Open access Journal SINTA 1
Performance of Tokyo Guidelines 2018 and Predictors of Mortality in Acute Cholangitis Patients in Indonesia
ACTA MEDICA INDONESIANA · Vol. 57 No. 4 (2025)
- ISSN
- 2338-2732, 0125-9326
- Published
- 2025-12-23
- Publisher
- The Indonesian Society of Internal Medicine
- Language
- eng
Abstract
Background: Acute cholangitis is associated with high mortality, necessitating prompt diagnosis and intervention. The Tokyo Guidelines 2018 (TG18) are a crucial diagnostic tool, but their sensitivity and specificity require evaluation. Moreover, factors influencing acute cholangitis mortality in Indonesia remain unidentified. This study evaluates the diagnostic accuracy of TG18 and identifies mortality predictors in adult patients with acute cholangitis in Indonesia. Methods: A retrospective cohort study was conducted using the medical records of acute cholangitis patients at Cipto Mangunkusumo Hospital from 2019 to 2022. TG18 was compared with endoscopic retrograde cholangiopancreatography (ERCP). Bivariate and multivariate analyses were employed to identify mortality predictors. Results: The study involved 163 individuals (male: 51.5%; mean age: 51.0 ± 12.81 years). The in-hospital mortality rate was 11.6%. TG18 demonstrated a sensitivity and specificity of 84.05% (95% confidence interval (CI):77.51%–89.31%) and 95.65% (95%CI: 78.05%–99.89%), respectively, compared with ERCP. Significant mortality predictors in univariate analysis included TG18 grade III (risk ratio (RR): 13.85; 95%CI: 3.31–57.89; p<0.001), history of malignancy (RR: 4.40; 95%CI: 1.52–12.68; p=0.006), noncompliance with antibiotic guidelines (RR: 3.27; 95%CI: 1.36–7.85; p=0.008), and procalcitonin levels ≥ 2.0 ng/dL (RR: 2.44; 95%CI: 1.056–5.63; p=0.037). Multivariate analysis revealed that significant predictors included TG18 grade III (RR: 10.67; 95%CI: 2.50–45.56; p<0.001), non-compliance with antibiotic guidelines (RR: 2.92; 95%CI: 1.34–6.36; p=0.007), and procalcitonin levels ≥ 2.0 ng/dL (RR: 2.37; 95%CI: 1.18–4.75; p=0.015). Conclusion: TG18 demonstrates favorable sensitivity for diagnosing acute cholangitis. Independent predictors of acute cholangitis mortality include TG18 grade III, noncompliance with antibiotic guidelines, and procalcitonin levels ≥ 2.0 ng/dL.
Keywords
Collaboration network of the authors
40 authors · 326 co-authorship links · showing the 40 most connected
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- University of Indonesia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Rudi Putranto | Affiliation unknown | 32 |
| Murdani Abdullah | Affiliation unknown | 19 |
| Ikhwan Rinaldi | Affiliation unknown | 18 |
| Siti Setiati | Affiliation unknown | 14 |
| Ari Fahrial Syam | Affiliation unknown | 12 |
| Marcellus Simadibrata | Affiliation unknown | 12 |
| Edward Faisal | Affiliation unknown | 11 |
| Imam Subekti | Affiliation unknown | 10 |
| Iris Rengganis | Affiliation unknown | 7 |
| Pringgodigdo Nugroho | Affiliation unknown | 7 |
| Juferdy Kurniawan | Affiliation unknown | 7 |
| Idrus Alwi | Affiliation unknown | 6 |
| Sally Aman Nasution | Affiliation unknown | 6 |
| Kuntjoro Harimurti | Affiliation unknown | 6 |
| Ari F Syam | Affiliation unknown | 6 |
| Leonard Nainggolan | Affiliation unknown | 6 |
| Cosphiadi Irawan | Affiliation unknown | 5 |
| Khie Chen Lie | Affiliation unknown | 5 |
| Dono Antono | Affiliation unknown | 5 |
| Saskia Aziza Nursyirwan | Affiliation unknown | 5 |
| Irsan Hasan | Affiliation unknown | 5 |
| Tri Juli Edi Tarigan | University of Indonesia | 4 |
| Mira Yulianti | Affiliation unknown | 4 |
| Alvina Widhani | Affiliation unknown | 4 |
| Robert Sinto | Affiliation unknown | 4 |
| Adityo Susilo | Affiliation unknown | 4 |
| Gurmeet Singh | Affiliation unknown | 4 |
| Dyah Purnamasari | Affiliation unknown | 4 |
| Pradana Soewondo | Affiliation unknown | 3 |
| Cleopas M Rumende | Affiliation unknown | 3 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.