Perirenal fat is adjacent to kidneys and active in metabolism and adipokine secretion. We aimed to investigate whether perirenal fat is an independent predictor for chronic kidney disease (CKD) and compared it with total, subcutaneous, or visceral fat in patients with diabetes. Perirenal fat thickness (PRFT) was measured by computed tomography, and total body fat (TBF), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT) were assessed by DEXA. In cross-sectional analysis, patients with higher PRFT had a lower estimated glomerular filtration rate (eGFR). Multiple linear regression analysis showed a negative correlation between PRFT and eGFR after confounders adjustment. No association between eGFR and TBF, SAT, or VAT was observed. Longitudinally, 190 patients with type 2 diabetes mellitus (T2DM) without CKD at baseline were followed for 2 years. A total of 29 participants developed CKD. After VAT-based multivariate adjustment, each SD (per-SD) increment in baseline PRFT was associated with a higher incidence of CKD (hazard ratio 1.67, 95% CI 1.04–2.68), while TBF, SAT, and VAT were not. Furthermore, PRFT predicted CKD, with a C-statistic (95% CI) of 0.668 (0.562, 0.774), which was higher than that of TPF [0.535 (0.433, 0.637)], SAT [0.526 (0.434, 0.618)], and VAT [0.602 (0.506, 0.698)]. In conclusion, with perirenal fat there was a higher predictive value for CKD than with total, subcutaneous, or visceral fat in T2DM.

The Chinese visceral adiposity index (CVAI) is a recently developed indicator of visceral adiposity. We investigated the predictive value of the CVAI for the development of dysglycemia (pre-diabetes and type 2 diabetes) and compared its predictive power with that of the Visceral adiposity index (VAI) and various anthropometric indices. This community-based study included 2,383 participants. We assessed the predictive power of adiposity indices by performing univariate and multivariate binary logistic regression analysis and calculating the area under the receiver-operating characteristic (ROC) curve according to their quartiles. Logistic regression analysis showed that individuals in higher CVAI quartiles at baseline were more likely to develop dysglycemia than those in lower CVAI quartiles. The area under the ROC curve for CVAI was significantly higher than that of other adiposity indices. In addition, among the various adiposity indices tested, the CVAI had the greatest Youden index for identifying dysglycemia in both genders. Our data demonstrate that the CVAI is a better predictor of type 2 diabetes and pre-diabetes than the VAI, BMI, waist circumference, waist-to-hip ratio and waist-to-height ratio in Chinese adults.

Background: Diabetic kidney disease (DKD) lacks a simple and relatively accurate predictor. The Triglyceride–Glucose (TyG) Index is a proxy of insulin resistance, but the association between the TyG Index and DKD is less certain. We investigated if the TyG Index can predict DKD onset effectively. Materials and Methods: Cross-sectional and longitudinal analyses were undertaken. In total, 1432 type-2 diabetes mellitus (T2DM) patients were included in the cross-sectional analysis. The TyG Index (calculated by ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]) was split into three tertiles. Associations of the TyG Index with microalbuminuria and estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m² were calculated. Longitudinally, 424 patients without DKD at baseline were followed up for 21 (range, 12– 24) months. The main outcome was DKD prevalence as defined with eGFR < 60 mL/min/1.73 m² or continuously increased urinary microalbuminuria: creatinine ratio (> 30 mg/mL) over 3 months. Cox regression was used to analyze the association between the TyG Index at baseline and DKD. Receiver operating characteristics curve (ROC) analysis was used to assess the sensitivity and specificity of the TyG Index in predicting DKD. Results: In cross-sectional analysis, patients with a higher TyG Index had a higher risk of microalbuminuria (OR = 2.342, 95% CI = 1.744– 3.144, p < 0.001), and eGFR < 60 mL/min/1.73 m² (1.696, 95% CI =1.096– 2.625, p = 0.018). Longitudinally, 94 of 424 participants developed DKD. After confounder adjustment, patients in the high tertile of the TyG Index at baseline had a greater risk to developing DKD than those in the low tertile (HR = 1.727, 95% CI = 1.042– 2.863, p = 0.034). The area under the ROC curve was 0.69 (0.63– 0.76). Conclusion: The TyG Index is a potential predictor for DKD in T2DM patients. Clinical Trial: Clinical Trials identification number = NCT03692884.

Aim. This retrospective study is aimed at investigating whether aldosterone-renin ratio (ARR) cutoffs calculated by the plasma aldosterone concentration (PAC)/plasma renin concentration (PRC) should be set differently in patients of different ages. Methods. 521 hypertensive patients were screened for primary aldosteronism (PA) by the PAC/PRC. 174 patients diagnosed with PA and 311 patients with essential hypertension (EH) were included in the final analysis. Subjects were subdivided into four age groups: <40, 40–49, 50–59, and ≥60 years old. Results. The accuracy of the ARR varied greatly among the different age groups. An ARR of 3.7 (ng/dl)/(μIU/ml) had a sensitivity of 100% and a specificity of 80% in patients ≥ 60 years old. With this cutoff, the sensitivities in patients < 40, 40–49, and 50–59 years old were 74%, 82%, and 87%, respectively, and the specificities were 94%, 95%, and 94%, respectively. To achieve a sensitivity higher than 90%, the ARR cutoff needed to be lowered to 2.0 (ng/dl)/(μIU/ml) for patients 40–49 and 50–59 years old, resulting in sensitivities of 90% and 95%, respectively, and specificities of 80% and 84%, respectively. To achieve a sensitivity higher than 90%, the ARR cutoff needed to be lowered to 1.0 (ng/dl)/(μIU/ml) for patients < 40 years old, resulting in a sensitivity of 90% and a specificity of 82%. Conclusions. An ARR of 3.7 (ng/dl)/(μIU/ml) is optimal for patients ≥ 60 years; for patients 40–59 years, the optimal ARR cutoff is 2.0; for those younger than 40 years, an ARR of 1.0 may be more reasonable.

This systematic review and meta-analysis was performed to compare the influence of different calibrating bougie sizes on clinical outcomes in laparoscopic sleeve gastrectomy (LSG) for patients with obesity. A systematic review of the literature was performed using the key words: "laparoscopic sleeve gastrectomy", "bougie size", "calibration", "obesity", and "obese" for searches of electronic databases up to October 2017. Clinical characteristics such as, the percentage of excess weight loss (%EWL), overall complications, gastrointestinal leaks, gastroesophageal reflux disease (GERD) were pooled by meta-analysis. Stata 12.0 (Stata Corp, College Station, TX, USA) was used to perform the meta-analysis. Data were extracted from 11 original studies matching our inclusion criteria. In our review, the group of patients who had operations with thinner bougies had a greater %EWL (SMD 0.23, 95% CI 0.14-0.33, P < .001) than the group where larger diameters were used. Furthermore, no significant differences were found in the incidence of overall complications (OR 1.00, 95% CI 0.73-1.37, P = .978), postoperative gastrointestinal leaks (OR 0.91, 95% CI 0.67-1.24, P = .554), and GERD (OR 0.77, 95% CI 0.37-1.59, P = .476) between the two groups. A robust result could not be made about remission of comorbidities using differing diameter bougies due to insufficient data. Use of thinner diameter bougies in LSG was more effective in enabling weight loss and did not increase the risk of overall complications, gastrointestinal leaks or GERD compared with larger diameter bougies.