Evidence map›Paper›PMID 39021522›Full record

ArticleAmerican journal of cardiovascular disease2024

Disparities by sex, race, and region in acute myocardial infarction-related outcomes during the early COVID-19 pandemic: the national inpatient sample analysis.

Harshith Thyagaturu, Amro Taha, Shafaqat Ali, Nicholas Roma, Sanchit Duhan, Neel Patel, Yasar Sattar, Karthik Gonuguntla, Harigopal Sandhyavenu, Irisha Badu and 2 more

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Article in American journal of cardiovascular disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Harshith ThyagaturuDepartment of Cardiology, West Virginia University Morgantown, WV, USA.
Amro TahaDepartment of Internal Medicine, Weiss Memorial Hospital Chicago, IL, USA.
Shafaqat AliDepartment of Medicine, Louisiana State University Shreveport, LA, USA.
Nicholas RomaDepartment of Internal Medicine, St Luke's University Hospital Bethlehem, PA, USA.
Sanchit DuhanDepartment of Internal Medicine, Sinai Hospital of Baltimore Baltimore, MD, USA.
Neel PatelDepartment of Internal Medicine, New York Medical College/Landmark Medical Center Woonsocket, RI, USA.
Yasar SattarDepartment of Cardiology, West Virginia University Morgantown, WV, USA.
Karthik GonuguntlaDepartment of Cardiology, West Virginia University Morgantown, WV, USA.
Harigopal SandhyavenuDepartment of Internal Medicine, Weiss Memorial Hospital Chicago, IL, USA.
Irisha BaduDepartment of Medicine, Onslow Memorial Hospital Jacksonville, NC, USA.
Erin D MichosDivision of Cardiology, Johns Hopkins University School of Medicine Baltimore, MD, USA.
Sudarshan BallaDepartment of Cardiology, West Virginia University Morgantown, WV, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisparities in acute myocardial infarction (AMI)-related outcomes have been reported before the COVID-19 pandemic. We studied in-hospital outcomes of AMI across demographic groups in the United States during the early COVID-19 pandemic.

methodsThe National Inpatient Sample (NIS) database was queried for 2020 to identify AMI-related hospitalizations based on appropriate ICD-10-CM codes categorized by sex, race, and hospital region categories. The primary outcome was in-hospital mortality in females, racial and ethnic minority groups, and Northeast hospital region compared with males, White patients, and Midwest hospital region, respectively. Multivariable regression analysis was used to calculate the adjusted odds ratio and mean difference.

resultsA total of 820,893 AMI-related hospitalizations were identified during the study period. On adjusted analysis, during the early COVID-19 pandemic, females had lower odds of in-hospital mortality [aOR 0.89 (0.85-0.92); P < 0.01] and revascularization [aOR 0.68 (0.66-0.69); P < 0.01] than males. Racial and ethnic based analysis showed that Asian/Pacific Islander patients had higher odds of in-hospital mortality [aOR 1.13 (1.03-1.25); P < 0.01] than White patients. During the early COVID-19 pandemic, Northeast and Western region hospitals had higher odds of in-hospital mortality, lower odds of revascularization, longer length of stay, and higher total hospitalization costs than Midwest region hospitals.

conclusionsOur study disclosed disparities in AMI-related mortality and revascularization by sex, race and ethnic, and region during the early COVID-19 pandemic. Special attention should be given to at-risk populations. Whether these disparities continue in the post-vaccination era warrants further study.

Indexed as

acute myocardial infarctionCOVID-19percutaneous coronary interventionSARS-CoV-2

Identifiers

PMID39021522
PMCPMC11249665

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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.