Evidence map›Paper›PMID 37880873›Full record

ArticleKorean circulation journal2023

Trends and Outcomes of Type 2 Myocardial Infarction During the COVID-19 Pandemic in the United States.

Harshith Thyagaturu, Nicholas Roma, Aakash Angirekula, Sittinun Thangjui, Alex Bolton, Karthik Gonuguntla, Yasar Sattar, Muchi Ditah Chobufo, Abhiram Challa, Neel Patel and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Korean circulation journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 9 institutions in 1 country.

Harshith ThyagaturuDepartment of Cardiology, West Virginia University School of Medicine, Morgantown, WV, USA.ORCID https://orcid.org/0000-0002-0457-5851
Nicholas RomaDepartment of Internal Medicine, St. Luke's University Health Network, Bethlehem, PA, USA. nroma127@gmail.com.ORCID https://orcid.org/0000-0002-7321-0100
Aakash AngirekulaUniversity of Texas at Austin, Austin, TX, USA.ORCID https://orcid.org/0009-0004-0791-3336
Sittinun ThangjuiDepartment of Internal Medicine, Bassett Healthcare Network, Cooperstown, NY, USA.ORCID https://orcid.org/0000-0002-5846-4620
Alex BoltonUniversity of Iowa College of Public Health, Iowa City, IA, USA.ORCID https://orcid.org/0000-0001-7965-1858
Karthik GonuguntlaDepartment of Cardiology, West Virginia University School of Medicine, Morgantown, WV, USA.ORCID https://orcid.org/0000-0002-5607-7993
Yasar SattarDepartment of Cardiology, West Virginia University School of Medicine, Morgantown, WV, USA.ORCID https://orcid.org/0000-0002-1304-5748
Muchi Ditah ChobufoDepartment of Cardiology, West Virginia University School of Medicine, Morgantown, WV, USA.ORCID https://orcid.org/0000-0002-4490-5480
Abhiram ChallaDepartment of Medicine, University of Kansas School of Medicine, Wichita, KS, USA.ORCID https://orcid.org/0000-0001-5686-8819
Neel PatelDepartment of Internal Medicine, New York Medical College/Landmark Medical Center, Woonsocket, RI, USA.ORCID https://orcid.org/0009-0009-0122-1028
Gayatri BondiDepartment of Internal Medicine, Bassett Medical Center, Cooperstown, NY, USA.ORCID https://orcid.org/0009-0002-6570-3535
Sameer RainaDepartment of Cardiology, Stanford University School of Medicine, CA, USA.ORCID https://orcid.org/0000-0002-2998-8812
West Virginia University · USBassett Healthcare Network · USBassett Medical Center · USNew York Medical College · USStanford University · USSt. Luke's University Health Network · USThe University of Texas at Austin · USUniversity of Iowa · USUniversity of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThere is limited data on the impact of type 2 myocardial infarction (T2MI) during the coronavirus disease 2019 (COVID-19) pandemic.

methodsThe National Inpatient Sample (NIS) database from January 2019 to December 2020 was queried to identify T2MI hospitalizations based on the appropriate International Classification of Disease, Tenth Revision-Clinical Modification codes. Monthly trends of COVID-19 and T2MI hospitalizations were evaluated using Joinpoint regression analysis. In addition, the multivariate logistic and linear regression analysis was used to compare in-hospital mortality, coronary angiography use, and resource utilization between 2019 and 2020.

resultsA total of 743,535 patients hospitalized with a diagnosis of T2MI were identified in the years 2019 (n=331,180) and 2020 (n=412,355). There was an increasing trend in T2MI hospitalizations throughout the study period corresponding to the increase in COVID-19 hospitalizations in 2020. The adjusted odds of in-hospital mortality associated with T2MI hospitalizations were significantly higher in 2020 compared with 2019 (11.1% vs. 8.1%: adjusted odds ratio, 1.19 [1.13-1.26]; p<0.01). In addition, T2MI hospitalizations were associated with lower odds of coronary angiography and higher total hospitalization charges, with no difference in the length of stay in 2020 compared with 2019.

conclusionsWe found a significant increase in T2MI hospitalizations with higher in-hospital mortality, total hospitalization costs, and lower coronary angiography use during the early COVID-19 pandemic corresponding to the trends in the rise of COVID-19 hospitalizations. Further research into the factors associated with increased mortality can increase our preparedness for future pandemics.

Indexed as

COVID-19Myocardial infarctionMyocardial ischemiaSARS-CoV-2

Identifiers

PMID37880873
PMCPMC10751182
OpenAlexW4387413916

What OpenQuestion holds

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LicenceCC BY-NC
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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.