Physical impairment and perceived general health preceding critical illness is predictive of survival
We hypothesized that item response based assessment of physical reserve preceding ICU admission is a predictor of survival. We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical componen...
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Veröffentlicht in: | Journal of critical care 2019-06, Vol.51, p.51-56 |
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creator | Hofhuis, José G.M. Abu-Hanna, Ameen de Zwart, Lisa Hovingh, Aly Spronk, Peter E. |
description | We hypothesized that item response based assessment of physical reserve preceding ICU admission is a predictor of survival.
We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical component score (PCS-12) from the Short-form 12 (SF-12) before admission by patients or by close proxies within 72 h after ICU admission during 1 year.
We developed four logistic regression models to predict 1 year mortality using the predictors age, gender, ALDS, SF-1, PCS-12. A total of 510 patients participated. Twelve months after ICU discharge, 110 patients (22%) had died. Pre-admission ALDS (p = .004), and SF-1 (p = .012) improved the prediction models with age and gender PCS-12 showed no association with mortality (p = .062). Adding the ALDS (p = .049) and the SF-1 (p = .048) to a model with age, gender and the APACHE II score (improved the model. Adding PCS-12 showed no association with mortality (p = .355).
Physical reserve as assessed by ALDS and perceived general health, preceding ICU admission is predictive of mortality. Obtaining patient's physical reserve or pre-existing perceived general health should be part of routine assessment whether a patient may benefit from ICU admission.
•Next to age and gender, pre-ICU admission general health status is important to predict mortality.•Adding APACHE II score after ICU admission had occurred improved the model's predictive property.•ALDS and SF-1 nomograms may help to estimate the mortality risk for individual patients in practice. |
doi_str_mv | 10.1016/j.jcrc.2019.01.027 |
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We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical component score (PCS-12) from the Short-form 12 (SF-12) before admission by patients or by close proxies within 72 h after ICU admission during 1 year.
We developed four logistic regression models to predict 1 year mortality using the predictors age, gender, ALDS, SF-1, PCS-12. A total of 510 patients participated. Twelve months after ICU discharge, 110 patients (22%) had died. Pre-admission ALDS (p = .004), and SF-1 (p = .012) improved the prediction models with age and gender PCS-12 showed no association with mortality (p = .062). Adding the ALDS (p = .049) and the SF-1 (p = .048) to a model with age, gender and the APACHE II score (improved the model. Adding PCS-12 showed no association with mortality (p = .355).
Physical reserve as assessed by ALDS and perceived general health, preceding ICU admission is predictive of mortality. Obtaining patient's physical reserve or pre-existing perceived general health should be part of routine assessment whether a patient may benefit from ICU admission.
•Next to age and gender, pre-ICU admission general health status is important to predict mortality.•Adding APACHE II score after ICU admission had occurred improved the model's predictive property.•ALDS and SF-1 nomograms may help to estimate the mortality risk for individual patients in practice.</description><identifier>ISSN: 0883-9441</identifier><identifier>EISSN: 1557-8615</identifier><identifier>DOI: 10.1016/j.jcrc.2019.01.027</identifier><identifier>PMID: 30745286</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Age ; Clinical outcomes ; Critical care ; Critical illness ; Gender ; Hospitals ; Mortality ; Nomogram ; Outcome ; Pathology ; Patients ; Physical fitness ; Physical reserve ; Quality of life</subject><ispartof>Journal of critical care, 2019-06, Vol.51, p.51-56</ispartof><rights>2019</rights><rights>Copyright © 2019. Published by Elsevier Inc.</rights><rights>Copyright Elsevier Limited Jun 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-29cce5f2fe2df77c685d668f3fa5d5e1ce06cbdafdecbe915bb17d1b4134cda43</citedby><cites>FETCH-LOGICAL-c384t-29cce5f2fe2df77c685d668f3fa5d5e1ce06cbdafdecbe915bb17d1b4134cda43</cites><orcidid>0000-0003-4324-7954</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2227796863?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,778,782,3539,27913,27914,45984,64372,64374,64376,72228</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30745286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hofhuis, José G.M.</creatorcontrib><creatorcontrib>Abu-Hanna, Ameen</creatorcontrib><creatorcontrib>de Zwart, Lisa</creatorcontrib><creatorcontrib>Hovingh, Aly</creatorcontrib><creatorcontrib>Spronk, Peter E.</creatorcontrib><title>Physical impairment and perceived general health preceding critical illness is predictive of survival</title><title>Journal of critical care</title><addtitle>J Crit Care</addtitle><description>We hypothesized that item response based assessment of physical reserve preceding ICU admission is a predictor of survival.
We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical component score (PCS-12) from the Short-form 12 (SF-12) before admission by patients or by close proxies within 72 h after ICU admission during 1 year.
We developed four logistic regression models to predict 1 year mortality using the predictors age, gender, ALDS, SF-1, PCS-12. A total of 510 patients participated. Twelve months after ICU discharge, 110 patients (22%) had died. Pre-admission ALDS (p = .004), and SF-1 (p = .012) improved the prediction models with age and gender PCS-12 showed no association with mortality (p = .062). Adding the ALDS (p = .049) and the SF-1 (p = .048) to a model with age, gender and the APACHE II score (improved the model. Adding PCS-12 showed no association with mortality (p = .355).
Physical reserve as assessed by ALDS and perceived general health, preceding ICU admission is predictive of mortality. Obtaining patient's physical reserve or pre-existing perceived general health should be part of routine assessment whether a patient may benefit from ICU admission.
