Predictors of spontaneous intracerebral hemorrhage mortality: a community-based study in Brno, Czech Republic.

Community-based study Czech Republic Intracerebral hemorrhage Mortality

Journal

Acta neurologica Belgica
ISSN: 2240-2993
Titre abrégé: Acta Neurol Belg
Pays: Italy
ID NLM: 0247035

Informations de publication

Date de publication:
05 Aug 2024
Historique:
received: 01 01 2024
accepted: 13 07 2024
medline: 5 8 2024
pubmed: 5 8 2024
entrez: 5 8 2024
Statut: aheadofprint

Résumé

Intracerebral hemorrhage (ICH) is a serious medical condition with high mortality. However, factors leading to long-term mortality after ICH are largely unclear. The aim of this community-based study is to assess predictors of long-term mortality after spontaneous ICH. We identified all patients admitted with spontaneous ICH to hospitals with a certified stroke unit in Brno, the second largest city in the Czech Republic (CR), in 2011, the year of the Czech Population and Housing Census. We reviewed their medical records for risk factors, radiographic parameters, and measures of post-stroke neurological deficit [National Institutes of Health Stroke Scale (NIHSS)]. Using the dates of death from the Czech National Mortality Register, we calculated mortality at 30 days, six months, one year, and three years after the ICH. Multivariate analysis with forward stepwise logistic regression was performed to determine independent predictors of mortality (p < 0.05). In 2011, 1086 patients with stroke were admitted to the four stroke-certified hospitals in Brno, CR. Of these, 134 had spontaneous ICH, with complete data available in 93 of them entering the final analysis. The mortality at 30 days, 6 months, 1 year, and 3 years post-ICH was 34%, 47%, 51%, and 63%, respectively. The mortality was highest in the first few days post-event, with 50% of patients dying in 255 days and average survival being 884 ± 90 days. Both NIHSS and modified ICH (MICH) score showed to be strong and reliable predictors of short- as well as long-term mortality; the risk of death post-ICH increased with older age and size of ICH. Other risk factors contributing to higher, primarily shorter-term mortality included history of cardiac failure, myocardial infarction, or atrial fibrillation. In our community-based study, we found that severity of neurological deficit at admission (NIHSS), combined with age and size of ICH, well predicted short- as well as long-term mortality after spontaneous ICH. A history of cardiac failure, myocardial infarction, or atrial fibrillation at presentation were also predictors of mortality, underscoring the need for optimal cardiac management in patients with ICH.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
Intracerebral hemorrhage (ICH) is a serious medical condition with high mortality. However, factors leading to long-term mortality after ICH are largely unclear. The aim of this community-based study is to assess predictors of long-term mortality after spontaneous ICH.
METHODS METHODS
We identified all patients admitted with spontaneous ICH to hospitals with a certified stroke unit in Brno, the second largest city in the Czech Republic (CR), in 2011, the year of the Czech Population and Housing Census. We reviewed their medical records for risk factors, radiographic parameters, and measures of post-stroke neurological deficit [National Institutes of Health Stroke Scale (NIHSS)]. Using the dates of death from the Czech National Mortality Register, we calculated mortality at 30 days, six months, one year, and three years after the ICH. Multivariate analysis with forward stepwise logistic regression was performed to determine independent predictors of mortality (p < 0.05).
RESULTS RESULTS
In 2011, 1086 patients with stroke were admitted to the four stroke-certified hospitals in Brno, CR. Of these, 134 had spontaneous ICH, with complete data available in 93 of them entering the final analysis. The mortality at 30 days, 6 months, 1 year, and 3 years post-ICH was 34%, 47%, 51%, and 63%, respectively. The mortality was highest in the first few days post-event, with 50% of patients dying in 255 days and average survival being 884 ± 90 days. Both NIHSS and modified ICH (MICH) score showed to be strong and reliable predictors of short- as well as long-term mortality; the risk of death post-ICH increased with older age and size of ICH. Other risk factors contributing to higher, primarily shorter-term mortality included history of cardiac failure, myocardial infarction, or atrial fibrillation.
CONCLUSIONS CONCLUSIONS
In our community-based study, we found that severity of neurological deficit at admission (NIHSS), combined with age and size of ICH, well predicted short- as well as long-term mortality after spontaneous ICH. A history of cardiac failure, myocardial infarction, or atrial fibrillation at presentation were also predictors of mortality, underscoring the need for optimal cardiac management in patients with ICH.

Identifiants

pubmed: 39102105
doi: 10.1007/s13760-024-02612-y
pii: 10.1007/s13760-024-02612-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : COST Association
ID : CA18118
Organisme : Ministry of Education, Youth and Sports of the Czech Republic
ID : LTC20051
Organisme : Czech Republic
ID : LM2018128
Organisme : Ministry of Health, Czech Republic
ID : FNBr
Organisme : Ministry of Health, Czech Republic
ID : 65269705

Informations de copyright

© 2024. The Author(s) under exclusive licence to Belgian Neurological Society.

