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. 2014 Mar 22;14:55. doi: 10.1186/1471-2377-14-55

Observational Dutch Young Symptomatic StrokE studY (ODYSSEY): study rationale and protocol of a multicentre prospective cohort study

Renate M Arntz 1,#, Mayte E van Alebeek 1,#, Nathalie E Synhaeve 2,3, Paul J Brouwers 4, Gert W van Dijk 5, Rob A Gons 6, Tom den Heijer 7, Paul LM de Kort 2,3, Karlijn F de Laat 8, Anouk G van Norden 9, Sarah E Vermeer 10, Maureen J van der Vlugt 11, Roy PC Kessels 12,13, Ewoud J van Dijk 1, Frank-Erik de Leeuw 1,
PMCID: PMC3998025  PMID: 24655479

Abstract

Background

The proportion of strokes occurring in younger adults has been rising over the past decade. Due to the far longer life expectancy in the young, stroke in this group has an even larger socio-economic impact. However, information on etiology and prognosis remains scarce.

Methods/design

ODYSSEY is a multicentre prospective cohort study on the prognosis and risk factors of patients with a first-ever TIA, ischemic stroke or intracerebral hemorrhage aged 18 to 49 years. Our aim is to include 1500 patients. Primary outcome will be all cause mortality and risk of recurrent vascular events. Secondary outcome will be the risk of post-stroke epilepsy and cognitive impairment. Patients will complete structured questionnaires on outcome measures and risk factors. Both well-documented and less well-documented risk factors and potentially acute trigger factors will be investigated. Patients will be followed every 6 months for at least 3 years. In addition, an extensive neuropsychological assessment will be administered both at baseline and 1 year after the stroke/TIA. Furthermore we will include 250 stroke-free controls, who will complete baseline assessment and one neuropsychological assessment.

Discussion

ODYSSEY is designed to prospectively determine prognosis after a young stroke and get more insight into etiology of patients with a TIA, ischemic stroke and intracerebral hemorrhage in patients aged 18 to 49 years old in a large sample size.

Keywords: Young adults, Stroke, TIA, Prognosis, Risk factors

Background

Recent studies have shown that the proportion of strokes occurring in adults younger than 50 years of age has increased from 13 to 19% over the past decade [1,2]. Due to the longer life expectancy in the young compared with a general elderly stroke patient, stroke in this younger group has a large impact on number of years lost to ill-health, disability or early death [3]. This impact will not only be determined by the direct mortality and residual post-stroke deficit, but may also be influenced by future vascular events, cognitive impairment or post-stroke epilepsy that may occur throughout their post-stroke lives [4,5]. Especially for young patients reliable information on this prognosis is of great importance as their stroke occurs in the period of life in which they would like to form families, have an active social life and make decisive career moves. However, it is exactly the prognosis of this younger group that remains unclear.

Previous studies on stroke in the young were mainly retrospective and included patients who had their index events at times with a completely different secondary prevention strategy. Most studies only aimed at prognosis in terms of mortality and vascular events, which are very important outcome measures. However, other important post-stroke complications, such as cognitive deficits, post-stroke epilepsy and post-stroke functioning were not taken into account. Furthermore previous studies have only included patients with an ischemic stroke, whereas studies in younger patients with a transient ischemic attack (TIA) or intracerebral hemorrhage are scarce. There is growing evidence that despite the fact that TIA patients suffer from (by definition) transient neurological deficits, their cognitive or social sequelae may last way longer [6-8]. In addition, survival of patients with an intracerebral hemorrhage has improved substantially due to improved care resulting in longer post-stroke life expectancy. Information on prognosis after an intracerebral hemorrhage or TIA is consequently of great importance as well, both for patients and their health professionals when counselling their patients with information on the course of the disease.

Apart from uncertainties about prognosis and the major socio-economic impact of a young stroke, the explanation for the increased incidence of young stroke remains unclear. It has been suggested that an increased prevalence in traditional vascular risk factors, such as diabetes mellitus and obesity due to unhealthy life style and poor education, results in (more) atherosclerosis already at younger ages which may lead to stroke [9,10]. Furthermore, a rising incidence of substance abuse which may be more pronounced in the young might play a role [11]. However, despite the use of ever increasing additional clinical investigations that take place in renowned specialized stroke centers, etiology remains unknown in more than 30% of the young stroke patients [12]. An approach to get more insight into pathophysiological mechanisms of a young stroke, is to identify potentially acute trigger factors that precede a young stroke. In studies on subarachnoid hemorrhage and ischemic stroke in elderly, several acute trigger factors already have been identified (including for example vigorous physical exercise, emotions and coffee consumption) [13,14].

The assessment of prognosis and etiology is a first step in informing young stroke patients in terms of prognosis. We therefore will perform the Observational Dutch Young Symptomatic StrokE studY (ODYSSEY); a large multicentre prospective cohort study on prognosis and both traditional and other risk factors of patients with a TIA, ischemic stroke or intracerebral hemorrhage aged 18 through 49 years.

Methods/design

Study design

ODYSSEY is a multicentre prospective cohort study that investigates prognosis and risk factors of patients with a TIA, ischemic stroke or intracerebral hemorrhage aged 18 through 49 years. Within this setting we will perform a case-crossover design on potential acute trigger factors. The Medical Review Ethics Committee region Arnhem-Nijmegen approved the study (NL41531.091.12) and all participants will be requested to sign an informed consent form.

Objectives

The main objective of our study is to determine the risk of mortality and recurrent vascular events in patients with a first-ever young TIA, ischemic stroke or intracerebral hemorrhage.

Secondary objectives are to determine the risk of post-stroke epilepsy, cognitive impairment and (vascular) dementia after a young stroke. The influence of a young stroke on functional outcome, quality of life and depressive symptoms will also be investigated. We will investigate the prevalence of traditional vascular risk factors and the relation between potential acute trigger factors and the occurrence of a young stroke. In addition we will identify baseline characteristics that are associated with our primary and secondary outcomes.

