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Updated: Jun 30, 2026

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An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
Published on: January 27, 2010
Risk Factors and Nomogram for Postpartum Myofascial Pelvic Pain: A Prospective Cohort Study
Yueyun Cai1, Yuting Cai1, Yuefen Chen1
1Department of Gynaecology and Obstetrics, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, 363000, People's Republic of China.
Journal of Pain Research
|June 29, 2026
Summary
Identifying risk factors for postpartum myofascial pelvic pain (MFPP) is crucial. Macrosomia, vaginal laceration, grand multiparity, and dyspareunia history predict MFPP, aiding early risk stratification.
Area of Science:
- Obstetrics and Gynecology
- Pelvic Health
- Postpartum Care
Background:
- Myofascial pelvic pain (MFPP) is a common yet frequently overlooked postpartum complication.
- Early identification of at-risk individuals is essential for timely intervention and rehabilitation.
Purpose of the Study:
- To identify key risk factors associated with postpartum MFPP.
- To develop a predictive nomogram for early risk stratification of postpartum MFPP.
Main Methods:
- A prospective cohort study involving 671 women was conducted.
- Risk factors were identified using multivariable logistic regression and a predictive nomogram was constructed.
- Participants were divided into training (n=505) and validation (n=166) sets.
Main Results:
- The incidence of postpartum MFPP was 12.9% (training) and 11.4% (validation).
- Independent risk factors identified include neonatal birth weight ≥4 kg, vaginal laceration, parity ≥3, and history of dyspareunia.
- The nomogram demonstrated moderate discriminative ability with an AUC of 0.681 (training) and 0.656 (validation).
Conclusions:
- Macrosomia, vaginal laceration, grand multiparity, and history of dyspareunia are significantly associated with postpartum MFPP.
- The developed nomogram shows potential as a preliminary tool for early risk stratification.
- Further multicenter validation is recommended prior to widespread clinical implementation.
