Clinical characteristics and risk factors for Klebsiella pneumoniae bloodstream infection in 152 immunocompetent patients
DOI:
https://doi.org/10.3855/jidc.18204Keywords:
Klebsiella pneumoniae, bloodstream infection, clinical features, antibiotic resistance, risk factorsAbstract
Objective: To investigate the clinical characteristics and prognostic risk factors for Klebsiella pneumoniae bloodstream infections in immunocompetent patients.
Methods: The study included patients with K. pneumoniae bloodstream infection treated in Zhongda Hospital from June 2016 to June 2021. Clinical data and antibiotic susceptibility test results were retrospectively collected and analyzed. Independent risk factors for mortality were screened using the chi-square test and multivariate logistic regression.
Results: A total of 152 patients were included in the analysis. In our cohort, 77.6% of patients were older than 60 years, and 80.9% of them had community-acquired infections. The most common complications were type 2 diabetes, hypertension, and stroke sequelae. The proportion of patients with septic shock or abscesses was 34.9% and 25.7%, respectively. There were significant differences in the site of infection, septic shock, and serum levels of procalcitonin, hypersensitive C-reactive protein, D-dimer, creatinine, and lactic acid between survivors and non-survivors (p < 0.05). Multivariate regression analysis showed that hospital-acquired infections, septic shock, length of hospital stay, and creatinine levels were independent risk factors for mortality. Antibiotic susceptibility test results indicated that clinical outcomes varied depending on bacterial sensitivity to ampicillin/sulbactam.
Discussion: Klebsiella pneumoniae is a common community-acquired and hospital-acquired bacteria and usually infects older people with complications such as diabetes. Nosocomial infections, length of stay, septic shock, and renal insufficiency are potentially associated with poor prognosis. Bacterial susceptibility to ampicillin/sulbactam affects prognosis.
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Copyright (c) 2024 Qun Zhang, Pan Wang, Menghuan Shen, Chun Shan
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