MR‐ proADM to detect specific types of organ failure in infection

Background Following the SEPSIS‐3 consensus, detection of organ failure as assessed by the SOFA (Sequential Organ Failure Assessment) score, is mandatory to detect sepsis. Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is v...

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Veröffentlicht in:European journal of clinical investigation 2020-06, Vol.50 (6), p.e13246-n/a
Hauptverfasser: Andrés, Cristina, Andaluz‐Ojeda, David, Cicuendez, Ramón, Nogales, Leonor, Martín, Silvia, Martin‐Fernandez, Marta, Almansa, Raquel, Calvo, Dolores, Esteban‐Velasco, Maria Carmen, Vaquero‐Roncero, Luis Mario, Ríos‐Llorente, Alberto, Sanchez‐Barrado, Elisa, Muñoz‐Bellvís, Luis, Aldecoa, César, Bermejo‐Martin, Jesus F.
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container_issue 6
container_start_page e13246
container_title European journal of clinical investigation
container_volume 50
creator Andrés, Cristina
Andaluz‐Ojeda, David
Cicuendez, Ramón
Nogales, Leonor
Martín, Silvia
Martin‐Fernandez, Marta
Almansa, Raquel
Calvo, Dolores
Esteban‐Velasco, Maria Carmen
Vaquero‐Roncero, Luis Mario
Ríos‐Llorente, Alberto
Sanchez‐Barrado, Elisa
Muñoz‐Bellvís, Luis
Aldecoa, César
Bermejo‐Martin, Jesus F.
description Background Following the SEPSIS‐3 consensus, detection of organ failure as assessed by the SOFA (Sequential Organ Failure Assessment) score, is mandatory to detect sepsis. Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is very specific but less sensible. Biomarkers could help to detect the presence of organ failure secondary to infection either in ICU and non‐ICU settings. Materials and methods We evaluated the ability of four biomarkers (C‐Reactive protein (CRP), lactate, mid‐regional proadrenomedullin (MR‐proADM) and procalcitonin (PCT)) to detect each kind of organ failure considered in the SOFA in 213 patients with infection, sepsis or septic shock, by using multivariate regression analysis and calculation of the area under the receiver operating curve (AUROC). Results In the multivariate analysis, MR‐proADM was an independent predictor of five different failures (respiratory, coagulation, cardiovascular, neurological and renal). In turn, lactate predicted three (coagulation, cardiovascular and neurological) and PCT two (cardiovascular and renal). CRP did not predict any of the individual components of SOFA. The highest AUROCs were those of MR‐proADM and PCT to detect cardiovascular (AUROC, CI95%): MR‐proADM (0.82 [0.76‐0.88]), PCT (0.81 [0.75‐0.87] (P 
doi_str_mv 10.1111/eci.13246
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Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is very specific but less sensible. Biomarkers could help to detect the presence of organ failure secondary to infection either in ICU and non‐ICU settings. Materials and methods We evaluated the ability of four biomarkers (C‐Reactive protein (CRP), lactate, mid‐regional proadrenomedullin (MR‐proADM) and procalcitonin (PCT)) to detect each kind of organ failure considered in the SOFA in 213 patients with infection, sepsis or septic shock, by using multivariate regression analysis and calculation of the area under the receiver operating curve (AUROC). Results In the multivariate analysis, MR‐proADM was an independent predictor of five different failures (respiratory, coagulation, cardiovascular, neurological and renal). In turn, lactate predicted three (coagulation, cardiovascular and neurological) and PCT two (cardiovascular and renal). CRP did not predict any of the individual components of SOFA. The highest AUROCs were those of MR‐proADM and PCT to detect cardiovascular (AUROC, CI95%): MR‐proADM (0.82 [0.76‐0.88]), PCT (0.81 [0.75‐0.87] (P &lt; .