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. Author manuscript; available in PMC: 2016 Jun 30.
Published in final edited form as: J Neurol. 2014 Jan 30;261(3):533–545. doi: 10.1007/s00415-013-7231-5

Cortisol levels and the severity and outcomes of acute stroke: a systematic review

Amanda Jayne Barugh 1,2,, Paul Gray 3, Susan Deborah Shenkin 4,5, Alasdair Maurice Joseph MacLullich 6,7, Gillian Elizabeth Mead 8
PMCID: PMC4928702  EMSID: EMS67910  PMID: 24477489

Abstract

Studies in non-stroke patients have shown an association between dysregulation of the hypothalamic–pituitary–adrenal axis and morbidity and mortality. We conducted a systematic review to evaluate cortisol levels in acute stroke and their associations with outcome. We searched MEDLINE and EMBASE for articles up to April 2013 and PsychINFO for articles up to July 2013, using the keywords “cortisol” and “stroke” and associated terms or synonyms. We included studies published in peer-reviewed journals that recruited 10 or more participants and measured cortisol at least once in the first year following stroke. Data were extracted regarding cortisol levels, including changes over time and their relationship to stroke severity, and outcome. Of 11,240 abstracts, 101 full texts were obtained and 48 fulfilled our inclusion criteria. Cortisol levels were high in the first week after stroke in the majority of studies (26 studies, n = 1,340). Higher cortisol was associated with dependency (8/11 studies, n = 822), delirium (5/6 studies, n = 269) depression (3/5 studies n = 117) and mortality (8/10 studies, n = 856). Five studies adjusted for stroke severity; one found an association between higher cortisol and dependency, and three found an association between higher cortisol and mortality. Cortisol levels are high for at least 7 days after stroke. Elevated cortisol after stroke is associated with dependency, morbidity, and mortality; however, there is insufficient evidence to conclude that these relationships are independent of stroke severity.

Keywords: Cortisol, Stroke, Systematic review, Outcome

Introduction

Activation of the hypothalamic–pituitary–adrenal (HPA) axis in the context of acute, severe illness generally results in elevated cortisol levels. This has physiological benefits, including the mobilization of glucose from the liver and adipose tissue and the potentiation of cardiovascular output [1, 2]. More severe illness stimulates correspondingly higher cortisol concentrations [3, 4]. The HPA axis is entrained on the circadian cycle, and exhibits diurnal variation, with a characteristic peak of cortisol being produced in the early morning and a nadir occurring in the late afternoon. Some studies have found that greater severity of illness is associated with the loss of diurnal variation in cortisol [5].

Ageing is associated with a tendency towards dysregulation of the HPA axis [6], leading to higher and more prolonged elevations of cortisol following stress. Neurodegenerative disease is also associated with dysregulation of the HPA axis [7]. Following an acute stroke, prolonged HPA axis activation may also occur for reasons specific to stroke. These reasons include cytokine release following neuronal injury [8], and that the stroke lesion itself may destroy HPA inhibitory areas of the brain in the frontal or medial temporal lobes [9].

In conditions other than stroke there is some evidence that prolonged exposure to high cortisol levels is neurotoxic. For example, brain atrophy and cognitive impairments are often found in Cushing’s disease (ACTH-secreting adenoma resulting in sustained high cortisol). Similarly, patients taking long-term oral corticosteroids (for a variety of chronic conditions) have been shown to have smaller hippocampal volumes compared with controls [10]. Prolonged activation of the HPA axis has also been associated with adverse clinical consequences including delirium [11, 12], dementia [13], and death [14].

Although several studies have investigated what happens to the HPA axis after stroke [9, 15, 16], there are no systematic reviews. It is important to know whether HPA axis activation, or indeed downregulation, is associated with adverse outcomes in patients with stroke because treatments that impact on the HPA axis may thus affect outcomes.

This systematic review was performed with three main goals. First, we aimed to document comprehensively the evidence on cortisol levels and changes over time following stroke. Second, we wished to determine if there are any associations between cortisol levels and stroke severity. Third, we wanted to determine if there are associations between cortisol levels and stroke outcomes–specifically dependency [defined as the degree of functional impairment, measured by, for example, the Modified Rankin Scale (mRS), Barthel Index (BI), Katz Index (KI) or the Glasgow Outcome Scale (GOS)], morbidity, and mortality-independent of stroke severity.

