Lin Qinger, Dong Xiaohang, Huang Tianrong, Zhou Hongzhen
Department of Nursing, Nanfang Hospital, Southern Medical University, Guangzhou, China.
School of Nursing, Southern Medical University, Guangzhou, China.
Front Neurol. 2024 May 20;15:1374477. doi: 10.3389/fneur.2024.1374477. eCollection 2024.
Stroke is the leading cause of death in China. Older stroke survivors often have other chronic conditions, not only musculoskeletal deterioration due to age, but also changes in body image that can be brought on by stroke and other diseases, making them unable to take good care of themselves and dependent on others. The degree of dependency affects the rehabilitation progress of stroke survivors and shows dynamic changes that need to be recognized.
This study investigates the trajectory of dependency changes in older stroke patients with comorbidities and analyze the influencing factors.
Grounded in the Chronic Illness Trajectory Framework (CITF), a longitudinal study was conducted from February 2023 to October 2023, tracking 312 older stroke patients with comorbidities admitted to two tertiary hospitals in Guangzhou. Care dependency levels were assessed using Care Dependency Scale on admission day 5 (T0), at discharge (T1), 1 month post-discharge (T2), and 3 months post-discharge (T3). Growth Mixture Model were utilized to identify trajectory categories, and both univariate analysis and multivariate logistic regression methods were employed to explore factors associated with different developmental trajectories.
A total of four developmental trajectories were fitted, C1 (high independence-slow increased group, 52.0%), C2 (moderate independence-rapid increased group, 13.0%), C3 (moderate independence-slow increased group, 25.0%), and C4 (low independence-increased and decreased group, 10.0%). Length of hospital stay, place of residence, level of social support, residual functional impairments, NIHSS score, and BI index independently influence the trajectory categories.
There is heterogeneity in care dependency among older stroke patients with comorbidities. Most patients gradually reduce their dependency and become more independent, but others remain dependent for an extended period of time. It is recommended to focus on patients who live in rural areas, have low social support, have high admission NIHSS scores and have residual functional impairment, and provide them with personalized continuity of care and rehabilitation services in order to reduce care dependency and the burden of care, and to improve patients' quality of life.
中风是中国的主要死因。老年中风幸存者往往还患有其他慢性疾病,不仅有因年龄导致的肌肉骨骼退化,还有中风和其他疾病可能带来的身体形象变化,这使得他们无法很好地照顾自己,依赖他人。依赖程度影响中风幸存者的康复进程,且呈现出动态变化,需要加以认识。
本研究调查老年合并症中风患者依赖变化的轨迹,并分析影响因素。
基于慢性病轨迹框架(CITF),于2023年2月至2023年10月进行了一项纵向研究,追踪广州两家三级医院收治的312例老年合并症中风患者。在入院第5天(T0)、出院时(T1)、出院后1个月(T2)和出院后3个月(T3)使用护理依赖量表评估护理依赖水平。采用生长混合模型识别轨迹类别,并运用单因素分析和多因素逻辑回归方法探索与不同发展轨迹相关的因素。
共拟合出四条发展轨迹,C1(高独立性 - 缓慢增加组,52.0%)、C2(中度独立性 - 快速增加组,13.0%)、C3(中度独立性 - 缓慢增加组,25.0%)和C4(低独立性 - 增减波动组,10.0%)。住院时间、居住地点、社会支持水平、残余功能障碍、美国国立卫生研究院卒中量表(NIHSS)评分和巴氏指数(BI)独立影响轨迹类别。
老年合并症中风患者的护理依赖存在异质性。大多数患者逐渐减少依赖并变得更加独立,但其他患者会在较长时间内保持依赖。建议关注居住在农村地区、社会支持低、入院NIHSS评分高且有残余功能障碍的患者,为他们提供个性化的连续性护理和康复服务,以降低护理依赖和护理负担,提高患者生活质量。