Skip to main content
Erschienen in: BMC Neurology 1/2017

Open Access 01.12.2017 | Research article

Selection bias in clinical stroke trials depending on ability to consent

verfasst von: Benjamin Hotter, Lena Ulm, Sarah Hoffmann, Mira Katan, Joan Montaner, Alejandro Bustamante, Andreas Meisel

Erschienen in: BMC Neurology | Ausgabe 1/2017

Abstract

Background

Clinical trials are the hallmark of evidence-based medicine, but recruitment is often challenging, especially in stroke trials investigating patients not being able to give informed consent. In some nations, ethics committees will not approve of inclusion in a clinical study via consent of a legal representative. The ethical dilemma of including or excluding those patients has not been properly addressed, as there is little data on the effect of stroke characteristics on the ability to give informed consent.

Methods

To examine differences between patients able and unable to consent at inclusion to an acute stroke trial, we conducted a post-hoc analysis of monitoring records from a multicentric interventional trial. These records listed patients who gave informed consent by themselves and those who needed a legal representative to do so. This exemplary STRAWINSKI trial aimed at improving stroke outcome by biomarker-guided antibiotic treatment of stroke associated pneumonia and included patients within 40 h after stroke onset, suffering from MCA infarctions with an NIHSS score > 9 at admission. Standard descriptive and associative statistics were calculated to compare baseline characteristics and outcome measures between patients who were able to consent and those who were not.

Results

We identified the person giving consent in 228 out of 229 subjects. Patients with inability to consent were older (p < 0.01), suffered from more left-hemispheric (p < 0.01) and more severe strokes (NIHSS, p < 0.01), were more likely to die during hospitalisation (p < 0.01) or have unfavourable outcome at discharge (mRS, p < 0.01), to develop fever (p < 0.01) and tended to be more susceptible to infections (p = 0.06) during the acute course of the disorder.

Conclusions

Demographics, stroke characteristics and outcomes significantly affect stroke patients in their ability to consent. Where selection criteria and primary outcome measures of a trial are significantly affected by ability to consent, excluding patients unable to consent might be unethical.

Trial registration

Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12883-017-0989-9) contains supplementary material, which is available to authorized users.
Abkürzungen
BI
Barthel-Index
CAR
Cardioembolism as defined by TOAST
CI
Confidence Interval
IQR
Interquartile Range
IST-3
Third international stroke trial
LAD
Large artery disease as defined by TOAST
MCA
Middle cerebral artery
mRS
modified Rankin Scale
MWU
Mann-Whitney U test
NIHSS
National Institute of Health Stroke Scale
OR
Odds Ratio
OTH
Other as defined by TOAST
PCTus
Ultrasensitive Procalcitonin
SAE
Serious Adverse Event
SAP
SAP
SD
Standard Deviation
STRAWINSKI
Stroke Adverse Outcome Is Associated with Nosocomial Infections Trial
SVD
Small vessel disease as defined by TOAST
TOAST
Trial of ORG 10172 in Acute Stroke Treatment
UNK
Unknown as defined by TOAST

Background

Clinical trials often suffer from low recruitment with subsequently prolonged duration of the trials [1]. Previous work has identified special obstacles stroke research has to face. Not only is the time window of intervention limited by pathophysiological circumstances, but also, ability of patients to provide informed consent is frequently impeded due to disabilities caused by the stroke itself [24]. Regulatory approaches to clinical research with patients unable to give informed consent themselves differ substantially between countries [5, 6]. In the USA, regulations differ strongly between federal states, with some of them not having formal criteria of what constitutes a sufficiently authorized legal representative, leaving interpretation to investigators and ethics committees. In some countries – like Germany – the authorization to obtain informed consent by a legal representative might even be declined totally in one federal state, but granted in another. Some legislators - for instance in the USA and United Kingdom – now provide a framework for exceptions or “waivers” of consent to address this issue, frequently with a list of criteria the target population and the trial need to meet [7, 8]. Usually these include the condition studied to be acutely life-threatening, with unsatisfactory treatment options, frequently or regularly rendering the patients unable to consent. While the incapacity to consent is widely recognized as a major obstacle as well as an ethical dilemma of clinical trials in critical care, neurology and cognitive decline [9, 10], quantitative data characterising consenting and influencing parameters in these settings are very limited [11, 12]. The third international stroke trial (IST-3) reported different stroke severity and outcome based on the method of consent, but stands alone in the field of stroke research to do so [13].
This issue is of major significance, since some treatments can only be studied in patients severely affected by stroke. Patients who are only mildly affected have a higher probability to recover without any intervention [14]. The ability to consent is strongly linked to age, the severity and localisation of stroke [3, 15]. Furthermore, stroke-related complications such as post-stroke infections mainly occur in severely affected patients. Dysphagia and Central Nervous System-injury induced immune depression syndrome are the main risk factors for stroke-associated pneumonia (SAP) [1618]. The frequency of SAP strongly correlates with the National Institute of Health Stroke Scale (NIHSS) score at admission [19].
To investigate possible selection bias introduced into clinical trials based on ability to give informed consent we analysed data from the “STRoke Adverse outcome is associated WIth NoSocomial Infections” (STRAWINSKI) trial. The trial was designed to analyse treatment-guidance for antibiotics by the use of ultrasensitive Procalcitonin (PCTus) as a marker for bacterial infections. For STRAWINSKI regulatory authorities granted permission to include patients by a legal representative (usually a next-of-kin) as well as by personal informed consent. Based on an explorative analysis we aimed at identifying differences between both groups in order to estimate the bias introduced when only including patients able to give informed consent personally.

