Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit
To determine the extent that demographics, clinical characteristics, comorbidities, and complications contribute to the risk of in-hospital mortality and morbidity in acute stroke. Data of consecutive patients admitted to 14 stroke units cooperating within the Berlin Stroke Register were analyzed. T...
Gespeichert in:
Veröffentlicht in: | Neurology 2011-09, Vol.77 (10), p.965-972 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 972 |
---|---|
container_issue | 10 |
container_start_page | 965 |
container_title | Neurology |
container_volume | 77 |
creator | KOENNECKE, H.-C BELZ, W PÖHLS, W SCHMEHL, I SCHMITZ, B VON BREVERN, M WALTER, G HEUSCHMANN, P. U BERFELDE, D ENDRES, M FITZEK, S HAMILTON, F KREITSCH, P MACKERT, B.-M NABAVI, D. G NOLTE, C. H |
description | To determine the extent that demographics, clinical characteristics, comorbidities, and complications contribute to the risk of in-hospital mortality and morbidity in acute stroke.
Data of consecutive patients admitted to 14 stroke units cooperating within the Berlin Stroke Register were analyzed. The association of demographics, clinical characteristics, comorbidities, and complications with the risk of in-hospital death and poor outcome at discharge was assessed, and independent attributable risks were calculated, applying average sequential attributable fractions.
In a 3-year period, 16,518 consecutive patients with ischemic or hemorrhagic stroke were documented. In-hospital mortality was 5.4%, and 45.7% had a poor outcome (modifed Rankin Scale score ≥3). In patients with length of stay (LOS) ≤7 days, 37.5% of in-hospital deaths were attributed to stroke severity, 23.1% to sociodemographics (age and prestroke disability), and 28.9% to increased intracranial pressure (iICP) and other complications. In those with LOS >7 days, age and stroke severity accounted for 44.1%, whereas pneumonia (12.2%), other complications (12.6%), and iICP (8.3%) contributed to one-third of in-hospital deaths. For poor outcome, attributable risks were similar for prestroke disability, stroke severity, pneumonia, and other complications regardless of the patient's LOS.
Approximately two-thirds of early death and poor outcome in acute stroke is attributed to nonmodifiable predictors, whereas main modifiable factors are early complications such as iICP, pneumonia, or other complications, on which stroke unit treatment should focus to further improve the prognosis of acute stroke. |
doi_str_mv | 10.1212/wnl.0b013e31822dc795 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_902375335</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>898510318</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-136b508aed133ae469b969d868b2b1764c97dbf3edcdb408676e1ee1ddf586163</originalsourceid><addsrcrecordid>eNqFkU1P3DAQhq2KqmyX_gOEfEGcQv0RO86xWgFFWrUXUDlUivwxAUPiLLYjtP--XrG0EpeeZkbzzIfeF6FjSs4po-zrSxjOiSGUA6eKMWebVnxACyqYrCRndwdoQQhTFVeNOkSfU3okpDSb9hM6ZFRJIRq-QL8vtc1TTNiHfpghWB_uS149TGnjsx7wOMUSfN5iHdyuMt7tKh_wRmcPISecI-gMDk8Ba5xynJ4Az8HnI_Sx10OCL_u4RLeXFzer79X659X16tu6sjWvc0W5NIIoDY5yrqGWrWll65RUhhnayNq2jTM9B2edqYmSjQQKQJ3rhZJU8iU6e927idPzDCl3o08WhkEHmObUtYTxRnAu_kuqVglKiqCFrF9JG6eUIvTdJvpRx21HSbczoPv1Y929N6CMnewPzGYE93foTfECnO4Bnawe-qiL5ukfVwsiWPn0D-nikLI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>898510318</pqid></control><display><type>article</type><title>Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit</title><source>MEDLINE</source><source>Alma/SFX Local Collection</source><source>Journals@Ovid Complete</source><creator>KOENNECKE, H.-C ; BELZ, W ; PÖHLS, W ; SCHMEHL, I ; SCHMITZ, B ; VON BREVERN, M ; WALTER, G ; HEUSCHMANN, P. U ; BERFELDE, D ; ENDRES, M ; FITZEK, S ; HAMILTON, F ; KREITSCH, P ; MACKERT, B.-M ; NABAVI, D. G ; NOLTE, C. H</creator><creatorcontrib>KOENNECKE, H.-C ; BELZ, W ; PÖHLS, W ; SCHMEHL, I ; SCHMITZ, B ; VON BREVERN, M ; WALTER, G ; HEUSCHMANN, P. U ; BERFELDE, D ; ENDRES, M ; FITZEK, S ; HAMILTON, F ; KREITSCH, P ; MACKERT, B.-M ; NABAVI, D. G ; NOLTE, C. H ; Berlin Stroke Register Investigators ; For the Berlin Stroke Register Investigators</creatorcontrib><description>To determine the extent that demographics, clinical characteristics, comorbidities, and complications contribute to the risk of in-hospital mortality and morbidity in acute stroke.
