Evidence map›Paper›PMID 33740793›Full record

ArticlePloS one2021

Validation of an admission coagulation panel for risk stratification of COVID-19 patients.

Darwish Alabyad, Srikant Rangaraju, Michael Liu, Rajeel Imran, Christine L Kempton, Milad Sharifpour, Sara C Auld, Manila Gaddh, Roman Sniecinski, Cheryl L Maier and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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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

13 authors at 2 institutions in 1 country.

Darwish AlabyadMorehouse School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0002-4585-6334
Srikant RangarajuDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Michael LiuDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0002-4438-1285
Rajeel ImranDepartment of Neurology, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Christine L KemptonDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Milad SharifpourDivision of Critical Care Medicine, Department of Anesthesiology, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Sara C AuldEmory Critical Care Center, Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Manila GaddhDepartment of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Roman SniecinskiDepartment of Anesthesiology, Emory University School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0003-4766-3314
Cheryl L MaierDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Jeannette GuarnerDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America.ORCID 0000-0001-5610-3541
Alexander DuncanDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Fadi NahabDepartment of Neurology & Pediatrics, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0003-1710-9881
Emory University · USMorehouse School of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited data on the markers of coagulation and hemostatic activation (MOCHA) profile in Coronavirus disease 2019 (COVID-19) and its ability to identify COVID-19 patients at risk for thrombotic events and other complications.

methodsHospitalized patients with confirmed SARS-COV-2 from four Atlanta hospitals were included in this observational cohort study and underwent admission testing of MOCHA parameters (plasma d-dimer, prothrombin fragment 1.2, thrombin-antithrombin complex, fibrin monomer). Clinical outcomes included deep vein thrombosis, pulmonary embolism, myocardial infarction, ischemic stroke, access line thrombosis, ICU admission, intubation and mortality. MAIN

resultsOf 276 patients (mean age 59 ± 6.4 years, 47% female, 62% African American), 45 (16%) had a thrombotic endpoint. Each MOCHA parameter was independently associated with a thrombotic event (p<0.05) and ≥ 2 abnormalities was associated with thrombotic endpoints (OR 3.3, 95% CI 1.2-8.8) as were admission D-dimer ≥ 2000 ng/mL (OR 3.1, 95% CI 1.5-6.6) and ≥ 3000 ng/mL (OR 3.6, 95% CI 1.6-7.9). However, only ≥ 2 MOCHA abnormalities were associated with ICU admission (OR 3.0, 95% CI 1.7-5.2) and intubation (OR 3.2, 95% CI 1.6-6.4). MOCHA and D-dimer cutoffs were not associated with mortality. MOCHA with <2 abnormalities (26% of the cohort) had 89% sensitivity and 93% negative predictive value for a thrombotic endpoint.

conclusionsAn admission MOCHA profile is useful to risk-stratify COVID-19 patients for thrombotic complications and more effective than isolated d-dimer for predicting risk of ICU admission and intubation.

Indexed as

AgedAntithrombin IIIArea Under CurveCohort StudiesCOVID-19FemaleFibrin Fibrinogen Degradation ProductsHumansIntensive Care UnitsMaleMiddle AgedOdds RatioPatient AdmissionPeptide FragmentsPeptide HydrolasesProthrombinAntithrombin IIIantithrombin III-protease complexFibrin Fibrinogen Degradation Productsfibrin fragment DfibrinmonomerPeptide FragmentsPeptide HydrolasesProthrombinprothrombin fragment 1.2

Identifiers

PMID33740793
PMCPMC7979266
OpenAlexW3136646585

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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.