Temporal trends in intracerebral hemorrhage: Evidence from the Austrian Stroke Unit Registry
Authors:
Christoph Schellen aff001; Alexandra Posekany aff002; Julia Ferrari aff003; Stefan Krebs aff003; Wilfried Lang aff003; Michael Brainin aff002; Dimitre Staykov aff005; Marek Sykora aff003;
Authors place of work:
Department of Radiology, Rudolf Foundation Hospital ("Krankenanstalt Rudolfstiftung"), Vienna, Austria
aff001; Department for Clinical Neurosciences and Preventive Medicine, Danube University, Krems, Austria
aff002; Department of Neurology, St. John's Hospital, Vienna, Austria
aff003; Medical Faculty, Sigmund Freud University, Vienna, Austria
aff004; Department of Neurology, St. John's Hospital, Eisenstadt, Austria
aff005; I. Department of Neurology, Comenius University, Bratislava, Slovakia
aff006
Published in the journal:
PLoS ONE 14(11)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0225378
Summary
Background
To assess changes in frequency, severity, complications, therapy and outcome of intracerebral hemorrhage in patients treated in stroke units in Austria, we evaluated data from the Austrian Stroke Unit Registry between 2008 and 2016.
Methods and findings
Data of 6707 cases of ICH covering a time span of 9 years and including information on age, risk factors, pre-stroke modified Rankin Score (mRS), baseline stroke severity (NIHSS), complications, therapy, functional outcome, and mortality were extracted from the Austrian Stroke Unit Registry. A multivariate regularized logistic regression model and linear models for temporal dependence were computed for analyzing statistical inference and time trends. Bonferroni correction was applied to correct for multiple testing.
Between 2008 and 2016, the proportion of ICH admissions to stroke units in Austria declined, with a shift among patients towards older age (>70 years, p = 0.04) and lower admission NIHSS scores. While no significant time trends in risk factors, pre-stroke mRS and medical complications were observed, therapeutic interventions declined significantly (p<0.001). Three-month mortality increased over the years independently (p = 0.003).
Conclusions
Despite declining incidence and clinical severity of ICH we observed a clear increase in three-month mortality. This effect seems to be independent of predictors including age, admission NIHSS, pre-morbid MRS, or medical complications. The observations from this large retrospective database cohort study underline an urgent call for action in the therapy of ICH.
Keywords:
cévní mozková příhoda – Death rates – Hemorrhagic stroke – Medical risk factors – Intravenous injections – Intubation – Antihypertensive drug therapy
Introduction
Intracerebral hemorrhages (ICH) make up approximately 10–20% of all strokes in western high-income countries, however, the burden of stroke mortality and morbidity associated with ICH is disproportionately high [1–5]. While the incidence of ischemic stroke decreased in recent decades [2,6,7], limited data exists on the incidence of ICH and available reports came to conflicting results [1,2,6–12]. Mortality in patients with ICH remains high. The one-year mortality rate in ICH is approximately 55% [4,7]. One patient in three will die within the first month following ICH onset, with nearly 50% of the deaths occurring within the first 48 hours [1,2,4,5,7]. While some authors reported declining mortality following ICH in recent years [3,6,10], others found a decrease only in younger patients (<75 years of age) [12] or observed decreasing 30-day mortality but no changes within the first 48 hours from stroke onset [2]. Numerous studies, including a large meta-analysis by van Asch in 2010 that reached back into the 1980s, observed no change in mortality after ICH [1,7–9,11,13]. The aim of this analysis was to examine trends in ICH incidence, severity, complications, therapy and outcome of ICH from 2008 to 2016 in subjects registered in the Austrian Stroke Unit Registry (ASUR) [14–16].
