Abstract
Background
Spontaneous subarachnoid hemorrhage (SAH) is a rare, but serious etiology of headache. The diagnosis of SAH is especially challenging in alert, neurologically intact patients, as missed or delayed diagnosis can be catastrophic.
Objectives
To perform a diagnostic accuracy systematic review and meta-analysis of history, physical examination, cerebrospinal fluid (CSF) tests, computed tomography (CT), and clinical decision rules for spontaneous SAH. A secondary objective was to delineate probability of disease thresholds for imaging and lumbar puncture (LP).
Methods
PUBMED, EMBASE, SCOPUS, and research meeting abstracts were searched up to June 2015 for studies of emergency department (ED) patients with acute headache clinically concerning for spontaneous SAH. QUADAS-2 was used to assess study quality and, when appropriate, meta-analysis was conducted using random effects models. Outcomes were sensitivity, specificity, positive (LR+) and negative (LR−) likelihood ratios. To identify test- and treatment-thresholds, we employed the Pauker-Kassirer method with Bernstein test-indication curves using the summary estimates of diagnostic accuracy.
Results
A total of 5,022 publications were identified, of which 122 underwent full text-review; 22 studies were included (average SAH prevalence 7.5%). Diagnostic studies differed in assessment of history and physical exam findings, CT technology, analytical techniques used to identify xanthochromia, and criterion standards for SAH. Study quality by QUADAS-2 was variable; however, most had a relatively low-risk of biases. A history of neck pain (LR+ 4.1 [95% CI 2.2-7.6]) and neck stiffness on physical exam (LR+ 6.6 [4.0-11.0]) were the individual findings most strongly associated with SAH. Combinations of findings may rule out SAH, yet promising clinical decision rules await external validation. Non-contrast cranial CT within 6 hours of headache onset accurately ruled-in (LR+ 230 [6-8700]) and ruled-out SAH (LR− 0.01 [0-0.04]); CT beyond 6 hours had a LR− of 0.07 [0.01-0.61]. CSF analyses had lower diagnostic accuracy, whether using red blood cell (RBC) count or xanthochromia. At a threshold RBC count of 1,000 × 106/L, the LR+ was 5.7 [1.4-23] and LR− 0.21 [0.03-1.7]. Using the pooled estimates of diagnostic accuracy and testing risks and benefits, we estimate LP only benefits CT negative patients when the pre-LP probability of SAH is on the order of 5%, which corresponds to a pre-CT probability greater than 20%.
Conclusions
Less than one in ten headache patients concerning for SAH are ultimately diagnosed with SAH in recent studies. While certain symptoms and signs increase or decrease the likelihood of SAH, no single characteristic is sufficient to rule-in or rule-out SAH. Within 6 hours of symptom onset, non-contrast cranial CT is highly accurate, while a negative CT beyond 6 hours substantially reduces the likelihood of SAH. LP appears to benefit relatively few patients within a narrow pre-test probability range. With improvements in CT technology and an expanding body of evidence, test-thresholds for LP may become more precise, obviating the need for a post-CT LP in more acute headache patients. Existing SAH clinical decision rules await external validation, but offer the potential to identify subsets most likely to benefit from post-CT LP, angiography, or no further testing.
Introduction
Headache is a common presenting complaint to the Emergency Department (ED), and represents approximately 2% of ED visits annually in the United States.1 While most headaches are self-limiting, the possibility of spontaneous subarachnoid hemorrhage (SAH) is an important diagnostic consideration in patients presenting with a sudden, severe headache. These sudden onset headaches include the classic “thunderclap headache” that instantaneously peaks at headache onset, as well as headaches that reach maximal severity within seconds to one hour of onset. Sudden onset headaches include a wide spectrum of possible diagnoses, including SAH (approximately 1% of acute headaches), benign post-coital headache, exertional headache, intracranial cysts or tumors, intracerebral hemorrhage, hypophyseal apoplexy, sphenoid sinusitis, sinus thrombosis, cough-related, vascular dissection, cerebral vasospasm, and migraine headaches.2-10 Migraine and other more benign headaches mimic SAH and are estimated to be at least 50-times more common than SAH.11 Moreover, while SAH is often caused by a ruptured cerebral aneurysm and represents a neurosurgical emergency, a variety of other SAH etiologies range from the benign, low-pressure perimesencephalic hemorrhage which can be treated conservatively12,13 to vascular malformations, arterial dissection, and vasculitis which require time-sensitive interventions (Table 1).14 Thus, the diagnostic approach to acute headache epitomizes the practice of emergency medicine with a high stakes condition without a clear-cut presentation lurking within a high volume complaint, and ultimately most patients do not have a serious diagnosis.
Table 1.
Cerebral aneurysm |
Perimesencephalic |
Isolated convexity |
Vascular malformations (arteriovenous malformations/AVF) |
Arterial dissection |
Cerebral amyloid angiopathy |
Moyamoya |
Vasculitis (PRES, RCVS, lupus) |
Coagulopathy (thrombocytopenia, anticoagulation) |
Sickle cell disease |
Hypertension |
Sympathomimetic drugs |
Between 1960 and 1995, the six-month mortality of aneurysmal SAH decreased by 15% 15, but mortality remains 27%-44% with substantial regional variability.16 Up to 25% of patients die within 24 hours, and the three-month mortality rate can be as high as 50% without early definitive treatment.17 In addition, one-third of SAH survivors suffer neurological deficits affecting their daily lives15 and up to 50% never return to work.18 Early detection and treatment can significantly reduce morbidity and mortality.11,19 However, SAH can be a challenging diagnosis to make, particularly in alert, neurologically intact adults.20 Missed diagnosis is the primary reason for delayed treatment and case series suggest that 12%-53% of SAH cases are misdiagnosed on their initial presentation in a variety of settings, including the ED.21 Patients with misdiagnosed or undiagnosed warning bleeds that subsequently re-bleed have a 70% mortality.22-25 ED providers miss the diagnosis of SAH in about 5% of cases, primarily those with lower acuity at presentation and misdiagnosis is estimated to be more likely in non-teaching hospitals.26,27 Most emergency medicine and neurosurgery textbooks provide limited guidance on the diagnostic accuracy and utility of history, physical exam, cerebrospinal fluid (CSF) analysis, or CT for the diagnosis of SAH.28,29 Indeed, given the serious nature of the condition, few have proposed a sensible threshold below which testing is not necessary, which contributes to over-testing and the unintended consequences that include incidental findings with prolonged patient uncertainty.30
Unenhanced cranial CT is usually the first-line diagnostic test to evaluate for suspected SAH. Because early generation CTs did not detect up to 5% of SAHs, traditional teaching has emphasized the need to perform lumbar puncture (LP) to exclude SAH to reduce the probability of error. Yet many patients fear having an LP because an LP is painful, invasive, and can lead to a post-LP headache in 6%-30% of patients depending on the gauge of the LP needle.31 Additional clinician-level barriers to LP testing include the time needed to perform32 and low diagnostic yield.20,33-36 In addition, LP may be contraindicated if a patient has a bleeding disorder, increased intracranial pressure, or simply does not consent to the procedure.37 Despite dogma, LP is not always performed after CT and multicenter observational studies report that fewer than half of acute headache patients undergo LP following a negative CT to “rule-out” SAH. Even in these studies less than one in 100 LPs are ultimately deemed “true positives” after negative CT using a third generation scanner.38,39 Additionally, the specificity of LP is reduced by “traumatic taps” in which bleeding from the procedure contaminates the CSF being collected, estimated to occur in about one in six LPs.40 Identifying xanthochromia due to the breakdown of hemoglobin in CSF is considered to be pathognomonic for SAH, yet xanthochromia requires up to 12 hours to develop, and is prone to false positives due to ex vivo hemolysis or hyperbilirubinemia.21,41 National guidelines in the United Kingdom advocate using spectrophotometry to identify xanthochromia, yet nearly all North American hospitals rely on visual inspection alone.42 A recent systematic review comparing visual inspection to spectrophotometry to detect CSF xanthochromia was unable to draw a conclusion due to significant heterogeneity in the underlying studies.43
To our knowledge, there are no prior systematic reviews assessing the diagnostic accuracy of history, physical exam, and imaging studies for SAH in the setting of acute onset headache patients in the ED. Therefore, we set out to collect and summarize the available published literature regarding these characteristics as well as LP findings and clinical decision rules for spontaneous (non-traumatic) SAH. Since recent systematic reviews have evaluated CT angiography (CTA)44 and magnetic resonance angiography (MRA),45 we did not repeat these meta-analyses. However, additional studies exploring visible xanthochromia diagnostic accuracy have been published since the 2014 systematic review by Chu et al43 so we report an updated meta-analysis of visible xanthochromia. We also used these diagnostic accuracy estimates to delineate an optimal diagnostic strategy using the test-treatment threshold approach of Pauker and Kassirer.46,47 In particular, we used the graphical Bayesian approach of test-indication curves first proposed by Bernstein48 to identify the a priori likelihood of disease in patients for whom LP would be rational despite a negative cranial CT.
Methods
Study Design
We conducted a systematic review and meta-analysis of original research studies that reported data on the diagnosis of SAH in ED patients with acute headache. The design and manuscript structure conform to the recommendations from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)49 and the Meta-analysis of Observational Studies (MOOSE) criteria.50 Studies were included if they described adult patients (14 years or older) seen in an ED with acute headache or other symptoms or signs (such as syncope, acute mental status change, or otherwise unexplained nausea) and in whom SAH was a diagnostic consideration. In addition, studies had to report sufficient detail on the diagnostic test and criterion standard to be able to construct two-by-two tables. We elected to define “disease positive” as being an acute SAH including non-aneurysmal SAH (e.g. perimesencepahlic hemorrhage) as most original studies did not distinguish between SAH subtypes. We recognized that CT findings of subarachnoid blood were therefore incorporated into this definition, thereby inflating CT sensitivity, specificity, LR+ and LR− (incorporation bias), but report these estimates for completeness.51 Recognizing the absence of an accepted definition for a positive LP, we analyzed separately an erythrocyte count above 1,000×106/L in the final tube as well as either visible or spectrophotometric xanthochromia. Patients with negative imaging in whom LP was not performed were deemed as “disease negative” only when the authors reported effort at follow-up after hospital discharge. We excluded studies that solely reported data on patients with SAH (i.e. where only sensitivity could be calculated), precluding an estimate of specificity or likelihood ratios.
Search Strategy
We searched the published literature using strategies created for the concepts of Emergency Department, Headache, Subarachnoid Hemorrhage, Physical Exam, and Diagnostic Accuracy. Search strategies were established using a combination of standardized terms and key words, and were implemented in PubMed 1946-, Embase 1947-, and Scopus 1823-. All searches were completed in June 2015 and limited to English using database supplied limits. Full search strategies for PubMed and Embase are provided in the Online Appendix 1. One author (AMH) independently reviewed the titles and abstracts to identify potentially relevant articles. Where there were questions about inclusion, this was discussed with a second author (JMP) and a consensus decision was made about whether the article should be included for full-text review. Studies deemed not to contain clear inclusion or exclusion criteria were evaluated by a second author (JMP) before final inclusion or exclusion.
Data from each study were independently abstracted by two authors (AMH, CRC). Information abstracted included the individual study setting, inclusion criteria, exclusion criteria, specific CT (machine, slice number, and type of CT image), definition of disease, criteria for a positive LP, follow-up description, and whether or not there was neurosurgical intervention. The abstracted data were constructed into tables, which were confirmed by a second author (CRC); any uncertainty was discussed between the two authors and a consensus decision was made. In addition, the references for each full-text article were reviewed to assess whether additional studies could be included in the review, which were then assessed by full-text review. The authors conducted bibliographic searches of research abstract presented at scientific meetings published in Academic Emergency Medicine, Annals of Emergency Medicine, Stroke, Neurology, and Neurosurgery, from 2002 through October 2015.
Individual Evidence Quality Appraisal
Two authors (AMH, MJW) independently used the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS-2)52 for systematic reviews to evaluate the quality of evidence for the studies identified. These two authors used several a priori conditions to evaluate an individual study’s risk of bias and degree of applicability.
In the assessment of “inappropriate exclusions” reviewers assessed whether a study’s inclusion and exclusion criteria led investigators to evaluate suspected SAH patients who were more or less acutely ill than those typically evaluated in ED settings, which could introduce spectrum bias51 or spectrum effect53 and skew observed estimates of sensitivity (with sicker populations) or specificity (with less sick populations) upwards.
If the study setting was anything other than an ED (for example, a neurosurgery clinic) then the results were assessed as “low applicability”.
In the assessment of continuous data like CSF RBCs, if the authors pre-defined a threshold for abnormal (example, CSF RBC > 5 × 106 cells/L in the last tube is “abnormal”) then the study results were assessed as “low risk” of bias.
If the conduct of the index test differed from routine care (example, xanthochromia assessed using only spectrophotometry), then the results were assessed as “low applicability”.
