Frailty and Early Hospital Readmission After Kidney Transplantation
Early hospital readmission (EHR) after kidney transplantation (KT) is associated with increased morbidity and higher costs. Registry‐based recipient, transplant and center‐level predictors of EHR are limited, and novel predictors are needed. We hypothesized that frailty, a measure of physiologic res...
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Veröffentlicht in: | American journal of transplantation 2013-08, Vol.13 (8), p.2091-2095 |
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creator | McAdams‐DeMarco, M. A. Law, A. Salter, M. L. Chow, E. Grams, M. Walston, J. Segev, D. L. |
description | Early hospital readmission (EHR) after kidney transplantation (KT) is associated with increased morbidity and higher costs. Registry‐based recipient, transplant and center‐level predictors of EHR are limited, and novel predictors are needed. We hypothesized that frailty, a measure of physiologic reserve initially described and validated in geriatrics and recently associated with early KT outcomes, might serve as a novel, independent predictor of EHR in KT recipients of all ages. We measured frailty in 383 KT recipients at Johns Hopkins Hospital. EHR was ascertained from medical records as ≥1 hospitalization within 30 days of initial post‐KT discharge. Frail KT recipients were much more likely to experience EHR (45.8% vs. 28.0%, p = 0.005), regardless of age. After adjusting for previously described registry‐based risk factors, frailty independently predicted 61% higher risk of EHR (adjusted RR = 1.61, 95% CI: 1.18–2.19, p = 0.002). In addition, frailty improved EHR risk prediction by improving the area under the receiver operating characteristic curve (p = 0.01) as well as the net reclassification index (p = 0.04). Identifying frail KT recipients for targeted outpatient monitoring and intervention may reduce EHR rates.
In a prospective longitudinal cohort study of kidney transplant recipients, the authors find that frailty was a strong predictor of hospital readmission within 30 days of transplantation, improving risk prediction above and beyond registry‐based predictors. |
doi_str_mv | 10.1111/ajt.12300 |
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In a prospective longitudinal cohort study of kidney transplant recipients, the authors find that frailty was a strong predictor of hospital readmission within 30 days of transplantation, improving risk prediction above and beyond registry‐based predictors.</description><identifier>ISSN: 1600-6135</identifier><identifier>EISSN: 1600-6143</identifier><identifier>DOI: 10.1111/ajt.12300</identifier><identifier>PMID: 23731461</identifier><language>eng</language><publisher>Hoboken, NJ: Wiley</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Female ; Frail Elderly - statistics & numerical data ; Frailty ; Geriatrics ; Hospitalization ; Humans ; Kidney Failure, Chronic - therapy ; Kidney Transplantation ; Length of Stay ; Longitudinal Studies ; Medical sciences ; Middle Aged ; Older people ; Patient Readmission - statistics & numerical data ; Prospective Studies ; readmission ; Risk Factors ; ROC Curve ; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases ; Surgery of the urinary system ; Survival Rate ; transplantation ; Transplants & implants</subject><ispartof>American journal of transplantation, 2013-08, Vol.13 (8), p.2091-2095</ispartof><rights>Copyright 2013 The American Society of Transplantation and the American Society of Transplant Surgeons</rights><rights>2014 INIST-CNRS</rights><rights>Copyright 2013 The American Society of Transplantation and the American Society of Transplant Surgeons.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5720-c5cdb717b922bd3f28672f248b51b2e6e810abc2d46f56f5b28441264b7c0f153</citedby><cites>FETCH-LOGICAL-c5720-c5cdb717b922bd3f28672f248b51b2e6e810abc2d46f56f5b28441264b7c0f153</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fajt.12300$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fajt.12300$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27668032$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23731461$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McAdams‐DeMarco, M. A.