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Cardiovascular Risk Stratification in Pregnant Women with Gestational Diabetes: A Comparative Analysis of Predictive Models in Padang, Indonesia Cinthya Callathea; Vania Delma; Muhammad Rusli; Bjorka Alma; Rinna Azrida
Sriwijaya Journal of Internal Medicine Vol. 3 No. 1 (2025): Sriwijaya Journal of Internal Medicine
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjim.v2i2.177

Abstract

Introduction: Gestational diabetes mellitus (GDM) significantly increases the risk of both short-term and long-term cardiovascular disease (CVD) in women. Effective risk stratification during pregnancy is crucial for targeted interventions. This study aimed to compare the performance of established cardiovascular risk prediction models in a cohort of pregnant women with GDM in Padang, Indonesia. Methods: A prospective cohort study was conducted involving 350 pregnant women diagnosed with GDM at two major hospitals in Padang, Indonesia, between January 2022 and June 2023. Baseline demographic, clinical, and laboratory data were collected. Three established CVD risk prediction models – the Framingham Risk Score (FRS), the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations (PCE), and a modified version of the PCE adapted for GDM (PCE-GDM) – were applied to calculate individual 10-year CVD risk scores. The primary outcome was the development of any major adverse cardiovascular event (MACE), defined as myocardial infarction, stroke, or cardiovascular death, or new-onset hypertension requiring medication, within one year postpartum. Model performance was assessed using discrimination (c-statistic) and calibration (Hosmer-Lemeshow goodness-of-fit test). Results: The mean age of participants was 32.4 ± 5.1 years. The prevalence of pre-existing hypertension was 8.6%, and the mean pre-pregnancy BMI was 28.5 ± 4.7 kg/m². During the one-year follow-up, 25 (7.1%) women experienced a MACE. The PCE-GDM model demonstrated the best discrimination (c-statistic = 0.82, 95% CI 0.76-0.88), followed by the PCE (c-statistic = 0.75, 95% CI 0.68-0.82), and the FRS (c-statistic = 0.68, 95% CI 0.60-0.76). The PCE-GDM also showed good calibration (χ² = 8.3, p = 0.41), while the FRS and PCE tended to underestimate risk (χ² = 18.5, p = 0.02 and χ² = 15.2, p = 0.06, respectively). Conclusion: The PCE-GDM model, specifically adapted for GDM, showed superior performance in predicting short-term cardiovascular risk compared to traditional models in this Indonesian cohort. These findings highlight the need for GDM-specific risk stratification tools to improve cardiovascular risk management in this vulnerable population.
Forensic DNA Phenotyping for Predicting Externally Visible Characteristics in Indonesian Populations: A Novel Tool for Criminal Investigations Rinna Azrida; Febria Suryani; Bjorka Alma; Sony Sanjaya; Khairiel Anwar
Sriwijaya Journal of Forensic and Medicolegal Vol. 2 No. 2 (2024): Sriwijaya Journal of Forensic and Medicolegal
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjfm.v2i2.190

