Synchronous presentation of ETV6::RUNX1 fusion positive concordant B-acute lymphoblastic leukaemia in identical twin toddlers.

Concordant leukaemia in identical twins is rare. The likelihood of concordance of leukaemia in twins is near 100% in infancy, around 10% from 1 to 6 years of age, and rare at a later age with variable latency. Reporting of new cases of concordant leukaemia in twins is encouraged to contribute to data pool of this infrequent but exceptional condition; especially when the theories with respect to evolution, natural history and molecular evidence explaining concordant leukaemia in identical twins are still evolving.We discuss identical pair of monochorionic twin toddlers who were detected to have pallor and blood investigations revealed pancytopenia. Further work up including bone marrow studies revealed synchronous diagnosis of B-acute lymphoblastic leukaemia (B-ALL) with ETV6::RUNX1 fusion. Synchronous presentation of concordant leukaemia in identical twins is extremely rare. Index twins are the only second set of twins and first one beyond infantile age with synchronous presentation of B-ALL.

Improving the accuracy of epileptogenic zone localization in stereo EEG with machine learning algorithms.

The precise identification of the epileptogenic zone (EZ) is paramount in the presurgical evaluation of epilepsy patients to ensure successful surgical outcomes. The analysis of Stereo EEG, an instrumental tool for EZ localization, poses considerable challenges even for experienced epileptologists. Consequently, the development of machine learning (ML)-based computational tools for enhanced EZ localization is imperative. In this investigation, we developed ML models utilizing Stereo EEG from 15 patients, who remained seizure-free (Engel 1 a-d) following EZ resection, over an average follow-up period of 44.4 months. Utilizing Delphos and MNI detectors, spikes and High Frequency Oscillations (HFOs) were identified from Stereo EEG in Resected Zone (RZ) and non-Resected Zone (non-RZ). Linear and non-linear features were estimated from each modality using MATLAB. A total of 27,744 spikes, 7,790 ripples, and 7,632 fast ripples, along with their combinations, were employed to train the ML models. The Gradient Boosting classifier demonstrated the highest prediction accuracy of 98.5% for EZ localization in Mesial Temporal Lobe Epilepsy (MTLE) when trained with features derived from the spike-ripple combination. In the case of Neocortical Epilepsy (NE), the Extra Trees classifier achieved an accuracy of 87.6% when utilizing features from fast ripples. The Random Forest, Extra Trees, and Gradient Boosting algorithms were the most effective for predicting the RZ. Linear features outperformed non-linear features in predicting epileptogenic zones within the epileptic brain. Our study establishes the capability of ML methodologies in localizing epileptogenic zones with high accuracy. Future studies that focus on increasing the training sample size and incorporating more advanced machine learning (ML) algorithms have the potential to significantly improve the accuracy of these models in pinpointing epileptogenic networks. Additionally, implementing this ML approach across multiple research centers would contribute to the broader validation and generalizability of this technique.

Comorbidities in children with cerebral palsy: a single-centre cross-sectional hospital-based study from India.

OBJECTIVE: To describe the comorbidities in children with cerebral palsy (CP) and determine the characteristics associated with different impairments. DESIGN: Cross-sectional study. SETTING: Tertiary care referral centre in India. PATIENTS: Between April 2018 and May 2022, all children aged 2-18 years with a confirmed diagnosis of CP were enrolled by systematic random sampling. Data on antenatal, birth and postnatal risk factors, clinical evaluation and investigations (neuroimaging and genetic/metabolic workup) were recorded. MAIN OUTCOME MEASURES: Prevalence of the co-occurring impairments was determined using clinical evaluation or investigations as indicated. RESULTS: Of the 436 children screened, 384 participated (spastic CP=214 (55.7%) (spastic hemiplegic=52 (13.5%); spastic diplegia=70 (18.2%); spastic quadriplegia=92 (24%)), dyskinetic CP=58 (15.1%) and mixed CP=110 (28.6%)). A primary antenatal/perinatal/neonatal and postneonatal risk factor was identified in 32 (8.3%), 320 (83.3%) and 26 (6.8%) patients, respectively. Prevalent comorbidities (the test used) included visual impairment (clinical assessment and visual evoked potential)=357/383(93.2%), hearing impairment (brainstem-evoked response audiometry)=113 (30%), no understanding of any communication (MacArthur Communicative Development Inventory)=137 (36%), cognitive impairment (Vineland scale of social maturity)=341 (88.8%), severe gastrointestinal dysfunction (clinical evaluation/interview)=90 (23%), significant pain (non-communicating children's pain checklist)=230 (60%), epilepsy=245 (64%), drug-resistant epilepsy=163 (42.4%), sleep impairment (Children's Sleep Habits Questionnaire)=176/290(60.7%) and behavioural abnormalities (Childhood behaviour checklist)=165 (43%). Overall, hemiparetic and diplegic CP and Gross Motor Function Classification System ≤3 were predictive of lesser co-occurring impairment. CONCLUSION: CP children have a high burden of comorbidities, which increase with increasing functional impairment. This calls for urgent actions to prioritise opportunities to prevent risk factors associated with CP and organise existing resources to identify and manage co-occurring impairments. TRIAL REGISTRATION NUMBER: CTRI/2018/07/014819.

