Application of Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) as Metabolic Syndrome prediction tools

BACKGROUND

Indian Diabetic Risk Score (IDRS) and Community Based Assessment Checklist (CBAC) are easy, inexpensive, and non-invasive tools that can be used to screen people for Metabolic Syndrome (Met S). The study aimed to explore the prediction abilities of IDRS and CBAC tools for Met S.

METHODS

All the people of age ≥30 years attending the selected rural health centers were screened for Met S. We used the International Diabetes Federation (IDF) criteria to diagnose the Met S. ROC curves were plotted by taking Met S as dependent variables, and IDRS and CBAC scores as independent/prediction variables. Sensitivity (SN), specificity (SP), Positive and Negative Predictive Value (PPV and NPV), Likelihood Ratio for positive and negative tests (LR+ and LR-), Accuracy, and Youden's index were calculated for different IDRS and CBAC scores cut-offs. Data were analyzed using SPSS v.23 and MedCalc v.20.111.

RESULTS

A total of 942 participants underwent the screening process. Out of them, 59 (6.4%, 95% CI: 4.90-8.12) were found to have Met S. Area Under the Curve (AUC) for IDRS in predicting Met S was 0.73 (95%CI: 0.67-0.79), with 76.3% (64.0%-85.3%) sensitivity and 54.6% (51.2%-57.8%) specificity at the cut-off of ≥60. For the CBAC score, AUC was 0.73 (95%CI: 0.66-0.79), with 84.7% (73.5%-91.7%) sensitivity and 48.8% (45.5%-52.1%) specificity at the cut-off of ≥4 (Youden's Index, 2.1). The AUCs of both parameters (IDRS and CBAC scores) were statistically significant. There was no significant difference (p = 0.833) in the AUCs of IDRS and CBAC [Difference between AUC = 0.00571].

CONCLUSION

The current study provides scientific evidence that both IDRS and CBAC have almost 73% prediction ability for Met S. Though CBAC holds relatively greater sensitivity (84.7%) than IDRS (76.3%), the difference in prediction abilities is not statistically significant. The prediction abilities of IDRS and CBAC found in this study are inadequate to qualify as Met S screening tools.

722Prevalence and predictors of internet addiction among college students in Jodhpur city, India

Background

Globally, the prevalence of internet addiction (IA) varies from 6% to 58% and emerging as a significant behavioural addiction pandemic often coexisting with psychological problems. This study was done to estimate the prevalence and predictors of internet addiction among undergraduate college students of Jodhpur city.

Methods

Cross sectional study was done among 2035 college students of Jodhpur city between August 2018-October 2019. The study tool consisted of self-administered questionnaire including socio-demographic details, Young’s internet addiction scale, Pittsburgh Sleep Quality Index (PSQI) and DASS 21scale. Univariate and multivariate analysis was done using SPSS v.23.

Results

The prevalence of internet addiction was 51.0% (95% CI:48.8%-53.2%). Depression, anxiety and stress were highly correlated (r > 0.7). Hence, 3 separate binary logistic regression models were constructed. The predictors of IA common among all 3 models were male sex, age ≥20 years, age at first internet use ≤15 years, urban origin, accessing internet at college, mobile internet use, preference to make online friendship and sleep disturbance. Staying in hostel or paying guest accommodation was predictor in model 2 and 3. Students who screened positive for Depression, anxiety and stress had higher odds of IA.

Conclusions

Nearly half of study participants were internet addicts. IA was associated with depression, anxiety, stress and sleep disturbance.

Key messages

The study highlights the need for screening and management of both internet addiction and associated mental health problems with special focus on males and those staying away from home.

Intussusception in Children Aged Less than Five years

OBJECTIVE

To enumerate the cases of intussusception in Chennai during 2012-2013, describe the clinical profile, outcomes of case management and highlight the importance of systematically collecting this data in lieu of rotavirus vaccine introduction in India.

METHODS

Medical records of pediatric intussusception cases admitted in eight large hospitals in Chennai from July 2012 through June 2013 were retrospectively reviewed. Demographic and clinical data including diagnostic and treatment practices were obtained. Cases were categorized based on the diagnostic certainty criteria stipulated by the Brighton collaboration on intussusception.

RESULTS

During the one year of study period, 205 cases of intussusception were diagnosed in 8 hospitals in Chennai city of India. The median age at presentation was 9 mo (Inter Quartile Range, IQR 6-14) with a male to female ratio of 1.8:1. The commonest site of intussusception was ileocolic (80.4 %). Most of the cases (59.8 %) were managed non-surgically. Direct surgical intervention was carried out in 26.5 % cases whereas in 11.8% of cases, surgery was required after failure of non-surgical measures. Median duration of hospital stay was 3 d (IQR 1-5).

CONCLUSIONS

This study documents the case burden of intussusception among children in Chennai in a calendar year. Data on receipt of rotavirus vaccine was not available. The authors recommend collection of rotavirus vaccine data among all cases of intussusception in the country, and do retrospective analysis in other parts of the country and prospective surveillance in pediatric / immunization clinics to assess impact of rotavirus vaccine on intussusception rates in the post rotavirus vaccine introduction scenario.

CYP2D6 genotype and phenotype relationship in South Indians

BACKGROUND

Genotypes of the drug-metabolizing enzyme CYP2D6 influence plasma levels of 25% of commonly prescribed drugs. This is the first study in India to investigate the genotype-phenotype relationship of CYP2D6.

AIM

To study the influence of some CYP2D6 genotypes on the metabolism of its substrate dextromethorphan in healthy South Indian volunteers and to assess the contribution of the CYP2D6*10 and CYP2D6*4 alleles.

MATERIALS AND METHODS

Twenty-six subjects from a previous CYP2D6 genotyping study of healthy volunteers were included for phenotyping in this study. Selected volunteers belonged to any one of three genotype groups:Group I - two normal activity alleles, Group II - one reduced activity allele and one normal activity allele and Group III - one loss of function allele along with either a wild type or reduced activity allele. Volunteers were phenotyped for the CYP2D6 enzyme using dextromethorphan as probe drug. Concentrations of the parent drug and metabolite dextrorphan were estimated using high performance liquid chromatography. Metabolic ratios were calculated as the ratio of parent drug to metabolite in 0-8h urine samples.

STATISTICAL ANALYSIS

Metabolic ratios from each genotype group were compared using the Mann-Whitney test at 5% significance, to observe their difference between genotype groups.

RESULTS

The mean metabolic ratios+/-SD in Groups I, II and III were 0.0039+/-0.0031, 0.0032+/-0.0017 and 0.0391+/-0.0331 respectively. The mean metabolic ratio of Group III was significantly higher when compared with Groups I or II. In heterozygous individuals, the *1 or *2 alleles compensated for the reduced enzyme activity due to the *10 allele. However, if a heterozygous individual had a *4 allele, the reduced enzyme activity could not be compensated by the *1 or *2 alleles.

CONCLUSIONS

The CYP2D6 enzyme activity was found to be decreased in individuals carrying *4 or *5 alleles. The *1 or *2 allele could compensate for the reduced function due to *10 allele, but not for the loss of function due to *4 allele.