Psychometrics and utility of Psycho-Educational Profile-Revised as a developmental quotient measure among children with the dual disability of intellectual disability and autism.

There is no agreement about the measure to quantify the intellectual/developmental level in children with the dual disability of intellectual disability and autism. Therefore, we studied the psychometric properties and utility of Psycho-Educational Profile-Revised (PEP-R) as a developmental test in this population. We identified 116 children with dual disability from the day care and inpatient database of a specialised Autism Clinic. Scale and domain level scores of PEP-R were collected and analyzed. We examined the internal consistency, domain-total correlation of PEP-R and concurrent validity of PEP-R against Gesell's Developmental Schedule, inter-rater and test-retest reliability and utility of PEP-R among children with dual disability in different ages, functional level and severity of autism. Besides the adequate face and content validity, PEP-R demonstrates a good internal consistency (Cronbach's α ranging from 0.91 to 0.93) and domain-total correlation (ranging from 0.75 to 0.90). The inter-rater reliability (intraclass correlation coefficient, ICC = 0.96) and test-retest reliability (ICC = 0.87) for PEP-R is good. There is moderate-to-high concurrent validity with GDS (r ranging from 0.61 to 0.82; all Ps = 0.001). The utility of PEP-R as a developmental measure was good with infants, toddlers, pre-school and primary school children. The ability of PEP-R to measure the developmental age was good, irrespective of the severity of autism but was better with high-functioning children. The PEP-R as an intellectual/developmental test has strong psychometric properties in children with dual disability. It could be used in children with different age groups and severity of autism. PEP-R should be used with caution as a developmental test in children with dual disability who are low functioning.

Pediatric Anesthesia Emergence Delirium Scale: A diagnostic meta-analysis.

BACKGROUND: Emergence delirium (EmD) is a troublesome motoric, emotional, and cognitive disturbance associated with morbidity. It is often misdiagnosed despite being present in a substantial proportion of children and adolescents during emergence from anesthesia. AIM: To evaluate the summary diagnostic accuracy of Pediatric Anesthesia Emergence Delirium Scale (PAEDS) for EmD among children and adolescents. METHODS: Two researchers electronically and hand searched the published literature from May 2004 to February 2021 that evaluated the diagnostic accuracy of PAEDS for EmD among children and adolescents, using appropriate terms. Two independent researchers extracted the diagnostic parameters and appraised the study quality with QUADAS-2. Overall, the diagnostic accuracy of the measures was calculated with the summary receiver operating characteristic curve (SROC), the summary sensitivity and specificity, and diagnostic odds ratio (DOR) for EmD. Various diagnostic cut-off points were evaluated for their diagnostic accuracy. Heterogeneity was analyzed by meta-regression. RESULTS: Nine diagnostic accuracy studies of EmD that conformed to our selection criteria and PRISMA guidelines were included in the final analysis. There was no publication bias. The area under the SROC was 0.97 (95% confidence interval [CI]: 95%-98%). Summary sensitivity and specificity were 0.91 (95%CI: 0.81-0.96; I 2 = 92.93%) and 0.94 (95%CI: 0.89-0.97; I 2 = 87.44%), respectively. The summary DOR was 148.33 (95%CI: 48.32-455.32). The effect size for the subgroup analysis of PAEDS cut-off scores of < 10, ≥ 10, and ≥ 12 was 3.73, 2.19, and 2.93, respectively; they were not statistically significantly different. The setting of the study and reference standard were statistically significantly related to the sensitivity of PAEDS but not specificity. CONCLUSION: The PAEDS is an accurate diagnostic measure for the diagnosis of EmD among children and adolescents. Further studies should document its clinical utility.

Prevalence of intellectual disability in India: A meta-analysis.