Impact of Cerebral Oxygen Saturation Monitoring on Short-term Neurodevelopmental Outcomes in Neonates with Encephalopathy - A Prospective Cohort Study.

BACKGROUND: Near-infrared spectroscopy (NIRS) has been used for monitoring cerebral oxygen saturation (rSO2) in neonates. There is a lack of data from low-middle income countries (LMIC) setting of cerebral rSO2 in neonates with encephalopathy of diverse etiologies. This study aimed to monitor cerebral rSO2 using NIRS in encephalopathic neonates to maintain the rSO2 between 55 to 85 % in the first 72 hours of admission to improve short-term neurodevelopmental outcomes (NDO). MATERIALS AND METHODS: This prospective cohort study enrolled encephalopathic neonates with hypoxic- ischemic encephalopathy (HIE) and non-HIE etiologies into 8 clinical categories. The cerebral rSO2 was monitored and targeted to be between 55 to 85 %, with predefined actions and management alterations over 72 hours. The neurodevelopmental assessment was conducted at 3, 6, and 9-12 months corrected age. Moreover, the motor and mental developmental quotients (MoDQ) (MeDQ) were recorded and compared to historical control. RESULTS: A total of 120 neonates were enrolled and assessed for NDO. The MoDQ (mean ± SD) was 92.55 ± 14.85, 93.80 ± 13.20, 91.02 ± 12.69 and MeDQ (mean ± SD) was 91.80 ± 12.98, 91.80 ± 13.69, 88.41 ± 11.60 at 3, 6 and 9-12 months. The MoDQ and MeDQ scores of the historic cohort at 12 months were 86.35 ± 20.34 and 86.58 ± 18.27. The mean difference [MD (95 %CI)] for MoDQ was - 4.670 (- 8.48 to - 0.85) (p=0.0165) and for MeDQ was - 1.83 (- 5.26 to 1.6) (p=0.29). There was a negative correlation between the composite developmental quotient (CoDQ) with mean rSO2 and a positive correlation with cerebral fractional tissue oxygen extraction (CFTOE). Neonates with HIE and neonatal encephalopathy (NE) (n=37/120) had the lowest motor and mental DQ on neurodevelopmental assessment. Clinical categories, neonatal meningitis (NM), and intraventricular hemorrhage (IVH) improved in DQ scores over the study period. CONCLUSION: Monitoring and maintaining cerebral rSO2 between 55-85 % through appropriate management changes improved neurodevelopmental scores at the 12-month follow-up in neonates with encephalopathy caused by varied etiologies.

Somatic mutations involving TSC 1 and TSC2 genes in two children with focal cortical dysplasia.

BACKGROUND: The role of PI3K/AKT/mTOR pathway hyperactivation in localized brain overgrowth is evolving. We describe two patients with focal cortical dysplasia (FCD) who demonstrated somatic mutations in TSC1 and TSC2 genes in the dysplastic brain tissue but not peripheral blood. METHODS: Paired whole-exome sequencing was performed on genomic DNA extracted from blood and excised brain tissue in two children with FCD who underwent excision of dysplastic tissue. RESULTS: Patient 1, a 14-year boy, had drug-resistant focal epilepsy with onset at 20 months. His brain MRI showed abnormalities suggestive of FCD in the left superior and middle frontal lobes. Patient 2 presented at the age of 10 years with pharmaco-resistant focal epilepsy (onset at six years). His MRI suggested FCD in the left insular lobe. Both patients underwent surgical excision of FCD, and excised tissues were pathologically confirmed to have type IIb FCD. For patient 1, a missense mutation (c.64C > T; p.Arg22Trp) was detected in the TSC1 gene in DNA of dysplastic brain tissue but not peripheral blood lymphocytes. Similarly, for patient 2, a frameshift mutation (c.4258_4261delCAGT; p.Ser1420GlyfsTer55) in the TSC2 gene was identified in the brain tissue but not blood. Both gene variants are likely pathogenic and cause mTOR pathway activation. CONCLUSION: Our report of TSC1/TSC2 somatic mutations in patients with non-syndromic FCD suggests that localized hyperactivation of the mTOR pathway can cause focal malformations during cortical development and presents pharmacological targets for precision therapy in FCD management.