Objective. To explore the value of continuous nursing (CN) based on WeChat in improving healthy quality of life and self-management behavior of patients with diabetic nephropathy (DN). Methods. A total of 100 patients with DN who were treated in our hospital from November 2019 to January 2020 were selected. Thereinto, 54 patients who received CN based on WeChat were considered as the research group, and 46 patients who received the routine nursing intervention were considered as the control group. Peripheral blood samples were collected before nursing intervention (T0), 1 month after intervention (T1), and 2 months after intervention (T2) to test blood glucose, blood lipid, and renal function. Exercise of self-care agency (ESCA) scale and general self-efficacy scale (GSES) was conducted to evaluate patients’ self-management ability, and a short-form 36-item health survey (SF-36) was conducted to evaluate their quality of life. Finally, the treatment compliance and satisfaction of patients were investigated. Results. There was no marked difference in blood glucose, blood lipid, and renal function between groups at T0 ( P > 0.05 ), but the research group was better than the control group at T1 and T2 ( P < 0.05 ). After the nursing intervention, the scores of ESCA, GSES, and SF-36 in the research group were higher ( P < 0.05 ). In addition, the treatment compliance rate and satisfaction of the research group were also higher. Conclusion. CN based on WeChat can effectively improve the self-management behavior and quality of life of DN patients, which is extremely suitable for such chronic diseases with extremely long treatment cycles and can provide a more effective guarantee for their recovery.

Objective. The main objective is to study the effect of diabetic nephropathy on pulmonary function and clinical outcomes. Methods. The method is to retrospectively analyze patients with diabetic nephropathy (DN) in our hospital from April 2018 to March 2022 as study subjects. The differences in baseline data, serum indicators, renal function indicators, and pulmonary function of patients at different clinical stages were analyzed and then explored. Finally, logistic regression was used to analyze the risk factors affecting patients’ clinical outcomes and to evaluate the diagnostic effects. Results. Baseline information (age, disease duration, BMI, and systolic and diastolic blood pressure), serum indicators (HbA1c, FBG, 2hPG, TG, TC, and LDLC), renal function indicators (CysC, BUN, and Scr), and pulmonary function (TLC, VC, FEV1, FEV1/FVC, MVV, MEF25, MEF50 MEF75, DLCO, and DLCO/VA) were significantly different P < 0.01 ; multiple logistic regression analysis showed that SBP, HbA1c, FBG, 2hPG, BUN, Scr, TLC, VC, FEV1/FVC, MVV, DLCO, and DLCO/VA were all key factors in the development of clinical outcomes in DN P < 0.05 . ROC analysis showed that all of these important factors had an AUC greater than 0.75 for the diagnosis of DN with high sensitivity and specificity. Conclusion. Serum and renal function indices of DN patients gradually increased with stage, accompanied by a decrease in pulmonary ventilation, and diffusion function; SBP, HbA1c, FBG, 2hPG, BUN, Scr, TLC, VC, FEV1/FVC, MVV, DLCO, and DLCO/VA were all key factors affecting the clinical outcome of DN; controlling blood glucose, lipids, improving pulmonary ventilation, and diffusion function can better prevent the occurrence and worsening of DN.