Predictive models for identification of hospitalized patients harboring KPC-producing Klebsiella pneumoniae

Mario Tumbarello1, Enrico Maria Trecarichi2, Fabio Tumietto3

  • 1Institute of Infectious Diseases, Catholic University of the Sacred Heart, A. Gemelli Hospital, Rome, Italy tumbarello@rm.unicatt.it.

Insights

Identifying Klebsiella pneumoniae carbapenemase-producing K. pneumoniae (KPCKP) is crucial. Recent ICU admission, catheters, multiple hospitalizations, cancer, and specific antibiotic use predict KPCKP isolation and infection in hospitalized patients.

Area of Science:

  • Infectious Diseases
  • Clinical Microbiology
  • Epidemiology

Background:

  • Klebsiella pneumoniae carbapenemases (KPCs) are a growing threat in Enterobacteriaceae infections.
  • Effective identification of KPC-producing K. pneumoniae (KPCKP) is essential for patient management and infection control.

Purpose of the Study:

  • To identify independent predictors for KPCKP isolation in hospitalized patients.
  • To determine risk factors specifically associated with true KPCKP infections.

Main Methods:

  • Retrospective, matched (1:2) case-control study in five Italian hospitals.
  • Involved adult inpatients with and without KPCKP-positive cultures.
  • Matching criteria included hospital, ward, admission date, and time at risk.

Main Results:

  • KPCKP was isolated from 657 patients; 426 had true infections.
  • Predictors for isolation: ICU admission, catheters, drains, multiple hospitalizations, hematological cancer, recent fluoroquinolone/carbapenem therapy.
  • Risk factors for infection: Charlson index ≥ 3, CVC, recent surgery, neutropenia, multiple hospitalizations, recent antibiotic therapy.

Conclusions:

  • Developed models show good predictive power for KPCKP isolation and infection (AUC 0.82).
  • Findings offer valuable insights for clinical management and controlling KPCKP spread.