Rheina Weisch Fedre
Department of Public Health, CMHC Research Center, Palembang, Indonesia

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Efficacy of a Specialist Tele-Mentoring Triage System on Severe Maternal Morbidity and Mortality in High-Risk Pregnancies: A Stepped-Wedge Cluster Randomized Trial Muhammad Yoshandi; Rheina Weisch Fedre; Desiree Montesinos
Sriwijaya Journal of Obstetrics and Gynecology Vol. 3 No. 2 (2025): Sriwijaya Journal of Obstetrics & Gynecology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjog.v3i2.280

Abstract

Introduction: Maternal deaths in low- and middle-income settings are driven largely by delays in recognising and treating obstetric emergencies at the primary-care frontline. Real-time specialist tele-mentoring may compress these delays, yet trial evidence on hard maternal and neonatal endpoints remains scarce in Indonesia. We evaluated whether a specialist tele-mentoring triage system reduces severe maternal morbidity and mortality in high-risk pregnancies. Methods: In a closed-cohort stepped-wedge cluster randomized trial, ten primary-to-referral facility clusters across two Indonesian metropolitan regions sequentially crossed from conventional referral to a 24/7 tele-mentoring triage system (audiovisual specialist consultation, portable cardiotocography/vital-sign telemetry, and a Maternal Early Warning Score [MEWS] algorithm) over six two-month periods. The primary outcome was a composite of maternal death and WHO-defined severe maternal morbidity. Intention-to-treat analysis used generalized linear mixed models adjusting for secular trend and cluster random effect. Results: Among 1,858 high-risk women, the composite outcome fell from 7.97% (95% CI 6.39–9.88) during control person-time to 4.41% (95% CI 3.27–5.93) during tele-mentoring (adjusted OR 0.51, 95% CI 0.36–0.73, p<0.001; absolute risk reduction 3.55%; number-needed-to-treat 28). Door-to-treatment time shortened by 85.6 minutes (Cohen's d 1.77, p<0.001). MEWS discriminated the composite outcome well (AUC 0.84, 95% CI 0.80–0.88). NICU admission (OR 0.66, NNT 19, p=0.003) and 5-minute Apgar <7 (OR 0.58, p=0.002) also improved. Conclusion: A specialist tele-mentoring triage system roughly halved the odds of severe maternal morbidity and mortality in high-risk pregnancies and improved neonatal outcomes. Scaling specialist-guided digital triage could meaningfully strengthen obstetric emergency referral in Indonesia.
Metatranscriptomic Profiling of the Subgingival Microbiome in Peri-implantitis versus Healthy Implants: Identifying Key Dysbiotic Pathways Rheina Weisch Fedre; Ramakhrisnand Ramakhrisnand; Firman Hadi; Mahmood Abbas
Crown: Journal of Dentistry and Health Research Vol. 3 No. 1 (2025): Crown: Journal of Dentistry and Health Research
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/crown.v3i1.237

Abstract

Introduction: Peri-implantitis is a primary cause of dental implant failure, characterized by inflammatory destruction of supporting tissues. While microbial dysbiosis is implicated, the functional activities of the subgingival microbiome that drive disease pathogenesis remain poorly understood. This study aimed to elucidate the key functional and metabolic shifts in the subgingival microbiome associated with peri-implantitis using metatranscriptomic analysis. Methods: This cross-sectional study involved twenty patients, ten with healthy implants (HI) and ten diagnosed with peri-implantitis (PI). Subgingival biofilm samples were collected from the deepest peri-implant sulcus of each subject. Total RNA was extracted, followed by library preparation and sequencing on an Illumina NovaSeq platform. Bioinformatic analysis included quality control, taxonomic profiling using Kraken2, and functional annotation against the KEGG and Gene Ontology databases. Differential gene expression analysis was performed using DESeq2 to identify microbial transcriptional signatures distinguishing the PI and HI groups. Results: The metatranscriptome of the PI group exhibited significantly higher microbial diversity and a distinct taxonomic composition, with a notable enrichment of transcripts from species such as Porphyrononas gingivalis, Tannerella forsythia, and Fusobacterium nucleatum. In contrast, the HI group was dominated by transcripts from commensal streptococci. Functional analysis revealed a significant upregulation of pathways related to bacterial virulence, including lipopolysaccharide (LPS) biosynthesis, bacterial secretion systems (Type IV), and iron acquisition in the PI group. Furthermore, pathways associated with amino acid metabolism, particularly arginine and tryptophan degradation, were highly active, suggesting a proteolytic environment. Conversely, the HI metatranscriptome showed enrichment in carbohydrate metabolism and fermentation pathways. Conclusions: The subgingival microbiome in peri-implantitis is not only taxonomically distinct but also functionally primed for pathogenicity. The active transcription of genes related to virulence, inflammation induction, and proteolytic metabolism highlights the key dysbiotic pathways that likely contribute to tissue destruction. These findings provide a deeper understanding of the functional gene expression profile in peri-implantitis and suggest potential targets for future diagnostic and therapeutic strategies aimed at modulating microbial activity rather than merely eliminating specific taxa.