Methods

The dataset from the STRAWINSKI trial

The NeuroCure Clinical Research Center Berlin initiated a multicentric, randomized, open-label treatment guidance trial on application of antibiotics with PCTus and blinded outcome assessment called “STRoke Adverse outcome is associated With NoSocomial Infections” (STRAWINSKI). Primary outcome of this trial was the proportion of patients with an mRS of 0–4 at day 90 after stroke [20]. Further information can be found in the published protocol and at clinicaltrials.​gov (NCT01264549) [21]. STRAWINSKI was reviewed and approved by the appropriate ethics committees (Charité - Universitätsmedizin Berlin [reference EA1/267/10], State Medical Association of Brandenburg [reference AS 30(a)/2011], Kantonale Ethikkommission Zuerich [reference 2013–0195], Hospital Vall d’ Hebron Clinical Research Ethics Committee [reference TFS-ANT-2012-01]).
Screening and recruitment was performed at ten sites, eight of which in the federal states of Berlin and Brandenburg (Germany); one in Barcelona (Spain), and one in Zurich (Switzerland). Patients admitted to the respective emergency ward or stroke unit were screened for trial eligibility based on selection criteria listed in Table 1. If selection criteria were satisfied, and patients or their legal representative agreed to participation, patients were randomized to either standard medical care or additional daily PCTus measurements with a recommendation to treat with antibiotics in case PCTus > 0.05 ng/ml. An array of demographic parameters, clinical and paraclinical stroke characteristics and outcome information was collected. Patients were followed up for a total of 6 months with assessment of the primary endpoint (modified Rankin Scale, mRS) analysed at 3 months after stroke. For more protocol details please refer to the published trial protocol [21].
Table 1
Major selection criteria of the STRAWINSKI trial
Domain
Criterion
Age
≥ 18
Event to inclusion delay
≤ 40 h
Index Event
Non-lacunar MCA infarct with an NIHSS score > 9
Further criteria
- no CT evidence of intracerebral haemorrhage or lacunar infarct
- informed consent strictly personal or by legal representative
- no use of antibiotics within last 10 days
- pre-stroke mRS of <4, life expectancy > 3 months

Data monitoring and analysis

All collected data for the Case Report Forms were monitored. The mode of informed consent (personal by patient or by a legal representative) was assessed during monitoring in a pseudonymized fashion. We calculated descriptive statistics of patients’ demographics, their basic stroke characteristics and outcome measures. We furthermore compared the subgroups of the cohort based on their ability to consent with Fisher’s exact test, Chi-square, Mann-Whitney-U or with an independent samples t-test, and correlated ordinal variables with ability to consent using Somers’ Δ. For multivariate testing, we conducted logistic regression analysis using the stepwise backward method for variable selection to avoid omitted variable error. Statistics were calculated using SPSS (Version 23, IBM, Armonk, NY).