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (P &lt; .05). None of the biomarkers tested was able to detect hepatic failure. Conclusions In patients with infection, MR‐proADM was the biomarker detecting the largest number of SOFA score components, with the exception of hepatic failure.</description><identifier>ISSN: 0014-2972</identifier><identifier>EISSN: 1365-2362</identifier><identifier>DOI: 10.1111/eci.13246</identifier><identifier>PMID: 32307701</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Adrenomedullin ; Adrenomedullin - blood ; Aged ; Aged, 80 and over ; Area Under Curve ; Biomarkers ; Blood Coagulation Disorders - blood ; Blood Coagulation Disorders - diagnosis ; C-Reactive Protein - metabolism ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - diagnosis ; Coagulation ; Failure ; Female ; Heart Failure - blood ; Heart Failure - diagnosis ; Humans ; infection ; Infections ; Infections - blood ; Intensive Care Units ; Kidneys ; Lactic acid ; Lactic Acid - blood ; Liver ; Liver Failure - blood ; Liver Failure - diagnosis ; Male ; Mathematical analysis ; Middle Aged ; Multivariate Analysis ; Nervous System Diseases - blood ; Nervous System Diseases - diagnosis ; Organ Dysfunction Scores ; organ failure ; Peptide Fragments - blood ; Procalcitonin ; Procalcitonin - blood ; Protein Precursors - blood ; Regression analysis ; Renal failure ; Renal Insufficiency - blood ; Renal Insufficiency - diagnosis ; Respiratory Insufficiency - blood ; Respiratory Insufficiency - diagnosis ; ROC Curve ; Sepsis ; Sepsis - blood ; Sepsis - diagnosis ; Septic shock ; Shock, Septic - blood ; Shock, Septic - diagnosis</subject><ispartof>European journal of clinical investigation, 2020-06, Vol.50 (6), p.e13246-n/a</ispartof><rights>2020 Stichting European Society for Clinical Investigation Journal Foundation</rights><rights>2020 Stichting European Society for Clinical Investigation Journal Foundation.</rights><rights>Copyright © 2020 Stichting European Society for Clinical Investigation Journal Foundation</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3536-4aa68a5b623ad8d3773500eca603ea32462fcaf1a07e23295a81c7f36e01a7b93</citedby><cites>FETCH-LOGICAL-c3536-4aa68a5b623ad8d3773500eca603ea32462fcaf1a07e23295a81c7f36e01a7b93</cites><orcidid>0000-0002-7998-6268</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%2Feci.13246$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Feci.13246$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32307701$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Andrés, Cristina</creatorcontrib><creatorcontrib>Andaluz‐Ojeda, David</creatorcontrib><creatorcontrib>Cicuendez, Ramón</creatorcontrib><creatorcontrib>Nogales, Leonor</creatorcontrib><creatorcontrib>Martín, Silvia</creatorcontrib><creatorcontrib>Martin‐Fernandez, Marta</creatorcontrib><creatorcontrib>Almansa, Raquel</creatorcontrib><creatorcontrib>Calvo, Dolores</creatorcontrib><creatorcontrib>Esteban‐Velasco, Maria Carmen</creatorcontrib><creatorcontrib>Vaquero‐Roncero, Luis Mario</creatorcontrib><creatorcontrib>Ríos‐Llorente, Alberto</creatorcontrib><creatorcontrib>Sanchez‐Barrado, Elisa</creatorcontrib><creatorcontrib>Muñoz‐Bellvís, Luis</creatorcontrib><creatorcontrib>Aldecoa, César</creatorcontrib><creatorcontrib>Bermejo‐Martin, Jesus F.</creatorcontrib><title>MR‐ proADM to detect specific types of organ failure in infection</title><title>European journal of clinical investigation</title><addtitle>Eur J Clin Invest</addtitle><description>Background Following the SEPSIS‐3 consensus, detection of organ failure as assessed by the SOFA (Sequential Organ Failure Assessment) score, is mandatory to detect sepsis. Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is very specific but less sensible. Biomarkers could help to detect the presence of organ failure secondary to infection either in ICU and non‐ICU settings. Materials and methods We evaluated the ability of four biomarkers (C‐Reactive protein (CRP), lactate, mid‐regional proadrenomedullin (MR‐proADM) and procalcitonin (PCT)) to detect each kind of organ failure considered in the SOFA in 213 patients with infection, sepsis or septic shock, by using multivariate regression analysis and calculation of the area under the receiver operating curve (AUROC). Results In the multivariate analysis, MR‐proADM was an independent predictor of five different failures (respiratory, coagulation, cardiovascular, neurological and renal). In turn, lactate predicted three (coagulation, cardiovascular and neurological) and PCT two (cardiovascular and renal). CRP did not predict any of the individual components of SOFA. The highest AUROCs were those of MR‐proADM and PCT to detect cardiovascular (AUROC, CI95%): MR‐proADM (0.82 [0.76‐0.88]), PCT (0.81 [0.75‐0.87] (P &lt; .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (P &lt; .05). None of the biomarkers tested was able to detect hepatic failure. Conclusions In patients with infection, MR‐proADM was the biomarker detecting the largest number of SOFA score components, with the exception of hepatic failure.</description><subject>Adrenomedullin</subject><subject>Adrenomedullin - blood</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Biomarkers</subject><subject>Blood Coagulation Disorders - blood</subject><subject>Blood Coagulation Disorders - diagnosis</subject><subject>C-Reactive Protein - metabolism</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Coagulation</subject><subject>Failure</subject><subject>Female</subject><subject>Heart Failure - blood</subject><subject>Heart Failure - diagnosis</subject><subject>Humans</subject><subject>infection</subject><subject>Infections</subject><subject>Infections - blood</subject><subject>Intensive Care Units</subject><subject>Kidneys</subject><subject>Lactic acid</subject><subject>Lactic Acid - blood</subject><subject>Liver</subject><subject>Liver Failure - blood</subject><subject>Liver Failure - diagnosis</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Nervous System Diseases - blood</subject><subject>Nervous System Diseases - diagnosis</subject><subject>Organ Dysfunction Scores</subject><subject>organ failure</subject><subject>Peptide Fragments - blood</subject><subject>Procalcitonin</subject><subject>Procalcitonin - blood</subject><subject>Protein Precursors - blood</subject><subject>Regression analysis</subject><subject>Renal failure</subject><subject>Renal Insufficiency - blood</subject><subject>Renal Insufficiency - diagnosis</subject><subject>Respiratory Insufficiency - blood</subject><subject>Respiratory Insufficiency - diagnosis</subject><subject>ROC Curve</subject><subject>Sepsis</subject><subject>Sepsis - blood</subject><subject>Sepsis - diagnosis</subject><subject>Septic shock</subject><subject>Shock, Septic - blood</subject><subject>Shock, Septic - diagnosis</subject><issn>0014-2972</issn><issn>1365-2362</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kLFOwzAQhi0EoqUw8ALIEhND2rOd2MlYhQKVWiEhmC3XsVGqNgl2ItSNR-AZeRJcUtg4nXTLp-_ufoQuCYxJqInR5ZgwGvMjNCSMJxFlnB6jIQCJI5oJOkBn3q8BIA3YKRowykAIIEOUL5--Pj5x4-rp7RK3NS5Ma3SLfROkttS43TXG49ri2r2qCltVbjpncFmFtoEs6-ocnVi18ebiMEfo5W72nD9Ei8f7eT5dRJoljEexUjxVyYpTpoq0YEKwBMBoxYEZtT-fWq0sUSAMZTRLVEq0sIwbIEqsMjZC1703XPvWGd_Kdd25KqyUNAaRkozCnrrpKe1q752xsnHlVrmdJCD3ccnwmfyJK7BXB2O32prij_zNJwCTHngvN2b3v0nO8nmv_AY82nJ9</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Andrés, Cristina</creator><creator>Andaluz‐Ojeda, David</creator><creator>Cicuendez, Ramón</creator><creator>Nogales, Leonor</creator><creator>Martín, Silvia</creator><creator>Martin‐Fernandez, Marta</creator><creator>Almansa, Raquel</creator><creator>Calvo, Dolores</creator><creator>Esteban‐Velasco, Maria Carmen</creator><creator>Vaquero‐Roncero, Luis Mario</creator><creator>Ríos‐Llorente, Alberto</creator><creator>Sanchez‐Barrado, Elisa</creator><creator>Muñoz‐Bellvís, Luis</creator><creator>Aldecoa, César</creator><creator>Bermejo‐Martin, Jesus F.