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Predicting Post-ICU Functional Impairment During Early ICU Admission Using Real-world Electronic Health Record Data

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  • Anna Krupp
  • You Wang
  • Chao Wang
  • Nicholas M. Mohr
  • Laura Frey-Law
  • Barbara Rakel

Abstract

Intensive care unit (ICU) survivors increasingly report new or worsening functional impairment at hospital discharge. Early risk identification models that include high-dimensional nursing data may improve the delivery of preventive interventions. This study aims to develop and validate models predicting functional impairment at hospital discharge (Activity Measure for Post Acute Care [AMPAC] score

Suggested Citation

  • Anna Krupp & You Wang & Chao Wang & Nicholas M. Mohr & Laura Frey-Law & Barbara Rakel, 2025. "Predicting Post-ICU Functional Impairment During Early ICU Admission Using Real-world Electronic Health Record Data," Clinical Nursing Research, , vol. 34(7), pages 332-339, September.
    • Handle: RePEc:sae:clnure:v:34:y:2025:i:7:p:332-339
    DOI: 10.1177/10547738251342845
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