Home > Riviste > Minerva Obstetrics and Gynecology > Fascicoli precedenti > Articles online first > Minerva Obstetrics and Gynecology 2022 Aug 01

ULTIMO FASCICOLO
 

JOURNAL TOOLS

Opzioni di pubblicazione
eTOC
Per abbonarsi
Sottometti un articolo
Segnala alla tua biblioteca
 

ARTICLE TOOLS

Publication history
Estratti
Permessi
Per citare questo articolo
Share

 

Original Article   

Minerva Obstetrics and Gynecology 2022 Aug 01

DOI: 10.23736/S2724-606X.22.05124-7

Copyright © 2022 EDIZIONI MINERVA MEDICA

lingua: Inglese

Clinical and laboratory features in women with different phenotypes of polycystic ovary syndrome

Aghdas SAFARI 1 , Ali MOSADEGHKHAH 2, Maryam K. KHAMENEIE 1

1 Department of Obstetrics and Gynecology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran; 2 Department of Endocrinology & Metabolism, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran


PDF


BACKGROUND: Misdiagnosis is still an obstacle in the workup of polycystic ovary syndrome. We compared patients’ characteristics among phenotypes of the syndrome and assessed the association of the characteristics with oligo-anovulation, hyperandrogenism, and polycystic ovary.
METHODS: In the infertility department of a teaching hospital, we performed a cross-sectional study. Based on the Rotterdam criteria, we included 136 patients with polycystic ovary syndrome and 46 healthy controls.
RESULTS: The most common phenotype was A (N=45;33%). Overall, A and C had larger body mass index (P=0.019 and 0.030, respectively) and waist circumference (P=0.005 and 0.003) than control. Also, A and D had higher serum anti-mullerian hormone than control (both P<0.001) or phenotype C (P<0.001 and =0.01). Phenotypes A and C had higher insulin than control (both P=0.004). The highest level of estradiol was for control and the lowest for B. The lowest high-density lipoprotein was for C; and A to C phenotypes had higher triglyceride than control (P=0.002, <0.001, and =0.041). Larger body mass was associated with hyperandrogenism [adjusted odds ratio (95% CI) =1.11(1.01, 1.23), P=0.034]; higher anti-mullerian hormone and high-density lipoprotein were related to oligo-anovulation [1.2(1.07,1.37), P=0.004; 1.1(1.00,1.13), P=0.041]. Higher insulin and lower high-density lipoprotein were associated with polycystic ovary [1.11(1.03,1.21), P=0.013; 0.9(0.82,0.97), P=0.014].
CONCLUSIONS: There are potentials in body mass index, waist circumference, serum anti-mullerian hormone, insulin, estradiol, high-density lipoprotein, and triglyceride concentration for differentiating the phenotypes of polycystic ovary syndrome and for more precise diagnosis of hyperandrogenism, oligo-anovulation, and polycystic ovary morphology.


KEY WORDS: Polycystic ovary; Syndrome; Phenotype; Anti-Mullerian; Hyperandrogenism; Oligo-anovulation

inizio pagina