Data of consecutive patients admitted to 14 stroke units cooperating within the Berlin Stroke Register were analyzed. The association of demographics, clinical characteristics, comorbidities, and complications with the risk of in-hospital death and poor outcome at discharge was assessed, and independent attributable risks were calculated, applying average sequential attributable fractions.
In a 3-year period, 16,518 consecutive patients with ischemic or hemorrhagic stroke were documented. In-hospital mortality was 5.4%, and 45.7% had a poor outcome (modifed Rankin Scale score ≥3). In patients with length of stay (LOS) ≤7 days, 37.5% of in-hospital deaths were attributed to stroke severity, 23.1% to sociodemographics (age and prestroke disability), and 28.9% to increased intracranial pressure (iICP) and other complications. In those with LOS >7 days, age and stroke severity accounted for 44.1%, whereas pneumonia (12.2%), other complications (12.6%), and iICP (8.3%) contributed to one-third of in-hospital deaths. For poor outcome, attributable risks were similar for prestroke disability, stroke severity, pneumonia, and other complications regardless of the patient's LOS.
Approximately two-thirds of early death and poor outcome in acute stroke is attributed to nonmodifiable predictors, whereas main modifiable factors are early complications such as iICP, pneumonia, or other complications, on which stroke unit treatment should focus to further improve the prognosis of acute stroke.</description><identifier>ISSN: 0028-3878</identifier><identifier>EISSN: 1526-632X</identifier><identifier>DOI: 10.1212/wnl.0b013e31822dc795</identifier><identifier>PMID: 21865573</identifier><identifier>CODEN: NEURAI</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Aged ; Aged, 80 and over ; Biological and medical sciences ; Diabetes Mellitus - economics ; Diabetes Mellitus - epidemiology ; Diabetes Mellitus - mortality ; Female ; Hospital Mortality - trends ; Humans ; Hypertension - economics ; Hypertension - epidemiology ; Hypertension - mortality ; Intracranial Hypertension - economics ; Intracranial Hypertension - epidemiology ; Intracranial Hypertension - mortality ; Length of Stay - economics ; Length of Stay - trends ; Male ; Medical sciences ; Middle Aged ; Morbidity ; Neurology ; Pneumonia - economics ; Pneumonia - epidemiology ; Pneumonia - mortality ; Socioeconomic Factors ; Stroke - economics ; Stroke - epidemiology ; Stroke - mortality ; Treatment Outcome ; Vascular diseases and vascular malformations of the nervous system</subject><ispartof>Neurology, 2011-09, Vol.77 (10), p.965-972</ispartof><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-136b508aed133ae469b969d868b2b1764c97dbf3edcdb408676e1ee1ddf586163</citedby><cites>FETCH-LOGICAL-c434t-136b508aed133ae469b969d868b2b1764c97dbf3edcdb408676e1ee1ddf586163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24505235$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21865573$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>KOENNECKE, H.-C</creatorcontrib><creatorcontrib>BELZ, W</creatorcontrib><creatorcontrib>PÖHLS, W</creatorcontrib><creatorcontrib>SCHMEHL, I</creatorcontrib><creatorcontrib>SCHMITZ, B</creatorcontrib><creatorcontrib>VON BREVERN, M</creatorcontrib><creatorcontrib>WALTER, G</creatorcontrib><creatorcontrib>HEUSCHMANN, P. U</creatorcontrib><creatorcontrib>BERFELDE, D</creatorcontrib><creatorcontrib>ENDRES, M</creatorcontrib><creatorcontrib>FITZEK, S</creatorcontrib><creatorcontrib>HAMILTON, F</creatorcontrib><creatorcontrib>KREITSCH, P</creatorcontrib><creatorcontrib>MACKERT, B.-M</creatorcontrib><creatorcontrib>NABAVI, D. G</creatorcontrib><creatorcontrib>NOLTE, C. H</creatorcontrib><creatorcontrib>Berlin Stroke Register Investigators</creatorcontrib><creatorcontrib>For the Berlin Stroke Register Investigators</creatorcontrib><title>Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit</title><title>Neurology</title><addtitle>Neurology</addtitle><description>To determine the extent that demographics, clinical characteristics, comorbidities, and complications contribute to the risk of in-hospital mortality and morbidity in acute stroke.
