Evidence map›Paper›PMID 35873221›Full record

ArticleResearch and practice in thrombosis and haemostasis2022

Biomarker derived risk scores predict venous thromboembolism and major bleeding among patients with COVID-19.

Scott C Woller, Scott M Stevens, Joseph R Bledsoe, Masarret Fazili, James F Lloyd, Greg L Snow, Benjamin D Horne

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06232551 (eVTE), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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.

NCT06232551 naunknown statusnot on this mapstarted 2024, after this paper: background citation

eVTE (Electronic Venous Thromboembolism): A Cluster, Randomized, Step-wedge Type II Hybrid Study of an Alert Recommending Extended Duration Thromboprophylaxis for At-risk Discharging Medical Patients to Prevent VTE.

TypeinterventionalSponsorScott C. Woller, MDRan2024 to 2025Enrolled152,000ConditionsVenous Thromboembolic Disease, Pulmonary Embolism and Thrombosis, Deep Vein Thrombosis, HospitalismArmsEHR (electronic health record) alert, No EHR (electronic health record) alert
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. How to use and report data on D-dimer testing in the COVID-19 era?Research and practice in thrombosis and haemostasis · 2022
    Article
  3. 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

7 authors at 2 institutions in 1 country.

Scott C WollerDepartment of Medicine Intermountain Medical Center, Intermountain Healthcare Murray Utah USA.ORCID https://orcid.org/0000-0002-2522-2705
Scott M StevensDepartment of Medicine Intermountain Medical Center, Intermountain Healthcare Murray Utah USA.
Joseph R BledsoeDepartment of Emergency Medicine, Intermountain Medical Center Intermountain Healthcare Murray Utah USA.ORCID https://orcid.org/0000-0002-3005-2878
Masarret FaziliDepartment of Medicine Intermountain Medical Center, Intermountain Healthcare Murray Utah USA.
James F LloydDepartment of Informatics Intermountain Medical Center, Intermountain Healthcare Murray Utah USA.
Greg L SnowIntermountain Statistical Data Center, Intermountain Medical Center Intermountain Healthcare Murray Utah USA.
Benjamin D HorneIntermountain Medical Center Heart Institute Murray Utah USA.ORCID https://orcid.org/0000-0002-2656-0263
Intermountain Healthcare · USIntermountain Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Venous thromboembolism (VTE) risk is increased in patients with COVID-19 infection. Understanding which patients are likely to develop VTE may inform pharmacologic VTE prophylaxis decision making. The hospital-associated venous thromboembolism-Intermountain Risk Score (HA-VTE IMRS) and the hospital-associated major bleeding-Intermountain Risk Score (HA-MB IMRS) are risk scores predictive of VTE and bleeding that were derived from only patient age and data found in the complete blood count (CBC) and basic metabolic panel (BMP). Objectives: We assessed the HA-VTE IMRS and HA-MB IMRS for predictiveness of 90-day VTE and major bleeding, respectively, among patients diagnosed with COVID-19, and further investigated if adding D-dimer improved these predictions. We also reported 30-day outcomes. Patients/Methods: We identified 5047 sequential patients with a laboratory confirmed diagnosis of COVID-19 and a CBC and BMP between 2 days before and 7 days following the diagnosis of COVID-19 from March 12, 2020, to February 28, 2021. We calculated the HA-VTE IMRS and the HA-MB IMRS for all patients. We assessed the added predictiveness of D-dimer obtained within 48 hours of the COVID test. Results: The HA-VTE IMRS yielded a c-statistic of 0.70 for predicting 90-day VTE and adding D-dimer improved the c-statistic to 0.764 with the corollary sensitivity/specificity/positive/negative predictive values of 49.4%/75.7%/6.7%/97.7% and 58.8%/76.2%/10.9%/97.4%, respectively. Among hospitalized and ambulatory patients separately, the HA-VTE IMRS performed similarly. The HA-MB IMRS predictiveness for 90-day major bleeding yielded a c-statistic of 0.64. Conclusion: The HA-VTE IMRS and HA-MB IMRS predict 90- and 30-day VTE and major bleeding among COVID-19 patients. Adding D-dimer improved the predictiveness of the HA-VTE IMRS for VTE.

Indexed as

biomarkerbleedingrisk scorethrombosisvenous thromboembolism

Identifiers

PMID35873221
PMCPMC9301476
OpenAlexW4286512502

What OpenQuestion holds

Textmetadata
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Registered trials

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.