Study population

Patients

All consecutive patients with an acute first-ever young stroke or TIA admitted to the stroke unit or outpatient department of one of the participating centers will be asked to participate in the study. Participating study centers are the Departments of Neurology at the Haga Hospital Den Haag, St Franciscus Gasthuis Rotterdam, Tweesteden Hospital and St. Elisabeth Hospital Tilburg, Catharina Hospital Eindhoven, Amphia Hospital Breda, Medisch Spectrum Twente Enschede, Canisius Wilhelmina Hospital Nijmegen, Rijnstate Hospital Arnhem and Radboud University Medical Centre Nijmegen.

The following Inclusion criteria will be applied:

1. First-ever acute stroke (ischemic stroke or intracerebral hemorrhage) or TIA with corresponding lesion and/or evidence of acute arterial occlusion on CT (A)- or MRI/A-scan.

2. Age 18 through 49 years.

3. Onset of symptoms within 14 days prior to inclusion.

TIA is defined as a rapidly evolving focal neurological deficit, without positive phenomena such as twitches, jerks or myoclonus, with no other than vascular cause lasting less than 24 hours. Acute stroke is defined similar, but with symptoms persisting for more than 24 hours. On the basis of neuro-imaging stroke is further divided into intracerebral hemorrhage and ischemic stroke. Hemorrhagic transformation of an ischemic stroke will be classified as an ischemic stroke.

Exclusion criteria

1. History of a TIA or stroke.

2. Traumatic intracerebral hemorrhage.

3. Any subarachnoid hemorrhage.

4. Intracerebral hemorrhage due to a known ruptured aneurysm.

5. Intracerebral hemorrhage in a known cerebral malignancy (either primary brain tumor or metastasis).

6. Transient monocular blindness or retinal infarction.

7. Cerebral venous sinus thrombosis.

8. Not permanently living in the Netherlands.

Controls

Controls will be recruited among patients’ spouses, relatives or social environment. Controls have to be aged 18 through 49 years and will be matched for mean age, sex and level of education. A history of TIA, ischemic stroke or intracerebral hemorrhage is an exclusion criterion, which will be confirmed by a validated questionnaire for verifying stroke-free status [15].

Procedures

All eligible patients will be recruited during the evaluation of their TIA or stroke. Patient recruitment is planned over a 3-to-4 year period and we intend to include 1500 patients. After informed consent and written approval of the participants patients will formally enter the study. If the patient is unable to provide informed consent, consent is provided by the patient’s legally acceptable representative. During admission or visit to the outpatient department, patients will undergo a baseline assessment. In addition, patients will undergo an extensive baseline neuropsychological investigation 6–8 weeks after the index event. The same neuropsychological assessment will be administered 1 year after the TIA or stroke. After baseline assessment, patients will be followed every 6 months for at least 3 years by telephone interview. See Figure 1 for the flowchart of the study design. In addition we intend to include 250 controls who will undergo a baseline assessment on demographics and a neuropsychological assessment.

Figure 1.

Figure 1

Study design.

Sample size and power calculation

Sample size is based on the least frequent endpoint after young stroke. According to previous literature cumulative incidence of post-stroke dementia is approximately 1% per year. To adjust for the most important confounders (age, sex, stroke severity, education and depression) in our cox proportional hazard analysis, at least 40 cases are needed. To detect a cumulative incidence of 1% per year and a follow-up of 3 years with a power of 80%, results in a sample size of at least 1500 patients.

Control subjects are included to compare cognitive tasks between patients and healthy subjects. Our pilot studies showed that ‘attention’ is the cognitive task which differs the least between patients and healthy subjects (impaired in 14% versus 8% respectively). To identify this difference with a power of 80% and alpha 0.05 in previous mentioned 1500 patients, 265 healthy control subjects need to be included.

Measures-baseline

Medical history

At baseline all participants (patients and controls) will undergo standardized structured questionnaires on demographics, level of education (scored using seven categories in accordance with the Dutch educational system: 1 = less than primary school; 7 = university degree) [16], marital status and employment.

The presence of cardiovascular risk factors will be assessed by standardized, structured questionnaires and classified according to the current guidelines of the American Heart Association [17]. Non-modifiable risk factors include age, sex and a family history of cardiovascular diseases in the next of kin. Well-documented and potentially modifiable risk factors will include cardiovascular diseases (valvular heart diseases, myocardial infarction, coronary artery bypass grafting (CABG), percutaneous transluminal coronary angioplasty (PTCA) and peripheral revascularisation procedures). Furthermore well-documented potential modifiable risk factors will included diabetes mellitus, hypertension, dyslipidemia, smoking and atrial fibrillation.

Less-well documented, potentially modifiable risk factors included a history of migraine, acute infections, the use of oral contraceptives, alcohol consumption and the use of recreational drugs. Patients will be screened for migraine with the MISS questionnaire, a screening instrument regularly used in Dutch hospitals containing questions about migraine in terms of diagnosis, frequency, aura and concomitant symptoms. Definitions of both well-documented and less-well documented, potentially modifiable risk factors are shown in Additional file 1.

In addition to the assessment of risk factors, patients will be asked about a history of epilepsy, pregnancies and complications, pulmonary embolism, deep vein thrombosis and current medication use. Furthermore functional performance prior to the index event will be assessed by modified Rankin scale.

Potential trigger factors

In addition to the questionnaires on cardiovascular risk factors, patients will be requested to fill out a standardized structured self-reported questionnaire on acute factors that might trigger stroke. For each trigger factor, patients will be asked to report their usual exposure during the past year and the exposure during a predefined period before the onset of stroke; the hazard period. Hazard periods are based on the estimated duration of the effect of each potential trigger factor as used in previous studies investigating trigger factors of cardiovascular events [13,14,18]. In addition to exposure in the hazard period, patients will be asked about the last exposure before stroke. In this case-crossover design, each patient will serve as his or her own control [19].

