Development and application of a nomogram model for the prediction of carbapenem-resistant Klebsiella pneumoniae infection in neuro-ICU patients

Microbiol Spectr. 2024 Jan 11;12(1):e0309623. doi: 10.1128/spectrum.03096-23. Epub 2023 Dec 7.

Abstract

Patients in neuro-ICU are at a high risk of developing nosocomial CRKP infection owing to complex conditions, critical illness, and frequent invasive procedures. However, studies focused on constructing prediction models for assessing the risk of CRKP infection in neurocritically ill patients are lacking at present. Therefore, this study aims to establish a simple-to-use nomogram for predicting the risk of CRKP infection in patients admitted to the neuro-ICU. Three easily accessed variables were included in the model, including the number of antibiotics used, surgery, and the length of neuro-ICU stay. This nomogram might serve as a useful tool to facilitate early detection and reduction of the CRKP infection risk of neurocritically ill patients.

Keywords: carbapenem-resistant Klebsiella pneumoniae infection; neuro-ICU patients; nomogram; nosocomial infection; prediction model.

MeSH terms

  • Anti-Bacterial Agents / pharmacology
  • Anti-Bacterial Agents / therapeutic use
  • Carbapenem-Resistant Enterobacteriaceae*
  • Carbapenems / pharmacology
  • Carbapenems / therapeutic use
  • Cross Infection* / drug therapy
  • Cross Infection* / epidemiology
  • Drug Resistance, Bacterial
  • Humans
  • Intensive Care Units
  • Klebsiella Infections* / diagnosis
  • Klebsiella Infections* / drug therapy
  • Klebsiella Infections* / epidemiology
  • Klebsiella pneumoniae
  • Nomograms
  • Risk Factors

Substances

  • Carbapenems
  • Anti-Bacterial Agents