This meta-analysis supports the hypothesis that intakes of fruit and vegetables may reduce the risk of bladder cancer. Future well-designed studies are required to confirm this finding.
Urine KIM-1 is the most potential biomarker for renal injury in preeclampsia. The more biomarkers combined, the more sensitivity and specificity were increased.
BackgroundThe clinical assessment of kidney function based on the estimated glomerular filtration rate (GFR) in older patients remains controversial. This study evaluated the concordance and feasibility of using various creatinine-based equations for estimating GFR in elderly Chinese patients with type 2 diabetes mellitus (T2DM).MethodsA cross-sectional analytical study was conducted in 21,723 older diabetic patients (≥60 years) based on electronic health records (EHR) for Minhang District, Shanghai, China. The concordance of chronic kidney disease (CKD) classification among different creatinine-based equations was assessed based on Kappa values, intraclass correlation coefficient (ICC) statistics, and the eGFR agreement between the equations was tested using Bland–Altman plots. The GFR was estimated using the Cockcroft–Gault (CG), Berlin Initiative Study 1 (BIS1), simplified Modification of Diet in Renal Disease (MDRD), MDRD modified for Chinese populations (mMDRD), chronic kidney disease epidemiology collaboration (CKD-EPI), CKD-EPI in Asians (CKD-EPI-Asia), and Ruijin equations.ResultsOverall, the proportion of CKD stages 3–5 (eGFR <60 mL/min/1.73 m2) was calculated as 28.9%, 39.1%, 11.8%, 8.4%, 14.3%, 11.5%, and 12.7% by the eGFRCG, eGFRBIS1, eGFRMDRD, eGFRmMDRD, eGFRCKD-EPI, eGFRCKD-EPI-Asia, and eGFRRuijin equations, respectively. The concordance of albuminuria and decreased eGFR based on the different equations was poor by both the Kappa (<0.2) and ICC (<0.4) statistics. The CKD-EPI-Asia equation resulted in excellent concordance with the CKD-EPI (ICC =0.931), MDRD (ICC =0.963), mMDRD (ICC =0.892), and Ruijin (ICC =0.956) equations for the classification of CKD stages, whereas the BIS1 equation exhibited good concordance with the CG equation (ICC =0.809). In addition, significant differences were observed for CKD stage 1 among all these equations.ConclusionAccurate GFR values are difficult to estimate using creatinine-based equations in older diabetic patients. Kidney function is complex, and the staff need to be aware of the individualized consideration of other risk factors or markers of reduced renal function in clinical practice.
This study is aimed at exploring the role of serum fibroblast growth factor-23 (FGF-23), matrix Gla (MGP) and Fetuin-A in the calcium-phosphate metabolism and estimate the value of serum FGF-23, MGP and Fetuin-A levels in predicting osteoporosis in maintenance hemodialysis (MHD) patients. This study included 64 patients who receive hemodialysis in our hospital. The serum FGF-23, MGP and Fetuin-A were analyzed by enzyme-linked immunosorbent assay (ELlSA). Bone mineral density (BMD) at the femoral neck was measured by dual-energy X-ray absorptiometry. The 64 patients (30 males, 34 females, 60.6 ± 11.3 years of age) received an average of 6.88 ± 2.94 years of dialysis. Body mass index (BMI), Kt/V, dialysis vintage, patient age, serum levels of FGF-23, Fetuin-A, bone isoenzyme of alkaline phosphatase (ALP-B), and calcium were different in statistical significance among the three groups of patients in terms of normal bone mass (N = 10), osteopenia (N = 24), or osteoporosis (N = 30). BMI, Kt/V, ALP-B, dialysis vintage and serum Fetuin-A level were identified as independent variables of femoral neck BMD by stepwise multiple regression analysis. The area under ROC curve showed that serum Fetuin-A was useful for identifying osteoporosis in MHD patients. The cutoff value corresponding to the highest Youden's index was serum Fetuin-A ≤ 89 μg/mL, which was defined as the optimal predictor of osteoporosis. Its sensitivity/specificity was 71%/77.8%. The incidence of osteoporosis is high in MHD patients. Serum Fetuin-A level is closely correlated with osteoporosis and it may serve as a predictor of osteoporosis.
This study was aimed to explore the role of serum fibroblast growth factor (FGF)-23, matrix Gla protein (MGP) and fetuin-A in the calcium-phosphate metabolism and their predicting value in coronary artery calcification in maintenance hemodialysis (MHD) patients. This study included 64 patients who receive hemodialysis in our hospital. The serum FGF-23, MGP and fetuin-A were analyzed by enzyme-linked immunosorbent assay (ELlSA). Coronary artery calcification score (CACS) was evaluated by coronary artery computed tomography scan. The 64 patients (30 males, 34 females, 60.6 ± 11.3 years of age) received an average dialysis vintage of 6.88 ± 2.94 years. We divided the CACS into three levels, and 13 (20.31%), 16 (25%), and 35 (54.69%) exhibited a CACS of 0-100, 100-400, and >400, respectively. Dialysis vintage, serum FGF-23, fetuin-A, phosphorus and high-density lipoprotein-C levels were identified as independent variables of CACS by stepwise multiple regression analysis. The area under receiver operating characteristic curve indicated that serum FGF-23 and fetuin-A were useful for identifying CAC in MHD patients. The cut-off value corresponding to the highest Youden's index was serum FGF-23 ≥ 256 pg/mL and fetuin-A ≤ 85 μg/mL, which was defined as the optimal predictors of CAC. Different combinations of serum FGF-23 and fetuin-A in parallel or in series effectively boosted the identification of CAC. The incidence of CAC is high in MHD patients. Serum FGF-23 and fetuin-A levels are closely correlated with CAC.
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