Methods
Data of 6707 cases of ICH covering a time span of 9 years and including information on age, risk factors, pre-morbid modified Rankin Score (mRS), baseline stroke severity (National Institutes of Health Stroke Scale, NIHSS), therapy, complications, functional outcome and mortality were extracted from the Austrian Stroke Unit Registry. The subjects were divided into 4 age groups (18 to 50 years, >50 to 70 years, >70 to 80 years, and >80 years) and admission NIHSS scores were split into 4 categories (low 0–5, moderately low 6–10, moderately high 11–20, and high 21–42). The functional outcome at 3 months was dichotomized into favorable outcome (mRS 0–3), reflecting a broad degree of independence in the daily activities of life, versus unfavorable outcome (mRS 4–6), indicating considerable dependency or death. The distribution of the data was visualized using histograms and graphs with 95% pointwise standard confidence intervals for population proportions. Exploratory time trend analyses were computed with a standard linear model approach. Multivariate regularized logistic regression models (least absolute shrinkage and selection operator ("LASSO") regression, fitted by applying version 2.0–16 of the R package "glmnet") were fitted for analyzing statistical relations and temporal trends. Bonferroni correction was applied to correct for multiple testing. All statistics were performed using statistical software R 3.3.3 [17].
Standard protocol approvals, registrations, and patient consents
The Austrian Stroke Unit Registry is part of a governmental quality assessment program for stroke care in Austria financed by the Federal Ministry of Health. It is based on the federal law promoting quality in healthcare ("Gesundheitsqualitätsgesetz"). Anonymized data are centrally administered by the Gesundheit Österreich GmbH, and scientific analyses are approved and supervised by an academic review board [18].
Results
Out of 119785 stroke patients ≥ 18 years of age who were recorded in the Austrian Stroke Unit Registry between 2008 and 2016, 6707 patients (5.6%; 53% male; median age 74.5 years, interquartile range (IQR) 18.0 years, range 19.1–102.1 years) were treated for ICH. In the descriptive analyses, the relative proportion of ICH patients in the general study population (all strokes) declined significantly over time (6.3% in 2008 vs 5.8% in 2012 vs 4.7% in 2016, Fig 1). While the sex distribution remained unchanged at the 5% significance level, there was a significant transition towards older patients in time trend analyses. The percentage of patients aged >70 to 80 years and >80 to 120 years increased while the proportion of patients aged >50 to 70 years declined over the years. The fraction of patients aged 18 to 50 years remained unchanged (Fig 2).
Admission stroke severity and pre-morbid functional status
The median admission NIHSS score was 8, IQR 13. The percentage of high admission NIHSS scores (21–42) decreased over time while the rate of low admission NIHSS scores (0–5) increased (Fig 3). Moderate admission NIHSS scores (6–10, 11–20) showed no significant variation at the 5% significance level (Fig 3). The median pre-morbid mRS score was 0, IQR 0–1. No significant time trends were found in pre-morbid mRS scores (p = 0.921, Fig 4).
Risk factors, etiologies and localizations of ICH
The prevalence of risk factors–in particular: hypertension (84.5%), diabetes mellitus (18.3%), previous stroke (18.3%), myocardial infarction (6.1%), hypercholesterolemia (33.8%), atrial fibrillation (22.2%), other cardiac disease (15.8%), peripheral arterial occlusive disease (4.6%), smoking (12.1%), regular alcohol consumption (9.5%), alcohol intoxication (0.8%), and etiologies including vascular malformations (5.0%), cerebral amyloid angiopathy (7.7%)–showed no significant variation at the 5% significance level in time trend analysis. Intracranial hemorrhage anatomical localization–deep (48.1%), lobar (41.2%), cerebellar (6.0%), brain stem (3.8%), ventricular (0.8%)–remained stable over the years (p = 1.0).
