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Published on: June 21, 2024
Risk factors for postoperative nausea and vomiting
1Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA. gan00001@mc.duke.edu
Understanding postoperative nausea and vomiting (PONV) risk factors helps optimize prevention. Established predictors include female gender, nonsmoking, and certain anesthetic agents, while research continues to refine predictive accuracy.
Area of Science:
- Anesthesiology
- Perioperative Medicine
- Clinical Risk Assessment
Background:
- Postoperative nausea and vomiting (PONV) poses a significant challenge in anesthesia.
- Identifying reliable risk factors is crucial for effective prophylactic management.
- Research since the 1990s has utilized logistic regression and meta-analyses to identify PONV predictors.
Purpose of the Study:
- To review and synthesize established and potential risk factors for postoperative nausea and vomiting.
- To evaluate the accuracy of current PONV risk scoring systems.
- To suggest future research directions for improving PONV prediction.
Main Methods:
- Systematic review and meta-analysis of published literature on PONV risk factors.
- Analysis of logistic regression studies identifying independent predictors.
- Evaluation of current risk scoring system accuracy.
Main Results:
- Established risk factors include female gender, nonsmoking, history of PONV/motion sickness, younger age, longer surgery, volatile anesthetics, nitrous oxide, neostigmine, and opioids.
- Potential factors include migraine history, family history, ASA status, anxiety, ethnicity, fluid administration, anesthesia duration, and anesthesia type.
- Disproved factors include early menstruation, obesity, and lack of oxygen.
- Current risk scoring systems achieve 55%-80% accuracy.
Conclusions:
- Several clinical and anesthetic factors are well-established predictors of PONV.
- Further research into genetic and under-investigated patient characteristics is needed.
- Involving pediatric and outpatient populations will enhance predictive models for PONV.
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