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Scholars International Journal of Obstetrics and Gynecology (SIJOG)
Volume-7 | Issue-11 | 560-567
Original Research Article
Incidence and Risk Factors of Chronic Pain after Cesarean Delivery- An Observational Study
Dr. Tanzila Halim, Dr. Hasina Khatun, Dr. Bilkis Ferdous, Dr. Rowson Ara, Dr. Khodeza Khatun
Published : Nov. 14, 2024
DOI : DOI: https://doi.org/10.36348/sijog.2024.v07i11.005
Abstract
Background: Chronic pain following cesarean delivery (CD) is a recognized postoperative complication affecting a notable proportion of women. The incidence and risk factors for chronic post-surgical pain in CD are influenced by physical, psychological, and procedural variables. Aim of the study: The aim of this study was to evaluate the incidence and risk factors of chronic pain after cesarean delivery. Methods: This cross-sectional observational study was conducted in Department of Obstetrics and Gynaecology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh, from March 2023 to February 2024. Total 100 women undergoing cesarean delivery were included in this study. Result: In our study, majority (46%) were in the age group of 18-24 years. About 53% participants with chronic pain reported preoperative anxiety (p = 0.015), and 47% reported depression compared to 9% in the non-chronic pain group (p < 0.0001). Chronic pain was present in 50% of anemic and 83% of malnourished participants (p < 0.0001 for both). Spinal anesthesia was associated with higher chronic pain (83%) than epidural (p < 0.0001). Surgery duration, intraoperative excessive bleeding (OR = 4.9, p < 0.0001) and wound infection (OR = 3.8, p < 0.0001) as well as postoperative wound infection (OR = 3.8; p < 0.0001) and excessive physical activity (OR = 4.2; p < 0.0001) also significantly increased chronic pain risk. Conclusion: This study highlights a significant incidence of chronic pain after cesarean delivery, with socioeconomic status, psychological factors, anemia, malnutrition, intraoperative complications, postoperative wound infection and excessive physical activity as strong predictors.
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