Data of consecutive patients admitted to 14 stroke units cooperating within the Berlin Stroke Register were analyzed. The association of demographics, clinical characteristics, comorbidities, and complications with the risk of in-hospital death and poor outcome at discharge was assessed, and independent attributable risks were calculated, applying average sequential attributable fractions.
In a 3-year period, 16,518 consecutive patients with ischemic or hemorrhagic stroke were documented. In-hospital mortality was 5.4%, and 45.7% had a poor outcome (modifed Rankin Scale score ≥3). In patients with length of stay (LOS) ≤7 days, 37.5% of in-hospital deaths were attributed to stroke severity, 23.1% to sociodemographics (age and prestroke disability), and 28.9% to increased intracranial pressure (iICP) and other complications. In those with LOS >7 days, age and stroke severity accounted for 44.1%, whereas pneumonia (12.2%), other complications (12.6%), and iICP (8.3%) contributed to one-third of in-hospital deaths. For poor outcome, attributable risks were similar for prestroke disability, stroke severity, pneumonia, and other complications regardless of the patient's LOS.
Approximately two-thirds of early death and poor outcome in acute stroke is attributed to nonmodifiable predictors, whereas main modifiable factors are early complications such as iICP, pneumonia, or other complications, on which stroke unit treatment should focus to further improve the prognosis of acute stroke.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Diabetes Mellitus - economics</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetes Mellitus - mortality</subject><subject>Female</subject><subject>Hospital Mortality - trends</subject><subject>Humans</subject><subject>Hypertension - economics</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - mortality</subject><subject>Intracranial Hypertension - economics</subject><subject>Intracranial Hypertension - epidemiology</subject><subject>Intracranial Hypertension - mortality</subject><subject>Length of Stay - economics</subject><subject>Length of Stay - trends</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Neurology</subject><subject>Pneumonia - economics</subject><subject>Pneumonia - epidemiology</subject><subject>Pneumonia - mortality</subject><subject>Socioeconomic Factors</subject><subject>Stroke - economics</subject><subject>Stroke - epidemiology</subject><subject>Stroke - mortality</subject><subject>Treatment Outcome</subject><subject>Vascular diseases and vascular malformations of the nervous system</subject><issn>0028-3878</issn><issn>1526-632X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1P3DAQhq2KqmyX_gOEfEGcQv0RO86xWgFFWrUXUDlUivwxAUPiLLYjtP--XrG0EpeeZkbzzIfeF6FjSs4po-zrSxjOiSGUA6eKMWebVnxACyqYrCRndwdoQQhTFVeNOkSfU3okpDSb9hM6ZFRJIRq-QL8vtc1TTNiHfpghWB_uS149TGnjsx7wOMUSfN5iHdyuMt7tKh_wRmcPISecI-gMDk8Ba5xynJ4Az8HnI_Sx10OCL_u4RLeXFzer79X659X16tu6sjWvc0W5NIIoDY5yrqGWrWll65RUhhnayNq2jTM9B2edqYmSjQQKQJ3rhZJU8iU6e927idPzDCl3o08WhkEHmObUtYTxRnAu_kuqVglKiqCFrF9JG6eUIvTdJvpRx21HSbczoPv1Y929N6CMnewPzGYE93foTfECnO4Bnawe-qiL5ukfVwsiWPn0D-nikLI</recordid><startdate>20110906</startdate><enddate>20110906</enddate><creator>KOENNECKE, H.-C</creator><creator>BELZ, W</creator><creator>PÖHLS, W</creator><creator>SCHMEHL, I</creator><creator>SCHMITZ, B</creator><creator>VON BREVERN, M</creator><creator>WALTER, G</creator><creator>HEUSCHMANN, P. U</creator><creator>BERFELDE, D</creator><creator>ENDRES, M</creator><creator>FITZEK, S</creator><creator>HAMILTON, F</creator><creator>KREITSCH, P</creator><creator>MACKERT, B.