Literature DB >> 24534286

Cluster analysis of cardiovascular and metabolic risk factors in women of reproductive age.

Chii-Ruey Tzeng1, Yuan-chin Ivan Chang2, Yu-chia Chang2, Chia-Woei Wang1, Chi-Huang Chen1, Ming-I Hsu3.   

Abstract

OBJECTIVE: To study the association between endocrine disturbances and metabolic complications in women seeking gynecologic care.
DESIGN: Retrospective study, cluster analysis.
SETTING: Outpatient clinic, university medical center. PATIENT(S): 573 women, including 384 at low risk and 189 at high risk of cardiometabolic disease. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Cardiovascular and metabolic parameters and clinical and biochemical characteristics. RESULT(S): Risk factors for metabolic disease are associated with a low age of menarche, high levels of high-sensitivity C-reactive protein and liver enzymes, and low levels of sex hormone-binding globulin. Overweight/obese status, polycystic ovary syndrome, oligo/amenorrhea, and hyperandrogenism were found to increase the risk of cardiometabolic disease. However, hyperprolactinemia and premature ovarian failure were not associated with the risk of cardiometabolic disease. In terms of androgens, the serum total testosterone level and free androgen index but not androstenedione or dehydroepiandrosterone sulfate (DHEAS) were associated with cardiometabolic risk. CONCLUSION(S): Although polycystic ovary syndrome is associated with metabolic risk, obesity was the major determinant of cardiometabolic disturbances in reproductive-aged women. Hyperprolactinemia and premature ovarian failure were not associated with the risk of cardiovascular and metabolic diseases. CLINICAL TRIAL REGISTRATION NUMBER: NCT01826357.
Copyright © 2014 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiovascular risk; PCOS; cluster analysis; metabolic syndrome

Mesh:

Substances:

Year:  2014        PMID: 24534286     DOI: 10.1016/j.fertnstert.2014.01.023

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  10 in total

1.  Paternal history of diabetes mellitus and hypertension affects the prevalence and phenotype of PCOS.

Authors:  Chen Cheng; Haolin Zhang; Yue Zhao; Rong Li; Jie Qiao
Journal:  J Assist Reprod Genet       Date:  2015-10-06       Impact factor: 3.412

2.  Role of adiponectin in ovarian follicular development and ovarian reserve.

Authors:  Zaher Merhi; Ali A Bazzi; Elizabeth A Bonney; Erkan Buyuk
Journal:  Biomed Rep       Date:  2019-05-17

3.  Anti-mullerian hormone attenuates insulin resistance and systemic inflammation in old obese C57BL/6 male mice.

Authors:  Faezeh Poursoleiman; Hamid Zand; Hamid Gholami Pourbadie; Hadi Monji; Katayoun Pourvali
Journal:  J Diabetes Metab Disord       Date:  2021-11-03

4.  Optimisation of a metabotype approach to deliver targeted dietary advice.

Authors:  Elaine Hillesheim; Miriam F Ryan; Eileen Gibney; Helen M Roche; Lorraine Brennan
Journal:  Nutr Metab (Lond)       Date:  2020-09-29       Impact factor: 4.169

Review 5.  Clinical characteristics in Taiwanese women with polycystic ovary syndrome.

Authors:  Ming-I Hsu
Journal:  Clin Exp Reprod Med       Date:  2015-09-30

6.  Assessment of serum prolactin levels in acute myocardial infarction: The role of pharmacotherapy.

Authors:  Hayder M Al-Kuraishy; Ali I Al-Gareeb; Mohamed S Awad; Sinan B Alrifai
Journal:  Indian J Endocrinol Metab       Date:  2016 Jan-Feb

7.  Cluster analysis: a new approach for identification of underlying risk factors for coronary artery disease in essential hypertensive patients.

Authors:  Qi Guo; Xiaoni Lu; Ya Gao; Jingjing Zhang; Bin Yan; Dan Su; Anqi Song; Xi Zhao; Gang Wang
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

8.  Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis.

Authors:  Matthew Dapas; Frederick T J Lin; Girish N Nadkarni; Ryan Sisk; Richard S Legro; Margrit Urbanek; M Geoffrey Hayes; Andrea Dunaif
Journal:  PLoS Med       Date:  2020-06-23       Impact factor: 11.069

9.  Identification of COVID-19 Clinical Phenotypes by Principal Component Analysis-Based Cluster Analysis.

Authors:  Wenjing Ye; Weiwei Lu; Yanping Tang; Guoxi Chen; Xiaopan Li; Chen Ji; Min Hou; Guangwang Zeng; Xing Lan; Yaling Wang; Xiaoqin Deng; Yuyang Cai; Hai Huang; Ling Yang
Journal:  Front Med (Lausanne)       Date:  2020-11-12

Review 10.  Role of hormonal and inflammatory alterations in obesity-related reproductive dysfunction at the level of the hypothalamic-pituitary-ovarian axis.

Authors:  Michelle Goldsammler; Zaher Merhi; Erkan Buyuk
Journal:  Reprod Biol Endocrinol       Date:  2018-05-09       Impact factor: 5.211

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.