Characteristics and influencing factors of post-intensive care syndrome in elderly patients during the transitional period
10.3760/cma.j.cn115682-20231229-02888
- VernacularTitle:老年患者过渡期ICU后综合征症状特征及影响因素的分析
- Author:
Lina HA
1
;
Yu SHENG
;
Yanling SHEN
;
Ying ZHAO
;
Hui ZHANG
;
Zhen LI
;
Guangnan LIU
Author Information
1. 中国医学科学院北京协和医学院护理学院，北京 100144
- Keywords:
Intensive Care Unit;
Post-intensive care syndrome;
Transitional period;
Elderly patients;
Influencing factor
- From:
Chinese Journal of Modern Nursing
2024;30(16):2174-2179
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the current situation and characteristics of post-intensive care syndrome in elderly patients during the transitional period, and explore its influencing factors.Methods:From December 2022 to September 2023, convenience sampling was used to select 119 elderly patients in the Intensive Care Unit of China-Japan Friendship Hospital as the research subject. The General Information Questionnaire, Short Physical Performance Battery, Fatigue Scale-14, Barthel Index, Hospital Anxiety and Depression Scale, and Mini-mental State Examination were used to evaluate patients for post-intensive care syndrome from cognitive, psychological, and physiological aspects 7 days after their transfer from the Intensive Care Unit. Binomial Logistic regression was used to analyze the influencing factors of post-intensive care syndrome in elderly patients.Results:Among 119 elderly patients, 84 developed post-intensive care syndrome, with an incidence of 70.6%. The binomial Logistic regression showed that women and high nutritional risk were risk factors for the occurrence of post-intensive care syndrome in elderly patients ( P<0.05) . Conclusions:The incidence of post-intensive care syndrome is high in elderly patients during the transition period, with females and patients with high nutritional risk being prone to developing post-intensive care syndrome. Medical and nursing staff should pay attention to identifying gender differences, focus on high-risk populations, and dynamically evaluate different symptoms early on to provide precise interventions for elderly patients.