Methods

Searches were conducted in MEDLINE (from 1966) and EMBASE (from 1980) in April 2013 and in PsychINFO in July 2013. Searches used the keywords “stroke” and “cortisol” and their synonyms and were not limited by language (Appendix 1). Well-validated search strings, including more than 50 terms, were used to perform the search. Where possible, translations of papers were obtained (possible for one Chinese, one Russian and two Spanish papers, not possible for one Polish, one Bosnian and one Serbian paper). Results were exported to EndNote X4 and duplicates removed. Every title and abstract was read and full texts for all potentially relevant papers were obtained. Inclusion and exclusion criteria were then applied. Reference lists of the included papers and relevant review articles were scrutinized for further references.

Inclusion criteria

  1. Full text publication in peer-reviewed journal;

  2. Recruited 10 or more participants after stroke [ischaemic, haemorrhagic or subarachnoid hemorrhage (SAH)], older than 18 years;

  3. Reported cortisol levels [measured in blood, saliva, cerebrospinal fluid (CSF) or urine] at least once in the first year following stroke

Exclusion criteria

  1. Published only in abstract form;

  2. Contained no primary data (for example reviews, editorials);

  3. Dissertations or case reports;

  4. Did not report data for stroke participants separately from other participants

Quality assessment

We used the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement to assess quality [17]. This consists of 22 items, with each item scoring one point, thus the maximum score is 22 points. One author (AB) rated all of the studies (Appendix 2).

Data extraction

Data were extracted using standardized data collection forms. Data concerning study design, participant characteristics, and outcome measures was extracted. AB and PG independently extracted data for the included studies. Any uncertainties were discussed with a third reviewer (GM).

Data synthesis

The data lacked homogeneity, in particular with respect to the timing and method of cortisol measurement, and so were not suitable for meta-analysis. We tabulated the results (Table 1) and provide summaries of each study below.

Table 1. Table of characteristics of studies included in systematic review (listed alphabetically).

