Evidence map›Paper›PMID 39673580›Full record

ArticleCurrent medical science2024

Rates, Risk Factors, and Outcomes of Nonvariceal Upper Gastrointestinal Bleeding in Patients Hospitalized for COVID-19 in the United States.

Mohammad Aldiabat, Wesam Aleyadeh, Taimur Muzammil, Kemi Adewuyi, Majd Alahmad, Ahmad Jabri, Laith Alhuneafat, Yassine Kilani, Saqr Alsakarneh, Mohammad Bilal

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Article in Current medical science, 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

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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

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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

10 authors.

Mohammad AldiabatHarvard T.H. Chan School of Public Health, Harvard University, Boston, 02115, USA. mohameddiabat88@gmail.com.
Wesam AleyadehDepartment of Medicine, Cleveland Clinic Akron General, Akron, 44307, USA.
Taimur MuzammilDepartment of Medicine, Allegheny Health Network, Pittsburgh, 15212, USA.
Kemi AdewuyiDepartment of Medicine, Allegheny Health Network, Pittsburgh, 15212, USA.
Majd AlahmadDepartment of Medicine, University of Pittsburgh, Pittsburgh, 15261, USA.
Ahmad JabriHeart and Vascular Center, MetroHealth Medical Center, Cleveland, 44109, USA.
Laith AlhuneafatDepartment of Medicine, Allegheny Health Network, Pittsburgh, 15212, USA.
Yassine KilaniDepartment of Medicine, Lincoln Medical Center/Weil Cornell Medicine, Bronx, 10451, USA.
Saqr AlsakarnehDepartment of Medicine, University of Missouri-Kansas City, Kansas City, 64108, USA.
Mohammad BilalDepartment of Medicine, University of Minnesota/Minneapolis VA Medical Center, Minneapolis, 55417, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the incidence and predictors of non-variceal upper gastrointestinal bleeding (NVUGIB) in hospitalized patients with coronavirus disease 2019 (COVID-19), as well as the inpatient outcomes associated with this complication.

methodsThis was an analysis of the National Inpatient Sample Database from January to December 2020. Adult COVID-19 patients were categorized into two groups based on NVUGIB development during hospitalization. Multivariate logistic analysis was performed to identify predictors and outcomes associated with NVUGIB in hospitalized COVID-19 patients in the US, after adjusting for age, sex, race, and Charlson Comorbidity Index (CCI) score, using Stata/BE 17.0.

resultsAmong 1 050 045 hospitalized patients, 1.87% developed NVUGIB. Asian Americans had the highest risk, followed by Native Americans, Hispanics, and African Americans, with odds ratios (ORs) of 1.70, 1.59, 1.40, and 1.14, respectively. Patients with higher CCI scores were also at greater risk (with ORs of 1.47, 2.09, and 3.45 for CCI scores of 1, 2, and 3, respectively). COVID-19 patients with NVUGIB had a higher risk of inpatient mortality (OR=3.84), acute kidney injury (OR=3.12), hypovolemic shock (OR=13.7), blood transfusion (OR=7.02), and in-hospital cardiac arrest (OR=4.02).

conclusionNVUGIB occurred in 1.87% of hospitalized COVID-19 patients and was associated with a threefold increase in mortality. Further research is necessary to identify strategies for reducing its incidence in COVID-19 patients with multiple risk factors.

Indexed as

COVID-19Gastrointestinal HemorrhageHospitalizationAdultAgedAged, 80 and overFemaleHospital MortalityHumansIncidenceMaleMiddle AgedRisk FactorsSARS-CoV-2United StatesCOVID-19epidemiologyoutcomespredictorsupper gastrointestinal bleeding

Identifiers

PMID39673580

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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.