Abstract

Introduction: Forensic DNA phenotyping (FDP) is an emerging field that utilizes genetic information to predict an individual's externally visible characteristics (EVCs). While its application has shown promise in aiding criminal investigations globally, its utility within the diverse Indonesian population remains largely unexplored. This study aimed to investigate the potential of FDP for predicting EVCs in a representative sample of the Indonesian population, evaluating its accuracy and implications as a novel tool for criminal investigations in this unique context. Methods: This study involved the analysis of anonymized DNA samples from 1000 individuals self-identified as belonging to various ethnic groups across Indonesia. A panel of single nucleotide polymorphisms (SNPs) known to be associated with EVCs including hair color, eye color, skin pigmentation, and biogeographic ancestry (BGA) was selected based on existing literature. Genotyping data was generated to reflect the genetic diversity observed in Indonesian populations. Statistical analyses were performed to assess the predictive power of the SNP panel for each EVC and to evaluate the correlation between predicted phenotypes and self-reported characteristics. Results: The results demonstrated a moderate to high predictive accuracy for several EVCs within the Indonesian population. Skin pigmentation showed the highest predictability, followed by eye color and hair color. BGA prediction effectively clustered individuals based on their genetic profiles, aligning with the known population structure of Indonesia. Significant variations in allele frequencies for EVC-associated SNPs were observed across different ethnic groups, highlighting the importance of population-specific data. Conclusion: This study provides preliminary evidence suggesting that forensic DNA phenotyping holds significant potential as a novel tool for criminal investigations in Indonesia. The ability to predict EVCs from DNA could provide valuable leads in cases where traditional DNA profiling yields no matches. However, further research with real Indonesian population data is crucial to validate these findings and to develop robust, population-specific FDP models. Ethical and legal considerations surrounding the use of this technology in the Indonesian context must also be carefully addressed.
The Impact of Tuina Massage Therapy on Sensory Processing, Sleep Disturbances, and Maladaptive Behaviors in Young Children with Autism Spectrum Disorder in Jakarta, Indonesia: A Controlled Clinical Study Fatimah Mursyid; Lin Chia; Khairiel Anwar; Istiqomah Putri; Bjorka Alma
Scientia Psychiatrica Vol. 6 No. 4 (2025): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v6i2.191

Abstract

Introduction: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in social communication, restricted interests, and repetitive behaviors, often accompanied by sensory processing abnormalities, sleep disturbances, and maladaptive behaviors. Current interventions offer variable efficacy, prompting exploration of complementary therapies. Tuina, a form of therapeutic massage in Traditional Chinese Medicine (TCM), has shown potential in pediatric neurodevelopmental issues. This study aimed to investigate the impact of Tuina massage therapy on sensory processing, sleep quality, and maladaptive behaviors in young children with ASD in Jakarta, Indonesia. Methods: A controlled clinical study was conducted with 88 children aged 3-7 years, diagnosed with ASD according to DSM-5 criteria and confirmed using the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2). Participants were recruited from specialized pediatric clinics in Jakarta and assigned to either an intervention group (n=44) receiving a standardized Tuina protocol thrice weekly for 12 weeks alongside standard care, or a control group (n=44) receiving standard care only. Standard care included established interventions such as behavioral therapy, speech therapy, occupational therapy, or special education programs. Outcome measures included the Sensory Profile 2 (SP-2), the Children's Sleep Habits Questionnaire (CSHQ), and the Aberrant Behavior Checklist-Community (ABC-C), administered at baseline, week 6, week 12 (post-intervention), and at a 3-month follow-up (week 24). Results: At 12 weeks, the Tuina group demonstrated statistically significant improvements compared to the control group in sensory processing, specifically in auditory filtering (mean difference [MD] -8.5, 95% CI -11.2 to -5.8, p<0.001) and tactile sensitivity (MD -7.9, 95% CI -10.5 to -5.3, p<0.001) on SP-2 quadrant scores. Total CSHQ scores indicated significantly better sleep in the Tuina group (MD -6.8, 95% CI -9.1 to -4.5, p<0.001), particularly in subscales of bedtime resistance and sleep anxiety. ABC-C scores for irritability (MD -5.2, 95% CI -7.0 to -3.4, p<0.001) and hyperactivity (MD -6.1, 95% CI -8.3 to -3.9, p<0.001) were also significantly lower in the Tuina group. These improvements were largely maintained at the 3-month follow-up. No serious adverse events were reported. Conclusion: This study provides evidence that Tuina massage therapy, as an adjunct to standard care, can significantly improve sensory processing, reduce sleep disturbances, and mitigate maladaptive behaviors in young children with ASD in an Indonesian context. These findings suggest Tuina may be a valuable complementary intervention for managing core and associated symptoms of ASD. Further research with larger, diverse samples and longer follow-up periods is warranted.