Potential trigger factors that will be investigated include smoking, consumption of alcohol, recreational drugs (cocaine, heroin, methadone, amphetamine, cannabis, XTC, anabolic steroids, hallucinogens and EPO), caffeine containing drinks (coffee and cola), valsalva maneuver, fever, positive and negative emotions, physical exercise and sexual activity. Table 1 shows the hazard periods for the different potential trigger factors. To investigate the effect of valsalva maneuver as stroke trigger, patients will be asked about sneezing, coughing, nose-blowing and heavy lifting. The exposure to positive and negative emotions will be measured using the PANAS scale, a 5 level scale which contains 9 positive and 9 negative affects [20]. Whenever patients report a mean score of ≥3.5 on the negative affects, they will be considered exposed to negative emotions [21]. Anger will be measured using the anger scale, consisting of 7 levels of anger [22]. Patients are considered exposed to anger if they report a peak level of anger ≥4 (very angry, furious or enraged). Physical exercise will be expressed in the metabolic equivalent value (MET) according to accepted standards [23]. The exposure of vigorous to extreme exercise (MET ≥ 6) will be reported [18]. Consumption of alcohol, recreational drugs, coffee, cola and smoking will be reported in units per day.

Table 1.

Hazard period for potential trigger factors

  Hazard time
Smoking
1 hour
Alcohol consumption
24 hours
Recreational drugs
4 hours
Consumption of coffee
1 hour
Consumption of cola
1 hour
Valsalva maneuver
1 hour
Fever
24 hours
Positive and negative emotions
1 hour
Anger
1 hour
Physical exercise
1 hour
Sexual activity 2 hours

Clinical evaluations

Physical examination and additional investigations

Baseline standard clinical evaluation will be performed during admission or visit to the outpatient departments. Clinical signs, symptoms and duration of stroke and TIA will be reported. Stroke severity will be assessed by the National Institutes of Health Stroke Scale (NIHSS) [24] and modified Rankin scale (mRS) [25], both measured at admission and at discharge.

Furthermore standard clinical evaluation will include a physical examination and laboratory measures. Additional file 2: Table S1 shows an overview of all investigations. Additional investigational DNA will be stored for future genetic analysis. Patients must consent for storage of the DNA and future analysis.

Classification of TIA or stroke: etiology and neuro-imaging

Etiology of ischemic stroke and TIA will be classified according to the TOAST criteria [26], Causative Classification System of ischemic stroke (CCS) [27] and ASCO [28]. Etiology of intracerebral hemorrhage will be classified as hypertensive (deep or infratentorial hemorrhage in combination with hypertension), arteriovenous malformation, cavernous angioma, coagulopathy (iatrogenic or bleeding disorder), central nervous system infection, septic embolism, vasculitis, substance abuse or unknown (cryptogenic, multiple causes and incomplete evaluation) [29]. Etiology will be based on neuro-imaging, medical history and the use of medication.

All patients will undergo neuro-imaging and additionally CT-angiography, MR-angiography or ultrasound will be performed according to standard clinical care. CT- and MRI-scans will be reviewed centrally in the Radboud University Medical Centre. TIA and ischemic strokes will be classified according to arterial territory and addition will be classified as lacunar or territorial. Whenever hemorrhagic transformation of an ischemic stroke has occurred this will be documented.

Intracerebral hemorrhage will be classified as infratentorial (brainstem or cerebellar) or supratentorial hemorrhage (lobar, deep or ventricular) with or without ventricular involvement. Lobar hemorrhage will be further subdivided into frontal, temporal, parietal or occipital. In addition hematoma volume will be calculated according to the A*B*C/2 method [30].

Course of the disease

Furthermore the course of the disease during admission will be reported, including medication use, (intra-venous or arterial) thrombolysis or other treatments and complications. Whenever a patient develops a recurrent vascular event (ischemic stroke, intracerebral hemorrhage, TIA, myocardial infarction) or post-stroke epilepsy this will be reported. In addition the course of stroke severity during admission will be assessed by mRS and NIHSS.

Measures - follow up

All patients will be followed every 6 months by telephone interview. Patients will undergo standardized structured questionnaires on the occurrence of post-stroke epilepsy and recurrent vascular events (TIA, ischemic stroke, intracerebral hemorrhage, myocardial infarction, CABG, PTCA and other revascularization procedures). In addition they will be asked about well-documented potentially modifiable vascular risk factors (diabetes mellitus, hypertension, dyslipidemia and smoking), the use of medication and pregnancies. In case a patient has died, this information will be retrieved from the general practitioner.

As measure of functional outcome mRS and Barthel Index [31] will be administered and patients will be asked about their occupation or education. Occupation will be categorized into 4 skills levels (ranging from first = primary education only to fourth = tertiary education with university degree or equivalent), according to the ISCO-88 (International Standard Classification of Occupations) [32].

Neuropsychological investigation

An extensive neuropsychological investigation will be administered in all patients six weeks and 1 year after the index event (using parallel versions for some tests that are susceptible to test-retest effects). Controls will be assessed only once at baseline.

The cognitive assessment includes tests used in other large scale epidemiologic studies covering the main cognitive domains [33,34]. Table 2 shows an overview of all cognitive tests performed. Global cognitive functioning will be assessed by the Mini Mental State Examination [35]. Episodic memory will be measured using the 3-trial version of the Rey Auditory Verbal Learning Test [36], which includes a delayed recall and a delayed recognition trial, assessing the acquisition and retention of new verbal information. To assess speed of information processing, Parts I and II of the Stroop Color Word test [37] and the Letter-Digit Substitution Task (an adaptation of the Digit-Symbol Substitution Test [38]) will be used. Visuoconstructive ability will be assessed by the copy trial of the Rey Complex Figure Test [39]. With respect to executive functioning, verbal fluency (animal naming, 60 sec) will be used to test response regeneration, the Brixton Spatial Addition Task [40] will be administered as a measure of concept shifting and rule detection, and the Stroop Interference Score [32] will be included as a measure of response inhibition. Furthermore participants will complete the Star Cancellation of the Behavioral Inattention Test, a short screening battery to assess the presence of a visual neglect [41]. Participants will be tested for language deficits by means of the short version of the Token Test, validated for the Dutch language [42]. To evaluate attention and working memory we will assess the Digit Span subtest from the Wechsler Adult Intelligence Scale - Fourt Edition [43] and the Paper and Pencil Memory Scanning Task (4 subtasks) [44]. Subjective cognitive complaints will be assessed by the Cognitive Failure Questionnaire [45]. The cognitive assessment will be performed in quiet rooms and administered by trained investigators.