</creator><general>Blackwell Publishing Ltd</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>7QO</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0002-7998-6268</orcidid></search><sort><creationdate>202006</creationdate><title>MR‐ proADM to detect specific types of organ failure in infection</title><author>Andrés, Cristina ; Andaluz‐Ojeda, David ; Cicuendez, Ramón ; Nogales, Leonor ; Martín, Silvia ; Martin‐Fernandez, Marta ; Almansa, Raquel ; Calvo, Dolores ; Esteban‐Velasco, Maria Carmen ; Vaquero‐Roncero, Luis Mario ; Ríos‐Llorente, Alberto ; Sanchez‐Barrado, Elisa ; Muñoz‐Bellvís, Luis ; Aldecoa, César ; Bermejo‐Martin, Jesus F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3536-4aa68a5b623ad8d3773500eca603ea32462fcaf1a07e23295a81c7f36e01a7b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adrenomedullin</topic><topic>Adrenomedullin - blood</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Biomarkers</topic><topic>Blood Coagulation Disorders - blood</topic><topic>Blood Coagulation Disorders - diagnosis</topic><topic>C-Reactive Protein - metabolism</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - diagnosis</topic><topic>Coagulation</topic><topic>Failure</topic><topic>Female</topic><topic>Heart Failure - blood</topic><topic>Heart Failure - diagnosis</topic><topic>Humans</topic><topic>infection</topic><topic>Infections</topic><topic>Infections - blood</topic><topic>Intensive Care Units</topic><topic>Kidneys</topic><topic>Lactic acid</topic><topic>Lactic Acid - blood</topic><topic>Liver</topic><topic>Liver Failure - blood</topic><topic>Liver Failure - diagnosis</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Nervous System Diseases - blood</topic><topic>Nervous System Diseases - diagnosis</topic><topic>Organ Dysfunction Scores</topic><topic>organ failure</topic><topic>Peptide Fragments - blood</topic><topic>Procalcitonin</topic><topic>Procalcitonin - blood</topic><topic>Protein Precursors - blood</topic><topic>Regression analysis</topic><topic>Renal failure</topic><topic>Renal Insufficiency - blood</topic><topic>Renal Insufficiency - diagnosis</topic><topic>Respiratory Insufficiency - blood</topic><topic>Respiratory Insufficiency - diagnosis</topic><topic>ROC Curve</topic><topic>Sepsis</topic><topic>Sepsis - blood</topic><topic>Sepsis - diagnosis</topic><topic>Septic shock</topic><topic>Shock, Septic - blood</topic><topic>Shock, Septic - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andrés, Cristina</creatorcontrib><creatorcontrib>Andaluz‐Ojeda, David</creatorcontrib><creatorcontrib>Cicuendez, Ramón</creatorcontrib><creatorcontrib>Nogales, Leonor</creatorcontrib><creatorcontrib>Martín, Silvia</creatorcontrib><creatorcontrib>Martin‐Fernandez, Marta</creatorcontrib><creatorcontrib>Almansa, Raquel</creatorcontrib><creatorcontrib>Calvo, Dolores</creatorcontrib><creatorcontrib>Esteban‐Velasco, Maria Carmen</creatorcontrib><creatorcontrib>Vaquero‐Roncero, Luis Mario</creatorcontrib><creatorcontrib>Ríos‐Llorente, Alberto</creatorcontrib><creatorcontrib>Sanchez‐Barrado, Elisa</creatorcontrib><creatorcontrib>Muñoz‐Bellvís, Luis</creatorcontrib><creatorcontrib>Aldecoa, César</creatorcontrib><creatorcontrib>Bermejo‐Martin, Jesus F.