No widely accepted criterion standard for SAH yet exists, so we accepted the gold standard of subarachnoid blood on unenhanced CT of the head, or CSF xanthochromia, or CSF RBCs > 5 × 106/L in the final sample of CSF when any of these findings included an aneurysm or arteriovenous malformation evident on cerebral angiography, as previously established by a consensus panel of emergency physicians and a neurosurgeon.39,54 If less than 100% of a study’s subjects underwent cerebral angiography, a surrogate outcome of medical record review and structured telephone follow-up of at least 6-months was necessary.20 Any other criterion standard was assessed as “high risk” for bias.
Assessing whether the target condition is identified is challenging in SAH diagnostic research. The ideal patient-centric diagnostic test would identify SAH patients with a lesion amenable to surgical or endovascular intervention rendering measurable benefit in mortality and morbidity.55 Since perimesencephalic bleeds cause about 10% of SAH cases yet require no intervention other than symptom control, diagnostic studies that report aneurysmal SAH separately from perimesencephalic SAH would provide a higher level of evidence by which to associate testing with patient-benefit. Unfortunately, few SAH studies report aneurysmal versus non-aneurysmal SAH separately, so the decision was made that any SAH identified using an acceptable criterion standard as defined above would be assessed as “high applicability”.
In assessing the uniformity of the criterion standard reported, if all patients with non-diagnostic CT and LP had either subsequent advanced imaging (angiography) or post-ED follow-up, then the risk of differential verification bias was assessed as being “low”.51
If a substantial number of patients were reported lost to follow-up and no sensitivity analysis assuming worst-case scenario (lost to follow-up = false negative SAH index test), then the risk of bias was assessed to be “high”.
Inter-rater QUADAS-2 reliability was assessed using prevalence adjusted, bias adjusted kappa values to adjust for unique biases between reviewers and the distribution of responses across categories.56 Discrepancies were then resolved by consensus.
Data Collection
We abstracted the study setting, study inclusion criteria, the criterion standard employed to diagnose SAH, CT technology, CSF analysis, follow-up procedures in patients who did not undergo both CT and LP, disease prevalence, and every variable on history, physical, or testing for which a 2×2 diagnostic accuracy table could be constructed. When reconstructed 2×2 contingency tables differed from the original investigators’ reports of sensitivity and specificity, we contacted the authors for clarity.
Data Analysis
Meta-analysis estimates were computed by one author (CRC) when ≥1 studies assessed the same finding on history or physical examination, or index testing. We chose to combine unenhanced cranial CT studies without distinguishing specific generations of technology since the detector number or geometry and the thickness of slices were frequently not specified. We generated combined estimates for diagnostic accuracy using a random-effects model (Meta-DiSc Version 1.4, Hospital Universitario Ramón y Cajal, Madrid, Spain).57,58 Interstudy heterogeneity was assessed using the Der-Simonian-Laird random effects model and the Index of Inconsistency (I2).59,60 Pooled estimates of dichotomous positive (LR+) and negative (LR−) likelihood ratios are also reported from the random effects model. Publication bias was not assessed because this is not an accepted approach in diagnostic meta-analyses due to the small number of studies generally identified.61
The added value of likelihood ratios over positive and negative predictive values is that likelihood ratios are independent of disease prevalence.62 In addition, likelihood ratios can be used on an individual patient to estimate post-test probabilities, unlike sensitivity and specificity.63 Larger LR+ increase the post-test probability of a disease more than smaller values of LR+; similarly, smaller LR− decrease the post-test probability of a disease more than larger values of LR−. Note that a likelihood ratio of 1 does not change the post-test probability at all. One rule of thumb is that LR+ >10 and LR− < 0.1 provide considerable diagnostic value.64
Test–Treatment Threshold
We used the Pauker-Kassirer method to estimate thresholds for further testing or treatment.47 This technique is based on the diagnostic accuracy of a test, as well as the estimated risks of testing and of treatment, and the anticipated benefit of treatment. We performed a separate analysis for each of the two primary tests in question, namely cranial CT (stratified by time post headache onset) and LP (using either CSF RBC or visible xanthochromia to define “positive LP”). We used the pooled estimates from the meta-analysis for test sensitivity and specificity, and our collective clinical experience and selected references to estimate risks and benefits. We extended the test-indication curve method first proposed by Bernstein48 to visually represent this analysis. Specifically, the curves display how the information conveyed by a positive or negative test result affects a given patient’s post-test probability of disease relative to the treatment threshold. These test-indication curves were originally developed to illustrate the pre-test probability at which testing is no longer indicated based only on the net utilities of treating or not treating patients with and without disease.46 We extended this graphical approach to incorporate the non-zero risks of testing, which necessarily narrow the range of probabilities for which testing remains rational.47,65 Because the precise utilities of both testing and treatment are difficult to estimate on a common scale, we performed sensitivity analyses by doubling and halving the calculated treatment threshold (i.e. the ratio of risks of treatment to the sum of risks and benefits),48 and also by reducing the risk of testing by half and recalculating the test thresholds. Recognizing that these estimates are nevertheless somewhat arbitrary, we also provide an interactive calculator to permit readers to re-compute thresholds using different estimates of test performance or anticipated risks and benefits that may be more applicable to the end users’ patient populations and clinical environments.
In developing the test-treatment threshold, we were most interested in the common clinical dilemma of whether to perform LP after a negative cranial CT, or to forgo LP and proceed directly to angiography. Because CT-positive or LP-positive patients do not immediately undergo neurosurgical clipping or endovascular coiling, the next step being contemplated is usually angiography, typically by CT or MRA (and sometimes by digital subtraction fluoroscopy), followed by intervention when a culprit aneurysm is identified. Therefore, for Pauker-Kassirer modeling we designated the “test” of interest as being either the unenhanced CT or the LP, and the “treatment” as being angiography. Furthermore, because an LP is usually done after a negative CT, we considered how a negative unenhanced cranial CT would affect the post-CT (i.e. pre-LP) probability of still having a SAH across the range of pre-CT probabilities.
Results
A total of 5,022 citations were identified through a search of PUBMED, EMBASE, and SCOPUS. From this search, 399 duplicate citations were removed. 122 studies underwent full text-review; of these, 22 studies were included in the current analysis. (Figure 1 and Table 2). Although most studies enrolled only awake and alert patients with a GCS of 15, some also included those with decreased level of consciousness which could introduce spectrum effect into observed estimates of diagnostic accuracy. All studies were conducted in North American or European countries. Each study included the presence of subarachnoid blood on unenhanced cranial CT as representing “disease positive”. Descriptors of the specific technology utilized for CT scanners and spectrophotometric assessment for CSF xanthochromia were inconsistent. Definitions of xanthochromia ranged from direct visual inspection to spectrophotometric analysis. When using spectrophotometry, studies varied with regards to wavelengths sampled and specific algorithms used to adjust for interference by oxyhemoglobin, protein, and other corrections. Clinical follow-up proportion varied considerably, ranging from no follow-up to complete follow-up with cross-checking of coroner records to ensure no missed deaths. Assessment of studies by QUADAS-2 (Table 3) showed significant heterogeneity in reference standards used, blinding of index test interpreters to the reference standard and vice versa. Agreement between reviewers was fair for all QUADAS-2 elements except for index and reference standard blinding, reference standard appropriateness, and acceptable application of index test in which cases the agreement was poor.66 However, most studies had a relatively low-risk of biases overall.
Table 2.
Study | Location | Setting | No. Patients |
Mean age* |
Inclusion Criteria |
Study Design | SAH Criterion Standard |
SAH prevalence % |
Variables Assessed |
Follow- Up |
---|---|---|---|---|---|---|---|---|---|---|
Backes 2012 | University Medical Center, Utrecht, Netherlands, 2005-2012 |
ED | 250 | 48* | Age >16 years, clinical suspicion of acute onset SAH, GCS 15 |
Two prospective databases. First database consecutive patients with confirmed SAH. Second all LP patients with SPT |
Not explicitly defined |
42.0 | Sen/Spec CT at <6- hours and >6-hours for SAH |
None |
Bo 2008 | Akershus University Hospital, Norway, 1998-2002 |
ED | 433 | 44 | Age >14 years, acute onset worst headache of life |
Prospective observational consecutive sampling cohort |
Consensus between two neurologists, but not explicitly defined |
16.4 | Sen/Spec of elements of history including activity at onset, and peak intensity for SAH |
None |
Boesiger 2005 |
Pitt County Memorial Hospital, Greenville SC, 2002 |
ED | 177 | NR | Adults with headache work-up including CT and LP |
Retrospective chart review |
SAH observed on CT or ≥400 RBC in CSF tube 1 that did not clear by 10-fold |
3.4 | Sen/Spec of CT for SAH |
Phone f/u at 1-year if ≥400 RBC in CSF tube 1 that did not clear by 10-fold |
Brunell 2013 |
Uppsala University Hospital, Uppsala Sweden, 2009-2011 |
Hospit al |
453 | NR | Age>10 years with LP to exclude SAH |
Lab information system review |
CSF hemoglobin detection via SPT using 415 nm wavelength or CSF bilirubin detection via automatic analyzer |
1.1 | Sen/spec of CSF RBC for SAH |
None |
Carstairs 2006 |
Naval Medical Center San Diego CA, July 2002-July 2004 |
ED | 116 | 39 | Age>18 with either worst headache of life or onset <60 seconds or associated neuro deficit |
Prospective observational consecutive sampling cohort |
SAH observed on CT or RBC in CSF tube 1 that did not clear by >25% in tube 4 or presence of xanthochromi a on visual inspection by lab |
4.3 | Sen/Spec of CTA & elements of history including stiff neck, blurred vision, & altered mental status |
None |
Czuczman 2013 |
Unspecified urban tertiary care hospital, 2001-2009 |
ED | 220 | 44 | Adults with headaches billed for LPs, ≥5 RBC in final CSF tube, and either CT angiogram or magnetic resonance angiogram within 2- weeks |
Retrospective case series |
Either 1) presence of SAH on imaging; 2) xanthochromi a with aneurysm or AVM>2mm; 3) xanthochromi a and culture- or PCR- negative meningitis |
11.8 | Sen/Spec of elements of history including sudden onset headache, worst headache, & onset with exertion; CSF RBC iLRs |
None |
Dupont 2008 |
St. Mary’s Hospital, Rochester MN, 1998- 2007 |
ED | 117 | 45 | Age>18 with headache onset <2 weeks prior with both non-contrast CT for detection of blood and LP |
Retrospective chart review |
Not specified | 12.0 | Sen/Spec visual xanthochr omia for aneurysm |
None |
Gangloff 2015 |
Hôpital de l’Enfant-Jésus, Quebec Canada, 2003- 2009 |
ED | 706 | 41 | Age>14 with acute headache suspicious for SAH, GCS 15, and initial head CT negative for SAH with subsequent LP |
Retrospective case series |
Presence of any aneurysm and presence of either visual xantho or >5 × 106 RBC/L in last CSF tube |
0.7 | Sen/Spec visual xantho, iterative SPT, or UK NEQUA SPT |
None |
Hann 2015 | Royal Brisbane & Women’s Hospital, June 2005-July 2012 |
ED | 409 | 38 | Adults discharged with headache after CSF evaluation for xantho |
Retrospective case series |
Presence of vascular aneurysm on angiogram within 30- days of headache or no repeat ED visit or SAH death in 30- days |
1.5 | Sen/Spec visual xantho via visual inspection |
Review of Queensland death registry |
Landtblom 2002 |
University Hospital, Linköping Sweden over unspecified 31-month period |
