| Literature DB >> 31626143 |
Jin Joo1, Hyun Kyung Moon, Young Eun Moon.
Abstract
While the pain after gynecological laparoscopy is assumed to be minor, many women suffer from unexpected postoperative pain in the post-anesthesia care unit (PACU). Prior identification of these patients is significant for effective analgesia. Therefore, we sought to determine the predictors for acute postoperative pain after gynecological laparoscopy. The data of 280 patients undergoing gynecological laparoscopy were analyzed. Data included demographic characteristics, previous obstetric/gynecologic surgical history, menstruation pattern including dysmenorrhea severity, gynecological hormone administration history, and surgical data (surgical time, endometriosis severity, adhesion, drainage insertion, and surgery type). Univariate analysis and binary logistic regression were used to evaluate predictors for substantial pain in the PACU after gynecologic laparoscopy. Among the 280 patients, 115 (41%) suffered from substantial postoperative pain in the PACU. Whenever the level of dysmenorrhea became more severe (none → mild → moderate → severe), the risk of substantial pain in the PACU increased 2.9-fold (odds ratio [OR] 2.92, 95% confidence interval [CI] 2.11-4.03, P < .001). Moreover, patients undergoing laparoscopy for ectopic pregnancy had a higher risk of substantial pain compared with the others (OR 3.11, 95% CI 1.36-7.12, P = .007). Other factors did not show a significant association with substantial pain. Patients with preoperative severe dysmenorrhea and those undergoing laparoscopy for ectopic pregnancy should be considered to have a high risk of substantial postoperative pain in the PACU so that they receive prompt and aggressive analgesic intervention. In particular, dysmenorrhea severity is clinically valuable as a useful predictor for substantial pain after gynecological laparoscopy.Entities:
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Year: 2019 PMID: 31626143 PMCID: PMC6824785 DOI: 10.1097/MD.0000000000017621
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Diagram showing the flow of participants.
Demographic, preoperative, and operative data of patients with and without substantial pain in the post-anesthesia care unit.
Figure 2The distribution of substantial postoperative pain in the post-anesthesia care unit according to the severity of preoperative dysmenorrhea. Values are percentile. P < .001 among 4 groups.
The distribution of substantial postoperative pain in the post-anesthesia care unit according to the type of laparoscopy.
Binary logistic regression to evaluate the effect of specific variables on the probability of substantial pain in the post-anesthesia care unit.