Results

We analysed 229 patients in the STRAWINSKI intention-to-treat-cohort (Fig. 1) [20], for all of which but one subject, information about the mode of consent (120 in person vs. 108 by legal representative) was available. Mean age of the cohort was 76.2 years ±11.3 Standard Deviation [SD], 55.5% of the participants were female. Prior to stroke most patients (75.3%) lived at home, which is reflected by a median pre-stroke mRS of 0 (Interquartile Range [IQR] 0–2). At the time of admission, patients had a median NIHSS score of 14 (IQR 12–18). A relevant proportion of 21.8% presented with a reduced state of vigilance. An infarct could be demonstrated via imaging in 96.3% during their hospitalisation. Half of the patients underwent intravenous thrombolysis (50.7%). Cardiac embolism was the most abundant cause (50.2%) for stroke in our cohort (Table 2).
Table 2
Basic demographics and stroke characteristics for the total cohort as well as patients able (strictly personal) and unable to consent (legal representative)
 
Total cohort
Strictly personal
Legal representative
P-value
OR (95% CI)
n (%)
229 (100)
120 (52.6)
108 (47.4)
  
Age, mean (SD)
76.2 (11.3)
73.9 (11.0)
78.9 (11.3)
0.001
t-test
Sex, % female
55.5
50.0
61.1
0.110
1.6 (0.9–2.7)
Pre-stroke mRS, median (IQR)
0 (0–2)
0 (0–1)
1 (0–3)
0.001
MWU
Pre-stroke living, n (%)
   
Somers‘Δ
0.304
 Independent at home
171 (75.3)
102 (86.4)
68 (63.0)
  
 Requiring help, but at home
34 (15.0)
12 (10.2)
22 (20.4)
  
 Nursing or retirement home
22 (9.7)
4 (3.4)
18 (16.7)
  
Admission NIHSS, median (IQR)
14 (12–18)
13 (11–15)
17 (14–21)
< 0.001
MWU
Consciousness, n (%)
   
Somers’Δ
0.340
 Awake
179 (78.2)
107 (89.2)
71 (65.7)
  
 Somnolent
46 (20.1)
13 (10.8)
33 (30.6)
  
 Comatose
4 (1.7)
0 (0.0)
4 (3.7)
  
Thrombolysis, n (%)
116 (50.7)
65 (54.2)
51 (47.2)
0.353
0.8 (0.5–1.3)
TOAST, n (%)
   
0.044
χ2
 LAD
58 (26)
33 (28.2)
24 (22.9)
  
 CAR
112 (50.2)
51 (43.5)
61 (58.1)
  
 SVD
6 (2.7)
6 (5.1)
0 (0.0)
  
 OTH
4 (1.8)
3 (2.6)
1 (1.0)
  
 UNK
43 (19.3)
24 (20.5)
19 (18.1)
  