Therapies
Recorded therapies included low dose heparin treatment, insulin therapy, antihypertensive agents, continuous intravenous therapy, assisted ventilation, tracheal intubation, nasogastric intubation, percutaneous gastrostomy, urinary catheterization, and surgical therapy. The evaluation of therapy measures revealed a significant decline of some interventions. The administration of low dose heparin decreased in favor of withholding heparin treatment (from 0.74 to 0.57, OR, 0.92; 95% CI, 0.89–0.95; p<0.001). The use of continuous intravenous therapy (from 0.31 to 0.24, OR, 0.96; 95% CI, 0.93–0.99; p = 0.022), nasogastric intubation (from 0.26 to 0.14, OR, 0.93; 95% CI, 0.90–0.96; p<0.001) and urinary catheterization (from 0.67 to 0.48, OR, 0.93; 95% CI, 0.91–0.96; p<0.001;) declined through the years. In contrast, no significant changes were observed in the frequency of insulin therapy (4.8%, p = 0.523), the use of antihypertensive agents (77.3%, p = 1.0), assisted ventilation (3.4%, p = 0.246), tracheal intubation (3.5%, p = 0.206), percutaneous gastrostomy (1.4%, p = 1.0), and surgical therapy (1.2%, p = 1.0). Considering low-dose heparinization, continuous intravenous therapy, and nasogastric intubation, we found a decreasing administration of treatment to patients suffering from a severe stroke (NIHSS 21–42) or patients of old age suffering from a severe stroke (age >80 to 120 years, NIHSS 21–42). Urinary catheterization declined most notably in elderly patients (>70 to 80 years and >80 years) with moderately severe stroke (NIHSS 11–20). While the administration of assisted ventilation did not significantly decline in general, a decrease was observed in patients suffering from a severe and moderately severe stroke (NIHSS 11–20 and 21–42).
Complications
Brain edema (8.6%), epileptic seizures (2.8%), hydrocephalus (1.1%%), cardiac arrhythmia (1.6%), cardiovascular decompensation (2.7%), pulmonary embolism (0.3%), sepsis (0.8%), urinary tract infection (6.1%), pneumonia (11.3%), extracerebral hemorrhage (0.1%), and deep vein thrombosis (0.2%) remained unchanged at the 5% significance level in time trend analysis.
Comparison of subjects with and without follow-up data
Follow-up data (mRS and mortality at 3 months) were available from 3582 subjects (53.4%, 51% male; median age 76.5 years, IQR 16.8 years, range 19–102 years). Patients with completed follow-up had more severe strokes (Table 1), higher pre-morbid MRS and admission NIHSS scores (Table 1), a greater prevalence of risk factors (Table 1), and higher complication rates (Table 2). Anatomical ICH localization did not significantly vary between patients with follow-up data and those without (p = 0.064). Time trends in the demographic and clinical parameters of patients with follow-up data were consistent with those described previously for the whole ICH study population: the proportion of ICH patients declined significantly over time (10.6% in 2008 vs 8.8% in 2012 vs 8.2% in 2016), with stable sex distribution and a shift towards older patients. The trend towards lower admission NIHSS scores was slightly less pronounced with a transition from high (21–42) to moderately high (11–20) scores and unchanged ratios of low and moderately low scores (0–5, 6–10). No significant time trends were found in pre-morbid mRS scores (p = 1.0) and ICH localization (p = 1.0). The prevalence of risk factors and complication rates showed no significant changes over time at the 5% significance level, while the same therapy measures that decreased in the general ICH study population–namely low dose heparin versus withholding heparin treatment (from 0.70 to 0.53, OR, 0.93; 95% CI, 0.89–0.97; p<0.001), continuous i.v. therapy (from 0.34 to 0.29, OR, 0.96; 95% CI, 0.93–0.99; p = 0.044), nasogastric intubation (from 0.32 to 0.22, OR, 0.93; 95% CI, 0.89–0.96; p<0.001), and urinary catheterization (from 0.74 to 0.60, OR, 0.93; 95% CI, 0.91–0.96; p<0.001)–also declined in the subgroup of patients with follow-up records.
