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Development and Validation of Prediction Models for Developmental and Intellectual Outcome Following Pediatric Epilepsy Surgery.
Cloppenborg, Thomas; van Schooneveld, Monique; Hagemann, Anne; Hopf, Johanna Lena; Kalbhenn, Thilo; Otte, Willem M; Polster, Tilman; Bien, Christian G; Braun, Kees P J.
Affiliation
  • Cloppenborg T; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • van Schooneveld M; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Hagemann A; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Hopf JL; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Kalbhenn T; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Otte WM; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Polster T; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Bien CG; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
  • Braun KPJ; From the Department of Epileptology (Krankenhaus Mara) (T.C., J.L.H., T.P., C.G.B.), Bielefeld University Medical School, Germany; Department of Pediatric Neurology (M.v.S., W.M.O., K.P.J.B.), University Medical Center Utrecht, Member of the ERN EpiCARE, the Netherlands; Society for Epilepsy Researc
Neurology ; 98(3): e225-e235, 2022 01 18.
Article in En | MEDLINE | ID: mdl-34795046
ABSTRACT
BACKGROUND AND

OBJECTIVES:

To identify predictors of postoperative intelligence and developmental quotients (IQ/DQ) and develop and validate clinically applicable IQ/DQ prediction models.

METHODS:

We retrospectively analyzed neuropsychological outcomes and their possible determinants for children treated in Bethel and Utrecht since 1990. We performed separate analyses for patients with IQ and those with only DQ available. We developed prediction models based on presurgical determinants to predict dichotomized levels of performance (IQ ≥85, IQ ≥70, DQ ≥50).

RESULTS:

IQ/DQ data before and 2 years after surgery were available for 492 patients (IQ n = 365, DQ n = 127). At a cutoff level ±10 points, the chance of improvement was considerably higher than the chance of deterioration (IQ 37.3% vs 6.6% and DQ 31.5% vs 15.0%, respectively). Presurgical IQ/DQ was the strongest predictor of postoperative cognition (IQ r = 0.85, p <0.001; DQ r = 0.57, p <0.001). Two IQ models were developed in the Bethel cohort (n = 258) and externally validated in the Utrecht cohort (n = 102). For DQ, we developed the model in the Bethel cohort and used 10-fold cross-validation. Models allowed good prediction at all 3 cutoff levels (correct classification for IQ ≥85 = 86%, IQ ≥70 = 91%, DQ ≥50 = 76%). External validation of the IQ models showed high accuracy (IQ ≥85 0.82, confidence interval [CI] 0.75-0.91; IQ ≥70 0.84, CI 0.77-0.92) and excellent discrimination (receiver operating characteristic curves IQ ≥85 area under the curve [AUC] 0.90, CI 0.84-0.96; IQ ≥70 AUC 0.92, CI 0.87-0.97).

DISCUSSION:

After epilepsy surgery in children, the risk of cognitive deterioration is very low. Presurgical development has a strong effect on the postoperative trajectory. The presented models can improve presurgical counseling of patients and parents by reliably predicting cognitive outcomes. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that for children undergoing epilepsy surgery presurgical IQ/DQ was the strongest predictor of postoperative cognition.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cognition Disorders / Epilepsy Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Neurology Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cognition Disorders / Epilepsy Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans Language: En Journal: Neurology Year: 2022 Document type: Article