Evidence map›Paper›PMID 32765943›Full record

ArticleAging and disease2020

Clinical features and risk factors for ICU admission in COVID-19 patients with cardiovascular diseases.

Feng He, Yibo Quan, Ming Lei, Riguang Liu, Shuguang Qin, Jun Zeng, Ziwen Zhao, Na Yu, Liuping Yang, Jie Cao

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Review
  6. Article
  7. Article
  8. Expression ofFuture virology · 2023
    Article
  9. Article
  10. Assessing Biomarkers in Viral Infection.Advances in experimental medicine and biology · 2023
    Review
  11. Article
  12. Article
  13. A simple and readily available inflammation-based risk scoring system on admission predicts the need for mechanical ventilation in patients with COVID-19.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2021
    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

10 authors at 4 institutions in 1 country.

Feng He1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Yibo Quan1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Ming Lei2Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Riguang Liu1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Shuguang Qin1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Jun Zeng1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Ziwen Zhao1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Na Yu1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Liuping Yang2Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Jie Cao1Guangzhou First People's Hospital, The Second Affiliated Hospital of South China University of Technology, Guangzhou, China.
Guangzhou Medical University · CNSouth China University of Technology · CNGuangzhou Eighth People's Hospital · CNGuangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies on coronavirus disease 2019 (COVID-19) have focused on the general population. However, cardiovascular disease (CVD) is a common comorbidity that has rarely been investigated in detail. This study aims to describe clinical characteristics and determine risk factors for intensive care unit (ICU) admission of COVID-19 patients with CVD. In this retrospective cohort study, we included 288 adult patients with COVID-19 in Guangzhou Eighth People's Hospital from January 15, 2020 to March 10, 2020. Demographic characteristics, laboratory results, radiographic findings, complications, and treatments were recorded and compared between CVD and non-CVD groups. A binary logistic regression model was used to identify risk factors associated with ICU admission for infected patients with underlying CVD. COVID-19 patients in the CVD group were older and had higher levels of troponin I (TnI), C-reactive protein (CRP), and creatinine. They were also more prone to develop into severe or critically severe cases, receive ICU admission, and require respiratory support treatment. Multivariate regression analysis showed that the following were risk factors for ICU admission in COVID-19 patients with CVD: each 1-year increase in age (odds ratio (OR), 1.08; 95% confidence interval (CI), 1.02-1.17; p = 0.018); respiratory rate over 24 times per min (OR, 25.52; 95% CI, 5.48-118.87; p < 0.0001); CRP higher than 10 mg/L (OR, 8.12; 95% CI, 1.63-40.49; p = 0.011); and TnI higher than 0.03 μg/L (OR, 9.14; 95% CI, 2.66-31.43; p < 0.0001). Older age, CRP greater than 10 mg/L, TnI higher than 0.03 μg/L, and respiratory rate over 24 times per minute were associated with increasing odds of ICU admission in COVID-19 patients with CVD. Investigating and monitoring these factors could assist in the risk stratification of COVID-19 patients with CVD at an early stage.

Indexed as

cardiovascular diseaseclinical featuresCOVID-19intensive care unitrisk factors

Identifiers

PMID32765943
PMCPMC7390529
OpenAlexW3046368425

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.