RT Journal Article
T1 A Clinical Prediction Rule for Thrombosis in Critically Ill COVID-19 Patients: Step 1 Results of the Thromcco Study
A1 Ramírez Cervantes, Karen L.
A1 Mora, Elianne
A1 Campillo Morales, Salvador
A1 Huerta Álvarez, María Consuelo Yolanda
A1 Marcos Neira, Pilar
A1 Nanwani Nanwani, Kapil Laxman
A1 Serrano Lázaro, Ainhoa
A1 Silva Obregón, J. Alberto
A1 Quintana Díaz, Manuel
AB 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 × 103/µL = 1, interleukin-6 ≥ 10 pg/mL = 1, and C-reactive protein (CRP) ≥ 50 mg/L = 1. Score values ≥28 had a sensitivity of 88% and specificity of 29% for thrombosis. This score could be helpful in recognizing patients at higher risk for thrombosis, but further research is needed.
PB MDPI
SN 2077-0383
YR 2023
FD 2023
LK https://hdl.handle.net/20.500.14352/72306
UL https://hdl.handle.net/20.500.14352/72306
LA eng
NO Rovi Pharma Industrial Services
DS Docta Complutense
RD 20 abr 2025