Dysphagia, n (%)
164 (77)
95 (81.9)
69 (71.9)
0.100
0.6 (0.3–1.1)
Imaging proof of infarction, n (%)
181 (96.3)
91 (97.8)
89 (94.7)
0.444
0.4 (0.1–2.1)
 MCA infarction left
97 (42.9)
31 (26.3)
66 (61.7)
< 0.001
4.5 (2.6–8.0)
 MCA infarction right
121 (53.5)
83 (70.3)
37 (34.6)
< 0.001
0.2 (0.1–0.4)
 Brainstem lesion
7 (3.1)
7 (5.9)
0 (0.0)
0.015
0.9 (0.9–1.0)
 Other location
15 (6.6)
7 (5.9)
8 (7.4)
0.791
1.3 (0.4–3.6)
Randomized to PCT-guidance
112 (49.3)
57 (47.9)
55 (50.9)
0.374
0.9 (0.5–1.5)
All p-values given are calculated using Fisher’s exact test except where explicitly stated a Somers’ Δ correlation, Mann-Whitney-U (MWU) or an independent samples t-test; Abbreviations: mRS modified Rankin Scale, NIHSS National Institute of Health Stroke Scale score, MCA middle cerebral artery, TOAST Trial of ORG 10172 in Acute Stroke Treatment criteria, LAD Large Artery Disease, CAR cardiac embolism, SVD small vessel disease, OTH other cause, UNK unknown etiology
When looking at those measures grouped by ability to consent, the following differences appeared: Patients able to consent were younger (p = 0.001), had a better pre-stroke functional reserve as measured by mRS and were more likely to live at home (p = 0.001 and Somers’ Δ = 0.304, p < 0.001, respectively). They were less severely affected by stroke at admission (p < 0.001) measured by NIHSS scores (Fig. 2). Patients able to consent were less likely to suffer from reduced vigilance (Somers’ Δ = 0.340, p < 0.001). Furthermore, they had a less predominant cardioembolic etiology profile than their counterparts (p = 0.044). Patients with a middle cerebral artery (MCA) infarction of the left hemisphere were less likely to be able to consent (p < 0.001, Odds Ratio [OR] 4.5 95% Confidence Interval [CI] 2.6–8.0), whereas MCA affection of the right hemisphere was a strong positive predictor of ability to consent (p < 0.001, OR 0.2 95% CI 0.1–0.4). It is worth to note, that patients were evenly randomized in terms of ability to consent in the exemplary trial (p = 0.374, OR 0.9 95% CI 0.5–1.5).
The subjects in our cohort did persist to have a median mRS of 5 (4–5) at their time of discharge, also reflected by a low median Barthel Index (BI) of 10 (IQR 0–35). A majority of patients (72.9%) were transferred to rehabilitation centers after stroke unit care, only 7.1% were discharged home. During hospitalisation, 28.5% of patients suffered from pneumonia, 11% of urinary tract infections, 1.3% of sepsis, and 24.1% of other infections like respiratory tract infections not fulfilling criteria for pneumonia. A total of 43.6% of patients suffered from any infection. Fever was recorded in 67.3%, 33.6% showed leucocytosis and 8.5% of the patients suffered from delirium. A proportion of 10.8% required mechanical ventilation during their hospitalisation.
In terms of outcome measures, patients able to consent had a significantly better outcome at discharge measured by mRS and BI (p < 0.001 each). Patients unable to consent were more likely to die (p 0.004, OR 12.1 95% CI 1.5–96.5) and to develop fever (p 0.005, OR 2.3 95% CI 1.3–4.1). There was a trend to a higher rate of infections in patients unable to consent (p = 0.061, OR 1.7 95% CI 1.0–2.9). Further details on outcome parameters in the total cohort as well as grouped by ability to consent are given in Table 3.
Table 3
Outcome measures for the total cohort as well as patients able (strictly personal) and unable to consent (legal representative)
 
Total cohort
Strictly personal
Legal representative
P-value
OR (95% CI)
Discharge mRS, median (IQR)
5 (4–5)
4 (4–5)
5 (4–5)
< 0.001
MWU
Discharge BI, median (IQR)
10 (0–35)
25 (10–40)
5 (0–20)
< 0.001
MWU
Discharge location, n (%)
   
Somers‘Δ
0.094
 Home
16 (7.8)
8 (7.3)
8 (8.5)
  
 Rehabilitation hospital
164 (80.4)
92 (84.4)
71 (75.5)
  
 Other acute care hospital
17 (8.3)
8 (7.3)
9 (9.6)
  
 Nursing home
7 (3.4)
1 (0.9)
6 (6.4)
  
Death in hospital, n (%)
11 (4.8)
1 (0.8)
10 (9.3)
0.004
12.1 (1.5–96.5)
mRS at 3 months, median (IQR)
4 (3–6)
4 (3–5)
5 (4–6)
< 0.001
MWU
Any SAE, n (%)
68 (29.7)
33 (27.5)
35 (32.4)
0.469
1.3 (0.7–2.2)
During hospitalisation, n (%)
     
 Fever
152 (67.3)
69 (59.0)
83 (76.9)
0.005
2.3 (1.3–4.1)
 Delirium
19 (8.5)
8 (6.8)
11 (10.4)
0.472
1.6 (0.6–4.1)
 Leukocytosis
71 (33.6)
36 (32.1)
34 (34.7)
0.770
1.1 (0.6–2.0)
 Mechanical ventilation
24 (10.8)
11 (9.4)
13 (12.4)
0.521
1.4 (0.6–3.2)
Infection, n (%)
99 (43.6)
44 (37.3)
54 (50.0)
0.061
1.7 (1.0–2.9)
 Pneumonia
65 (28.5)
32 (26.9)
33 (30.6)
0.560
1.2 (0.7–2.1)
 Sepsis
3 (1.3)
2 (1.7)
1 (0.9)
1.0
0.5 (0.1–6.1)
 Urinary tract infection
25 (11.0)
12 (10.1)
13 (12.0)
0.676
1.2 (0.5–2.8)
 Other infection
55 (24.1)
26 (21.8)
28 (25.9)
0.533
1.3 (0.7–2.3)
All p-values given are calculated using Fisher’s exact test except where explicitly stated a Mann-Whitney-U-test (MWU) or Somers’ Δ correlation; Abbreviations: mRS modified Rankin Scale, BI Barthel Index, SAE serious adverse event, PCT procalcitonin
We then conducted a multivariate logistic regression analysis in which we included every variable that showed a p-value ≤ 0.1 in univariate analysis. Using the stepwise backward method we found several variables independently associated to ability to consent. These variables express severity of stroke (NIHSS score, p = 0.001; BI p = 0.059), pre-stroke functioning (living independently at home, receiving assistance at home or living in a nursing home; p = 0.01), location of infarction (right MCA territory, p < 0.001) and complications (dysphagia and fever during hospitalisation; p = 0.018 and p = 0.005, respectively) (see Table 4 for further details).
Table 4
Associations of demographic and stroke characteristics in patients able (strictly personal) and unable to consent (legal representative) in a multivariate logistic regression model
 
