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A Novel Research Method for Determining Sedative Exposure in Critically Ill Patients
Mary Fran Tracy1, Linda Chlan, Kay Savik
1Mary Fran Tracy, PhD, RN, APRN, CNS, FAAN, is Associate Professor, University of Minnesota School of Nursing, and Nurse Scientist, University of Minnesota Medical Center, Minneapolis. Linda Chlan, PhD, RN, ATSF, FAAN, is Associate Dean for Nursing Research and Professor of Nursing, Mayo Clinic College of Medicine and Science, Rochester, Minnesota. Kay Savik, MS, is Senior Statistician, University of Minnesota School of Nursing, Minneapolis. Debra J. Skaar, PharmD, FCCM, is Associate Professor of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis. Craig Weinert, MD, MPH, is Professor of Medicine, Pulmonary, Allergy, Critical Care, and Sleep Medicine Division, University of Minnesota Medical School, Minneapolis.
This study introduces a novel method to analyze sedative and opioid exposure in critically ill patients. The Sedation Intensity Score quantifies medication use, improving clinical trial design for these commonly administered drugs.
Area of Science:
- Pharmacology
- Critical Care Medicine
- Clinical Research Methodology
Background:
- Sedative and opioid drugs are essential for managing pain and anxiety in critically ill patients.
- Clinical trials using these medications as outcome variables face methodological challenges.
- Longitudinal research designs are particularly difficult to implement.
Purpose of the Study:
- To present a novel research analysis method for quantifying sedative and opioid exposure.
- To aggregate medication doses from various drug classes in critically ill patients.
- To facilitate the analysis of medication use in clinical research.
Main Methods:
- A Sedation Intensity Score is calculated by ranking individual patient dosages against peers and summing quartile values.
- Sedation frequency is determined by counting hours of medication administration.
- This method aggregates data from disparate drug classes.
Main Results:
- The proposed method allows for the comparison of sedative exposure across different drug classes.
- It enables the analysis of changes in medication use over time.
- Provides a quantitative measure of overall sedative and opioid exposure.
Conclusions:
- This novel analysis method overcomes limitations in studying sedative and opioid regimens.
- It enhances the feasibility of cohort and clinical trial designs.
- Improves the ability to assess medication changes in critical care research.
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