The LACE index and risk factors of 14-day versus 30-day readmissions in children

Chaohsin Lin1, Shuofen Hsu1, Yu-Hua Yan2

  • 1Department of Risk Management and Insurance, National Kaohsiung University of Science and Technology, No. 1, University Rd., Yanchao Dist., Kaohsiung 824005, Taiwan.

Insights

The LACE index for adults is less effective in predicting pediatric readmissions. A simpler model using length of stay and prior admissions outperformed the LACE index, highlighting different risk factors for short-term vs. 30-day child readmissions.

Area of Science:

  • Pediatric Healthcare Research
  • Health Services Research
  • Epidemiology

Background:

  • Pediatric readmission risk factors differ from adults, with limited data on adult-derived prediction tools like the LACE index (Length of stay, Acute admission, Charlson comorbidity index, Emergency department visits).
  • Understanding predictors for pediatric readmissions, especially within shorter post-discharge intervals, is crucial for effective intervention and resource allocation.

Purpose of the Study:

  • To evaluate the validity of the adult LACE index for predicting 30-day hospital readmissions in children.
  • To identify distinct risk factors for early (0-14 days) versus later (15-30 days) pediatric readmissions.
  • To compare the predictive performance of the LACE index against simpler models.

Main Methods:

  • Retrospective cohort analysis of 4256 pediatric patients (≤18 years) hospitalized in 2019.
  • Evaluation of the LACE index and other logistic regression models for 30-day readmission prediction.
  • Multinomial logistic regression to differentiate risk factors for 0-14 day vs. 15-30 day readmissions.

Main Results:

  • The optimal LACE index cut-off for children (7) differed from adults (10).
  • A simplified model using length of stay and prior year admissions outperformed the LACE index in predicting pediatric readmissions.
  • Supplemental private health insurance was associated with lower readmission rates compared to National Health Insurance only, indicating socioeconomic disparities.
  • Risk factors varied by readmission interval: acute admissions were relevant for <14 days, while age was significant for 15-30 days; prior healthcare utilization and illness burden predicted longer-term readmissions.

Conclusions:

  • The adult LACE index has limited validity for predicting pediatric readmissions.
  • A simpler predictive model focusing on length of stay and prior admissions is more effective for identifying at-risk children.
  • Distinct factors influence short-term versus 30-day pediatric readmissions, necessitating tailored screening and interventions.
  • Socioeconomic disparities, including insurance status, play a role in pediatric readmission rates.

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