First author and
country of origin
Number of
participants
Mean age
(Years)
Type of stroke Cortisol
measurement
Mean blood
cortisol level at
baseline, ± SD*
(nmol/l)
Association
between cortisol
and outcome
Correlation coefficient,
between cortisol and
outcome (when available)
Study quality
(STROBE 0–22)
Longitudinal studies
Anne [22], Finland 51 67 Cerebral infarction Blood 600 ± 200 if dead at 6 months
400 ± 200 if alive at 6 months
Mean cortisol on day 2 and 7 significantly correlated to stroke severity, mRS, and mortality Severity r = 0.44 mRS r = 0.37
Mortality RR = 5.4 am and 5.8 pm
20
Bendel [53], Finland 30 52 Subarachnoid haemorrhage Blood (SST) 790 ± 300 Serum cortisol not associated with bleeding severity NR 20
Christensen [60], Denmark 172 74 Cerebral infarction (90 %) and haemorrhage (10 %) Blood 550 Serum cortisol associated with stroke severity and positive correlation with higher mRS and mortality Severity r = 0.45 mRS r = 0.18
Mortality OR = 1.9
21
Davalos [31], Spain 104 66 Cerebral infarction and haemorrhage Blood and urine Figures not stated High free urinary cortisol predicted poor outcome, independent of age, sex, and nutritional status at admission NR 18
Espiner [32], New Zealand 18 54 Subarachnoid haemorrhage Blood 520 No data NR 19
Fassbender [35], Germany 23 72 Cerebral infarction Blood Figures not stated Cortisol not correlated with stroke severity or with delirium NR 18
Feibel [55], USA 65 62 Cerebral infarction, brainstem infarction and subarachnoid haemorrhage Blood 440 CI
340 BI
717 SAH
High cortisol correlated with hypertension and disability NR 17
Giordano [33], Italy 32 52 Subarachnoid haemorrhage Blood Figures not stated No data NR 12
Gustafson [25], Sweden 83 75 Cerebral infarction Blood (DST) 450 High cortisol correlated with delirium NR 21
Harney [21], USA 12 61 Cerebral infarction Blood (DST) Figures not stated Abnormal DST associated with depression at 1 week Depression r = 0.49 17
Huttner [73], Germany 20 68 Cerebral haemorrhage Blood 483 No data NR 19
Jenkins [37], UK 18 52 Subarachnoid haemorrhage Blood 535 No data NR 12
Johansson [43], Sweden 12 74 Cerebral infarction Blood 500 Cortisol levels correlated significantly to the severity of paresis Severity r = 0.68 to −0.73 18
July [57], Indonesia 44 52 Subarachnoid haemorrhage Blood 632 normal ECG
803 abnormal ECG
High morning cortisol levels are associated with ECG abnormalities ECG abnormality (day 2) OR = 2.56
ECG abnormality (day 4) OR = 1.08
14
Laures-Gore [74], USA 31 57 Cerebral infarction Saliva Not applicable No relationship between cortisol levels and aphasia severity Aphasia r = 0.26 17
Marklund [26], Sweden 88 71 Cerebral infarction Blood 450 High cortisol levels correlated with severe functional impairment, disorientation, and mortality NR 20
Michalaki [62], Greece 10 69 Cerebral infarction Blood (SST) 760 No data NR 18
Murros [41], Finland 101 61 Cerebral infarction Blood 590 Cortisol levels correlated significantly to the severity of paresis (on day 1 and at 3 months) and to the mRS Severity r = 0.41 (day 1), r = 0.22 (3 months) mRS r = 0.25 18
Neidert [47], Switzerland 281 68 Cerebral infarction Blood 480 Cortisol levels correlated positively with functional outcome functional outcome and mortality Functional outcome OR = 1.0
Mortality OR = 1.62
21
O’Neill [19], UK 23 80 Blood 306 good outcome
752 poor outcome
Cortisol levels independently related to outcome NR 20
Poll [18], Germany 22 47 Subarachnoid haemorrhage Blood 540 Abnormal cortisol (elevated baseline and loss of diurnal rhythm) correlated with lower GCS, longer ICU stay and less favorable outcome GCS r = −0.56
LOS (ICU) r = 0.65
Outcome r = −0.67
19
Reding [38], USA 75 68 Cerebral infarction Blood (DST) Figures not stated Abnormal DST associated with higher depression scores and more severe strokes NR 16
Schwartz [34], Germany 22 58 Cerebral infarction Blood 270 Cortisol not related to outcome NR 17
Slowik [44], Poland 70 69 Cerebral infarction Blood Figures not stated Cortisol correlated with stroke severity (−0.42), and associated with higher mortality rates Severity r = −0.42 18
Theodoropoulou [45],Greece 17 No data Cerebral infarction Blood 230 No correlation between cortisol and stroke severity or outcome NR 15
Urra [48], Spain 46 74 Cerebral infarction and haemorrhage Blood Figures not stated Cortisol was positively correlated with the NIHSS score (0.31) NIHSS r = 0.31 19
Zetterling [70], Sweden 55 59 Subarachnoid haemorrhage Blood 1,119 (Median) Cortisol not related to outcome NR 18
Zierrath [36], USA 111 57 Cerebral infarction Blood Figures not stated Cortisol positively correlated with stroke severity (0.72) Severity r = 0.72 21
Cross-sectional cohort studies (listed alphabetically)
Ahmed [72], Sweden 53 66 Cerebral infarction Saliva Not applicable Mean cortisol positively correlated with blood pressure NR 21
Atanassova [29], Bulgaria 33 58 Cerebral infarction Blood 484 No data NR 18
Burd [28], Russia 31 NA Cerebral infarction and haemorrhage Blood Not stated No data NR 7
Dimopoulou [54], Greece 33 57 Cerebral infarction and haemorrhage Blood (SST) 410 No data NR 17
Dziedzic [49], Poland 59 58 Cerebral infarction Blood 590 lower tertile
590 middle tertile
550 upper tertile
High cortisol associated with low serum albumin NR 15
Elwan [30], Egypt 51 55 Cerebral infarction Blood and CSF 12.29 µg % No data NR 6
Finklestein [40], USA 25 72 Cerebral infarction and haemorrhage Blood (DST) Not applicable Abnormal DST associated with depression NR 14
Harms [50], Germany 66 72 Cerebral infarction 24 h urine Not applicable Cortisol positively correlated with stroke volume but not severity Stroke volume r = 0.32 21
Korsic [58], Croatia 28 68 Cerebral infarction and haemorrhage 24 h urine Not applicable Cortisol positively associated with mortality NR 13
Lueken [61], Germany 32 57 Cerebral infarction Saliva Not applicable No data NR 20
Mangieri [71], Brazil 35 52 Subarachnoid haemorrhage Blood 870 No data NR 14
Olsson [24], Sweden 62 75 Cerebral infarction Blood (DST) 440 High cortisol post-DST associated with disorientation but not associated with limb paresis or depression NR 18
Olsson [39], Sweden 20 78 Cerebral infarction Blood (DST) and 24 h urine Figures not stated Cortisol predicted functional outcome and correlated with presence of limb, paresis and disorientation Paresis r = 0.59 Disorientation r = 0.41 19
Olsson [27], Sweden 16 71 Cerebral infarction Blood (SST and DST) 390 Abnormal DST correlated with presence of limb paresis and delirium Paresis r = 0.62
Delirium r = 0.66
18
Parenti [51], Italy 60 60 Subarachnoid haemorrhage Blood 660 Cortisol positively correlated with Fisher’s scale Severity r = 0.43 19
Selakovic [69], Yugoslavia 53 No data Cerebral infarction CSF Not applicable No data NR 16
Shin [52], Korea 25 56 Subarachnoid haemorrhage Saliva Not applicable Nighttime cortisol negatively correlated with Fisher CT grade NR 17
Szczudlik [42], Poland 22 61 Cerebral infarction Blood Figures not stated Cortisol positively correlated with stroke severity Severity r = −0.63 16
Weant [20], USA 16 58 Subarachnoid haemorrhage Blood (SST) 620 (median) Cortisol positively correlated with length of hospital stay and length of ICU stay NR 20
Zhao [23], China 37 66 Cerebral infarction and cerebral haemorrhage Blood 1,120 (haemorrhagic) 900 (ischemic) No data NR 13

