【摘要】 目的 对脑梗死患者施行静脉溶栓治疗前后的相关状况和指标进行评价分析。 方法 2003年1月-2010年11月对神经内科收治的29例脑梗死患者予以静脉溶栓治疗及护理，并就治疗前后各相关时间点血压监测及美国国立卫生研究院卒中量表（National Institute of Health stroke scale，NIHSS）评分情况进行分析。 结果 溶栓前后血压对比显示:溶栓后2 h收缩压相对于溶栓前和溶栓后24 h升高（Plt;0.05）；溶栓前后NIHSS评分差异有统计学意义（Plt;0.05）。 结论 溶栓后患者收缩压出现升高，护理上应该加强血压监控，为临床治疗提供支持。【Abstract】 Objective To investigate the correlated condition and clinical index changes before and after the intravenous thrombolysis of the cerebral infarction patients. Methods The blood pressure and the National Institutes of Health stroke scale (NIHSS) score of 29 cerebral infarction patients with the intravenous thrombolysis treatment between January 2003 and November 2010 were measured and analyzed. Results Two hours after the thrombolysis, the systolic blood pressure significantly increased compared with those before the intravenous thrombolysis and 24 hours after intravenous thrombolysis （P＜0.05）. NIHSS score was significantly decreased after the thrombolysis （P＜0.05）. Conclusions Systolic blood pressure significantly increases after the intravenous thrombolysis. Intensive blood pressure monitoring and controlling may be beneficial to the treatment and prognosis.
Objective To explore the current situation and influencing factors of self-management behavior in patients with primary glaucoma, so as to provide a theoretical basis for formulating intervention strategies to improve patients’ self-management ability. Methods Using convenient sampling method, 400 patients with primary glaucoma visiting the Outpatient Department of Ophthalmology, West China Hospital of Sichuan University between September 2019 and March 2020 were selected. Their current situation of self-management behavior was investigated by self-management behavior questionnaire, and the influencing factors of self-management behavior were analyzed. Results A total of 381 valid questionnaires were recovered. The total score of self-management behavior of patients with primary glaucoma was 51.11±6.22, and the mean scores of life debugging dimension, functional health care dimension, and medical management dimension were 2.66±0.67, 3.02±0.81, and 3.13±0.60, respectively. The results of multiple linear regression analysis showed that age [40-59 vs. <40 years old: unstandardized partial regression coefficient (b)=–2.830, 95% confidence interval (CI) (–4.813, –0.847), P=0.005; ≥60 vs. <40 years old: b=–2.660, 95%CI (–4.820, –0.498), P=0.016], occupation [in-service vs. farmers: b=2.639, 95%CI (0.303, 4.976), P=0.027; unemployed or retired vs. farmers: b=2.913, 95%CI (0.995, 4.831), P=0.003], smoking [smoking vs. non-smoking: b=–3.135, 95%CI (–5.196, –1.075), P=0.003], disease type [primary open-angle glaucoma vs. primary angle-closure glaucoma: b=–2.119, 95%CI (–3.317, –0.921), P=0.001], number of follow-up visits [≤2 vs. >2: b=–1.071, 95%CI (–2.118, –0.024), P=0.045], whether fixed doctor follow-up [unfixed vs. fixed: b=–2.619, 95%CI (–3.632, –1.605), P<0.001] were correlated with the total score of self-management behavior of patients with primary glaucoma. Conclusions The self-management behavior of patients with primary glaucoma is in the middle level. The main factors affecting the self-management behavior level of primary glaucoma patients include age, occupation, smoking, disease type, follow-up times, and fixed doctor’s follow-up. Ophthalmologists should pay attention to the current situation and influencing factors of self-management behavior and take feasible intervention measures to improve the self-management behavior of patients with primary glaucoma.