Abstract

Aims

The association between premature ovarian failure (POF) and cardiovascular diseases has been investigated in a few studies, but none have looked at ventricular repolarization abnormalities in these patients. In this study, we aimed to evaluate the ventricular repolarization by QT dynamicity in patients with POF.

Methods and results

We enrolled 26 female patients (mean age 37.5 ± 10.1 years) with primary POF and 31 healthy female subjects (mean age 37.5 ± 9.0 years). The linear regression slopes of the QT interval measured to the apex and to the end of the T-wave plotted against RR intervals (QTapex/RR and QTend/RR slopes, respectively) were calculated from 24 h Holter recordings using a standard algorithm. QTapex/RR and QTend/RR slopes were more steeper in the POF patients in contrary to healthy control subjects (QTapex/RR = 0.184 ± 0.022 vs. 0.131 ± 0.019, P < 0.001; QTend/RR = 0.164 ± 0.021 vs. 0.128 ± 0.018, P < 0.001). Pearson's correlation analyses revealed a stronger negative correlation between oestradiol (E2) and QTapex/RR (r = –0.715, P < 0.001). There was also a moderate negative correlation between E2 and QTend/RR (r = –0.537, P < 0.001). Serum follicle-stimulating hormone level was positively correlated with QTapex/RR (r = 0.681, P < 0.001) and QTend/RR (r = 0.531, P < 0.001).

Conclusions

Our study results suggest that QT dynamicity is impaired in patients with POF despite the absence of overt cardiovascular involvement. Further studies are needed to elucidate the prognostic significance and clinical implications of impaired ventricular repolarization in patients with POF.

What's new?

  • The exact mechanism of sex hormone-induced changes in predilection for cardiac arrhythmia development is unclear.

  • QT dynamicity is an available and simple marker to evaluate ventricular repolarization properties.

  • Our study findings suggest that QT dynamicity is impaired in patients with premature ovarian failure (POF) despite the absence of overt cardiovascular involvement.

  • Negative correlation between oestradiol level and QT dynamicity indices (QTend/RR and Tpeak–Tend/RR) may explain the possible pathophysiological mechanism of abnormal ventricular repolarization in POF patients.

Introduction

Premature ovarian failure (POF) is defined as a deviation from normal ovarian function and diagnostic features comprise the presence of amenorrhoea, hypergonadotropinaemia and oestrogen deficiency before the age of 40 years.1 Previously reported epidemiological studies showed that women with a loss of ovarian function at early ages were at increased risk for cardiovascular diseases (CVDs).2

Sex hormones and sex-related differences have been reported to be associated with the occurrences of ventricular arrhythmias in several animal and human studies.3–7 The fact that women are at particular risk for ventricular arrhythmias suggests the possibility that the dominant female hormone oestrogen modulates arrhythmia vulnerability, e.g. prolongation of QT interval.8–10 But, to date, the exact mechanism of sex hormone (oestrogen, progesterone, and testosterone)-induced changes in predilection for cardiac arrhythmia development is not fully understood.

QT dynamicity, which represents the relationship of QT interval/RR interval, is an non-invasive marker to evaluate ventricular repolarization properties11 and has been shown to have a prognostic importance in many CVDs such as heart failure,12 ischaemic cardiomyopathy13 and ventricular fibrillation in the absence of structural heart disease.14 Abnormal QT dynamicity (steep QT/RR regression slope), which means abnormal rate adaptation of ventricular repolarization, has been considered to reflect the diminished cardiac autonomic functions.15,16

The association between POF and QT dynamicity has not been evaluated as yet. Therefore, the aim of the present cross-sectional study was to evaluate and compare the QT dynamicity in POF patients and age- and gender-matched healthy control subjects.