BI brainstem infarction, CI cerebral infarction, DST dexamethasone suppression test, GCS glasgow coma scale, ICU intensive care unit, LOS length of stay, mRS modified Rankin scale, NIHSS National Institutes of Health Stroke Scale, NR not reported, RR risk ratio, SST short Synacthen test, SD standard deviation, UK United Kingdom, USA United States of America

*

Baseline cortisol refers to the first random cortisol sample taken after stroke

Results

We scrutinized 11,240 titles and abstracts, and retrieved 101 full texts (Fig. 1). Forty-eight studies recruiting 2,340 participants (median 36, range 10–281) met the inclusion criteria. The mean participant age range was from 47 years (absolute range 25–69) [18] to 80 years (absolute range 75–92) [19]. The proportion of males ranged from 13 [20] to 92 % [21]. Twenty-eight studies used a longitudinal methodology and the remaining 20 were cross-sectional studies.

Fig. 1. Schema of systematic review.

Fig. 1

Measurement of cortisol

Of the 48 included studies, 41 (n = 2,105) measured cortisol in blood (Table 1). Eleven studies (n = 428) used either the dexamethasone suppression test (DST) or short synacthen test (SST) (which included a random, pre-test measure of blood cortisol), 16 (n = 1,214) measured cortisol in blood in the early morning, and 13 (n = 532) measured diurnal cortisol levels. The remaining seven studies measured salivary (n = 146), urinary (=94) and/or cerebrospinal fluid (CSF) (n = 53) cortisol. There was variability in time from stroke to first sample being taken (median 1 day, interquartile range (IQR) 1–3 days, range 0–111 days).

Cortisol levels and changes over time following stroke

Cortisol after stroke

Cortisol levels in blood (n = 1,953) at baseline (i.e., at the time of recruitment) following admission to the hospital ranged from 200 [22] to 1,120 nmol/L [23]. The majority of studies (27 studies, n = 1,373) found that cortisol levels were high (outside of the reference range) within the first week after stroke onset. Eight studies compared baseline cortisol levels to those in controls. The majority of controls were healthy, age-matched individuals; one study included both healthy controls and controls admitted with nonstroke, acute medical conditions [24]. Three of these studies found no significant difference (n = 187) [2527], four (n = 163) [24, 28, 29] found significantly higher cortisol levels in stroke patients, and one study (n = 25) found that male, but not female, stroke patients had significantly higher cortisol levels compared to controls [30].