Functional outcome and mortality at 3 months
Follow-up data were available for 3582 subjects. At 3-months-follow-up, the percentages of mRS scores 0–3 versus 4–6 showed no significant changes over the whole study period between 2008 and 2016 (p = 1.0). However, there was a significant increase of patients with mRS score 6 (representing death/mortality) in comparison to mRS scores 0–5 (OR, 1.06; 95% CI, 1.02–1.11; p = 0.003) over time. A steady increase of follow-up mortality between 2008 and 2012 was followed by a slight decline between 2012 and 2015, and a sharp rise in 2016 (Fig 5). In multivariate analyses, age >80 years was associated with unfavorable outcome and increased mortality (adjusted OR, 5.17; 95% CI, 2.23–11.97; p<0.001; and adjusted OR, 3.17; 95% CI, 1.4–7.18; p = 0.008; Table 3) without time interaction. Likewise, moderately high and high admission NIHSS scores (11–20, 21–42) were associated with unfavorable outcome (adjusted OR, 7.64; 95% CI, 2.49–23.46; p<0.001; and adjusted OR, 68.23; 95% CI, 2.45–1897.12; p = 0.042) and increased mortality (adjusted OR, 9.30; 95% CI,3.54–24.39; p<0.001; and adjusted OR, 39.08; 95% CI,8.39–182; p<0.001; Table 3). Moreover, groups of moderate admission NIHSS scores (6–10 and 11–20) were associated with increased mortality also when entered as interaction with time, independently of all other variables (adjusted OR, 1.20 and 1.22; 95% CI, 1.07–1.35 and 1.08–1.38; p<0.001). No interaction with time was seen in those with low (0–5) and high (21–42) admission NIHSS scores (p = 1.0).
Subjects with pre-stroke mRS ≤ 3
After excluding severely premorbid subjects with pre-stroke mRS scores of 4 and 5, an additional assessment of patients with pre-stroke mRS scores ≤ 3 showed slightly lower median admissions NIHSS scores than in the general study population (median 7, IQR 12 versus median 8, IQR 13) and a lower percentage of patients with previous stroke (16.2% versus 18.3%). The baseline characteristics remained otherwise unchanged. With regard to risk factors, etiologies, localizations of ICH, and complications, no significant variations were found. Functional outcome and mortality at 3 months revealed the same significant trends as in the general study population–most notably and independently of all other variables, an increased mortality in patients with moderate admission NIHSS scores (6–10 and 11–20) when entered as interaction with time (adjusted OR; 1.21; 95% CI 1.1–1.41; p<0.001; and adjusted OR 1.24, 95% CI 1.1–1.41; p<0.001). Likewise, the observed trends in therapies were confirmed in this subset of patients.
Discussion
Data from the Austrian Stroke Unit Registry suggest that mortality in acute ICH patients treated at stroke units increased significantly between 2008 and 2016, despite largely unchanged risk factors, declining admission NIHSS scores, and stable complication rates. Over the 9 years of the study, patients with acute ICH became older and had milder strokes. The ratio of ICH among all acute stroke admissions to Austrian stroke units declined significantly from 6.3% in 2008 to 4.7% in 2016, without changes in the nationwide patient admission and distribution system. This is in line with earlier observations from the Austrian Stroke Unit Registry [19] and other populations [1,6,9,13]. At 5.6% mean, the overall proportion of ICH patients was slightly lower in our acute stroke study population than in previous reports [1,2,5]. This may be due to the fact that the ASUR has collected data exclusively from patients admitted to stroke units, thus omitting patients admitted primarily to neurosurgery departments or general intensive care units. The functional outcome showed no significant time trends except for mortality: in 2016, one in two patients (50.0%) treated for acute ICH died within 90 days from admission, compared to one in three patients (30.5%) in 2008. This trend may be mostly explained by an increase in patients aged ≥ 70 years. We found that age ≥ 80 years was associated with increased follow-up mortality, and it has previously been reported that patients ≥ 75 years of age experienced no improvement [12] or even deterioration [20] in ICH. However, the multivariable analyses showed that patients with moderate admission NIHSS scores (6–10 and 11–20) are over time at greater likelihood of dying, independent of age and all other assessed factors known to contribute to mortality. The reasons for this increase in the mortality risk are unclear. Interestingly, we observed changes in some therapies of acute ICH patients in parallel over the same time. It has previously been shown that early care limitations including do not resuscitate (DNR) orders are associated