Journal
JOURNAL OF PEDIATRICS
Volume 228, Issue -, Pages 252-+Publisher
MOSBY-ELSEVIER
DOI: 10.1016/j.jpeds.2020.09.016
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Funding
- National Institutes of Health from the National Center for Advancing Translational Sciences [UL1TR001855]
- Hemostasis and Thrombosis Research Society Mentored Research Award
- Takeda Pharmaceuticals U.S.A.
- CHOC Children's Hospital
- University of California Irvine Physician-Scientist Research Award program
- Children's Hospital Saban Research Mentored Career Development Award
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This study aimed to identify clinical variables discernible on the day of hospital admission that can be used to assess risk for hospital-acquired venous thromboembolism (HA-VTE) in children. The results showed significant risk factors for HA-VTE include age <1 year and 10-22 years, cancer, congenital heart disease, recent hospitalization, immobility, high platelet count, central venous catheter, recent surgery, steroids, and mechanical ventilation. The risk assessment model developed in this study may help identify low-risk and high-risk groups of hospitalized children for further investigation of prophylactic strategies in future clinical trials.
Objective To identify pertinent clinical variables discernible on the day of hospital admission that can be used to assess risk for hospital-acquired venous thromboembolism (HA-VTE) in children. Study design The Children's Hospital-Acquired Thrombosis Registry is a multi-institutional registry for all hospitalized participants aged 0-21 years diagnosed with a HA-VTE and non-VTE controls. A risk assessment model (RAM) for the development of HA-VTE using demographic and clinical VTE risk factors present at hospital admission was derived using weighted logistic regression and the least absolute shrinkage and selection (Lasso) procedure. The models were internally validated using 5-fold cross-validation. Discrimination and calibration were assessed using area under the receiver operating characteristic curve and Hosmer-Lemeshow goodness of fit, respectively. Results Clinical data from 728 cases with HA-VTE and 839 non-VTE controls, admitted between January 2012 and December 2016, were abstracted. Statistically significant RAM elements included age <1 year and 10-22 years, cancer, congenital heart disease, other high-risk conditions (inflammatory/autoimmune disease, blood-related disorder, protein-losing state, total parental nutrition dependence, thrombophilia/personal history of VTE), recent hospitalization, immobility, platelet count >350K/mu L, central venous catheter, recent surgery, steroids, and mechanical ventilation. The area under the receiver operating characteristic curve was 0.78 (95% CI 0.76-0.80). Conclusions Once externally validated, this RAM will identify those who are at low-risk as well as the greatest-risk groups of hospitalized children for investigation of prophylactic strategies in future clinical trials.
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