Table 2.

Neuropsychological assessment

Domain Test/questionnaire
Cognitive assessment
 Global cognitive functioning
Mini mental state examination
 Episodic memory
Rey auditory verbal learning test
 Speed of information processing
Stroop color word test
 
Letter-digit substitution task
 Visuoconstruction
Rey complex figure test - copy
 Executive functioning
Animal fluency test
 
Stroop interference score
 
Brixton spatial anticipation test
 Neglect
Star cancellation
 Language deficits
Short token test
 Attention and working memory
Digit span test
 
Paper and pencil memory scanning task
 Subjective cognitive complaints
Cognitive failures questionnaire
Mood and functional outcome
 History of depression
 
 Anxiety and depression
Mini international neuropsychiatric interview
 Fatigue
Checklist on individual strength (CIS20r)
 Quality of life
EQ-5D
 Health status
Stroke impact scale
 
SF-12
 Functional outcome
Modified rankin score
 
Barthel index
  Instrumental activities of daily living

In case cognitive impairment is suspected on the basis of the cognitive screening, relatives will be interviewed on the influence of cognitive performance on daily functioning by means of the IQCODE [46].

In addition to the cognitive screening, questionnaires on mood and functional outcome will be administered. Participants will be screened for a history of depressive symptoms with a standardized questionnaire used in previous large-scale epidemiological studies [47], in which normal reactions to stressful events or normal grief will be excluded. A history of depression is defined as those episodes that require attention of a medical caregiver, including both minor depression and major depressive syndromes as defined by the Research Diagnostic Criteria [48]. Current anxiety and depression will be evaluated by means of the Mini International Neuropsychiatric Interview [49], which is a short diagnostic structured interview based on the DSM-IV. Functional outcome will be assessed by mRS, Barthel Index and Instrumental Activities of Daily Living [50].

Furthermore participants will fill out validated self-report questionnaires on fatigue by means of the Checklist on Individual Strength (CIS20r) [51] and quality of life by means of the EQ-5D [52]. Health status will be assessed by means of the Stroke Impact Scale [53] and SF-12 [54].

Outcome

Primary outcome will be all cause mortality. Depending on date and location of death information on cause of death will be available either from the hospital (in-hospital mortality) or the general practitioner. Secondary measures of outcome will be the composite endpoint of any recurrent vascular event. Vascular events will include TIA, fatal or non-fatal stroke (ischemic or hemorrhagic), myocardial infarction, CABG, PTCA and other revascularization procedures, whichever occurs first. Stroke and TIA will be defined similar as the index event. Myocardial infarction will be defined by ischemic symptoms with electrocardiographic, cardiac biomarker, or pathological evidence of infarction according to the universal definition of myocardial infarction [55].

In addition, the occurrence of post-stroke epilepsy and dementia will be noted as secondary outcome. Epilepsy will be classified and defined according to the International League Against Epilepsy, in which patients with a single seizure associated with an enduring condition that could cause epilepsy, meet the criteria of epilepsy [56,57]. Dementia will be defined according to DSM-5. Finally, tertiary outcome measures will include functional outcome, quality of life and mood disorders.

Whenever an outcome event is suspected with the aid of standardized structured questionnaires, information from the treating physician will be retrieved. This information will be verified and adjudicated by two independent experienced neurologists or, in case of a myocardial infarction, by a cardiologist, who will be blinded for the index event.

Analysis

Cumulative risk of mortality, vascular events and epilepsy will be estimated by Kaplan-Meier survival analysis. In the analysis for epilepsy and vascular events, patients who have died will be censored. Cox proportional hazard analysis will be used to calculate hazard ratios for previous mentioned primary and secondary outcome measures adjusted for the necessary covariates. For the outcome measures vascular events and epilepsy, additional competing risk analysis will be performed in which death will be considered as a competing risk as suggested by Fine and Gray [58,59].

For the analysis containing cognition, raw test scores of each test will be calculated and converted to Z-scores using the mean and standard deviation of the controls. Z-scores of tests assigned to the same cognitive domain will be averaged and used in all subsequent analyses as composite Z-score, or domain score. ANCOVA models will be used to compare means of different variables on each cognitive domain adjusted for the necessary covariates. Linear regression will be used to explore the effect of different variables on each cognitive domain and results will be reported as beta coefficients.

For the analysis including acute trigger factors, a case-crossover design as previous described will be used in which each patient will serve as his or her own control [19]. The ratio of the observed exposure frequency in the hazard period to the expected frequency based on the control period will be used to estimate relative risks.

Hazards ratios, beta coefficients and relative risks will be calculated with their corresponding 95% confidence intervals. Comparisons of continuous variables will be done by Student’s t test or analysis of variance or, in case of skewed distributions which cannot be normalized, corresponding nonparametric tests will be used. Chi-squared test will be used for comparison of categorical variables.

Discussion

ODYSSEY aims to investigate the prognosis after a first-ever young TIA, ischemic stroke or intracerebral hemorrhage in terms of mortality, recurrent vascular events, post-stroke epilepsy and cognitive impairment. Furthermore we intend to determine the prevalence of vascular risk factors in young stroke patients and to relate potential acute trigger factors to the occurrence of a young stroke.

Strong elements of the study are the multicentre prospective design with multiple follow-up assessments. Due to the multicentre approach we will be able to include a large sample size, covering a vast part of the Netherlands including both academic and regional hospitals. The prospective design allows us to obtain an accurate evaluation of the prognosis of young stroke patients, unlike previous small retrospective studies. Furthermore, most previous studies only included patients with an ischemic stroke while we will include patients with a TIA and intracerebral hemorrhage as well. This allows us to study a large part of the spectrum of stroke in young adults. Since patients will only be eligible for inclusion in our study when they have positive brain imaging corresponding with their neurological deficits, ODYSSEY will have a clearly defined population without misclassification. In retrospective studies often a clinical diagnosis was used for defining stroke, leading to a more heterogeneous study population.

