Addition of host genetic variants in a prediction rule for post meningitis hearing loss in childhood: a model updating study

M.S. Sanders, R.C.J. de Jonge, C.B. Terwee, M.W. Heijmans, I. Koomen, S. Ouburg, L. Spanjaard, S.A. Morré, A.M. van Furth

Research output: Contribution to JournalArticleAcademicpeer-review


Background: Sensorineural hearing loss is the most common sequela in survivors of bacterial meningitis (BM). In the past we developed a validated prediction model to identify children at risk for post-meningitis hearing loss. It is known that host genetic variations, besides clinical factors, contribute to severity and outcome of BM. In this study it was determined whether host genetic risk factors improve the predictive abilities of an existing model regarding hearing loss after childhood BM.Methods: Four hundred and seventy-one Dutch Caucasian childhood BM were genotyped for 11 single nucleotide polymorphisms (SNPs) in seven different genes involved in pathogen recognition. Genetic data were added to the original clinical prediction model and performance of new models was compared to the original model by likelihood ratio tests and the area under the curve (AUC) of the receiver operating characteristic curves.Results: Addition of TLR9-1237 SNPs and the combination of TLR2 + 2477 and TLR4 + 896 SNPs improved the clinical prediction model, but not significantly (increase of AUC's from 0.856 to 0.861 and from 0.856 to 0.875 (p = 0.570 and 0.335, respectively). Other SNPs analysed were not linked to hearing loss.Conclusions: Although addition of genetic risk factors did not significantly improve the clinical prediction model for post-meningitis hearing loss, AUC's of the pre-existing model remain high after addition of genetic factors. Future studies should evaluate whether more combinations of SNPs in larger cohorts has an additional value to the existing prediction model for post meningitis hearing loss. © 2013 Sanders et al.; licensee BioMed Central Ltd.
Original languageEnglish
Article number340
JournalBMC Infectious Diseases
Publication statusPublished - 2013


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