Risk factors and prediction model for endometrial polyps in patients
with endometriosis: A Retrospective Study
Abstract
Objective Analyze the differences in the laboratory indexes and baseline
clinical characteristics between the endometriosis(EMs) patients with or
without combination of endometrial polyps(EPs), and establish an
efficient combined prediction model to predict endometrial polyps in
endometrial patients. Design Retrospective study Setting Women’s
Hospital, Zhejiang University School of Medicine, China, from August 1,
2020, to July 31, 2021 Population 1250 endometriosis patients Methods
Logistic regression analysis was used to establish a combined diagnostic
model. RESULTS Compared with endometriosis patients without
EPs,endometriosis patients combined with EPs had significantly higher
age, gravidity, parity, body mass index (BMI), systolic blood
pressure(SBP), diastolic blood pressure(DBP), luteinizing hormone (LH ),
estradiol (E2), platelet(PLT), total cholesterol (TC), low-density
lipoprotein cholesterol (LDL-C ), fasting plasma glucose (FPG), and had
significantly lower hemoglobin (HGB) and white blood cells(WBCs)
(P<0.05). The combined prediction model for endometrial polyps in
patients with endometriosis including BMI, DBP, gravidity, parity,
LH,WBCs, HGB, TC, FPG has been established. The ROC curve showed that
the combined diagnostic model reached area under the curve of
0.78(0.75-0.82, p<0.001). CONCLUSION Compared with endometriosis
patients without EPs,endometriosis patients combined with EPs had some
metabolic changes. The combined diagnostic model of
BMI,DBP,gravidity,parity,LH,WBCs, HGB, TC, FPG may provide a new
approach for the early diagnosis and precise treatment of endometrial
polyps in endometriosis patients.