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A Four-Item Risk Score to Target Acute HIV Infection Testing Among Men Who Have Sex With Men in Indonesia:
Gilbert Lazarus1, Nurhayati H Kawi2, Hendry Luis3
1Oxford University Clinical Research Unit Indonesia, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.
Journal of the International AIDS Society
|April 16, 2026
Summary
A new four-item risk score effectively identifies acute HIV infection (AHI) in Indonesian men who have sex with men (MSM). This tool aids early diagnosis and HIV prevention efforts by targeting testing for AHI.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- Indonesia faces a significant HIV epidemic, particularly among men who have sex with men (MSM).
- Early diagnosis and treatment of acute HIV infection (AHI) are crucial for individual health and reducing transmission.
- Targeted testing strategies are needed to identify individuals at highest risk for AHI.
Purpose of the Study:
- To evaluate the performance of the Amsterdam AHI risk score in Indonesian MSM.
- To develop and validate a locally optimized risk score for AHI detection in this population.
Main Methods:
- A prospective cohort study of MSM (≥16 years) in Jakarta and Bali.
- Utilized generalized estimating equation models to create a risk score combining symptoms, risk factors, and socio-demographics.
- Internal validation of the optimized score using bootstrap resampling and calculation of AUC, sensitivity, and specificity.
Main Results:
- The optimized four-item risk score achieved an AUC of 0.91, with 100% sensitivity and 65.3% specificity.
- The score identified 83.9%-100% of individuals with AHI while classifying 35.1% of MSM for further HIV-PCR testing.
- Younger MSM (16-30 years) with lower educational attainment were identified as particularly vulnerable.
Conclusions:
- A concise, four-item risk score can efficiently facilitate AHI detection in high-yield clinical settings.
- This optimized score enhances opportunities for HIV prevention among Indonesian MSM.
- The findings highlight specific socio-demographic factors associated with increased AHI vulnerability.

