CLABpredICU---AI-driven risk prediction for CLABSI in intensive care units based on clinical and biochemical parameters.

Journal: American journal of infection control
Published Date: Aug 1, 2025

Abstract

BACKGROUND: Central line--associated bloodstream infections (CLABSI) are major causes of morbidity and mortality in intensive care units. This study aimed to develop an artificial intelligence-driven predictive model for CLABSI within 2 calendar days of central line insertion using routine biochemical parameters for early detection.

Authors

  • Rijhul Lahariya
    All India Institute of Medical Sciences, Patna, Bihar, India.
  • Gargee Anand
    Department of Microbiology, All India Institute of Medical Sciences, Patna, Bihar, India.
  • Asim Sarfraz
    Department of Microbiology, All India Institute of Medical Sciences, Patna, Bihar, India. Electronic address: drasims@aiimspatna.org.
  • Jutang Babat Ain Tiewsoh
    Department of Microbiology, All India Institute of Medical Sciences, Patna, Bihar, India.
  • Amarjeet Kumar
    Department of Trauma and Emergency, All India Institute of Medical Sciences, Patna, Bihar, India.

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