C Demirci1, G Aşcı2, M S Demirci2, M Özkahya2, H Töz2, S Duman2, S Sipahi3, S Erten4, M Tanrısev5, E Ok2. 1. FMC Turkey Clinics, Izmir, Turkey. demircen@hotmail.com. 2. Division of Nephrology, Ege University School of Medicine, Izmir, Turkey. 3. Sakarya University Training and Research Hospital, Sakarya, Turkey. 4. FMC Turkey Clinics, Izmir, Turkey. 5. Tepecik Training and Research Hospital, Izmir, Turkey.
Abstract
PURPOSE: Impedance ratio (Imp-R) obtained by multifrequency bioimpedance analysis (BIA) has been shown to be associated with volume and nutrition status. In this prospective study, the predictive role of Imp-R for mortality in hemodialysis (HD) patients was investigated. METHODS: Multifrequency (5-50-100-200 kHz) BIA was applied to 493 prevalent HD patients in March-April 2006. Imp-R was defined as the ratio of 200-5 kHz impedance values. Demographical, clinical and laboratory data at the time of the analysis were recorded. All-cause and cardiovascular (CV) mortality were assessed during 3 years of follow-up. RESULTS: Mean age was 57.7 ± 13.9 years, HD duration 52.1 ± 42.6 months and prevalence of diabetes 21.7 %. Imp-R was negatively correlated with nutritional markers including albumin, creatinine and hemoglobin levels. In addition, there was a positive correlation between Imp-R and age, ratio of extracellular water to total body water and high-sensitive C-reactive protein. Over a mean follow-up period of 27.9 ± 11.1 months, 93 deaths (52 from CV reasons) were observed. In the multivariate analysis, Imp-R was significantly associated with all-cause and CV mortality after adjustments [HR 1.13, 95 % CI (1.04-1.23); p = 0.004 and HR 1.15, 95 % CI (1.03-1.27); p = 0.01, respectively]. The risk of all-cause mortality was 3.4 times higher in the fourth quartile of Imp-R (>83.5 %) compared to the first Imp-R quartile (<78.8 %) as reference. Cutoff value of Imp-R for all-cause mortality was 82.0 % with a sensitivity of 65.5 % and specificity of 64 %. CONCLUSION: Impedance ratio measured by multifrequency in standardized conditions BIA is an independent and powerful predictor of both all-cause and CV mortality in hemodialysis patients.
PURPOSE: Impedance ratio (Imp-R) obtained by multifrequency bioimpedance analysis (BIA) has been shown to be associated with volume and nutrition status. In this prospective study, the predictive role of Imp-R for mortality in hemodialysis (HD) patients was investigated. METHODS: Multifrequency (5-50-100-200 kHz) BIA was applied to 493 prevalent HDpatients in March-April 2006. Imp-R was defined as the ratio of 200-5 kHz impedance values. Demographical, clinical and laboratory data at the time of the analysis were recorded. All-cause and cardiovascular (CV) mortality were assessed during 3 years of follow-up. RESULTS: Mean age was 57.7 ± 13.9 years, HD duration 52.1 ± 42.6 months and prevalence of diabetes 21.7 %. Imp-R was negatively correlated with nutritional markers including albumin, creatinine and hemoglobin levels. In addition, there was a positive correlation between Imp-R and age, ratio of extracellular water to total body water and high-sensitive C-reactive protein. Over a mean follow-up period of 27.9 ± 11.1 months, 93 deaths (52 from CV reasons) were observed. In the multivariate analysis, Imp-R was significantly associated with all-cause and CV mortality after adjustments [HR 1.13, 95 % CI (1.04-1.23); p = 0.004 and HR 1.15, 95 % CI (1.03-1.27); p = 0.01, respectively]. The risk of all-cause mortality was 3.4 times higher in the fourth quartile of Imp-R (>83.5 %) compared to the first Imp-R quartile (<78.8 %) as reference. Cutoff value of Imp-R for all-cause mortality was 82.0 % with a sensitivity of 65.5 % and specificity of 64 %. CONCLUSION: Impedance ratio measured by multifrequency in standardized conditions BIA is an independent and powerful predictor of both all-cause and CV mortality in hemodialysis patients.
Authors: A Rashid Qureshi; Anders Alvestrand; José C Divino-Filho; Alberto Gutierrez; Olof Heimbürger; Bengt Lindholm; Jonas Bergström Journal: J Am Soc Nephrol Date: 2002-01 Impact factor: 10.121
Authors: Matthew Tabinor; Emma Elphick; Michael Dudson; Chun Shing Kwok; Mark Lambie; Simon J Davies Journal: Sci Rep Date: 2018-03-13 Impact factor: 4.379
Authors: David Naranjo-Hernández; Javier Reina-Tosina; Laura M Roa; Gerardo Barbarov-Rostán; Nuria Aresté-Fosalba; Alfonso Lara-Ruiz; Pilar Cejudo-Ramos; Francisco Ortega-Ruiz Journal: Sensors (Basel) Date: 2019-12-21 Impact factor: 3.576