ED | 137 | 42* | Age>18 years presenting within 10 days of headache onset with abrupt onset (<10 second) headache, examined by on-call Neurologist |
Prospective observational cohort |
Not specified | 11.3 | Sen/Spec of elements of history including sudden onset headache, worst headache, & nausea |
Phone at 2-4 days, 7-9 days, and 1-, 3-, 6-, and 12- months for 90 subjects without SAH |
Linn 1998 | Utrecht University Hospital, Utrecht, Netherlands, Jan 1992-Oct 1994 |
ED | 102 | 48 | Alert adult patients without focal neuro deficit referred to ED by general practitioner with concern for SAH with CT and LP |
Prospective observational cohort |
Not specified | 41.2 | Sen/Spec of elements of history including activity at onset and acuity of onset |
None |
Morgenstern 1998 |
Hermann Hospital, Houston TX, March 1995- June 1996 |
ED | 97 | 39 | Adult patients with 10/10 worst headache of life |
Prospective observational cohort |
Either 1) presence of SAH on imaging OR 2) CSF RBC > 1000 with <25% decrement from first to last tube with either visual xantho, SPT xantho, or elevated D- dimer |
18.6 | Sen/Spec of elements of history & physical exam including nausea, stiff neck, and lethargy |
Phone f/u at mean 24 months |
O’Neill 2005 | Unspecified hospital over unspecified 1- year period |
ED | 116 | NR | Acute headache <24 hours, clinical suspicion SAH, referred for CT from ED |
Retrospective chart review |
Not specified | 16.4 | Sen/Spec of CT for SAH |
None |
Perry 2006 | 6 Canadian tertiary care EDs, July 2002-Jan 2004 |
ED | 220 | 42 | Age>15 years with acute, spontaneous headache with or without syncope |
Pre-planned sub- study of prospective, consecutive patient cohort study |
Any one of the following: subarachnoid blood on CT, >5×106/L RBC in 3rd or 4th tube of CSF, or visible xantho + aneurysm on cerebral angiography |
0.9 | Sen/Spec of visual inspection for xanth and 4 SPT methods for xantho for SAH |
Phone f/u at 1- month for CT-, LP- patients; chart review at 1-month for all patients |
Perry 2010 | 6 Canadian tertiary care EDs, Nov 2000-Nov 2005 |
ED | 1999 | 43 | Age≥16 years with spontaneous headache peaking within 1- hour or syncope associated with a headache |
Prospective cohort study |
Any one of the following: subarachnoid blood on CT, visual xantho, >5×106/L RBC in the final tube of CSF with an aneurysm or AVM on cerebral angiography |
6.5 | Sen/Spec of elements of history including activity at onset, neck stiffness, and arrival mode. Also, derivation of 3 CDRs |
Phone f/u at 1- and 6-months for all patients without CT or LP; chart review & Ontario registry review at study end for same patients |
Perry 2011 | 11 Canadian tertiary care EDs, Nov 2000-Dec 2009 |
ED | 3132 | 45 | Age>15 years with acute, spontaneous headache with or without syncope |
Prospective cohort study |
Any one of the following: subarachnoid blood on CT, visual xantho, >5×106/L RBC in the final tube of CSF with an aneurysm or AVM on cerebral angiography |
7.7 | Sen/Spec CT at <6- hours and >6-hours for SAH |
Phone f/u at 1- and 6-months for all patients without CT or LP; chart review & provincial coroner’s records at study end for same patients |
Perry 2013 | 10 Canadian tertiary care EDs, Nov 2000-Dec 2009 |
ED | 2131 | 44 | Age≥16 years with spontaneous headache peaking within 1- hour or syncope associated with a headache |
Prospective cohort study |
Any one of the following: subarachnoid blood on CT, visual xantho, >5×106/L RBC in the final tube of CSF with an aneurysm or AVM on cerebral angiography |
6.2 | Sen/Spec of elements of history & physical exam including activity at onset, neck stiffness, and arrival mode. Also, derivation of 4 SAH CDRs |
Phone f/u at 1- and 6-months for all patients without CT or LP; chart review & provincial coroner’s records at study end for same patients |
Perry 2015 | 12 Canadian tertiary care EDs, April 2006-July 2010 |
ED | 1739 1098 normal LP 641 abnl LP |
44 | Age>15 years with acute, spontaneous headache with or without syncope with LP to evaluate potential SAH |
Pre-planned sub- study of prospective, consecutive patient cohort study |
Aneurysmal SAH if: subarachnoid blood on CT, visual xantho,or any RBC in the final tube of CSF with an aneurysm on cerebral angiography |
2.3 | Sen/Spec of <2000 × 106/L RBC in CSF + no xantho for diagnosis aneurysmal SAH |
Phone f/u at 1- and 6-months for all patients without CT or LP; chart review & provincial coroner’s records at study end for same patients |
Van der Wee 1995 |
University hospitals in Utrecht and Rotterdam Netherlands, 1989-1993 |
NR | 175 | NR | Acute headache without confusion or focal deficit with CT within 12- hours |
Unclear whether retrospective or prospective “consecutive” case series |
Not specified | 68 | Sen/Spec CT at <12- hours for SAH |
None |
Wood 2015 | Princess Alexandra Hospital, Brisbane Queensland Australia, Jan 2000-April 2003 |
NR | 240 | NR | Acute or unusually severe headache with LP after a normal cranial CT for possible diagnosis of SAH |
Retrospective chart review |
Uniform CSF bloodstaining across serial samples with visual xantho and “positive” angiography |
0.8 | Sen/Spec of CSF SPT (XI > 0.080) |
None |
Median
Abbreviations: ED = emergency department, SAH = subarachnoid hemorrhage, GCS = Glasgow Coma Scale, sen = sensitivity, spec = specificity, CT = computed tomography, f/u = follow-up, RBC = red blood cell, CTA = CT angiogram, AVM = arteriovenous malformation, LP = lumbar puncture, CSF = cerebrospinal fluid, iLR = interval likelihood ratio, UKNEQUASPT = United Kingdom National External Quality Assessment Service photochromatography, xantho = xanthochromia, CDR = clinical decision rule
Table 3.
Study | Sample | Avoided Inappropriate Exclusions? |
Patients and Settings Match Study Question? |
Blinded Interpretation of Index Test? |
Acceptable Index Test Application? |
Acceptable Reference (Gold) Standard? |
Outcomes Assessed by Blinded Assessor? |
Assessed Outcomes Pertinent? |
Appropriate Interval Between Index Test & Reference Standard? |
Same Reference (Gold) Standard for All Patients? |
All Patients Analyzed? |
---|---|---|---|---|---|---|---|---|---|---|---|
Backes 2012 |
Consecutive | YES | YES | NO | YES | NO | NO | NO | YES | YES | YES |
Bo 2008 | Consecutive | YES | YES | NO | NO | NO | NO | NO | YES | YES | YES |
Boesiger 2005 |
Consecutive | YES | YES | NO | YES | YES | YES | NO | YES | YES | YES |
Brunell 2013 | Consecutive | YES | YES | YES | NO | NO | YES | NO | YES | YES | YES |
Carstairs 2006 |
Consecutive | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES |
Czuczman 2013 |
Consecutive | YES | NO | YES | YES | YES | NO | YES | YES | YES | YES |
Dupont 2008 |
Consecutive | NO | YES | NO | YES | YES | NO | YES | YES | NO | YES |
Gangloff 2015 |
Consecutive | YES | YES | NO | NO | YES | NO | YES | YES | NO | NO |
Hann 2014 | Consecutive | NO | NO | NO | NO | YES | NO | YES | YES | YES | YES |
Landtblom 2002 |
Consecutive | YES | YES | NO | NO | YES | NO | YES | YES | YES | YES |
Linn 1998 | Consecutive | YES | YES | NO | YES | NO | NO | YES | YES | NO | YES |
Morgenstern 1998 |
Consecutive | YES | YES | YES | NO | NO | YES | NO | YES | YES | NO |
O’Neill 2005 | Consecutive | YES | YES | YES | YES | NO | YES | YES | YES | YES | NO |
Perry 2006 | Consecutive | NO | YES | YES | YES | YES | NO | YES | YES | YES | YES |
Perry 2010 | Consecutive | YES | YES | YES | YES | YES | NO | YES | YES | YES | NO |
Perry 2011 | Consecutive | YES | YES | YES | YES | YES | YES | YES | YES | YES | NO |
Perry 2013 | Consecutive | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES |
Perry 2015 | Consecutive | YES | YES | YES | YES | YES | NO | YES | YES | YES | YES |
van der Wee 1995 |
Consecutive | NO | NO | NO | NO | NO | NO | NO | YES | YES | YES |
Wood 2005 | Consecutive | NO | NO | NO | NO | NO | NO | YES | NO | YES | YES |
Kappa * | 1.00 | 0.33 | 0.52 | 0.05 | 0.14 | 0.05 | 0.05 | 0.43 | 0.52 | 0.62 | 0.33 |
Prevalence adjusted, bias adjusted kappa as described by .
Prevalence
The overall prevalence of SAH in these studies ranged from 0.91% to 68%. In prospective studies within the last ten years, the prevalence ranged from 0.91% to 17% with a weighted average of 7.5%. Two of the studies with the lowest prevalence enrolled patients undergoing LP following a negative CT.67,68
History and Physical Examination
Eight studies described the diagnostic accuracy for 22 components of history2,17,33,38,39,69-71 (Table 4 and Figure 2) and six studies described the diagnostic accuracy for four physical exam tests 2,17,69,70 (Table 4 and Figure 3) for SAH. Within these studies there was significant heterogeneity in the manner in which history and physical characteristics were obtained and defined. For example, Perry et al. defined limited neck flexion on physical exam as “inability to touch chin to chest or raise the head 8 cm off the bed if supine”,39 whereas Carstairs provided no descriptor of how “nuchal rigidity” was objectively assessed on physical exam.17 Perry et al. reported the inter-physician reliability of elements of the history and physical exam, with kappa (κ) values ranging from 0.44 to 1.00. The least reliable findings were thunderclap headache (κ= 0.49) and limited neck flexion (κ= 0.44).39
Table 4.
Risk Factor | Sensitivity, % (95% CI) |
Specificity, % (95% CI) |
Positive LR (95% CI) |
Negative LR (95% CI) |
---|---|---|---|---|
| ||||
Diplopia | ||||
Landtblom 2002 | 0 (0-15) | 98 (94-100) | 0.96 (0.05-19.33) | 1.00 (0.94-1.07) |
| ||||
Family History cerebral
aneurysm |
||||
Czuczman 2013 | 0 (0-13) | 92 (87-95) | 0.22 (0.01-3.54) | 1.07 (1.00-1.15) |
| ||||
Lethargy | ||||
Morgenstern 1998 | 39 (17-64) | 82 (72-90) | 2.19 (1.04-4.64) | 0.74 (0.51-1.09) |
| ||||
Onset < 1 minute | 50 (34-66) | 45 (32-58) | 0.91 (0.62-1.33) | 1.11 (0.74-1.68) |
Linn 1998 | ||||
| ||||
Onset 1-5 minutes | 24 (12-39) | 87 (75-94) | 1.79 (0.77-4.14) | 0.88 (0.72-1.07) |
Linn 1998 | ||||
| ||||
Onset <1 hour | 100 (95-100) | 12 (9-16) | 1.13 (1.09-1.19) | 0.06 (0-0.95) |
Bo 2008 | ||||
| ||||
PMH chronic headache | 19 (7-39) | 79 (73-85) | 0.93 (0.40-2.91) | 1.02 (0.83-1.24) |
Czuczman 2013 | ||||
| ||||
PMH of hypertension | 31 (14-52) | 80 (74-85) | 1.53 (0.81-2.91) | 0.87 (0.66-1.13) |
Czuczman 2013 | ||||
| ||||
Scotomata | 0 (0-15) | 93 (87-97) | 0.28 (0.02-4.72) | 1.06 (0.98-1.14) |
Landtblom 2002 | ||||
| ||||
Similar headache in past | 19 (9-34) | 90 (79-96) | 1.90 (0.71-5.09) | 0.90 (0.76-1.07) |
Linn 1998 |
No single element of history had a very high pooled LR+. The findings on history that increased the probability of SAH the most included subjective neck stiffness (LR+ 4.12, 95% CI 2.24-7.59), while the absence of “worst headache of life” (LR− 0.36, 95% CI 0.01-14.22) or onset of headache over more than one hour (LR− 0.06, 95% CI 0-0.95) each reduced the probability of SAH.
On physical exam, neck stiffness (LR+ 6.59, 95% CI 3.95-11.00) was strongly associated with SAH as reported in three studies, but no single physical exam finding had a LR− less than 0.74. Most elements of history and physical exam demonstrated significant statistical heterogeneity.
Clinical Decision Rules
Four related SAH clinical decision rules have been described, three of which were prospectively validated in a subsequent study by the same investigator group to generate the final refined Ottawa SAH Rule. Since more than one study is needed to perform a meta-analysis, we were unable to pool diagnostic accuracy results for SAH Clinical Decision Rules. The component elements of each decision rule, along with their combined accuracy and reliability are available in Online Appendix 2. Rule 1 appears sufficient to rule-out SAH (LR− 0.06, 95% CI 0.01-0.22), was uncomfortable to use for only 18% of surveyed emergency physicians, was misinterpreted in 4.7% of cases, and would theoretically decrease CT and/or LP testing rates from 84% to 74%. On the other hand, the Ottawa SAH Rule more accurately rules out SAH (LR− 0.02, 95% CI 0.00-0.39), but could increase CT and/or LP testing rates if strictly applied.39
Advanced Imaging
Five studies examined the diagnostic accuracy of non-contrast CT (Figure 4).20,72-75 The pooled estimate for sensitivity was 94% (95% CI 91%-96%, I2 = 74%) and LR− 0.07 (95% CI 0.03-0.17, I2 = 78%). van der Wee et al assessed CT accuracy at 12 hours, but did not provide sufficient data to reconstruct 2×2 tables stratified by that time threshold.72 Three other studies reported diagnostic accuracy stratified by the time interval since symptom onset, but only two reported the threshold of less than 6 hours.20,70,75 Pooled sensitivity within the first 6 hours of symptom onset is 100% (95% CI 98%-100%, I2 = 0%) and LR− 0.01 (95% CI 0-0.04, I2 = 0%). Beyond 6 hours the pooled sensitivity of CT is 89% (95% CI 83%-93%, I2 = 89%) and LR− 0.07 (CI 0.01-0.61, I2 = 63%).
