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Zhu T, Zhao Y, Bi X, Zhao P, Liu T, Li Y, Li S, Zhao S, Liu S, Huang X. The impact of type 2 diabetes on polycystic ovary syndrome in patients undergoing sleeve gastrectomy. Hum Reprod 2024; 39:2079-2088. [PMID: 39008821 DOI: 10.1093/humrep/deae159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 06/18/2024] [Indexed: 07/17/2024] Open
Abstract
STUDY QUESTION Does the concurrent type 2 diabetes mellitus (T2DM) aggravate the features and prognosis of PCOS in patients undergoing sleeve gastrectomy (SG)? SUMMARY ANSWER For patients undergoing SG with obesity, concurrent T2DM is associated with aggravated metabolic but milder reproductive features of PCOS and did not attenuate the resumption of regular menstruation for up to 1 year after surgery. WHAT IS KNOWN ALREADY Women with T2DM have an increased risk of PCOS. However, whether concurrent T2DM further increases the disease burden and treatment difficulty of PCOS in patients with obesity requires further investigation. STUDY DESIGN, SIZE, DURATION This was a single-center, two-arm, prospective, cohort study enrolling a total of 329 women with PCOS and scheduled for SG because of obesity at an university-affiliated hospital between January 2020 and August 2023, with a 1-year follow-up after surgery. PARTICIPANTS/MATERIALS, SETTING, METHODS Comparisons were made between patients with T2DM (PCOS+T2DM) and without (PCOS) to examine the impact of T2DM on the metabolic, reproductive, and psychological features of PCOS. The follow-up data of weight loss and menstruation were analyzed to determine the impact of T2DM on PCOS prognosis for up to 1 year after SG. MAIN RESULTS AND THE ROLE OF CHANCE After controlling for confounders, patients in the PCOS+T2DM group (n = 98) showed more severe insulin resistance, glucose intolerance, dyslipidemia, and non-alcoholic fatty liver disease (NAFLD) (NAFLD activity score 4.31 ± 1.15 versus 3.52 ± 1.42, P < 0.001) than those in the PCOS group (n = 149). In addition, the PCOS+T2DM group had a lower level of total testosterone (1.63 ± 0.69 versus 1.82 ± 0.76, P = 0.045), a lower ratio between luteinizing hormone and follicle-stimulating hormone (median 1.48 versus 1.68, P = 0.030), and a lower proportion of patients with polycystic ovarian morphology (88% versus 96%, P = 0.022) than the PCOS group. As a result, the two groups differed significantly in terms of the Rotterdam classification of PCOS (P = 0.009). No significant difference was detected by group in the psychological features of PCOS except a lower degree of emotional eating in the PCOS+T2DM group (P = 0.001). Although the PCOS+T2DM group took longer to resume regular menstruation after SG (P = 0.037), the two groups had similar proportions of patients with regular menstruation (85% versus 87%, P = 0.758) 1 year after SG, which was further confirmed by subgroup analyses by body mass index. LIMITATIONS, REASONS FOR CAUTION The prognosis of PCOS after SG mainly focused on the results of menstruation rather than a complete evaluation of the remission of the disease. WIDER IMPLICATIONS OF THE FINDINGS Our study showed that, for patients with obesity, concurrent T2DM is associated with aggravated metabolic but milder reproductive features of PCOS and did not attenuate the resumption of regular menstruation for up to 1 year after surgery. Our study also highlights the need for high-quality studies with a more comprehensive evaluation of the impact of T2DM on the prognosis of patients with PCOS after SG. STUDY FUNDING/COMPETING INTEREST(S) This study was funded by the National Natural Science Foundation of China Grants (82100853), the Natural Science Foundation of Shandong Province of China (ZR2021QH028), and the Clinical Research Project of Shandong University (2020SDUCRCC024). The authors have no conflicts of interest. TRIAL REGISTRATION Chinese Clinical Trial Registry with No. ChiCTR1900026845.
