Wu H.-Y.KUAN-YU HUNGTAO-MIN HUANGHu F.-C.Peng Y.-S.JENQ-WEN HUANGSHUEI-LIONG LINYUNG-MING CHENTZONG-SHINN CHUTUN-JUN TSAIKWAN-DUN WU2020-12-242020-12-2420121932-6203https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856102509&doi=10.1371%2fjournal.pone.0030337&partnerID=40&md5=95c879c1553991fd1f838f693f0039fdhttps://scholars.lib.ntu.edu.tw/handle/123456789/531591Background: Effects of long-term glucose load on peritoneal dialysis (PD) patient safety and outcomes have seldom been reported. This study demonstrates the influence of long-term glucose load on patient and technique survival. Methods: We surveyed 173 incident PD patients. Long-term glucose load was evaluated by calculating the average dialysate glucose concentration since initiation of PD. Risk factors were assessed by fitting Cox's models with repeatedly measured time-dependent covariates. Results: We noted that older age, higher glucose concentration, and lower residual renal function (RRF) were significantly associated with a worse patient survival. We found that female gender, absence of diabetes, lower glucose concentration, use of icodextrin, higher serum high density lipoprotein cholesterol, and higher RRF were significantly associated with a better technique survival. Conclusions: Long-term glucose load predicted mortality and technique failure in chronic PD patients. These findings emphasize the importance of minimizing glucose load in PD patients. ? 2012 Wu et al.[SDGs]SDG3glucose; high density lipoprotein cholesterol; icodextrin; glucose; adult; article; cholesterol blood level; controlled study; diabetes mellitus; dialysate level; disease association; female; follow up; glucose tolerance test; human; kidney failure; kidney function test; major clinical study; male; outcome assessment; patient safety; peritoneal dialysis; prediction; risk assessment; risk factor; sex difference; survival rate; cohort analysis; demography; middle aged; multivariate analysis; proportional hazards model; statistical model; survival; time; Cohort Studies; Demography; Female; Glucose; Humans; Linear Models; Male; Middle Aged; Multivariate Analysis; Peritoneal Dialysis; Proportional Hazards Models; Risk Factors; Survival Analysis; Time Factorsjournal article10.1371/journal.pone.0030337223034402-s2.0-84856102509