CSF Erythrocytes and Xanthochromia
Six studies examined diagnostic accuracy of xanthrochromia on CSF analysis, but investigators used variable methods to assess xanthochromia ranging from visible inspection33,67,68,76 to multiple different spectrophotometric assays (Table 5, Figure 5).34,67,68,77 For visible xanthochromia the pooled meta-analysis results were: sensitivity 85% (95% CI 66%-96%, I2 = 0%), specificity 97% (95% CI 96%-98%, I2 = 13%), LR+ 24.67 (95% CI 12.13-50.14, I2 = 64%), and LR− 0.22 (95% CI 0.09-0.54, I2 = 13%). Both Perry and Gangloff evaluated spectrophotometric bilirubin using the United Kingdom National External Quality Assessment Service (UKNEQUAS) algorithm78 with pooled sensitivity 100% (95% CI 59%-100%, I2 = 0%), specificity 95% (95% CI 93%-96%, I2 = 98%), LR+ 15.23 (95% CI 1.58-146.73, I2 = 96%), and LR− 0.13 (0.02-0.83, I2 = 0%).67,68 The diagnostic accuracies of other spectrophotometric methods to evaluate for CSF bilirubin are also summarized in Table 5.
Table 5.
Risk Factor | Sensitivity, % (95% CI) |
Specificity, % (95% CI) |
Positive LR (95% CI) |
Negative LR (95% CI) |
---|---|---|---|---|
| ||||
CSF RBC >1000 | ||||
Czuczman 2013 | 65 (44-83) | 79 (72-84) | 3.09 (2.09-4.57) | 0.44 (0.26-0.75) |
Perry 2015 | 93 (68-100) | 91 (88-93) | 10.25 (7.73-13.59) | 0.07 (0.01-0.49) |
Pooled Accuracy | 76 (60-88) | 88 (86-90) | 5.66 (1.38-23.27) | 0.21 (0.03-1.66) |
| ||||
Xanthochromia – UK
NEQAS |
100 (16-100) | 83 (77-88) | 4.87 (2.71-8.73) | 0.20 (0.02-2.53) |
Perry 2006 | 100 (48-100) | 98 (97-99) | 47.67 (26.67-85.20) | 0.08 (0.01-1.21) |
Gangloff 2015 | 100 (59-100) | 95 (93-96) | 15.23 (1.58-146.73) | 0.13 (0.02-0.83) |
Pooled Accuracy | ||||
| ||||
Xanthochromia -- Visual | ||||
Perry 2006 | 50 (1-99) | 97 (93-99) | 15.57 (3.25-74.54) | 0.52 (0.13-2.07) |
Dupont 2008 | 93 (66-100) | 95 (89-98) | 19.13 (8.04-45.45) | 0.08 (0.01-0.50) |
Gangloff 2015 | 80 (28-99) | 99 (98-99) | 62.31 (28.47-136.37) | 0.20 (0.04-1.17) |
Pooled Accuracy | 31 (21-41) | 98 (97-99) | 28.79 (9.77-84.80) | 0.22 (0.06-0.80) |
| ||||
Xanthochromia --
Traditional |
||||
Perry 2006 | 100 (16-100) | 29 (23-35) | 1.17 (0.70-1.96) | 0.57 (0.05-7.28) |
| ||||
Xanthochromia –
Chalmers/Kiley |
||||
Perry 2006 | 0 (0-84) | 89 (84-93) | 1.49 (0.12-19.23) | 0.94 (0.56-1.56) |
| ||||
Xanthochromia –
Chalmers revised |
100 (16-100) | 29 (23-35) | 1.17 (0.70-1.96) | 0.57 (0.05-7.28) |
Perry 2006 |
Two studies evaluated CSF erythrocyte counts to distinguish a traumatic LP from an aneurysmal SAH. Perry et al. noted a sensitivity of 93% (95% CI 68%-100%), specificity 91% (95% CI 88%-93%), LR+ 10.25 (95% CI 7.7-13.6), and LR− 0.07 (95% CI 0.01-0.49) at a threshold CSF RBC <2,000 × 106/L in the final tube of CSF collected.79 Czuczman et al. reported interval likelihood ratios (iLR)80 for CSF RBC counts in the final tube collected (using units of cells per microliter): iLR<100 = 0, iLR100-10,000 = 1.6, iLR>10,000 = 6.3.33 Using raw data from these two studies to evaluate the summary diagnostic accuracy for CSF RBC in the final tube at an arbitrarily selected new threshold of 1,000 × 106/L, the pooled sensitivity was 76% (95% CI 60%-88%, I2 = 79%), specificity was 88% (95% CI 86%-90%, I2 = 95%), LR+ was 5.7 (95% CI 1.4-23, I2 = 97%), and LR− 0.21 (95% CI 0.03-1.66 I2 = 78%). The diagnostic accuracy of CT and LP, and specifically how the test results affect the post-test probability of disease in a Bayesian fashion, are represented in Figure 6.
Test-Treatment Threshold
The risks of treatment (designated Rrx by Pauker and Kassirer47) were primarily those ascribed to angiography itself, and not those of eventual neurosurgical intervention. These risks included additional exposure to ionizing radiation and to contrast, the risks of vascular access and allergic reactions, and the remote risk of stroke or other end-organ damage. The life-time risk of malignancy secondary to exposure to ionizing radiation is a function of dose and age; an adult is typically exposed to 20 mGy radiation during cranial CT. Using an average lifetime cancer risk attributable to such an exposure of almost 1%,81 we deemed the total risks related to angiography to be relatively low at 0.02.
When considering the benefits of treatment (Brx), we considered primarily the benefits of treating an aneurysmal SAH. Overall, SAH has 12% mortality prior to arrival in the ED, and 40% in-hospital mortality at one month despite treatment. In addition, one-third of survivors suffer a severe neurological deficit.82,83 Neurosurgical and interventional radiology treatment options include clipping and coiling the culprit aneurysm when present, with several large randomized trials reporting long-term poor outcomes in up to 35% of treated subjects.84-86 The long-term benefits of early diagnosis and treatment in the subset of patients who present awake and neurologically intact are not well characterized but presumably somewhat better, so we assigned an optimistic overall treatment benefit (Brx) of 0.8 with immediate diagnosis.
For LP we considered the common morbidity of a post-dural puncture headache, discomfort, and remote risks of infection, and assigned a test risk (Rt) of 0.01. The testing thresholds from these estimates of potential risk and potential benefit are depicted in Figure 7. The thresholds bracketing indifference between LP versus either no further testing (Ttest) or angiography (Ttreat) were very narrow, suggesting that LP should only be considered for patients with a pre-LP probability between 2% and 7% (when using visible xanthochromia) or between 2% and 4% (when using CSF erythrocyte count). Lower risk patients need no further testing and avoid LP, while higher risk patients benefit from angiography and again avoid LP.
Of note, these rather narrow pre-LP probability bands correspond to the post-CT disease probability, not the original estimate based on history and physical examination (i.e. not the pre-CT estimate). In other words, one should take the pre-CT probability estimate and incorporate the information gained from a negative CT in a Bayesian fashion. The impact of a negative CT on the post-CT (i.e. pre-LP) probability is also shown in Figure 7, depending on the interval between headache onset and imaging. Thus, a pre-LP probability of 2% to 7% represents a pre-CT prior probability of over 70% (based on history and physical) for a CT obtained within 6 hours, and over 20% for a CT obtained beyond 6 hours. The sensitivity analyses showed that these estimates were stable across a range of utilities and were primarily influenced by the diagnostic accuracy of the tests being considered, as illustrated in the Figures. When the risks of testing (LP) were allowed to approach the risks of treatment (angiography), then LP was no longer indicated at any pre-test probability. Table 6 provides an example illustrating how to use Test Indication curves for diagnostic decision-making.
Table 6.
You have just seen a 48-year-old housewife who presents to the ED by private vehicle 8 hours after the onset of a severe headache which peaked within 10 minutes of onset. She is nauseated and complains of neck stiffness but her neurological exam is intact and she is able to fully flex her neck. You assign a pre-test probability of 10% for SAH, and await the final read by the neuroradiologist on duty even though the imaging study appears to be unremarkable to you and to the CT technician. The test treatment curves can be used like the Fagan nomogram to calculate the post-test probability of disease. Therefore you can estimate that the post-test probability will be around 0.8% should the study prove negative (Fig TIC panel B). You can also estimate that, if you had performed an LP rather than CT, the post-test likelihood would be around 2% if fewer than 1000 × 10^6/L RBC were present in the final tube of CSF (panel C), and similarly 2% if there were no visible xanthochromia. But you can also “chain” sequential test results, with the usual caveat that the tests may not be perfectly independent. Thus, after the neuroradiologist confirms that there are no signs of SAH on the CT, the same patient would have her probability of disease lowered from 0.8% pre-LP to about 0.1% after an LP negative for xanthochromia (panel D). Moreover, decision analysis would suggest that, for this patient, the risks of LP outweigh the potential benefits, since the pre-test probability of 0.8% is already below the range when LP is beneficial whether one uses erythrocyte count or xanthochromia, as indicated by the horizontal arrows on the test indication curves. |
Discussion
The results of this systematic review demonstrate that neither the presence nor the absence of commonly cited SAH risk factors from history and physical examination accurately rule-in or rule-out this potentially lethal diagnosis. Specifically, no single history or physical exam finding significantly increases (LR+>10) or decreases (LR− < 0.1) the post-test probability of SAH for severe headaches that peak within one hour of onset. In addition, many elements of history and physical exam for SAH have only fair to good inter-physician reliability, with the characterization of the headache as “thunderclap” being one of the least reproducible findings.39 Nonetheless, many physicians would prefer to never miss a SAH, and missed SAH remains an important cause of litigation in emergency medicine.23,87
Lacking accurate features on clinical presentation and recognizing the tension between malpractice risk and a growing imperative to preserve limited healthcare resources, to adhere to Choosing Wisely recommendations,23,87,88 and to avoid the unintended harms of over-diagnosis,30 clinical researchers have endeavored to develop more efficient prediction instruments. Yet the development of highly sensitive instruments requires both large datasets and rigorous adherence to methodological standards. To illustrate, a retrospective validation of Rule 1 using medical record review in Northern California reported a LR− of 0.13 (95% CI 0.03-0.61) and reportedly missed 11 cases (20%) of SAH cases despite cranial CT within 6 hours.89 Another retrospective study of aneurysmal SAH patients demonstrated 100% sensitivity (95% CI 97.6%-100%) using the combination of negative cranial CT and all negative responses on the Ottawa SAH Rule.90 However, validating a clinical decision rule retrospectively is sub-optimal since all components of the rule may not be recorded in the medical records and whether to code missing variables as unknown or not present is frequently a question.91 In the retrospective validation of Rule 1, the “onset during exertion” variable was missing in one-third of patients.92 Therefore, these instruments should ideally undergo prospective validation in different settings before widespread adoption.91,93
Unenhanced CT remains the first-line imaging test in ED headache patients with suspected spontaneous SAH. Within 6 hours of headache onset, CT demonstrates sufficient accuracy to rule-in or to rule-out SAH, notwithstanding the heterogeneity of the estimated specificity and LR+ of the two studies identified. Beyond 6 hours the estimated LR− (95% CI 0.01-0.61) and sensitivity (95% CI 83%-93%) become less precise and concerns regarding heterogeneity (I2 89% and 63%, respectively) allow the interpretation that the accuracy of cranial CT to rule-out SAH could range from very good (LR− 0.01) to unhelpful (LR− 0.61) taking the extremes of the 95% confidence interval. Therefore, the timing of CT relative to symptom onset has remained an important qualifier when estimating the diagnostic accuracy of the CT. Of course, CT can identify other causes of headache or other abnormalities, and similarly can miss SAH due to cervical arteriovenous malformations.75 Some researchers in the field stipulate that the CT should be interpreted by an experienced neuro-radiologist, although recent research indicates that radiologists at non-academic centers may be equally adept.35
Despite advances in CT imaging, substantial debate persists surrounding the necessity of LP following a negative head CT, particularly within the first six hours after onset of headache.94-98 While CSF can provide crucial diagnostic information for alternative etiologies of headache like meningitis, it remains an imperfect test for SAH. Traumatic (blood-contaminated) LPs occur in 1 of 6 cases.40 Xanthochromia takes many hours to develop, and is variably defined. In addition, post-LP headaches are common31,99 despite increasing use of smaller gauge, atraumatic spinal needles and re-inserting the stylet before needle removal.32 Other potential complications include low back pain, brainstem herniation, iatrogenic infection, epidural nerve injury, and spinal hemorrhage.100,101 These factors combined with patients’ negative bias against the procedure and the physician time needed help explain emergency physicians’ reluctance to pursue LP despite a long-held belief that this procedure was mandatory in the setting of suspected SAH.102-105 Our analysis provides new insight into the limited utility of performing LP to rule out SAH after a negative CT. We found that, by incorporating the risks and benefits of both testing and continued investigation into the decision analysis, the benefits of LP are unlikely to outweigh the harm across a wide range of reasonable estimates of pre-test disease prevalence and given the limited diagnostic accuracy of the CSF analysis.
