Clinical predictors of candidemia in medical non‐neutropenic, non‐ICU patients. The CaMed score
Summary Introduction Candida species are the leading cause of invasive fungal infections in hospitalised patients and are the fourth most common isolates recovered from patients with bloodstream infection. Few data exist on risk factors for candidemia in non‐ICU patients. We performed a population‐b...
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Veröffentlicht in: | International journal of clinical practice (Esher) 2018-12, Vol.72 (12), p.e13275-n/a |
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creator | Ruiz‐Ruigómez, María Dueñas, Carlos Hernandez, Cristina Vinuesa, David Coronado‐Álvarez, Nieves M. Portillo‐Tuñón, Vera Cardozo, Cristina Muñoz‐Medina, Leopoldo Cabo‐Magadán, Rebeca Luna, Juan D. Mensa, Josep Parra‐Ruiz, Jorge |
description | Summary
Introduction
Candida species are the leading cause of invasive fungal infections in hospitalised patients and are the fourth most common isolates recovered from patients with bloodstream infection. Few data exist on risk factors for candidemia in non‐ICU patients. We performed a population‐based case‐control study to evaluate the main predictors for candidemia in non‐ICU patients.
Methods and findings
We included all non‐neutropenic, non‐critically ill and non‐surgical adult patients with candidemia between January 2010 and June 2014. Patients with positive, non‐candidal blood culture obtained at the same day (±2 days) were selected as controls. Cases and controls were matched according to hospital ward and clinical characteristics. Risk factors for candidemia were identified through a logistic regression. We included 56 candidemic and 512 bacteriemic non‐candidemic patients. Most of candidemic patients (52) had received antibiotics prior to candidemia. Among them, the 30‐day mortality rate was 34% (19/56). Multivariate analysis identified male sex, prior use of steroids, prior use of antibiotics, total parenteral nutrition and urinary catheterisation as independent predictors of candidemia. To develop the CaMed score, we rounded up weights of different risk factors as follows; total parenteral nutrition (+2), prior antibiotic therapy (+5), each of the other risk factors (+1). A score ≥ 7 identified patients at high risk of candidemia (P |
doi_str_mv | 10.1111/ijcp.13275 |
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Introduction
Candida species are the leading cause of invasive fungal infections in hospitalised patients and are the fourth most common isolates recovered from patients with bloodstream infection. Few data exist on risk factors for candidemia in non‐ICU patients. We performed a population‐based case‐control study to evaluate the main predictors for candidemia in non‐ICU patients.
Methods and findings
We included all non‐neutropenic, non‐critically ill and non‐surgical adult patients with candidemia between January 2010 and June 2014. Patients with positive, non‐candidal blood culture obtained at the same day (±2 days) were selected as controls. Cases and controls were matched according to hospital ward and clinical characteristics. Risk factors for candidemia were identified through a logistic regression. We included 56 candidemic and 512 bacteriemic non‐candidemic patients. Most of candidemic patients (52) had received antibiotics prior to candidemia. Among them, the 30‐day mortality rate was 34% (19/56). Multivariate analysis identified male sex, prior use of steroids, prior use of antibiotics, total parenteral nutrition and urinary catheterisation as independent predictors of candidemia. To develop the CaMed score, we rounded up weights of different risk factors as follows; total parenteral nutrition (+2), prior antibiotic therapy (+5), each of the other risk factors (+1). A score ≥ 7 identified patients at high risk of candidemia (P < 0.001; RR 29.805; CI 95% 10.652‐83.397; sensitivity 79.2, specificity 82.6%, Youden index 0,62).