Only few small studies among young stroke patients investigated cognitive performance after a young stroke. To our knowledge we are the first to investigate cognitive performance both at baseline as well as 1 year after follow-up. This enables us to describe the course of cognitive performance and potential further decline after an initial assessment. On top of this we will include healthy matched control subjects which will allow for a comparison of cognitive performance with a healthy group.

In addition, this study is the first investigating potential acute trigger factors preceding a stroke or TIA in a non-selected young population. In studies on subarachnoid hemorrhage and ischemic stroke in the elderly, several acute trigger factors already have been identified [13,14]. Due to the case-crossover design we hope to identify possible acute trigger factors, which may give us more insight in the underlying pathophysiological mechanisms of a young stroke. As some of those trigger factors are potentially modifiable, the assessment of acute trigger factors might lead to new prevention strategies in high risk patients.

The estimation of etiology and prognosis is a first step in informing young stroke patients in terms of prognosis. The estimates of recurrent vascular events risks may be used to design future intervention studies on start and withdrawal of secondary prevention in these young patients, as the current prescription of these drugs is based on extrapolated findings from stroke trials in which young patients have been underrepresented or excluded.

In conclusion, ODYSSEY is designed to prospectively determine prognosis after a young stroke and get more insight in etiology of patients with a TIA, ischemic stroke and intracerebral hemorrhage in patients aged 18 through 49 years old in a large sample size.

Abbreviations

TIA: Transient ischemic attack; ODYSSEY: Observational dutch young symptomatic stroke study; CABG: Coronary artery bypass grafting; PTCA: Percutaneous transluminal coronary angioplasty; MET: Metabolic equivalent value; NIHSS: National Institutes of Health Stroke Scale; mRS: modified Rankin Score.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

RA participated in the design and coordination of the study and drafted the manuscript MvA participated in the design and coordination of the study and has been involved in revising the manuscript for important intellectual content NS participated in the design of the study and has been involved in revising the manuscript for important intellectual content PB participated in the design of the study and has been involved in revising the manuscript for important intellectual content GvD participated in the design of the study and has been involved in revising the manuscript for important intellectual content RG participated in the design of the study and has been involved in revising the manuscript for important intellectual content TdH participated in the design of the study and has been involved in revising the manuscript for important intellectual content PdK participated in the design of the study and has been involved in revising the manuscript for important intellectual content KdL participated in the design of the study and has been involved in revising the manuscript for important intellectual content AvN participated in the design of the study and has been involved in revising the manuscript for important intellectual content SV participated in the design of the study and has been involved in revising the manuscript for important intellectual content MvdV participated in the design of the study and has been involved in revising the manuscript for important intellectual content RK participated in the design of the study and has been involved in revising the manuscript for important intellectual content EvD participated in the design of the study and has been involved in revising the manuscript for important intellectual content F-EdL conceived of the study and participated in its design and coordination and has been involved in revising the manuscript for important intellectual content. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2377/14/55/prepub

Supplementary Material

Additional file 1

Definition of well-documented and less-well documented modifiable risk factors.[55,60-65].

Click here for file (25.9KB, docx)
Additional file 2: Table S1

Overview of investigations.

Click here for file (11.6KB, docx)

Contributor Information

Renate M Arntz, Email: Renate.Arntz@radboudumc.nl.

Mayte E van Alebeek, Email: Mayte.vanalebeek@radboudumc.nl.

Nathalie E Synhaeve, Email: n.synhaeve@elisabeth.nl.

Paul J Brouwers, Email: P.brouwers@mst.nl.

Gert W van Dijk, Email: G.v.dijk@cwz.nl.

Rob A Gons, Email: Rob.gons@catharina-ziekenhuis.nl.

Tom den Heijer, Email: T.denheijer@sfg.nl.

Paul LM de Kort, Email: P.d.kort@elisabeth.nl.

Karlijn F de Laat, Email: K.delaat@hagaziekenhuis.nl.

Anouk G van Norden, Email: AvanNorden@amphia.nl.

Sarah E Vermeer, Email: Svermeer@rijnstate.nl.

Maureen J van der Vlugt, Email: Maureen.vandervlugt@radboudumc.nl.

Roy PC Kessels, Email: Roy.Kessels@radboudumc.nl.

Ewoud J van Dijk, Email: Ewoud.vandijk@radboudumc.nl.

Frank-Erik de Leeuw, Email: Frankerik.deleeuw@radboudumc.nl.

