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Comparison of thromboembolic risk scores for evaluating in-hospital events of COVID-19 patients

Overview of attention for article published in Biomarkers in Medicine, April 2023
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Title
Comparison of thromboembolic risk scores for evaluating in-hospital events of COVID-19 patients
Published in
Biomarkers in Medicine, April 2023
DOI 10.2217/bmm-2022-0546
Pubmed ID
Authors

Ömer Genç, Abdullah Yildirim, Mürşide Genç, Fahri Er, Gökhan Alici, Alaa Quisi, Hazar Harbalioğlu, Samir Allahverdiyev, İbrahim H Kurt

Abstract

Aim: To compare the effectiveness of thromboembolic risk scores in determining in-hospital events of COVID-19 patients. Methods: This retrospective study included a total of 410 consecutive COVID-19 patients. Scores including CHA2DS2-VASc-HS (congestive heart failure, hypertension, age, diabetes mellitus, stroke/transient ischemic attack, vascular disease, sex, hyperlipidemia, smoking); modified R2CHA2DS2-VASc (CHA2DS2-VASc plus renal function), m-ATRIA (modified Anticoagulation and Risk Factors in Atrial Fibrillation score), ATRIA-HSV (ATRIA plus hyperlipidemia, smoking and vascular disease) and modified ATRIA-HSV were calculated. Participants were divided by in-hospital mortality status into two groups: alive and deceased. Results: Ninety-two (22.4%) patients died. Patients in the deceased group were older, predominantly male and had comorbid conditions. CHA2DS2-VASc-HS (adjusted odds ratio [aOR]: 1.31; p = 0.011), m-R2CHA2DS2-VASc (aOR: 1.33; p = 0.007), m-ATRIA (aOR: 1.18; p = 0.026), ATRIA-HSV (aOR: 1.18; p = 0.013) and m-ATRIA-HSV (aOR: 1.24; p = 0.001) scores were all associated with in-hospital mortality. m-R2CHA2DS2-VASc and modified ATRIA-HSV had the best discriminatory performance. Conclusion: We showed that m-R2CHA2DS2-VASc and m-ATRIA-HSV scores were better than the rest in predicting mortality among COVID-19 patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 33%
Researcher 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Medicine and Dentistry 3 50%
Unspecified 2 33%
Unknown 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2023.
All research outputs
#21,186,626
of 25,959,914 outputs
Outputs from Biomarkers in Medicine
#470
of 669 outputs
Outputs of similar age
#314,928
of 422,527 outputs
Outputs of similar age from Biomarkers in Medicine
#7
of 10 outputs
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So far Altmetric has tracked 669 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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