IQ predictors in pediatric opsoclonus myoclonus syndrome: a large international cohort study.

Sheridan, Andrew; Kapur, Kush; Pinard, Ferne; Dietrich Alber, Fabienne; Camposano, Susana; Pike, Mike G; Klein, Andrea; Gorman, Mark P (2020). IQ predictors in pediatric opsoclonus myoclonus syndrome: a large international cohort study. Developmental medicine and child neurology, 62(12), pp. 1444-1449. Wiley 10.1111/dmcn.14628

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AIM

To determine predictors of full-scale IQ (FSIQ) in an international pediatric opsoclonus myoclonus syndrome (OMS) cohort.

METHOD

In this retrospective and prospective cohort study at three academic medical centers (2006-2013), the primary outcome measure, FSIQ, was categorized based on z-score: above average (≥+1), average (+1 to -1), mildly impaired (-1 to -2), and impaired (<-2). Univariate analysis and multivariable linear regression modeling using stepwise selection with Akaike's information criterion was performed to understand the relationship between exposures and FSIQ.

RESULTS

Of 81 participants, 37 with sufficient data had mean FSIQ 84.38 (SD 20.55) and median 90 (40-114) at latest available evaluation (mean age 8y 5mo). Twenty (54%), nine (24.3%), and eight (21.6%) had normal, mildly impaired, and impaired FSIQ respectively. The final multivariable linear regression model included 34 participants with evaluable data: number of relapses occurring before neuropsychological testing (p<0.001) and OMS severity score at last follow-up (p<0.001) predicted FSIQ (adjusted R2 =0.64). There was a mean decrease of 2.4 FSIQ points per OMS relapse.

INTERPRETATION

Number of relapses negatively correlates with FSIQ in pediatric OMS. Demographic and clinical measures available at OMS onset did not predict FSIQ. Strategies to reduce OMS relapses may improve intellectual outcomes.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Paediatric Medicine > Neuropaediatrics

UniBE Contributor:

Klein, Andrea Katharina

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1469-8749

Publisher:

Wiley

Language:

English

Submitter:

Karen Lidzba

Date Deposited:

21 Jan 2021 12:11

Last Modified:

21 Jan 2021 12:20

Publisher DOI:

10.1111/dmcn.14628

PubMed ID:

32696984

BORIS DOI:

10.7892/boris.145642

URI:

https://boris.unibe.ch/id/eprint/145642

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