P-value
OR (95% CI)
Pre-stroke living
0.010
2.33 (1.23–4.43)
Admission NIHSS score
0.001
1.22 (1.08–1.38)
Dysphagia
0.018
0.30 (0.11–0.82)
MCA Infarction right
<0.001
0.15 (0.06–0.37)
Discharge BI
0.059
0.98 (0.96–1.00)
Fever during hospitalisation
0.005
3.87 (1.51–9.90)
All values obtained by logistic regression with stepwise backwards exclusion. All predictors showing association of p ≤ 0.1 in univariate analysis were included in the analysis; Abbreviations: NIHSS National Institute of Health Stroke Scale, MCA middle cerebral artery, BI Barthel Index

Discussion

In order to improve future stroke care, clinical trials will remain at the core of scientific progress. A key issue for succeeding in these is the selection of a patient population representative for “real world” stroke care. However, including patients unable to give informed consent personally is an ethically challenging issue, faced with different regulations in different countries or even between federal states [5, 6]. Some countries developed a framework by which acute treatment can be applied in emergency conditions by waiver of consent [7, 8]. Here, we explored whether exclusion of patients unable to consent would lead to a selection bias in basic demographics and classic stroke characteristics as well as in typical outcome parameters.
Our main findings are: 1) Patients able to consent were younger and had less severe strokes in term of clinical syndrome and functional deficit compared to patients unable to consent in an informed manner. 2) Location of infarction was strongly associated with the incapability to consent, most probably reflecting aphasia and unconsciousness. 3) Patients being able to consent had a higher level of pre-stroke functional independence and were more likely to live at home at the time of event. 4) Patients not being able to consent more frequently developed fever and infections and were more likely to have unfavourable outcome or even die in the course of the disorder.
These findings corroborate previous reports demonstrating stroke severity and localisation of infarction being strongly associated with ability to consent. Patients unable to consent are known to have higher admission NIHSS and mRS scores [15]. Similar to the presented study, the IST-3 investigators analysed the first 300 included patients and their consenting documents, and found stroke severity, type of clinical syndrome (motor deficit, dysphasia and/or visuospatial disorder) and infarct localization to show significant differences depending on ability to consent [13]. In a further analysis the consenting procedure was analysed in an academic stroke centre across several acute stroke studies the centre participated in. Again, greater age and greater stroke severity as measured by Scandinavian Stroke Scale were associated with inability to consent [3].
There are some limitations to this study: firstly, the results need to be interpreted with caution since we have performed this analysis in a post-hoc manner and the ability to consent was evaluated retrospectively from consenting sheets. Thus, we cannot rule out that patients gave their consent orally and next-of-kins signed as witnesses. Secondly, while we could analyse a robust sample size, larger cohorts are needed to explore further associations for different endpoints in other fields of stroke research with a higher statistical power. However, the strengths of our study are the complete data monitoring and the interventional trial setting. To our knowledge this is the second clinical trial in stroke research presenting differences within its cohort based on ability to consent, and the first to present it from its total cohort instead of an interim report.

Conclusions

Stroke patients’ ability to consent in an informed manner to participate in a clinical study depends on several demographic factors and stroke characteristics. Location of infarction, severity of stroke and functional outcome scales differ significantly between patients able or unable to give consent. Clinical researchers investigating acute stroke in general and post-stroke immunity and infections in particular as well as ethics review boards deciding on trial protocols need to consider that patients with inability to consent are more frequently aphasic, more severely affected, older, and more likely to develop fever and infections. We recommend bearing those differences in mind when planning selection criteria for future clinical trials. If (primary) outcome measures of a trial are affected by this selection bias, it appears unethical to exclude patients unable to consent. An international political and legal framework i.e. embedded within the International Conference on Harmonisation would be immensely helpful to address this issue.