Methods

Study population

Between November 2010 and January 2011, all consecutive eligible outpatients of Obstetrics and Gynecology Clinics with clinical and biochemical evidence of POF (n = 26) and gender-, body mass index (BMI)-, and age-matched healthy control subjects (n = 31) were enrolled in the study. Healthy women were defined as normotensive, non-smoking patients without clinical evidence of organic disease in terms of medical history, physical examination, resting 12-lead electrocardiograms (ECGs), routine biochemistry panels, and complete blood count. Also, all healthy subjects had regular menstrual cycles (25–32 days) during the last 3 months and were neither pregnant nor taking hormonal contraceptives for at least 3 months.

Patients were excluded from the study if they (i) had acute or chronic infection; (ii) had diseases interfering with the autonomic nervous system; (iii) had CVDs including hypertension, ischaemic heart disease, congestive heart failure, valvular heart disease, cardiomyopathy and cardiac arrhythmia; (iv) had a family history of sudden death; (v) had concomitant use of any licit (including beta blockers or psychotropic medications) or illicit drug; (vi) had a personal history of syncope; or (vii) had neurological diseases.

Two patients, who displayed a nearly flat T-wave (0.25–0.30 mV) in lead II of the standard ECG,17 were excluded from the study.

In all subjects, a detailed cardiovascular and systemic examination was performed at the beginning of the study with demographic data and anthropometric measures including weight, height, and BMI. Biochemistry panel including fasting blood glucose, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglyceride was obtained from all the subjects. Also, serum follicle-stimulating hormone (FSH), luteinizing hormone (LH), oestradiol (E2) levels were measured in all patients at day-time.

Informed consent was taken from each patient before enrolment. The study was in compliance with the principles outlined in the Declaration of Helsinki and approved by local ethics committee.

Laboratory assays

Serum levels of 17β-E2 were measured using a chemiluminescent immunoassay (DPC). Plasma LH and FSH levels were obtained by radioimmunoassay methods [Architest FSH, Architest LH, Chemiluminescent Microparticle Immunoassay (Abbott Laboratories)]. Lipid profile and glucose levels were measured using commercially available kits (Hitachi P800). The intra-assay and inter-assay coefficients of variation were <10.0% for all the assays, respectively.

Transthoracic echocardiography

Standard imaging was performed in the left lateral decubitus position using a commercially available system (Vingmed System Five GE Ultrasound). Images were obtained using a 2.5–3.5 MHz transducer in the parasternal and apical views. Left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), and left ventricular ejection fraction (LVEF) were determined with M-mode echocardiography under two-dimensional guidance in the parasternal long-axis view, according to the recommendations of the American Society of Echocardiography and European Association of Echocardiography.18

QT analysis

QT dynamicity parameters were obtained with a portable battery-operated three-channel analogue recorder (Elatec Holter systems, ELA Medical) and analysed using ELATEC Holter software (ELA Medical). The Holter ECG recordings from the two groups of patients and healthy individuals are stored with a sampling frequency of 200 Hz and an amplitude resolution of 10 μV. The recordings were performed using three orthogonal bipolar leads (3-OL) X, Y, and Z. The X lead (horizontal plane) was positioned at the fourth inter-costal space on the two mid-axillary lines; the Y lead (frontal plane) immediately under the right clavicle and on either the upper leg or left iliac crest; the Z lead (sagittal plane) at the fourth inter-costal space (V2 position) and posteriorly on the left side of the vertebral column. Positive electrodes were, respectively, left, inferior, and anterior. The ECGs were corrected for artefacts and templates adjusted if necessary. Recordings were eligible if they had >18 h of analysable data. All tapes were manually edited to eliminate artefacts and premature events. To verify the accuracy of the QT measurement, all recordings were checked in a large superimposed beat display, indicating the positions of the QT-measurement points for each beat. The verified digitized data were then processed using dedicated QT analysis software, which converted the 24 h recording into 2880 templates obtained at 30 s intervals. To improve the signal-to-noise ratio, one median complex was computed every 6 s from the consecutive sinus beats, and then the five median beats within each 30 s template were averaged in order to obtain a single representative P–QRS–T complex for each of the 2880 templates. For each template, the algorithm automatically measured the mean and standard deviation (SD) of the QTapex, the QTend, and the RR interval (in ms). The T-wave apex was determined by fitting a parabola through the peak of the T-wave, whereas the T-wave end was determined by the intersection of the tangent to the downslope of the T-wave with the isoelectric baseline. In each template, the QTapex measurement was performed only if the amplitude of the T-wave was >0.15 mV. For each template, the mean QTapex and QTend values were then plotted against the mean cycle length of the 30 s interval. The program automatically computed both linear regressions (QTapex/RR and QTend/RR) for the entire 24 h and provided the slope, the intersect, and the correlation coefficient of the linear regressions automatically (Figure 1). Additionally, Tpeak–Tend/RR slope was also calculated from those data as a marker of ventricular repolarization dynamics.19 In healthy participants, the normal range of QTapex and QTend/RR slope is 0.11–0.18 for 24 h20 and about 0.15 for day-time.21 QT dynamicity was analysed by a single operator (U.C.) and validated by another (K.M.G.).