References

  1. Kissela BM, Khoury JC, Alwell K, Moomaw CJ, Woo D, Adeoye O, Flaherty ML, Khatri P, Ferioli S, De Los Rios La Rosa F, Broderick JP, Kleindorfer DO. Age at stroke: temporal trends in stroke incidence in a large, biracial population. Neurology. 2012;79(17):1781–1787. doi: 10.1212/WNL.0b013e318270401d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Nedeltchev K, der Maur TA, Georgiadis D, Arnold M, Caso V, Mattle HP, Schroth G, Remonda L, Sturzenegger M, Fischer U, Baumgartner RW. Ischaemic stroke in young adults: predictors of outcome and recurrence. J Neurol Neurosurg Psychiatry. 2005;76(2):191–195. doi: 10.1136/jnnp.2004.040543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Rutten-Jacobs LC, Arntz RM, Maaijwee NA, Schoonderwaldt HC, Dorresteijn LD, van Dijk EJ, de Leeuw FE. Long-term mortality after stroke among adults aged 18 to 50 years. JAMA. 2013;309(11):1136–1144. doi: 10.1001/jama.2013.842. [DOI] [PubMed] [Google Scholar]
  4. Arntz R, Rutten-Jacobs L, Maaijwee N, Schoonderwaldt H, Dorresteijn L, van Dijk E, de Leeuw FE. Post-stroke epilepsy in young adults: a long-term follow-up study. PLoS One. 2013;8(2):e55498. doi: 10.1371/journal.pone.0055498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Schaapsmeerders P, Maaijwee NA, van Dijk EJ, Rutten-Jacobs LC, Arntz RM, Schoonderwaldt HC, Dorresteijn LD, Kessels RP, De Leeuw FE. Long-Term Cognitive Impairment After First-Ever Ischemic Stroke in Young Adults. Stroke; a j cereb circ. 2013. [DOI] [PubMed]
  6. Fens M, van Heugten CM, Beusmans GH, Limburg M, Haeren R, Kaemingk A, Metsemakers JF. Not as transient: patients with transient ischaemic attack or minor stroke experience cognitive and communication problems; an exploratory study. Eur J Gen Pract. 2012. [DOI] [PubMed]
  7. Pendlebury ST, Wadling S, Silver LE, Mehta Z, Rothwell PM. Transient cognitive impairment in TIA and minor stroke. Stroke; a j cereb circ. 2011;42(11):3116–3121. doi: 10.1161/STROKEAHA.111.621490. [DOI] [PubMed] [Google Scholar]
  8. Luijendijk HJ, Stricker BH, Wieberdink RG, Koudstaal PJ, Hofman A, Breteler MM, Tiemeier H. Transient ischemic attack and incident depression. Stroke; a j cereb circ. 2011;42(7):1857–1861. doi: 10.1161/STROKEAHA.110.604405. [DOI] [PubMed] [Google Scholar]
  9. George MG, Tong X, Kuklina EV, Labarthe DR. Trends in stroke hospitalizations and associated risk factors among children and young adults, 1995–2008. Ann Neurol. 2011;70(5):713–721. doi: 10.1002/ana.22539. [DOI] [PubMed] [Google Scholar]
  10. Kittner SJ, Singhal AB. Premature atherosclerosis: A major contributor to early-onset ischemic stroke. Neurology. 2013;80(14):1272–1273. doi: 10.1212/WNL.0b013e31828ab3a4. [DOI] [PubMed] [Google Scholar]
  11. De Los Rios F, Kleindorfer DO, Khoury J, Broderick JP, Moomaw CJ, Adeoye O, Flaherty ML, Khatri P, Woo D, Alwell K, Eilerman J, Ferioli S, Kissela BM. Trends in substance abuse preceding stroke among young adults: a population-based study. Stroke; a j cereb circ. 2012;43(12):3179–3183. doi: 10.1161/STROKEAHA.112.667808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Ferro JM, Massaro AR, Mas JL. Aetiological diagnosis of ischaemic stroke in young adults. Lancet Neurol. 2010;9(11):1085–1096. doi: 10.1016/S1474-4422(10)70251-9. [DOI] [PubMed] [Google Scholar]
  13. Koton S, Tanne D, Bornstein NM, Green MS. Triggering risk factors for ischemic stroke: a case-crossover study. Neurology. 2004;63(11):2006–2010. doi: 10.1212/01.WNL.0000145842.25520.A2. [DOI] [PubMed] [Google Scholar]
  14. Vlak MH, Rinkel GJ, Greebe P, van der Bom JG, Algra A. Trigger factors and their attributable risk for rupture of intracranial aneurysms: a case-crossover study. Stroke; a j cereb circ. 2011;42(7):1878–1882. doi: 10.1161/STROKEAHA.110.606558. [DOI] [PubMed] [Google Scholar]
  15. Meschia JF, Lojacono MA, Miller MJ, Brott TG, Atkinson EJ, O’Brien PC. Reliability of the questionnaire for verifying stroke-free status. Cerebrovasc Dis (Basel, Switz) 2004;17(2–3):218–223. doi: 10.1159/000075794. [DOI] [PubMed] [Google Scholar]
  16. Verhage F. Intelligentie en leeftijd bij volwassenen en bejaarden [English: Intelligence and age in adults] Assen: Van Gorcum; 1964. [Google Scholar]
  17. Goldstein LB, Adams R, Alberts MJ, Appel LJ, Brass LM, Bushnell CD, Culebras A, DeGraba TJ, Gorelick PB, Guyton JR, Hart RG, Howard G, Kelly-Hayes M, Nixon JV, Sacco RL. Primary prevention of ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council: cosponsored by the Atherosclerotic Peripheral Vascular Disease Interdisciplinary Working Group; Cardiovascular Nursing Council; Clinical Cardiology Council; Nutrition, Physical Activity, and Metabolism Council; and the Quality of Care and Outcomes Research Interdisciplinary Working Group. Circulation. 2006;113(24):e873–e923. doi: 10.1161/01.STR.0000223048.70103.F1. [DOI] [PubMed] [Google Scholar]
  18. Mittleman MA, Maclure M, Tofler GH, Sherwood JB, Goldberg RJ, Muller JE. Triggering of acute myocardial infarction by heavy physical exertion. Protection against triggering by regular exertion. Determinants of Myocardial Infarction Onset Study Investigators. N Engl J Med. 1993;329(23):1677–1683. doi: 10.1056/NEJM199312023292301. [DOI] [PubMed] [Google Scholar]
  19. Maclure M. The case-crossover design: a method for studying transient effects on the risk of acute events. Am J Epidemiol. 1991;133(2):144–153. doi: 10.1093/oxfordjournals.aje.a115853. [DOI] [PubMed] [Google Scholar]
  20. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–1070. doi: 10.1037//0022-3514.54.6.1063. [DOI] [PubMed] [Google Scholar]
