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Area of Science:

  • Healthcare Management
  • Clinical Informatics
  • Biostatistics

Background:

  • Hospital readmissions pose significant care quality and financial burdens globally.
  • Predicting patient readmission is crucial for effective healthcare resource allocation.
  • Creatinine levels, a marker of serious illness, may offer insights into readmission risk.

Purpose of the Study:

  • To predict 30-day patient readmissions using creatinine level trajectories.
  • To identify key factors contributing to preventable readmissions.
  • To analyze sex-based differences in readmission risk.

Main Methods:

  • Utilized Electronic Health Record data from 928 patients across ten emergency departments in Israel.
  • Applied a semi-parametric, group-based trajectory model to analyze creatinine levels over time.
  • Examined developmental trajectories of creatinine to stratify readmission risk.

Main Results:

  • Identified three distinct creatinine-based trajectories over time.
  • Observed differing 30-day readmission rates across these trajectories for males and females.
  • Creatinine trajectory emerged as a significant predictor of readmission.

Conclusions:

  • Creatinine level trajectories can aid in predicting 30-day patient readmissions.
  • Distinct trajectories highlight potential sex-based differences in readmission risk.
  • Further analysis of other factors is needed for comprehensive readmission risk stratification.