Conclusions
Our set of easy independent predictors of candidemia in non‐neutropenic, non‐ICU, non‐surgical patients provide a rationale for early initiation of antifungals and could reduce candidemia‐related mortality.</description><identifier>ISSN: 1368-5031</identifier><identifier>EISSN: 1742-1241</identifier><identifier>DOI: 10.1111/ijcp.13275</identifier><identifier>PMID: 30375125</identifier><language>eng</language><publisher>England: Hindawi Limited</publisher><subject>Aged ; Aged, 80 and over ; Anti-Bacterial Agents - therapeutic use ; Antibiotics ; Blood culture ; Candidemia ; Candidemia - epidemiology ; Candidemia - mortality ; Case-Control Studies ; Female ; Humans ; Infections ; Introduced species ; Male ; Middle Aged ; Mortality ; Multivariate analysis ; Neutropenia ; Parenteral nutrition ; Parenteral Nutrition, Total ; Population studies ; Risk Assessment - methods ; Risk Factors ; Sex Factors ; Steroid hormones ; Steroids ; Steroids - therapeutic use ; Urinary Catheterization</subject><ispartof>International journal of clinical practice (Esher), 2018-12, Vol.72 (12), p.e13275-n/a</ispartof><rights>2018 John Wiley & Sons Ltd</rights><rights>2018 John Wiley & Sons Ltd.</rights><rights>Copyright © 2018 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3935-39a56d3d473c5006df3d79781f42d12757e1851e43c3e4aba21361f6122bd9493</citedby><cites>FETCH-LOGICAL-c3935-39a56d3d473c5006df3d79781f42d12757e1851e43c3e4aba21361f6122bd9493</cites><orcidid>0000-0003-1538-3043</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijcp.13275$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijcp.13275$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30375125$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ruiz‐Ruigómez, María</creatorcontrib><creatorcontrib>Dueñas, Carlos</creatorcontrib><creatorcontrib>Hernandez, Cristina</creatorcontrib><creatorcontrib>Vinuesa, David</creatorcontrib><creatorcontrib>Coronado‐Álvarez, Nieves M.</creatorcontrib><creatorcontrib>Portillo‐Tuñón, Vera</creatorcontrib><creatorcontrib>Cardozo, Cristina</creatorcontrib><creatorcontrib>Muñoz‐Medina, Leopoldo</creatorcontrib><creatorcontrib>Cabo‐Magadán, Rebeca</creatorcontrib><creatorcontrib>Luna, Juan D.</creatorcontrib><creatorcontrib>Mensa, Josep</creatorcontrib><creatorcontrib>Parra‐Ruiz, Jorge</creatorcontrib><title>Clinical predictors of candidemia in medical non‐neutropenic, non‐ICU patients. The CaMed score</title><title>International journal of clinical practice (Esher)</title><addtitle>Int J Clin Pract</addtitle><description>Summary
Introduction
Candida species are the leading cause of invasive fungal infections in hospitalised patients and are the fourth most common isolates recovered from patients with bloodstream infection. Few data exist on risk factors for candidemia in non‐ICU patients. We performed a population‐based case‐control study to evaluate the main predictors for candidemia in non‐ICU patients.
Methods and findings
We included all non‐neutropenic, non‐critically ill and non‐surgical adult patients with candidemia between January 2010 and June 2014. Patients with positive, non‐candidal blood culture obtained at the same day (±2 days) were selected as controls. Cases and controls were matched according to hospital ward and clinical characteristics. Risk factors for candidemia were identified through a logistic regression. We included 56 candidemic and 512 bacteriemic non‐candidemic patients. Most of candidemic patients (52) had received antibiotics prior to candidemia. Among them, the 30‐day mortality rate was 34% (19/56). Multivariate analysis identified male sex, prior use of steroids, prior use of antibiotics, total parenteral nutrition and urinary catheterisation as independent predictors of candidemia. To develop the CaMed score, we rounded up weights of different risk factors as follows; total parenteral nutrition (+2), prior antibiotic therapy (+5), each of the other risk factors (+1). A score ≥ 7 identified patients at high risk of candidemia (P < 0.001; RR 29.805; CI 95% 10.652‐83.397; sensitivity 79.2, specificity 82.6%, Youden index 0,62).
