背景:中风是获得性残疾的主要原因,也是全球第二大死亡原因。它的发病率,残疾,死亡率,复发率很高,患者会出现各种不适症状,这不仅会影响他们的康复功能,还会降低他们进行日常活动的能力和生活质量。如今,随着我国医疗水平的提高,患者越来越关注他们的生活质量和健康状况。然而,中风患者的诊断技术和有效治疗仍然有限,但迫切需要。
目的:本研究旨在使用卒中患者报告结局(PROs)量表评估住院期间的生活质量,并识别可能影响复发事件的潜在因素和风险指标。促进早期干预措施。
方法:这是基于注册表的,脑卒中患者的回顾性观察性横断面研究.采用方便的抽样方法选择患者的各项指标。然后使用卒中-PRO量表评估患者的身体状况,心理,社会,和治疗领域。多元线性回归分析用于确定影响卒中PRO的因素,同时进行相关性分析以探讨这些结局与血脂水平之间的关系。
结果:本研究中的平均卒中-PRO评分为4.09(SD0.29)分。通过多元线性回归分析,residence,职业,体育锻炼,Barthel指数,布雷登规模,美国国立卫生研究院入院时卒中量表评分,和卒中类型是卒中患者报告结局的危险因素(P<0.05)。相关性分析显示,血清甘油三酯,总胆固醇,低密度脂蛋白与卒中患者的卒中-PRO评分呈负相关(P<0.05)。而高密度脂蛋白与脑卒中患者呈正相关(P<0.05)。甘油三酯的95%CI为-0.31至-0.03,高密度脂蛋白为0.17-0.44,-0.29到-0.01的胆固醇,低密度脂蛋白为-0.30至-0.02,血糖为-0.12至0.16。
结论:中风患者的健康水平较低,他们报告的结果需要改进。因此,护理人员应关注脑卒中患者的生活质量和血脂指标,积极评估他们的实际健康状况,并采取早期干预措施促进其康复。
BACKGROUND: Stroke is the leading cause of acquired disability and the second leading cause of death worldwide. Its rate of incidence, disability, mortality, and recurrence is high, and the patients experience various symptoms of discomfort, which not only affect their rehabilitation function but also reduce their ability to perform daily activities and their quality of life. Nowadays, with the improvement of China\'s medical standards, patients are increasingly attentive to their quality of life and health status. However, diagnostic techniques and effective treatments for patients with stroke are still limited but urgently required.
OBJECTIVE: This
study aimed to evaluate the quality of life during hospitalization using a stroke patient-reported outcomes (PROs) scale and additionally to recognize potential factors and risk indicators that may impact recurrent events, facilitating early intervention measures.
METHODS: This is a registry-based, retrospective observational cross-sectional
study on patients with stroke. A convenient sampling method was used to select various indicators of patients. The Stroke-PRO scale was then used to assess patients\' conditions across physical, psychological, social, and therapeutic domains. Multiple linear regression analysis was applied to identify factors influencing stroke PROs, while correlation analysis was conducted to explore the relationship between these outcomes and blood lipid levels.
RESULTS: The mean Stroke-PRO score in this
study was 4.09 (SD 0.29) points. By multiple linear regression analysis, residence, occupation, physical exercise, Barthel index, Braden scale, National Institutes of Health Stroke Scale scores at admission, and stroke type were the risk factors for reported outcomes of patients with stroke (P<.05). Correlation analysis showed that serum triglyceride, total cholesterol, and low-density lipoprotein were negatively correlated with Stroke-PRO scores in patients with stroke (P<.05), while high-density lipoprotein was positively correlated with patients with stroke (P<.05). The 95% CI was -0.31 to -0.03 for triglyceride, 0.17-0.44 for high-density lipoprotein, -0.29 to -0.01 for cholesterol, -0.30 to -0.02 for low-density lipoprotein, and -0.12 to 0.16 for blood glucose.
CONCLUSIONS: Patients with stroke have a low level of health, and their reported outcomes need to be improved. Accordingly, nursing staff should pay attention to the quality of life and blood lipid indexes of patients with stroke, actively assess their actual health status, and take early intervention measures to promote their recovery.