Acknowledgements

Not applicable.

Funding

This study was based on STRAWINSKI funded by the European Union’s Seventh Framework Programme (FP7/2008–2013; grant agreements 201,024 and 202,213), the German Ministry for Health and Education (01EO0801), the German Research Foundation (Exc257, TR84, UL423/1–1), and by Thermo Fisher Scientific BRAHMS GmbH, Germany. Design of the study, as well as collection, analysis and interpretation of data, as well as writing of the manuscript were independent of all funding sources.

Availability of data and materials

The dataset supporting the conclusions of this article is included within the article (and its Additional file 1).
STRAWINSKI was reviewed and approved by the appropriate ethics committees (Charité - Universitätsmedizin Berlin [reference EA1/267/10], State Medical Association of Brandenburg [reference AS 30(a)/2011], Kantonale Ethikkommission Zuerich [reference 2013–0195], Hospital Vall d’ Hebron Clinical Research Ethics Committee [reference TFS-ANT-2012-01]). All patients, or if necessary their legal representatives, gave informed consent to participate in this trial.
Not applicable.

Competing interests

AM reports that his institution received financial support for study conduction from Thermo Fisher Scientific BRAHMS GmbH, Germany. MK received funding from the Swiss Science Foundation (PZ00P3_142422) and an unconditional research grant from Thermo Fisher Scientific BRAHMS GmbH in 2009 unrelated to this study. AM is a Section Editor of this Journal. The other authors report not competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Oude Rengerink K, Opmeer BC, SLM L, Hooft L, KWM B, Haak MC, et al. IMproving PArticipation of patients in clinical trials--rationale and design of IMPACT. BMC Med Res Methodol. 2010;10:85.CrossRefPubMedPubMedCentral Oude Rengerink K, Opmeer BC, SLM L, Hooft L, KWM B, Haak MC, et al. IMproving PArticipation of patients in clinical trials--rationale and design of IMPACT. BMC Med Res Methodol. 2010;10:85.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Dani KA, McCormick MT, Muir KW. Brain lesion volume and capacity for consent in stroke trials: potential regulatory barriers to the use of surrogate markers. Stroke. 2008;39:2336–40.CrossRefPubMed Dani KA, McCormick MT, Muir KW. Brain lesion volume and capacity for consent in stroke trials: potential regulatory barriers to the use of surrogate markers. Stroke. 2008;39:2336–40.CrossRefPubMed
3.
Zurück zum Zitat Demarquay G, Derex L, Nighoghossian N, Adeleine P, Philippeau F, Honnorat J, et al. Ethical issues of informed consent in acute stroke. Analysis of the modalities of consent in 56 patients enrolled in urgent therapeutic trials. Cerebrovasc Dis. 2005;19:65–8.CrossRefPubMed Demarquay G, Derex L, Nighoghossian N, Adeleine P, Philippeau F, Honnorat J, et al. Ethical issues of informed consent in acute stroke. Analysis of the modalities of consent in 56 patients enrolled in urgent therapeutic trials. Cerebrovasc Dis. 2005;19:65–8.CrossRefPubMed
4.
Zurück zum Zitat Elkins JS, Khatabi T, Fung L, Rootenberg J, Johnston SC. Recruiting subjects for acute stroke trials: a meta-analysis. Stroke. 2006;37:123–8.CrossRefPubMed Elkins JS, Khatabi T, Fung L, Rootenberg J, Johnston SC. Recruiting subjects for acute stroke trials: a meta-analysis. Stroke. 2006;37:123–8.CrossRefPubMed
6.
Zurück zum Zitat Petrini C. Informed consent from cognitively impaired persons participating in research trials: comparative law observations. Ann Ist Super Sanita. 2011;47:353–62.PubMed Petrini C. Informed consent from cognitively impaired persons participating in research trials: comparative law observations. Ann Ist Super Sanita. 2011;47:353–62.PubMed
7.
Zurück zum Zitat US Food and Drug Administration. Waiver of informed consent: requirements in certain emergency research. Fed Regist. 1996;61:51531–3. US Food and Drug Administration. Waiver of informed consent: requirements in certain emergency research. Fed Regist. 1996;61:51531–3.
9.
Zurück zum Zitat Silverman HJ, Lemaire F. Ethics and research in critical care. Intensive Care Med. 2006;32:1697–705.CrossRefPubMed Silverman HJ, Lemaire F. Ethics and research in critical care. Intensive Care Med. 2006;32:1697–705.CrossRefPubMed
10.
Zurück zum Zitat Cohen-Mansfield J. Consent and refusal in dementia research: conceptual and practical considerations. Alzheimer Dis Assoc Disord. 2003;17(Suppl 1):S17–25.CrossRefPubMed Cohen-Mansfield J. Consent and refusal in dementia research: conceptual and practical considerations. Alzheimer Dis Assoc Disord. 2003;17(Suppl 1):S17–25.CrossRefPubMed
11.
Zurück zum Zitat Williams BF, French JK, White HD, HERO-2 consent substudy investigators. Informed consent during the clinical emergency of acute myocardial infarction (HERO-2 consent substudy): a prospective observational study. Lancet. 2003;361:918–22.CrossRefPubMed Williams BF, French JK, White HD, HERO-2 consent substudy investigators. Informed consent during the clinical emergency of acute myocardial infarction (HERO-2 consent substudy): a prospective observational study. Lancet. 2003;361:918–22.CrossRefPubMed
