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Published on: January 17, 2011
Factors Associated With Recovery Room Intravenous Opiate Requirement After Pediatric Outpatient Operations
Olubukola O Nafiu1, Aleda Thompson, S Devi Chiravuri
1From the Department of Anesthesiology, Section of Pediatric Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Insights
Predicting severe postoperative pain in children is crucial. A model using patient history, intraoperative data, and initial pain scores accurately identifies children needing intravenous opioids in the postanesthesia care unit (PACU).
Area of Science:
- Pediatric Anesthesiology
- Pain Management
- Health Informatics
Background:
- Many children experience severe pain post-anesthesia, requiring intravenous (IV) opioid treatment in the postanesthesia care unit (PACU).
- Preventing significant PACU pain is a clinical and ethical priority.
- Identifying predictive factors for PACU IV opioid need is essential for personalized pain management protocols.
Purpose of the Study:
- To develop and evaluate prediction models for identifying children at risk of requiring IV opioid analgesia in the PACU.
- To identify key patient-level and perioperative factors that predict PACU IV opioid requirement.
Main Methods:
- Prospective data collection from 1256 children (4-17 years) undergoing painful ambulatory surgery.
- Development of three multivariable logistic regression models using preoperative, intraoperative, and PACU variables.
- Assessment of model predictive performance using receiver operating characteristic curves (AUROC).
Main Results:
- Overall, 29.5% of patients required PACU IV opioids; 41.1% required any PACU analgesia.
- Predictors from history alone (female sex, younger age, surgical history, non-Caucasian ethnicity) showed limited predictive ability (AUROC 0.59).
- Models incorporating intraoperative variables (AUROC 0.71) and PACU pain scores (AUROC 0.85) demonstrated substantially improved prediction of IV opioid requirement.
Conclusions:
- A combination of easily obtainable perioperative variables, particularly the initial PACU pain score, can effectively predict the need for IV opioid treatment in children.
- The developed prediction models show promise for identifying children at risk for significant postoperative pain.
- Further validation in diverse clinical settings is necessary to confirm the utility of these predictive models.
Background:
Many children recovering from anesthesia experience pain that is severe enough to warrant intravenous (IV) opioid treatment within moments of admission to the postanesthesia care unit (PACU). Postoperative pain has several negative consequences; therefore, preventing significant PACU pain in children is both a major clinical goal and a moral/ethical imperative. This requires identifying patient-level and perioperative factors that may be used to predict PACU IV opioid requirement. This should allow for the development of personalized care protocols to prevent clinically significant PACU pain in children. Our objective was to develop prediction models enabling practitioners to identify children at risk for PACU IV opioid requirement after various painful ambulatory surgical procedures.
Methods:
After Institutional Review Board approval, clinical, demographic, and anthropometric data were prospectively collected on 1256 children 4-17 years of age scheduled for painful ambulatory surgery (defined as intraoperative administration of analgesia or local anesthetic infiltration). Three multivariable logistic regression models to determine possible predictors of PACU IV opioid requirement were constructed based on (1) preoperative history; (2) history + intraoperative variables; and (3) history + intraoperative variables + PACU variables. Candidate predictors were chosen from readily obtainable parameters routinely collected during the surgical visit. Predictive performance of each model was assessed by calculating the area under the respective receiver operating characteristic curves.
Results:
Overall, 29.5% of patients required a PACU IV opioid, while total PACU analgesia requirement (oral or IV) was 41.1%. Independent predictors using history alone were female sex, decreasing age, surgical history, and non-Caucasian ethnicity (model area under the receiver operating characteristic curve [AUROC], 0.59 [95% confidence interval {CI}, 0.55-0.63]). Adding a few intraoperative variables improved the discriminant ability of the model (AUROC for the history + intraoperative variables model, 0.71 [95% CI, 0.67-0.74]). Addition of first-documented PACU pain score produced a substantially improved model (AUROC, 0.85 [95% CI, 0.82-0.87]).
Conclusions:
Postoperative pain requiring PACU IV opioid in children may be determined using a small set of easily obtainable perioperative variables. Our models require validation in other settings to determine their clinical usefulness.
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