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Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
- Source :
- Open Life Sciences, Vol 18, Iss 1, Pp 753-60 (2023)
- Publication Year :
- 2023
- Publisher :
- De Gruyter, 2023.
-
Abstract
- 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 (P = 0.236) and an area under the receiver operating characteristic curve of 0.795, demonstrating good discriminative ability. The model had 63.40% sensitivity and 82.80% specificity, with a cut-off value of 0.13. Our findings indicate that the risk score model is valid for identifying high-risk groups for pulmonary infection among elderly cardiovascular patients. The study contributes to the early prevention and control of pulmonary infections, potentially reducing infection rates in this vulnerable population.
Details
- Language :
- English
- ISSN :
- 23915412
- Volume :
- 18
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Open Life Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.686cbf4c4a7147ceb2175282c2f61789
- Document Type :
- article
- Full Text :
- https://doi.org/10.1515/biol-2022-0756