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Affiliation(s)
- Tao Zhu
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- The First Clinical College, Shandong University, Jinan, Shandong, China
| | - Yian Zhao
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- The First Clinical College, Shandong University, Jinan, Shandong, China
| | - Xiaocheng Bi
- Department of Periodontology, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Shandong Key Laboratory of Oral Tissue Regeneration, Jinan, Shandong, China
- Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, Shandong, China
| | - Peikai Zhao
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- The First Clinical College, Shandong University, Jinan, Shandong, China
| | - Teng Liu
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- State Key University Laboratory of Diabetes and Obesity Surgery, Shandong University, Jinan, Shandong, China
| | - Yuxuan Li
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- The First Clinical College, Shandong University, Jinan, Shandong, China
| | - Shumin Li
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong, China
- Department of Reproductive Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shigang Zhao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Shandong University, Jinan, Shandong, China
| | - Shaozhuang Liu
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- State Key University Laboratory of Diabetes and Obesity Surgery, Shandong University, Jinan, Shandong, China
| | - Xin Huang
- Division of Bariatric and Metabolic Surgery, Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- State Key University Laboratory of Diabetes and Obesity Surgery, Shandong University, Jinan, Shandong, China
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Belsti Y, Moran LJ, Goldstein R, Mousa A, Cooray SD, Baker S, Gupta Y, Patel A, Tandon N, Ajanthan S, John R, Naheed A, Chakma N, Lakshmi JK, Zoungas S, Billot L, Desai A, Bhatla N, Prabhakaran D, Gupta I, de Silva HA, Kapoor D, Praveen D, Farzana N, Enticott J, Teede H. Development of a risk prediction model for postpartum onset of type 2 diabetes mellitus, following gestational diabetes; the lifestyle InterVention in gestational diabetes (LIVING) study. Clin Nutr 2024; 43:1728-1735. [PMID: 38909514 DOI: 10.1016/j.clnu.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/18/2024] [Accepted: 06/07/2024] [Indexed: 06/25/2024]
Abstract
AIMS This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth. METHODS Utilising data from 1299 women in the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, two models were developed: one for pregnancy and another for postpartum. Key predictors included glucose test results, medical history, and biometric indicators. RESULTS Of the initial cohort, 124 women developed T2DM within three years. The study identified seven predictors for the antenatal T2DM risk prediction model and four for the postnatal one. The models demonstrated good to excellent predictive ability, with Area under the ROC Curve (AUC) values of 0.76 (95% CI: 0.72 to 0.80) and 0.85 (95% CI: 0.81 to 0.88) for the antenatal and postnatal models, respectively. Both models underwent rigorous validation, showing minimal optimism in predictive capability. Antenatal model, considering the Youden index optimal cut-off point of 0.096, sensitivity, specificity, and accuracy were measured as 70.97%, 70.81%, and 70.82%, respectively. For the postnatal model, considering the cut-off point 0.086, sensitivity, specificity, and accuracy were measured as 81.40%, 75.60%, and 76.10%, respectively. CONCLUSIONS These models are effective for predicting T2DM risk in women with GDM, although external validation is recommended before widespread application.
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Affiliation(s)
- Yitayeh Belsti
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Rebecca Goldstein
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Shamil D Cooray
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
| | - Susanne Baker
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Yashdeep Gupta
- All India Institute of Medical Sciences, New Delhi, India
| | - Anushka Patel
- The George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Renu John
- The George Institute for Global Health, New Delhi, India
| | - Aliya Naheed
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Nantu Chakma
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Josyula K Lakshmi
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India; The George Institute for Global Health, New Delhi, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Laurent Billot
- The George Institute for Global Health, New Delhi, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Ankush Desai
- Department of Endocrinology, Goa Medical College, Goa, India
| | - Neerja Bhatla
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Ishita Gupta
- Centre for Chronic Disease Control, New Delhi, India
| | - H Asita de Silva
- Clinical Trials Unit, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Deksha Kapoor
- All India Institute of Medical Sciences, New Delhi, India
| | - Devarsetty Praveen
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Hyderabad, India
| | - Noshin Farzana
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
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Attia GM, Alharbi OA, Aljohani RM. The Impact of Irregular Menstruation on Health: A Review of the Literature. Cureus 2023; 15:e49146. [PMID: 38130524 PMCID: PMC10733621 DOI: 10.7759/cureus.49146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
Women are considered to have an irregular menstrual cycle if their cycle length is less than 21 days or more than 35 days, accompanied by less or very severe blood flow. The prevalence of menstrual cycle irregularities varies across countries. Irregular periods can occur due to changes in the body's levels of estrogen and progesterone hormones, which disrupt the normal pattern of the period. Menstrual irregularity has been found to be associated with various diseases and medical conditions, such as metabolic syndrome, coronary heart disease, type 2 diabetes mellitus, and rheumatoid arthritis. Anemia, osteoporosis, psychological problems, impaired quality of life, and infertility have also been recorded. Moreover, a significant correlation between irregular periods and the risk of developing pregnancy-related hypertensive disorders, as well as an increased risk of adverse obstetric and neonatal outcomes, has been proven. Therefore, irregular menstruation is considered an important health indicator among women. Physical, mental, social, psychological, and reproductive problems are often associated with menstrual irregularities. Thus, evaluating the factors associated with irregular menstruation is necessary to determine appropriate preventive and treatment strategies and to decrease the associated health problems. The aim of this review was to define normal and irregular menstruation, their types, and prevalence, to recognize the risk factors and causes of irregular menstruation, and to understand their impact on women's health.
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Affiliation(s)
- Ghalia M Attia
- Medical Histology and Cell Biology, Mansoura University, Mansoura, EGY
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