Références

van Asch CJ, Luitse MJ, Rinkel GJ et al (2010) 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. https://doi.org/10.1016/S1474-4422(09)70340-0
doi: 10.1016/S1474-4422(09)70340-0 pubmed: 20056489
Poon MTC, Fonville AF, Salman RAS (2014) Long-term prognosis after intracerebral haemorrhage: systematic review and meta-analysis. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp-2013-306476
doi: 10.1136/jnnp-2013-306476 pubmed: 25535306
Sedova P, Brown RD, Zvolsky M et al (2017) Incidence of hospitalized stroke in the Czech Republic: the national registry of hospitalized patients. J Stroke Cerebrovasc Dis. https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.11.006
doi: 10.1016/j.jstrokecerebrovasdis.2016.11.006 pubmed: 27955808
Sedova P, Brown RD, Zvolsky M et al (2021) Incidence of stroke and ischemic stroke subtypes: a community-based study in Brno, Czech Republic. Cerebrovasc Dis. https://doi.org/10.1159/000512180
doi: 10.1159/000512180 pubmed: 34788769
Bryndziar T, Sedova P, Brown RD et al (2020) Trends in one month and one year hemorrhagic stroke case fatality rates in the Czech Republic between 1998 and 2015. J Stroke Cerebrovasc Dis. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104762
doi: 10.1016/j.jstrokecerebrovasdis.2020.104762 pubmed: 32268973
Bryndová L, Bar M, Herzig R et al (2021) Concentrating stroke care provision in the Czech Republic: the establishment of Stroke Centres in 2011 has led to improved outcomes. Health Policy. https://doi.org/10.1016/j.healthpol.2021.01.011
doi: 10.1016/j.healthpol.2021.01.011 pubmed: 34789401 pmcid: 8527640
Bryndziar T, Matyskova D, Sedova P et al (2022) Predictors of short- and long-term mortality in ischemic stroke: a community-based study in Brno, Czech Republic. Cerebrovasc Dis. https://doi.org/10.1159/000519937
doi: 10.1159/000519937 pubmed: 34788769
Jackova J, Sedova P, Brown RD et al (2020) Risk factors in ischemic stroke subtypes: a community-based study in Brno, Czech Republic. J Stroke Cerebrovasc Dis. https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.104503
doi: 10.1016/j.jstrokecerebrovasdis.2019.104503 pubmed: 31818680
Broderick JP, Brott TG, Duldner JE et al (1993) Volume of intracerebral hemorrhage: A powerful and easy-to-use predictor of 30-day mortality. Stroke. https://doi.org/10.1161/01.STR.24.7.987
doi: 10.1161/01.STR.24.7.987 pubmed: 8322400
Gebel JM, Jauch EC, Brott TG et al (2002) Relative edema volume is a predictor of outcome in patients with hyperacute spontaneous intracerebral hemorrhage. Stroke. https://doi.org/10.1161/01.STR.0000035283.34109.EA
doi: 10.1161/01.STR.0000035283.34109.EA pubmed: 12411654
Nag C, Das K, Ghosh M, Khandakar MR (2012) Prediction of clinical outcome in acute hemorrhagic stroke from a single CT scan on admission. N Am J Med Sci. https://doi.org/10.4103/1947-2714.101986
doi: 10.4103/1947-2714.101986 pubmed: 23112967 pmcid: 3482777
Hallevi H, Dar NS, Barreto AD et al (2009) The IVH Score: a novel tool for estimating intraventricular hemorrhage volume: clinical and research implications. Crit Care Med. https://doi.org/10.1097/CCM.0b013e318198683a
doi: 10.1097/CCM.0b013e318198683a pubmed: 19237905 pmcid: 2692316
Sreekrishnan A, Dearborn JL, Greer DM et al (2016) Intracerebral hemorrhage location and functional outcomes of patients: a systematic literature review and meta-analysis. Neurocrit Care. https://doi.org/10.1007/s12028-016-0276-4
doi: 10.1007/s12028-016-0276-4 pubmed: 27160888
Diringer MN, Edwards DF, Zazulia AR (1998) Hydrocephalus: a previously unrecognized predictor of poor outcome from supratentorial intracerebral hemorrhage. Stroke. https://doi.org/10.1161/01.STR.29.7.1352
doi: 10.1161/01.STR.29.7.1352 pubmed: 9660386
Witsch J, Neugebauer H, Zweckberger K, Jüttler E (2013) Primary cerebellar haemorrhage: complications, treatment and outcome. Clin Neurol Neurosurg 115(7):863–869
doi: 10.1016/j.clineuro.2013.04.009 pubmed: 23659765
Cheung RTF, Zou LY (2003) Use of the original, modified, or new intracerebral hemorrhage score to predict mortality and morbidity after intracerebral hemorrhage. Stroke. https://doi.org/10.1161/01.STR.0000078657.22835.B9
doi: 10.1161/01.STR.0000078657.22835.B9 pubmed: 12829862
Satopää J, Mustanoja S, Meretoja A et al (2017) Comparison of all 19 published prognostic scores for intracerebral hemorrhage. J Neurol Sci. https://doi.org/10.1016/j.jns.2017.05.034
doi: 10.1016/j.jns.2017.05.034 pubmed: 28716217
Cheung CM, Tsoi TH, Hon SFK et al (2008) Using the National Institutes of Health Stroke Scale (NIHSS) to predict the mortality and outcome of patients with intracerebral haemorrhage. Hong Kong Med J 14(5):367–370
pubmed: 18840907
Finocchi C, Balestrino M, Malfatto L et al (2018) National Institutes of Health Stroke Scale in patients with primary intracerebral hemorrhage. Neurol Sci. https://doi.org/10.1007/s10072-018-3495-y
doi: 10.1007/s10072-018-3495-y pubmed: 30430315
Nilsson OG, Lindgren A, Brandt L, Säveland H (2002) Prediction of death in patients with primary intracerebral hemorrhage: a prospective study of a defined population. J Neurosurg. https://doi.org/10.3171/jns.2002.97.3.0531
doi: 10.3171/jns.2002.97.3.0531 pubmed: 12405362
Suo Y, Chen WQ, Pan YS et al (2018) The max-intracerebral hemorrhage score predicts long-term outcome of intracerebral hemorrhage. CNS Neurosci Ther 24:1149–1155. https://doi.org/10.1111/cns.12846
doi: 10.1111/cns.12846 pubmed: 29529353 pmcid: 6489715
Roquer J, Vivanco-Hidalgo RM, Prats-Sánchez LL et al (2019) Interaction of atrial fibrillation and antithrombotics on outcome in intracerebral hemorrhage. Neurology. https://doi.org/10.1212/WNL.0000000000008462
doi: 10.1212/WNL.0000000000008462 pubmed: 31662492 pmcid: 6745730
Pana TA, Wood AD, Perdomo-Lampignano JA et al (2019) Impact of heart failure on stroke mortality and recurrence. Heart Asia. https://doi.org/10.1136/heartasia-2018-011139
doi: 10.1136/heartasia-2018-011139 pubmed: 31244914 pmcid: 6560925
Zis P, Leivadeas P, Michas D et al (2014) Predicting 30-day case fatality of primary inoperable intracerebral hemorrhage based on findings at the emergency department. J Stroke Cerebrovasc Dis. https://doi.org/10.1016/j.jstrokecerebrovasdis.2014.02.006
doi: 10.1016/j.jstrokecerebrovasdis.2014.02.006 pubmed: 24784015
Jolink WMT, Klijn CJM, Brouwers PJAM et al (2015) Time trends in incidence, case fatality, and mortality of intracerebral hemorrhage. Neurology. https://doi.org/10.1212/WNL.0000000000002015
doi: 10.1212/WNL.0000000000002015 pubmed: 26377254
Weimar C, Benemann J, Diener HC (2006) Development and validation of the Essen intracerebral haemorrhage score. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp.2005.081117
doi: 10.1136/jnnp.2005.081117 pubmed: 16354736
Forti P, Maioli F, Domenico Spampinato M et al (2016) The effect of age on characteristics and mortality of intracerebral hemorrhage in the oldest-old. Cerebrovasc Dis. https://doi.org/10.1159/000448813
doi: 10.1159/000448813 pubmed: 27595266
Delcourt C, Huang Y, Arima H et al (2012) Hematoma growth and outcomes in intracerebral hemorrhage: the INTERACT1 study. Neurology. https://doi.org/10.1212/WNL.0b013e318260cbba
doi: 10.1212/WNL.0b013e318260cbba pubmed: 22744655
Fogelholm R, Murros K, Rissanen A, Avikainen S (2005) Long term survival after primary intracerebral haemorrhage: a retrospective population based study. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp.2004.055145
doi: 10.1136/jnnp.2004.055145 pubmed: 16227546 pmcid: 1739413

