Pediatric anesthesia & critical care
Development and Validation of a Nomogram for Predicting Heparin Resistance in Neonates and Young Infants Undergoing Cardiac Surgery: A Retrospective Study
Authors' conclusion
A nomogram based on preoperative variables was developed to predict the HR risk in neonates and young infants undergoing cardiac surgery.
Study context
- Population
- Neonates and young infants 1 to 180 days of age undergoing cardiac surgery, January 2020 to August 2022
- Participants
- 296 neonates
- Outcome
- Prediction of heparin resistance (nomogram discrimination, ROC-AUC)
Methodological detailsrandom split 7:3 into development and validation cohorts, Least Absolute Shrinkage and Selection Operator (LASSO) variable selection, multivariable logistic regression nomogram
- Random split 7:3 into development and validation cohorts
- LASSO variable selection
- Multivariable logistic regression nomogram
Performance
As reported in the abstract
Nomogram (AT activity, platelet count, fibrinogen) for heparin resistance
| Test or model | ROC-AUC |
|---|---|
| Development | 0.874 |
| Validation | 0.873 |
ROC-AUC
Development0.874
Validation0.873
- Hosmer-Lemeshow test: no evidence of lack of fit
- P = 0.768
Further findings
Model performance in neonate and infant subgroups (subgroup)
- Model performed well in neonate and infant subgroups
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Development and Validation of a Nomogram for Predicting Heparin Resistance in Neonates and Young Infants Undergoing Cardiac Surgery: A Retrospective Study. Anesth Analg. Published 22 May 2023. doi:10.
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