QT/RR linear regression slopes recorded from a healthy control subject (A), and from a patient with POF (B).
Figure 1

QT/RR linear regression slopes recorded from a healthy control subject (A), and from a patient with POF (B).

Statistical analysis

Numerical variables with a normal distribution were presented as the mean ± standard deviation, numerical variables with a skewed distribution were presented as the median (minimum and maximum), and categorical variables were presented as percentages. For numerical variables, an independent sample t-test and Mann–Whitney U-test were used for inter-group comparisons. χ2 Test and Fischer's exact χ2 test were used for comparisons of categorical variables. Pearson's correlation analysis was performed to evaluate the association of various variables, such as age, resting heart rate, systolic and diastolic blood pressure (BP), LVEF, LVEDD, LVESD, and sex hormone levels with QT dynamicity indices. Multivariate linear regression analysis was performed to evaluate the effects of various variables, such as age, sex, baseline heart rate, systolic and diastolic BP, smoking status, LVEF, systolic and diastolic BP values, serum FSH, and E2 levels on QT dynamicity indices. Statistical analyses were performed using SPSS statistical software (version 20.0; SPSS Inc.). A two-tailed P < 0.05 was considered to be statistically significant.

Results

A total of 26 females (age 37.5 ± 10.1 years) with primary POF and 31 healthy females (age 37.5 ± 9.0 years) were enrolled. Baseline characteristics of the study population are shown in Table 1.

Table 1

Baseline demographic characteristics and lipid profiles of the POF and control groups

