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. Author manuscript; available in PMC: 2025 Apr 1.
Published in final edited form as: J Neurosurg Anesthesiol. 2023 Apr 19;36(2):164–171. doi: 10.1097/ANA.0000000000000913

A Global Review of the Perioperative Care of Patients with Aneurysmal Subarachnoid Hemorrhage Undergoing Microsurgical Repair of Ruptured Intracerebral Aneurysm

Abhijit V Lele 1, Ananya Abate Shiferaw 2, Marie Angele Theard 1, Monica S Vavilala 1, Cristiane Tavares 4, Ruquan Han 5, Denekew Assefa 6, Mihret Dagne Alemu 2, Charu Mahajan 7, Monica S Tandon 8, Neeta V Karmarkar 9, Vasudha Singhal 10, Ritesh Lamsal 11, Umeshkumar Athiraman 3; Global-SAH project collaborators
PMCID: PMC10584987  NIHMSID: NIHMS1877562  PMID: 37294597

Abstract

Introduction:

To describe the perioperative care of patients with aneurysmal subarachnoid hemorrhage (aSAH) who undergo microsurgical repair of a ruptured intracerebral aneurysm.

Methods:

An English language survey examined 138 areas of the perioperative care of aSAH patients. Reported practices were categorized as those reported by <20%, 21%–40%, 41%–60%, 61%–80%, and 81%–100% of participating hospitals. Data were stratified by Worldbank country income level (high-income or low/middle-income). Variation between country-income groups and between countries was presented as intracluster correlation coefficient (ICC) and 95% confidence interval (CI).

Results:

48 hospitals representing 14 countries participated in the survey (response rate 64%); 33 (69%) hospitals admitted ≥ 60 aSAH patients per year. Clinical practices reported by 81–100% of the hospitals included placement of an arterial catheter, pre-induction blood type/cross match, use of neuromuscular blockade during induction of general anesthesia, delivering 6–8 ml/kg tidal volume, and checking hemoglobin and electrolyte panels. Reported use of intraoperative neurophysiological monitoring was 25% (41% in high income and 10% in low/middle income countries), with variation between Worldbank country-income group (ICC 0.15, 95% CI 0.02–2.76) and between countries (ICC 0.44, 95% CI 0.00–0.68). The use of induced hypothermia for neuroprotection was low (2%). Prior to aneurysm securement, variable in blood pressure targets was reported; systolic blood pressure 90–120 mmHg (30%), 90–140 mmHg (21%), and 90–160 mmHg (5%). Induced hypertension during temporary clipping was reported by 37% of hospitals (37% each in high and low/middle income countries).

Conclusions:

This global survey identifies differences in reported practices during the perioperative management of aSAH patients.

Keywords: ruptured, cerebral aneurysm, subarachnoid hemorrhage, practices, quality metrics, neuroprotection, adenosine, burst suppression

INTRODUCTION

Aneurysmal subarachnoid hemorrhage (aSAH) is a global health problem. In 2010, the crude worldwide aSAH incidence was 6.1 (95% confidence interval (CI), 4.9–7.5) per 100,000 person-years1. The management of aSAH includes early referral to a high-volume aSAH center (treating ≥60 aSAH/year) and early repair of the ruptured intracerebral aneurysm2,3. In 2005, the cost of aSAH to the United Kingdom (UK) National Health Service was GBP168.2 million annually4, while in 2014 the average cost of hospitalization for aSAH in the United States (US) was $82,000/patient5.

One of the principles of the management of aSAH is prevention of rebleeding by timely definitive treatment of the ruptured aneurysm. The perioperative anesthetic and intensive care unit (ICU) management of aSAH involve maintaining cerebral perfusion, preventing/managing intraoperative brain swelling, facilitating surgical exposure, neurophysiological monitoring and temporary clipping, optimizing systemic physiology and managing glycemia6, anticipating and managing crises (e.g., aneurysm rupture), facilitating timely, smooth emergence and neurologic assessment, and preventing postoperative pain and complications7. Prior research has demonstrated differences in the ICU management of aSAH8,9. A study by Hofman et al.10 also reported discrepancies between the available guidelines and clinical practice in aSAH treatment in Poland and highlighted that periprocedural management is poorly standardized.

This global survey aimed to describe reported practices in the perioperative management of aSAH patients who undergo microsurgical repair of a ruptured intracerebral aneurysm.

METHODS

This study was approved by the Institutional Review Board of the University of Washington (#00013475; June 17, 2022). The survey participants consented to publication of their responses deidentified at the institutional level.

Study design and study participants

A 240-question English-language electronic survey was conducted between June 18 and July 18, 2022 (Supplemental Digital Content 1: the global aSAH intraoperative practice survey).

The survey questionnaire explored the clinical setting, preoperative assessment and management (preoperative assessment, neurological examination, assessment for cardiac dysfunction, and hemodynamic targets), intraoperative management (monitoring, anesthetic technique, neuroprotective interventions, management of intraoperative rupture of an intracerebral aneurysm, and hemodynamic, oxygenation and ventilation targets), and quality metrics tracked, totaling 138 areas. Before being finalized, the survey underwent internal and external review by content experts in perioperative aSAH care.