with short- and long-term mortality after ICH, and the reluctance of clinicians to offer aggressive care in the absence of evidence-based curative therapy for severe ICH could be reaffirmed in the sense of a self-fulfilling prophecy [2,21–23]. While data on DNR orders were not available in our study, the observed decline of certain interventions may hypothetically point towards a growing willingness to withdraw from care. When considering therapies such as continuous intravenous therapy, nasogastric intubation, urinary catheterization, and assisted ventilation, we found a decreasing use of these treatments in patients with severe strokes or patients of old age with severe strokes. These trends were confirmed to be significant by detailed exploration of the data, however, these four-way interactions could not be included into the logistic regression model for mortality due to masking effects. Interpretations linking declining trends in therapies to the increased mortality may therefore only be postulated with caution as a hypothesis. Studies on care limitations in patients with ICH have shown that practitioners tend to be overly pessimistic in predicting outcome based upon data available at the time of presentation [22], that aggressive care after ICH can favorably impact functional outcome and survival [21,24], and that individuals in the worst initial prognostic category can have meaningful recovery when offered full aggressive care [21]. Older age, which is also associated with worse prognosis in ICH, has been shown to increase the likelihood of a DNR decision [25], a particularly noteworthy finding in view of the increasing age of patients. Death may not always be an undesired outcome in many dire circumstances, particularly in patients of old age with severe strokes. An increasing mortality rate in patients with moderate admission NIHSS scores over time, however, gives cause for concerns.
Several limitations must be named for interpretation of the results. First, in Austria, two thirds of all strokes admitted to hospitals are treated at stroke-units [15,19]. Data of the ASUR can thus be seen as representative for acute stroke patients in Austria [19]. However, the ASUR does not include ICH patients admitted primarily to neurosurgery departments or general intensive care units. Our results are therefore limited to a specific population of ICH patients treated at stroke units, omitting those admitted directly or transferred to neurosurgical or intensive care departments. This may introduce significant bias, as ICH patients with better prognosis are more likely to be treated surgically or in intensive care. Nonetheless, against the background of declining admission NIHSS scores in ICH stroke unit patients, it is surprising that the mortality rate in conservative stroke treatments seems to increase over the years. This contradicts previous studies on the clearly positive effects of a dedicated stroke unit care on ICH outcome [26]. Second, the analyses are based on specific hospital data and thus do not allow conclusions on incidence or risk factor changes in the general population or on their relative importance for stroke risk. The differences in patients with follow-up data as compared to those without follow-up may be partially explained by the fact that all acutely deceased patients automatically receive follow-up records. This may introduce bias with overrepresentation of more severe cases resulting in higher mortality. Nevertheless, time trends in mortality should not be affected by this bias as the system of follow-up recording did not change over time. Additionally, this presumption is underlined by the fact that time trends for other variables did not vary significantly between patients with follow-up data and the general ICH study population. Despite the above-mentioned limitations, the strength of this prospective register is the uniform collection of nationwide stroke unit data over a 9 years period, which allows the assessment of major temporal trends in stroke patients' characteristics and inferences for the future management of acute stroke patients.
Conclusion
In line with findings from earlier years [19], our data further support the assumption that acute stroke management will have to focus increasingly on patients with ICH. The observed rise in mortality of ICH patients treated on stroke units is a novel finding and may be reason for concern. It is in conflict with previous reports of stable mortality rates over the years in ICH and decreasing mortality rates in ischemic stroke. Nevertheless, our observation should clearly be seen as a call for action in stroke unit management for this devastating condition.
