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Clinical Trial
. 2020 Aug;88(2):396-406.
doi: 10.1002/ana.25797. Epub 2020 Jun 29.

Comparison of Core Features in Four Developmental Encephalopathies in the Rett Natural History Study

Affiliations
Clinical Trial

Comparison of Core Features in Four Developmental Encephalopathies in the Rett Natural History Study

Clare Cutri-French et al. Ann Neurol. 2020 Aug.

Abstract

Objective: Rett syndrome, CDKL5-deficiency disorder, FOXG1 disorder, and MECP2 duplication disorder are developmental encephalopathies with shared and distinct features. Although they are historically linked, no direct comparison has been performed. The first head-to-head comparison of clinical features in these conditions is presented.

Methods: Comprehensive clinical information was collected from 793 individuals enrolled in the Rett and Rett-Related Disorders Natural History Study. Clinical features including clinical severity, regression, and seizures were cross-sectionally compared between diagnoses to test the hypothesis that these are 4 distinct disorders.

Results: Distinct patterns of clinical severity, seizure onset age, and regression were present. Individuals with CDKL5-deficency disorder were the most severely affected and had the youngest age at seizure onset (2 months), whereas children with MECP2 duplication syndrome had the oldest median age at seizure onset (64 months) and lowest severity scores. Rett syndrome and FOGX1 were intermediate in both features. Smaller head circumference correlates with increased severity in all disorders and earlier age at seizure onset in MECP2 duplication syndrome. Developmental regression occurred in all Rett syndrome participants (median = 18 months) but only 23 to 34% of the other disorders. Seizure incidence prior to the baseline visit was highest for CDKL5 deficiency disorder (96.2%) and lowest for Rett syndrome (47.5%). Other clinical features including seizure types and frequency differed among groups.

Interpretation: Although these developmental encephalopathies share many clinical features, clear differences in severity, regression, and seizures warrant considering them as unique disorders. These results will aid in the development of disease-specific severity scales, precise therapeutics, and future clinical trials. ANN NEUROL 2020;88:396-406.

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Conflict of interest statement

Potential Conflicts of Interest

CCF, JS, DA, CG, AP, EDM, SP, JL, JN: Nothing to report

Figures

Figure 1:
Figure 1:. Clinical Severity for the Different DEs
(A) Boxplot of Clinical Severity Scale by diagnosis. Higher scores indicate greater severity. (B) Clinical Global Impression-Severity Scale. Degree of impairment is indicated in the key (normal, borderline impaired, mildly impaired, moderately impaired, markedly impaired, severely impaired, the most impaired).
Figure 2:
Figure 2:. Cumulative incidence of regression.
The Y axis represents one minus the cumulative survival score. Event time was defined as the age at onset of regression, or as the age at the baseline study visit if censored.
Figure 3:
Figure 3:. Seizures
(A) Cumulative incidence of seizures. The Y axis represents one minus the cumulative survival score. Event time was defined as the age of seizure onset, or as the age at the baseline visit if censored. (B) Reported seizure frequency. (C) Investigator impression of reported seizures.
Figure 4:
Figure 4:. Association of HC Z-Score and Clinical Severity
(A) Boxplot of HC Z-score by diagnosis (B) Clinical Severity Scale vs HC Z-score for T-RTT, with linear regression plotted in gray. Similar associations between HC and clinical severity were also observed for the other DEs (see Table 4).

References

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