The survey was implemented using the Research Electronic Data Capture (Redcap) system hosted by the University of Washington’s Institute of Translational Health Sciences Redcap electronic data capture tools11. Survey responders were deidentified for 18 Health Insurance Portability and Accountability Act identifiers. Study sites were identified from a list of neuroanesthesiolgy fellowship program directors listed on the Society for Neuroscience in Anesthesiology and Critical Care website (https://snacc.org/fellows-and-residents/fellowships). After contacting the program directors by email, a single point of contact was identified to provide hospital-specific data. A link to the survey was emailed to the hospital contact, followed by reminders at one-week intervals. Only one response per hospital was collected; data were deidentified at the hospital level. Some of the survey respondents were authors of this study.

Statistical analysis

Survey participant characteristics were presented as a descriptive analysis, with results reported as counts and percentages. Reported practices were categorized amongst 138 different areas of perioperative care into five groups based on Cohen’s kappa reporting: 81–100%, 61–80%, 41–60%, 21–40%, and <20%12 based on responses received from participating hospitals. Variation between Worldbank country-income level groups (stratified as high-income (HI) or low/middle-income (LMIC)) and between countries was presented as intracluster correlation coefficients (ICC) for each variable in a mixed model that treated clusters as random effects13,14. Since the study sample was small, the mean ICC and 95% CI (2.5th and 97.5th percentiles of the bootstrap estimates’ distribution) from 1000 bootstrap samples were reported15. RStudio version 1.55416 (package ICC) was used for statistical analysis.

RESULTS

The study sample comprised 48 hospitals (survey response rate 48/75, 64%) representing 14 countries. The number of hospital responses from each of these 14 countries was: US, 11; India, 11; Ethiopia, 5; Canada, 3; France, 2; Turkey, 2; and one hospital each from Brazil, China, Finland, Germany, Italy, Spain, and the UK (Table 1). Forty-five (94%) of the responding hospitals were academic medical centers, 35 (73%) had a bed capacity ≥ 600, 35 (71%) were comprehensive stroke centers, and 33 (69%) admitted ≥ 60 aSAH patients annually. Of the 27 HI-country hospitals, 11 (41%) were located in the US. The majority of hospitals (34, 71%) reported that aSAH patients were admitted to a dedicated neurocritical care unit.

Table 1.

Global subarachnoid hemorrhage study participating center characteristics stratified by Worldbank country-income level

Characteristic
Overall sample (n = 148) HI countries (n=27) LMIC countries (n=21) Variation between HI & LMIC country* Variation between country*
Presence of an aSAH pathway for perioperative care 17 (35%) 11 (41%) 6 (29%) 0 (0.00–0.11) 0 (0.00–0.29)
Bed-size of hospital > 600 beds 35 (73%) 17 (63%) 18 (86%) 0.04(0.00–0.21) 0.08 (0.00–0.54)
Comprehensive stroke center 34 (71%) 22 (82%) 12 (57%) 0.04 (0.00–0.23) 0.12 (0.00–0.61)
Admit ≥ 60 aSAH cases/year 33 (69%) 20 (74%) 13 (62%) 0 (0.00–0.10) 0.66 (0.00–0.97)
Admitted to dedicated neurocritical care unit 34 (71%) 20 (74%) 14 (67%) 0 (0.00–0.10) 0.97 (0.61–0.99)
Dedicated neurointerventional suite 39 (81%) 25 (93%) 14 (67%) 0.14 (0.00–0.61) 0.67 (0.00–0.99)
Presence of hybrid operating room 11 (23%) 9 (33%) 2 (10%) 0.08 (0.00–0.52) 0.27 (0.00–0.82)
aSAH patients managed only by neuroanesthesiologists 21 (44%) 10 (37%) 11 (53%) 0 (0.00–0.08) 0.97 (0.42–0.99)

Data presented as number (%) or *intracluster correlation coefficient (95% confidence interval)

Notes: Because the random intercept model did not estimate variance components from sample data, the mean ICC and percentile 95% CI from 1000 bootstrap samples are reported.

Interpretation: The ICC reflects the variability in outcomes within and between Worldbank Country-income hospitals or countries. ICC values close to 1 imply that clustering within country-income group or countries is similar. ICC values close to 0 imply that clustering within country-income group or countries differs.

