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Risk of hospital readmission and associated factors after a positive sample for a multidrug-resistant microorganism

Abstract Background To determine the risk of hospital readmission and associated factors in patients with a positive sample for multidrug-resistant microorganisms (MRM) and to analyze whether there is a higher risk of hospital readmission with some of the more common MRM. Methods Retrospective cohor...

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Published in:European journal of public health 2019-10, Vol.29 (5), p.981-986
Main Authors: Sentís, Alexis, González, Cristina, Montero, Maria, Herranz, Milagros, Hidalgo, Carlota, Campà, Cristina, Sala, Maria, Macià, Francesc, Román, Marta, Prats-Uribe, Albert, Horcajada, Juan Pablo, Castells, Xavier
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container_issue 5
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container_title European journal of public health
container_volume 29
creator Sentís, Alexis
González, Cristina
Montero, Maria
Herranz, Milagros
Hidalgo, Carlota
Campà, Cristina
Sala, Maria
Macià, Francesc
Román, Marta
Prats-Uribe, Albert
Horcajada, Juan Pablo
Castells, Xavier
description Abstract Background To determine the risk of hospital readmission and associated factors in patients with a positive sample for multidrug-resistant microorganisms (MRM) and to analyze whether there is a higher risk of hospital readmission with some of the more common MRM. Methods Retrospective cohort study (2012–16) performed in a tertiary-care teaching hospital in Barcelona. Patients were divided into two groups, depending on the presence or absence of an MRM-positive sample during hospital admission. Logistic regression models were used to estimate the risk of hospital readmission in the first 30 and 90 days, and the first year for patients with an MRM-positive sample compared with those without. The models were stratified by the presence or absence of an MRM-positive sample and by grouped Charlson comorbidity index. Results We included 983 patients with an MRM-positive sample and 39 323 patients without. The risk of hospital readmission in the first 30 days was 41% higher in admitted patients with an MRM-positive sample (95%CI=1.17 to 1.69) than in those without. Stratified models showed similar results to the overall results for all Charlson comorbidity index groups. When the models were stratified by the presence of an MRM-positive sample, methicillin-resistant Staphylococcus aureus showed the highest risk of readmissions within the more common MRM [103% (95%CI=1.10 to 3.75)]. Conclusion MRMs seem to be an important risk factor for hospital readmissions both among patients with and without comorbidities. Specific types of MRM may represent a higher risk for hospital readmissions than other MRMs, depending on the particular environment or hospital.
doi_str_mv 10.1093/eurpub/cky262
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Methods Retrospective cohort study (2012–16) performed in a tertiary-care teaching hospital in Barcelona. Patients were divided into two groups, depending on the presence or absence of an MRM-positive sample during hospital admission. Logistic regression models were used to estimate the risk of hospital readmission in the first 30 and 90 days, and the first year for patients with an MRM-positive sample compared with those without. The models were stratified by the presence or absence of an MRM-positive sample and by grouped Charlson comorbidity index. Results We included 983 patients with an MRM-positive sample and 39 323 patients without. The risk of hospital readmission in the first 30 days was 41% higher in admitted patients with an MRM-positive sample (95%CI=1.17 to 1.69) than in those without. Stratified models showed similar results to the overall results for all Charlson comorbidity index groups. When the models were stratified by the presence of an MRM-positive sample, methicillin-resistant Staphylococcus aureus showed the highest risk of readmissions within the more common MRM [103% (95%CI=1.10 to 3.75)]. Conclusion MRMs seem to be an important risk factor for hospital readmissions both among patients with and without comorbidities. Specific types of MRM may represent a higher risk for hospital readmissions than other MRMs, depending on the particular environment or hospital.