The value of cardiac MRI versus echocardiography in the pre-operative assessment of patients with Duchenne muscular dystrophy.

BACKGROUND/PURPOSE: Duchenne Mmuscular Ddystrophy (DMD) related cardiomyopathy is associated with significant perioperative mortality. Cardiac MRI (CMR) has not previously been systematically evaluated as pre-operative assessment tool for heart function in DMD. Our aim was to establish whether CMR versus echocardiography contributes to pre-operative DMD assessment. METHODS: Case records were retrospectively reviewed of 35 consecutive DMD boys who underwent evaluation for surgical procedures between 2010 and 2013. RESULTS: Echocardiography revealed a median left ventricular (LV) shortening fraction (SF) of 29/% (range: 7-44). 37% of boys (13/35) had abnormal SF <25%, 66% (23/35) showed hypokinesia and 26% (9/35) had LV dilatation. CMR revealed a median left ventricular ejection fraction (LVEF) of 52% (range: 27-67%). 57% of boys (20/35) had abnormal LVEF <55%, 71% (25/35) had hypokinesia, and 82% late gadolinium enhancement. Extensive versus minimal late gadolinium enhancement was associated with reduced left ventricular ejection fraction (48% vs 58%; p = 0.003) suggesting more severe cardiomyopathy. Although echocardiography shortening fraction correlated with CMR ejection fraction (rs = 0.67; p < 0.001), three-quarter of echocardiography studies had suboptimal scanning windows and in 26% measurements significantly over- or underestimated left-ventricular function compared to CMR. CONCLUSION: Our findings clearly demonstrate the added value of CMR versus echocardiography in assessing DMD-cardiomyopathy. Particularly when echocardiographic scanning windows are suboptimal, CMR should be considered to allow accurate pre-operative cardiac assessment.

Prognostic, clinical and demographic features in SCN1A mutation-positive Dravet syndrome.

Dravet syndrome is a severe infantile onset epileptic encephalopathy associated with mutations in the sodium channel alpha 1 subunit gene SCN1A. To date no large studies have systematically examined the prognostic, clinical and demographic features of the disease. We prospectively collected data on a UK cohort of individuals with Dravet syndrome during a 5-year study period and analysed demographic information based on UK population and birth figures. From structured referral data we examined a range of clinical characteristics including epilepsy phenotype, seizure precipitants, electroencephalography data, imaging studies, mutation class and response to medication. Predictors of developmental outcome were determined by logistic regression. We identified 241 cases with SCN1A mutation-positive Dravet syndrome, 207 of which were UK-based. The incidence of mutation-positive Dravet syndrome is at least 1:40 900 UK births. Clinical features predicting a worse developmental outcome included status epilepticus (odds ratio = 3.1; confidence interval = 1.5-6.3; P = 0.003), interictal electroencephalography abnormalities in the first year of life (odds ratio = 5.7; confidence interval = 1.9-16.8; P = 0.002) and motor disorder (odds ratio = 3.3; confidence interval = 1.7-6.4; P < 0.001). No significant effect was seen for seizure precipitants, magnetic resonance imaging abnormalities or mutation class (truncating versus missense). Abnormal magnetic resonance imaging was documented in 11% of cases, principally with findings of non-specific brain atrophy or hippocampal changes. Sodium valproate, benzodiazepines and topiramate were reported as being the most helpful medications at the time of referral. Aggravation of seizures was reported for carbamazepine and lamotrigine. The identification of factors influencing prognosis both aids counselling and encourages early, syndrome-specific therapy. Prevention of status epilepticus with regular medication and emergency protocols is important and may influence developmental outcome.

Genotype-phenotype associations in SCN1A-related epilepsies.

OBJECTIVE: Most mutations in SCN1A-related epilepsies are novel and when an infant presents with febrile seizures (FS) it is uncertain if they will have simple FS, FS+, or develop a severe epilepsy such as Dravet syndrome. Our objective was to examine whether the nature of a SCN1A mutation affects the epilepsy phenotype. METHODS: We retrospectively evaluated clinical and genetic data from 273 individuals with SCN1A mutations identified in our laboratory and reviewed data from 546 published cases. We examined whether the mutation class or distribution or nature of amino acid substitution correlated with the epilepsy phenotype, using the Grantham Score (GS) as a measure of physicochemical difference between amino acids. RESULTS: Compared to missense mutations, truncating mutations were associated with earlier mean onset of prolonged seizures (7.4 vs 8.8 months; p = 0.040), myoclonic seizures (16.4 vs 19.4 months; p = 0.041), and atypical absence seizures (19.1 vs 30.6 months; p = 0.001). The median GS was higher in patients with Dravet syndrome compared to polymorphisms (94 vs 58; p = 0.029) and orthologs (94 vs 45; p < 0.001). A high GS was correlated with early onset of seizures (r(s) = -0.235; p = 0.008). Missense mutations occurred most frequently in the voltage and ion-pore regions where changes in amino acid polarity were greater in the Dravet group compared to the genetic epilepsy with febrile seizures plus group (3.6 vs 2.7; p = 0.031). CONCLUSIONS: These findings help define the clinical significance of specific SCN1A mutations based on mutation class and amino acid property and location.