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
Hauptverfasser: 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
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container_issue 12
container_start_page e13275
container_title International journal of clinical practice (Esher)
container_volume 72
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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The CaMed score</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><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</creator><creatorcontrib>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</creatorcontrib><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 &lt; 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 &amp; Sons Ltd</rights><rights>2018 John Wiley &amp; Sons Ltd.</rights><rights>Copyright © 2018 John Wiley &amp; 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 &lt; 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. 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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 &lt; 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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