ParametersPOF (n = 26)Control group (n = 31)P value
Age (years)37.5 ± 10.137.5 ± 9.00.362
BMI (kg/m2)25.0 ± 3.623.3 ± 1.30.074
Systolic blood pressure (mmHg)128.6 ± 12.6124.4 ± 16.60.089
Diastolic blood pressure (mmHg)80.2 ± 14.478.4 ± 14.20.658
Smoking (%)10 (38.4)11 (35.4%)0.745
LVEF (%)62.4 ± 4.865.6 ± 5,80.132
LVEDD (mm)48.1 ± 5.146.4 ± 4.00.344
Total cholestrol (mg/dL)201.6 ± 34.7200.9 ± 49.00.986
Triglyceride (mg/dL)117.8 ± 53.3114.5 ± 50.00.671
HDL-cholestrol (mg/dL)52.4 ± 10.255.6 ± 8.90.223
LDL-cholestrol (mg/dL)120.9 ± 32.3123.0 ± 44.90.335
FPG (mg/dL)80.2 ± 7.676.3 ± 4.40.462
Serum creatinine (mg/dL)0.85 ± 0.450.79 ± 0.350.088
Age at diagnosis (years)30.2 ± 11.6
Oestradiol (pg/mL)25.0 ± 15.684.7 ± 63.9<0.001
FSH (IU/L)47.9 ± 17.517.9 ± 11.5<0.001
LH (IU/L)19.1 ± 11.15.7 ± 3.4<0.001
ParametersPOF (n = 26)Control group (n = 31)P value
Age (years)37.5 ± 10.137.5 ± 9.00.362
BMI (kg/m2)25.0 ± 3.623.3 ± 1.30.074
Systolic blood pressure (mmHg)128.6 ± 12.6124.4 ± 16.60.089
Diastolic blood pressure (mmHg)80.2 ± 14.478.4 ± 14.20.658
Smoking (%)10 (38.4)11 (35.4%)0.745
LVEF (%)62.4 ± 4.865.6 ± 5,80.132
LVEDD (mm)48.1 ± 5.146.4 ± 4.00.344
Total cholestrol (mg/dL)201.6 ± 34.7200.9 ± 49.00.986
Triglyceride (mg/dL)117.8 ± 53.3114.5 ± 50.00.671
HDL-cholestrol (mg/dL)52.4 ± 10.255.6 ± 8.90.223
LDL-cholestrol (mg/dL)120.9 ± 32.3123.0 ± 44.90.335
FPG (mg/dL)80.2 ± 7.676.3 ± 4.40.462
Serum creatinine (mg/dL)0.85 ± 0.450.79 ± 0.350.088
Age at diagnosis (years)30.2 ± 11.6
Oestradiol (pg/mL)25.0 ± 15.684.7 ± 63.9<0.001
FSH (IU/L)47.9 ± 17.517.9 ± 11.5<0.001
LH (IU/L)19.1 ± 11.15.7 ± 3.4<0.001

Data are given as number (%) or mean ± SD.

BMI, body mass index; FPG, fasting plasma glucose; FSH, follicle-stimulating hormone; HDL, high-density lipoprotein; LDL, low-density lipoprotein; LH, luteinizing hormone; LVEDD, left ventricle end-diastolic diameter; LVEF, left ventricle ejection fraction; POF, premature ovarian failure.

Table 1

Baseline demographic characteristics and lipid profiles of the POF and control groups

ParametersPOF (n = 26)Control group (n = 31)P value
Age (years)37.5 ± 10.137.5 ± 9.00.362
BMI (kg/m2)25.0 ± 3.623.3 ± 1.30.074
Systolic blood pressure (mmHg)128.6 ± 12.6124.4 ± 16.60.089
Diastolic blood pressure (mmHg)80.2 ± 14.478.4 ± 14.20.658
Smoking (%)10 (38.4)11 (35.4%)0.745
LVEF (%)62.4 ± 4.865.6 ± 5,80.132
LVEDD (mm)48.1 ± 5.146.4 ± 4.00.344
Total cholestrol (mg/dL)201.6 ± 34.7200.9 ± 49.00.986
Triglyceride (mg/dL)117.8 ± 53.3114.5 ± 50.00.671
HDL-cholestrol (mg/dL)52.4 ± 10.255.6 ± 8.90.223
LDL-cholestrol (mg/dL)120.9 ± 32.3123.0 ± 44.90.335
FPG (mg/dL)80.2 ± 7.676.3 ± 4.40.462
Serum creatinine (mg/dL)0.85 ± 0.450.79 ± 0.350.088
Age at diagnosis (years)30.2 ± 11.6
Oestradiol (pg/mL)25.0 ± 15.684.7 ± 63.9<0.001
FSH (IU/L)47.9 ± 17.517.9 ± 11.5<0.001
LH (IU/L)19.1 ± 11.15.7 ± 3.4<0.001
ParametersPOF (n = 26)Control group (n = 31)P value
Age (years)37.5 ± 10.137.5 ± 9.00.362
BMI (kg/m2)25.0 ± 3.623.3 ± 1.30.074
Systolic blood pressure (mmHg)128.6 ± 12.6124.4 ± 16.60.089
Diastolic blood pressure (mmHg)80.2 ± 14.478.4 ± 14.20.658
Smoking (%)10 (38.4)11 (35.4%)0.745
LVEF (%)62.4 ± 4.865.6 ± 5,80.132
LVEDD (mm)48.1 ± 5.146.4 ± 4.00.344
Total cholestrol (mg/dL)201.6 ± 34.7200.9 ± 49.00.986
Triglyceride (mg/dL)117.8 ± 53.3114.5 ± 50.00.671
HDL-cholestrol (mg/dL)52.4 ± 10.255.6 ± 8.90.223
LDL-cholestrol (mg/dL)120.9 ± 32.3123.0 ± 44.90.335
FPG (mg/dL)80.2 ± 7.676.3 ± 4.40.462
Serum creatinine (mg/dL)0.85 ± 0.450.79 ± 0.350.088
Age at diagnosis (years)30.2 ± 11.6
Oestradiol (pg/mL)25.0 ± 15.684.7 ± 63.9<0.001
FSH (IU/L)47.9 ± 17.517.9 ± 11.5<0.001
LH (IU/L)19.1 ± 11.15.7 ± 3.4<0.001

