Validation of chronic @entity8 risk categorization system in Chinese @entity1 with XXXX : a Cohort study.

@entity1 @entity644 @entity8 @entity1009 @entity454
AIM: To validate the @entity8 : Improving Global Outcomes (KDIGO) guidelines risk stratification system based on the combination of eGFR and @entity644 . METHODS: It was a cohort study. A total of 1219 study population were recruited. Estimated Glomerular filtration rate (eGFR) and @entity644 measured by using 24 hours urine protein excretion rate (PER) were predictors. Adverse outcomes included all-cause mortality (ACM) and @entity454 ( @entity454 ). Follow-up was done by regular visit, telephone interview and electronic medical records. RESULTS: Over a median follow-up of 4.6 years, 153 (12.6%) and 43 (3.5%) @entity1 experienced @entity454 and ACM, respectively. On multivariable analysis, the adjusted hazard ratio for @entity454 and ACM (compared with @entity1 with eGFR > 60 mL/ @entity1009 .73 m2) was of 29.8 and 3.6 for those with eGFR of 15-29 mL/ @entity1009 .73 m(2) , respectively. The adjusted hazard ratio for @entity454 and ACM (compared with @entity1 with PER     150 mg/24h) was of 15.9 and 3.9 for those with PER    500 mg/24h. Higher KDIGO guidlines risk categories (indicating lower eGFR or higher @entity644 ) were associated with a graded increase in the risk for the @entity454 (P   0.001) and ACM (P   0.001). Reclassification of KDIGO guidelines risk categories yielded net reclassification improvements for those with @entity454 or ACM event (NRIevents ) of 33.3% or 30.2%. CONCLUSION: Lower eGFR and higher @entity644 are risk factors for @entity454 and ACM in Chinese @entity1 . The KDIGO guidelines risk categorization system assigned @entity1 who went on to have the event to more appropriate CKD risk categories.
