TMH446817_sm_Suppl._Material.pdf (581.49 kB)
Supplementary Material for: Generalizability of Dutch Prediction Models for Low Hemoglobin Deferral: A Study on External Validation and Updating in Swiss Whole Blood Donors
journal contribution
posted on 2016-10-18, 06:14 authored by Baart A.M., Fontana S., Tschaggelar A., Heymans M.W., de Kort W.L.A.M.Background: Sex-specific prediction models for low
hemoglobin (Hb) deferral have been developed in Dutch
whole blood donors. In this study, we validated and updated
the models in a cohort of Swiss whole blood donors.
Methods: Prospectively collected data from 53,772
Swiss whole blood donors were used. The predictive
performance of the Dutch models was assessed in terms
of calibration (agreement between predicted probabilities
and observed frequencies) and discrimination (ability
to discriminate between deferred and approved donors).
The models were updated by revising the strength
of the individual predictors in the models. Results: A
total of 1,065 men (3.3%) and 2,063 women (9.7%) were
deferred from donation because of a low Hb level. Validation
in Swiss donors demonstrated underestimation
of predicted risks and significantly lower discriminative
ability. The predictive effects of most predictors were
weaker in Swiss donors. Updating the models increased
the calibration for both men and women, and slightly increased
the discriminative ability in men. Conclusion:
Validation of the Dutch prediction models in Swiss
whole blood donors showed lower, though adequate
performance. In general, the Dutch prediction models
can reliably predict the risk of Hb deferral, although for
application in other countries small adaptations are necessary