Implementasi Model Prediksi Risiko Peripheral Artery Disease (PAD) berbasis Multi-Marker (ABI, Profil Lipid dan Biomarker Inflamasi) pada Komunitas Individu dengan Sindrom Metabolik di Desa Mojoanyar Mojokerto

Authors

  • Ima Rahmawati Universitas Bina Sehat PPNI Author
  • Regan Arethusa Prabowo Universitas bina sehat PPNI Author
  • Irmawati Ningsih Universita Bina Sehat PPNI Author

DOI:

https://doi.org/10.29082/jabdimas/2026/Vol2/Iss1/86

Keywords:

Ankle Brachial Index, Biomarker Inflamasi, Peripheral Artery Disease, Profil Lipid, Sindrom Metabolik

Abstract

Peripheral Artery Disease (PAD) merupakan komplikasi aterosklerosis yang sering tidak terdeteksi pada individu dengan sindrom metabolik sehingga memerlukan upaya deteksi dini berbasis komunitas. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pengetahuan masyarakat mengenai PAD, melaksanakan skrining risiko menggunakan pendekatan multi-marker yang meliputi Ankle Brachial Index (ABI), profil lipid, dan biomarker inflamasi, serta meningkatkan kapasitas kader kesehatan dalam deteksi dini PAD di Desa Mojoanyar, Kabupaten Mojokerto. Metode yang digunakan meliputi edukasi kesehatan, diskusi interaktif, pemeriksaan ABI, pemeriksaan laboratorium, pelatihan kader kesehatan, serta monitoring dan evaluasi. Kegiatan diikuti oleh 60 peserta dengan faktor risiko sindrom metabolik. Hasil menunjukkan peningkatan rata-rata skor pengetahuan dari 61,5 menjadi 88,7, sebanyak 38,3% peserta teridentifikasi memiliki nilai ABI abnormal, dan kader kesehatan mampu melakukan skrining serta edukasi secara mandiri. Program ini menghasilkan model prediksi risiko PAD berbasis multi-marker yang berpotensi mendukung deteksi dini dan pencegahan komplikasi vaskular di tingkat komunitas.

References

Alvitananda, A. A., Pramono, A., & Noer, E. R. (2026). The lipid accumulation product index as an alternative biomarker for early detection of metabolic syndrome: A narrative review. Jurnal Nutrition College, 15(2), 197-211.

American Diabetes Association. (2024). Standards of Care in Diabetes 2024. Diabetes Care, 47(Suppl. 1), S1-S321.

Bastable, S. B. (2021). Nurse as Educator: Principles of Teaching and Learning for Nursing Practice (6th ed.). Jones & Bartlett Learning.

Bektaş Uysal, H., Bayğın, H., Topan, E. D., & Yılmaz, M. (2026). Can the diagnosis of metabolic syndrome and the severity of the disease be determined with the help of inflammatory biomarkers? Metabolic Syndrome and Related Disorders. Advance online publication. https://doi.org/10.1177/15578518261443921

Bektaş Uysal, H., et al. (2026). Can the diagnosis of metabolic syndrome and disease severity be determined using inflammatory biomarkers? Metabolic Syndrome and Related Disorders.

Centers for Disease Control and Prevention. (2022). Framework for Program Evaluation in Public Health.

Centers for Disease Control and Prevention. (2022). Framework for Program Evaluation in Public Health.

Das, T., et al. (2025). European Society for Vascular Surgery Clinical Practice Guidelines on Peripheral Arterial Disease. European Journal of Vascular and Endovascular Surgery.

Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743-1748.

Gerhard-Herman, M. D., et al. (2024). Peripheral artery disease: Diagnosis and management update. Circulation.

Hamedi-Shahraki, S., Mercantepe, F., Amirkhizi, F., & Klisic, A. (2026). Clustering adipokines, metabolic, oxidative stress, and inflammatory markers associated with cardiovascular disease risk in patients with metabolic syndrome. Diabetology & Metabolic Syndrome, 18(1), 100. https://doi.org/10.1186/s13098-026-02140-0

Jeet, G., et al. (2021). Community health workers for non-communicable disease prevention and control in low- and middle-income countries: A systematic review. PLOS ONE, 16(12), e0260479.

Kementerian Kesehatan Republik Indonesia. (2022). Pedoman Pos Pembinaan Terpadu Penyakit Tidak Menular (Posbindu PTM).

Kolb, D. A. (2015). Experiential Learning: Experience as the Source of Learning and Development (2nd ed.). Pearson.

Monnerie, S., Comte, B., Ziegler, D., Morais, J. A., Pujos-Guillot, E., & Gaudreau, P. (2020). Metabolomic and lipidomic signatures of metabolic syndrome and its physiological components in adults: A systematic review. Scientific Reports, 10, 669. https://doi.org/10.1038/s41598-019-56909-7

Nutbeam, D., & Lloyd, J. E. (2021). Understanding and responding to health literacy as a social determinant of health. Annual Review of Public Health, 42, 159-173.

Samavarchi Tehrani, A., et al. (2024). Association between triglyceride-glucose index and peripheral artery disease: A systematic review and meta-analysis. Nutrition & Diabetes, 14, 80.

Samavarchi Tehrani, A., et al. (2024). Investigating the association between the triglyceride-glucose index and peripheral artery disease: A systematic review and meta-analysis. Nutrition & Diabetes, 14, 80.

Tudurachi, A., et al. (2026). Role of inflammatory biomarkers in peripheral arterial disease: Prognostic and therapeutic implications. Journal of Clinical Medicine.

Tzoulaki, I., et al. (2025). Current prognostic biomarkers for peripheral arterial disease: A comprehensive systematic review of the literature. Journal of Clinical Medicine.

Van Haelst, S. T. W., et al. (2020). Plasma biomarkers to predict cardiovascular outcome in patients with peripheral artery disease: A systematic review and meta-analysis. Arteriosclerosis, Thrombosis, and Vascular Biology, 40(9), 2018-2032.

Vancheri, F., et al. (2024). Cardiovascular-kidney-metabolic syndrome: An integrative review. Progress in Cardiovascular Diseases, 87, 26-36.

Vasileios, P., et al. (2025). Role of inflammatory biomarkers in peripheral arterial disease: A comprehensive review of prognostic and therapeutic implications. Journal of Clinical Medicine.

World Health Organization. (2021). WHO Guideline on Self-Care Interventions for Health and Well-Being.

World Health Organization. (2023). Package of Essential Noncommunicable Disease Interventions (WHO PEN) for Primary Health Care.

Yudiarto, F. L., et al. (2020). Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia. BMC Public Health, 20, 377.

Downloads

Published

2026-07-16

How to Cite

Implementasi Model Prediksi Risiko Peripheral Artery Disease (PAD) berbasis Multi-Marker (ABI, Profil Lipid dan Biomarker Inflamasi) pada Komunitas Individu dengan Sindrom Metabolik di Desa Mojoanyar Mojokerto. (2026). Jurnal Taman Ilmu Dan Inovasi Abdimas Bina Sehat, 2(1), 266-278. https://doi.org/10.29082/jabdimas/2026/Vol2/Iss1/86

Similar Articles

You may also start an advanced similarity search for this article.