Example: The ICC for a dedicated neurointerventional suite by Worldbank country-income group is 0.138, implying that the variation between HI and LMIC countries is 13.8% and the variation is 86.2% within HI and LMIC hospitals. The ICC country-level variation for the same parameter is 26.7%, implying that 26.7% is between country variation and 73.3% is within country variation.

aSAH, aneurysmal subarachnoid hemorrhage; CI, confidence interval; HI, high income; ICC, intracluster correlation coefficient; LMIC, low/middle income

Institutional characteristics related to aSAH care

The characteristics of participating centers stratified by Worldbank country-income level are shown in Table 1. The majority of hospitals (39, 81%) reported the presence of a dedicated neuro-interventional suite. Eleven (23%) hospitals reported the presence of a hybrid operating room where a microsurgical and endovascular repair could be carried out. In 18 (38%) hospitals, an operating room was kept available as a backup when a neuro-interventional case was ongoing. A little over half of hospitals (28, 54%) reported that microsurgical aneurysm repair was performed 24/7. When asked whether microsurgical or endovascular repair is preferred at their institutions, 34 (71%) hospitals reported that the decision to perform a microsurgical or endovascular repair is made with consideration of the patient’s clinical condition and aneurysm characteristics and after a discussion between the attending neurosurgeon and interventionalist.

Anesthesia personnel who routinely manage aSAH patients

Care of aSAH patients was provided by anesthesia residents (18, 38%), certified nurse anesthetists (10, 21%), anesthesia assistants (13, 21%) or neuroanesthesiolgy fellows (7, 15%), all under the supervision of an attending anesthesiologist. Seven hospitals (15%) reported that an attending anesthesiologist provided solo care for aSAH patients. Twenty-one hospitals (43%) reported that aSAH patients received care only from neuroanesthesiologists, while the remainder (57%) reported that care was provided by a mix of neuro- and non-neuroanesthesiologists (Table 1).

Reported clinical practices

The areas of clinical practice reported by 81–100% of hospitals are shown in Table 2. Amongst these areas, variation amongst Worldbank country-income level groups was highest for the use of an arterial catheter (ICC 0.55; 95% CI, 0.00–0.83); between-country variation was highest for placement of an arterial catheter (ICC 0.99, 95% 0.96–0.99) and for review of a 12-lead electrocardiogram (ICC 0.83, 95% CI 0–0.99).

Table 2.

Perioperative care areas reported by 81–100% of participating hospitals stratified by Worldbank country-income level

Overall sample HI country hospital LMIC country hospital Variation between Worldbank category* Variation between country*
Preoperative assessment
Preoperative neurological examination 96% 100% 90% 0.11 (0.00–0.32) 0.68 (0.00–0.99)
12-lead electrocardiogram 94% 100% 86% 0.321 (0.00–0.62) 0.83 (0.00–0.99)
Hemodynamic monitoring
Invasive arterial catheter 90% 100% 80% 0.55 (0.00–0.83) 0.99 (0.96–0.99)
Induction of general anesthesia
Use of neuromuscular blocking agent 97% 93% 100% 0 (0.00–0.32) 0.34 (0.00–0.99)
Laboratory workup
Pre-induction blood type and screen 95% 100% 90% 0.33 (0.00–0.65) 0.28 (0.00–0.99)
Intraoperative hemoglobin/hematocrit 89% 82% 95% 0 (0.00–0.16) 0 (0.00–0.61)
Pre-induction blood type and cross-match 86% 77% 94% 0 (0.00–0.16) 0.31(0.00–0.98)
Intraoperative electrolyte panel 83% 81% 85% 0 (0.00–0.16) 0.04 (0.00–0.57)

Data presented as percentage of hospitals reporting the perioperative care area or *intracluster correlation coefficient (95% confidence interval)

Notes: Because the random intercept model did not estimate variance components from sample data, the mean ICC and percentile 95% confidence interval from 1000 bootstrap samples are reported.

Interpretation: ICC: reflects the variability in outcomes within and between Worldbank Country-income hospitals or countries. Values close to 1 imply that clustering within country-income or countries is similar. Values close to 0 imply that clustering within country-income or countries differs.

ICC, intraclass correlation coefficient; MAP, mean arterial pressure; PCO2, partial pressure of carbon-dioxide; PO2, partial pressure of oxygen; SBP, systolic blood pressure

The areas of clinical practice reported by 21–80% of the hospitals are shown in Table 3. Of note, variation was observed between Worldbank country-income level groups regarding trending intracranial pressure (ICC, 0.68; 95% CI, 0.00–0.95), followed by monitoring core temperature using a bladder catheter (ICC, 0.61; 95% CI, 0.00–0.88). The highest variation between countries was in the use of fentanyl for analgesia (ICC, 0.98; 95% CI, 0.60–0.99).

Table 3.

