Time patterns in mortality after an emergency medical admission; relationship to weekday or weekend admission

Abstract Background The aim of this study was to detail the time profile and frequency distribution of mortality following an emergency admission and to compare these for weekday and weekend admissions. Methods We profiled in-hospital deaths following emergency medical admission between 2002 and 201...

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Veröffentlicht in:European journal of internal medicine 2016-12, Vol.36, p.44-49
Hauptverfasser: Conway, Richard, Cournane, Sean, Byrne, Declan, O'Riordan, Deirdre, Silke, Bernard
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container_end_page 49
container_issue
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container_title European journal of internal medicine
container_volume 36
creator Conway, Richard
Cournane, Sean
Byrne, Declan
O'Riordan, Deirdre
Silke, Bernard
description Abstract Background The aim of this study was to detail the time profile and frequency distribution of mortality following an emergency admission and to compare these for weekday and weekend admissions. Methods We profiled in-hospital deaths following emergency medical admission between 2002 and 2014. We determined the frequency distribution, time pattern, causality and influence of day of admission on mortality out to 120 days. We utilized a multivariable regression model (logistic for in-hospital mortality and truncated Poisson for count data) to adjust for major predictor variables. Results There were 82,368 admissions in 44,628 patients with 4587 in-hospital deaths. The 30-day in-hospital mortality declined from 8.2% in 2002 to 3.7% in 2014. The mortality pattern showed an exponential decay over time; the time to death was best described by the three-parameter Weibull model. The calculated time to death for the 5th, 10th, 25th, 50th, 75th, and 90th centiles were 0.5, 1.2, 3.8, 11.1, 26.3 and 49.3 days. Acute Illness Severity Score, Chronic Disabling Disease Score, Charlson Co-Morbidity Index and Sepsis status were associated with mortality. The risk of death was initially high, lower by day 3, and showed a cumulative increase over time. The mortality pattern was very similar between a weekday or weekend admission; however, the risk of death was greater at all time points between 0 and 120 days for patients admitted at a weekend OR 1.08 (95% CI 1.01–1.15). Conclusion We have demonstrated the pattern of mortality following an emergency admission. The underlying pattern is similar between weekday and weekend admissions.
doi_str_mv 10.1016/j.ejim.2016.08.010
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Methods We profiled in-hospital deaths following emergency medical admission between 2002 and 2014. We determined the frequency distribution, time pattern, causality and influence of day of admission on mortality out to 120 days. We utilized a multivariable regression model (logistic for in-hospital mortality and truncated Poisson for count data) to adjust for major predictor variables. Results There were 82,368 admissions in 44,628 patients with 4587 in-hospital deaths. The 30-day in-hospital mortality declined from 8.2% in 2002 to 3.7% in 2014. The mortality pattern showed an exponential decay over time; the time to death was best described by the three-parameter Weibull model. The calculated time to death for the 5th, 10th, 25th, 50th, 75th, and 90th centiles were 0.5, 1.2, 3.8, 11.1, 26.3 and 49.3 days. Acute Illness Severity Score, Chronic Disabling Disease Score, Charlson Co-Morbidity Index and Sepsis status were associated with mortality. The risk of death was initially high, lower by day 3, and showed a cumulative increase over time. The mortality pattern was very similar between a weekday or weekend admission; however, the risk of death was greater at all time points between 0 and 120 days for patients admitted at a weekend OR 1.08 (95% CI 1.01–1.15). Conclusion We have demonstrated the pattern of mortality following an emergency admission. The underlying pattern is similar between weekday and weekend admissions.</description><identifier>ISSN: 0953-6205</identifier><identifier>EISSN: 1879-0828</identifier><identifier>DOI: 10.1016/j.ejim.2016.08.010</identifier><identifier>PMID: 27545643</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adult ; Age Factors ; Aged ; Aged, 80 and over ; Comorbidity ; Emergencies ; Emergency admissions ; Female ; Frequency time distribution ; Hospital Mortality ; Hospitalization - statistics &amp; numerical data ; Humans ; Internal Medicine ; Ireland - epidemiology ; Length of Stay - statistics &amp; numerical data ; Male ; Middle Aged ; Mortality ; Patient Readmission - statistics &amp; numerical data ; Retrospective Studies ; Risk Factors ; Sepsis - epidemiology ; Severity of Illness Index ; Time Factors</subject><ispartof>European journal of internal medicine, 2016-12, Vol.36, p.44-49</ispartof><rights>European Federation of Internal Medicine.</rights><rights>2016 European Federation of Internal Medicine.</rights><rights>Copyright © 2016 European Federation of Internal Medicine. 