Age- and gender-adjusted estimated glomerular filtration rate definition reveals hyperfiltration as a risk factor for renal function deterioration in type 2 diabetes.

AIM: To assess the role of hyperfiltration for diabetic kidney disease (DKD) progression. MATERIALS AND METHODS: A retrospective observational cohort study enrolled type 2 diabetes (T2D) patients with an initial estimated glomerular filtration rate (eGFR) of 60 mL/min/1.73m2 or higher. Patients were categorized into two groups: hyperfiltration (eGFR exceeding the age- and gender-specific 95th percentile values from a prior national cohort study) and normofiltration. Rapid DKD progression was defined as an eGFR decline of more than 5 mL/min/1.73m2/year. We used a linear mixed effect model and Cox regression with time-varying covariate model to compare eGFR changes and identify factors associated with rapid DKD progression. RESULTS: Of the enrolled 7563 T2D patients, 7.2% had hyperfiltration. The hyperfiltration group exhibited a higher rate of eGFR decline compared with the normofiltration group (-2.0 ± 0.9 vs. -1.1 ± 0.9 mL/min/1.73m2/year; P < .001). During an average follow-up period of 4.65 ± 3.86 years, 24.7% of patients with hyperfiltration experienced rapid DKD progression, compared with 15.7% of patients with normofiltration (P < .001). Cox regression analyses identified that initial hyperfiltration was a significant determinant of rapid DKD progression, with a hazard ratio of 1.66 (95% confidence interval: 1.41-1.95; P < .001). When combined with albuminuria, the risk of progression was further compounded (hazard ratio 1.76-3.11, all P < .001). CONCLUSIONS: In addition to using the current Kidney Disease: Improving Global Outcomes CGA classification system, considering glomerular hyperfiltration status can improve the accuracy of predicting DKD progression.

The association of obstructive sleep apnea and renal outcomes-a systematic review and meta-analysis.

BACKGROUND: The aim of this systematic review and meta-analysis was to summarize the association of obstructive sleep apnea (OSA) with renal outcome. METHODS: Our study followed the PRISMA guidelines. Two independent reviewers searched for relevant articles in the databases of Pubmed, the Web of Science and CENTRAL, and conducted study selection and quality assessment. A random-effect model was used to estimate the effects. RESULTS: total of 1240 articles were initially identified (Pubmed = 568, Web of Science = 640, CENTRAL = 32). After removal of duplicate articles (n = 415) and irrelevant articles (n = 788), 37 were selected for full-text review, and 18 were finally included in the analysis. Overall, patients diagnosed with OSA were found to have a higher odds ratio (OR) of a poorer renal outcome, with a pooled OR of 1.77 (95% C.I.: 1.37­2.29). The significant association between OSA and a poorer renal outcome was not affected by the medical condition of diabetes mellitus (DM). In addition, we found that OSA was consistently associated with higher albuminuria/proteinuria and a lower estimated glomerular filtration rate (eGFR), with a pooled OR of 1.84 (95% C.I.: 1.24­2.73) and 1.60 (95% C.I.: 1.19­2.16), respectively. A greater OSA severity was also found to be related to a higher OR, with a mild group OR of 1.45 (95% C.I.: 1.19­1.77) and a moderate and severe group OR of 2.39 (95% C.I.: 1.96­2.90). CONCLUSIONS: Our study demonstrated that OSA is significantly associated with poorer renal function.

Elevated serum cytokeratin-18 concentration in patients with type 2 diabetes mellitus and non-alcoholic fatty liver disease.

BACKGROUND: Serum cytokeratin-18 is believed to be a marker of hepatic cell damage. However, few studies have discussed about the serum cytokeratin-18 concentration in type 2 diabetes mellitus patients and investigated its association with non-alcoholic fatty liver disease as well as metabolic biomarkers. METHODS: Healthy participants and type 2 diabetes mellitus patients were enrolled. Physical and metabolic factors were recorded, and non-alcoholic fatty liver disease was screened by abdominal ultrasound and the fatty liver index. The cytokeratin-18 concentration was detected using two commercially available immunoassay kits (M30 and M65 ELISA kit, Previa AB, Sweden). RESULTS: Overall, 22.8% (29/127) and 35.9% (42/117) of the participants were diagnosed with non-alcoholic fatty liver disease in the non-diabetes mellitus group and type 2 diabetes mellitus group, respectively. In the non-diabetes mellitus group and type 2 diabetes mellitus group, our result showed that participants with non-alcoholic fatty liver disease had a higher serum cytokeratin-18 M30 and cytokeratin-18 M65 concentration as compared with participants without non-alcoholic fatty liver disease. Interestingly, as compared with healthy participants without non-alcoholic fatty liver disease, our result also demonstrated that type 2 diabetes mellitus patients without non-alcoholic fatty liver disease had a higher serum cytokeratin-18 M30 (108.4 ± 66.2 vs. 87.1 ± 34.6 U/L; P = 0.038) and cytokeratin-18 M65 concentration (285.4 ± 115.3 vs. 248.5 ± 111.3 U/L; P = 0.031). The independent relationship between type 2 diabetes mellitus and cytokeratin-18 was further strengthened by the significant positive association between fasting plasma glucose and serum cytokeratin-18 concentration via multivariate regression analyses (cytokeratin-18 M30: ß = 0.034, P = 0.029; cytokeratin-18 M65: ß = 0.044, P = 0.002). CONCLUSIONS: Independent of non-alcoholic fatty liver disease, our results suggested that the cytokeratin-18 concentration is closely associated with the hyperglycaemic milieu. The association between serum cytokeratin-18 and type 2 diabetes mellitus may be worthy of further investigation.

Renal function preservation with pioglitazone or with basal insulin as an add-on therapy for patients with type 2 diabetes mellitus.

AIMS: Clinical outcome may differ owing to the distinct pharmacological characteristics of insulin sensitizers and insulin. This study was performed to compare the metabolic and renal function changes with add-on pioglitazone treatment versus basal insulin in patients with type 2 diabetes mellitus (DM) in whom sulfonylurea and metformin regimens failed. METHODS: Patients who were consecutively managed in the diabetes comprehensive program with add-on pioglitazone or detemir/glargine treatment for at least 2 years following sulfonylurea and metformin treatment failure were included. RESULTS: A total of 1002 patients were enrolled (pioglitazone: 559, detemir: 264, glargine: 179). After propensity score matching, there were 105 patients with matchable baseline characteristics in each group. After a mean of 3.5 years of follow-up, the pioglitazone group showed a greater HbA1c reduction than the detemir group and the glargine group. Despite patients in all three groups exhibiting significant body weight gain, those in the pioglitazone group and the glargine group showed greater body weight increases than the patients in the detemir group (2.1, 1.6 and 0.8 kg, respectively, p < 0.05). Interestingly, Cox regression analysis indicated that patients under detemir or glargine treatment had a higher probability of CKD progression as compared with the pioglitazone group, with hazard ratios of 2.63 (95% CI 1.79-3.88) and 3.13 (95% CI 2.01-4.87), respectively. CONCLUSIONS: Our study first showed that treatment with both pioglitazone and basal insulin improved glycemic control, while only pioglitazone treatment was observed to be advantageous in terms of preserving renal function when used as an add-on therapy for patients with type 2 DM in whom sulfonylurea and metformin regimens failed.