12.
Zurück zum Zitat Schats R, Brilstra EH, Rinkel GJE, Algra A, van Gijn J. Informed consent in trials for neurological emergencies: the example of subarachnoid haemorrhage. J Neurol Neurosurg Psychiatry. 2003;74:988–91.CrossRefPubMedPubMedCentral Schats R, Brilstra EH, Rinkel GJE, Algra A, van Gijn J. Informed consent in trials for neurological emergencies: the example of subarachnoid haemorrhage. J Neurol Neurosurg Psychiatry. 2003;74:988–91.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Kane I, Lindley R, Lewis S, Sandercock P. IST-3 collaborative group. Impact of stroke syndrome and stroke severity on the process of consent in the third international stroke trial. Cerebrovasc Dis. 2006;21:348–52.CrossRefPubMed Kane I, Lindley R, Lewis S, Sandercock P. IST-3 collaborative group. Impact of stroke syndrome and stroke severity on the process of consent in the third international stroke trial. Cerebrovasc Dis. 2006;21:348–52.CrossRefPubMed
14.
Zurück zum Zitat Breuer L, Blinzler C, Huttner HB, Kiphuth IC, Schwab S, Köhrmann M. Off-label thrombolysis for acute ischemic stroke: rate, clinical outcome and safety are influenced by the definition of ‘minor stroke’. Cerebrovasc Dis. 2011;32:177–85.CrossRefPubMed Breuer L, Blinzler C, Huttner HB, Kiphuth IC, Schwab S, Köhrmann M. Off-label thrombolysis for acute ischemic stroke: rate, clinical outcome and safety are influenced by the definition of ‘minor stroke’. Cerebrovasc Dis. 2011;32:177–85.CrossRefPubMed
15.
Zurück zum Zitat Hotter B, Jegzentis K, Steinbrink J, Schmidt WU, Endres M, Meisel A, et al. Impact of selection criteria on recruitment in an interventional stroke trial. Cerebrovasc Dis. 2013;36:344–50.CrossRefPubMed Hotter B, Jegzentis K, Steinbrink J, Schmidt WU, Endres M, Meisel A, et al. Impact of selection criteria on recruitment in an interventional stroke trial. Cerebrovasc Dis. 2013;36:344–50.CrossRefPubMed
16.
Zurück zum Zitat Meisel C, Schwab JM, Prass K, Meisel A, Dirnagl U. Central nervous system injury-induced immune deficiency syndrome. Nat Rev Neurosci. 2005;6:775–86.CrossRefPubMed Meisel C, Schwab JM, Prass K, Meisel A, Dirnagl U. Central nervous system injury-induced immune deficiency syndrome. Nat Rev Neurosci. 2005;6:775–86.CrossRefPubMed
17.
Zurück zum Zitat Chamorro A, Meisel A, Planas AM, Urra X, van de Beek D, Veltkamp R. The immunology of acute stroke. Nat Rev Neurol. 2012;8:401–10.CrossRefPubMed Chamorro A, Meisel A, Planas AM, Urra X, van de Beek D, Veltkamp R. The immunology of acute stroke. Nat Rev Neurol. 2012;8:401–10.CrossRefPubMed
18.
Zurück zum Zitat Klehmet J, Harms H, Richter M, Prass K, Volk HD, Dirnagl U, et al. Stroke-induced immunodepression and post-stroke infections: lessons from the preventive antibacterial therapy in stroke trial. Neuroscience. 2009;158:1184–93.CrossRefPubMed Klehmet J, Harms H, Richter M, Prass K, Volk HD, Dirnagl U, et al. Stroke-induced immunodepression and post-stroke infections: lessons from the preventive antibacterial therapy in stroke trial. Neuroscience. 2009;158:1184–93.CrossRefPubMed
19.
Zurück zum Zitat Hoffmann S, Malzahn U, Harms H, Koennecke H-C, Berger K, Kalic M, et al. Development of a clinical score (A2DS2) to predict pneumonia in acute ischemic stroke. Stroke. 2012;43:2617–23.CrossRefPubMed Hoffmann S, Malzahn U, Harms H, Koennecke H-C, Berger K, Kalic M, et al. Development of a clinical score (A2DS2) to predict pneumonia in acute ischemic stroke. Stroke. 2012;43:2617–23.CrossRefPubMed
20.
Zurück zum Zitat Ulm L, Hoffmann S, Nabavi DG, Hermans M, Mackert B-M, Hamilton F, et al. The randomized controlled STRAWINSKI trial: Procalcitonin-guided antibiotic therapy after stroke. Front Neurol. 2017;8:153.CrossRefPubMedPubMedCentral Ulm L, Hoffmann S, Nabavi DG, Hermans M, Mackert B-M, Hamilton F, et al. The randomized controlled STRAWINSKI trial: Procalcitonin-guided antibiotic therapy after stroke. Front Neurol. 2017;8:153.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Ulm L, Ohlraun S, Harms H, Hoffmann S, Klehmet J, Ebmeyer S, et al. STRoke adverse outcome is associated WIth NoSocomial infections (STRAWINSKI): procalcitonin ultrasensitive-guided antibacterial therapy in severe ischaemic stroke patients - rationale and protocol for a randomized controlled trial. Int J Stroke. 2013;8:598–603.CrossRefPubMed Ulm L, Ohlraun S, Harms H, Hoffmann S, Klehmet J, Ebmeyer S, et al. STRoke adverse outcome is associated WIth NoSocomial infections (STRAWINSKI): procalcitonin ultrasensitive-guided antibacterial therapy in severe ischaemic stroke patients - rationale and protocol for a randomized controlled trial. Int J Stroke. 2013;8:598–603.CrossRefPubMed
Metadaten
Titel
Selection bias in clinical stroke trials depending on ability to consent
verfasst von
Benjamin Hotter
Lena Ulm
Sarah Hoffmann
Mira Katan
Joan Montaner
Alejandro Bustamante
Andreas Meisel
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Neurology / Ausgabe 1/2017
Elektronische ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-017-0989-9

