| Autor: |
Ramírez Cervantes KL; Patient Blood Management Research Group, Hospital La Paz Institute for Health Research, 28040 Madrid, Spain., Mora E; Department of Statistics, Charles III University of Madrid, 28903 Getafe, Spain., Campillo Morales S; Patient Blood Management Research Group, Hospital La Paz Institute for Health Research, 28040 Madrid, Spain., Huerta Álvarez C; Department of Public Health & Maternal and Child Health, Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain., Marcos Neira P; Intensive Care Unit, Hospital Germans Trias i Pujol, 08916 Badalona, Spain., Nanwani Nanwani KL; Intensive Care Unit, La Paz University Hospital, 28040 Madrid, Spain., Serrano Lázaro A; Intensive Care Unit, Clinic University Hospital of Valencia, 46010 Valencia, Spain., Silva Obregón JA; Intensive Care Unit, University Hospital of Guadalajara, 19002 Guadalajara, Spain., Quintana Díaz M; Patient Blood Management Research Group, Hospital La Paz Institute for Health Research, 28040 Madrid, Spain.; Intensive Care Unit, La Paz University Hospital, 28040 Madrid, Spain. |
| Abstrakt: |
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 3 /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. |