•Next to age and gender, pre-ICU admission general health status is important to predict mortality.•Adding APACHE II score after ICU admission had occurred improved the model's predictive property.•ALDS and SF-1 nomograms may help to estimate the mortality risk for individual patients in practice.</description><subject>Age</subject><subject>Clinical outcomes</subject><subject>Critical care</subject><subject>Critical illness</subject><subject>Gender</subject><subject>Hospitals</subject><subject>Mortality</subject><subject>Nomogram</subject><subject>Outcome</subject><subject>Pathology</subject><subject>Patients</subject><subject>Physical fitness</subject><subject>Physical reserve</subject><subject>Quality of life</subject><issn>0883-9441</issn><issn>1557-8615</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kUtrFTEYhoMo9lj9Ay4k4MbNTHOZXAbcSKkXKLSLug6Z5EtPhrmZzBzovzfDqS5cuMrie56X8L4IvaekpoTKq77uXXI1I7StCa0JUy_QgQqhKi2peIkORGtetU1DL9CbnHtCqOJcvEYXnKhGMC0PCO6PTzk6O-A4LjamEaYV28njBZKDeAKPH2GCVIAj2GE94iWBAx-nR-xSXM_qMEyQM455v_ro1iLiOeC8pVM82eEtehXskOHd83uJfn69ebj-Xt3efftx_eW2clw3a8Va50AEFoD5oJSTWngpdeDBCi-AOiDSdd4GD66Dloquo8rTrqG8cd42_BJ9Oucuaf61QV7NGLODYbATzFs2jGpOtdRcFPTjP2g_b2kqvzOMMaVaqSUvFDtTLs05JwhmSXG06clQYvYRTG_2Ecw-giHUlBGK9OE5eutG8H-VP60X4PMZgNLFKUIy2UWY9lpLuavxc_xf_m9vNJrq</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Hofhuis, José G.M.</creator><creator>Abu-Hanna, Ameen</creator><creator>de Zwart, Lisa</creator><creator>Hovingh, Aly</creator><creator>Spronk, Peter E.</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4324-7954</orcidid></search><sort><creationdate>201906</creationdate><title>Physical impairment and perceived general health preceding critical illness is predictive of survival</title><author>Hofhuis, José G.M. ; Abu-Hanna, Ameen ; de Zwart, Lisa ; Hovingh, Aly ; Spronk, Peter E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-29cce5f2fe2df77c685d668f3fa5d5e1ce06cbdafdecbe915bb17d1b4134cda43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Age</topic><topic>Clinical outcomes</topic><topic>Critical care</topic><topic>Critical illness</topic><topic>Gender</topic><topic>Hospitals</topic><topic>Mortality</topic><topic>Nomogram</topic><topic>Outcome</topic><topic>Pathology</topic><topic>Patients</topic><topic>Physical fitness</topic><topic>Physical reserve</topic><topic>Quality of life</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hofhuis, José G.M.</creatorcontrib><creatorcontrib>Abu-Hanna, Ameen</creatorcontrib><creatorcontrib>de Zwart, Lisa</creatorcontrib><creatorcontrib>Hovingh, Aly</creatorcontrib><creatorcontrib>Spronk, Peter E.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of critical care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hofhuis, José G.M.</au><au>Abu-Hanna, Ameen</au><au>de Zwart, Lisa</au><au>Hovingh, Aly</au><au>Spronk, Peter E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physical impairment and perceived general health preceding critical illness is predictive of survival</atitle><jtitle>Journal of critical care</jtitle><addtitle>J Crit Care</addtitle><date>2019-06</date><risdate>2019</risdate><volume>51</volume><spage>51</spage><epage>56</epage><pages>51-56</pages><issn>0883-9441</issn><eissn>1557-8615</eissn><abstract>We hypothesized that item response based assessment of physical reserve preceding ICU admission is a predictor of survival.
We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical component score (PCS-12) from the Short-form 12 (SF-12) before admission by patients or by close proxies within 72 h after ICU admission during 1 year.
We developed four logistic regression models to predict 1 year mortality using the predictors age, gender, ALDS, SF-1, PCS-12. A total of 510 patients participated. Twelve months after ICU discharge, 110 patients (22%) had died. Pre-admission ALDS (p = .004), and SF-1 (p = .012) improved the prediction models with age and gender PCS-12 showed no association with mortality (p = .062). Adding the ALDS (p = .049) and the SF-1 (p = .048) to a model with age, gender and the APACHE II score (improved the model. Adding PCS-12 showed no association with mortality (p = .355).
Physical reserve as assessed by ALDS and perceived general health, preceding ICU admission is predictive of mortality. Obtaining patient's physical reserve or pre-existing perceived general health should be part of routine assessment whether a patient may benefit from ICU admission.
•Next to age and gender, pre-ICU admission general health status is important to predict mortality.•Adding APACHE II score after ICU admission had occurred improved the model's predictive property.•ALDS and SF-1 nomograms may help to estimate the mortality risk for individual patients in practice.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30745286</pmid><doi>10.1016/j.jcrc.2019.01.027</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-4324-7954</orcidid></addata></record> |
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subjects | Age Clinical outcomes Critical care Critical illness Gender Hospitals Mortality Nomogram Outcome Pathology Patients Physical fitness Physical reserve Quality of life |
title | Physical impairment and perceived general health preceding critical illness is predictive of survival |
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