Evidence map›Paper›PMID 33973673›Full record

Observational studyClinical cardiology2021

The prognostic significance of electrocardiography findings in patients with coronavirus disease 2019: A retrospective study.

Deyan Yang, Jing Li, Peng Gao, Taibo Chen, Zhongwei Cheng, Kangan Cheng, Hua Deng, Quan Fang, Chunfeng Yi, Hongru Fan and 6 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Clinical cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Electrocardiographic Changes in COVID-19 Patients: A Hospital-based Descriptive Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  7. Observational
  8. Article
  9. 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

16 authors at 2 institutions in 1 country.

Deyan YangDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-8706-8950
Jing LiDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Peng GaoDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Taibo ChenDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhongwei ChengDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Kangan ChengDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hua DengDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Quan FangDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chunfeng YiDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Hongru FanDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Yonghong WuDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Liwei LiDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Yong FangDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Guowei TianDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Wan PanDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.
Fan ZhangDepartment of Cardiology, Intervention Cardiology Center, Wuhan No.1 Hospital, No.215 Zhongshan Avenue, QiaoKou District, Wuhan, China.ORCID https://orcid.org/0000-0001-8922-4710
Wuhan No.1 Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) has reached a pandemic level. Cardiac injury is not uncommon among COVID-19 patients. We sought to describe the electrocardiographic characteristics and to identify the prognostic significance of electrocardiography (ECG) findings of patients with COVID-19. HYPOTHESIS: ECG abnormality was associated with higher risk of death.

methodsConsecutive patients with laboratory-confirmed COVID-19 and definite in-hospital outcome were retrospectively included. Demographic characteristics and clinical data were extracted from medical record. Initial ECGs at admission or during hospitalization were reviewed. A point-based scoring system of abnormal ECG findings was formed, in which 1 point each was assigned for the presence of axis deviation, arrhythmias, atrioventricular block, conduction tissue disease, QTc interval prolongation, pathological Q wave, ST-segment change, and T-wave change. The association between abnormal ECG scores and in-hospital mortality was assessed in multivariable Cox regression models.

resultsA total of 306 patients (mean 62.84 ± 14.69 years old, 48.0% male) were included. T-wave change (31.7%), QTc interval prolongation (30.1%), and arrhythmias (16.3%) were three most common found ECG abnormalities. 30 (9.80%) patients died during hospitalization. Abnormal ECG scores were significantly higher among non-survivors (median 2 points vs 1 point, p < 0.001). The risk of in-hospital death increased by a factor of 1.478 (HR 1.478, 95% CI 1.131-1.933, p = 0.004) after adjusted by age, comorbidities, cardiac injury and treatments.

conclusionsECG abnormality was common in patients admitted for COVID-19 and was associated with adverse in-hospital outcome. In-hospital mortality risk increased with increasing abnormal ECG scores.

Indexed as

ElectrocardiographyCardiovascular DiseasesChinaCOVID-19FemaleHospital MortalityHumansMaleMiddle AgedPandemicsPneumonia, ViralPrognosisRetrospective StudiesRisk FactorsSARS-CoV-2cardiac injurycoronaviruselectrocardiographyoutcome

Identifiers

PMID33973673
PMCPMC8237010
OpenAlexW3163641642

What OpenQuestion holds

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LicenceCC BY
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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.