<![CDATA[Active case finding (ACF) is one of the key strategies to achieve tuberculosis elimination targets. ACF activity has been carried out in the Purwakarta District, which has a high number of tuberculosis cases. This study aims to examine the participants' characteristics, clinical conditions, and associated risk factors. This study uses quantitative methods with a cross-sectional approach. Data for this study were derived from a routine ACF initiative conducted by the District Health Office in the villages of Cibogo Girang, Citeko Kaler, and Sindang Sari between September and October 2023. The study subjects consisted of people who participated in ACF. Distribution and frequency of demographic characteristics, clinical symptoms, and risk factors were calculated and compared between tuberculosis and non-tuberculosis patient groups. Binary logistic regression analysis was applied to examine associations. 365 participants attended the ACF sessions and successfully identified 35 cases of active tuberculosis. More than half of the ACF participants experienced clinical symptoms of tuberculosis. Still, there was no statistically significant difference in proportion between participants diagnosed with tuberculosis and those not, except for the symptom of night sweats (p=0.005) with an odds ratio of 3.07 (1.40-6.75). In conclusion, there was no difference in the proportion of risk factors between the two groups. The ACF in Indonesia's rural communities, combined approaches, can successfully uncover a substantial number of hidden tuberculosis cases. The specific association of night sweats with tuberculosis contributes to the clinical understanding of its presentation and should be factored into screening algorithms.]]>