Data are given as number (%) or mean ± SD.

BMI, body mass index; FPG, fasting plasma glucose; FSH, follicle-stimulating hormone; HDL, high-density lipoprotein; LDL, low-density lipoprotein; LH, luteinizing hormone; LVEDD, left ventricle end-diastolic diameter; LVEF, left ventricle ejection fraction; POF, premature ovarian failure.

All patients and control-group participants were in sinus rhythm and had normal 12-lead ECG results at rest. All Holter recordings had a low level of artefacts, with an adequate number of QRST templates automatically computed by the pre-defined algorithm. In all recordings, the incidence of atrial premature beats were <0.5% and the number of ventricular premature beats were 90 ± 33 (34–165)/24 h for the POF group and 88 ± 38 (29–121)/24 h for the healthy control group (P > 0.05). All 24 h linear regressions (both QTend/RR and QTapex/RR) had a correlation coefficient >0.75.

The details of the 24 h Holter recording analysis are presented in Table 2. Mean heart rate and RR intervals were similar between POF patients and control group. Also both QTapex/RR and QTend/RR slopes were more steeper in POF patients compared with the healthy control group (P < 0.001). There were no correlation between QT dynamicity with age, BMI, smoking status, LVEF, LVEDD, and systolic and diastolic BP. However, we have found that there was positive correlation between serum FSH levels with QT dynamicity indices (P < 0.001) (Figure 2) and also negative correlation between serum E2 level with QT dynamicity indices (P < 0.001) (Figure 3).

Table 2

Comparison of ventricular repolarization parameters between patients with POF and control subjects