</description><identifier>ISSN: 1101-1262</identifier><identifier>EISSN: 1464-360X</identifier><identifier>DOI: 10.1093/eurpub/cky262</identifier><identifier>PMID: 30590519</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Comorbidity ; Hospitalization ; Indexes ; Methicillin ; Microorganisms ; Multidrug resistance ; Multidrug resistant organisms ; Patients ; Public health ; Regression analysis ; Regression models ; Risk ; Risk analysis ; Risk factors ; Staphylococcus infections ; Teaching</subject><ispartof>European journal of public health, 2019-10, Vol.29 (5), p.981-986</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved. 2018</rights><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the European Public Health Association. 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Methods Retrospective cohort study (2012–16) performed in a tertiary-care teaching hospital in Barcelona. Patients were divided into two groups, depending on the presence or absence of an MRM-positive sample during hospital admission. Logistic regression models were used to estimate the risk of hospital readmission in the first 30 and 90 days, and the first year for patients with an MRM-positive sample compared with those without. The models were stratified by the presence or absence of an MRM-positive sample and by grouped Charlson comorbidity index. Results We included 983 patients with an MRM-positive sample and 39 323 patients without. The risk of hospital readmission in the first 30 days was 41% higher in admitted patients with an MRM-positive sample (95%CI=1.17 to 1.69) than in those without. Stratified models showed similar results to the overall results for all Charlson comorbidity index groups. When the models were stratified by the presence of an MRM-positive sample, methicillin-resistant Staphylococcus aureus showed the highest risk of readmissions within the more common MRM [103% (95%CI=1.10 to 3.75)]. Conclusion MRMs seem to be an important risk factor for hospital readmissions both among patients with and without comorbidities. Specific types of MRM may represent a higher risk for hospital readmissions than other MRMs, depending on the particular environment or hospital.</description><subject>Comorbidity</subject><subject>Hospitalization</subject><subject>Indexes</subject><subject>Methicillin</subject><subject>Microorganisms</subject><subject>Multidrug resistance</subject><subject>Multidrug resistant organisms</subject><subject>Patients</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Staphylococcus infections</subject><subject>Teaching</subject><issn>1101-1262</issn><issn>1464-360X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqFkUtLJTEQhcPgMD5mlm4l4GY2rXl039xeiugoCIKM4K6p26lotLvTphLBf2_k-gA3rqqo-upQVYexXSkOpGj1IeY459Vh__CsFuoH25L1oq70QtxslFwKWclS32TbRPdCiMYs1S-2qUXTika2W4yuPD3w4PhdoNknGHhEsKMn8mHiMFkORKH3kNByB30KkTi4hJEDnwP55J-QE4zzgNyF1-qYh-RtzLdVRPKUYEp89H0MId7C5Gn8zX46GAj_vMUddn168v_4rLq4_Hd-fHRR9brVqVKATqtlo6ExtWnQiHYpldJWWgRjDZrSaFcotVFgaiGldq5RIIyzxvRO77C_a905hseMlLpyV4_DABOGTJ2SC2nKWFMXdP8Leh9ynMp2naq1KJ-WS12oak2VY4gium6OfoT43EnRvbrRrd3o1m4Ufu9NNa9GtB_0-_s_Nwx5_kbrBVqFlxY</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Sentís, Alexis</creator><creator>González, Cristina</creator><creator>Montero, Maria</creator><creator>Herranz, Milagros</creator><creator>Hidalgo, Carlota</creator><creator>Campà, Cristina</creator><creator>Sala, Maria</creator><creator>Macià, Francesc</creator><creator>Román, Marta</creator><creator>Prats-Uribe, Albert</creator><creator>Horcajada, Juan Pablo</creator><creator>Castells, Xavier</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20191001</creationdate><title>Risk of hospital readmission and associated factors after a positive sample for a multidrug-resistant microorganism</title><author>Sentís, Alexis ; González, Cristina ; Montero, Maria ; Herranz, Milagros ; Hidalgo, Carlota ; Campà, Cristina ; Sala, Maria ; Macià, Francesc ; Román, Marta ; Prats-Uribe, Albert ; Horcajada, Juan Pablo ; Castells, Xavier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-2aef32853a57475e70981223d1dea7d7e7a579be1372a740113ff52a07fd77cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Comorbidity</topic><topic>Hospitalization</topic><topic>Indexes</topic><topic>Methicillin</topic><topic>Microorganisms</topic><topic>Multidrug resistance</topic><topic>Multidrug resistant organisms</topic><topic>Patients</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Staphylococcus infections</topic><topic>Teaching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sentís, Alexis</creatorcontrib><creatorcontrib>González, Cristina</creatorcontrib><creatorcontrib>Montero, Maria</creatorcontrib><creatorcontrib>Herranz, Milagros</creatorcontrib><creatorcontrib>Hidalgo, Carlota</creatorcontrib><creatorcontrib>Campà, Cristina</creatorcontrib><creatorcontrib>Sala, Maria</creatorcontrib><creatorcontrib>Macià, Francesc</creatorcontrib><creatorcontrib>Román, Marta</creatorcontrib><creatorcontrib>Prats-Uribe, Albert</creatorcontrib><creatorcontrib>Horcajada, Juan Pablo</creatorcontrib><creatorcontrib>Castells, Xavier</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sentís, Alexis</au><au>González, Cristina</au><au>Montero, Maria</au><au>Herranz, Milagros</au><au>Hidalgo, Carlota</au><au>Campà, Cristina</au><au>Sala, Maria</au><au>Macià, Francesc</au><au>Román, Marta</au><au>Prats-Uribe, Albert</au><au>Horcajada, Juan Pablo</au><au>Castells, Xavier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk of hospital readmission and associated factors after a positive sample for a multidrug-resistant microorganism</atitle><jtitle>European journal of public health</jtitle><addtitle>Eur J Public Health</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>29</volume><issue>5</issue><spage>981</spage><epage>986</epage><pages>981-986</pages><issn>1101-1262</issn><eissn>1464-360X</eissn><abstract>Abstract Background To determine the risk of hospital readmission and associated factors in patients with a positive sample for multidrug-resistant microorganisms (MRM) and to analyze whether there is a higher risk of hospital readmission with some of the more common MRM. Methods Retrospective cohort study (2012–16) performed in a tertiary-care teaching hospital in Barcelona. Patients were divided into two groups, depending on the presence or absence of an MRM-positive sample during hospital admission. Logistic regression models were used to estimate the risk of hospital readmission in the first 30 and 90 days, and the first year for patients with an MRM-positive sample compared with those without. The models were stratified by the presence or absence of an MRM-positive sample and by grouped Charlson comorbidity index. Results We included 983 patients with an MRM-positive sample and 39 323 patients without. The risk of hospital readmission in the first 30 days was 41% higher in admitted patients with an MRM-positive sample (95%CI=1.17 to 1.69) than in those without. Stratified models showed similar results to the overall results for all Charlson comorbidity index groups. When the models were stratified by the presence of an MRM-positive sample, methicillin-resistant Staphylococcus aureus showed the highest risk of readmissions within the more common MRM [103% (95%CI=1.10 to 3.75)]. Conclusion MRMs seem to be an important risk factor for hospital readmissions both among patients with and without comorbidities. Specific types of MRM may represent a higher risk for hospital readmissions than other MRMs, depending on the particular environment or hospital.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>30590519</pmid><doi>10.1093/eurpub/cky262</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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ispartof European journal of public health, 2019-10, Vol.29 (5), p.981-986
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subjects Comorbidity
Hospitalization
Indexes
Methicillin
Microorganisms
Multidrug resistance
Multidrug resistant organisms
Patients
Public health
Regression analysis
Regression models
Risk
Risk analysis
Risk factors
Staphylococcus infections
Teaching
title Risk of hospital readmission and associated factors after a positive sample for a multidrug-resistant microorganism
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