Objective:To explore the predictive value of inflammatory factors and renal function indicators for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) and their risk factors.Methods:A total of 106 T2DM patients admitted to the General Hospital of PLA Northern Theater Command from March 2022 to February 2024 were prospectively selected. They were divided into the DR group (31 cases) and non-DR group (75 cases) according to the presence or absence of DR. Binary logistic regression analysis was used to screen the influencing factors of DR in T2DM patients, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of inflammatory factors and renal function indicators for DR in T2DM patients.Results:Univariate analysis showed that T2DM duration, smoking, hypertension, blood urea, serum creatinine, serum uric acid, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) were associated with DR in T2DM patients (all P<0.05). Multivariate logistic regression analysis showed that TNF-α, serum creatinine, serum uric acid, and T2DM duration were independent risk factors for DR in T2DM patients (all P<0.05), which could increase the risk by 1.724 times, 1.038 times, 1.026 times, and 4.904 times, respectively. ROC curve analysis showed that the areas under the curve (AUC) of TNF-α, serum creatinine, and serum uric acid for predicting DR in T2DM patients were 0.906, 0.842, and 0.809, respectively. Conclusions:TNF-α, serum creatinine, serum uric acid, and T2DM duration are independent risk factors for DR in T2DM patients. TNF-α, serum creatinine, and serum uric acid have good predictive value for DR in T2DM patients, and can be used as clinical predictive indicators to provide references for early identification of high-risk patients and formulation of DR prevention and treatment strategies.

Objective:To explore the predictive value of inflammatory factors and renal function indicators for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) and their risk factors.Methods:A total of 106 T2DM patients admitted to the General Hospital of PLA Northern Theater Command from March 2022 to February 2024 were prospectively selected. They were divided into the DR group (31 cases) and non-DR group (75 cases) according to the presence or absence of DR. Binary logistic regression analysis was used to screen the influencing factors of DR in T2DM patients, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of inflammatory factors and renal function indicators for DR in T2DM patients.Results:Univariate analysis showed that T2DM duration, smoking, hypertension, blood urea, serum creatinine, serum uric acid, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) were associated with DR in T2DM patients (all P<0.05). Multivariate logistic regression analysis showed that TNF-α, serum creatinine, serum uric acid, and T2DM duration were independent risk factors for DR in T2DM patients (all P<0.05), which could increase the risk by 1.724 times, 1.038 times, 1.026 times, and 4.904 times, respectively. ROC curve analysis showed that the areas under the curve (AUC) of TNF-α, serum creatinine, and serum uric acid for predicting DR in T2DM patients were 0.906, 0.842, and 0.809, respectively. Conclusions:TNF-α, serum creatinine, serum uric acid, and T2DM duration are independent risk factors for DR in T2DM patients. TNF-α, serum creatinine, and serum uric acid have good predictive value for DR in T2DM patients, and can be used as clinical predictive indicators to provide references for early identification of high-risk patients and formulation of DR prevention and treatment strategies.

OBJECTIVE： To discuss the severe liver function damage induced by antituberculostics.METHODS： The severe liver function damage induced by antituberculotis was analyzed in 50 patients admitted into this hospital from January 1995 to January 2000.RESULTS： Sever liver function damage was related to the following factors:(1)history of liver diseases;(2)aged patient and malnutritional patient;(3)chronic alcoholism;(4)combined use of isoniazid,rifampin with other drugs;(5)hepatic dysfunction before treatment.CONCLUSION： The abovementioned factors should be under consideration in choice of antituberculotics.