Evidence map›Paper›PMID 32571237›Full record

ArticleBMC geriatrics2020

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

Si-Min Yao, Pei-Pei Zheng, Yao-Dan Liang, Yu-Hao Wan, Ning Sun, Yao Luo, Jie-Fu Yang, Hua Wang

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Observational
  8. Article
  9. Current Trends in Readmission Prediction: An Overview of Approaches.Arabian journal for science and engineering · 2021
    Article
  10. Review
  11. Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Si-Min YaoPeking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Pei-Pei ZhengPeking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Yao-Dan LiangDepartment 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 WanPeking University Fifth School of Clinical Medicine, P. R. China. No. 1, DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
Ning SunDepartment 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 LuoDepartment 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 YangPeking 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.
Hua WangPeking 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.ORCID 0000-0002-1643-4108
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Beijing Municipal Science & Technology Commission D181100000218003CAMS Innovation Fund for Medical Sciences 2018-I2M-1-002Chinese Academy of Medical Sciences 2019PT320013
6 · The paper itself

Abstract

backgroundWe 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).

methodsA 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.

resultsA 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).

conclusionsAccounting 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 registrationChiCTR1800017204; date of registration: 07/18/2018.

Indexed as

Cardiovascular DiseasesFrailtyAgedCognitionFemaleFrail ElderlyGeriatric AssessmentHumansInpatientsMalePatient ReadmissionProspective StudiesCardiovascular diseasesCognitive impairmentElderly inpatientsFrailtyNon-elective hospital readmission

Identifiers

PMID32571237
PMCPMC7309999
OpenAlexW3036937801

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.