Abstract Details

Title Geolocation Mapping of Central Nervous System Tuberculosis in Caldas, Colombia: Clinical and Demographic Characterization

Topic Infectious Disease

Presentation(s) P10 - Poster Session 10 (8:00 AM-9:00 AM)

Poster/Presentation
Number 3-002

Objective

To analyze the clinical and demographic features of patients with central nervous system (CNS) tuberculosis (TB) in the region of Caldas, Colombia, using geolocation mapping to identify epidemiological patterns.

Background

CNS-TB is a rare but severe manifestation of tuberculosis associated with high morbidity and mortality. Despite one-third of the global population having latent TB infection, sociodemographic and epidemiological characteristics remain poorly characterized, even in areas with high incidence. Geographic information systems (GIS) offer a novel approach to integrating demographic and clinical data, enabling the visualization of disease clusters.

Design/Methods A retrospective, descriptive cohort study was conducted on CNS-TB cases from three hospitals in Caldas, Colombia, from 2019 to 2024. Demographic and clinical data were obtained from clinical records and epidemiological reports from national public health agencies.

Results

Five patients with CNS-TB were identified. The mean age was 47.2 years (range 25–62 years), three were men (60%), and two were women (40%). Clinical manifestations included an altered level of consciousness in two patients (40%), gait disturbance, mutism, and seizure. Three patients (60%) were part of the government-subsidized healthcare system, and two (40%) were part of the self-paid healthcare system. Four (80%) of the patients were from urban areas. Comorbid conditions were present in four patients (80%), including diabetes mellitus, systemic lupus erythematosus, hypertension, and hepatitis A virus infection. All patients required intensive care unit admission, and two patients died (40%).

Conclusions

CNS-TB in Caldas, Colombia, remains a serious health challenge with high morbidity and mortality. Geolocation mapping may potentially be useful for visualizing clinical and sociodemographic associations. The results of this study can serve as a resource for guiding health promotion and prevention strategies for other diseases of public health relevance that affect vulnerable populations.

Authors/Disclosures
Maria I. Bonilla PRESENTER	Miss Bonilla has nothing to disclose.
Daniela Duque Montoya, MD	Dr. Duque Montoya has nothing to disclose.
Juan David Marulanda Galvis, Sr., MD	Dr. Marulanda Galvis has nothing to disclose.
Johan Sebastian Hernandez Botero, MD, MBBS	Dr. Hernandez Botero has nothing to disclose.
Diego A. Sanchez Rodriguez, MBBS	Dr. Sanchez Rodriguez has nothing to disclose.
Jimena Chavarro, MD	Dr. Chavarro has nothing to disclose.
Santiago Herrera Giraldo, MD	Dr. Herrera Giraldo has nothing to disclose.
Juan S. Castellanos Rivillas, ING	Mr. Castellanos Rivillas has nothing to disclose.

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