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...
Gespeichert in:
Veröffentlicht in: | European journal of clinical investigation 2020-06, Vol.50 (6), p.e13246-n/a |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2407819209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2407819209</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3536-4aa68a5b623ad8d3773500eca603ea32462fcaf1a07e23295a81c7f36e01a7b93</originalsourceid><addsrcrecordid>eNp1kLFOwzAQhi0EoqUw8ALIEhND2rOd2MlYhQKVWiEhmC3XsVGqNgl2ItSNR-AZeRJcUtg4nXTLp-_ufoQuCYxJqInR5ZgwGvMjNCSMJxFlnB6jIQCJI5oJOkBn3q8BIA3YKRowykAIIEOUL5--Pj5x4-rp7RK3NS5Ma3SLfROkttS43TXG49ri2r2qCltVbjpncFmFtoEs6-ocnVi18ebiMEfo5W72nD9Ei8f7eT5dRJoljEexUjxVyYpTpoq0YEKwBMBoxYEZtT-fWq0sUSAMZTRLVEq0sIwbIEqsMjZC1703XPvWGd_Kdd25KqyUNAaRkozCnrrpKe1q752xsnHlVrmdJCD3ccnwmfyJK7BXB2O32prij_zNJwCTHngvN2b3v0nO8nmv_AY82nJ9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2407819209</pqid></control><display><type>article</type><title>MR‐ proADM to detect specific types of organ failure in infection</title><source>MEDLINE</source><source>Access via Wiley Online Library</source><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.</creator><creatorcontrib>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.</creatorcontrib><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 < .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (P < .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 < .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (P < .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 < .05) and renal failure: MR‐proADM (0.87 [0.82‐0.92]), PCT (0.81 [0.75‐0.86]), (P < .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> |
fulltext | fulltext |
identifier | ISSN: 0014-2972 |
ispartof | European journal of clinical investigation, 2020-06, Vol.50 (6), p.e13246-n/a |
issn | 0014-2972 1365-2362 |
language | eng |
recordid | cdi_proquest_journals_2407819209 |
source | MEDLINE; Access via Wiley Online Library |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T04%3A58%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MR%E2%80%90%20proADM%20to%20detect%20specific%20types%20of%20organ%20failure%20in%20infection&rft.jtitle=European%20journal%20of%20clinical%20investigation&rft.au=Andr%C3%A9s,%20Cristina&rft.date=2020-06&rft.volume=50&rft.issue=6&rft.spage=e13246&rft.epage=n/a&rft.pages=e13246-n/a&rft.issn=0014-2972&rft.eissn=1365-2362&rft_id=info:doi/10.1111/eci.13246&rft_dat=%3Cproquest_cross%3E2407819209%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2407819209&rft_id=info:pmid/32307701&rfr_iscdi=true |