1.Association of time in range with metabolic associated fatty liver disease and liver fibrosis in patients with type 2 diabetes
Danyu WANG ; Kaikun LIU ; Xinru DENG ; Xiaoyang SHI ; Junpeng YANG ; Na XU ; Yaonan CHEN ; Huijuan YUAN
Chinese Journal of Endocrinology and Metabolism 2024;40(3):198-203
Objective:To investigate the association of time in range with metabolic associated fatty liver disease(MAFLD) and advanced liver fibrosis in patients with type 2 diabetes.Methods:This study was a retrospective study. A total of 494 type 2 diabetic patients were recruited in the Department of Endocrinololgy of Henan Provincial People′s Hospital from November 2019 to April 2022. Time in range(TIR) was calculated with continuous glucose monitoring data. Abdominal ultrasound scan was used to diagnose fatty liver. Liver stiffness measurement(LSM) by transient elastography was used to evaluate liver fibrosis. Pearson and multivariate linear regression analysis was used to evaluate the association between TIR and LSM. Multivariate logistic regression analysis was used to analyze the association of TIR with risk of MAFLD and advanced liver fibrosis.Results:Pearson correlation analysis showed that LSM was negatively correlated with TIR( r=-0.86, P<0.001) and was positively correlated with homeostasis model assessment for insulin resistance(HOMA-IR; r=0.48, P<0.001). After adjusting for confounding factors, multivariate linear regression analysis showed that TIR significantly negatively predicted LSM( β=-0.75, P<0.001), and HOMA-IR significantly positively predicted LSM( β=0.21, P=0.025). After adjusting for confounding factors, logistic regression analysis showed that compared with TIR Q4 patients, TIR Q1 patients had an increased risk of MAFLD( OR=1.96, 95% CI 1.07-3.62, P=0.027), advanced liver fibrosis( OR=3.82, 95% CI 1.17-12.50, P=0.027), and HOMA-IR was an independent risk factor for MAFLD( OR=1.22, 95% CI 1.04-1.43, P=0.005) and advanced liver fibrosis( OR=1.26, 95% CI 1.03-1.54, P=0.025). Conclusions:TIR and insulin resistance are independent risk factors for MAFLD and advanced liver fibrosis in patients with type 2 diabetes. TIR has a significant predictive value for MAFLD and advanced liver fibrosis.
2. Preliminary effect observation on the application of micro-negative pressure in children with small-area deep partial-thickness burn
Xiaopeng ZHENG ; Jue CHEN ; Tiansheng CHEN ; Yaonan JIANG ; Tuo SHEN ; Shichu XIAO ; Xiaoyan HU
Chinese Journal of Burns 2019;35(10):720-725
Objective:
To preliminarily observe the effects of application of micro-negative pressure in children with small-area deep partial-thickness burn.
Methods:
From January 2016 to August 2018, 64 children with small-area deep partial-thickness burn who were admitted to the Department of Burn Surgery of the First Affiliated Hospital of Naval Medical University were recruited in this prospective randomized controlled study. According to the random number table, they were divided into negative pressure group [18 boys and 14 girls, aged (3.9±1.6) years with total burn area of (5.5±2.2)% total body surface area (TBSA)] and conventional group [20 boys and 12 girls, aged (3.8±1.7) years with total burn area of (5.8±1.6)% TBSA], with 32 patients in each group. After admission, simple debridement was performed in the patients of 2 groups. After that, the children in negative pressure group were treated with micro-negative pressure with negative pressure material replaced every 3 to 5 days. Children in conventional group were treated with silver sulfadiazine cream with dressing change every other day. On post injury day (PID) 14 and 21, general wound observation was performed, the wound healing rate was calculated, the exudates from the wounds were cultured and the positive detection rate was calculated. The number of patients requiring surgical skin grafting was recorded and the rate of surgical skin grafting was calculated, and the complete wound healing time was recorded in the patients of 2 groups. Scar formation was evaluated by the Vancouver Scar Scale (VSS) in 3, 6, and 12 months after wound healing. Data were processed with chi-square test,