  21. Bamford J, Sandercock P, Dennis M, Burn J, Warlow C. Classification and natural history of clinically identifiable subtypes of cerebral infarction. Lancet. 1991;337(8756):1521–1526. doi: 10.1016/0140-6736(91)93206-O. [DOI] [PubMed] [Google Scholar]
  22. Mittleman MA, Maclure M, Sherwood JB, Mulry RP, Tofler GH, Jacobs SC, Friedman R, Benson H, Muller JE. Triggering of Acute Myocardial-Infarction Onset by Episodes of Anger. Circulation. 1995;92(7):1720–1725. doi: 10.1161/01.CIR.92.7.1720. [DOI] [PubMed] [Google Scholar]
  23. Weuve J, Kang JH, Manson JE, Breteler MM, Ware JH, Grodstein F. Physical activity, including walking, and cognitive function in older women. JAMA. 2004;292(12):1454–1461. doi: 10.1001/jama.292.12.1454. [DOI] [PubMed] [Google Scholar]
  24. Brott T, Adams HP Jr, Olinger CP, Marler JR, Barsan WG, Biller J, Spilker J, Holleran R, Eberle R, Hertzberg V, Rorick M, Moomaw C, Walker M. Measurements of acute cerebral infarction: a clinical examination scale. Stroke; a j cereb circ. 1989;20(7):864–870. doi: 10.1161/01.STR.20.7.864. [DOI] [PubMed] [Google Scholar]
  25. van Swieten JC, Koudstaal PJ, Visser MC, Schouten HJ, van Gijn J. Interobserver agreement for the assessment of handicap in stroke patients. Stroke; a j cereb circ. 1988;19(5):604–607. doi: 10.1161/01.STR.19.5.604. [DOI] [PubMed] [Google Scholar]
  26. Bousser MG, Amarenco P, Chamorro A, Fisher M, Ford I, Fox K, Hennerici MG, Mattle HP, Rothwell PM. Rationale and design of a randomized, double-blind, parallel-group study of terutroban 30 mg/day versus aspirin 100 mg/day in stroke patients: The prevention of cerebrovascular and cardiovascular events of ischemic origin with terutroban in patients with a history of ischemic stroke or transient ischemic attack (PERFORM) study. Cerebrovasc Dis (Basel, Switz) 2009;27(5):509–518. doi: 10.1159/000212671. [DOI] [Google Scholar]
  27. Ay H, Furie KL, Singhal A, Smith WS, Sorensen AG, Koroshetz WJ. An evidence-based causative classification system for acute ischemic stroke. Ann Neurol. 2005;58(5):688–697. doi: 10.1002/ana.20617. [DOI] [PubMed] [Google Scholar]
  28. Amarenco P, Bogousslavsky J, Caplan LR, Donnan GA, Hennerici MG. New approach to stroke subtyping: the A-S-C-O (phenotypic) classification of stroke. Cerebrovasc Dis (Basel, Switz) 2009;27(5):502–508. doi: 10.1159/000210433. [DOI] [PubMed] [Google Scholar]
  29. Rutten-Jacobs LC, Maaijwee NA, Arntz RM, Schoonderwaldt HC, Dorresteijn LD, van der Vlugt MJ, van Dijk EJ, de Leeuw FE. Long-term risk of recurrent vascular events after young stroke: The FUTURE study. Ann Neurol. 2013;74(4):592–601. doi: 10.1002/ana.23953. [DOI] [PubMed] [Google Scholar]
  30. Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, Khoury J. The ABCs of measuring intracerebral hemorrhage volumes. Stroke; a j cereb circ. 1996;27(8):1304–1305. doi: 10.1161/01.STR.27.8.1304. [DOI] [PubMed] [Google Scholar]
  31. Collin C, Wade DT, Davies S, Horne V. The Barthel ADL Index: a reliability study. Int Disabil Stud. 1988;10(2):61–63. doi: 10.3109/09638288809164103. [DOI] [PubMed] [Google Scholar]
  32. Elias P. Occupational Classification (ISCO-88): Concepts, Methods, Reliability, Validity and Cross-National Comparability. 20. OECD Publishing; 1997. [Google Scholar]
  33. de Groot JC, de Leeuw FE, Oudkerk M, van Gijn J, Hofman A, Jolles J, Breteler MM. Cerebral white matter lesions and cognitive function: The Rotterdam Scan Study. Ann Neurol. 2000;47(2):145–151. doi: 10.1002/1531-8249(200002)47:2<145::AID-ANA3>3.0.CO;2-P. [DOI] [PubMed] [Google Scholar]
  34. Moller JT, Cluitmans P, Rasmussen LS, Houx P, Rasmussen H, Canet J, Rabbitt P, Jolles J, Larsen K, Hanning CD, Langeron O, Johnson T, Lauven PM, Kristensen PA, Biedler A, van Beem H, Fraidakis O, Silverstein JH, Beneken JE, Gravenstein JS. Long-term postoperative cognitive dysfunction in the elderly ISPOCD1 study. ISPOCD investigators. International Study of Post-Operative Cognitive Dysfunction. Lancet. 1998;351(9106):857–861. doi: 10.1016/S0140-6736(97)07382-0. [DOI] [PubMed] [Google Scholar]
  35. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of psychiatric research. 1975;12(3):189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
  36. Van der Elst W, van Boxtel MP, van Breukelen GJ, Jolles J. Rey’s verbal learning test: normative data for 1855 healthy participants aged 24–81 years and the influence of age, sex, education, and mode of presentation. J Int Neuropsychol Soc. 2005;11(3):290–302. doi: 10.1017/S1355617705050344. [DOI] [PubMed] [Google Scholar]
  37. Van der Elst W, Van Boxtel MP, Van Breukelen GJ, Jolles J. The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment. 2006;13(1):62–79. doi: 10.1177/1073191105283427. [DOI] [PubMed] [Google Scholar]
  38. Wechsler D. The Psychometric Tradition - Developing the Wechsler Adult Intelligence Scale. Contemp Educ Psychol. 1981;6(2):82–85. doi: 10.1016/0361-476X(81)90035-7. [DOI] [Google Scholar]
  39. Osterrieth P. Le test de copie d’une figure complexe: Contribution a l’ étude de la perception et de la mémoire. Arch de Psychol. 1944;30:206–353. [Google Scholar]
  40. van den Berg E, Nys GM, Brands AM, Ruis C, van Zandvoort MJ, Kessels RP. The Brixton Spatial Anticipation Test as a test for executive function: validity in patient groups and norms for older adults. J Int Neuropsychol Soc. 2009;15(5):695–703. doi: 10.1017/S1355617709990269. [DOI] [PubMed] [Google Scholar]
  41. Wilson B, Cockburn J, Halligan P. Development of a behavioral test of visuospatial neglect. Arch Phys Med Rehabil. 1987;68(2):98–102. [PubMed] [Google Scholar]
  42. Van Dongen HRvH F, Verhey-Stol FW, Luteijn F. Investigation of aphasia by means of the token test: Several psychometric characteristics and an appraisal of an abbreviated form. Ned Tijdschr Psychol. 1974;28(9):3–647. [Google Scholar]