Perioperative care areas reported by 21–80% of the participating hospitals and stratified by Worldbank country-income level

% of hospitals reporting a particular practice Overall sample HI country hospital LMIC country hospital Variation between Worldbank category* Variation between country*
Preoperative assessment
Hunt and Hess grading 61–80% 79% 85% 71% 0 (0.00–0.33) 0.65 (0.00–0.97)
World Federation of Neurological Surgeons grading 61–80% 77% 78% 76% 0 (0.00–0.33) 0.67 (0.00–0.99)
Intracranial pressure trends 21–40% 31% 52% 5% 0.68 (0.00–0.95) 0.76 (0.00–0.99)
Cardiac troponin 21–40% 27% 41% 10% 0.15 (0.00–0.51) 0.24 (0.00–0.73)
Hemodynamic monitoring and arterial/venous access
SBP-based blood pressure target 61–80% 69% 62% 76% 0 (0.00–0.08) 0.28 (0.00–0.79)
MAP-based blood pressure target 41–60% 55% 50% 59% 0 (0.00–0.08) 0 (0.00–0.29)
Pulse pressure variation 41–60% 44% 46% 42% 0 (0.00–0.11) 0.61 (0.00–0.99)
Central venous catheter 21–40% 38% 15% 60% 0.21(0.00–0.52) 0.65 (0.00–0.98)
Pre-induction arterial catheter 21–40% 32% 44% 20% 0.05 (0.00–0.19) 0.50 (0.00–0.97)
SBP variation 21–40% 22% 19% 24% 0 (0.00–0.17) 0.05 (0.00–0.62)
Induction of anesthesia
Propofol 61–80% 65% 70% 60% 0 (0.00–0.10) 0 (0.00–0.33)
Fentanyl 41–60% 54% 37% 70% 0 (0.00–0.09) 0.23 (0.00–0.65)
Intravenous lidocaine 41–60% 47% 48% 45% 0 (0.00–0.08) 0 (0.00–0.27)
Maintenance of anesthesia
Total intravenous anesthesia only 21–40% 26% 22% 30% 0 (0.00–0.14) 0 (0.00–0.38)
Inhalational anesthetic only 21–40% 26% 7% 45% 0.24 (0.00–0.68) 0.31 (0.00–0.97)
Analgesia
Fentanyl 21–40% 34% 7% 60% 0.36 (0.00–0.78) 0.98 (0.60–0.99)
Remifentanil 21–40% 27% 44% 10% 0.19 (0.00–0.61) 0.69 (0.00–0.99)
Intravenous acetaminophen 21–40% 26% 11% 40% 0.10 (0.00–0.37) 0.60 (0.00–0.99)
Any scalp block placed in the perioperative period 21–40% 25% 4% 45% 0.37 (0.00–0.78) 0.32 (0.00–0.96)
Laboratory workup
Laboratory workup 61–80% 78% 70% 85% 0 (0.00–0.12) 0 (0.00–0.46)
Arterial blood gas 61–80% 75% 74% 75% 0 (0.00–0.11) 0.68 (0.00–0.99)
Blood glucose 61–80% 75% 74% 75% 0 (0.00–0.11) 0.37 (0.00–0.97)
International normalized ratio 61–80% 74% 63% 85% 0 (0.00–0.12) 0.16 (0.00–0.71)
Prothrombin time 61–80% 71% 56% 85% 0.05 (0.00–0.20) 0.17 (0.00–0.64)
Partial thromboplastin time 61–80% 67% 63% 70% 0 (0.00–0.11) 0 (0.00–0.27)
Lactate levels 61–80% 65% 63% 66% 0 (0.00–0.10) 0.46 (0.00–0.93)
Fluid management
25% albumin 61–80% 71% 81% 60% NA NA
Balanced salt solution 41–60% 58% 56% 60% 0 (0.00–0.08) 0.10 (0.00–0.51)
Normal saline 21–40% 36% 15% 57% 0.21 (0.00–0.57) 0.22 (0.00–0.70)
Neurophysiological monitoring
Neurophysiologists interpret neurophysiological monitoring 61–80% 76% 89% 62% 0.10 (0.00–0.36) 0.69 (0.00–0.99)
Intraoperative neurophysiological monitoring 21–40% 26% 41% 10% 0.15 (0.02–2.76) 0.44 (0.00–0.68)
Electroencephalogram 21–40% 24% 37% 10% 0.12 (0.03–2.06) 0.44 (0.00–0.48)
Somatosensory evoked potentials 21–40% 21% 37% 5% 0.26 (0.01–3.85) 0.51 (0.00–0.49)
Anti-epileptic prophylaxis
Anti-epileptic prophylaxis 21–40% 40% 44% 35% 0 (0.00–0.21) 0.11 (0.11–1.06)
Levetiracetam 21–40% 29% 41% 14% 0.07 (0.05–1.91) 0.57 (0.00–0.35)
Phenytoin 21–40% 21% 7% 38% 0.43 (0.00–0.82) 0.13 (0.05–0.54)
Temperature monitoring
Target temperature > 35°C 41–60% 52% 48% 55% 0 (0.00–0.10) 0.25 (0.00–0.73)
Some temperature monitoring 41–60% 50% 62% 38% 0.15 (0.00–0.56) 0.28 (0.00–0.98)
Esophageal temperature 41–60% 50% 75% 25% 0.01 (0.00–0.14) 0 (0.00–0.35)
Nasopharyngeal temperature 41–60% 50% 21% 78% 0.23 (0.00–0.66) 0.73 (0.00–0.99)
Bladder temperature 41–60% 50% 100% 0% 0.61 (0.00–0.88) 0.98 (0.51–0.99)