-M</creator><creator>NABAVI, D. G</creator><creator>NOLTE, C. H</creator><general>Lippincott Williams & Wilkins</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TK</scope></search><sort><creationdate>20110906</creationdate><title>Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit</title><author>KOENNECKE, H.-C ; BELZ, W ; PÖHLS, W ; SCHMEHL, I ; SCHMITZ, B ; VON BREVERN, M ; WALTER, G ; HEUSCHMANN, P. U ; BERFELDE, D ; ENDRES, M ; FITZEK, S ; HAMILTON, F ; KREITSCH, P ; MACKERT, B.-M ; NABAVI, D. G ; NOLTE, C. H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-136b508aed133ae469b969d868b2b1764c97dbf3edcdb408676e1ee1ddf586163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Diabetes Mellitus - economics</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetes Mellitus - mortality</topic><topic>Female</topic><topic>Hospital Mortality - trends</topic><topic>Humans</topic><topic>Hypertension - economics</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - mortality</topic><topic>Intracranial Hypertension - economics</topic><topic>Intracranial Hypertension - epidemiology</topic><topic>Intracranial Hypertension - mortality</topic><topic>Length of Stay - economics</topic><topic>Length of Stay - trends</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Neurology</topic><topic>Pneumonia - economics</topic><topic>Pneumonia - epidemiology</topic><topic>Pneumonia - mortality</topic><topic>Socioeconomic Factors</topic><topic>Stroke - economics</topic><topic>Stroke - epidemiology</topic><topic>Stroke - mortality</topic><topic>Treatment Outcome</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KOENNECKE, H.-C</creatorcontrib><creatorcontrib>BELZ, W</creatorcontrib><creatorcontrib>PÖHLS, W</creatorcontrib><creatorcontrib>SCHMEHL, I</creatorcontrib><creatorcontrib>SCHMITZ, B</creatorcontrib><creatorcontrib>VON BREVERN, M</creatorcontrib><creatorcontrib>WALTER, G</creatorcontrib><creatorcontrib>HEUSCHMANN, P. U</creatorcontrib><creatorcontrib>BERFELDE, D</creatorcontrib><creatorcontrib>ENDRES, M</creatorcontrib><creatorcontrib>FITZEK, S</creatorcontrib><creatorcontrib>HAMILTON, F</creatorcontrib><creatorcontrib>KREITSCH, P</creatorcontrib><creatorcontrib>MACKERT, B.-M</creatorcontrib><creatorcontrib>NABAVI, D. G</creatorcontrib><creatorcontrib>NOLTE, C. H</creatorcontrib><creatorcontrib>Berlin Stroke Register Investigators</creatorcontrib><creatorcontrib>For the Berlin Stroke Register Investigators</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><jtitle>Neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KOENNECKE, H.-C</au><au>BELZ, W</au><au>PÖHLS, W</au><au>SCHMEHL, I</au><au>SCHMITZ, B</au><au>VON BREVERN, M</au><au>WALTER, G</au><au>HEUSCHMANN, P. U</au><au>BERFELDE, D</au><au>ENDRES, M</au><au>FITZEK, S</au><au>HAMILTON, F</au><au>KREITSCH, P</au><au>MACKERT, B.-M</au><au>NABAVI, D. G</au><au>NOLTE, C. H</au><aucorp>Berlin Stroke Register Investigators</aucorp><aucorp>For the Berlin Stroke Register Investigators</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit</atitle><jtitle>Neurology</jtitle><addtitle>Neurology</addtitle><date>2011-09-06</date><risdate>2011</risdate><volume>77</volume><issue>10</issue><spage>965</spage><epage>972</epage><pages>965-972</pages><issn>0028-3878</issn><eissn>1526-632X</eissn><coden>NEURAI</coden><abstract>To determine the extent that demographics, clinical characteristics, comorbidities, and complications contribute to the risk of in-hospital mortality and morbidity in acute stroke.
