Acta Scientific Medical Sciences (ASMS)(ISSN: 2582-0931)

Research Article Volume 9 Issue 10

Survival Analysis of Tuberculosis Patients at Bogor Regency Regional Hospital, West Java, Indonesia

Ardhik Drikavide*, Cicilia Windiyaningsih and Laila Ulfa

Faculty of Public Health, Universitas Respati Indonesia (URINDO), Indonesia

*Corresponding Author: Ardhik Drikavide, Faculty of Public Health, Universitas Respati Indonesia (URINDO), Indonesia.

Received: August 12, 2025; Published: September 11, 2025

Abstract

Tuberculosis (TB) remains one of the leading causes of mortality globally and continues to pose a significant health burden in Indonesia. Bogor Regency records the highest number of TB cases in West Java, with a mortality rate of approximately 42 deaths per 100,000 population. This study aimed to analyze the survival of TB patients treated at Bogor Regency Regional Hospital from 2021 to 2023 and to identify demographic and clinical factors influencing mortality risk, including age, gender, occupation, anatomical site of TB, comorbidities, TB drug resistance profile, and treatment adherence. Using a retrospective cohort design involving 2,804 patients, survival analysis was conducted via Cox proportional hazards regression, with time-varying covariates applied when the proportional hazards assumption was violated. The mean event time was 29.6 days, with 11.5% of patients experiencing death or treatment failure. The most influential factor was medication adherence (HR = 0.354; p < 0.001), followed by comorbidities, age, TB drug resistance, anatomical site, and employment status. Gender and population density showed no significant association. These findings underscore the critical importance of adherence monitoring and early intervention in high-risk patients to improve TB outcomes.

 Keywords: Kaplan-Meier; Cox Proportional Hazards Model; Treatment Adherence; Comorbidities; Bogor Regency

References

  1. SUBCHAN., et al. “Faktor risiko kematian penderita tuberkulosis paru di Kabupaten Bantul, Universitas Gajah Mada, Tesis Magister” (2009).
  2. Liu K., et al. “Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China”. Risk Management Healthcare Policy 15 (2022): 1167-1178.
  3. Dos Santos DT., et al. “Survival time among patients who were diagnosed with tuberculosis, the precocious deaths and associated factors in southern Brazil”. Tropical Medical and Health 1 (2021): 31.
  4. Ebrahimoghli R., et al. “The probability of diagnostic delays for tuberculosis and its associated risk factors in northwest Iran from 2005 to 2016: a survival analysis using tuberculosis surveillance data”. Epidemiology Health 44 (2022): e2022060.
  5. Thungathurthi Smitha., et al. “Survival Probability in Multidrug Resistant Pulmonary Tuberculosis Patients in a South Indian Region”. Hospital Pharmacy 4 (2024): 427-435.
  6. Mihir P Rupani and Soundararajan S. “Survival analysis shows tuberculosis patients with silicosis experience earlier mortality and need employer-led care models in occupational settings in India”. Scientific Report 14 (2024): 28891.
  7. Batubara FA and Alamsyah Lukito. “HUBUNGAN DIABETES MELLITUS TIPE II DENGAN RISIKO PENINGKATAN KEJADIAN TUBERKULOSIS PARU DI RUMAH SAKIT UMUM HAJI MEDAN TAHUN 2022”. Ibnu Sina: Jurnal Kedokteran Dan Kesehatan - Fakultas Kedokteran Universitas Islam Sumatera Utar 2 (2024): 178-185.
  8. Yu Q., et al. “The survival analysis of rifampicin/multidrug-resistant tuberculosis patients based on the levels of inflammatory biomarkers: a retrospective cohort study”. Frontiers in Cellular and Infection Microbiology 13 (2023): 1118424.

Citation

Citation: Ardhik Drikavide., et al. “Survival Analysis of Tuberculosis Patients at Bogor Regency Regional Hospital, West Java, Indonesia”.Acta Scientific Medical Sciences 9.10 (2025): 33-38.

Copyright

Copyright: © 2025 Ardhik Drikavide., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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