Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study
Background: Non-puerperal mastitis (NPM), a recurrent chronic inflammation of non-lactating breast, often proves tremendous difficulty in treatment, and it may give rise to its complicated symptoms and unclear etiology. Furthermore, the clinical morbidity rate of NPM has been increasing in recent ye...
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MDPI AG
2022-11-01
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author | Liang Shi Jing Wu Yue Hu Xu Zhang Zhi Li Pei-Wen Xi Ji-Fu Wei Qiang Ding |
author_facet | Liang Shi Jing Wu Yue Hu Xu Zhang Zhi Li Pei-Wen Xi Ji-Fu Wei Qiang Ding |
author_sort | Liang Shi |
collection | DOAJ |
description | Background: Non-puerperal mastitis (NPM), a recurrent chronic inflammation of non-lactating breast, often proves tremendous difficulty in treatment, and it may give rise to its complicated symptoms and unclear etiology. Furthermore, the clinical morbidity rate of NPM has been increasing in recent years. Methods: Overall, 284 patients diagnosed with NPM were consecutively recruited as cases in this study, and patients with benign breast disease (n = 1128) were enrolled as control. The clinical, biomedical, and pathological indicators were analyzed. Univariate and multivariate logistic analysis were used to distinguish risks between NPM and benign breast mass patients. Furthermore, according to the pathological characteristics, the patients of NPM were classified into two subgroups: mammary duct ectasia (MDE) and granulomatous lobular mastitis (GLM). The differences of biomedical indicators between MDE and GLM groups were also analyzed. Results: Compared with benign breast mass group, the level of high-density lipoprotein (HDL-C) significantly decreased, while lipoprotein(a) (Lp(a)) and blood glucose (GLU) both increased in NPM group. According to univariate and multivariate logistic analysis, the onset age and HDL-C were generally decreased, while Lp(a) and GLU were increased in NPM group. The onset age, HDL-C, Lp(a), and GLU were modeled to distinguish NPM and benign breast mass. Significant differences were also observed between MDE and GLM patients in biomedical indicators, such as lipoprotein(a) (Lp(a)), lactate dehydrogenase (LDH), creatine kinase (CK), total cholesterol (TC), and so on. Conclusions: Our results indicated for the first time that biomarkers were associated with NPM. The biomedical indicators involved in lipid metabolism might be important factors in the development and treatment of NPM. In addition, MDE and GLM are two diseases with different inflammatory states of NPM. These findings would be helpful for a better understanding of NPM and give us some insights to develop new diagnostic and therapeutic strategies. |
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spelling | doaj.art-e07e93cd9cb84c479dc686b49f7d67e32023-11-24T09:31:36ZengMDPI AGNutrients2072-66432022-11-011422481610.3390/nu14224816Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective StudyLiang Shi0Jing Wu1Yue Hu2Xu Zhang3Zhi Li4Pei-Wen Xi5Ji-Fu Wei6Qiang Ding7Jiangsu Breast Disease Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaDepartment of Pathology, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaJiangsu Breast Disease Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaJiangsu Breast Disease Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaJiangsu Breast Disease Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaJiangsu Breast Disease Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaDepartment of Pharmacy, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210029, ChinaJiangsu Breast Disease Center, the First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, ChinaBackground: Non-puerperal mastitis (NPM), a recurrent chronic inflammation of non-lactating breast, often proves tremendous difficulty in treatment, and it may give rise to its complicated symptoms and unclear etiology. Furthermore, the clinical morbidity rate of NPM has been increasing in recent years. Methods: Overall, 284 patients diagnosed with NPM were consecutively recruited as cases in this study, and patients with benign breast disease (n = 1128) were enrolled as control. The clinical, biomedical, and pathological indicators were analyzed. Univariate and multivariate logistic analysis were used to distinguish risks between NPM and benign breast mass patients. Furthermore, according to the pathological characteristics, the patients of NPM were classified into two subgroups: mammary duct ectasia (MDE) and granulomatous lobular mastitis (GLM). The differences of biomedical indicators between MDE and GLM groups were also analyzed. Results: Compared with benign breast mass group, the level of high-density lipoprotein (HDL-C) significantly decreased, while lipoprotein(a) (Lp(a)) and blood glucose (GLU) both increased in NPM group. According to univariate and multivariate logistic analysis, the onset age and HDL-C were generally decreased, while Lp(a) and GLU were increased in NPM group. The onset age, HDL-C, Lp(a), and GLU were modeled to distinguish NPM and benign breast mass. Significant differences were also observed between MDE and GLM patients in biomedical indicators, such as lipoprotein(a) (Lp(a)), lactate dehydrogenase (LDH), creatine kinase (CK), total cholesterol (TC), and so on. Conclusions: Our results indicated for the first time that biomarkers were associated with NPM. The biomedical indicators involved in lipid metabolism might be important factors in the development and treatment of NPM. In addition, MDE and GLM are two diseases with different inflammatory states of NPM. These findings would be helpful for a better understanding of NPM and give us some insights to develop new diagnostic and therapeutic strategies.https://www.mdpi.com/2072-6643/14/22/4816non-puerperal mastitismammary duct ectasiagranulomatous lobular mastitisbiomedical indicatorslipid metabolism |
spellingShingle | Liang Shi Jing Wu Yue Hu Xu Zhang Zhi Li Pei-Wen Xi Ji-Fu Wei Qiang Ding Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study Nutrients non-puerperal mastitis mammary duct ectasia granulomatous lobular mastitis biomedical indicators lipid metabolism |
title | Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study |
title_full | Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study |
title_fullStr | Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study |
title_full_unstemmed | Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study |
title_short | Biomedical Indicators of Patients with Non-Puerperal Mastitis: A Retrospective Study |
title_sort | biomedical indicators of patients with non puerperal mastitis a retrospective study |
topic | non-puerperal mastitis mammary duct ectasia granulomatous lobular mastitis biomedical indicators lipid metabolism |
url | https://www.mdpi.com/2072-6643/14/22/4816 |
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