Tool for Estimating Risk of Urinary Infections with Klebsiella pneumoniae
Author Information
Author(s): Lazar Dragos Stefan, Nica Maria, Codreanu Daniel Romeo, Kosa Alma Gabriela, Visinescu Lucian L., Popescu Corneliu Petru, Efrem Ion Cristian, Florescu Simin Aysel, Gherlan George Sebastian
Primary Institution: Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Carol Davila University of Medicine and Pharmacy
Hypothesis
Can we identify prognostic characteristics of patients infected with carbapenem-resistant Klebsiella pneumoniae and create a tool to estimate the probability of such infections?
Conclusion
The study provides a model to help clinicians estimate the likelihood of carbapenem-resistant Klebsiella pneumoniae infections based on specific patient factors.
Supporting Evidence
- 41.6% of urinary infections with Klebsiella pneumoniae were caused by carbapenem-resistant strains.
- Factors like male gender and recent invasive urinary procedures were predictive of carbapenem-resistant infections.
- The model showed a reasonable performance with an area under the ROC curve of 0.786.
Takeaway
This study helps doctors figure out if a patient might have a tough-to-treat urinary infection caused by a germ called Klebsiella pneumoniae, so they can choose the right medicine faster.
Methodology
A retrospective case-control study was conducted on hospitalized patients with urinary tract infections caused by Klebsiella pneumoniae, analyzing demographic, clinical, and laboratory data.
Potential Biases
Recall bias may affect the accuracy of reported past infections.
Limitations
The study has a small sample size and lacks a validation group.
Participant Demographics
Patients included both male and female adults over 18 years old, with a mean age of approximately 70 years.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI (0.730–0.842)
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website