Brunell et al. noted that LP provided an alternative diagnosis in 3% of suspected SAH cases, but only altered subsequent management in 0.44% of individuals who had an LP.34 This equates to 227 LPs (1/0.0044) to identify one central nervous system infection requiring antibiotics in suspected SAH patients. In addition, using spectrophotometry, Brunell et al. noted five additional cases of SAH representing 1.1% of LPs and a Number Needed to LP (NNLP) of 91 (1/0.011) to identify one additional SAH. Of note, none of these additional cases of “SAH” were aneurysmal, and none underwent subsequent surgery; thus the NNLP approaches infinity for detecting SAH that might benefit from intervention. Perry et al. reported 17/1546 false negative CTs (with post-headache onset imaging delays ranging from eight hours to eight days) that were identified by LP obtained at the discretion of the attending emergency physician.20 However, only six of these individuals underwent neurosurgical intervention (ventricular drain, aneurysm coiling, or clipping), which equates to a NNLP = 258 (6/1546 = 0.38%, 1/0.0038 = 258) to identify one aneurysm amenable to neurosurgical intervention following a negative cranial CT. Sayer et al reported NNLP = 250 to identify one additional aneurysmal SAH.36 Blok et al identified one perimesencephalic bleed amongst 760 CT-negative patients with suspected aneurysmal SAH, which they extrapolated to NNLP = 15,200 to identify one additional aneurysmal SAH given that 1 in 20 perimesencephalic bleeds are ultimately linked to an aneurysm (760 × 20 = 15,200).35,106-108
Another approach to more definitively rule-out SAH after a non-diagnostic, non-contrast CT is to proceed to CT angiography (CTA) without an LP, an approach that 75% of patients favored in one survey109,110 and supporting a role for shared decision-making in evaluation of suspected SAH.111 Some physicians have even advocated for pre-discharge CTA after a non-diagnostic CT and LP. Carstairs et al examined CTA in addition to traditional non-contrast CT. Patients that were CT negative and LP negative underwent CTA to more definitively identify either SAH or cerebral aneurysm.17 After evaluating 103 CT-negative/LP-negative patients, they detected two cerebral aneurysms, which equates to a Number Needed to CTA (NNCTA) = 52 to detect one cerebral aneurysm that might or might not be the cause of the presenting headache (2/103 = 1.9%, 1/0.019 = 52). Contemplating the NNCTA is essential because CTA is neither completely safe, nor always clinically meaningful. CTA complication rates range from 0.25%-1.8%.112,113 Carstairs et al. interpreted the presence of cerebral aneurysm by CTA to be equivalent to being disease positive for SAH, despite being unable to establish whether the aneurysm was the etiology of the patient’s headache or an incidental finding.
Indeed, intracranial saccular or berry aneurysms are common, occurring in 1%-2% of the population.114 Linking a non-ruptured aneurysm detected via CTA to an individual patient’s headache is problematic. The discovery of an aneurysm in the context of headache is often considered to be a symptomatic aneurysm, and neurosurgical intervention may be advised depending on aneurysm size, location, and specific patient characteristics.115 However, the relative risk of rupture for cerebral aneurysms detected in symptomatic individuals is 8-fold higher than the rupture rate in asymptomatic individuals with incidentally noted cerebral aneurysms.116 Based upon one recent meta-analysis of 50 studies, the pooled sensitivity and specificity for CTA to detect aneurysms are 98% and 100%, respectively.44 MRA can also be utilized to detect intracranial aneurysm, with pooled sensitivity and specificity of 95% and 89% respectively. Although MRA is more time-consuming and generally less available from the ED, it may be useful in circumstances where radiation exposure is to be avoided or a patient has an iodine contrast dye allergy.45
Given the risks of over-investigation and incidental findings, it is important to scrutinize the testing thresholds for CT, LP and angiography. We found that only patients with a pre-CT likelihood of SAH well above 20% were likely to benefit from an LP after a negative unenhanced CT. Such pre-CT probabilities are exceptionally high and are far higher than the average diagnostic yield of around 5% for SAH on initial CT. The limited ability of any feature on history or physical examination to identify SAH also renders such high pre-CT probabilities unlikely, except for severe cases likely to have extensive bleeding visible on CT. Moreover, patients with only slightly higher pre-CT probabilities benefit more from angiography than LP, given the limitations of CSF analysis. Accordingly, this analysis suggests that LP after a negative CT to “rule out” SAH no longer seems rational for the large majority of patients.
The utilitarian approach to decision making test thresholds is considered by some too arbitrary or artificial, yet it is critically important to recognize how to apply these analyses at the bedside. The separation between the test positive and test negative curves are a visual representation of the diagnostic performance of the test, and thus illustrate the summary findings from this meta-analysis. The vertical location of the horizontal line that is used to calculate the test thresholds where it intersects each curve is determined by the ratio between benefits and risks of further treatment, and can easily be shifted up or down to visually estimate new thresholds on the graph. We used a 40:1 ratio of the benefits:risk of angiography, but allowed this to range from 20:1 to 80:1 in a sensitivity analysis and obtained similar findings. We extended this graphical approach to include the non-zero risks of testing, as illustrated by a narrowing of the range of pre-test probabilities for which the test is beneficial. We selected a test:treatment risk of 1:4 for CT and 1:2 for LP compared to angiography, but reduced the risk by half in another sensitivity analysis with again similar findings.
Yet the most compelling argument in support of this analysis is that the findings are strikingly similar to experienced clinicians’ own practice. Initial unenhanced CT is rational across a wide range of pre-test probabilities, as low as 1%. This 1 in 100 miss rate is consistent with surveys of emergency physicians and a threshold used in clinical decision rule construction for SAH and other serious conditions.38,104 On the other hand, after a negative CT, the low LR− coupled with a low pre-CT probability for SAH renders the post-CT probability so low that the only moderately accurate LP is rarely warranted. As such, the observed practice of forgoing LP after a negative CT, long considered to be a pitfall in the management of these patients, is easily justified on Bayesian grounds, as represented graphically on the test indication curves.
The test-indication curves also help clinicians avoid the common fallacy sometimes invoked to persuade headache patients that an LP is advisable. Many explain a “95% sensitivity” of CT by counseling the patient that “there is still a 1 in 20 (i.e. 100% - 95% = 5%) chance that you have a ruptured aneurysm”. This is only true if the patient were certain to have a SAH prior to the test being ordered (pre-test probability 100%). It is implausible that even the most skilled clinician can predict SAH prior to any testing in more than 1 in 5 awake and alert patients, the very patient in whom an informed consent discussion is needed prior to LP. Our meta-analysis confirms that there are few findings on history or physical exam with a sufficiently strong association with SAH, and clinical decision rules suffer from modest to poor specificity precisely because of this difficulty identifying disease positive patients prior to testing. Arguably, if one’s own diagnostic yield for SAH on initial CT approaches 20% in awake headache patients, one might expect one’s miss rate may be unacceptably high. Moreover, such high-risk patients benefit from proceeding directly to CTA especially if the unenhanced CT cannot be done within 6 hours of headache onset, also as indicated on the test threshold curves. On the other hand, using a more reasonable pre-CT probability of 1 in 10 (still higher than the 7% prevalence in prospective studies of emergency patients with headache), a test with 95% sensitivity and perfect specificity implies that the patient being counseled actually has only a 1 in 180 chance of a ruptured aneurysm (post-test odds = pre-test odds × LR− = 1:9 × 0.05).
A cost-effectiveness analysis comparing CT-only, CT/CTA, CT/LP, and CT/MRA as diagnostic modalities found that CT-only and CT/LP are the preferred strategies of diagnosing ED patients with suspected SAH.117 The CT/LP strategy was slightly more costly, but more effective due to the LP reducing the possibility of a missed diagnosis and subsequent harm. However, since the results of this meta-analysis indicate a much lower threshold for LP than used in the sensitivity analyses of the cost-effectiveness analysis, an updated cost-effectiveness analysis would likely shift the preference towards a CT-only strategy by decreasing the effectiveness of the CT/LP strategy. Further, this cost-effectiveness analysis did not consider crowding in the ED or physician and patient reluctance towards LP, which are practical barriers to the implementation of a CT/LP strategy.
Implications for Future Research
LP has long been considered to be the criterion standard for diagnosing SAH as it may detect small amounts of xanthochromia or blood in the CSF missed by CT. Due to the advancement of multislice CT, sensitivity to detect SAH has increased substantially. The primary clinical question for emergency physicians remains whether LP is indicated to rule out SAH if head CT is negative. Recent literature suggests within 6 hours of symptom onset sensitivity of CT approaches 100%. Additional studies in heterogeneous settings (rural, non-North American, community hospitals) are needed to confirm this diagnostic accuracy.
The significant inter-study heterogeneity observed in our meta-analysis indicates that more research is needed to quantify the diagnostic accuracy of history and physical exam, as well as visible or spectrophotometric assessment of xanthochromia for the diagnosis of SAH. Unfortunately, few SAH studies adhere to the Standards for Reporting of Diagnostic Accuracy (STARD) reporting guidelines.118 Failure to use reporting standards makes diagnostic studies more difficult for clinicians, researchers, and guideline developers to locate, interpret, and compare.119 This is reflected in the poor inter-rater reliability results observed in our QUADAS-2 assessments of blinding and appropriately reproducible conduct of the index tests. In addition, studies that do not use the STARD criteria are less likely to report key details necessary for clinicians to understand the risk of bias and expected skew of observed point estimates. Future diagnostic studies should adhere to the STARD reporting standards118 and history/physical exam studies should follow the STARD criteria recommended for such studies.120
Spectrophotometric assessment of xanthochromia should be standardized in terms of conduct and reporting.78 Most studies did not obtain an LP in all patients or report any standard follow-up protocol to capture false-negatives. Opening pressures were only obtained in 2% of suspected SAH cases34 and no studies evaluated the diagnostic accuracy of opening pressures. Future studies reporting the diagnostic accuracy of CT should uniformly report the resolution and timing of imaging, while incorporating post-ED follow-up at reasonable intervals including review of death registries for detection of false-negative results. In addition, the volume of CSF blood and rapidity of aneurysmal bleeding probably influence both CT and LP test accuracy, threatening test independence implicit in Bayesian analyses, and therefore merits assessment for interactions. Future diagnostic researchers should also evaluate test performance stratified by age since aneurysmal SAH are rare in young patients. Furthermore, the skew of observed sensitivities and specificities as a result of spectrum bias, partial verification bias, differential verification bias, and imperfect gold standard bias should be contemplated in future studies.51
A planned secondary outcome of this systematic review was to examine clinically significant SAH cases, defined as requiring neurosurgical intervention. The studies in this systematic review did not report adequately to be able to assess these outcomes. Specifically, perimesencephalic hemorrhage is traditionally considered to be “true positive” in SAH diagnostic research, but has a benign clinical course without specific interventions to alter the natural course of disease other than analgesic symptom control. However, perimesencephalic SAH can recur121 and some neurosurgeons recommend catheter angiography in suspected SAH patients with xanthochromia after a non-diagnostic CTA since a culprit aneurysm will be identified in 8.3% of these cases.122 In clinical practice SAH is deemed perimesencephalic if two catheter angiography studies 7-days apart demonstrate no cerebral aneurysm, since a single catheter angiogram and CTA can miss 4.2% of aneurysms.123 None of the diagnostic studies included in this meta-analysis reported uniform CT or catheter angiograms in all patients, let alone repeat catheter angiograms in those with initially “negative” or non-diagnostic advanced imaging. Future studies examining SAH should distinguish aneurysmal SAH from perimesencephalic hemorrhage to better examine SAH that merits surgical intervention.
Limitations
Identification of studies for this meta-analysis used only one individual with adjudication of uncertainty of inclusion/exclusion criteria by a second author, which could introduce a bias in study selection. In addition, we excluded non-English studies which could have limited the scope of our findings and yield biased summary estimates, although review of interventional meta-analyses do not suggest significant differences when non-English studies are excluded.124 Of the 22 studies that provided sufficient detail to be able to reconstruct 2×2 tables, there was significant heterogeneity in the manner in which data were collected and reported. For example, when examining sensitivity and specificity of non-contrast head CT, not all studies reported the specific technology utilized. When technology utilized was reported, it was done so in an inconsistent manner making it unclear which generation (how many slice) CT scanner was used. Variation in technology undoubtedly affects diagnostic test performance, and standardized reporting of the particular technology used should be encouraged in all future studies.118
Significant variation existed in mechanisms of follow-up for patients that were deemed SAH negative. Some studies did not conduct any follow-up, while others had structured telephone questionnaires, examined coroner records and public death certificates to ensure that patients deemed disease free did not later turn out to have SAH. Without follow-up for patients that were deemed SAH negative it is impossible to know that the patient truly did not have a small CT undetectable SAH or cerebral aneurysm when they were discharged from the ED. Finally, because some of the studies included patients who were unconscious or had neurological deficits, the observed estimates of sensitivity and specificity may be influenced by the spectrum of disease severity.53
There was also significant variation in definition of disease, particularly in the incorporation of CSF findings into the definition of being SAH positive. Definition of disease positive ranged from number of red blood cells in the final tube via LP to xanthochromia of CSF. Number of red blood cells was not standardized. Xanthochromia was defined by visual inspection in some studies, and spectrophotometry in others. Xanthochromia via spectrophotometry had substantial variation in the absorption spectrum used to define a positive LP. Other studies used spectrophotometry to detect bilirubin and oxyhemoglobin as indicating a patient with SAH.
