Assessment of the children's likelihood of thrombosis (CLOT) (children's likelihood of thrombosis) real-time risk prediction model of hospital-associated venous thromboembolism in children with congenital heart disease
Authors' conclusion
The addition of cardiac specific features improved model discrimination; however, this benefit was marginal compared to refitting the original model to the CHD cohort.
Study context
- Population
- Children with CHD, 2010 to 2022
- Participants
- 1,457 patient encounters
- Exposure
- Original vs refit vs updated CLOT model
- Outcome
- Discrimination for HA-VTE (AUROC)
Main finding
As reported in the abstract
AUROC for HA-VTE
Original
0.80
AUROC · 95% CI 0.75–0.85
Refit
0.85
AUROC · CI 0.81–0.89
Updated
0.86
AUROC · CI 0.81–0.90
Observational data: associations, not effects.
Further findings
STAT Category 4-5 vs STAT Category 1-3
HA-VTE rate by STAT Category
P < 0.001
Thrombosis vs No thrombosis
Cardiopulmonary bypass time, thrombosis vs no thrombosis
P < 0.001
Hospital-associated venous thromboembolism (HA-VTE) rate
- CHD cohort
- 5%
- General pediatric population
- 1%
Features associated with thrombosis
- Younger age, thrombosis history, infectious disease consultation, EHR coding of central venous line, lower height and weight associated with thrombosis
Original publication
Assessment of the CLOT (children's likelihood of thrombosis) real-time risk prediction model of hospital-associated venous thromboembolism in children with congenital heart disease. Am Heart J. Published 21 March 2024. doi:10.
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