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논문 기본 정보

자료유형
학술저널
저자정보
Ju Jae-Woo (Department of Anesthesiology and Pain Medicine Seoul National University Hospital) Kwon Jina (Department of Anesthesiology and Pain Medicine Seoul National University Hospital) Yoo Seokha (Department of Anesthesiology and Pain Medicine Seoul National University Hospital Seoul National University College of Medicine Seoul Korea.) Lee Ho-Jin (Department of Anesthesiology and Pain Medicine Seoul National University Hospital)
저널정보
대한마취통증의학회(구 대한마취과학회) Korean Journal of Anesthesiology Korean Journal of Anesthesiology Vol.76 No.2
발행연도
2023.4
수록면
99 - 106 (8page)
DOI
10.4097/kja.22237

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Background: Postoperative nausea and vomiting (PONV) commonly occurs after spinal anesthesia; however, its incidence rate and predictors have been scarcely studied. Therefore, we aimed to investigate its incidence rate and potential predictors.Methods: The electronic medical records of 6,610 consecutive patients undergoing orthopedic surgery under spinal anesthesia were reviewed between January 2016 and December 2020. The primary outcome was PONV incidence within 24 h after spinal anesthesia. Along with its incidence rate, we investigated its predictors using multivariable logistic regression analysis.Results: Among the 5,691 patients included in the analysis, 1,298 (22.8%) experienced PONV within 24 h after spinal anesthesia. Female sex (odds ratio [OR]: 3.23, 95% CI [2.72, 3.83], P < 0.001), nonsmoker (OR: 2.12, 95% CI [1.46, 3.07], P < 0.001), history of PONV (OR: 1.52, 95% CI [1.26, 1.82], P < 0.001), prophylactic 5-hydroxytryptamine receptor antagonist use (OR: 0.35, 95% CI [0.24, 0.50], P < 0.001), prophylactic steroid use (OR: 0.53, 95% CI [0.44, 0.62], P < 0.001), baseline heart rate ≥ 60 beats/min (OR: 1.38, 95% CI [1.10, 1.72], P = 0.005), and postoperative opioid use (OR: 2.57, 95% CI [1.80, 3.67], P < 0.001), were significant predictors of the primary outcome.Conclusions: Our study showed the common incidence of PONV after spinal anesthesia and its significant predictors. A better understanding of its predictors may provide important information for its management.

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