Conclusions
This meta-analysis identified a 7.5% weighted prevalence of SAH in ED patients with concerning headache. Although the available high quality diagnostic evidence is limited, there is no single characteristic on history or physical examination that is adequate to rule in or rule out SAH in ED settings. Using a threshold of 1,000 × 106/L RBCs in the final tube of has a summary LR+ 5.7 and LR− 0.21. Within 6 hours of symptom onset, non-contrast cranial CT accurately both rules in and rules out SAH. Given the risks and benefits of further testing and the limited diagnostic accuracy of CSF erythrocyte counts and of various xanthochromia definitions, LP is likely to benefit only patients within a narrow band of pre-LP probabilities, around 2% to 7%. Given the accuracy of CT, even several hours after headache onset, such pre-LP probabilities correspond to pre-CT probabilities of 20% or higher. While many still consider CT followed by LP to be the gold standard for the diagnosis of SAH, few studies use this gold standard given practice patterns evolving away from routine LP. The role of LP may well wane further with improving multi-slice CT and increasing evidence to refute the utility of LP. Validation of SAH clinical decision rules offers the opportunity to more accurately risk-stratify ED headache patients in order to identify subsets most likely to benefit from post-CT LP, CTA, or no further testing.
Supplementary Material
Footnotes
Portions of this manuscript were presented at the American College of Emergency Physicians annual meeting in October 2013 in Seattle, Washington.
Contributor Information
Christopher R. Carpenter, Washington University in St. Louis School of Medicine.
Adnan M. Hussain, Department of Emergency Medicine, Northwestern University Feinberg School of Medicine.
Michael J. Ward, Vanderbilt University.
Gregory J. Zipfel, Washington University in St. Louis.
Susan Fowler, Becker Medical Library, Washington University School of Medicine in St. Louis.
Jesse M. Pines, George Washington University.
Marco L.A. Sivilotti, Queen’s University.
References
- 1.Edlow JA, Panagos PD, Godwin SA, Thomas TL, Decker WW, American College of Emergency P Clinical policy: critical issues in the evaluation and management of adult patients presenting to the emergency department with acute headache. Ann Emerg Med. 2008 Oct;52(4):407–436. doi: 10.1016/j.annemergmed.2008.07.001. [DOI] [PubMed] [Google Scholar]
- 2.Landtblom AM, Fridriksson S, Boivie J, Hillman J, Johansson G, Johansson I. Sudden onset headache: a prospective study of features, incidence and causes. Cephalagia. 2002 Jun;22(5):354–360. doi: 10.1046/j.1468-2982.2002.00368.x. [DOI] [PubMed] [Google Scholar]
- 3.Delasobera BE, Osborn SR, Davis JE. Thunderclap headache with orgasm: a case of basilar artery dissection associated with sexual intercourse. J Emerg Med. 2012 Jul;43(1):e43–e47. doi: 10.1016/j.jemermed.2009.08.012. [DOI] [PubMed] [Google Scholar]
- 4.Imperato J, Burstein J, Edlow JA. Benign exertional headache. Ann Emerg Med. 2003 Jan;41(1):98–103. doi: 10.1067/mem.2003.21. [DOI] [PubMed] [Google Scholar]
- 5.Dodick DW, Wijdicks EF. Pituitary apoplexy presenting as a thunderclap headache. Neurology. 1998 May;50(5):1510–1511. doi: 10.1212/wnl.50.5.1510. [DOI] [PubMed] [Google Scholar]
- 6.de Bruijn SF, Stam J, Kappelle LJ. Thunderclap headache as first symptom of cerebral venous sinus thrombosis. CVST Study Group. Lancet. 1996 Dec;348(9042):1623–1625. doi: 10.1016/s0140-6736(96)07294-7. [DOI] [PubMed] [Google Scholar]
- 7.Pascual J, Iglesias F, Oterino A, Vasquez-Barquero A, Berciano J. Cough, exertional, and sexual headaches: an analysis of 72 benign and symptomatic cases. Neurology. 1996 Jun;46(6):1520–1524. doi: 10.1212/wnl.46.6.1520. [DOI] [PubMed] [Google Scholar]
- 8.Cordenier A, De Hertogh W, De Keyser J, Versijpt J. Headache associated with cough: a review. J Headache Pain. 2013 May;14:42. doi: 10.1186/1129-2377-14-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dodick DW, Brown RD, Jr., Britton JW, Huston J., 3rd Nonaneurysmal thunderclap headache with diffuse, multifocal, segmental, and reversible vasospasm. Cephalagia. 1999 Mar;19(2):118–123. doi: 10.1046/j.1468-2982.1999.019002118.x. [DOI] [PubMed] [Google Scholar]
- 10.Day JW, Raskin NH. Thunderclap headache: symptom of unruptured cerebral aneurysm. Lancet. 1986 Nov;2(8518):1247–1248. [PubMed] [Google Scholar]
- 11.Edlow JA. Diagnosis of subarachnoid hemorrhage in the emergency department. Emerg Med Clin North Am. 2003 Feb;21(1):73–87. doi: 10.1016/s0733-8627(02)00081-0. [DOI] [PubMed] [Google Scholar]
- 12.Canneti B, Mosqueira AJ, Nombela F, Gilo F, Vivancos J. Spontaneous Subarachnoid Hemorrhage with Negative Angiography Managed in a Stroke Unit: Clinical and Prognostic Characteristics. J Stroke Cerebrovasc Dis. 2015 Nov;24(11):2484–2490. doi: 10.1016/j.jstrokecerebrovasdis.2015.06.011. [DOI] [PubMed] [Google Scholar]
- 13.Elhadi AM, Zabramski JM, Almefty KK, et al. Spontaneous subarachnoid hemorrhage of unknown origin: hospital course and long-term clinical and angiographic follow-up. J Neurosurg. 2015 Mar;122(3):663–670. doi: 10.3171/2014.10.JNS14175. [DOI] [PubMed] [Google Scholar]
- 14.Wang QT, Tuhrim S. Etiologies of intracerebral hematomas. Curr Atherscler Rep. 2012 Aug;14(4):314–321. doi: 10.1007/s11883-012-0253-0. [DOI] [PubMed] [Google Scholar]
- 15.Hop JW, Rinkel GJ, Algra A, van Gijn J. Case-fatality rates and functional outcome after subarachnoid hemorrhage: a systematic review. Stroke. 1997 Mar;28(3):660–664. doi: 10.1161/01.str.28.3.660. [DOI] [PubMed] [Google Scholar]
- 16.Nieuwkamp DJ, Setz LE, Algra A, Linn FH, de Rooij NK, Rinkel GJ. Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis. Lancet Neurol. 2009 Jul;8(7):635–642. doi: 10.1016/S1474-4422(09)70126-7. [DOI] [PubMed] [Google Scholar]
- 17.Carstairs SD, Tanen DA, Duncan TD, et al. Computed tomographic angiography for the evaluation of aneurysmal subarachnoid hemorrhage. Acad Emerg Med. 2006 May;13(5):486–492. doi: 10.1197/j.aem.2005.12.010. [DOI] [PubMed] [Google Scholar]
- 18.Powell J, Kitchen N, Heslin J, Greenwood R. Psychosocial outcomes at 18 months after good neurological recovery from aneurysmal subarachnoid haemorrhage. J Neurol Neurosurg Psychiatry. 2004 Aug;75(8):1119–1124. doi: 10.1136/jnnp.2002.000414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hillman J, Saveland H, Jakobsson KE, et al. Overall management outcome of ruptured posterior fossa aneurysms. J Neurosurg. 1996 Jul;85(1):33–38. doi: 10.3171/jns.1996.85.1.0033. [DOI] [PubMed] [Google Scholar]
- 20.Perry JJ, Stiell IG, Sivilotti ML, et al. Sensitivity of computed tomography performed within six hours of onset of headache for diagnosis of subarachnoid haemorrhage: prospective cohort study. Bmj. 2011;343:d4277. doi: 10.1136/bmj.d4277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Edlow JA, Caplan LR. Avoiding pitfalls in the diagnosis of subarachnoid hemorrhage. N Engl J Med. 2000 Jan 6;342(1):29–36. doi: 10.1056/NEJM200001063420106. [DOI] [PubMed] [Google Scholar]
- 22.Leblanc R. The minor leak preceding subarachnoid hemorrhage. J Neurosurg. 1987 Jan;66(1):35–39. doi: 10.3171/jns.1987.66.1.0035. [DOI] [PubMed] [Google Scholar]
- 23.Johansson A, Lagerstedt K, Asplund K. Mishaps in the management of stroke: a review of 214 complaints to a medical responsibility board. Cerebrovasc Dis. 2004;18(1):16–21. doi: 10.1159/000078603. [DOI] [PubMed] [Google Scholar]
- 24.Duffy GP. The "warning leak" in spontaneous subarachnoid haemorrhage. Med J Aust. 1983 May 28;1(11):514–516. doi: 10.5694/j.1326-5377.1983.tb136193.x. [DOI] [PubMed] [Google Scholar]
- 25.Verweij RD, Wijdicks EF, van Gijn J. Warning headache in aneurysmal subarachnoid hemorrhage. A case-control study. Arch Neurol. 1988 Sep;45(9):1019–1020. doi: 10.1001/archneur.1988.00520330109018. [DOI] [PubMed] [Google Scholar]
- 26.Vermeulen MJ, Schull MJ. Missed diagnosis of subarachnoid hemorrhage in the emergency department. Stroke. 2007 Apr;38(4):1216–1221. doi: 10.1161/01.STR.0000259661.05525.9a. [DOI] [PubMed] [Google Scholar]
- 27.Robbert M, Hoogmoed J, van Straaten HA, Coert BA, Peter-Vandertop W, Verbaan D. Time intervals from aneurysmal subarachnoid hemorrhage to treatment and factors contributing to delay. J Neurol. 2014 Mara;261(3):473–479. doi: 10.1007/s00415-013-7218-2. [DOI] [PubMed] [Google Scholar]
- 28.Kwiatkowski T, Alagappan K. Headache. In: Marx JA, Hockberger RS, Walls RM, et al., editors. Rosen's Emergency Medicine: Concepts and Clinical Practice. 2nd ed Mosby-Elsevier; 2010. pp. 1356–1366. [Google Scholar]
- 29.Hackman JL, Johnson MD, Ma OJ. Spontaneous subarachnoid and intracerebral hemorrhage. In: Tintinalli JE, Stapczynski JS, Ma OJ, Cline DM, Cydulka RK, Meckler GD, editors. Tintinalli's Emergency Medicine: A Comprehensive Study Guide. 7th ed McGraw-Hill; New York City, NY: 2011. pp. 1118–1122. [Google Scholar]
- 30.Carpenter CR, Raja AS, Brown MD. Overtesting and the Downstream Consequences of Overtreatment: Implications of “Preventing Overdiagnosis” for Emergency Medicine. Acad Emerg Med. 2015 Dec;22(12):1484–1492. doi: 10.1111/acem.12820. [DOI] [PubMed] [Google Scholar]
- 31.Seupaul RA, Somerville GG, Viscusi C, Shepard AJ, Hauter WE. Prevalence of postdural puncture headache after ED performed lumbar puncture. Am J Emerg Med. 2005 Nov;23(7):913–915. doi: 10.1016/j.ajem.2005.06.003. [DOI] [PubMed] [Google Scholar]
- 32.Straus SE, Thorpe KE, Holroyd-Leduc J. How do I perform a lumbar puncture and analyze the results to diagnose bacterial meningitis? Jama. 2006 Oct 25;296(16):2012–2022. doi: 10.1001/jama.296.16.2012. [DOI] [PubMed] [Google Scholar]
- 33.Czuczman AD, Thomas LE, Boulanger AB, et al. Interpreting red blood cells in lumbar puncture: distinguishing true subarachnoid hemorrhage from traumatic tap. Acad Emerg Med. 2013 Mar;20(3):247–256. doi: 10.1111/acem.12095. [DOI] [PubMed] [Google Scholar]
- 34.Brunell A, Ridefelt P, Zelano J. Differential diagnostic yield of lumbar puncture in investigation of suspected subarachnoid haemorrhage: a retrospective study. J Neurol. 2013 Jun;260(6):1631–1636. doi: 10.1007/s00415-013-6846-x. [DOI] [PubMed] [Google Scholar]
- 35.Blok KM, Rinkel GJ, Majoie CB, et al. CT within 6 hours of headache onset to rule out subarachnoid hemorrhage in nonacademic hospitals. Neurology. 2015 May;84(19):1927–1932. doi: 10.1212/WNL.0000000000001562. [DOI] [PubMed] [Google Scholar]
