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Detalle de: Non-Typhi, non-Paratyphi Salmonella-related hospitalisations in Spain: trends, clinical aspects, risk factors for worse prognosis and hospital costs

Title Non-Typhi, non-Paratyphi Salmonella-related hospitalisations in Spain: trends, clinical aspects, risk factors for worse prognosis and hospital costs
Abstract

This study reviews non-typhoid Salmonella (NTS)-related hospitalisations at National level in Spain between 2010 and 2015. NTS hospitalisations were obtained from the National Registry of Hospitalisations. A descriptive analysis of the hospitalisations was performed, including hospitalisation rates (HR) and case-fatality rates (CFR%) calculation. For those with NTS as Main Diagnosis logistic regression were used to estimate the relationship between the different factors and death outcome. 21,660 registered NTS-related hospitalisations were described (88.8% with Salmonella coded as Main Diagnosis). Average HR 2010-2015 was 7.7 (range, 7.3 to 8.1) hospitalisations/100,000 population. Those with NTS infections as Secondary Diagnosis were on average (p 64 years old (OR = 20.99; p 3 (OR = 4.57; p < 0.001); a non-HIV co-infection (OR = 1.80; p = 0.013); other risk factors (OR = 5.70; p < 0.001); bowel perforation (OR = 70.30; p < 0.001); or acute renal failure (OR = 1.95; p = 0.001). In those with Salmonella as Main Diagnosis, among all complications, bowel perforation presented the strongest association with death outcome. Clinical practice guidelines can help to identify patients at risk of bowel perforation to reduce the fatality of the disease.

Apa Reference Garrido-Estepa, M., Latasa, P., Ordóñez-León, G.Y., Martínez-Avilés, M., de la Torre, A. & García-Comas, L. (2018). Non-Typhi, non-Paratyphi Salmonella-related hospitalisations in Spain: trends, clinical aspects, risk factors for worse prognosis and hospital costs. European Journal of Clinical Microbiology &amp; Infectious Diseases, 38(2), 337-346. 10.1007/s10096-018-3433-1
Doi 10.1007/s10096-018-3433-1
Publication Date 20 Nov 2018
Publication Type Article
Researcher Marta Martínez Avilés
Ontology Clinical data
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