Factors associated with renal function state transitions: A population-based community survey in Taiwan

Abstract

BackgroundUnderstanding renal function state transition risk and associated factors in community residences is vital for appropriate preventive and care actions. We aim to investigate factors affecting renal function state transitions through 10-year longitudinal community screening surveys.MethodsThe prospective cohort study included participants who attended the screening program ≥2 times from 2001 to 2009 and were divided into two cohorts: those with baseline estimated glomerular filtration rate (eGFR) ≥60 (n = 46,278) and those with eGFR 59–30 mL/min/1.73 m2 (n = 4,656). We applied the illness-death model to identify associated factors with eGFR <60 and death for the cohort with baseline eGFR ≥60 and eGFR <30 and death for that with baseline eGFR ≥59–30.ResultsAmong the followed-up participants, 3,018 (6.5%) in the cohort of baseline eGFR ≥60 mL/min/1.73 m2 and 322 (6.9%) in the cohort of eGFR 59–30 mL/min/1.73 m2 experienced renal function state transition during a median over 7-year follow-up. Besides eGFR and grade of proteinuria, diabetes mellitus (adding nearly 50% hazard rate) is the main factor associated with both state transitions. Other early-phase eGFR state transition risk factors were metabolic syndrome score, triglyceride, uric acid, fasting blood sugar, and high-density lipoprotein cholesterol. Males, poor hemoglobin, high triglyceride, and high low-density lipoprotein cholesterol were all linked with the late-phase eGFR state transition hazard rate.ConclusionThe study developed the state transition functions for community participants with varying renal function levels. Further actions to develop precision screening plans and services that incorporate personal risk factors and state transition risks are necessary.

An integrated machine learning predictive scheme for longitudinal laboratory data to evaluate the factors determining renal function changes in patients with different chronic kidney disease stages

“…Such kidney damage is associated with the accumulation of uremic toxins, inflammatory factors, and oxidative stress ( 72 ). Therefore, patients with DM have different risk profiles of CKD progression compared with those without DM ( 73 ); moreover, proteinuria is usually observed in patients with DM ( 74 ) and is well-known to be robustly associated with CKD progression ( 75 ). However, in our study, proteinuria was an important factor only in patients with moderate CKD without DM and those with advanced CKD with DM.…”