Changes in cortisol over time

Twelve studies (n = 541) measured cortisol at two or more time points on different (non-consecutive) days and reported changes over time. Five studies (n = 264) reported that cortisol fell [18, 26, 3133], with two of these (n = 106) [26, 32] reporting cortisol levels within the reference range at follow-up (4 days and 2 weeks, respectively) in all participants. One study (n = 22) reported low (below the reference range) serum cortisol in all subjects after stroke for the duration of the study period (9 days on average) [34]. Two studies found persistent elevation of cortisol over the duration of their study period, one of which studied participants up to day 5 after stroke (n = 23) and one up to 1 month after stroke (n = 111) [35, 36]. Four studies (n = 121) reported that cortisol was within the normal reference range over the entire study period (ranging from 7 days to 3 months).

Dexamethasone suppression test (DST) after stroke

Eight studies (n = 311) used the DST (median day of first test; day 5 post-stroke, IQR 2.8–5.8 days); all reported non-suppression of cortisol in stroke participants [21, 24, 25, 27, 3740]. This persisted over time in the three studies that repeated the test (median day of second test; day 17.5 post-stroke, IQR 3.5–28 days).

Diurnal variation in cortisol after stroke

Ten studies (nine using blood and one using saliva) analyzed diurnal variation in cortisol. Five studies measured cortisol twice during a 24 h period (morning and evening) and the remainder took measurements four times during a 24 h period (generally early morning, mid-morning, early evening and just before bed). Five (n = 196) found that diurnal variation was lost in those with more severe strokes (as determined by a validated scoring scale, for example the Scandinavian Stroke Scale), but preserved in those with more minor strokes [18, 22, 29, 41, 42]. Two studies (n = 82) [43, 44] found that diurnal variation was lost in those with high baseline cortisol, but did not assess whether this was associated with stroke severity. One study (n = 22) [34] found that diurnal variation was lost between days 1 and 7 after stroke, and one study found that over half (17/22) of their participants had an abnormal diurnal variation in the first week after stroke, but at 1 month, this change persisted in only two participants [37]. Finally, one study that recruited only those with mild stroke (n = 17) [45] found that diurnal variation was preserved in all participants.

Associations between cortisol and stroke severity

Sixteen studies investigated the associations between cortisol and stroke severity (of these 16, four included only those with an SAH).

Ischaemic or haemorrhagic stroke

Stroke severity was measured using a variety of rating scales, however the most frequently used scales were the National Institutes of Health Stroke Scale (NIHSS) and the Scandinavian Stroke Scale (SSS). Eleven studies (n = 966) found a statistically significant correlation between elevated cortisol levels and more severe strokes [22, 27, 35, 36, 38, 39, 41, 44, 4648] and one (n = 25) found an association (not statistically significant) [40] (Appendix 2). The remaining four (n = 204) found no association [24, 45, 49, 50].

Subarachnoid haemorrhage

Subarachnoid haemorrhage severity was measured using the Hunt–Hess score, the Fisher score or the Glasgow Coma Scale score. Of the four studies involving only participants with an SAH, one (n = 51) found a small correlation between higher morning cortisol levels and Glasgow Coma Scale [22], one (n = 60) found a correlation between higher cortisol and the Fisher scale [51], one (n = 25) found a negative correlation between cortisol concentrations and the Fisher CT grade [52], and one (n = 30) found no correlation between urinary cortisol and the Hunt-Hess score [53].

Associations between cortisol and stroke outcome (including dependency, morbidity, and mortality)

Cortisol, dependency, and length of stay

Eleven studies (n = 942) reported the association between cortisol and dependency, of which eight (n = 822) found that a higher cortisol level was associated with more dependency [26, 41, 43, 44, 46, 47, 54, 55], and three studies (n = 120) did not [34, 35, 38] (Table 1). Of the eight studies that found an association, seven measured cortisol within 24 h of stroke onset, as did two out of the three studies that found no association. Three studies reported the relationship between cortisol and length of stay; two (n = 38) reported that a higher cortisol level was associated with a longer length of intensive care unit stay [18, 20], and one of these also found an association between higher cortisol level and overall length of stay [20]. The third study (n = 25) found no relationship between cortisol and length of hospital stay, however, this study was in a rehabilitation hospital, and so cortisol was measured relatively late (mean of 37 days) after stroke [40].