Skin temperature 41–60% 50% 0% 100% 0.46 (0.00–0.76) 0.86 (0.00–0.99)
Target temperature > 36 °C 21–40% 37% 48% 25% 0.03 (0.00–0.17) 0.18 (0.00–0.63)
Osmotherapy
Mannitol 41–60% 49% 33% 64% 0.05 (0.00–0.21) 0 (0.00–0.25)
Any osmolar agent (mannitol/hypertonic saline) 21–40% 33% 26% 40% 0 (0.00–0.10) 0.06 (0.00–0.50)
Neuroprotection during temporary clipping
Provide neuroprotection 41–60% 52% 56% 47% 0.06 (0.00–0.45) 0 (0.00–0.08)
Maintain MAP >100 mmHg 41–60% 46% 44% 47% NA NA
Propofol for burst suppression 41–60% 44% 56% 31% 0.04 (0.00–0.22) 0.15 (0.00–0.60)
Induced hypertension 21–40% 37% 37% 37% 0 (0.00–0.09) 0 (0.00–0.26)
Maintain SBP 120–140 mmHg 21–40% 33% 19% 47% 0.04 (0.00–0.22) 0.26 (0.00–0.85)
Maintain MAP 81–100 mmHg 21–40% 32% 26% 37% 0 (0.00–0.12) 0 (0.00–0.35)
Maintain SBP 141–160 mmHg 21–40% 24% 11% 36% 0.06 (0.00–0.33) 0.29 (0.00–0.97)
Maintain MAP 60–80 mmHg 21–40% 24% 15% 32% 0 (0.00–0.11) 0.01(0.00–0.56)
Burst suppression 21–40% 23% 41% 5% 0.29 (0.00–0.70) 0.51 (0.00–0.99)
Oxygenation & ventilation
Delivered tidal volume 6–8 ml ideal body weight 61–80% 80% 81% 78% 0 (0.00–0.14) 0 (0.00–0.43)
PO2 91–150 mmHg 61–80% 61% 59% 63% 0 (0.00–0.08) 0.04 (0.00–0.36)
PaCO2 31–35 mmHg 21–40% 37% 26% 47% 0 (0.00–0.08) 0.32 (0.00–0.86)
PaCO2 36–40 mmHg 21–40% 24% 26% 21% 0 (0.00–0.12) 0(0.00–0.31)
Intraprocedural re-bleed management
Adenosine available in operating room 21–40% 40% 58% 22% 0.14 (0.00–0.42) 0.19 (0.00–0.67)
Adenosine dose 0.1–0.3 mg/kg 21–40% 24% 31% 17% 0 (0.00–0.14) 0 (0.00–0.39)
MAP reduction to 60 mmHg 21–40% 23% 12% 33% 0.02 (0.00–0.21) 0 (0.00–0.48)
Pre-securement blood pressure targets
Maintain MAP 60–80 mmHg 21–40% 35% 35% 35% 0 (0.00–0.13) 0 (0.00–0.35)
Maintain SBP 90–120 mmHg 21–40% 30% 31% 29% 0 (0.00–0.13) 0 (0.00–0.43)
Maintain MAP 60–100 mmHg 21–40% 24% 19% 29% 0 (0.00–0.15) 0 (0.00–0.47)
Maintain SBP 90–140 mmHg 21–40% 21% 23% 18% 0 (0.00–0.17) 0.01 (0.00–0.53)
Post-securement blood pressure targets
Maintain MAP 60–80 mmHg 21–40% 31% 27% 35% 0 (0.00–0.10) 0 (0.00–0.38)
Maintain SBP 90–120 mmHg 21–40% 28% 27% 29% 0 (0.00–0.11) 0 (0.00–0.40)
Maintain SBP 90–140 mmHg 21–40% 28% 27% 29% 0 (0.00–0.15) 0 (0.00–0.41)
Quality metrics
Intensive care unit length of stay 41–60% 51% 60% 41% 0 (0.00–0.27) 0 (0.00–0.69)
Re-bleed of aneurysm 41–60% 50% 50% 50% 0.01(0.00–0.15) 0.21 (0.00–0.73)
Glucose targets 41–60% 50% 57% 43% 0 (0.00–0.093) 0 (0.00–0.34)
Patient movement 41–60% 50% 36% 64% 0.06 (0.00–0.35) 0.12 (0.00–0.67)
Stroke after microsurgical repair 41–60% 50% 56% 44% 0 (0.00–0.11) 0.38 (0.00–0.97)
Postoperative mortality 41–60% 50% 62% 38% 0 (0.00–0.27) 0 (0.00–0.73)
Hemodynamic target adherence 41–60% 50% 44% 55% 0.04 (0.00–0.21) 0.17 (0.00–0.68)
Perioperative hypothermia 41–60% 50% 67% 33% 0 (0.00–0.12) 0 (0.00–0.42)
Postoperative reintubation 41–60% 50% 54% 46% 0 (0.00–0.095) 0.71 (0.00–0.98)
Hospital length of stay 41–60% 50% 58% 42% 0 (0.00–0.27) 0 (0.00–0.57)
Delayed cerebral ischemia 41–60% 50% 56% 44% 0 (0.00–0.11) 0.07 (0.00–0.53)
Venous thromboembolism 41–60% 50% 58% 42% 0 (0.00–0.11) 0.45 (0.00–0.97)
Postoperative pulmonary complications 41–60% 50% 50% 50% 0.01 (0.00–0.13) 0.68(0.00–0.99)
EVD-associated adverse events 41–60% 50% 54% 46% 0 (0.00–0.11) 0.14 (0.00–0.69)
Education
SNACC cognitive aids available in operating room 41–60% 50% 78% 21% 0.13(0.00–0.40) 0.35 (0.00–0.97)
Intraoperative crisis management for trainees 41–60% 50% 67% 33% 0 (0.00–0.12) 0.70 (0.00–0.99)
Intraoperative crisis management for non-neuroanesthesiologists 41–60% 50% 60% 40% 0 (0.00–0.11) 0.37 (0.00–0.96)

