West China School of Nursing, Sichuan University/Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Engineering Research Center of Medical Information Technology, Ministry of Education, West China Hospital, Sichuan University, Chengdu, China.
Geriatr Gerontol Int. 2022 Jun;22(6):471-476. doi: 10.1111/ggi.14390. Epub 2022 Apr 29.
This study aimed to investigate the influencing factors of frailty in elderly patients with multimorbidity and to develop a predictive risk model for frailty in elderly patients with multimorbidity.
In total, 3836 elderly patients with multimorbidity who were admitted to the medical wards of five grade A tertiary hospitals in Sichuan Province from March 2020 to June 2021 were selected. Based on the general data of patients with multimorbidity, the independent risk factors for frailty were obtained using logistic analysis, and a risk prediction model of frailty was developed.
Independent risk factors for frailty in patients with multimorbidity were age, types of medication, and comorbidity with chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD) and chronic cerebrovascular disease (CCVD); and the protective factors for frailty were body mass index (BMI), exercise and education level. The expression of the model was Z = -2.054 + 0.016 × age - 0.029 × BMI - 0.153 × education level-1.059 × exercise + 0.203 × types of medication + 0.788 × comorbidity with CHF + 0.950 × comorbidity with COPD + 0.363 × comorbidity with CCVD.
Age, BMI, education level, exercise, types of medication, and comorbidity with CHF, COPD and CCVD can affect frailty risk in elderly patients with multimorbidity, which may be helpful to predict the frailty risk of elderly patients with multimorbidity. Geriatr Gerontol Int 2022; 22: 471-476.
本研究旨在探讨多病共存的老年患者衰弱的影响因素，并建立多病共存的老年患者衰弱预测风险模型。
共纳入 2020 年 3 月至 2021 年 6 月在四川省 5 家三甲医院内科病房住院的 3836 例多病共存的老年患者。基于患者的一般资料，采用 logistic 分析获得衰弱的独立危险因素，并建立衰弱风险预测模型。
多病共存患者衰弱的独立危险因素为年龄、用药种类和合并慢性心力衰竭（CHF）、慢性阻塞性肺疾病（COPD）和慢性脑血管疾病（CCVD）；衰弱的保护因素为体质指数（BMI）、运动和教育水平。模型的表达为 Z=-2.054+0.016×年龄-0.029×BMI-0.153×教育水平-1.059×运动+0.203×用药种类+0.788×合并 CHF+0.950×合并 COPD+0.363×合并 CCVD。
年龄、BMI、教育水平、运动、用药种类以及合并 CHF、COPD 和 CCVD 均可影响多病共存老年患者衰弱风险，可能有助于预测多病共存老年患者的衰弱风险。国际老年医学与老年学杂志 2022；22：471-476。
