Evidence map›Paper›PMID 38402574›Full record

ArticleClinical cardiology2024

The incidence and impact of atrial fibrillation on hospitalized Coronavirus disease-2019 patients.

Haiming Niu, Jianwei Li, Catherine Teng, Xiaojia Lu, Chengyue Jin, Peng Cai, Ao Shi, Xiaoqing Shen, Qiqi Chen, Miaolian Chen and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 3 countries.

Haiming NiuDepartment of Critical Care Medicine, Zhongshan People's Hospital, Zhongshan, P.R. China.
Jianwei LiDepartment of Critical Care Medicine, Zhongshan People's Hospital, Zhongshan, P.R. China.
Catherine TengDivision of Cardiology, Department of Medicine, University of Texas Health Science Center, San Antonio, Texas, USA.
Xiaojia LuDepartment of Cardiology, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Chengyue JinDepartment of Cardiology, the First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Peng CaiDepartment of Mathematical Sciences, Worcester Polytechnic Institute, Worcester, Massachusetts, USA.
Ao ShiFaculty of Medicine, St. George University of London, London, UK.
Xiaoqing ShenDepartment of Critical Care Medicine, Zhongshan People's Hospital, Zhongshan, P.R. China.
Qiqi ChenDepartment of Critical Care Medicine, Zhongshan People's Hospital, Zhongshan, P.R. China.
Miaolian ChenDepartment of Critical Care Medicine, Zhongshan People's Hospital, Zhongshan, P.R. China.
Yong YuanDepartment of Cardiovasculogy, Zhongshan People's Hospital, Zhongshan, P.R. China.
Pengyang LiDivision of Cardiology, Pauley Heart Center, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID http://orcid.org/0000-0003-2272-9102
Zhongshan People's Hospital · CNMount Sinai Beth Israel · USShantou University · CNSt George's, University of London · GBThe University of Texas Health Science Center at San Antonio · USVirginia Commonwealth University · USWorcester Polytechnic Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2019, Coronavirus disease-2019 (COVID-19) has raised unprecedented global health crisis. The incidence and impact of atrial fibrillation (AF) on patients with COVID-19 remain unclearly defined.

methodsWe conducted a retrospective cohort study using ICD-10 codes to identify patients with a primary diagnosis of COVID-19 with or without AF in National Inpatient Sample Database 2020. We compared the outcome of COVID-19 patients with a concurrent diagnosis of AF with those without. HYPOTHESIS: AF will adversely affect the prognosis of hospitalized COVID-19 patients.

resultsA total of 211 619 patients with a primary diagnosis of COVID-19 were identified. Among these patients, 31 923 (15.08%) had a secondary diagnosis of AF. Before propensity score matching, COVID-AF cohort was older (75.8 vs. 62.2-year-old, p < .001) and had more men (57.5% vs. 52.0%, p < .001). It is associated with more comorbidities, mainly including diabetes mellitus (43.7% vs. 39.9%, p < .001), hyperlipidemia (54.6% vs. 39.8%, p < .001), chronic kidney disease (34.5% vs. 17.0%, p < .001), coronary artery disease (35.3% vs. 14.4%, p < .001), anemia (27.8% vs. 18.6%, p < .001), and cancer (4.8% vs. 3.4%, p < .001). After performing propensity score match, a total of 31 862 patients were matched within each group. COVID-AF cohort had higher inpatient mortality (22.2% vs. 15.3%, p < .001) and more complications, mainly including cardiac arrest (3.9% vs. 2.3%, p < .001), cardiogenic shock (0.9% vs. 0.3%, p < .001), hemorrhagic stroke (0.4% vs. 0.3%, p = .025), and ischemic stroke (1.3% vs. 0.7%, p < .001). COVID-AF cohort was more costly, with a longer length of stay, and a higher total charge.

conclusionAF is common in patients hospitalized for COVID-19, and is associated with poorer in-hospital mortality, immediate complications and increased healthcare resource utilization.

Indexed as

Atrial FibrillationCoronavirusCOVID-19HumansIncidenceMaleMiddle AgedRetrospective Studiesatrial fibrillationCOVID-19in-hospital complicationmortality

Identifiers

PMID38402574
PMCPMC10894524
OpenAlexW4392144247

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.