| Title |
The correlation between serum AMH and HOMA-IR among PCOS phenotypes
|
|---|---|
| Published in |
BMC Research Notes, February 2018
|
| DOI | 10.1186/s13104-018-3207-y |
| Pubmed ID | |
| Authors |
Budi Wiweko, Indra Indra, Cynthia Susanto, Muharam Natadisastra, Andon Hestiantoro |
| Abstract |
Polycystic ovarian syndrome (PCOS) is known to be one of the most prevalent endocrine disorders affecting reproductive age women. One of the endocrine disorder is hyperinsulinemia, which corresponds with the severity of PCOS. However, the pathogenesis of PCOS is not fully understood, but one theory of anti-mullerian hormone (AMH) has been proposed as one of the factor related to the degree of severity of PCOS. However, there are no clear correlation between levels of AMH with the incidence of insulin resistance in PCOS patients especially in Indonesia. This is a cross-sectional study involving reproductive age women aged 18-35 years. Subjects were recruited consecutively at Dr. Cipto Mangunkusumo General Hospital between 2011 until 2014. PCOS women diagnosed using 2003 Rotterdam criteria were categorized into four different PCOS phenotypes. Subsequently, serum level of AMH and HOMA-IR was measured and evaluated with correlation tests performed using SPSS 11.0 RESULTS: A total of 125 PCOS patients were included in a study conducted within a 3-year period. Phenotype 1 (anovulation, hyperandrogenism, and polycystic ovaries) shows the highest levels of AMH and HOMA-IR, which decreases in accordance to severity level (p < 0.005). The positive correlation between AMH and HOMA-IR persisted even after adjusting for BMI in multivariate analysis. There was a positive correlation between serum AMH and HOMA IR levels. Serum AMH and HOMA IR levels were significantly different across the four PCOS phenotypes; with the highest values were present with phenotype 1. |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 20 | 20% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Master | 12 | 12% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 12 | 12% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 36% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Nursing and Health Professions | 9 | 9% |
| Unspecified | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 36 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2018.
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#20,529,980
of 23,099,576 outputs
Outputs from BMC Research Notes
#3,583
of 4,287 outputs
Outputs of similar age
#380,476
of 442,933 outputs
Outputs of similar age from BMC Research Notes
#95
of 119 outputs
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