Is there association between QRS-T angle, and hormonal and sonographic features in polycystic ovarian syndrome?
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2020;
24:7372-7380. [PMID:
32706076 DOI:
10.26355/eurrev_202007_21905]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE
Polycystic ovary syndrome (PCOS) is a complex disorder comprising ovulatory dysfunction, hyperandrogenism, and polycystic ovaries (PCO). Several studies have used electrocardiography (ECG) to assess PCOS patients. We aimed to analyze the associations among QRS-T angle, hormonal parameters, and ovarian and thyroid sonography in PCOS.
PATIENTS AND METHODS
Adult females with PCOS, but without comorbid illness, were included in our study. Demographic and clinical features (body mass index, Ferriman-Gallwey score, phenotype) were analyzed, as well as laboratory test results. Based on standard 12-lead ECGs, frontal plane QRS-T angles were calculated, defined as the angle between the mean QRS and the mean T vector, and verified with automatic instrument measurements. Values within the range -46 to +59° were classified as "normal", and those out of this range as "abnormal". Patients were divided into groups according to the presence of thyroid nodules, echogenicity (normal/decreased), and vascularity (normal/increased) based on thyroid sonography, and by mean ovarian volume (MOV ≥ 10/< 10 mL) or apparent PCO based on ovarian sonography.
RESULTS
The mean age of the 92 patients was 22.68 ± 4.58 years; 11 patients (11.9%) had abnormal QRS-T angles. Demographic, clinical, electrocardiographic, and laboratory parameters were similar between the normal and abnormal QRS-T angle groups, with the exception of MOV, which was higher in the latter group (p=0.032). Among all clinical and laboratory parameters, only MOV was a strong predictor of abnormal QRS-T angle (p=0.016).
CONCLUSIONS
Our study is the first to analyze the association between the QRS-T angle and hormonal and sonographic features of patients with PCOS. A small percentage of patients had abnormal QRS-T angles, and a large MOV was a strong predictor of this abnormality.
Collapse