BACKGROUND: Burden due to intellectual disability (ID) is only third to the depressive disorders and anxiety disorders in India. This national burden significantly contributes to the global burden of ID and hence one has to think globally and act locally to reduce this burden. At its best the collective prevalence of ID is in the form of narrative reviews. There is an urgent need to document the summary prevalence of ID to enhance further policymaking, national programs and resource allocation. AIM: To establish the summary prevalence of ID during the past 60 years in India. METHODS: Two researchers independently and electronically searched PubMed, Scopus, and the Cochrane library from January 1961 to December 2020 using appropriate search terms. Two other investigators extracted the study design, setting, participant characteristics, and measures used to identify ID. Two other researchers appraised the quality of the studies using the Joanna Briggs Institute critical appraisal format for Prevalence Studies. Funnel plot and Egger's regression test were used to ascertain the publication and small study effect on the prevalence. To evaluate the summary prevalence of ID, we used the random effects model with arcsine square-root transformation. Heterogeneity of I 2 ≥ 50% was considered substantial and we determined the heterogeneity with meta-regression. The analyses were performed using STATA (version 16). RESULTS: Nineteen studies were included in the meta-analysis. There was publication bias; the trim-and-fill method was used to further ascertain bias. Concerns with control of confounders and the reliable measure of outcome were noted in the critical appraisal. The summary prevalence of ID was 2% [(95%CI: 2%, 3%); I 2 = 98%] and the adjusted summary prevalence was 1.4%. Meta-regression demonstrated that age of the participants was statistically significantly related to the prevalence; other factors did not influence the prevalence or heterogeneity. CONCLUSION: The summary prevalence of ID in India was established to be 2% taking into consideration the individual prevalence studies over the last six decades. This knowledge should improve the existing disability and mental health policies, national programs and service delivery to reduce the national and global burden associated with ID.

CDC Kerala 10: Diagnostic accuracy of the severity scores for childhood autism rating scale in India.

OBJECTIVE: To document the diagnostic accuracy of the Childhood Autism Scale (CARS) thresholds to identify mild, moderate and severe autism in India. METHODS: The CARS scores of 623 children, with and without autism were compared against the Diagnostic and Statistical Manual for Mental Disorders 4th edition (DSM-IV-TR) for ASD diagnosis and clinical consensus between two developmental paediatricians as the reference standard for autism severity using the Receiver operating characteristics (ROC) curve analyses and contingency tables. RESULTS: The CARS total score for mild, moderate and severe autism ranged from 30.5 to 35, 35.5-40 and ≥40.5 respectively in this study. The overall diagnostic accuracy of CARS total score in the mild range was moderate [AUC = 0.68 (95%CI = 0.62-0.88), z = 1.34; P = 0.18], moderate range was high [AUC = 0.90 (95%CI = 0.77-0.97), z = 8.62; P = 0.0001] and severe range was also high [AUC = 0.85 (95%CI = 0.77-0.90), z = 7.09; P = 0.0001]. CONCLUSIONS: There are validated severity scores for Childhood Autism Rating Scale for clinical and research use in India.

ADad 5: the co-morbidity in Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVE: Anxiety Disorders (AD) have been known to have high prevalence of intra-AD and extra-AD co-morbidities. This study documents the prevalence and profile of intra and extra-AD co-morbidities, the effect of the presence and number of co-morbidities on the severity of anxiety symptoms and the influence of age as well as gender on the co-morbidity. METHODS: In a prospective community survey of 500 adolescents, independent raters administered the Screen for Child Anxiety Related Emotional Disorders (SCARED) and Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime Version (K-SADS-PL) to collect the required data. Descriptive statistics, independent t tests, one-way ANOVA and Chi-square tests were done to evaluate the prevalence and profile of co-morbidity presentation, compare the effect of co-morbidity on severity of anxiety symptoms as well as analyse the influence of age groups and gender on intra-AD co-morbidities. RESULTS: Among those with AD, 14.2% had a DSM-IV-TR intra-AD co-morbidity and 70% had SCARED based intra-AD co-morbidity. Adolescents with Separation Anxiety Disorder and Generalised Anxiety Disorder had the highest SCARED and DSM-IV-TR prevalence of intra-AD co-morbidity respectively. Also, 23.7% had overlapping extra-AD co-morbidity. Presence and number of intra-AD co-morbidity was significantly associated with severity of total anxiety score and subscale scores (all with P = 0.001). Age and gender of adolescents were not related to the co-morbidity. CONCLUSIONS: Intra and extra-AD co-morbidities are quite prevalent among adolescents with Anxiety Disorders in India. As such, co-morbidities increase the severity of anxiety symptoms, they should be identified and appropriate management should be established.

