【摘要】 目的 總結酒精依賴患者的護理特點和經驗。 方法 2008年1月-2009年10月，對收治的60例酒精依賴患者，依據其臨床特點采取針對性的護理措施，重點加強心理護理。 結果 60例患者癥狀明顯改善，痊愈40例，無并發癥發生。 結論 在藥物治療的基礎上，配合施行各項有效的護理措施，特別是心理護理，可幫助患者減輕對酒品的依賴程度，恢復健康和正常生活。【Abstract】 Objective To summarize the characteristics and experiences of nursing for patients with alcohol dependence. Method From January 2008 to October 2009, 60 patients with alcohol dependence were admitted to our department. According to the clinical characteristics of those patients, corresponding nursing measures were applied. Mental nursing was enhanced. Results The symptoms of 60 inpatients were obviously improved without complications. The evaluation of treatment showed that 40 patients were cured. Conclusion On the base of medicine treatment, patients can lower their alcohol dependence and go back to normal life by effective measures of nursing, especially mental nursing.
Objective To analyze the influencing factors of anxiety in adults with obstructive sleep apnea (OSA), establish and validate a nomgram model for predicting the risk of anxiety in OSA patients. Methods From January 2022 to December 2024, a total of 461 OSA patients diagnosed at the Second People's Hospital of Yibin were collected and divided into a model group (345 cases) and an internal validation group (116 cases) according to a 3:1 ratio. The model group was divided into an anxiety group and a non-anxiety group based on the Hamilton Anxiety Scale (HAMA) score of 7. Univariate and multivariate analyses were conducted to identify the influencing factors of anxiety in OSA patients. A nomogram model was established by R language. The discriminant, calibration, and net benefit of the model were validated by area under receiver operating characteristic curve (AUC), Hosmer-Lemeshow test, and decision curve analysis (DCA). ResultsThe incidence of anxiety in 461 OSA patients was 45.77%, and there were statistically significant differences (P<0.05) in 17 factors including body mass index (BMI) between the anxiety group and the non-anxiety group. Lasso regression identified 8 meaningful variables, and logistic regression found that BMI, the Epworth sleeping scale (ESS) score, medical insurance type, pooled hypertension and 5-hydroxytryptamine (5-HT) were influencing factors of anxiety in the OSA patients, with OR values (95%CI) of 0.673 (0.562-0.806), 0.801 (0.754-0.851), 0.377 (0.237-0.597), 0.363 (0.150-0.874) and 0.708 (0.575-0.872), respectively. The nomogram model based on these indicators has good discrimination, calibration, and net profit in the model group, internal validation group, and external validation group, with AUC of 0.893, 0.894, and 0.792, sensitivity of 0.902, 0.857 and 0.832, specificity of 0.830, 0.809 and 0.795, respectively. The maximum offsets of the model group, internal validation group, and external validation group were 0.049, 0.026, and 0.025, respectively (P=0.917, 0.881, and 0.823, respectively). The model group had a higher net profit at the low to medium risk threshold (0-0.7). Conclusions BMI, ESS, medical insurance type, pooled hypertension, OSA-18 score, 5-HT concentration are the influencing factors of anxiety in OSA patients. The nomogram model based on these indicators can effectively predict the risk of anxiety in OSA patients.