Evidence map›Paper›PMID 36835788›Full record

ArticleJournal of clinical medicine2023

A Clinical Prediction Rule for Thrombosis in Critically Ill COVID-19 Patients: Step 1 Results of the Thromcco Study.

Karen L Ramírez Cervantes, Elianne Mora, Salvador Campillo Morales, Consuelo Huerta Álvarez, Pilar Marcos Neira, Kapil Laxman Nanwani Nanwani, Ainhoa Serrano Lázaro, J Alberto Silva Obregón, Manuel Quintana Díaz

Abstract read
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Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Karen L Ramírez CervantesPatient Blood Management Research Group, Hospital La Paz Institute for Health Research, 28040 Madrid, Spain.ORCID 0000-0001-5083-1978
Elianne MoraDepartment of Statistics, Charles III University of Madrid, 28903 Getafe, Spain.
Salvador Campillo MoralesPatient Blood Management Research Group, Hospital La Paz Institute for Health Research, 28040 Madrid, Spain.
Consuelo Huerta ÁlvarezDepartment of Public Health & Maternal and Child Health, Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain.ORCID 0000-0003-4012-7826
Pilar Marcos NeiraIntensive Care Unit, Hospital Germans Trias i Pujol, 08916 Badalona, Spain.ORCID 0000-0002-9166-5280
Kapil Laxman Nanwani NanwaniIntensive Care Unit, La Paz University Hospital, 28040 Madrid, Spain.ORCID 0000-0001-9217-4750
Ainhoa Serrano LázaroIntensive Care Unit, Clinic University Hospital of Valencia, 46010 Valencia, Spain.ORCID 0000-0003-1837-5575
J Alberto Silva ObregónIntensive Care Unit, University Hospital of Guadalajara, 19002 Guadalajara, Spain.ORCID 0000-0002-6479-4220
Manuel Quintana DíazPatient Blood Management Research Group, Hospital La Paz Institute for Health Research, 28040 Madrid, Spain.ORCID 0000-0003-4852-4148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of thrombosis in COVID-19 patients is exceptionally high among intensive care unit (ICU)-admitted individuals. We aimed to develop a clinical prediction rule for thrombosis in hospitalized COVID-19 patients. Data were taken from the Thromcco study (TS) database, which contains information on consecutive adults (aged ≥ 18) admitted to eight Spanish ICUs between March 2020 and October 2021. Diverse logistic regression model analysis, including demographic data, pre-existing conditions, and blood tests collected during the first 24 h of hospitalization, was performed to build a model that predicted thrombosis. Once obtained, the numeric and categorical variables considered were converted to factor variables giving them a score. Out of 2055 patients included in the TS database, 299 subjects with a median age of 62.4 years (IQR 51.5-70) (79% men) were considered in the final model (SE = 83%, SP = 62%, accuracy = 77%). Seven variables with assigned scores were delineated as age 25-40 and ≥70 = 12, age 41-70 = 13, male = 1, D-dimer ≥ 500 ng/mL = 13, leukocytes ≥ 10 × 10

Indexed as

clinical prediction ruleCOVID-19risk prediction modelthrombosis

Identifiers

PMID36835788
PMCPMC9966844

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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.