Current guidelines recommend assessing glycemic control using continuous glucose monitoring (CGM), which provides a comprehensive glycemic profile to supplement HbA1c measurement. However, the association between CGM-derived metrics and risk of adverse kidney outcomes is not entirely clear. This retrospective cohort study included 1274 patients with type 2 diabetes hospitalized from July 2020 to December 2022, with a median follow-up time of 923 days. Monitor using CGM at baseline and evaluate renal function indicators of participants at baseline and end of follow-up. Multiple CGM-derived metrics, particularly time in range (TIR) and glucose coefficient of variation (CV), were calculated from 3-day glucose profiles obtained from CGM. Relevant clinical data was collected from clinical records and/or patient interviews. The primary outcome was chronic-kidney-disease (CKD) progression. Secondary outcomes included worsening of albuminuria and, all-cause mortality and major-adverse-cardiac-events(MACE). Multivariate regression models were employed to analyze the association between CGM-derived indices, particularly TIR and CV, and the risk of adverse kidney outcomes. We demonstrated that the lower TIR categories had a remarkably increased risk of CKD progression, with a HR per 10 % increment of 0.90 (95 %CI:0.83-0.91). Conversely, higher CV was positively related to the subsequent risk of CKD progression, with an HR per 10 % increment of 1.30 (95 %CI:1.07-1.59). These results were consistent across various subgroups and sensitivity analyses. This study found that TIR and CV are significantly associated with CKD progression, proteinuria deterioration, all-cause mortality, and the risk of MACE. These findings have elasticity in adjusting for multiple covariates and have been confirmed in different subgroups and sensitivity analyses.