  43. Wechsler Adult Intelligence Scale—Fourth Edition (WAIS–IV) [ http://www.pearsonassessments.com/HAIWEB/Cultures/en-us/Productdetail.htm?Pid=015-8980-808]
  44. Sternberg S. Memory-scanning: mental processes revealed by reaction-time experiments. Am Sci. 1969;57(4):421–457. [PubMed] [Google Scholar]
  45. Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The Cognitive Failures Questionnaire (CFQ) and its correlates. Br J Clin Psychol. 1982;21(Pt 1):1–16. doi: 10.1111/j.2044-8260.1982.tb01421.x. [DOI] [PubMed] [Google Scholar]
  46. Jorm AF, Jacomb PA. The Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): socio-demographic correlates, reliability, validity and some norms. Psychol Med. 1989;19(4):1015–1022. doi: 10.1017/S0033291700005742. [DOI] [PubMed] [Google Scholar]
  47. de Groot JC, de Leeuw FE, Oudkerk M, Hofman A, Jolles J, Breteler MM. Cerebral white matter lesions and depressive symptoms in elderly adults. Arch Gen Psychiatry. 2000;57(11):1071–1076. doi: 10.1001/archpsyc.57.11.1071. [DOI] [PubMed] [Google Scholar]
  48. Williams JB, Spitzer RL. Research diagnostic criteria and DSM-III: an annotated comparison. Arch Gen Psychiatry. 1982;39(11):1283–1289. doi: 10.1001/archpsyc.1982.04290110039007. [DOI] [PubMed] [Google Scholar]
  49. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59(Suppl 20):22–33. quiz 34–57. [PubMed] [Google Scholar]
  50. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9(3):179–186. [PubMed] [Google Scholar]
  51. Vercoulen JH, Swanink CM, Fennis JF, Galama JM, van der Meer JW, Bleijenberg G. Dimensional assessment of chronic fatigue syndrome. J Psychosom Res. 1994;38(5):383–392. doi: 10.1016/0022-3999(94)90099-X. [DOI] [PubMed] [Google Scholar]
  52. EuroQol--a new facility for the measurement of health-related quality of life. The EuroQol Group. Health Policy. 1990;16(3):199–208. doi: 10.1016/0168-8510(90)90421-9. [DOI] [PubMed] [Google Scholar]
  53. Duncan PW, Bode RK, Min Lai S, Perera S. Rasch analysis of a new stroke-specific outcome scale: The Stroke Impact Scale. Arch Phys Med Rehabil. 2003;84(7):950–963. doi: 10.1016/S0003-9993(03)00035-2. [DOI] [PubMed] [Google Scholar]
  54. Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med care. 1996;34(3):220–233. doi: 10.1097/00005650-199603000-00003. [DOI] [PubMed] [Google Scholar]
  55. Thygesen K, Alpert JS, White HD, Jaffe AS, Apple FS, Galvani M, Katus HA, Newby LK, Ravkilde J, Chaitman B, Clemmensen PM, Dellborg M, Hod H, Porela P, Underwood R, Bax JJ, Beller GA, Bonow R, Van der Wall EE, Bassand JP, Wijns W, Ferguson TB, Steg PG, Uretsky BF, Williams DO, Armstrong PW, Antman EM, Fox KA, Hamm CW. Joint E.S.C.A.A.H.A.W.H.F.T.F.f.t.R.o.M.I. Universal definition of myocardial infarction. Circulation. 2007;116(22):2634–2653. doi: 10.1161/CIRCULATIONAHA.107.187397. [DOI] [PubMed] [Google Scholar]
  56. Berg AT, Berkovic SF, Brodie MJ, Buchhalter J, Cross JH, van Emde BW, Engel J, French J, Glauser TA, Mathern GW, Moshe SL, Nordli D, Plouin P, Scheffer IE. Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE Commission on Classification and Terminology, 2005–2009. Epilepsia. 2010;51(4):676–685. doi: 10.1111/j.1528-1167.2010.02522.x. [DOI] [PubMed] [Google Scholar]
  57. Fisher RS, van Emde BW, Blume W, Elger C, Genton P, Lee P, Engel J Jr. Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE) Epilepsia. 2005;46(4):470–472. doi: 10.1111/j.0013-9580.2005.66104.x. [DOI] [PubMed] [Google Scholar]
  58. Gray RJ. A Class of K-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk. Ann Stat. 1988;16(3):1141–1154. doi: 10.1214/aos/1176350951. [DOI] [Google Scholar]
  59. Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94(446):496–509. doi: 10.1080/01621459.1999.10474144. [DOI] [Google Scholar]
  60. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. WMJ : official publication of the State Med Soc Wis. 1998;97(9):20–21. 24–25, 27–37. [PubMed] [Google Scholar]
  61. Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med j Br Diabet Assoc. 1998;15(7):539–553. doi: 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S. [DOI] [PubMed] [Google Scholar]
  62. American Diabetes A. Standards of medical care in diabetes–2012. Diabetes care. 2012;35(Suppl 1):S11–S63. doi: 10.2337/dc12-s011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, Germano G, Grassi G, Heagerty AM, Kjeldsen SE, Laurent S, Narkiewicz K, Ruilope L, Rynkiewicz A, Schmieder RE, Struijker Boudier HA, Zanchetti A, Vahanian A, Camm J, De Caterina R, Dean V, Dickstein K, Filippatos G, Funck-Brentano C, Hellemans I, Kristensen SD, McGregor K, Sechtem U, Silber S, Tendera M. 2007 Guidelines for the management of arterial hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC) Eur Heart J. 2007;28(12):1462–1536. doi: 10.1093/eurheartj/ehm236. [DOI] [PubMed] [Google Scholar]
  64. Whitworth JA. World Health Organization ISoHWG: 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003;21(11):1983–1992. doi: 10.1097/00004872-200311000-00002. [DOI] [PubMed] [Google Scholar]
  65. Headache Classification Committee of the International Headache S. The International Classification of Headache Disorders, 3rd edition (beta version) Cephalalgia. 2013;33(9):629–808. doi: 10.1177/0333102413485658. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1

Definition of well-documented and less-well documented modifiable risk factors.[55,60-65].

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Additional file 2: Table S1

Overview of investigations.

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