SUMMARY
Objectives: To investigate the clinicopathological features of patients with uterine myoma and to analyze and summarize factors affecting patient prognosis.Methods: This study retrospectively investigated records of uterine myoma patients treated at Huzhou Central Hospital between June 2018 and May 2020. A total of 149 patients were included in this study, including 121 patients with good prognosis and 28 patients with poor prognosis. Clinical and pathological characteristics, including age, average body mass index (BMI), menopausal status, average lesion diameter, presence of hypertension or diabetes mellitus, operation method, myoma type, location, and quantity, number of fibroids, and presence of pelvic adhesion were analyzed via multivariate analysis.Results: Among the 149 patients with uterine uterine myoma, 92 had anterior wall uterine myoma, 36 had posterior wall uterine myoma, and 21 had uterine fundus uterine myoma. In terms of location, 94 cases were intramural and 55 cases were subserosal. Quantity-wise, 107 had 1-3 myomas while 42 had four or more. Moderate or more severe pelvic adhesions were present in 33 cases. Univariate analysis showed significant differences in age, operation method, myoma type, myoma location, myoma number, and pelvic adhesion severity between patients with good and poor prognosis. Multivariate analysis showed that age, surgical method, uterine myoma type, uterine myoma location, uterine myoma quantity, and pelvic adhesion severity were risk factors affecting the prognosis.Conclusion: Many prognostic factors, including age, operation method, myoma type, myoma location, myoma number, and pelvic adhesion severity are linked to uterine myoma patient prognosis.doi: https://doi.org/10.12669/pjms.38.6.5455How to cite this:Wu X, Zheng Y. Clinicopathological features and prognostic factors for uterine myoma. Pak J Med Sci. 2022;38(6):1580-1583. doi: https://doi.org/10.12669/pjms.38.6.5455This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.