Cortisol and morbidity

Five studies examined the relationship between cortisol and delirium. Three (n = 187) found a correlation between elevated cortisol and delirium [2527], one (n = 20) found a non-significant trend towards this association [39] and one (n = 23) found that a high adrenocorticotrophic hormone level (ACTH) was associated with delirium [35] (see Table 1 for summary of effect sizes). Five studies examined the relationship between cortisol and depression. Three studies (n = 117) found a correlation between an abnormal DST and depression [38, 40, 45], one (n = 12) found a non-significant association between higher cortisol and depression [21], and one (n = 62) found no relationship [24]. Finally, one (n = 66) study investigated the relationship between cortisol and infection and found a positive correlation [50], two studies (n = 131) investigated the relationship between cortisol and blood pressure and also found a positive correlation [56], and one study (n = 44) found an association between electrocardiographic abnormalities after SAH and elevated morning cortisol levels [57].

Cortisol and mortality

Of the 10 studies (n = 895) [19, 20, 22, 26, 41, 44, 46, 47, 56, 58] that examined the relationship between cortisol and mortality, all found that elevated cortisol was associated with increased mortality (see Table 1 for summary of effect sizes); this was not statistically significant in two of the studies (n = 39) [19, 20].

Cortisol and outcome, independent of stroke severity

Only five studies adjusted for stroke severity when examining the relationship between cortisol and outcome. Three studies (n = 504) [22, 46, 47] found that cortisol was independently associated with death after stroke, and two out of three (n = 453) also found higher cortisol to be independently associated with poorer functional outcome [46, 47]. The remaining two studies (n = 215) found that cortisol was not an independent predictor of outcome after adjusting for stroke severity [31, 36].

Methodological quality

The STROBE score [59] ranged from 6 to 21, with a median score of 18 (Appendix 2). The lower quality studies (particularly those with a STROBE score of <10) did not report the relationship between cortisol and stroke outcome, and so these papers have had little influence on the main conclusions of this review.

Discussion

This is the first systematic review of studies of cortisol levels in relation to stroke severity and outcomes. Forty-eight studies met our inclusion criteria. The methodological quality of these studies was generally high. Cortisol levels were high (above the reference range) in the first 7 days after stroke onset. Those studies including participants with less severe strokes (not requiring critical care) found a decrease in cortisol over the first week following a stroke. By 3 months, cortisol levels were generally in the normal reference range. We are not able to conclude what the trajectory of cortisol is between these two time points (7 days and 3 months), as few studies investigated this aspect. Diurnal variation in cortisol appears to be lost in those with more severe strokes, but is preserved in those with more minor strokes. Elevated cortisol levels were correlated with increased stroke severity in the majority of studies that explored this association. Studies tended to find that elevated cortisol levels were associated with higher dependency, length of hospital stay, depression, delirium, and mortality.

There are some limitations in the included studies: none of the included studies reported sample size calculations and several studies only measured cortisol on one occasion rather than exploring changes over time, meaning that short-term physiological stressors such as acute illness may have contributed significantly to the cortisol levels reported. Furthermore, all the studies recruited participants from a hospital setting, meaning that results may not be applicable to those with minor strokes. Ten studies [19, 31, 37, 40, 42, 43, 45, 46, 6062] included only those able to provide informed consent, meaning that those with aphasia or delirium would have been excluded. This could have reduced the generalizability of the findings, especially since delirium has been found to be associated with higher cortisol levels [25]. Finally, we must consider the possibility that the results presented are confounded by unmeasured variables, for example an association between cortisol and stroke may reflect a causal relationship with a hormone, neurotransmitter, or other physiological parameter that was not measured in any of the included studies.

Our systematic review has several strengths. Our protocol had pre-defined inclusion and exclusion criteria. Screening and data extraction were performed independently by two authors, reducing the risk of transcription and data extraction error or omission. Systematic search strategies were used, and so it is unlikely that relevant articles were missed.