- 36.Sayer D, Bloom B, Fernando K, et al. An Observational Study of 2,248 Patients Presenting With Headache, Suggestive of Subarachnoid Hemorrhage, Who Received Lumbar Punctures Following Normal Computed Tomography of the Head. Acad Emerg Med. 2015 Nov;22(11):1267–1273. doi: 10.1111/acem.12811. [DOI] [PubMed] [Google Scholar]
- 37.Euerle BD. Spinal Puncture and Cerebral Spinal Fluid Examination. In: Roberts JR, Hedges JR, Custalow CB, Chanmugam AS, Chudnofsky CR, MCManus J, editors. Clinical Procedures in Emergency Medicine. 5th ed Saunders-Elsevier; Philadelphia, PA: 2010. pp. 1107–1127. [Google Scholar]
- 38.Perry JJ, Stiell IG, Sivilotti ML, et al. High risk clinical characteristics for subarachnoid haemorrhage in patients with acute headache: prospective cohort study. BMJ. 2010 Oct;341:c5204. doi: 10.1136/bmj.c5204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Perry JJ, Stiell IG, Sivilotti ML, et al. Clinical decision rules to rule out subarachnoid hemorrhage for acute headache. JAMA. 2013 Sep 25;310(12):1248–1255. doi: 10.1001/jama.2013.278018. [DOI] [PubMed] [Google Scholar]
- 40.Shah KH, Richard KM, Nicholas S, Edlow JA. Incidence of traumatic lumbar puncture. Acad Emerg Med. 2003 Feb;10(2):151–154. doi: 10.1111/j.1553-2712.2003.tb00033.x. [DOI] [PubMed] [Google Scholar]
- 41.Roost KT, Pimstone NR, Diamond I, Schmid R. The formation of cerebrospinal fluid xanthochromia after subarachnoid hemorrhage. Enzymatic conversion of hemoglobin to bilirubin by the arachnoid and choroid plexus. Neurology. 1972 Sep;22(9):973–977. doi: 10.1212/wnl.22.9.973. [DOI] [PubMed] [Google Scholar]
- 42.Edlow JA, Bruner KS, Horowitz GL. Xanthochromia. Arch Pathol Lab Med. 2002 Apr;126(4):413–415. doi: 10.5858/2002-126-0413-X. [DOI] [PubMed] [Google Scholar]
- 43.Chu K, Hann A, Greenslade J, Williams J, Brown A. Spectrophotometry or Visual Inspection to Most Reliably Detect Xanthochromia in Subarachnoid Hemorrhage: Systematic Review. Ann Emerg Med. 2014 Sep;64(3):256–264. e255. doi: 10.1016/j.annemergmed.2014.01.023. [DOI] [PubMed] [Google Scholar]
- 44.Westerlaan HE, van Dijk JM, Jansen-van der Weide MC, et al. Intracranial aneurysms in patients with subarachnoid hemorrhage: CT angiography as a primary examination tool for diagnosis--systematic review and meta-analysis. Radiology. 2011 Jan;258(1):134–145. doi: 10.1148/radiol.10092373. [DOI] [PubMed] [Google Scholar]
- 45.Sailer AM, Wagemans BA, Nelemans PJ, de Graaf R, van Zwam WH. Diagnosing intracranial aneurysms with MR angiography: systematic review and meta-analysis. Stroke. 2014 Jan;45(1):119–126. doi: 10.1161/STROKEAHA.113.003133. [DOI] [PubMed] [Google Scholar]
- 46.Pauker SG, Kassirer JP. Therapeutic decision making: a cost-benefit analysis. N Engl J Med. 1975 Jul;293(5):229–234. doi: 10.1056/NEJM197507312930505. [DOI] [PubMed] [Google Scholar]
- 47.Pauker SG, Kassirer JP. The threshold approach to clinical decision making. N Engl J Med. 1980 May 15;302(20):1109–1117. doi: 10.1056/NEJM198005153022003. [DOI] [PubMed] [Google Scholar]
- 48.Bernstein J. Test-indication curves. Med Decis Making. 1997 Jan-Mar;17(1):103–106. doi: 10.1177/0272989X9701700112. [DOI] [PubMed] [Google Scholar]
- 49.Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. Bmj. 2009;339:b2700. doi: 10.1136/bmj.b2700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. Jama. 2000 Apr 19;283(15):2008–2012. doi: 10.1001/jama.283.15.2008. [DOI] [PubMed] [Google Scholar]
- 51.Kohn MA, Carpenter CR, T.B. N. Understanding the direction of bias in studies of diagnostic test accuracy. Acad Emerg Med. 2013 Nov;20(11):1194–1206. doi: 10.1111/acem.12255. [DOI] [PubMed] [Google Scholar]
- 52.Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011 Oct 18;155(8):529–536. doi: 10.7326/0003-4819-155-8-201110180-00009. [DOI] [PubMed] [Google Scholar]
- 53.Mulherin SA, Miller WC. Spectrum bias or spectrum effect? Subgroup variation in diagnostic test evaluation. Ann Intern Med. 2002 Oct;137(7):598–602. doi: 10.7326/0003-4819-137-7-200210010-00011. [DOI] [PubMed] [Google Scholar]
- 54.Tsementzis SA, Hitchcock ER, DeCothi A, Gill JS. Comparative studies of the diagnostic value of cerebrospinal fluid spectrophotometry and computed tomographic scanning in subarachnoid hemorrhage. Neurosurgery. 1985 Dec;17(6):908–912. doi: 10.1227/00006123-198512000-00007. [DOI] [PubMed] [Google Scholar]
- 55.Kanzaria HK, McCabe AM, Meisel ZM, et al. Advancing Patient-centered Outcomes in Emergency Diagnostic Imaging: A Research Agenda. Acad Emerg Med. 2015 Dec;22(12):1435–1446. doi: 10.1111/acem.12832. [DOI] [PubMed] [Google Scholar]
- 56.Byrt T, Bishop J, Carlin JB. Bias, prevalence and kappa. J Clin Epidemiol. 1993 May;46(5):423–429. doi: 10.1016/0895-4356(93)90018-v. [DOI] [PubMed] [Google Scholar]
- 57.Macaskill PGC, Deeks JJ, Harbord RM, Y T. Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. Version 0.9.0 The Cochrane Collaboration; 2010. [Google Scholar]
- 58.Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Med Res Methodol. 2006;6:31. doi: 10.1186/1471-2288-6-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986 Sep;7(3):177–188. doi: 10.1016/0197-2456(86)90046-2. [DOI] [PubMed] [Google Scholar]
- 60.DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials. 2007 Feb;28(2):105–114. doi: 10.1016/j.cct.2006.04.004. [DOI] [PubMed] [Google Scholar]
- 61.Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol. 2005 Sep;58(9):882–893. doi: 10.1016/j.jclinepi.2005.01.016. [DOI] [PubMed] [Google Scholar]
- 62.Grimes DA, Schulz KF. Refining clinical diagnosis with likelihood ratios. Lancet. 2005 Apr;365(9469):1500–1505. doi: 10.1016/S0140-6736(05)66422-7. [DOI] [PubMed] [Google Scholar]
- 63.Gallagher EJ. Clinical utility of likelihood ratios. Ann Emerg Med. 1998 Mar;31(3):391–397. doi: 10.1016/s0196-0644(98)70352-x. [DOI] [PubMed] [Google Scholar]
- 64.Hayden SR, Brown MD. Likelihood ratio: A powerful tool for incorporating the results of a diagnostic test into clinical decisionmaking. Ann Emerg Med. 1999 May;33(5):575–580. doi: 10.1016/s0196-0644(99)70346-x. [DOI] [PubMed] [Google Scholar]
- 65.Glasziou P. Threshold analysis via the Bayes' nomogram. Med Decis Making. 1991;11(1):61–62. doi: 10.1177/0272989X9101100111. [DOI] [PubMed] [Google Scholar]
- 66.Byrt T. How good is that agreement? Epidemiology. 1996;7(5):561. doi: 10.1097/00001648-199609000-00030. [DOI] [PubMed] [Google Scholar]
- 67.Perry JJ, Sivilotti ML, Stiell IG, et al. Should spectrophotometry be used to identify xanthochromia in the cerebrospinal fluid of alert patients suspected of having subarachnoid hemorrhage? Stroke. 2006 Oct;37(10):2467–2472. doi: 10.1161/01.STR.0000240689.15109.47. [DOI] [PubMed] [Google Scholar]
- 68.Gangloff A, Nadeau L, Perry JJ, Baril P, Emond M. Ruptured aneurysmal subarachnoid hemorrhage in the emergency department: Clinical outcome of patients having a lumbar puncture for red blood cell count, visual and spectrophotometric xanthochromia after a negative computed tomography. Clin Biochem. 2015 Jul;48(10-11):634–639. doi: 10.1016/j.clinbiochem.2015.03.011. [DOI] [PubMed] [Google Scholar]
- 69.Linn FH, Rinkel GJ, Algra A, van Gijn J. Headache characteristics in subarachnoid haemorrhage and benign thunderclap headache. J Neurol Neurosurg Psychiatry. 1998 Nov;65(5):791–793. doi: 10.1136/jnnp.65.5.791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Morgenstern LB, Luna-Gonzales H, Huber JC, et al. Worst headache and subarachnoid hemorrhage: prospective, modern computed tomography and spinal fluid analysis. Ann Emerg Med. 1998 Sep;32(3 Pt 1):297–304. [PubMed] [Google Scholar]
- 71.Bø SH, Davidsen EM, Gulbrandsen P, Dietrichs E. Acute headache: a prospective diagnostic work-up of patients admitted to a general hospital. Eur J Neurol. 2008 Dec;15(12):1293–1299. doi: 10.1111/j.1468-1331.2008.02279.x. [DOI] [PubMed] [Google Scholar]
- 72.van der Wee N, Rinkel GJ, Hasan D, van Gijn J. Detection of subarachnoid haemorrhage on early CT: is lumbar puncture still needed after a negative scan? J Neurol Neurosurg Psychiatry. 1995 Mar;58(3):357–359. doi: 10.1136/jnnp.58.3.357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Boesiger BM, Shiber JR. Subarachnoid hemorrhage diagnosis by computed tomography and lumbar puncture: are fifth generation CT scanners better at identifying subarachnoid hemorrhage? J Emerg Med. 2005 Jul;29(1):23–27. doi: 10.1016/j.jemermed.2005.02.002. [DOI] [PubMed] [Google Scholar]
- 74.O'Neill J, McLaggan S, Gibson R. Acute headache and subarachnoid haemorrhage: a retrospective review of CT and lumbar puncture findings. Scott Med J. 2005 Nov;50(4):151–153. doi: 10.1177/003693300505000405. [DOI] [PubMed] [Google Scholar]
- 75.Backes D, Rinkel GJ, Kemperman H, Linn FH, Vergouwen MD. Time-dependent test characteristics of head computed tomography in patients suspected of nontraumatic subarachnoid hemorrhage. Stroke. 2012 Aug;43(8):2115–2119. doi: 10.1161/STROKEAHA.112.658880. [DOI] [PubMed] [Google Scholar]
- 76.Dupont SA, Wijdicks EF, Manno EM, Rabinstein AA. Thunderclap headache and normal computed tomographic results: value of cerebrospinal fluid analysis. Mayo Clinic Proc. 2008 Dec;83(12):1326–1331. doi: 10.1016/S0025-6196(11)60780-5. [DOI] [PubMed] [Google Scholar]
- 77.Hann A, Chu K, Greenslade J, Williams J, Brown A. Benefit of cerebrospinal fluid spectrophotometry in the assessment of CT scan negative suspected subarachnoid haemorrhage: a diagnostic accuracy study. J Clin Neurosci. 2015 Jan;22(1):173–179. doi: 10.1016/j.jocn.2014.07.025. [DOI] [PubMed] [Google Scholar]
- 78.Cruickshank A, Auld P, Beetham R, et al. Revised national guidelines for analysis of cerebrospinal fluid for bilirubin in suspected subarachnoid haemorrhage. Ann Clin Biochem. 2008 May;45(Pt3):238–244. doi: 10.1258/acb.2008.007257. [DOI] [PubMed] [Google Scholar]
- 79.Perry JJ, Alyahya B, Sivilotti ML, et al. Differentiation between traumatic tap and aneurysmal subarachnoid hemorrhage: prospective cohort study. BMJ. 2015 Feb;350:h568. doi: 10.1136/bmj.h568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Brown MD, Reeves MJ. Evidence-based emergency medicine skills for evidence-based emergency care. Interval likelihood ratios: another advantage for the evidence-based diagnostician. Ann Emerg Med. 2003 Aug;42(2):292–297. doi: 10.1067/mem.2003.274. [DOI] [PubMed] [Google Scholar]
- 81.Hall EJ, Brenner DJ. Cancer risks from diagnostic radiology. Br J Radiol. 2008 May;81(965):362–378. doi: 10.1259/bjr/01948454. [DOI] [PubMed] [Google Scholar]
- 82.Schievink WI. Intracranial aneurysms. N Engl J Med. 1997 Jan 2;336(1):28–40. doi: 10.1056/NEJM199701023360106. [DOI] [PubMed] [Google Scholar]
