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

被引:25
作者
Andres, Cristina [1 ]
Andaluz-Ojeda, David [2 ]
Cicuendez, Ramon [2 ]
Nogales, Leonor [2 ]
Martin, Silvia [3 ,4 ]
Martin-Fernandez, Marta [4 ,5 ]
Almansa, Raquel [4 ,5 ]
Calvo, Dolores [1 ]
Carmen Esteban-Velasco, Maria [6 ]
Mario Vaquero-Roncero, Luis [4 ,7 ]
Rios-Llorente, Alberto [7 ]
Sanchez-Barrado, Elisa [7 ]
Munoz-Bellvis, Luis [6 ,8 ,9 ]
Aldecoa, Cesar [3 ,4 ]
Bermejo-Martin, Jesus F. [4 ,5 ,10 ]
机构
[1] Hosp Clin Univ Valladolid, Clin Anal Serv, Valladolid, Spain
[2] Hosp Clin Univ Valladolid, Intens Care Med Unit, Valladolid, Spain
[3] Hosp Univ Rio Hortega, Anesthesiol & Reanimat Serv, Valladolid, Spain
[4] Inst Invest Biomed Salamanca IBSAL, Grp Biomed Res Sepsis BioSepsis, Salamanca, Spain
[5] Hosp Univ Rio Hortega Valladolid, Valladolid, Spain
[6] Hosp Univ Salamanca, Dept Gen & Gastrointestinal Surg, Salamanca, Spain
[7] Hosp Univ Salamanca, Anesthesiol & Reanimat Serv, Salamanca, Spain
[8] Univ Salamanca, Edificio Rectorado, Salamanca, Spain
[9] Inst Salud Carlos III ISCIII, Ctr Invest Biomed Red Oncol CIBERONC, Madrid, Spain
[10] Inst Salud Carlos III ISCIII, Ctr Invest Biomed Red Enfermedades Resp CIBERES C, Madrid, Spain
关键词
biomarkers; infection; organ failure; sepsis; INTERNATIONAL CONSENSUS DEFINITIONS; CALCITONIN-I GENE; ENDOTHELIAL DYSFUNCTION; SEPTIC SHOCK; SEPSIS; BIOMARKERS; EXPRESSION; MORTALITY; CRITERIA; PROADRENOMEDULLIN;
D O I
10.1111/eci.13246
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
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.
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页数:9
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