POF (n = 26)Control group (n = 31)P value
Resting heart rate (bpm)85.0 ± 7.482.5 ± 9.60.076
Mean RR, 24 h753 ± 78759 ± 860.452
Mean RR, day-time666 ± 65675 ± 740.061
Mean RR, night-time952 ± 81963 ± 880.072
Mean heart rate (bpm), 24 h79.3 ± 10.480.2 ± 9.20.854
VPC, mean count/day (range)90 ± 33 (34–165)88 ± 38 (29–121)0.455
Mean QTac376.0 ± 15.7338.3 ± 15.30.006
Mean QTa328.5 ± 16.9296.0 ± 17.60.001
Mean QTec439.9 ± 20.0416.9 ± 16.90.002
Mean QTe383.4 ± 24.3365.6 ± 17.40.002
QTa/RR slope, 24 h0.184 ± 0.0220.131 ± 0.019<0.001
QTa/RR slope, day-time0.153 ± 0.0140.115 ± 0.012<0.001
QTa/RR slope, night-time0.105 ± 0.0080.089 ± 0.0070.002
QTe/RR slope, 24 h0.164 ± 0.0210.128 ± 0.018<0.001
QTe/RR slope, day-time0.143 ± 0.0110.110 ± 0.0120.003
QTe/RR slope, night-time0.087 ± 0.0040.076 ± 0.0090.001
Intercept QTa/RR, 24 h (ms)134 ± 64155 ± 630.002
Intercept QTe/RR, 24 h (ms)196 ± 86216 ± 890.04
QTa/RR correlation (r)0.85 ± 0.070.79 ± 0.060.045
QTe/RR correlation (r)0.77 ± 0.040.76 ± 0.030.654
POF (n = 26)Control group (n = 31)P value
Resting heart rate (bpm)85.0 ± 7.482.5 ± 9.60.076
Mean RR, 24 h753 ± 78759 ± 860.452
Mean RR, day-time666 ± 65675 ± 740.061
Mean RR, night-time952 ± 81963 ± 880.072
Mean heart rate (bpm), 24 h79.3 ± 10.480.2 ± 9.20.854
VPC, mean count/day (range)90 ± 33 (34–165)88 ± 38 (29–121)0.455
Mean QTac376.0 ± 15.7338.3 ± 15.30.006
Mean QTa328.5 ± 16.9296.0 ± 17.60.001
Mean QTec439.9 ± 20.0416.9 ± 16.90.002
Mean QTe383.4 ± 24.3365.6 ± 17.40.002
QTa/RR slope, 24 h0.184 ± 0.0220.131 ± 0.019<0.001
QTa/RR slope, day-time0.153 ± 0.0140.115 ± 0.012<0.001
QTa/RR slope, night-time0.105 ± 0.0080.089 ± 0.0070.002
QTe/RR slope, 24 h0.164 ± 0.0210.128 ± 0.018<0.001
QTe/RR slope, day-time0.143 ± 0.0110.110 ± 0.0120.003
QTe/RR slope, night-time0.087 ± 0.0040.076 ± 0.0090.001
Intercept QTa/RR, 24 h (ms)134 ± 64155 ± 630.002
Intercept QTe/RR, 24 h (ms)196 ± 86216 ± 890.04
QTa/RR correlation (r)0.85 ± 0.070.79 ± 0.060.045
QTe/RR correlation (r)0.77 ± 0.040.76 ± 0.030.654

Numerical variables with a normal distribution were presented as the mean ± standard deviation.

bpm, Beats per minute; POF, premature ovarian failure; VPC, ventricular premature complex.

Table 2

Comparison of ventricular repolarization parameters between patients with POF and control subjects