Weitere Artikel der Ausgabe 1/2017

BMC Neurology 1/2017 Zur Ausgabe

Neu in den Fachgebieten Neurologie und Psychiatrie

Endlich: Zi zeigt, mit welchen PVS Praxen zufrieden sind

IT für Ärzte Nachrichten

Darauf haben viele Praxen gewartet: Das Zi hat eine Liste von Praxisverwaltungssystemen veröffentlicht, die von Nutzern positiv bewertet werden. Eine gute Grundlage für wechselwillige Ärzte und Psychotherapeuten.

Akuter Schwindel: Wann lohnt sich eine MRT?

28.04.2024 Schwindel Nachrichten

Akuter Schwindel stellt oft eine diagnostische Herausforderung dar. Wie nützlich dabei eine MRT ist, hat eine Studie aus Finnland untersucht. Immerhin einer von sechs Patienten wurde mit akutem ischämischem Schlaganfall diagnostiziert.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Frühe Alzheimertherapie lohnt sich

25.04.2024 AAN-Jahrestagung 2024 Nachrichten

Ist die Tau-Last noch gering, scheint der Vorteil von Lecanemab besonders groß zu sein. Und beginnen Erkrankte verzögert mit der Behandlung, erreichen sie nicht mehr die kognitive Leistung wie bei einem früheren Start. Darauf deuten neue Analysen der Phase-3-Studie Clarity AD.