1. Factors Associated with Frailty and Its Trajectory among Patients on Hemodialysis
- Author
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Cynthia Delgado, Barbara Grimes, Kirsten L. Johansen, Lorien S. Dalrymple, George A. Kaysen, Glenn M. Chertow, Mark R. Segal, and Janet M. Chiang
- Subjects
Adult ,Male ,medicine.medical_specialty ,Georgia ,Time Factors ,Epidemiology ,medicine.medical_treatment ,Health Status ,030232 urology & nephrology ,Serum Albumin, Human ,Comorbidity ,Critical Care and Intensive Care Medicine ,End stage renal disease ,03 medical and health sciences ,0302 clinical medicine ,Renal Dialysis ,Risk Factors ,Internal medicine ,medicine ,Diabetes Mellitus ,Humans ,030212 general & internal medicine ,Generalized estimating equation ,Aged ,Transplantation ,Rehabilitation ,Frailty ,business.industry ,Interleukin-6 ,Original Articles ,Hispanic or Latino ,Middle Aged ,medicine.disease ,Confidence interval ,Hospitalization ,Treatment Outcome ,Nephrology ,Cohort ,Physical therapy ,Kidney Failure, Chronic ,Female ,San Francisco ,Hemodialysis ,Inflammation Mediators ,business ,Biomarkers ,Cohort study - Abstract
Background and objectives Frailty is common among patients on hemodialysis and associated with adverse outcomes. However, little is known about changes in frailty over time and the factors associated with those changes. Design, setting, participants, & measurements To address these questions, we examined 762 participants in the A Cohort to Investigate the Value of Exercise/Analyses Designed to Investigate the Paradox of Obesity and Survival in ESRD cohort study, among whom frailty was assessed at baseline and 12 and 24 months. We used ordinal generalized estimating equations analyses and modeled frailty (on a scale from zero to five possible components) and death during follow-up. Results The mean frailty score at baseline was 1.9, and the distribution of frailty scores was similar at each evaluation. However, most participants’ scores changed, with patients improving almost as often as worsening (overall change, 0.2 points per year; 95% confidence interval, 0.1 to 0.3). Hispanic ethnicity (0.6 points per year; 95% confidence interval, 0.0 to 1.1) and diabetes (0.7 points per year; 95% confidence interval, 0.3 to 1.0) were associated with higher frailty scores and higher serum albumin concentration with lower frailty scores (−1.1 points per g/dl; 95% confidence interval, −1.5 to −0.7). In addition, patients whose serum albumin increased over time were less likely to become frail, with each 1-g/dl increase in albumin associated with a 0.4-point reduction in frailty score (95% confidence interval, −0.80 to −0.05). To examine the underpinnings of the association between serum albumin and frailty, we included serum IL-6, normalized protein catabolic rate, and patient self-report of hospitalization within the last year in a second model. Higher IL-6 and hospitalization were statistically significantly associated with worse frailty at any point and worsening frailty over time, whereas normalized protein catabolic rate was not independently associated with frailty. Conclusions There was substantial year to year variability in frailty scores, with approximately equal numbers of patients improving and worsening. Markers of inflammation and hospitalization were independently associated with worsening frailty. Studies should examine whether interventions to address inflammation or posthospitalization rehabilitation can improve the trajectory of frailty. Podcast This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2017_06_06_Johansen.mp3
- Published
- 2017