Supporting information
Zdroje
1. Zahuranec DB, Lisabeth LD, Sánchez BN, Smith MA, Brown DL, Garcia NM, et al. Intracerebral hemorrhage mortality is not changing despite declining incidence. Neurology. 2014 Jun 17;82(24):2180–6. doi: 10.1212/WNL.0000000000000519 24838789
2. Béjot Y, Grelat M, Delpont B, Durier J, Rouaud O, Osseby G-V, et al. Temporal trends in early case-fatality rates in patients with intracerebral hemorrhage. Neurology. 2017 Mar 7;88(10):985–90. doi: 10.1212/WNL.0000000000003681 28159886
3. Otite FO, Khandelwal P, Malik AM, Chaturvedi S, Sacco RL, Romano JG. Ten-Year Temporal Trends in Medical Complications After Acute Intracerebral Hemorrhage in the United States. Stroke. 2017 Mar;48(3):596–603. doi: 10.1161/STROKEAHA.116.015746 28228576
4. Siddiqui AA, Siddiqui JS, Wasay M, Azam SI, Ahmed A. A Dynamical Study of Risk Factors in Intracerebral Hemorrhage using Multivariate Approach. Int J Stat Med Res. 2013;2(1):23–33.
5. Tsivgoulis G, Patousi A, Pikilidou M, Birbilis T, Katsanos AH, Mantatzis M, et al. Stroke Incidence and Outcomes in Northeastern Greece: The Evros Stroke Registry. Stroke. 2018 Feb;49(2):288–95. doi: 10.1161/STROKEAHA.117.019524 29335330
6. Gattellari M, Goumas C, Worthington J. Declining rates of fatal and nonfatal intracerebral hemorrhage: epidemiological trends in Australia. J Am Heart Assoc. 2014 Dec 8;3(6):e001161. doi: 10.1161/JAHA.114.001161 25488294
7. van Asch CJ, Luitse MJ, Rinkel GJ, van der Tweel I, Algra A, Klijn CJ. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis. Lancet Neurol. 2010 Feb;9(2):167–76. doi: 10.1016/S1474-4422(09)70340-0 20056489
8. Kleindorfer DO, Khoury J, Moomaw CJ, Alwell K, Woo D, Flaherty ML, et al. Stroke incidence is decreasing in whites but not in blacks: A population-based estimate of temporal trends in stroke incidence from the greater cincinnati/northern kentucky stroke study. Stroke. 2010;41(7):1326–31. doi: 10.1161/STROKEAHA.109.575043 20489177
9. Islam MS, Anderson CS, Hankey GJ, Hardie K, Carter K, Broadhurst R, et al. Trends in incidence and outcome of stroke in Perth, Western Australia during 1989 to 2001: the Perth Community Stroke Study. Stroke. 2008 Mar;39(3):776–82. doi: 10.1161/STROKEAHA.107.493643 18239179
10. Wasay M, Khatri IA, Khealani B, Afaq M. Temporal trends in risk factors and outcome of intracerebral hemorrhage over 18 years at a tertiary care hospital in Karachi, Pakistan. J Stroke Cerebrovasc Dis. 2012 May;21(4):289–92. doi: 10.1016/j.jstrokecerebrovasdis.2010.09.001 20970357
11. Guéniat J, Brenière C, Graber M, Garnier L, Mohr S, Giroud M, et al. Increasing Burden of Stroke: The Dijon Stroke Registry (1987–2012). Neuroepidemiology. 2018 Feb 1;50(1–2):47–56. doi: 10.1159/000486397 29393231
12. Jolink WMT, Klijn CJM, Brouwers PJAM, Kappelle LJ, Vaartjes I. Time trends in incidence, case fatality, and mortality of intracerebral hemorrhage. Neurology. 2015 Oct 13;85(15):1318–24. doi: 10.1212/WNL.0000000000002015 26377254
13. Rothwell PM, Coull AJ, Giles MF, Howard SC, Silver LE, Bull LM, et al. Change in stroke incidence, mortality, case-fatality, severity, and risk factors in Oxfordshire, UK from 1981 to 2004 (Oxford Vascular Study). Lancet. 2004;363(9425):1925–33. doi: 10.1016/S0140-6736(04)16405-2 15194251