Auteurs

Albert Sterba (A)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.
Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Neurosurgical Clinic, Kralovske Vinohrady University Hospital, Prague, Czech Republic.
Third Faculty of Medicine, Charles University, Prague, Czech Republic.

Petra Sedova (P)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic. kofronova.petra@mayo.edu.
Faculty of Medicine, Masaryk University, Brno, Czech Republic. kofronova.petra@mayo.edu.
Department of Internal Medicine and Cardiology, University Hospital Brno, Brno, Czech Republic. kofronova.petra@mayo.edu.
Department of Neurology, Mayo Clinic, Rochester, MN, USA. kofronova.petra@mayo.edu.

Robert D Brown (RD)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Albert Stehlik (A)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.
Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Tomas Bryndziar (T)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.
Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Petra Cimflova (P)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.
Clinic of Imaging Methods, St Anne's University Hospital, Brno, Czech Republic.

Miroslav Zvolsky (M)

Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic.

Silvie Belaskova (S)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.

Ingrid Kovacova (I)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.

Josef Bednarik (J)

Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Neurological Clinic, University Hospital Brno, Brno, Czech Republic.

Robert Mikulík (R)

International Clinical Research Center, St Anne's University Hospital, Brno, Czech Republic.
Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Neurological Clinic, St Anne's University Hospital, Brno, Czech Republic.

Classifications MeSH