Abstract

Objective To explore the relationship between body mass index (BMI) and waist-to-hip ratio (WHR) and clinicopathological characteristics and prognosis of uterine leiomyomata (UL). Methods A retrospective analysis of the clinical data of 133 patients with UL admitted to our hospital from September 2018 to August 2019. According to the BMI standard, the patients were divided into the normal group (n = 32), the super-recombination group (n = 45), and the obesity group (n = 56). According to WHR, the patients were divided into the normal body group (n = 32) and the obesity body group (n = 101). The prognosis of all patients with UL at 3 months postoperatively was evaluated. The relationship between BMI patients and clinical characteristics in different groups was compared, and univariate analysis and multivariate logistic regression model were used to analyze the factors affecting the prognosis of UL patients. Results The proportion of UL patients in the overweight/obese group was higher than that of the normal group, the proportion of the obese body group was higher than that of the normal body group, and the proportion of the good prognosis group was higher than that of the poor prognosis group (P < 0.05). The difference between the overweight/obese group and the normal group and the obese body group and the normal body group was irregular vaginal bleeding, the number of tumors, and the diameter of the lesion (P < 0.05), and the differences between the degenerations in the obese body group and the normal body group were statistically significant (P < 0.05). Multivariate analysis showed that BMI, WHR, surgical method, and tumor location were all independent risk factors that affected the prognosis of the surgery (P < 0.05). Conclusion Elevated BMI and WHR can be accompanied by an increased risk of UL. Obesity is a risk factor for UL. Overweight/obese women are more clinically pathological than normal patients, and overweight/obese patients have worse surgical prognosis than normal patients. In order to reduce the prevalence of UL and improve the clinicopathological characteristics and prognosis of patients, clinically obese women should be instructed to use reasonable diet and exercise to control weight.

Highlights

  • Uterine leiomyomata (UL) is mainly a benign tumor of smooth muscle hyperplasia, which occurs in the female reproductive system of childbearing age

  • Comparison of Clinicopathological Characteristics between Different Body mass index (BMI) and UL. e incidences of irregular vaginal bleeding, multiple tumors, and lesion diameters ≥40 mm in the overweight/obesity group were higher than those in the normal group, and the differences were statistically significant (P < 0.05). ere was no significant difference between the three groups of patients in

  • The cytokines released by the surrounding adipose tissue of obese women can cause the body to increase the secretion of estrogen and reduce the production of sex hormone-binding globulin in the liver, which leads to the increase of free estrogen in surrounding blood and increases UL incidence through different pathophysiological changes [18, 19]. e results of this study showed that the ratio of the overweight/ obesity group in UL patients was higher than that of the normal group, and the ratio of the obesity group was higher than that of the normal group

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Summary

Introduction

Uterine leiomyomata (UL) is mainly a benign tumor of smooth muscle hyperplasia, which occurs in the female reproductive system of childbearing age. It is mainly manifested by increased menstrual flow, pelvic mass, abdominal pain, and infertility [1, 2]. In the female reproductive system, obesity aggravates the symptoms of pelvic organ prolapse and stress urinary incontinence and increases the risk of endometrial polyps and symptomatic uterine fibroids [4]. The analysis of the relationship between overweight/ obesity and the onset of uterine fibroids has been reported, but the reports of independent research on the BMI, WHR, and clinicopathological characteristics of UL and the impact on the prognosis of surgical patients are poorly understood

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