Data of consecutive patients admitted to 14 stroke units cooperating within the Berlin Stroke Register were analyzed. The association of demographics, clinical characteristics, comorbidities, and complications with the risk of in-hospital death and poor outcome at discharge was assessed, and independent attributable risks were calculated, applying average sequential attributable fractions.
In a 3-year period, 16,518 consecutive patients with ischemic or hemorrhagic stroke were documented. In-hospital mortality was 5.4%, and 45.7% had a poor outcome (modifed Rankin Scale score ≥3). In patients with length of stay (LOS) ≤7 days, 37.5% of in-hospital deaths were attributed to stroke severity, 23.1% to sociodemographics (age and prestroke disability), and 28.9% to increased intracranial pressure (iICP) and other complications. In those with LOS >7 days, age and stroke severity accounted for 44.1%, whereas pneumonia (12.2%), other complications (12.6%), and iICP (8.3%) contributed to one-third of in-hospital deaths. For poor outcome, attributable risks were similar for prestroke disability, stroke severity, pneumonia, and other complications regardless of the patient's LOS.
Approximately two-thirds of early death and poor outcome in acute stroke is attributed to nonmodifiable predictors, whereas main modifiable factors are early complications such as iICP, pneumonia, or other complications, on which stroke unit treatment should focus to further improve the prognosis of acute stroke.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>21865573</pmid><doi>10.1212/wnl.0b013e31822dc795</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0028-3878 |
ispartof | Neurology, 2011-09, Vol.77 (10), p.965-972 |
issn | 0028-3878 1526-632X |
language | eng |
recordid | cdi_proquest_miscellaneous_902375335 |
source | MEDLINE; Alma/SFX Local Collection; Journals@Ovid Complete |
subjects | Aged Aged, 80 and over Biological and medical sciences Diabetes Mellitus - economics Diabetes Mellitus - epidemiology Diabetes Mellitus - mortality Female Hospital Mortality - trends Humans Hypertension - economics Hypertension - epidemiology Hypertension - mortality Intracranial Hypertension - economics Intracranial Hypertension - epidemiology Intracranial Hypertension - mortality Length of Stay - economics Length of Stay - trends Male Medical sciences Middle Aged Morbidity Neurology Pneumonia - economics Pneumonia - epidemiology Pneumonia - mortality Socioeconomic Factors Stroke - economics Stroke - epidemiology Stroke - mortality Treatment Outcome Vascular diseases and vascular malformations of the nervous system |
title | Factors influencing in-hospital mortality and morbidity in patients treated on a stroke unit |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T21%3A31%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Factors%20influencing%20in-hospital%20mortality%20and%20morbidity%20in%20patients%20treated%20on%20a%20stroke%20unit&rft.jtitle=Neurology&rft.au=KOENNECKE,%20H.-C&rft.aucorp=Berlin%20Stroke%20Register%20Investigators&rft.date=2011-09-06&rft.volume=77&rft.issue=10&rft.spage=965&rft.epage=972&rft.pages=965-972&rft.issn=0028-3878&rft.eissn=1526-632X&rft.coden=NEURAI&rft_id=info:doi/10.1212/wnl.0b013e31822dc795&rft_dat=%3Cproquest_cross%3E898510318%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=898510318&rft_id=info:pmid/21865573&rfr_iscdi=true |