Conclusions
Our set of easy independent predictors of candidemia in non‐neutropenic, non‐ICU, non‐surgical patients provide a rationale for early initiation of antifungals and could reduce candidemia‐related mortality.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Anti-Bacterial Agents - therapeutic use</subject><subject>Antibiotics</subject><subject>Blood culture</subject><subject>Candidemia</subject><subject>Candidemia - epidemiology</subject><subject>Candidemia - mortality</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Infections</subject><subject>Introduced species</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Neutropenia</subject><subject>Parenteral nutrition</subject><subject>Parenteral Nutrition, Total</subject><subject>Population studies</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Steroid hormones</subject><subject>Steroids</subject><subject>Steroids - therapeutic use</subject><subject>Urinary Catheterization</subject><issn>1368-5031</issn><issn>1742-1241</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM9O3DAQh60KVP60Fx4AWeJSoWbx2HG8OaII2kVU5QDnyGtPhFdZO9iJKm59hD4jT4K3u-XAob6MZX_zaeZHyAmwGeRz4VZmmIHgSn4gh6BKXgAvYS_fRTUvJBNwQI5SWjHGpZyzj-RAMKEkcHlITNM774zu6RDROjOGmGjoqNHeOotrp6nzdL35yowP_uX3H4_TGMOAue_r7mnRPNBBjw79mGb0_hFpo3-gpcmEiJ_Ifqf7hJ939Zg8XF_dN9-L25_fFs3lbWFELWQhai0rK2yphJGMVbYTVtVqDl3JLeTtFMJcApbCCCz1UvO8H3QVcL60dVmLY_Jl6x1ieJowje3aJYN9rz2GKbU8S3gWM5XRs3foKkzR5-kyJSRUslQb6nxLmRhSiti1Q3RrHZ9bYO0m-nYTffs3-gyf7pTTMuf1hv7LOgOwBX65Hp__o2oXN83dVvoKah6OAQ</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Ruiz‐Ruigómez, María</creator><creator>Dueñas, Carlos</creator><creator>Hernandez, Cristina</creator><creator>Vinuesa, David</creator><creator>Coronado‐Álvarez, Nieves M.</creator><creator>Portillo‐Tuñón, Vera</creator><creator>Cardozo, Cristina</creator><creator>Muñoz‐Medina, Leopoldo</creator><creator>Cabo‐Magadán, Rebeca</creator><creator>Luna, Juan D.</creator><creator>Mensa, Josep</creator><creator>Parra‐Ruiz, Jorge</creator><general>Hindawi Limited</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>7QP</scope><scope>7T5</scope><scope>7TK</scope><scope>7TS</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1538-3043</orcidid></search><sort><creationdate>201812</creationdate><title>Clinical predictors of candidemia in medical non‐neutropenic, non‐ICU patients. The CaMed score</title><author>Ruiz‐Ruigómez, María ; Dueñas, Carlos ; Hernandez, Cristina ; Vinuesa, David ; Coronado‐Álvarez, Nieves M. ; Portillo‐Tuñón, Vera ; Cardozo, Cristina ; Muñoz‐Medina, Leopoldo ; Cabo‐Magadán, Rebeca ; Luna, Juan D. ; Mensa, Josep ; Parra‐Ruiz, Jorge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3935-39a56d3d473c5006df3d79781f42d12757e1851e43c3e4aba21361f6122bd9493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anti-Bacterial Agents - therapeutic use</topic><topic>Antibiotics</topic><topic>Blood culture</topic><topic>Candidemia</topic><topic>Candidemia - epidemiology</topic><topic>Candidemia - mortality</topic><topic>Case-Control Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Infections</topic><topic>Introduced species</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Neutropenia</topic><topic>Parenteral nutrition</topic><topic>Parenteral Nutrition, Total</topic><topic>Population studies</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Steroid hormones</topic><topic>Steroids</topic><topic>Steroids - therapeutic use</topic><topic>Urinary Catheterization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ruiz‐Ruigómez, María</creatorcontrib><creatorcontrib>Dueñas, Carlos</creatorcontrib><creatorcontrib>Hernandez, Cristina</creatorcontrib><creatorcontrib>Vinuesa, David</creatorcontrib><creatorcontrib>Coronado‐Álvarez, Nieves M.