14. Hofer C, Kiechl S, Lang W. [The Austrian Stroke-Unit-Registry]. Wien Med Wochenschr. 2008;158(15–16):411–7. doi: 10.1007/s10354-008-0563-6 18766309
15. Brainin M, Lang W. Editorial: Stroke units in Austria: structure, performance and results. Wien Med Wochenschr. 2008;158(15–16):407–8, 408–10. doi: 10.1007/s10354-008-0562-7 18766308
16. Ferrari J, Knoflach M, Kiechl S, Willeit J, Schnabl S, Seyfang L, et al. Early clinical worsening in patients with TIA or minor stroke: the Austrian Stroke Unit Registry. Neurology. 2010 Jan 12;74(2):136–41. doi: 10.1212/WNL.0b013e3181c9188b 20065248
17. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria; 2018. Available from: https://www.r-project.org
18. Knoflach M, Matosevic B, Rücker M, Furtner M, Mair A, Wille G, et al. Functional recovery after ischemic stroke–a matter of age: data from the Austrian Stroke Unit Registry. Neurology. 2012 Jan 24;78(4):279–85. doi: 10.1212/WNL.0b013e31824367ab 22238419
19. Teuschl Y, Brainin M, Matz K, Dachenhausen A, Ferrari J, Seyfang L, et al. Time trends in patient characteristics treated on acute stroke-units: results from the Austrian Stroke Unit Registry 2003–2011. Stroke. 2013 Apr;44(4):1070–4. doi: 10.1161/STROKEAHA.111.676114 23412371
20. Béjot Y, Cordonnier C, Durier J, Aboa-Eboulé C, Rouaud O, Giroud M. Intracerebral haemorrhage profiles are changing: results from the Dijon population-based study. Brain. 2013 Feb;136(Pt 2):658–64. doi: 10.1093/brain/aws349 23378220
21. Zahuranec DB, Brown DL, Lisabeth LD, Gonzales NR, Longwell PJ, Smith MA, et al. Early care limitations independently predict mortality after intracerebral hemorrhage. Neurology. 2007 May 15;68(20):1651–7. doi: 10.1212/01.wnl.0000261906.93238.72 17502545
22. Becker KJ, Baxter AB, Cohen WA, Bybee HM, Tirschwell DL, Newell DW, et al. Withdrawal of support in intracerebral hemorrhage may lead to self-fulfilling prophecies. Neurology. 2001 Mar 27;56(6):766–72. doi: 10.1212/wnl.56.6.766 11274312
23. Geurts M, de Kort FA, de Kort PL, van Tuijl JH, van Thiel GJ, Kappelle LJ, et al. Treatment restrictions in patients with severe stroke are associated with an increased risk of death. Eur Stroke J. 2017 Sep 28;2(3):244–9. doi: 10.1177/2396987317704546 29900408
24. Morgenstern LB, Zahuranec DB, Sánchez BN, Becker KJ, Geraghty M, Hughes R, et al. Full medical support for intracerebral hemorrhage. Neurology. 2015 Apr 28;84(17):1739–44. doi: 10.1212/WNL.0000000000001525 25817842
25. Silvennoinen K, Meretoja A, Strbian D, Putaala J, Kaste M, Tatlisumak T. Do-not-resuscitate (DNR) orders in patients with intracerebral hemorrhage. Int J Stroke. 2014 Jan;9(1):53–8. doi: 10.1111/ijs.12161 24148872
26. Langhorne P, Fearon P, Ronning OM, Kaste M, Palomaki H, Vemmos K, et al. Stroke unit care benefits patients with intracerebral hemorrhage: systematic review and meta-analysis. Stroke. 2013 Nov;44(11):3044–9. doi: 10.1161/STROKEAHA.113.001564 24065713
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