Some limitations of this review should be acknowledged. We did not search conference proceedings; however, this was deliberate, as we have found that crucial details are often missing from these publications. Only six abstracts of conference proceedings would have met our inclusion criteria. Interestingly, from the limited information available in these proceedings, it would appear than none of them reported negative findings, with four out of six reporting abnormalities in cortisol levels after SAH [6366], one reporting evening cortisol levels above the reference range after ischaemic stroke [67], and one reporting an association between high cortisol and stroke severity [68]. We included ischaemic and haemorrhagic strokes, including SAH. It could be argued that as SAH has a different aetiology and risk factor profile than ischaemic and haemorrhagic stroke, it should have been excluded; however, we have taken care to report the findings from those studies including SAH separately. Furthermore, SAH does have several factors in common with other stroke types, for example, sudden onset of disease and long-term neurological sequelae. We were not able to perform a meta-analysis because the studies were too heterogeneous, particularly with respect to the timing and method of cortisol sampling. Finally, publication bias may have favored publication of those papers showing a positive association between cortisol and stroke, leading us to overestimate the strength of the association.

Previous non-systematic, narrative reviews have found a correlation between cortisol and functional impairment and mortality after stroke [9, 15, 16], however, two of these previous papers included discussions about cortisol after stroke only as part of a broader review of endocrine or of cognitive changes [15, 16], and the third, while providing a more extensive overview, was published in 1997, and consequently includes only 17 studies [9]. Our systematic review provides a more comprehensive overview of all studies to date and synthesizes the evidence.

Overall, if cortisol dysregulation was shown to be an independent predictor of poor outcome after stroke, even after correcting for stroke severity, this would provide justification for further investigation of this mechanism. While we have found some evidence of an independent association between cortisol and functional outcome, and between cortisol and mortality after stroke, we do not know what the direction of causality is (no studies were able to measure cortisol pre-stroke, and so it is possible that those with poorer outcomes may have had higher cortisol levels before stroke onset, for example). Additional larger studies designed to examine the complex relationship between the HPA axis and stroke would be required before trials to target cortisol dysregulation after stroke could be justified.

Conclusions

Cortisol levels are high for at least 7 days after stroke and are within the normal range in the majority of people by 3 months. Elevated cortisol after stroke is associated with greater dependency, morbidity, and mortality. However, there is currently insufficient evidence to conclude that these relationships are independent of stroke severity. Understanding the mechanism underlying these relationships may allow the development of therapeutic interventions to improve outcomes after stroke and merits further investigation.

Supplementary Material

Supplementary data

Acknowledgments

A.J.B was funded by a Research Training Fellowship from the Dunhill Medical Trust (grant number: RTF17/0111). A.J.B, S.D.S and A.M.J.M are members of the University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross-council Lifelong Health and Wellbeing (LLHW) initiative. Funding from the BBSRC, EPSRC, ESRC and MRC is gratefully acknowledged.

Appendix 1

Search strategies

Part A: stroke search strings (Cochrane stroke group)

  1. Cerebrovascular disorders/

  2. Exp basal ganglia cerebrovascular disease/

  3. Exp brain ischemia/

  4. Exp carotid artery diseases/

  5. Cerebrovascular accident/

  6. Exp brain infarction/

  7. Exp cerebrovascular trauma/

  8. Exp hypoxia–ischemia, brain/

  9. Exp intracranial arterial diseases/

  10. Intracranial arteriovenous malformations/

  11. Exp “Intracranial Embolism and Thrombosis”/

  12. Exp intracranial hemorrhages/

  13. Vasospasm, intracranial/

  14. Vertebral artery dissection/

  15. Aneurysm, ruptured/

  16. Brain injuries/

  17. Brain injury, chronic/

  18. Exp carotid arteries/

  19. Endarterectomy, carotid/or endarterectomy/

  20. *Heart septal defects, atrial/

  21. *Atrial fibrillation/

  22. (Stroke or poststroke or post-stroke or cerebrovasc$ or brain vasc$ or cerebral vasc$ or cva$ or apoplex$ or isch?emi$ attack$ or tia$1 or neurologic$ deficit$ or SAH or AVM).tw.

  23. [(Brain$ or cerebr$ or cerebell$ or cortical or vertebrobasilar or hemispher$ or intracran$ or intracerebral or infratentorial or supratentorial or MCA or anterior circulation or posterior circulation or basal ganglia) adj10 (isch?emi$ or infarct$ or thrombo$ or emboli$ or occlus$ or hypox$ or vasospasm or obstruction or vasculopathy)].tw.

  24. [(Lacunar or cortical) adj5 infarct$].tw.

  25. [(Brain$ or cerebr$ or cerebell$ or intracerebral or intracran$ or parenchymal or intraventricular or infratentorial or supratentorial or basal gangli$ or subarachnoid or putaminal or putamen or posterior fossa) adj10 (haemorrhage$ or hemorrhage$ or haematoma$ or hematoma$ or bleed$)].tw.

