Tae Woo Kim1,2, Tae Ik Chang1,3, Tae Hee Kim1,4, Jason A Chou1, Melissa Soohoo1, Vanessa A Ravel1, Csaba P Kovesdy5, Kamyar Kalantar-Zadeh1,6, Elani Streja1,6. 1. Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, California, USA. 2. Department of Internal Medicine, Soon Chun Hyang University Hospital, Gumi, Republic of Korea. 3. Department of Internal Medicine, NHIS Medical Center, Ilsan Hospital, Goyangshi, Republic of Korea. 4. Department of Internal Medicine, Inje University, Busan, Republic of Korea. 5. Division of Nephrology, University of Tennessee Health Science Center, Memphis, Tennessee, USA. 6. Department of Medicine, Long Beach Veteran Affairs Health System, Long Beach, California, USA.
Abstract
BACKGROUND/AIMS: Ultrafiltration rate (UFR) appears to be associated with mortality in prevalent hemodialysis (HD) patients. However, the association of UFR with mortality in incident HD patients remains unknown. METHODS: We examined a US cohort of 110,880 patients who initiated HD from 2007 to 2011. Baseline UFR was divided into 5 groups (<4, 4 to <6, 6 to <8, 8 to <10, and ≥10 mL/h/kg body weight [BW]). We examined predictors of higher baseline UFR using logistic regression and the association of baseline UFR and all-cause and cardiovascular (CV) mortality using Cox proportional hazard models with adjustments for demographics, comorbidities, and markers of malnutrition-inflammation-cachexia syndrome. RESULTS: Patients were 63 ± 15 years, with 43% women, 32% African Americans, and had a mean baseline UFR of 7.5 ± 3.1 mL/h/kg BW. In the fully adjusted logistic regression models, factors associated with higher UFR (≥7.5 mL/h/kg BW) included Hispanic ethnicity, diabetes, and higher dietary protein intake. There was a linear association between UFR and all-cause and CV mortality, where UFR ≥10 mL/h/kg BW (reference UFR 6-<8 mL/h/kg BW) conferred the highest risk in both unadjusted (HR 1.15 [95% CI 1.10-1.19]) and adjusted models (HR 1.23 [95% CI 1.16-1.31]). The linear association with all-cause mortality remained consistent across strata of age, urine volume, and treatment time. CONCLUSIONS: Higher UFR is independently associated with higher all-cause and CV mortality in incident HD patients. Clinical trials are warranted to examine the effects of lowering UFR on outcomes.
BACKGROUND/AIMS: Ultrafiltration rate (UFR) appears to be associated with mortality in prevalent hemodialysis (HD) patients. However, the association of UFR with mortality in incident HDpatients remains unknown. METHODS: We examined a US cohort of 110,880 patients who initiated HD from 2007 to 2011. Baseline UFR was divided into 5 groups (<4, 4 to <6, 6 to <8, 8 to <10, and ≥10 mL/h/kg body weight [BW]). We examined predictors of higher baseline UFR using logistic regression and the association of baseline UFR and all-cause and cardiovascular (CV) mortality using Cox proportional hazard models with adjustments for demographics, comorbidities, and markers of malnutrition-inflammation-cachexia syndrome. RESULTS:Patients were 63 ± 15 years, with 43% women, 32% African Americans, and had a mean baseline UFR of 7.5 ± 3.1 mL/h/kg BW. In the fully adjusted logistic regression models, factors associated with higher UFR (≥7.5 mL/h/kg BW) included Hispanic ethnicity, diabetes, and higher dietary protein intake. There was a linear association between UFR and all-cause and CV mortality, where UFR ≥10 mL/h/kg BW (reference UFR 6-<8 mL/h/kg BW) conferred the highest risk in both unadjusted (HR 1.15 [95% CI 1.10-1.19]) and adjusted models (HR 1.23 [95% CI 1.16-1.31]). The linear association with all-cause mortality remained consistent across strata of age, urine volume, and treatment time. CONCLUSIONS: Higher UFR is independently associated with higher all-cause and CV mortality in incident HDpatients. Clinical trials are warranted to examine the effects of lowering UFR on outcomes.
Authors: Raghavan Murugan; Samantha J Kerti; Chung-Chou H Chang; Martin Gallagher; Gilles Clermont; Paul M Palevsky; John A Kellum; Rinaldo Bellomo Journal: JAMA Netw Open Date: 2019-06-05
Authors: Jennifer E Flythe; Sai Liu; Maria E Montez-Rath; Wolfgang C Winkelmayer; Tara I Chang Journal: Nephrol Dial Transplant Date: 2021-11-09 Impact factor: 7.186