Journal of Parenteral and Enteral Nutrition · 2020 · 11 citations · 28 references
MedicineBiomedical EngineeringEmergency MedicineBioinstrumentationEmergencyPhysiological Systems ModelingFluid ResuscitationIntensive Care MedicineBioelectrical Impedance Analysis CriteriaBioelectrical Impedance MonitoringCox RegressionDiagnostic Concordance AnalysisExtracellular Fluid AssessmentImpedance AnalysisImpedance MonitoringImpedance Parameters
Abstract Background Fluid overload (FO) in critically ill patients is associated with increased adverse events. This study aims to compare different bioelectrical impedance analysis (BIA) parameters that demonstrate FO and their association with 30‐day mortality in critical patients admitted to the emergency department (ED). Methods Five components of the BIA were obtained by multifrequency device—total body water (TBW), extracellular water (ECW), intracellular water (ICW), resistance (R), and reactance (Xc)—to calculate parameters (impedance vectors, impedance ratio, and the ratios of ECW to TBW, ECW to ICW, ECW to body surface area, TBW to height 2 , ICW to height 2 , Xc to height, and R to height) that have been used for the detection of FO. A concordance analysis (κ) was performed comparing every parameter with each other. Furthermore, different regression models (Cox regression) were created associating the FO for each parameter with 30‐day mortality, adjusted for age, body mass index, sex, Sequential Organ Failure Assessment score, and serum albumin level. Results A total of 142 patients were included in the study. Only FO by impedance vector analysis (relative risk [RR] = 6.4; 95% CI, 1.5–27.9; P = .01), impedance ratio (RR = 2.7; 95% CI, 1.1–7.1; P = .04), and R (RR = 2.6; 95% CI, 1.2–5.5; P = .02) increased the probability of 30‐day mortality. Conclusions Different parameters that determine FO by BIA were associated with the mortality of patients admitted to the ED, but the impedance vector analysis was superior to any other parameter of the BIA.
28
Fluid balance and cardiac function in septic shock as predictors of hospital mortality
Scott T. Micek, Colleen McEvoy, Matthew McKenzie et al. · Critical Care · 2013 · 156 citations · Full text
Sara Samoni, Valentina Vigo, Luis Ignacio Bonilla Reséndiz et al. · Critical Care · 2016 · 108 citations · Full text