Predicting non-elective hospital readmission or death using a composite assessment of cognitive and physical frailty in elderly inpatients with cardiovascular disease.


Journal

BMC geriatrics
ISSN: 1471-2318
Titre abrégé: BMC Geriatr
Pays: England
ID NLM: 100968548

Informations de publication

Date de publication:
22 06 2020
Historique:
received: 31 12 2019
accepted: 08 06 2020
entrez: 24 6 2020
pubmed: 24 6 2020
medline: 22 12 2020
Statut: epublish

Résumé

We aimed to assess the utility of the combination of the mini-mental state examination (MMSE) + clock drawing test (CDT) and the Fried phenotype for predicting non-elective hospital readmission or death within 6 months in elderly inpatients with cardiovascular disease (CVD). A single-center prospective cohort was conducted from September 2018 to February 2019. Inpatients ≥65 years old were recruited. Predictive validity was tested using a Cox proportional hazards regression model analysis, and the discriminative ability was evaluated by the receiver operating characteristic (ROC) curve. A total of 542 patients were included. Overall, 12% (64/542) screened positive for cognitive impairment, 16% (86/542) were physically frail and 8% (44/542) had cognitive impairment combined with physical frailty, showing an older age (P < 0.001) and a lower education level (P < 0.001) than physically frail patients. A total of 113 patients (20.9%) died or were readmitted at 6 months. Frail participants with a normal (hazard ratio [HR]: 1.73, 95% confidence interval [CI]: 1.06-2.82, P = 0.028) or impaired cognition (HR: 2.50, 95% CI: 1.27-4.91, P = 0.008) had a higher risk of non-elective hospital readmission or death than robust patients after adjusting for the age, sex, education level, marital status, the presence of diabetes mellitus, heart failure, and history of stroke. The area under the ROC curve (AUC) showed that the discriminative ability in relation to 6 months readmission and death for the MMSE + CDT + Fried phenotype was 0.65 (95% CI: 0.60-0.71), and the AUC for men was 0.71 (95% CI: 0.63-0.78), while that for women was 0.60 (95% CI: 0.51-0.69). Accounting for cognitive impairment in the frailty phenotype may allow for the better prediction of non-elective hospital readmission or death in elderly inpatients with CVD in the short term. ChiCTR1800017204; date of registration: 07/18/2018.

Sections du résumé

BACKGROUND
We aimed to assess the utility of the combination of the mini-mental state examination (MMSE) + clock drawing test (CDT) and the Fried phenotype for predicting non-elective hospital readmission or death within 6 months in elderly inpatients with cardiovascular disease (CVD).
METHODS
A single-center prospective cohort was conducted from September 2018 to February 2019. Inpatients ≥65 years old were recruited. Predictive validity was tested using a Cox proportional hazards regression model analysis, and the discriminative ability was evaluated by the receiver operating characteristic (ROC) curve.
RESULTS
A total of 542 patients were included. Overall, 12% (64/542) screened positive for cognitive impairment, 16% (86/542) were physically frail and 8% (44/542) had cognitive impairment combined with physical frailty, showing an older age (P < 0.001) and a lower education level (P < 0.001) than physically frail patients. A total of 113 patients (20.9%) died or were readmitted at 6 months. Frail participants with a normal (hazard ratio [HR]: 1.73, 95% confidence interval [CI]: 1.06-2.82, P = 0.028) or impaired cognition (HR: 2.50, 95% CI: 1.27-4.91, P = 0.008) had a higher risk of non-elective hospital readmission or death than robust patients after adjusting for the age, sex, education level, marital status, the presence of diabetes mellitus, heart failure, and history of stroke. The area under the ROC curve (AUC) showed that the discriminative ability in relation to 6 months readmission and death for the MMSE + CDT + Fried phenotype was 0.65 (95% CI: 0.60-0.71), and the AUC for men was 0.71 (95% CI: 0.63-0.78), while that for women was 0.60 (95% CI: 0.51-0.69).
CONCLUSIONS
Accounting for cognitive impairment in the frailty phenotype may allow for the better prediction of non-elective hospital readmission or death in elderly inpatients with CVD in the short term.
TRIAL REGISTRATION
ChiCTR1800017204; date of registration: 07/18/2018.

Identifiants

pubmed: 32571237
doi: 10.1186/s12877-020-01606-8
pii: 10.1186/s12877-020-01606-8
pmc: PMC7309999
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

218

Subventions

Organisme : Beijing Municipal Science &amp; Technology Commission
ID : D181100000218003
Pays : International
Organisme : CAMS Innovation Fund for Medical Sciences
ID : 2018-I2M-1-002
Pays : International
Organisme : Chinese Academy of Medical Sciences
ID : 2019PT320013
Pays : International

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Auteurs

Si-Min Yao (SM)

Peking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.

Pei-Pei Zheng (PP)

Peking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.

Yao-Dan Liang (YD)

Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.

Yu-Hao Wan (YH)

Peking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.

Ning Sun (N)

Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.

Yao Luo (Y)

Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.

Jie-Fu Yang (JF)

Peking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China. yangjiefu2011@126.com.
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China. yangjiefu2011@126.com.

Hua Wang (H)

Peking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China. wh74220@aliyun.com.
Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China. wh74220@aliyun.com.

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