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Sentinel Surveillance for Pediatric Bacterial Meningitis in a Tertiary Level Pediatric Hospital in Colombia, 2016 - 2023

Bautista, A.; Moreno, G. C.; Jerez, D.; Rojas, M. d. P. P.; Moreno, J.; Maldonado, L. Y.; Rodriguez, Y. M. E.; Sanabria, O.; Palacios, J.; Sotelo, J. C. R.; Duarte, M. C.; Sabogal, E.; Jimenez, K.; Duarte, C.

2026-03-27 public and global health
10.64898/2026.03.25.26348800 medRxiv
Show abstract

Introduction: Bacterial meningitis (BM) is a common bacterial infection of the central nervous system, and its incidence in children varies by age, with the highest rates observed in infants younger than two months old. Objective: To describe the etiology, epidemiology, and clinical presentation of children under 5 years of age with BM at HOMI between 2016 to 2023. Materials and methods: Descriptive study of children under 5 years of age with suspected BM. Probable cases were those with CSF results consistent with BM. Confirmed cases had a positive CSF culture or blood culture for a bacterial pathogen or a positive molecular test for a bacterium in the CSF. Demographic variables, incidence of BM per year, mortality, and sequelae among survivors were analyzed. Results: A total of 527 suspected cases of BM were evaluated. Of these, 22.8% (120/527) were classified as probable cases and 13.1% (69/527) as confirmed cases. Children under 2 years of age accounted for 37.2% of probable cases and 78.2% of confirmed cases. Among confirmed cases, the most frequent symptoms were fever (98.3%), altered consciousness (39.1%), seizures (36.2%), and lethargy (27.5%). The mortality rate was 11.6% (8/69), and the mean hospital stay among patients with BM was 24.5 days. Streptococcus pneumoniae was identified in 26.1% of confirmed cases, with most isolates belonging to serotypes not included in PCV10. Haemophilus influenzae accounted for 17.4% of cases, of which 77.7% were serotype b. Neisseria meningitidis represented 10.1% of cases, and 60% of these were serogroup C. Other pathogens were identified in 49.1% of patients. Conclusion: Sentinel surveillance makes it possible to measure the impact of public health interventions and evaluate the impact of vaccines already used.

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