Observational studyClinical and experimental nephrology2015
Variability of laboratory parameters is associated with frailty markers and predicts non-cardiac mortality in hemodialysis patients.
Observational study in Clinical and experimental nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Dynamic potassium variability (K-CV) as an independent predictor of mortality in maintenance hemodialysis.Renal failure · 2026Article
- PTH variability is associated with increased risk of mortality in Japanese hemodialysis patients.Clinical and experimental nephrology · 2026Article
- The Surprise Question in Hemodialysis, Frailty, Nutrition, Patient-reported Quality of Life, and All-Cause Mortality: The Osaka Dialysis Complication Study (ODCS).Kidney medicine · 2024Article
- Visit-to-visit variability in multiple biological measurements and cognitive performance and risk of cardiovascular disease: A cohort study.Cerebral circulation - cognition and behavior · 2024Article
- Association between annual variability of potassium levels and prognosis in patients undergoing hemodialysis.Clinical and experimental nephrology · 2023Article
- Effects of Niaoduqing granules on inflammatory response of diabetic kidney disease: A meta‑analysis.Experimental and therapeutic medicine · 2023Article
- Intercorrelated variability in blood and hemodynamic biomarkers reveals physiological network in hemodialysis patients.Scientific reports · 2023Article
- Association of single and serial measures of serum phosphorus with adverse outcomes in patients on peritoneal dialysis: results from the international PDOPPS.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023Article
- Estimation of homeostatic dysregulation and frailty using biomarker variability: a principal component analysis of hemodialysis patients.Scientific reports · 2020Article
- Proactive Measures to Combat a SARS-CoV-2 Transmission Among High Risk Patients and Health Care Workers in an Outpatient Dialysis Facility.Frontiers in pharmacology · 2020Article
- The Impact of CKD Anaemia on Patients: Incidence, Risk Factors, and Clinical Outcomes-A Systematic Literature Review.International journal of nephrology · 2020Article
- Markers of protein-energy wasting and physical performance in haemodialysis patients: A cross-sectional study.PloS one · 2020Article
- Elevated Red Cell Distribution Width Is Independently Associated With a Higher Frailty Risk Among 2,932 Community-Dwelling Older Adults.Frontiers in medicine · 2020Article
- BUN as an Independent Predictor of Post-Hospital-Discharge Mortality among Older Veterans.The journal of nutrition, health & aging · 2018Article
- Physical function at the time of dialysis initiation is associated with subsequent mortality.Clinical and experimental nephrology · 2017Observational
- Spontaneous variability of pre-dialysis concentrations of uremic toxins over time in stable hemodialysis patients.PloS one · 2017Article
- Aging and death-associated changes in serum albumin variability over the course of chronic hemodialysis treatment.PloS one · 2017Article
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Authors and funding
5 authors.
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Abstract
backgroundThe levels of many laboratory parameters are associated with the outcomes of dialysis patients, but the significance of their variability has not been well studied.
methodsA total of 384 patients receiving stable hemodialysis treatment during 2002 were followed up for mortality until the end of 2013. The within-patient coefficients of variation (CV) were calculated for 13 laboratory parameters from 1 year of data. We defined variability as CV and analyzed the survival of the patients according to the baseline CV values of each parameter by proportional hazard modeling.
resultsDuring the 11-year observation period, 125 patients died. Higher CV levels for eight parameters, namely, blood urea nitrogen (BUN), sodium, hemoglobin, creatinine, total protein, albumin, potassium and phosphate, were significantly associated with all-cause mortality. The adjusted hazard ratios for a high BUN-CV (>15 %) and a high Na-CV (>1.3 %) against a lower CV were 1.92 (95 % CI 1.31-2.81) and 1.95 (1.36-2.80), respectively. The increased mortality risk associated with each variability was attributed to excess non-cardiac deaths. The CV values of most parameters were correlated with each other and often exhibited negative associations with age, diabetes, and mobility as well as the levels of hemoglobin, albumin, creatinine, Na, the protein catabolic rate, and the creatinine generation rate. Therefore, a high variability was generally associated with frailty-related adverse prognostic factors.
conclusionsThe variability of several blood parameters had a significant impact on all-cause and non-cardiac mortality. The levels of the variabilities were most likely related to poor physical conditions of the patients.
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