  26. [(Brain or cerebral or intracranial or communicating or giant or basilar or vertebral artery or berry or saccular or ruptured) adj10 aneurysm$].tw.

  27. (Vertebral artery dissection or cerebral art$ disease$).tw.

  28. ((Brain or intracranial or basal ganglia or lenticulostriate) adj10 [vascular adj5 (disease$ or disorder or accident or injur$ or trauma$ or insult or event)]).tw.

  29. [(Isch?emic or apoplectic) adj5 (event or events or insult or attack$)].tw.

  30. [(Cerebral vein or cerebral venous or sinus or sagittal) adj5 thrombo$].tw.

  31. (CVDST or CVT).tw.

  32. [(Intracranial or cerebral art$ or basilar art$ or vertebral art$ or vertebrobasilar or vertebral basilar) adj5 (stenosis or isch?emia or insufficiency or arteriosclero$ or atherosclero$ or occlus$)].tw.

  33. [(Venous or arteriovenous or brain vasc$) adj5 malformation$].tw.

  34. [(Brain or cerebral) adj5 (angioma$ or hemangioma$ or haemangioma$)].tw.

  35. Carotid$.tw.

  36. (Patent foramen ovale or PFO).tw.

  37. [(Atrial or atrium or auricular) adj fibrillation].tw.

  38. Asymptomatic cervical bruit.tw.

  39. Exp aphasia/or anomia/or hemiplegia/or hemianopsia/or exp paresis/or deglutition disorders/or dysarthria/or pseudobulbar palsy/or muscle spasticity/

  40. (Aphasi$ or apraxi$ or dysphasi$ or dysphagi$ or deglutition disorder$ or swallow$ disorder$ or dysarthri$ or hemipleg$ or hemipar$ or paresis or paretic or hemianop$ or hemineglect or spasticity or anomi$ or dysnomi$ or acquired brain injur$ or hemiball$).tw.

  41. [(unilateral or visual or hemispatial or attentional or spatial) adj10 neglect].tw.

  42. or/1-41

Part B: Cortisol search strings

  • 43.

    Hydrocortisone/

  • 44.

    Cortisol.tw.

  • 45.

    S-cortisol.tw.

  • 46.

    S?cortisol.tw.

  • 47.

    Serum-cortisol.tw.

  • 48.

    Cortisone.tw.

  • 49.

    Corticosteroid.tw.

  • 50.

    Glucocorticoid*.tw.

  • 51.

    Epicortisol.tw.

  • 52.

    Stress response.tw.

  • 53.

    Hypercortisol?emia.tw.

  • 54.

    or/43-53

Appendix 2

See Appendix 2, Table 2

Table 2. Results of quality assessment.

# Criteria Number (%) of papers
meeting criteria
1 Title and abstract 18 (38)
Introduction
2 Backround/rationale 48 (100)
3 Objectives 41 (85)
Methods
4 Study design 47 (98)
5 Setting 41 (81)
6 Participants 43 (90)
7 Variables 44 (92)
8 Data sources/measurement 48 (100)
9 Bias 36 (75)
10 Study size 1 (2)
11 Quantitative variables 42 (88)
12 Statistical methods 42 (88)
Results
13 Participants 40 (83)
14 Descriptive data 40 (83)
15 Outcome data 46 (96)
16 Main results 41 (85)
17 Other analyses 42 (88)
Discussion
18 Key results 47 (98)
19 Limitations 23 (48)
20 Interpretation 46 (96)
21 Generalizability 36 (75)
Other information
22 Funding 24 (50)

Footnotes

Conflicts of interest On behalf of all authors, the corresponding author states that there are no conflicts of interest.

Ethical standard This manuscript does not contain new clinical studies or patient data.

Contributor Information

Amanda Jayne Barugh, Department of Geriatric Medicine, University of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4SA, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.

Paul Gray, Department of Geriatric Medicine, University of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4SA, UK.

Susan Deborah Shenkin, Department of Geriatric Medicine, University of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4SA, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.

Alasdair Maurice Joseph MacLullich, Department of Geriatric Medicine, University of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4SA, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.

Gillian Elizabeth Mead, Department of Geriatric Medicine, University of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4SA, UK.

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