ADad 7: Relationship between depression and Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVES: Anxiety Disorders (AD) often co-exist with the heterotypic co-morbidity of Major Depressive Disorder (MDD) and Dysthymia (DysD). This study documents the prevalence of concurrent Depressive Disorder and its subtypes among AD, relationship between specific AD and Depressive Disorders, influence of severity of Depressive Disorders (DD) on AD and vice-versa, as well as the effect of age and gender on this co-morbidity. METHODS: In a prospective community survey of 500 adolescents, independent raters administered the Screen for Child Anxiety Related Emotional Disorders, Beck Depression Inventory and Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime Version to collect the required data. Descriptive statistics, Independent t tests and Chi-square tests were done to evaluate the prevalence of concurrent Depressive Disorders among AD, relationship between specific AD and Depressive Disorders, severity of DD, and effect of age and gender on this co-morbidity. RESULTS: Depressive Disorders were concurrently present in 23.7% of adolescents with AD, while 13.9% had concurrently only MDD, 8.3% had only DysD and 1.5% had both. More adolescents with AD had multiple mood disorders than otherwise. Twenty percent of adolescents with Panic Disorder, 12.1% with Generalised anxiety Disorder, 5.3% with Separation Anxiety Disorder and 12% with Social Anxiety Disorder had Depressive Disorders. Dysthymic disorder was statistically significantly more among those with PD (P = 0.009). Depressive Disorders were more severe among those with AD (P = 0.001) and the AD was more severe in those with DD (P = 0.01). As the severity of AD increased the severity of the DD also increased (P = 0.001). While DD were more prevalent among the late adolescence (P = 0.001), gender did not have any influence. CONCLUSIONS: The two-way overlap between AD and DD is prevalent. Adolescents with Anxiety Disorders should be screened for Depressive Disorders, and when present should be treated.

ADad 8: School Phobia and Anxiety Disorders among adolescents in a rural community population in India.

OBJECTIVE: School Phobia (SP), although is not a formal psychiatric diagnosis, is widely prevalent debilitating phenomenon with a gamut of underlying psychiatric conditions in an overwhelming majority of cases. This study documents the prevalence, symptom presentation and the relationship between the various subtypes of Anxiety Disorders (AD) and School Phobia. METHODS: In a prospective community survey of 500 adolescents, independent raters administered the Screen for Child Anxiety Related Emotional Disorders and Schedule for Affective Disorders and Schizophrenia for School-Age Children/Present and Lifetime to identify SP and subtype of AD respectively. Descriptive statistics for the prevalence and symptom presentation, Spearman's Correlation test, Independent t tests, on-way ANOVA and Chi-square tests were done to compare the prevalence and severity of School Phobia among various age groups and gender. Univariate and multivariate analyses were done for documenting the relationship between the School Phobia and Anxiety Disorders. RESULTS: School Phobia was noted in 4.8% of adolescents. Although age was related to SP, gender, school grade the adolescent was attending and family structure were not related to SP. Somatic symptoms were more often noted than cognitive-emotional symptoms among adolescents with SP. Panic Disorder (OR = 8.62), Social Anxiety Disorder (OR = 8.63), and Separation Anxiety Disorder (OR = 6.26), were significantly related to SP. CONCLUSIONS: School Phobia is noted in a significant proportion of adolescents in the community. Anxiety Disorder is a major underlying factor resulting in SP. Community and clinical intervention and service models should include anxiety alleviation methods in adolescents with School Phobia.

Diagnostic accuracy, reliability and validity of Childhood Autism Rating Scale in India.

BACKGROUND: Since there is no established measure for autism in India, we evaluated the diagnostic accuracy, reliability and validity of Childhood Autism Rating Scale (CARS). METHODS: Children and adolescents suspected of having autism were identified from the unit's database. Scale and item level scores of CARS were collected and analyzed. Sensitivity, specificity, likelihood ratios and predictive values for various CARS cut-off scores were calculated. Test-retest reliability and inter-rater reliability of CARS were examined. The dichotomized CARS score was correlated with the ICD-10 clinical diagnosis of autism to establish the criterion validity of CARS as a measure of autism. Convergent and divergent validity was calculated. The factor structure of CARS was demonstrated by principal components analysis. RESULTS: A CARS score of > or =33 (sensitivity = 81.4%, specificity = 78.6%; area under the curve = 81%) was suggested for diagnostic use in Indian populations. The inter-rater reliability (ICC=0.74) and test-retest reliability (ICC=0.81) for CARS were good. Besides the adequate face and content validity, CARS demonstrated good internal consistency (Cronbach's alpha=0.79) and item-total correlation. There was moderate convergent validity with Binet-Kamat Test of Intelligence or Gessell's Developmental Schedule (r=0.42; P=0.01), divergent validity (r=-0.18; P=0.4) with ADD-H Comprehensive Teacher Rating Scale, and high concordance rate with the reference standard, ICD-10 diagnosis (82.52%; Cohen's kappa=0.40, P=0.001) in classifying autism. A 5-factor structure explained 65.34% of variance. CONCLUSION: The CARS has strong psychometric properties and is now available for clinical and research work in India.