Data presented as percentage or *intracluster correlation coefficient (95% confidence interval)

Notes: Because the random intercept model did not estimate variance components from sample data, the mean ICC and percentile 95% confidence interval from 1000 bootstrap samples are reported.

Interpretation: ICC: reflects the variability in outcomes within and between Worldbank Country-income hospitals or countries. Values close to 1 imply that clustering within country-income or countries is similar. Values close to 0 imply that clustering within country-income or countries differs.

ICC, intracluster correlation coefficient; EVD, external ventricular drain; MAP, mean arterial pressure; N/A, not available (overall reported use was 5% or lower so ICC not calculated for these data elements); PaCO2, partial pressure of carbon-dioxide; PaO2, partial pressure of oxygen; SBP, systolic blood pressure; SNACC, Society for Neuroscience in Anesthesiology and Critical Care

There were reported variations in hemodynamic targets and monitoring. Prior to aneurysm securement, institutions variably maintained SBP between 90–120 mmHg (30%), 90–140 mmHg (21%), or between 90–160 mmHg (5%). There was also variation between countries regarding placement of central venous access catheters (ICC, 0.65; 95% CI, 0.00–0.98) and use of pulse pressure variation for hemodynamic monitoring (ICC, 0.61; 95 CI%, 0.00–0.99).

Oxygenation and ventilation management also varied, including between Worldbank country-income group in maintaining PaCO2 between 25–30 mmHg (ICC, 0.22; 95% CI, 0.00–0.55) and between countries in maintaining PaO2 between 60–90 mmHg (ICC, 0.22; 95% CI, 0.00–0.88).

Overall, intraoperative neurophysiological monitoring (IONM) use was reported by 26% of hospitals; IONM was used by 41% of hospitals in HI countries and by 10% in LMIC countries. Variation in IONM was observed between Worldbank country-income group (ICC, 0.15; 95% CI, 0.02–2.76) and also between countries (ICC, 0.44; 95% CI, 0.00–0.68). Specifically, variation between countries was noted for interpretation of IONM by neurophysiologists (ICC, 0.69; 95% CI, 0.00–0.99) and use of motor evoked potential monitoring (ICC, 0.68; 95% CI, 0.00–0.03).

There was variable use of neuroprotective strategies during temporary clipping. Induced hypertension use was reported by 37% of hospitals (equally distributed amongst HI and LMIC groups). Regarding electroencephalographic burst suppression, there was variation between Worldbank country-income regions (ICC, 0.29; 95% CI, 0.00–0.70) and between countries (ICC, 0.51; 95% CI, 0.00–0.99). The reported use of induced hypothermia was rare (2%). Other areas of perioperative care reported by < 20% of participating hospitals are presented in Supplemental Digital Content 2.

The management of intraoperative aneurysm rupture was also variable, including between Worldbank country-income groups regarding adenosine dosing (ranging from 0.31–0.45 mg/kg) to manage intraoperative aneurysm rupture (ICC, 0.22; 95% CI, 0.00–0.58).

Between-country variation in reported quality metrics was highest for tracking postoperative pulmonary complications (ICC, 0.68; 95% CI, 0.00–0.99). Finally, in terms of education, there was between-country variation in the use of intraoperative crisis management for anesthesiology trainees (ICC, 0.70; 95% CI, 0.00–0.99).

DISCUSSION

We conducted a global survey to describe institutional practices regarding the perioperative management of aSAH patients undergoing microsurgical repair of a ruptured intracerebral aneurysm. The main findings of the survey were: 1) reported variation in the majority of areas of care practices during the perioperative management of aSAH patients, and 2) reported variation in practices between/within Worldbank country-income groups and also between/within countries where participating hospitals are located.

