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Device-associated infections in neonatal care units in a middle-income country, 2016–2018

OBJECTIVE: Describe the device-associated infections in the NICUs in Cali – Colombia, a middle-income country, between August 2016 to December 2018. METHODS: Observational cross-sectional study evaluating reports of device-associated infections in 10 NICUs in Cali, Colombia, between August 2016 and...

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Detalles Bibliográficos
Autores principales: Torres-Muñoz, Javier, Hoyos, Ingrith Viviana, Murillo, Jennifer, Holguin, Jorge, Dávalos, Diana, López, Eduardo, Torres-Figueroa, Sofia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492145/
https://www.ncbi.nlm.nih.gov/pubmed/37148912
http://dx.doi.org/10.1016/j.jped.2023.03.004
Descripción
Sumario:OBJECTIVE: Describe the device-associated infections in the NICUs in Cali – Colombia, a middle-income country, between August 2016 to December 2018. METHODS: Observational cross-sectional study evaluating reports of device-associated infections in 10 NICUs in Cali, Colombia, between August 2016 and December 2018. Socio-demographic and microbiological data were obtained from the National Public Health surveillance system, through a specialized notification sheet. The relationship of device-associated infections with several outcomes including birth weight, microorganisms, and mortality was evaluated using OR CI95%, using the logistic regression model. Data processing was performed using the statistical program STATA 16. RESULTS: 226 device-associated infections were reported. The rate of infection with central line-associated bloodstream infections was 2.62 per 1000 days of device use and 2.32 per 1000 days for ventilator-associated pneumonia. This was higher in neonates under 1000 g; 4.59 and 4.10, respectively. 43.4% of the infections were due to gram-negative bacteria and 42.3% were due to gram-positive bacteria. Time from hospitalization to diagnosis of all device-associated infections had a median of 14 days. When compared by weight, infants with a weight lower than 1000 g had a greater chance of death (OR 3.61; 95% CI 1.53–8.49, p = 0.03). Infection by gram-negative bacteria was associated with a greater chance of dying (OR 3.06 CI 95 1.33–7.06, p = 0.008). CONCLUSIONS: These results highlight the need to maintain epidemiological surveillance processes in neonatal intensive care units, especially when medical devices are used.