- 83.Burrows AM, Korumilli R, Lanzino G. How we do it: acute management of subarachnoid hemorrhage. Neurol Res. 2013 Mar;35(2):111–116. doi: 10.1179/1743132812Y.0000000124. [DOI] [PubMed] [Google Scholar]
- 84.McDougall CG, Spetzler RF, Zabramski JM, et al. The Barrow Ruptured Aneurysm Trial. J Neurosurg. 2012 Jan;116(1):135–144. doi: 10.3171/2011.8.JNS101767. [DOI] [PubMed] [Google Scholar]
- 85.Spetzler RF, McDougall CG, Albuquerque FC, et al. The Barrow Ruptured Aneurysm Trial: 3-year results. J Neurosurg. 2013 Jul;119(1):146–157. doi: 10.3171/2013.3.JNS12683. [DOI] [PubMed] [Google Scholar]
- 86.Molyneux AJ, Kerr RS, Yu LM, et al. International subarachnoid aneurysm trial (ISAT) of neurosurgical clipping versus endovascular coiling in 2143 patients with ruptured intracranial aneurysms: a randomised comparison of effects on survival, dependency, seizures, rebleeding, subgroups, and aneurysm occlusion. Lancet. 2005 Sep;366(9488):809–817. doi: 10.1016/S0140-6736(05)67214-5. [DOI] [PubMed] [Google Scholar]
- 87.McNeill A. Neurological negligence claims in the NHS from 1995 to 2005. Eur J Neurol. 2007 Apr;14(4):399–402. doi: 10.1111/j.1468-1331.2007.01677.x. [DOI] [PubMed] [Google Scholar]
- 88. [Accessed October 16, 2015];Choosing Wisely: American College of Emergency Physicians. 2014 http://www.choosingwisely.org/societies/american-college-of-emergency-physicians/
- 89.Mark DG, Hung YY, Offerman SR, et al. Nontraumatic subarachnoid hemorrhage in the setting of negative cranial computed tomography results: external validation of a clinical and imaging prediction rule. Ann Emerg Med. 2013 Jul;62(1):1–10. doi: 10.1016/j.annemergmed.2012.09.003. [DOI] [PubMed] [Google Scholar]
- 90.Mark DG, Kene MV, Udaltsova N, Vinson DR, Ballard DW. Sensitivity of a Clinical Decision Rule and Early Computed Tomography in Aneurysmal Subarachnoid Hemorrhage. Western J Emerg Med. 2015 Sep;16(5):671–676. doi: 10.5811/westjem.2015.7.25894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Hunter BR, Carpenter CR. The development of clinical prediction rules. In: Wilson MP, Guluma KZ, Hayden SR, editors. Doing Research in Emergency & Acute Care: Making Order Out of Chaos. Wiley-Blackwell; Oxford, UK: 2015. pp. 139–147. [Google Scholar]
- 92.Perry JJ, Sivilotti ML, Stiell IG. Pragmatic interpretation of the study of nontraumatic subarachnoid hemorrhage in the setting of negative cranial computed tomography results: external validation of a clinical and imaging prediction rule. Ann Emerg Med. 2013 Oct;62(4):435–436. doi: 10.1016/j.annemergmed.2013.04.021. [DOI] [PubMed] [Google Scholar]
- 93.Perry JJ, Marcantonio A, Sivilotti MLA. Prospective Validation of the Ottawa SAH Clinical Decision Rule to Exclude Subarachnoid Hemorrhage in Patients with Acute Headache. NEJM. 2016 (in peer review) [Google Scholar]
- 94.Coats TJ, Loffhagen R. Diagnosis of subarachnoid haemorrhage following a negative computed tomography for acute headache: a Bayesian analysis. Eur J Emerg Med. 2006 Apr;13(2):80–83. doi: 10.1097/01.mej.0000190277.92731.52. [DOI] [PubMed] [Google Scholar]
- 95.Coats TJ. Subarachnoid haemorrhage: lumbar puncture for every negative scan? BMJ. 2006 Aug;333(7564):396–397. doi: 10.1136/bmj.333.7564.396-b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Gee C, Dawson M, Bledsoe J, et al. Sensitivity of newer-generation computed tomography scanners for subarachnoid hemorrhage: a Bayesian analysis. J Emerg Med. 2012;43(1):13–18. doi: 10.1016/j.jemermed.2011.09.012. [DOI] [PubMed] [Google Scholar]
- 97.Malabarey MA, Barbic D. Can the combination of a negative computed tomography result and a negative lumbar puncture safely exclude the diagnosis of subarachnoid hemorrhage in patients with thunderclap headache? CJEM. 2013;15(2):113–115. doi: 10.2310/8000.2012.120850. [DOI] [PubMed] [Google Scholar]
- 98.Farzad A, Radin B, Oh JS, et al. Emergency diagnosis of subarachnoid hemorrhage: an evidence-based debate. J Emerg Med. 2013 May;44(5):1045–1053. doi: 10.1016/j.jemermed.2012.10.001. [DOI] [PubMed] [Google Scholar]
- 99.Kuntz KM, Kokmen E, Stevens JC, Miller P, Offord KP, Ho MM. Post-lumbar puncture headaches: experience in 501 consecutive procedures. Neurology. 1992 Oct;42(10):1884–1887. doi: 10.1212/wnl.42.10.1884. [DOI] [PubMed] [Google Scholar]
- 100.Abouleish E, Vega S, Blendinger I, Tio TO. Long-term follow-up of epidural blood patch. Anesth Analg. 1975 Jul-Aug;54(4):459–463. doi: 10.1213/00000539-197554040-00012. [DOI] [PubMed] [Google Scholar]
- 101.Evans RW. Complications of lumbar puncture. Neurol Clin. 1998 Feb;16(1):83–105. doi: 10.1016/s0733-8619(05)70368-6. [DOI] [PubMed] [Google Scholar]
- 102.Muhammed O, Teubner D, Jones DN, Slavotinek JP. Retrospective audit of the investigation of patients with suspected acute subarachnoid haemorrhage. J Med Imaging Radiat Oncol. 2010 Aug;54(4):339–346. doi: 10.1111/j.1754-9485.2010.02180.x. [DOI] [PubMed] [Google Scholar]
- 103.Mehrotra P, Sookhoo S, Kolla S, Halbert H, Lavell K, England S. Investigation of subarachnoid haemorrhage: does the buck stop with CT? J Med Life. 2010 Jul-Sep;3(3):338–342. [PMC free article] [PubMed] [Google Scholar]
- 104.Perry JJ, Stiell IG, Wells GA, et al. Attitudes and judgment of emergency physicians in the management of patients with acute headache. Acad Emerg Med. 2005 Jan;12(1):33–37. doi: 10.1197/j.aem.2004.11.007. [DOI] [PubMed] [Google Scholar]
- 105.Perry JJ, Stiell IG, Wells GA, Spacek A. Diagnostic test utilization in the emergency department for alert headache patients with possible subarachnoid hemorrhage. CJEM. 2002 Sep;4(5):333–337. doi: 10.1017/s1481803500007739. [DOI] [PubMed] [Google Scholar]
- 106.Rinkel GJ, Wijdicks EF, vermeulen MJ, et al. Nonaneurysmal perimesencephalic subarachnoid hemorrhage: CT and MR patterns that differ from aneurysmal rupture. AJNR Am J Neuroradiol. 1991 Sep-Oct;12(5):829–834. [PMC free article] [PubMed] [Google Scholar]
- 107.Topcuoglu MA, Oqilvy CS, B.S. C, Buonanno FS, Koroshetz WJ, Singhal AB. Subarachnoid hemorrhage without evident cause on initial angiography studies: diagnostic yield of subsequent angiography and other neuroimaging tests. J Neurosurg. 2003 Jun;98(6):1235–1240. doi: 10.3171/jns.2003.98.6.1235. [DOI] [PubMed] [Google Scholar]
- 108.Kalra VB, Wu X, Matouk CC, Malhotra A. Use of follow-up imaging in isolated perimesencephalic subarachnoid hemorrhage: a meta-analysis. Stroke. 2015 Feb;46(2):401–406. doi: 10.1161/STROKEAHA.114.007370. [DOI] [PubMed] [Google Scholar]
- 109.Youssef NA, Gordon AJ, Moon TH, et al. Emergency department patient knowledge, opinions, and risk tolerance regarding computed tomography scan radiation. J Emerg Med. 2014 Feb;46(2):208–214. doi: 10.1016/j.jemermed.2013.07.016. [DOI] [PubMed] [Google Scholar]
- 110.McCormack RF, Hutson A. Can computed tomography angiography of the brain replace lumbar puncture in the evaluation of acute-onset headache after a negative noncontrast cranial computed tomography scan? Acad Emerg Med. 2010 Apr;17(4):444–451. doi: 10.1111/j.1553-2712.2010.00694.x. [DOI] [PubMed] [Google Scholar]
- 111.Hess EP, Grudzen CR, Thomson R, Raja AS, Carpenter CR. Shared Decision-making in the Emergency Department: Respecting Patient Autonomy When Seconds Count. Acad Emerg Med. 2015 Jul;22(7):856–864. doi: 10.1111/acem.12703. [DOI] [PubMed] [Google Scholar]
- 112.Linn FH, Wijdicks EF, vander Graaf Y, Weerdesteyn-van Vliet FA, Bartelds AI, van Gijn J. Prospective study of sentinel headache in aneurysmal subarachnoid haemorrhage. Lancet. 1994 Aug;344(8922):590–593. doi: 10.1016/s0140-6736(94)91970-4. [DOI] [PubMed] [Google Scholar]
- 113.Cloft HJ, Joseph GJ, Dion JE. Risk of cerebral angiography in patients with subarachnoid hemorrhage, cerebral aneurysm, and arteriovenous malformation: a meta-analysis. Stroke. 1999 Feb;30(2):317–320. doi: 10.1161/01.str.30.2.317. [DOI] [PubMed] [Google Scholar]
- 114.Brown RD, Jr., Broderick JP. Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening. Lancet Neurol. 2014 Apr;13(4):393–404. doi: 10.1016/S1474-4422(14)70015-8. [DOI] [PubMed] [Google Scholar]
- 115.Brennan JW, Schwartz ML. Unruptured intracranial aneurysms: appraisal of the literature and suggested recommendations for surgery, using evidence-based medicine criteria. Neurosurgery. 2000 Dec;47(6):1359–1371. discussion 1371-1352. [PubMed] [Google Scholar]
- 116.Rinkel GJ, Djibuti M, Algra A, van Gijn J. Prevalence and risk of rupture of intracranial aneurysms: a systematic review. Stroke. 1998 Jan;29(1):251–256. doi: 10.1161/01.str.29.1.251. [DOI] [PubMed] [Google Scholar]
- 117.Ward MJ, Bonomo JB, Adeoye O, Raja AS, Pines JM. Cost-effectiveness of diagnostic strategies for evaluation of suspected subarachnoid hemorrhage in the emergency department. Acad Emerg Med. 2012 Oct;19(10):1134–1144. doi: 10.1111/j.1553-2712.2012.01455.x. [DOI] [PubMed] [Google Scholar]
- 118.Bossuyt PM, Reitsma JB, Bruns DE, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med. 2003 Jan;138(1):W1–W12. doi: 10.7326/0003-4819-138-1-200301070-00012-w1. [DOI] [PubMed] [Google Scholar]
- 119.Smidt N, Rutjes AW, van der Windt DA, et al. The quality of diagnostic accuracy studies since the STARD statement: has it improved? Neurology. 2006 Sep;67(5):792–797. doi: 10.1212/01.wnl.0000238386.41398.30. [DOI] [PubMed] [Google Scholar]
- 120.Simel DL, Rennie D, Bossuyt PM. The STARD statement for reporting diagnostic accuracy studies: application to the history and physical examination. J Gen Intern Med. 2008 Jun;23(6):768–774. doi: 10.1007/s11606-008-0583-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Reynolds MR, Blackburn SL, Zipfel GJ. Recurrent idiopathic perimesencephalic subarachnoid hemorrhage. J Neurosurg. 2011 Sep;115(3):612–616. doi: 10.3171/2011.5.JNS102020. [DOI] [PubMed] [Google Scholar]
- 122.Wallace AN, Dines JN, Zipfel GJ, Derdeyn CP. Yield of catheter angiography after computed tomography negative, lumbar puncture positive subarachnoid hemorrhage. Stroke. 2013 Jun;44(6):1729–1731. doi: 10.1161/STROKEAHA.113.001234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Delgado-Almandoz JE, Jagadeesan BD, Refai D, et al. Diagnostic yield of repeat catheter angiography in patients with catheter and computed tomography angiography negative subarachnoid hemorrhage. Neurosurgery. 2012 May;70(5):1135–1142. doi: 10.1227/NEU.0b013e318242575e. [DOI] [PubMed] [Google Scholar]
- 124.Morrison A, Polisena J, Husereau D, et al. The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies. Int J Technol Assess Health Care. 2012 Apr;28(2):138–144. doi: 10.1017/S0266462312000086. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.