Evidence map›Paper›PMID 38368398›Full record

ArticleBMC public health2024

Chronic diseases spectrum and multimorbidity in elderly inpatients based on a 12-year epidemiological survey in China.

Shan Gao, Shasha Sun, Ting Sun, Tingting Lu, Yan Ma, Hebin Che, Miao Liu, Wanguo Xue, Kunlun He, Yabin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.8field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Prevalence of participation of Brazilian aged people in Advanced Activities of Daily Living and associated factors.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
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

11 authors at 1 institution in 1 country.

Shan GaoChinese PLA Medical School, Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Shasha SunDepartment of Cardiology & National Clinical Research Center for Geriatric Diseases, The Second Medical Center of Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Ting SunDepartment of Cardiology & National Clinical Research Center for Geriatric Diseases, The Second Medical Center of Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Tingting LuDepartment of Cardiology & National Clinical Research Center for Geriatric Diseases, The Second Medical Center of Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Yan MaChinese PLA Medical School, Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Hebin CheMedical Big Data Research Center, Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Miao LiuChinese PLA Medical School, Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Wanguo XueMedical Big Data Research Center, Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Kunlun HeMedical Big Data Research Center, Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China.
Yabin WangDepartment of Cardiology & National Clinical Research Center for Geriatric Diseases, The Second Medical Center of Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China. wyb8202@163.com.
Feng CaoDepartment of Cardiology & National Clinical Research Center for Geriatric Diseases, The Second Medical Center of Chinese PLA General Hospital, 28# Fuxing Road, Beijing, Haidian District, 100853, China. fengcao8828@163.com.
Chinese PLA General Hospital · CN

Funding

Foundation for Innovative Research Groups of the National Natural Science Foundation of China 91939303National Key Research and Development Program of China 2022YFC3602400the Basic Research Reinforcement Project 2021-JCJQ-JJ-1079the Key Health Care Project of Chinese Military Health Commission 19BJZ25the Key Health Care Project of National Health Commission 2020ZD05
6 · The paper itself

Abstract

backgroundThe number and proportion of the elderly population have been continuously increasing in China, leading to the elevated prevalence of chronic diseases and multimorbidity, which ultimately brings heavy burden to society and families. Meanwhile, the status of multimorbidity tends to be more complex in elderly inpatients than community population. In view of the above concerns, this study was designed to investigate the health status of elderly inpatients by analyzing clinical data in Chinese People's Liberation Army (PLA) General Hospital from 2008 to 2019, including the constitution of common diseases, comorbidities, the status of multimorbidity, in-hospital death and polypharmacy among elderly inpatients, so as to better understand the diseases spectrum and multimorbidity of elderly inpatients and also to provide supporting evidence for targeted management of chronic diseases in the elderly.

methodsA clinical inpatients database was set up by collecting medical records of elderly inpatients from 2008 to 2019 in Chinese PLA General Hospital, focusing on diseases spectrum and characteristics of elderly inpatients. In this study, we collected data of inpatients aged ≥ 65 years old, and further analyzed the constitution of diseases, multimorbidity rates and mortality causes in the past decade. In addition, the prescriptions were also analyzed to investigate the status of polypharmacy in elderly inpatients.

resultsA total of 210,169 elderly patients were hospitalized from January 1st, 2008 to December 31st, 2019. The corresponding number of hospitalizations was 290,833. The average age of the study population was 72.67 years old. Of the total population, 73,493 elderly patients were re-admitted within one year, with the re-hospitalization rate of 25.27%. Malignant tumor, hypertension, ischemic heart disease, diabetes mellitus and cerebrovascular disease were the top 5 diseases. Among the study population, the number of patients with two or more long-term health conditions was 267,259, accounting for 91.89%, with an average of 4.68 diseases. In addition, the average number of medications taken by the study population was 5.4, among which, the proportion of patients taking more than 5 types of medications accounted for 55.42%.

conclusionsBy analyzing the constitution of diseases and multimorbidity, we found that multimorbidity has turned out to be a prominent problem in elderly inpatients, greatly affecting the process of healthy aging and increasing the burden on families and society. Therefore, multidisciplinary treatment should be strengthened to make reasonable preventive and therapeutic strategies to improve the life quality of the elderly. Meanwhile, more attention should be paid to reasonable medications for elderly patients with multimorbidity to avoid preventable side effects caused by irrational medication therapy.

Indexed as

East Asian PeopleInpatientsMultimorbidityAgedChinaChronic DiseaseHospital MortalityHumansDisease spectrumElderlyMultimorbidityPolypharmacy

Identifiers

PMID38368398
PMCPMC10874035
OpenAlexW4391899306

What OpenQuestion holds

Textmetadata
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.