This study found variation in the perioperative care of aSAH patients undergoing microsurgical repair of a ruptured intracerebral aneurysm. This finding is not surprising given the lack of high-quality, evidence-based recommendations regarding such perioperative care practices and dependence upon locally-based practices. The variability in perioperative care observed in our survey complements previous publications demonstrating variability in the ICU management of aSAH8,9,10.

The areas of perioperative care with practice variation were many. They included preoperative assessment/preparation, choice of anesthetic agents for induction and maintenance of general anesthesia, analgesia use, laboratory workup, anti-epileptic prophylaxis, osmotherapy, hemodynamic, neurophysiological and temperature monitoring, hemodynamic support and fluid management, oxygenation and ventilation management, neuroprotection during temporary clipping, management of intraoperative bleeding, quality metrics, and education. Areas reported by 81–100% of the hospitals, such as placement of an invasive arterial catheter or type or screening or cross-matching for blood, may not necessarily reflect the specific management of cerebral aneurysm cases but, instead, reflect general principles of preoperative preparation and intraoperative management. In addition, the variation between Worldbank country-income groups and between countries may reflect the availability of technology and institutional biases toward specific practice patterns. For example, variation was reported in the use of IONM not only between countries but also within countries; thus, IONM may not be used in all academic centers, even in HI countries. Similarly, the reported use of anesthetic agents (volatile vs. intravenous) may be aligned with local institutional practice and may also depend upon the use of IONM. This may imply institutional biases regarding locally preferred technique versus what is supported by evidence1720.

Reported clinical practices and their alignment with available evidence deserve some discussion. Our survey results indicate that hypothermia is not routinely used for neuroprotection which may be due to the results of the IHAST21 clinical trial, and is also aligned with aSAH guidelines2 which state that induced hypothermia during aneurysm surgery is not routinely recommended but that it may be a reasonable option in selected cases (Class III; Level of Evidence B). While our survey found that SBP was reportedly maintained below 160 mmHg based on the aSAH guidelines,2 there was variation in the range of SBP targets used (90–120 mmHg vs. 90–140 mmHg vs. 90–160mmHg); this not something that is clearly defined in aSAH guidelines which, instead, recommend that minimizing the degree and duration of intraoperative hypotension during aneurysm surgery is probably indicated (Class IIa; Level of Evidence B). Similarly, the variation in practices regarding neuroprotection during temporary clipping appear to follow the recommendations that there are insufficient data on pharmacological strategies or induced hypertension during temporary vessel occlusion to make specific recommendations, but that there are instances when their use may be considered reasonable (Class IIb; Level of Evidence C).

This study has some limitations as well as strengths. The limitations are typical of survey-based reporting in that clinical practices are at risk for under- or over-reporting of events based on prevalent institutional biases. This study did not correlate practices with clinical outcomes; thus, it is hard to draw inferences based on the responses received. The study sample was primarily from academic medical centers and may not represent clinical care practices globally. In addition, many of the reported clinical practices do not necessarily represent evidence-based best practices and should not be taken as the standard of care in all components. Some of the study respondents were authors of this manuscript which could also introduce bias. Finally, the study did not specify nor characterize the training which distinguishes a neuroanesthesiologist. The strengths of the survey are that it was a comprehensive review of many aspects of the perioperative care of aSAH patients, and also an attempt to explore a 360-degree view of the perioperative care that may be provided to aSAH patients at the participating hospitals worldwide, As such, it provides a global perspective on this issue.

CONCLUSIONS

This global survey identified differences in reported practices during the perioperative management of aSAH patients. These differences highlight opportunities for future research and the unmet need for evidence-based recommendations that may guide clinical care.

Supplementary Material

SDC1
SDC2

Disclosures:

Author AL reports salary support from LifeCenter Northwest.

Author AU reports K08NS125038 grant awarded by the National Institute of Neurological Disorders and Stroke (NINDS) and a grant from the Brain Aneurysm foundation. The remaining authors have no financial disclosures to report.

Footnotes

SUPPLEMENTARY MATERIAL

Supplementary digital content 1

Global-SAH survey questionnaire.

SDC 1.PDF

Supplementary digital content 2

Perioperative care areas reported by < 20% of participating hospitals and stratified by Worldbank country-income level.

