Risk Factors of Cognitive Frailty in Hospitalized Older Patients with Comorbidities and Its Implication for Patient Outcomes

Background Cognitive frailty is a cognitive impairment state between normal aging and dementia. Cognitive frailty is associated with higher possibility of negative clinical events than simple frailty or cognitive impairment in older people. As cognitive frailty could be reversible toa certain degree, early identification of high-risk groups and timely intervention are particularly important in reducing adverse prognoses and improving the quality of life of elderly patients in their later years. Objective To investigate the prevalence and influencing factors of cognitive frailty, and its relationship with two-year post-discharge mortality in hospitalized elderly patients with comorbidities. Methods The data were collected from part of the project "Research and Demonstration of Clinical Management and Community-based Continuing Care Models for Older People with Comorbidities", involving a cluster sample of older inpatients with comorbidity aged≥60 years recruited from Department of Gerontology, Chengdu Fifth People's Hospital from November 2015 to January 2018. Demographics, chronic disease prevalence, and comprehensive geriatric assessment results were collected. Cognitive frailty was assessed by the FRAIL scale and Mini-Mental State Examination. Binary Logistic regression was used to analyze the influencing factors of cognitive frailty. The survival status was investigated at the end of a two-year follow-up after discharge. Cox regression was used to analyze the relationship of cognitive frailty with two-year post-discharge mortality. Results A total of 554 cases were included, and 15.9% (88/554) of them had cognitive frailty. Compared with non-cognitive frailty group, cognitive frailty group had older average age, lower prevalence of high school education or above, lower average family care score, higher prevalence of malnutrition, depression, dependence in activities of daily living and balance dysfunction (P<0.05) . Binary Logistic regression analysis showed that malnutrition, balance dysfunction, and family care disorder were independent factors of cognitive frailty. During the follow-up period, 456 patients (82.3%) survived, 81 (14.6%) died, and 17 (3.1%) were lost to follow-up. After controlling for confounding factors, Cox regression analysis indicated that, the risk of two-year post-discharge mortality in cognitive frailty group was 2.039〔95%CI (1.060, 3.922) 〕times higher than that of those with normal cognitive function and non-frailty, and was 5.266〔95%CI (3.159, 8.778) 〕times higher than that of those with simple cognitive frailty (P<0.05) . Conclusion Cognitive frailty is common among elderly inpatients with comorbid conditions, and it can increase the relative risk of two-year post-discharge mortality. Clinical medical workers should pay more attention to this group to identify high-risk individuals of cognitive frailty as soon as possible and give them preventive interventionsin time..

Medienart:	E-Artikel

Erscheinungsjahr:	2022
Erschienen:	2022

Enthalten in:	Zur Gesamtaufnahme - volume:25
Enthalten in:	Zhongguo quanke yixue - 25(2022), 31, Seite 3877-3883

Sprache:	Chinesisch

Beteiligte Personen:	YAN Xuedan, CHEN Shanping, ZHOU Lihua, WANG Lingxiao, YANG Yongxue, REN Yan [VerfasserIn]

Links:	doi.org [kostenfrei] doaj.org [kostenfrei] www.chinagp.net [kostenfrei] Journal toc [kostenfrei]

Themen:	Aged|multiple chronic conditions|inpatients|cognitive frailty|root cause analysis|prognosis Medicine R

doi:	10.12114/j.issn.1007-9572.2022.0154

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	DOAJ09150192X