Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model.
cardiovascular disease
drug resistance
pathogenic bacteria
pulmonary infection
risk prediction model
Journal
Open life sciences
ISSN: 2391-5412
Titre abrégé: Open Life Sci
Pays: Poland
ID NLM: 101669614
Informations de publication
Date de publication:
2023
2023
Historique:
received:
24
07
2023
revised:
13
09
2023
accepted:
16
09
2023
medline:
28
12
2023
pubmed:
28
12
2023
entrez:
28
12
2023
Statut:
epublish
Résumé
This study analyzes the distribution of pathogenic bacteria and their antimicrobial susceptibilities in elderly patients with cardiovascular diseases to identify risk factors for pulmonary infections. A risk prediction model is established, aiming to serve as a clinical tool for early prevention and management of pulmonary infections in this vulnerable population. A total of 600 patients were categorized into infected and uninfected groups. Independent risk factors such as older age, diabetes history, hypoproteinemia, invasive procedures, high cardiac function grade, and a hospital stay of ≥10 days were identified through logistic regression. A predictive model was constructed, with a Hosmer-Lemeshow goodness of fit (
Identifiants
pubmed: 38152575
doi: 10.1515/biol-2022-0756
pii: biol-2022-0756
pmc: PMC10751996
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20220756Informations de copyright
© 2023 the author(s), published by De Gruyter.
Déclaration de conflit d'intérêts
Conflict of interest: Authors state no conflict of interest.