Evidence map›Paper›PMID 35628881›Full record

ArticleJournal of clinical medicine2022

Assessment of Bleeding Risk in Hospitalized COVID-19 Patients: A Tertiary Hospital Experience during the Pandemic in a Predominant Minority Population-Bleeding Risk Factors in COVID-19 Patients.

Hesham Abowali, Antoinette Pacifico, Burak Erdinc, Karim Elkholy, Umida Burkhanova, Tarilate Aroriode, Althea Watson, Muhammad Faizan Ahmed, Ese Uwagbale, Nathan Visweshwar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 41% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

11 authors at 7 institutions in 1 country.

Hesham AbowaliOne Brooklyn Health, Brookdale Hospital, Brooklyn, NY 11212, USA.
Antoinette PacificoBaystate Medical Center, Springfield, MA 01199, USA.
Burak ErdincSUNY Downstate Medical Center, Brooklyn, NY 11203, USA.
Karim ElkholyJefferson-Einstein Healthcare Network, Philadelphia, PA 19141, USA.
Umida BurkhanovaOne Brooklyn Health, Brookdale Hospital, Brooklyn, NY 11212, USA.
Tarilate AroriodeRochester General Hospital, Rochester, NY 14621, USA.
Althea WatsonLincoln Hospital, Bronx, NY 10451, USA.ORCID 0000-0001-8962-6752
Muhammad Faizan AhmedSUNY Downstate Medical Center, Brooklyn, NY 11203, USA.
Ese UwagbaleOne Brooklyn Health, Brookdale Hospital, Brooklyn, NY 11212, USA.
Nathan VisweshwarMorsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
Michael JaglalMorsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
Brookdale University Hospital and Medical Center · USSUNY Downstate Health Sciences University · USUniversity of South Florida · USBaystate Medical Center · USEinstein Healthcare Network · USLincoln Medical Center · USRochester General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the wake of the SARS-CoV-2 (COVID-19) pandemic, our world has faced multiple challenges. Infection with this virus has commonly been associated with thrombotic events. However, little is known about bleeding risk and anticoagulation therapy. This study aims to determine factors that are associated with increased risk of bleeding in COVID-19 patients. Methods: A retrospective cohort study was conducted using the records of COVID-19 patients admitted during the COVID-19 pandemic from March 2020 through May 2020. Using patient charts, investigators manually collected data regarding patient characteristics and bleeding. Patients were included in the analysis if they had a confirmed COVID-19 PCR test, were older than 18 years of age and were admitted to the hospital. Patients who were pregnant or had incomplete charts were excluded from the study. ANOVA and logistic regression were used to determine the statistical significance of the data using SPSS version 27. Results: A total of 651 patients were included in the analysis out of 685 patients located in the database of COVID-19 infected patients during that time frame. The general characteristics of the patients were as follows: 54.2% were males; females 45.8% ages ranged from 28 to 83 years old (median age = 66 years old). There were 31 patients (4.9%) who required more than 1 unit of packed red blood cell (PRBC). A total of 16 (2.85%) patients had a documented gastrointestinal bleed (GIB), of which 8 received a total of 29 units of PRBC transfusions. The HAS-BLED score (without alcohol/drug due to inadequate charting) is calculated for patients who had a documented GI bleed and who received more than one unit of PRBC. It was noted that the higher the HAS-BLED score the greater the likelihood of having a GI bleed (p < 0.001). The HAS-BLED score (not including alcohol/drug) was also predictive for patients who received more than one unit of PRBC during their hospital stay (p < 0.001). Discussion: Using the HAS-BLED score without alcohol/drugs, patients with COVID-19 can be stratified in regard to their risk of GI bleeding and their risk of transfusion while in the hospital. When administering anticoagulation therapy, cautious monitoring should be carried out. Decisions regarding anticoagulant therapy should be based on individual patient characteristics.

Indexed as

blood transfusionhemorrhageinfectionSARS-CoV-2thrombosis

Identifiers

PMID35628881
PMCPMC9145335
OpenAlexW4280628738

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.