ABSTRAK
Latar Belakang: Sindroma ovarium polikistik (SOPK) merupakan kelainan kompleks endokrin terbanyak pada usia reproduksi. Ketidakseimbangan hormonmerupakan salah satu temuan SOPK yang terkait dengan patofisiologinya.Adanya perbedaan kejadian resistensi insulin mungkin terkait dengan perbedaankarakteristik hormon pada pasien SOPK pada berbagai fenotipe, salah satunyaHormon Anti-Mullerian (HAM). Metode: Desain penelitian potong lintang (cross sectional), pengambilan subjekdimulai dari identifikasi kelompok dengan SOPK menggunakan titik potongHAM >4,45 ng/dl, lalu akan dikelompokkan menjadi empat kelompok sesuaidengan fenotipnya berdasarkan kriteria Rotterdam 2003, di klinik Yasmin danMakmal Endokrinologi di bagian Obstetri dan Ginekologi RSUPN Dr.CiptoMangunkusumo selama tahun 2011 ?2014. Resistensi insulin dinilaimenggunakan homeostatic model assessment for insulin resistance (HOMA IR). Hasil: Didapatkan 125 subjek SOPK dengan kadar HAM cenderung lebih tinggipada fenotipe 1 dan lebih rendah pada fenotipe 4 (p<0,05). Selain itu, ditemukanperbedaan kadar LH dan rasio LH/FSH pada keempat fenotipe (p<0,05). NilaiHOMA IR juga lebih tinggi pada fenotipe 1 (p<0,05). Berdasarkan analisis regresilinear, didapatkan indeks massa tubuh dan HAM berkorelasi positif dengan nilaiHOMA IR (r=0,19 p=0,015 dan r=0,53 p<0,001, berturut-turut). Kesimpulan: Terdapat korelasi positif kadar HAM terhadap nilai HOMA IR.Pada keempat fenotipe SOPK didapatkan kadar HAM dan HOMA IR lebih tinggipada fenotipe 1 dan semakin rendah pada fenotipe 4. ABSTRACT Background: Polycystic ovary syndrome (PCOS) is an endocrine disorder that is

the most complex in the reproductive age. Hormonal imbalance remains a part of

its pathophysiology. Insulin resistance might be linked with difference in

hormonal parameter across four phenotypes of PCOS, especillay in AMH level.

Method: The study design was cross-sectional (cross-sectional). Subject retrieval

starts from the identification of the group with PCOS (with cutt-off AMH serum

>4.45 ng/dl), and will be grouped into four groups according to their phenotype

based on the criteria of Rotterdam in 2003, in the clinic Yasmin and

Endocrinology Laboratory at the Obstetrics and Gynecology RSUPN Dr.Cipto

Mangunkusomo during 2011 -2014. Insulin resistance was counted using

homeostatic model assessment for insulin resistance (HOMA IR).

Result: A total of 125 PCOS patients were recruited with AMH serum

significantly higher among phenotype 1 and lower among phenotype 4 (p<0.05).

Besides, Lh serum and LH/FSH ratio were also different across four phenotypes

(p<0.05). The value of HOMA IR tend to be higher among phenotype 1 (p<0.05).

Using multivariable linear regression analysis, body mass index and AMH serum

were positively correlated with HOMA IR (r=0.19 p=0.015 and r=0.53 p<0.001,

respectively).

Conclusion: There was a positive correlation between AMH serum and HOMA

IR value. The four PCOS phenotypes had significantly different value of HAM

serum and HOMA IR with phenotype 1 possed higher value among the others.

;Background: Polycystic ovary syndrome (PCOS) is an endocrine disorder that is

the most complex in the reproductive age. Hormonal imbalance remains a part of

its pathophysiology. Insulin resistance might be linked with difference in

hormonal parameter across four phenotypes of PCOS, especillay in AMH level.

Method: The study design was cross-sectional (cross-sectional). Subject retrieval

starts from the identification of the group with PCOS (with cutt-off AMH serum

>4.45 ng/dl), and will be grouped into four groups according to their phenotype

based on the criteria of Rotterdam in 2003, in the clinic Yasmin and

Endocrinology Laboratory at the Obstetrics and Gynecology RSUPN Dr.Cipto

Mangunkusomo during 2011 -2014. Insulin resistance was counted using

homeostatic model assessment for insulin resistance (HOMA IR).

Result: A total of 125 PCOS patients were recruited with AMH serum

significantly higher among phenotype 1 and lower among phenotype 4 (p<0.05).

Besides, Lh serum and LH/FSH ratio were also different across four phenotypes

(p<0.05). The value of HOMA IR tend to be higher among phenotype 1 (p<0.05).

Using multivariable linear regression analysis, body mass index and AMH serum

were positively correlated with HOMA IR (r=0.19 p=0.015 and r=0.53 p<0.001,

respectively).

Conclusion: There was a positive correlation between AMH serum and HOMA

IR value. The four PCOS phenotypes had significantly different value of HAM

serum and HOMA IR with phenotype 1 possed higher value among the others.

;Background: Polycystic ovary syndrome (PCOS) is an endocrine disorder that is

the most complex in the reproductive age. Hormonal imbalance remains a part of

its pathophysiology. Insulin resistance might be linked with difference in

hormonal parameter across four phenotypes of PCOS, especillay in AMH level.

Method: The study design was cross-sectional (cross-sectional). Subject retrieval

starts from the identification of the group with PCOS (with cutt-off AMH serum

>4.45 ng/dl), and will be grouped into four groups according to their phenotype

based on the criteria of Rotterdam in 2003, in the clinic Yasmin and

Endocrinology Laboratory at the Obstetrics and Gynecology RSUPN Dr.Cipto

Mangunkusomo during 2011 -2014. Insulin resistance was counted using

homeostatic model assessment for insulin resistance (HOMA IR).

Result: A total of 125 PCOS patients were recruited with AMH serum

significantly higher among phenotype 1 and lower among phenotype 4 (p<0.05).

Besides, Lh serum and LH/FSH ratio were also different across four phenotypes

(p<0.05). The value of HOMA IR tend to be higher among phenotype 1 (p<0.05).

Using multivariable linear regression analysis, body mass index and AMH serum

were positively correlated with HOMA IR (r=0.19 p=0.015 and r=0.53 p<0.001,

respectively).

Conclusion: There was a positive correlation between AMH serum and HOMA

IR value. The four PCOS phenotypes had significantly different value of HAM

serum and HOMA IR with phenotype 1 possed higher value among the others.