</creatorcontrib><creatorcontrib>Portillo‐Tuñón, Vera</creatorcontrib><creatorcontrib>Cardozo, Cristina</creatorcontrib><creatorcontrib>Muñoz‐Medina, Leopoldo</creatorcontrib><creatorcontrib>Cabo‐Magadán, Rebeca</creatorcontrib><creatorcontrib>Luna, Juan D.</creatorcontrib><creatorcontrib>Mensa, Josep</creatorcontrib><creatorcontrib>Parra‐Ruiz, Jorge</creatorcontrib><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>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of clinical practice (Esher)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ruiz‐Ruigómez, María</au><au>Dueñas, Carlos</au><au>Hernandez, Cristina</au><au>Vinuesa, David</au><au>Coronado‐Álvarez, Nieves M.</au><au>Portillo‐Tuñón, Vera</au><au>Cardozo, Cristina</au><au>Muñoz‐Medina, Leopoldo</au><au>Cabo‐Magadán, Rebeca</au><au>Luna, Juan D.</au><au>Mensa, Josep</au><au>Parra‐Ruiz, Jorge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical predictors of candidemia in medical non‐neutropenic, non‐ICU patients. The CaMed score</atitle><jtitle>International journal of clinical practice (Esher)</jtitle><addtitle>Int J Clin Pract</addtitle><date>2018-12</date><risdate>2018</risdate><volume>72</volume><issue>12</issue><spage>e13275</spage><epage>n/a</epage><pages>e13275-n/a</pages><issn>1368-5031</issn><eissn>1742-1241</eissn><abstract>Summary
Introduction
Candida species are the leading cause of invasive fungal infections in hospitalised patients and are the fourth most common isolates recovered from patients with bloodstream infection. Few data exist on risk factors for candidemia in non‐ICU patients. We performed a population‐based case‐control study to evaluate the main predictors for candidemia in non‐ICU patients.
Methods and findings
We included all non‐neutropenic, non‐critically ill and non‐surgical adult patients with candidemia between January 2010 and June 2014. Patients with positive, non‐candidal blood culture obtained at the same day (±2 days) were selected as controls. Cases and controls were matched according to hospital ward and clinical characteristics. Risk factors for candidemia were identified through a logistic regression. We included 56 candidemic and 512 bacteriemic non‐candidemic patients. Most of candidemic patients (52) had received antibiotics prior to candidemia. Among them, the 30‐day mortality rate was 34% (19/56). Multivariate analysis identified male sex, prior use of steroids, prior use of antibiotics, total parenteral nutrition and urinary catheterisation as independent predictors of candidemia. To develop the CaMed score, we rounded up weights of different risk factors as follows; total parenteral nutrition (+2), prior antibiotic therapy (+5), each of the other risk factors (+1). A score ≥ 7 identified patients at high risk of candidemia (P < 0.001; RR 29.805; CI 95% 10.652‐83.397; sensitivity 79.2, specificity 82.6%, Youden index 0,62).
Conclusions
Our set of easy independent predictors of candidemia in non‐neutropenic, non‐ICU, non‐surgical patients provide a rationale for early initiation of antifungals and could reduce candidemia‐related mortality.</abstract><cop>England</cop><pub>Hindawi Limited</pub><pmid>30375125</pmid><doi>10.1111/ijcp.13275</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-1538-3043</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Anti-Bacterial Agents - therapeutic use Antibiotics Blood culture Candidemia Candidemia - epidemiology Candidemia - mortality Case-Control Studies Female Humans Infections Introduced species Male Middle Aged Mortality Multivariate analysis Neutropenia Parenteral nutrition Parenteral Nutrition, Total Population studies Risk Assessment - methods Risk Factors Sex Factors Steroid hormones Steroids Steroids - therapeutic use Urinary Catheterization |
title | Clinical predictors of candidemia in medical non‐neutropenic, non‐ICU patients. The CaMed score |
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