</creatorcontrib><creatorcontrib>Law, A.</creatorcontrib><creatorcontrib>Salter, M. L.</creatorcontrib><creatorcontrib>Chow, E.</creatorcontrib><creatorcontrib>Grams, M.</creatorcontrib><creatorcontrib>Walston, J.</creatorcontrib><creatorcontrib>Segev, D. L.</creatorcontrib><title>Frailty and Early Hospital Readmission After Kidney Transplantation</title><title>American journal of transplantation</title><addtitle>Am J Transplant</addtitle><description>Early hospital readmission (EHR) after kidney transplantation (KT) is associated with increased morbidity and higher costs. Registry‐based recipient, transplant and center‐level predictors of EHR are limited, and novel predictors are needed. We hypothesized that frailty, a measure of physiologic reserve initially described and validated in geriatrics and recently associated with early KT outcomes, might serve as a novel, independent predictor of EHR in KT recipients of all ages. We measured frailty in 383 KT recipients at Johns Hopkins Hospital. EHR was ascertained from medical records as ≥1 hospitalization within 30 days of initial post‐KT discharge. Frail KT recipients were much more likely to experience EHR (45.8% vs. 28.0%, p = 0.005), regardless of age. After adjusting for previously described registry‐based risk factors, frailty independently predicted 61% higher risk of EHR (adjusted RR = 1.61, 95% CI: 1.18–2.19, p = 0.002). In addition, frailty improved EHR risk prediction by improving the area under the receiver operating characteristic curve (p = 0.01) as well as the net reclassification index (p = 0.04). Identifying frail KT recipients for targeted outpatient monitoring and intervention may reduce EHR rates.
In a prospective longitudinal cohort study of kidney transplant recipients, the authors find that frailty was a strong predictor of hospital readmission within 30 days of transplantation, improving risk prediction above and beyond registry‐based predictors.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Female</subject><subject>Frail Elderly - statistics & numerical data</subject><subject>Frailty</subject><subject>Geriatrics</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Kidney Failure, Chronic - therapy</subject><subject>Kidney Transplantation</subject><subject>Length of Stay</subject><subject>Longitudinal Studies</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Older people</subject><subject>Patient Readmission - statistics & numerical data</subject><subject>Prospective Studies</subject><subject>readmission</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</subject><subject>Surgery of the urinary system</subject><subject>Survival Rate</subject><subject>transplantation</subject><subject>Transplants & implants</subject><issn>1600-6135</issn><issn>1600-6143</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkVtrGzEQhUVJaS7tQ_9AWAiB9MGJNLruS8CYpGkbCBT3WUhabSsj7zrSOmX_feXadS9QIoQkmI8zc3QQekvwJSnryiyGSwIU4xfoiAiMJ4IwerB_U36IjnNeYEwkKHiFDoFKSpggR2h2m0yIw1iZrqluTIpjddfnVRhMrD570yxDzqHvqmk7-FR9Ck3nx2qeTJdX0XSDGUrxNXrZmpj9m919gr7c3sxnd5P7h_cfZtP7ieMScDldYyWRtgawDW1BCQktMGU5seCFVwQb66BhouVlW1CMERDMSodbwukJut7qrtZ26RvnuyGZqFcpLE0adW-C_rvShW_6a_-kGcaYC1kELnYCqX9c-zzoYs_5WJz4fp01kYoDVVLg51FGOK_rWm3GOvsHXfTr1JWf2FDAqRKiLtS7LeVSn3Py7X5ugvUmRV1S1D9TLOzpn0b35K_YCnC-A0x2JrYlDxfyb04KoTCFwl1tue8h-vH_HfX043zb-gfB6bIN</recordid><startdate>201308</startdate><enddate>201308</enddate><creator>McAdams‐DeMarco, M. A.</creator><creator>Law, A.</creator><creator>Salter, M. L.</creator><creator>Chow, E.</creator><creator>Grams, M.</creator><creator>Walston, J.</creator><creator>Segev, D. L.</creator><general>Wiley</general><general>Elsevier Limited</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>7QP</scope><scope>7T5</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201308</creationdate><title>Frailty and Early Hospital Readmission After Kidney Transplantation</title><author>McAdams‐DeMarco, M. A. ; Law, A. ; Salter, M. L. ; Chow, E. ; Grams, M. ; Walston, J. ; Segev, D. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5720-c5cdb717b922bd3f28672f248b51b2e6e810abc2d46f56f5b28441264b7c0f153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Female</topic><topic>Frail Elderly - statistics & numerical data</topic><topic>Frailty</topic><topic>Geriatrics</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Kidney Failure, Chronic - therapy</topic><topic>Kidney Transplantation</topic><topic>Length of Stay</topic><topic>Longitudinal Studies</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Older people</topic><topic>Patient Readmission - statistics & numerical data</topic><topic>Prospective Studies</topic><topic>readmission</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</topic><topic>Surgery of the urinary system</topic><topic>Survival Rate</topic><topic>transplantation</topic><topic>Transplants & implants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McAdams‐DeMarco, M. A.</creatorcontrib><creatorcontrib>Law, A.</creatorcontrib><creatorcontrib>Salter, M. L.</creatorcontrib><creatorcontrib>Chow, E.</creatorcontrib><creatorcontrib>Grams, M.</creatorcontrib><creatorcontrib>Walston, J.</creatorcontrib><creatorcontrib>Segev, D. L.</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>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of transplantation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McAdams‐DeMarco, M. A.</au><au>Law, A.</au><au>Salter, M. L.</au><au>Chow, E.</au><au>Grams, M.</au><au>Walston, J.</au><au>Segev, D. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Frailty and Early Hospital Readmission After Kidney Transplantation</atitle><jtitle>American journal of transplantation</jtitle><addtitle>Am J Transplant</addtitle><date>2013-08</date><risdate>2013</risdate><volume>13</volume><issue>8</issue><spage>2091</spage><epage>2095</epage><pages>2091-2095</pages><issn>1600-6135</issn><eissn>1600-6143</eissn><abstract>Early hospital readmission (EHR) after kidney transplantation (KT) is associated with increased morbidity and higher costs. Registry‐based recipient, transplant and center‐level predictors of EHR are limited, and novel predictors are needed. We hypothesized that frailty, a measure of physiologic reserve initially described and validated in geriatrics and recently associated with early KT outcomes, might serve as a novel, independent predictor of EHR in KT recipients of all ages. We measured frailty in 383 KT recipients at Johns Hopkins Hospital. EHR was ascertained from medical records as ≥1 hospitalization within 30 days of initial post‐KT discharge. Frail KT recipients were much more likely to experience EHR (45.8% vs. 28.0%, p = 0.005), regardless of age. After adjusting for previously described registry‐based risk factors, frailty independently predicted 61% higher risk of EHR (adjusted RR = 1.61, 95% CI: 1.18–2.19, p = 0.002). In addition, frailty improved EHR risk prediction by improving the area under the receiver operating characteristic curve (p = 0.01) as well as the net reclassification index (p = 0.04). Identifying frail KT recipients for targeted outpatient monitoring and intervention may reduce EHR rates.
In a prospective longitudinal cohort study of kidney transplant recipients, the authors find that frailty was a strong predictor of hospital readmission within 30 days of transplantation, improving risk prediction above and beyond registry‐based predictors.</abstract><cop>Hoboken, NJ</cop><pub>Wiley</pub><pmid>23731461</pmid><doi>10.1111/ajt.12300</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Biological and medical sciences Female Frail Elderly - statistics & numerical data Frailty Geriatrics Hospitalization Humans Kidney Failure, Chronic - therapy Kidney Transplantation Length of Stay Longitudinal Studies Medical sciences Middle Aged Older people Patient Readmission - statistics & numerical data Prospective Studies readmission Risk Factors ROC Curve Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Surgery of the urinary system Survival Rate transplantation Transplants & implants |
title | Frailty and Early Hospital Readmission After Kidney Transplantation |
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