A Model to Predict Central-Line-Associated Bloodstream Infection Among Patients With Peripherally Inserted Central

Erica Herc1, Payal Patel1, Laraine L Washer1

  • 11Division of Infectious Diseases,Department of Internal Medicine,Michigan Medicine,Ann Arbor,Michigan.

Insights

A new Michigan PICC-CLABSI (MPC) score helps predict the risk of central-line-associated bloodstream infections (CLABSIs) in patients with peripherally inserted central catheters (PICCs). This tool aids in clinical decisions for PICC use and patient monitoring.

Area of Science:

  • Infectious Diseases
  • Medical Devices
  • Epidemiology

Background:

  • Peripherally inserted central catheters (PICCs) are linked to central-line-associated bloodstream infections (CLABSIs).
  • Existing tools for predicting PICC-CLABSI risk are lacking.
  • Infection control strategies require better risk stratification for PICC insertion.

Purpose of the Study:

  • To develop and validate a risk prediction model for PICC-CLABSI.
  • To operationalize CLABSI risk factors for clinical decision-making.
  • To estimate individual patient risk of PICC-CLABSI before device placement.

Main Methods:

  • Utilized data from the Michigan Hospital Medicine Safety consortium (2013-2016).
  • Employed a Cox proportional hazards model to identify significant PICC-CLABSI risk factors.
  • Developed the Michigan PICC-CLABSI (MPC) score based on regression coefficients and assigned points to predictors.
  • Assessed predictive performance using time-dependent area-under-the-curve (AUC) values.

Main Results:

  • Identified key risk factors: hematological cancer (3 points), prior CLABSI (2 points), multilumen PICC (2 points), solid cancers with chemotherapy (2 points), TPN (1 point), and concurrent CVC (1 point).
  • The MPC score significantly predicted CLABSI risk (P<.0001), with each point increase raising the hazard ratio by 1.63.
  • Model calibration was good, with AUC values ranging from 0.67 to 0.77 for varying PICC dwell times.

Conclusions:

  • The MPC score provides a novel method for informing decisions on PICC use.
  • It aids in surveillance of high-risk patient cohorts.
  • The score helps determine the utility of blood cultures when PICC-CLABSI is suspected, though further validation is needed.

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