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Methods We profiled in-hospital deaths following emergency medical admission between 2002 and 2014. We determined the frequency distribution, time pattern, causality and influence of day of admission on mortality out to 120 days. We utilized a multivariable regression model (logistic for in-hospital mortality and truncated Poisson for count data) to adjust for major predictor variables. Results There were 82,368 admissions in 44,628 patients with 4587 in-hospital deaths. The 30-day in-hospital mortality declined from 8.2% in 2002 to 3.7% in 2014. The mortality pattern showed an exponential decay over time; the time to death was best described by the three-parameter Weibull model. The calculated time to death for the 5th, 10th, 25th, 50th, 75th, and 90th centiles were 0.5, 1.2, 3.8, 11.1, 26.3 and 49.3 days. Acute Illness Severity Score, Chronic Disabling Disease Score, Charlson Co-Morbidity Index and Sepsis status were associated with mortality. The risk of death was initially high, lower by day 3, and showed a cumulative increase over time. The mortality pattern was very similar between a weekday or weekend admission; however, the risk of death was greater at all time points between 0 and 120 days for patients admitted at a weekend OR 1.08 (95% CI 1.01–1.15). Conclusion We have demonstrated the pattern of mortality following an emergency admission. The underlying pattern is similar between weekday and weekend admissions.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Comorbidity</subject><subject>Emergencies</subject><subject>Emergency admissions</subject><subject>Female</subject><subject>Frequency time distribution</subject><subject>Hospital Mortality</subject><subject>Hospitalization - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Ireland - epidemiology</subject><subject>Length of Stay - statistics &amp; numerical data</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Patient Readmission - statistics &amp; numerical data</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Sepsis - epidemiology</subject><subject>Severity of Illness Index</subject><subject>Time Factors</subject><issn>0953-6205</issn><issn>1879-0828</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1v1DAQxS1ERbeFf4AD8pFLwoy_khUIqaqgIFXi0PZseZMJOM3HYntB-e9x2AISh578ZL33NPMbxl4ilAho3vQl9X4sRdYl1CUgPGEbrKttAbWon7INbLUsjAB9ys5i7AGwApDP2KmotNJGyQ0bb_1IfO9SojBF7ic-ziG5waeFuy5_cjdxGil8palZ-Eitb9zAXTv6GP08veWBBpeyit_8nqeZ_yS6b93C5_Bb0tT-cz9nJ50bIr14eM_Z3ccPt5efiusvV58vL66LRiGmwhhlttoQCaEEGew6dNAqjZVToKRCwraDvF0lu2pXVxLUVuOupVYSNjuS5-z1sXcf5u8HisnmARoaBjfRfIgWay2MNpWQ2SqO1ibMMQbq7D740YXFItgVs-3titmumC3UNmPOoVcP_YddRvI38odrNrw7Gihv-cNTsLHxmWDGF6hJtp394_3v_4s3g59W8ve0UOznQ5gyP4s2Cgv2Zj30emc0EoQGKX8BPL6kJA</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Conway, Richard</creator><creator>Cournane, Sean</creator><creator>Byrne, Declan</creator><creator>O'Riordan, Deirdre</creator><creator>Silke, Bernard</creator><general>Elsevier B.V</general><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></search><sort><creationdate>20161201</creationdate><title>Time patterns in mortality after an emergency medical admission; 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numerical data</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Sepsis - epidemiology</topic><topic>Severity of Illness Index</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Conway, Richard</creatorcontrib><creatorcontrib>Cournane, Sean</creatorcontrib><creatorcontrib>Byrne, Declan</creatorcontrib><creatorcontrib>O'Riordan, Deirdre</creatorcontrib><creatorcontrib>Silke, Bernard</creatorcontrib><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><jtitle>European journal of internal medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Conway, Richard</au><au>Cournane, Sean</au><au>Byrne, Declan</au><au>O'Riordan, Deirdre</au><au>Silke, Bernard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time patterns in mortality after an emergency medical admission; 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Methods We profiled in-hospital deaths following emergency medical admission between 2002 and 2014. We determined the frequency distribution, time pattern, causality and influence of day of admission on mortality out to 120 days. We utilized a multivariable regression model (logistic for in-hospital mortality and truncated Poisson for count data) to adjust for major predictor variables. Results There were 82,368 admissions in 44,628 patients with 4587 in-hospital deaths. The 30-day in-hospital mortality declined from 8.2% in 2002 to 3.7% in 2014. The mortality pattern showed an exponential decay over time; the time to death was best described by the three-parameter Weibull model. The calculated time to death for the 5th, 10th, 25th, 50th, 75th, and 90th centiles were 0.5, 1.2, 3.8, 11.1, 26.3 and 49.3 days. Acute Illness Severity Score, Chronic Disabling Disease Score, Charlson Co-Morbidity Index and Sepsis status were associated with mortality. The risk of death was initially high, lower by day 3, and showed a cumulative increase over time. The mortality pattern was very similar between a weekday or weekend admission; however, the risk of death was greater at all time points between 0 and 120 days for patients admitted at a weekend OR 1.08 (95% CI 1.01–1.15). Conclusion We have demonstrated the pattern of mortality following an emergency admission. The underlying pattern is similar between weekday and weekend admissions.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>27545643</pmid><doi>10.1016/j.ejim.2016.08.010</doi><tpages>6</tpages></addata></record>
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subjects Adult
Age Factors
Aged
Aged, 80 and over
Comorbidity
Emergencies
Emergency admissions
Female
Frequency time distribution
Hospital Mortality
Hospitalization - statistics & numerical data
Humans
Internal Medicine
Ireland - epidemiology
Length of Stay - statistics & numerical data
Male
Middle Aged
Mortality
Patient Readmission - statistics & numerical data
Retrospective Studies
Risk Factors
Sepsis - epidemiology
Severity of Illness Index
Time Factors
title Time patterns in mortality after an emergency medical admission; relationship to weekday or weekend admission
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