The risk of shoulder pain after laparoscopic surgery for infertility is higher in thin patients

• Published in: Scientific reports Vol. 11; no. 1; p. 13421
• Main Authors: Li, Xin You, Tian, Ming, Li, Ai Zhi, Han, Chun Lei, Li, Ke Zhong
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 28.06.2021; Nature Publishing Group UK; Nature Portfolio
• Subjects: Adult; Body Mass Index; Elective Surgical Procedures - adverse effects; Female; Humans; Incidence; Infertility; Infertility, Female - surgery; Laparoscopy; Laparoscopy - adverse effects; Measuring instruments; Medical personnel; Observational studies; Pain; Pain Measurement; Pain, Postoperative - etiology; Patients; Pneumoperitoneum, Artificial - adverse effects; Prospective Studies; Risk groups; Shoulder; Shoulder Pain - etiology; Surgery; Thinness
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-92762-3

Postlaparoscopic shoulder pain (PLSP) is a common clinical problem that needs to be addressed by medical professionals who are currently perform laparoscopic surgeries. The purpose of this study was to determine the perioperative clinical factors and demographic characteristics associated with PLSP. A prospective observational study was performed with 442 inpatients undergoing laparoscopic surgery for infertility. The pain visual analogue scale was used as the measuring instrument. To identify the predictors of PLSP, we performed multivariate conditional logistic regression. PLSP was correlated with body mass index (BMI, odds ratio = 0.815). The incidence of shoulder pain and more severe shoulder pain in patients with a lower BMI was significantly higher than it was in patients with a higher BMI, and BMI was significantly negatively correlated with PLSP. Most of the patients (95%) began to experience shoulder pain on the first postoperative day, and it rarely occurred on the day of surgery. Patients with lower BMI presented a higher risk of reporting shoulder pain on the first postoperative day. We should identify high-risk patients in advance and make specific treatment plans according to the characteristics of their symptoms.