title: Bioelectrical impedance analysis values as markers to predict severity in critically ill patients.
abstract: We investigated bioelectrical impedance analysis (BIA)-derived parameters in critically ill patients to evaluate any differences between survivors and nonsurvivors.
  
  
  
  We calculated severity scores for 241 critically ill surgical patients (161 male and 80 female; mean age, 62.9years) using three severity scoring systems (Acute Physiology and Chronic Health Evaluation II, Sequential Organ Failure Assessment, and Simplified Acute Physiology Score III). Body composition was measured using a portable BIA device for segmental BIA.
  
  
  
  Among the BIA values, impedance (odds ratio [OR], 0.99; P<0.001), reactance (OR 0.90; P<0.001), and phase angle (PhA) (OR, 0.53; P<0.001) were highly statistically significant for predicting mortality in univariate and multivariate logistic regression analysis. Comparison of area under the curve (AUC) between severity scoring systems and BIA values showed statistically significant differences between reactance and PhA with all three severity scoring systems. Covariate-adjusted receiver operating characteristic curve analysis showed that compared with severity scoring, all three BIA values (impedance, reactance, and PhA) had higher AUC values.
  
  
  
  PhA, impedance, and reactance determined by BIA in critically ill patients were associated with mortality outcomes and revealed stronger predictive power for mortality than severity scoring systems commonly used in an intensive care unit.
authors.affiliation: Food Service and Clinical Nutrition Team, Ajou University Hospital, Worldcup-ro 164, Yeongtong-gu, Suwon 16499, Republic of Korea. Electronic address: yeonlee@aumc.ac.kr.
authors.forename: Yeon Hee
authors.initials: YH
authors.lastname: Lee
authors.affiliation: Office of Biostatistics, Ajou University School of Medicine, Worldcup-ro 164, Yeongtong-gu, Suwon 16499, Republic of Korea. Electronic address: obs@aumc.ac.kr.
authors.forename: Jung-Dong
authors.initials: JD
authors.lastname: Lee
authors.affiliation: Office of Biostatistics, Ajou University School of Medicine, Worldcup-ro 164, Yeongtong-gu, Suwon 16499, Republic of Korea. Electronic address: dykang@aumc.ac.kr.
authors.forename: Dae Ryong
authors.initials: DR
authors.lastname: Kang
authors.affiliation: Department of Surgery, Ajou University School of Medicine, Worldcup-ro 164, Yeongtong-gu, Suwon 16499, Republic of Korea. Electronic address: hongj@ajou.ac.kr.
authors.forename: Jeong
authors.initials: J
authors.lastname: Hong
authors.affiliation: Department of Hepatobiliary Pancreatic Surgery, Korea University Anam Hospital, Korea University College of Medicine, Inchon-ro 73, Seongbuk-gu, Seoul, Republic of Korea. Electronic address: ljm3225@hanmail.net.
authors.forename: Jae-Myeong
authors.initials: JM
authors.lastname: Lee
mesh_terms: D018806:APACHE; D015415:Biomarkers; D016638:Critical Illness / Q000401:mortality*; D017097:Electric Impedance; D005260:Female; D006801:Humans; D007362:Intensive Care Units; D008297:Male; D008875:Middle Aged; D063305:Organ Dysfunction Scores; D011237:Predictive Value of Tests; D012372:ROC Curve; D012720:Severity of Illness Index; D000072878:Simplified Acute Physiology Score
chemical_list: D015415:Biomarkers
keywords: Bioelectrical impedance; Biomarkers; Critical illness; Severity of illness index