Evidence map›Paper›PMID 35030181›Full record

ArticlePloS one2022

What are the risk factors of hospital length of stay in the novel coronavirus pneumonia (COVID-19) patients? A survival analysis in southwest China.

Zhuo Wang, Yuanyuan Liu, Luyi Wei, John S Ji, Yang Liu, Runyou Liu, Yuxin Zha, Xiaoyu Chang, Lun Zhang, Qian Liu and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
5.3field-weighted citation impact, top 3% 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, 40 citations in OpenAlex.

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  6. Maternal Characteristics and Outcomes Affected by COVID-19 Pandemic in Indonesia.Journal of obstetrics and gynaecology of India · 2023
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  12. Discharge to post-acute care and other predictors of prolonged length of stay during the initial COVID-19 surge: a single site analysis.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Observational
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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

19 authors at 3 institutions in 1 country.

Zhuo WangSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Yuanyuan LiuDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Luyi WeiDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
John S JiVanke School of Public Health, Tsinghua University, Beijing, China.
Yang LiuSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Runyou LiuSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Yuxin ZhaSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Xiaoyu ChangSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Lun ZhangSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Qian LiuSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Yu ZhangSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Jing ZengSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Ting DongSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Xinyin XuSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Lijun ZhouSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Jun HeSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Ying DengSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Bo ZhongSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.ORCID 0000-0003-0464-4690
Xianping WuSichuan Center of Disease Control and Prevention, Chengdu, Sichuan, China.
Sichuan Center for Disease Control and Prevention · CNWest China Medical Center of Sichuan University · CNVanke (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global epidemic of novel coronavirus pneumonia (COVID-19) has resulted in substantial healthcare resource consumption. Since patients' hospital length of stay (LoS) is at stake in the process, an investigation of COVID-19 patients' LoS and its risk factors becomes urgent for a better understanding of regional capabilities to cope with COVID-19 outbreaks.

methodsFirst, we obtained retrospective data of confirmed COVID-19 patients in Sichuan province via National Notifiable Diseases Reporting System (NNDRS) and field surveys, including their demographic, epidemiological, clinical characteristics and LoS. Then we estimated the relationship between LoS and the possibly determinant factors, including demographic characteristics of confirmed patients, individual treatment behavior, local medical resources and hospital grade. The Kaplan-Meier method and the Cox Proportional Hazards Model were applied for single factor and multi-factor survival analysis.

resultsFrom January 16, 2020 to March 4, 2020, 538 human cases of COVID-19 infection were laboratory-confirmed, and were hospitalized for treatment, including 271 (50%) patients aged ≥ 45, 285 (53%) males, and 450 patients (84%) with mild symptoms. The median LoS was 19 (interquartile range (IQR): 14-23, range: 3-41) days. Univariate analysis showed that age and clinical grade were strongly related to LoS (P<0.01). Adjusted multivariate analysis showed that the longer LoS was associated with those aged ≥ 45 (Hazard ratio (HR): 0.74, 95% confidence interval (CI): 0.60-0.91), admission to provincial hospital (HR: 0.73, 95% CI: 0.54-0.99), and severe illness (HR: 0.66, 95% CI: 0.48-0.90). By contrast, the shorter LoS was linked with residential areas with more than 5.5 healthcare workers per 1,000 population (HR: 1.32, 95% CI: 1.05-1.65). Neither gender factor nor time interval from illness onset to diagnosis showed significant impact on LoS.

conclusionsUnderstanding COVID-19 patients' hospital LoS and its risk factors is critical for governments' efficient allocation of resources in respective regions. In areas with older and more vulnerable population and in want of primary medical resources, early reserving and strengthening of the construction of multi-level medical institutions are strongly suggested to cope with COVID-19 outbreaks.

Indexed as

AdultAge FactorsChinaCOVID-19FemaleHospitalizationHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk FactorsSurvival Analysis

Identifiers

PMID35030181
PMCPMC8759704
OpenAlexW4205494851

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.