Risk Factors and the Impact of Multidrug-Resistant Bacteria on Community-Acquired Urinary Sepsis.
Manuel MadrazoIan López-CruzLaura PilesSofía ViñolaJuan AlberolaJosé María EirosArturo ArteroPublished in: Microorganisms (2023)
Risk factors for multidrug-resistant bacteria (MDRB) in nosocomial urinary tract infection (UTI) have been widely studied. However, these risk factors have not been analyzed in community-acquired urinary sepsis (US), nor have its outcomes been studied. The aim of our study is to determine risk factors for MDRB in community-acquired US and its influence on outcomes. Prospective observational study of patients with community-acquired US admitted to a university hospital. We compared epidemiological and clinical variables and outcomes of US due to MDRB and non-MDRB. Independent risk factors for MDRB were analyzed using logistic regression. A total of 193 patients were included, 33.7% of them with US due to MDRB. The median age of patients was 82 years. Hospital mortality was 17.6%, with no difference between the MDRB and non-MDRB groups. The length of hospital stay was 5 (4-8) days, with a non-significant tendency to longer hospital stays in the MDRB group (6 (4-10) vs. 5 (4-8) days, p = 0.051). Healthcare-associated US was found to be an independent risk factor for MDR bacteria by multivariate analysis. In conclusion, the impact of MDR bacteria on the outcomes of community-acquired urinary sepsis was mild. Healthcare-associated US was an independent risk factor for MDR bacteria.
Keyphrases
- healthcare
- multidrug resistant
- risk factors
- end stage renal disease
- mental health
- acinetobacter baumannii
- urinary tract infection
- newly diagnosed
- drug resistant
- intensive care unit
- gram negative
- chronic kidney disease
- acute kidney injury
- ejection fraction
- peritoneal dialysis
- prognostic factors
- klebsiella pneumoniae
- septic shock
- adipose tissue
- type diabetes
- skeletal muscle
- adverse drug
- pseudomonas aeruginosa
- coronary artery disease
- emergency department
- cardiovascular events
- cystic fibrosis
- data analysis