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Abstract
Gynecologic laparoscopic surgery has a high incidence of postoperative nausea and vomiting (PONV). Studies suggest that low intraoperative end-tidal carbon dioxide (EtCO2) is associated with an increased incidence of PONV, but the results have not been consistent among studies. This study investigated the association between intraoperative EtCO2 and PONV in patients undergoing gynecologic laparoscopic surgeries under general anesthesia. This retrospective cohort study involved patients who underwent gynecologic laparoscopic surgeries under general anesthesia at Kyoto University Hospital. We defined low EtCO2 as a mean EtCO2 of < 35 mmHg. Multivariable modified Poisson regression analysis examined the association between low EtCO2 and PONV during postoperative two days and the postoperative length of hospital stay (PLOS). Of the 739 patients, 120 (16%) had low EtCO2, and 430 (58%) developed PONV during postoperative two days. There was no substantial association between low EtCO2 and increased incidence of PONV (adjusted risk ratio: 0.96; 95% confidence interval [CI] 0.80–1.14; p = 0.658). Furthermore, there was no substantial association between low EtCO2 and prolonged PLOS (adjusted difference in PLOS: 0.13; 95% CI − 1.00 to 1.28; p = 0.816). Intraoperative low EtCO2, specifically a mean intraoperative EtCO2 below 35 mmHg, was not substantially associated with either increased incidence of PONV or prolonged PLOS.
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Details
1 Kyoto University, Department of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033); Kyoto University Hospital, Department of Anaesthesia, Kyoto, Japan (GRID:grid.411217.0) (ISNI:0000 0004 0531 2775)
2 Kyoto University Hospital, Department of Anaesthesia, Kyoto, Japan (GRID:grid.411217.0) (ISNI:0000 0004 0531 2775)
3 Kyoto University, Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto-shi, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033)
4 Kyoto University, Department of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033)