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>European journal of clinical investigation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andrés, Cristina</au><au>Andaluz‐Ojeda, David</au><au>Cicuendez, Ramón</au><au>Nogales, Leonor</au><au>Martín, Silvia</au><au>Martin‐Fernandez, Marta</au><au>Almansa, Raquel</au><au>Calvo, Dolores</au><au>Esteban‐Velasco, Maria Carmen</au><au>Vaquero‐Roncero, Luis Mario</au><au>Ríos‐Llorente, Alberto</au><au>Sanchez‐Barrado, Elisa</au><au>Muñoz‐Bellvís, Luis</au><au>Aldecoa, César</au><au>Bermejo‐Martin, Jesus F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MR‐ proADM to detect specific types of organ failure in infection</atitle><jtitle>European journal of clinical investigation</jtitle><addtitle>Eur J Clin Invest</addtitle><date>2020-06</date><risdate>2020</risdate><volume>50</volume><issue>6</issue><spage>e13246</spage><epage>n/a</epage><pages>e13246-n/a</pages><issn>0014-2972</issn><eissn>1365-2362</eissn><abstract>Background Following the SEPSIS‐3 consensus, detection of organ failure as assessed by the SOFA (Sequential Organ Failure Assessment) score, is mandatory to detect sepsis. Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is very specific but less sensible. Biomarkers could help to detect the presence of organ failure secondary to infection either in ICU and non‐ICU settings. Materials and methods We evaluated the ability of four biomarkers (C‐Reactive protein (CRP), lactate, mid‐regional proadrenomedullin (MR‐proADM) and procalcitonin (PCT)) to detect each kind of organ failure considered in the SOFA in 213 patients with infection, sepsis or septic shock, by using multivariate regression analysis and calculation of the area under the receiver operating curve (AUROC). Results In the multivariate analysis, MR‐proADM was an independent predictor of five different failures (respiratory, coagulation, cardiovascular, neurological and renal). In turn, lactate predicted three (coagulation, cardiovascular and neurological) and PCT two (cardiovascular and renal). CRP did not predict any of the individual components of SOFA. The highest AUROCs were those of MR‐proADM and PCT to detect cardiovascular (AUROC, CI95%): MR‐proADM (0.82 [0.76‐0.88]), PCT (0.81 [0.75‐0.87] (P &lt; .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (P &lt; .05). None of the biomarkers tested was able to detect hepatic failure. Conclusions In patients with infection, MR‐proADM was the biomarker detecting the largest number of SOFA score components, with the exception of hepatic failure.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>32307701</pmid><doi>10.1111/eci.13246</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7998-6268</orcidid></addata></record>
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subjects Adrenomedullin
Adrenomedullin - blood
Aged
Aged, 80 and over
Area Under Curve
Biomarkers
Blood Coagulation Disorders - blood
Blood Coagulation Disorders - diagnosis
C-Reactive Protein - metabolism
Cardiovascular Diseases - blood
Cardiovascular Diseases - diagnosis
Coagulation
Failure
Female
Heart Failure - blood
Heart Failure - diagnosis
Humans
infection
Infections
Infections - blood
Intensive Care Units
Kidneys
Lactic acid
Lactic Acid - blood
Liver
Liver Failure - blood
Liver Failure - diagnosis
Male
Mathematical analysis
Middle Aged
Multivariate Analysis
Nervous System Diseases - blood
Nervous System Diseases - diagnosis
Organ Dysfunction Scores
organ failure
Peptide Fragments - blood
Procalcitonin
Procalcitonin - blood
Protein Precursors - blood
Regression analysis
Renal failure
Renal Insufficiency - blood
Renal Insufficiency - diagnosis
Respiratory Insufficiency - blood
Respiratory Insufficiency - diagnosis
ROC Curve
Sepsis
Sepsis - blood
Sepsis - diagnosis
Septic shock
Shock, Septic - blood
Shock, Septic - diagnosis
title MR‐ proADM to detect specific types of organ failure in infection
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