Neurobehavioral Outcomes of Children with Antenatal Exposure to Antiseizure Medications.

OBJECTIVES: To evaluate the effect of antiepileptic medications prescribed to mothers during pregnancy on the development and behavior of children. METHODS: From the Kerala Registry of Epilepsy and Pregnancy, 98 children between the ages of 1½ to 2½ y were consecutively chosen. Children of mothers who did not have epilepsy during pregnancy and not exposed to antiseizure medications (ASMs) antenatally were selected as comparator group. Developmental assessment of the children was performed using Developmental Assessment Scale for Indian Infants (DASII) and Receptive-Expressive Emergent Language Scale (REELS). Behavior outcomes were assessed using Child Behavior Checklist. RESULTS: A significant delay in expressive language skills was seen in children exposed to antiseizure medication with an odds ratio of 2.539 (95% CI 1.10, 5.85, P = 0.026). A delay in expressive language skills was seen in polytherapy with clobazam (odds ratio 6.83; 95% CI 2.17, 21.56, P < 0.001). Also, delay was seen in receptive language skills in the same polytherapy group (odds ratio of 7.333; 95% CI 2.16, 24.92, P < 0.001). There were no statistically significant differences between study and comparative groups in motor and mental quotient domains and behavioral outcomes. CONCLUSIONS: The finding of speech delay in children exposed to ASMs is significant since individuals with a history of childhood speech or language disorders may experience long-term difficulties in mental health, social well-being, and academic outcomes.

Prevalence of Specific Learning Disorders (SLD) Among Children in India: A Systematic Review and Meta-Analysis.

Background: Specific learning disorders (SLD) comprise varied conditions with ongoing problems in one of the three areas of educational skills-reading, writing, and arithmetic-which are essential for the learning process. There is a dearth of systematic reviews focused exclusively on the prevalence of SLD in India. Hence, this study was done to estimate the prevalence of SLD in Indian children. Methods: A systematic search of electronic databases of MEDLINE, Embase, PsycINFO, and CINAHL was conducted. Two authors independently assessed the eligibility of the full-text articles. The third author reassessed all selected studies. A standardized data extraction form was developed and piloted. The pooled prevalence of SLDs was estimated from the reported prevalence of eligible studies, using the random-effects model. Results: Six studies of the systematic review included the diagnostic screening of 8133 children. The random-effects meta-analysis showed that the overall pooled prevalence of SLD in India was 8% (95% CI = 4-11). The tools used to diagnose SLD in the studies were the National Institute of Mental Health and Neurosciences (NIMHANS)-SLD index and the Grade Level Assessment Device (GLAD). Conclusions: Nearly 8% of children up to 19 years have SLD. There are only a few high-quality, methodologically sound, population-based epidemiological studies on this topic. There is a pressing need to have large population-based surveys in India, using appropriate screening and diagnostic tools. Constructing standardized assessment tools, keeping in view the diversity of Indian culture, is also necessary.

Determinants of very low birth weight in India: The National Family Health Survey - 4.

Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India based on the National Family Health Survey - 4 (NHFS-4). Methods Data from the NFHS 4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant-mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight<1500 g) or LBW (birth weight <2500 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15-1.60), among mothers aged 13-19 years (aOR: 1.58, 95% CI: 1.22-2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34-1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31-1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29-1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70-30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02-1.15 and primary education; aOR: 1.16, 95% CI: 1.08-1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03-1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03-1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.

A Nine-Item Red Flag Sign Card for Identification of Autism Spectrum Disorder among Toddlers Aged 12 to 18 Months.

There is a dearth of validated red flags measures for early identification of autism spectrum disorder (ASD) among toddlers. Hence, a new screening measure was developed. Item generation was done through literature search. Content validity (CVI) assessment was done. Criterion validity was done using Diagnostic and Statistical Manual 5 (DSM-5) as reference standard, data were collected from the case records of children with ASD diagnosis at 2 y, and evaluated for developmental milestones between 12 and 18 mo in a tertiary care setting. Item reduction of the measure from 18 to 9 was done. The area under the curve in the receiver operating characteristic (ROC) curve for new measure was 0.81 (95% CI = 0.73, 0.87); z = 7.874; p < 0.001 against DSM-5 score of ≥ 2 in the new measure; achieved sensitivity of 93.42% (95% CI = 85.3, 97.8) and specificity of 60% (95% CI = 45.9, 73.0). Thus, new validated red flag sign card (Concern-9) can be used effectively for early screening and identification of ASD among children aged 12-18 mo.

Incidence of type 2 diabetes mellitus and prediabetes in Kerala, India: results from a 10-year prospective cohort.

BACKGROUND: Kerala, the southern state of India, has experienced sudden rise in the prevalence estimates of diabetes. A cohort study on the incidence of type 2 diabetes mellitus (T2DM) in Kerala state thus aptly bridges the lacuna of incidence estimate of T2DM from a population at risk. METHODS: A 10-year prospective cohort study was carried out in two urban wards of central Kerala. The individuals who participated in the baseline survey in 2007 were again invited for a follow-up study in 2017. The data was analyzed using IBM SPSS Statistics for windows (version 21.0). Logistic regression analysis was used to estimate odds ratios and 95% confidence intervals. Findings are based on the 10-year follow-up data from 869 participants from the cohort. RESULTS: The overall follow-up and response rate of the study was 68.9 and 86.9% respectively. During the follow-up period, 190 people (21.9%) developed T2DM. The incidence rate of T2DM and impaired fasting glucose (IFG) were 24.5 per 1000 person years and 45.01 per 1000 person years respectively. Nearly 60% of participants with baseline IFG were converted to T2DM group in the follow-up period. Age > 45 years, family history of T2DM, BMI ≥ 25 kg/m2 and presence of central obesity emerged as important risk factors for incident T2DM. CONCLUSION: High incidence of prediabetes over diabetes observed in this study shows an epidemic trend of T2DM in Kerala, India. It requires an immediate public health action.