Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram

He Zhang, Weimin Kong, Chao Han, Tingting Liu, Jing Li, Dan Song Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Weimin KongDepartment of...

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Main Authors: Zhang H, Kong W, Han C, Liu T, Li J, Song D
Format: Article
Language:English
Published: Dove Medical Press 2021-10-01
Series:Cancer Management and Research
Subjects:
Online Access:https://www.dovepress.com/correlation-of-metabolic-factors-with-endometrial-atypical-hyperplasia-peer-reviewed-fulltext-article-CMAR
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author Zhang H
Kong W
Han C
Liu T
Li J
Song D
author_facet Zhang H
Kong W
Han C
Liu T
Li J
Song D
author_sort Zhang H
collection DOAJ
description He Zhang, Weimin Kong, Chao Han, Tingting Liu, Jing Li, Dan Song Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Weimin KongDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Qihelou Street, Dongcheng District, Beijing, 100006, People’s Republic of ChinaTel +86 18801273620Email kwm1967@ccmu.edu.cnPurpose: This study aimed to investigate the association of metabolic factors with endometrial atypical hyperplasia and endometrial cancer, and to develop a nomogram model to predict the risk of developing endometrial cancer.Patients and Methods: We collected data of patients with endometrial atypical hyperplasia and endometrial cancer as the case group and then selected patients with simple hyperplasia or polypoid hyperplasia of the endometrium during the same period as the control group using the age-matched method. Laboratory results of metabolic factors were retrieved from the clinical data of the two groups of patients. Multivariable logistic regression analysis was used to determine the risk factors associated with endometrial malignant hyperplasia and to develop a nomogram prediction model of risk factors associated with endometrial malignant hyperplasia. Discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis.Results: Predictors included in the column line graph model were age, hypertension, diabetes, BMI, uric acid, and hyperlipidemia. We calculated the C-index of the model and performed bootstrap validation. Our nomogram model had good discriminatory power and was well calibrated. Decision curve analysis was also used to guide the practical application of this column line graph model.Conclusion: The development of endometrial malignant hyperplasia is significantly associated with metabolic factors: BMI > 25, hyperuricemia, and hyperlipidemia are the main risk factors. Hypertension, hyperglycemia and elevated CA199 were also associated with the development of endometrial malignant hyperplasia. The nomogram prediction model based on physical examination and laboratory testing developed in this study can be used as a rapid method for predicting the risk of endometrial malignancy development and screening for risk factors in a population of women with metabolism-related high-risk factors.Keywords: risk factors, gynecologic oncology, predictors, nomogram
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spelling doaj.art-869f2347778e4941a8398ab59fafa66c2022-12-21T22:40:38ZengDove Medical PressCancer Management and Research1179-13222021-10-01Volume 137937794969818Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive NomogramZhang HKong WHan CLiu TLi JSong DHe Zhang, Weimin Kong, Chao Han, Tingting Liu, Jing Li, Dan Song Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Weimin KongDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Qihelou Street, Dongcheng District, Beijing, 100006, People’s Republic of ChinaTel +86 18801273620Email kwm1967@ccmu.edu.cnPurpose: This study aimed to investigate the association of metabolic factors with endometrial atypical hyperplasia and endometrial cancer, and to develop a nomogram model to predict the risk of developing endometrial cancer.Patients and Methods: We collected data of patients with endometrial atypical hyperplasia and endometrial cancer as the case group and then selected patients with simple hyperplasia or polypoid hyperplasia of the endometrium during the same period as the control group using the age-matched method. Laboratory results of metabolic factors were retrieved from the clinical data of the two groups of patients. Multivariable logistic regression analysis was used to determine the risk factors associated with endometrial malignant hyperplasia and to develop a nomogram prediction model of risk factors associated with endometrial malignant hyperplasia. Discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis.Results: Predictors included in the column line graph model were age, hypertension, diabetes, BMI, uric acid, and hyperlipidemia. We calculated the C-index of the model and performed bootstrap validation. Our nomogram model had good discriminatory power and was well calibrated. Decision curve analysis was also used to guide the practical application of this column line graph model.Conclusion: The development of endometrial malignant hyperplasia is significantly associated with metabolic factors: BMI > 25, hyperuricemia, and hyperlipidemia are the main risk factors. Hypertension, hyperglycemia and elevated CA199 were also associated with the development of endometrial malignant hyperplasia. The nomogram prediction model based on physical examination and laboratory testing developed in this study can be used as a rapid method for predicting the risk of endometrial malignancy development and screening for risk factors in a population of women with metabolism-related high-risk factors.Keywords: risk factors, gynecologic oncology, predictors, nomogramhttps://www.dovepress.com/correlation-of-metabolic-factors-with-endometrial-atypical-hyperplasia-peer-reviewed-fulltext-article-CMARrisk factorsgynecologic oncologypredictorsnomogram
spellingShingle Zhang H
Kong W
Han C
Liu T
Li J
Song D
Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram
Cancer Management and Research
risk factors
gynecologic oncology
predictors
nomogram
title Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram
title_full Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram
title_fullStr Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram
title_full_unstemmed Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram
title_short Correlation of Metabolic Factors with Endometrial Atypical Hyperplasia and Endometrial Cancer: Development and Assessment of a New Predictive Nomogram
title_sort correlation of metabolic factors with endometrial atypical hyperplasia and endometrial cancer development and assessment of a new predictive nomogram
topic risk factors
gynecologic oncology
predictors
nomogram
url https://www.dovepress.com/correlation-of-metabolic-factors-with-endometrial-atypical-hyperplasia-peer-reviewed-fulltext-article-CMAR
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