R3_Revised_SDC_2.PDF

REFERENCES

  • 1.Etminan N, Chang HS, Hackenberg K, et al. Worldwide Incidence of Aneurysmal Subarachnoid Hemorrhage According to Region, Time Period, Blood Pressure, and Smoking Prevalence in the Population: A Systematic Review and Meta-analysis. JAMA Neurol. 2019;76(5):588–597. doi: 10.1001/jamaneurol.2019.0006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Connolly ES Jr, Rabinstein AA, Carhuapoma JR, et al. Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/american Stroke Association. Stroke. 2012;43(6):1711–1737. doi: 10.1161/STR.0b013e3182587839 [DOI] [PubMed] [Google Scholar]
  • 3.Steiner T, Juvela S, Unterberg A, et al. European Stroke Organization guidelines for the management of intracranial aneurysms and subarachnoid haemorrhage. Cerebrovasc Dis. 2013;35(2):93–112. doi: 10.1159/000346087 [DOI] [PubMed] [Google Scholar]
  • 4.Rivero-Arias O, Gray A, Wolstenholme J. Burden of disease and costs of aneurysmal subarachnoid haemorrhage (aSAH) in the United Kingdom. Cost Eff Resour Alloc. 2010;8:6. doi: 10.1186/1478-7547-8-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Modi S, Shah K, Schultz L, Tahir R, Affan M, Varelas P. Cost of hospitalization for aneurysmal subarachnoid hemorrhage in the United States. Clin Neurol Neurosurg. 2019;182:167–170. doi: 10.1016/j.clineuro.2019.05.018 [DOI] [PubMed] [Google Scholar]
  • 6.McGirt MJ, Woodworth GF, Ali M, Than KD, Tamargo RJ, Clatterbuck RE. Persistent perioperative hyperglycemia as an independent predictor of poor outcome after aneurysmal subarachnoid hemorrhage. J Neurosurg. 2007;107(6):1080–1085. doi: 10.3171/jns.2007.107.6.1080 [DOI] [PubMed] [Google Scholar]
  • 7.Sharma D Perioperative Management of Aneurysmal Subarachnoid Hemorrhage. Anesthesiology. 2020;133(6):1283–1305. doi: 10.1097/aln.0000000000003558 [DOI] [PubMed] [Google Scholar]
  • 8.de Winkel J, van der Jagt M, Lingsma HF, et al. International Practice Variability in Treatment of Aneurysmal Subarachnoid Hemorrhage. J Clin Med Res. 2021;10(4). doi: 10.3390/jcm10040762 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Stevens RD, Naval NS, Mirski MA, Citerio G, Andrews PJ. Intensive care of aneurysmal subarachnoid hemorrhage: an international survey. Intensive Care Med. 2009;35(9):1556–1566. doi: 10.1007/s00134-009-1533-1 [DOI] [PubMed] [Google Scholar]
  • 10.Hofman M, Hajder N, Duda I, Krzych ŁJ. A Questionnaire Survey of Management of Patients with Aneurysmal Subarachnoid Haemorrhage in Poland. Int J Environ Res Public Health. 2020;17(11). doi: 10.3390/ijerph17114161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics. 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.McHugh ML. Interrater reliability: the kappa statistic. Biochem Med. 2012;22(3):276–282. https://www.ncbi.nlm.nih.gov/pubmed/23092060 [PMC free article] [PubMed] [Google Scholar]
  • 13.Singer JD. Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models. J Educ Behav Stat. 1998;23(4):323–355. doi: 10.3102/10769986023004323 [DOI] [Google Scholar]
  • 14.Thompson DM, Fernald DH, Mold JW. Intraclass correlation coefficients typical of cluster-randomized studies: estimates from the Robert Wood Johnson Prescription for Health projects. Ann Fam Med. 2012;10(3):235–240. doi: 10.1370/afm.1347 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Accessed December 20, 2022. https://www.semanticscholar.org
  • 16.RStudio. Accessed January 7, 2022. https://www.rstudio.com/
  • 17.Bhagat H, Sharma T, Mahajan S, et al. Intravenous versus inhalational anesthesia trial for outcome following intracranial aneurysm surgery: A prospective randomized controlled study. Surg Neurol Int. 2021;12(300):300. doi: 10.25259/SNI_342_2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bhardwaj A, Bhagat H, Grover VK, et al. Comparison of propofol and desflurane for postanaesthetic morbidity in patients undergoing surgery for aneurysmal SAH: a randomized clinical trial. J Anesth. 2018;32(2):250–258. doi: 10.1007/s00540-018-2474-z [DOI] [PubMed] [Google Scholar]
  • 19.Sharma N, Wig J, Mahajan S, Chauhan R, Mohanty M, Bhagat H. Comparison of postoperative cognitive dysfunction with the use of propofol versus desflurane in patients undergoing surgery for clipping of aneurysm after subarachnoid hemorrhage. Surg Neurol Int. 2020;11(174):174. doi: 10.25259/SNI_70_2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Joys S, Panda NB, Ahuja CK, et al. Comparison of effects of propofol and sevoflurane on the cerebral vasculature assessed by digital subtraction angiographic parameters in patients treated for ruptured cerebral aneurysm: A preliminary study. J Neurosurg Anesthesiol. 2022;Publish Ahead of Print. doi: 10.1097/ANA.0000000000000833 [DOI] [PubMed] [Google Scholar]
  • 21.Todd MM, Hindman BJ, Clarke WR, Torner JC, Intraoperative Hypothermia for Aneurysm Surgery Trial (IHAST) Investigators. Mild intraoperative hypothermia during surgery for intracranial aneurysm. N Engl J Med. 2005;352(2):135–145. doi: 10.1056/NEJMoa040975 [DOI] [PubMed] [Google Scholar]

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SDC2

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