POF (n = 26)Control group (n = 31)P value
Resting heart rate (bpm)85.0 ± 7.482.5 ± 9.60.076
Mean RR, 24 h753 ± 78759 ± 860.452
Mean RR, day-time666 ± 65675 ± 740.061
Mean RR, night-time952 ± 81963 ± 880.072
Mean heart rate (bpm), 24 h79.3 ± 10.480.2 ± 9.20.854
VPC, mean count/day (range)90 ± 33 (34–165)88 ± 38 (29–121)0.455
Mean QTac376.0 ± 15.7338.3 ± 15.30.006
Mean QTa328.5 ± 16.9296.0 ± 17.60.001
Mean QTec439.9 ± 20.0416.9 ± 16.90.002
Mean QTe383.4 ± 24.3365.6 ± 17.40.002
QTa/RR slope, 24 h0.184 ± 0.0220.131 ± 0.019<0.001
QTa/RR slope, day-time0.153 ± 0.0140.115 ± 0.012<0.001
QTa/RR slope, night-time0.105 ± 0.0080.089 ± 0.0070.002
QTe/RR slope, 24 h0.164 ± 0.0210.128 ± 0.018<0.001
QTe/RR slope, day-time0.143 ± 0.0110.110 ± 0.0120.003
QTe/RR slope, night-time0.087 ± 0.0040.076 ± 0.0090.001
Intercept QTa/RR, 24 h (ms)134 ± 64155 ± 630.002
Intercept QTe/RR, 24 h (ms)196 ± 86216 ± 890.04
QTa/RR correlation (r)0.85 ± 0.070.79 ± 0.060.045
QTe/RR correlation (r)0.77 ± 0.040.76 ± 0.030.654
POF (n = 26)Control group (n = 31)P value
Resting heart rate (bpm)85.0 ± 7.482.5 ± 9.60.076
Mean RR, 24 h753 ± 78759 ± 860.452
Mean RR, day-time666 ± 65675 ± 740.061
Mean RR, night-time952 ± 81963 ± 880.072
Mean heart rate (bpm), 24 h79.3 ± 10.480.2 ± 9.20.854
VPC, mean count/day (range)90 ± 33 (34–165)88 ± 38 (29–121)0.455
Mean QTac376.0 ± 15.7338.3 ± 15.30.006
Mean QTa328.5 ± 16.9296.0 ± 17.60.001
Mean QTec439.9 ± 20.0416.9 ± 16.90.002
Mean QTe383.4 ± 24.3365.6 ± 17.40.002
QTa/RR slope, 24 h0.184 ± 0.0220.131 ± 0.019<0.001
QTa/RR slope, day-time0.153 ± 0.0140.115 ± 0.012<0.001
QTa/RR slope, night-time0.105 ± 0.0080.089 ± 0.0070.002
QTe/RR slope, 24 h0.164 ± 0.0210.128 ± 0.018<0.001
QTe/RR slope, day-time0.143 ± 0.0110.110 ± 0.0120.003
QTe/RR slope, night-time0.087 ± 0.0040.076 ± 0.0090.001
Intercept QTa/RR, 24 h (ms)134 ± 64155 ± 630.002
Intercept QTe/RR, 24 h (ms)196 ± 86216 ± 890.04
QTa/RR correlation (r)0.85 ± 0.070.79 ± 0.060.045
QTe/RR correlation (r)0.77 ± 0.040.76 ± 0.030.654

Numerical variables with a normal distribution were presented as the mean ± standard deviation.

bpm, Beats per minute; POF, premature ovarian failure; VPC, ventricular premature complex.

Correlations for QT dynamicity indices (QTapex/RR and QTend/RR slopes) with serum FSH levels in all the study population (r indicates the correlation coefficient).
Figure 2

Correlations for QT dynamicity indices (QTapex/RR and QTend/RR slopes) with serum FSH levels in all the study population (r indicates the correlation coefficient).

Correlations for QT dynamicity indices (QTapex/RR and QTend/RR slopes) with serum E2 levels in all the study population (r indicates the correlation coefficient).
Figure 3

Correlations for QT dynamicity indices (QTapex/RR and QTend/RR slopes) with serum E2 levels in all the study population (r indicates the correlation coefficient).

The effects of age, BMI, smoking, LVEF, baseline heart rate, systolic and diastolic BP values, and serum FSH and E2 levels on QTapex/RR and QTend/RR were examined in a multivariate linear regression analysis, and it was determined that the FSH and E2 levels were independent predictors of QTapex/RR and QTend/RR (Table 3). In this model, the influence of the E2 level on QTapex/RR (P = 0.002, β = –0.56) and QTend/RR (P = 0.001, β = –0.65) was found to be more prominent than the other factors.

Table 3

Results of multivariate linear regression analysis for the independent predictors influencing QT dynamicity indices

ParametersQTa/RR
QTe/RR
β valueP valueβ valueP value
Age (years)−0.880.453−0.720.474
BMI (kg/m2)−0.750.565−0.670.554
Resting heart rate (bpm)0.450.6620.540.575
Systolic BP (mmHg)0.320.9760.740.690
Diastolic BP (mmHg)0.370.4450.400.238
Smoking (%)0.670.0720.820.084
LVEF (%)0.430.5410.550.874
Oestradiol (pg/mL)−0.560.002−0.650.001
FSH (IU/L)0.780.0040.590.008
ParametersQTa/RR
QTe/RR
β valueP valueβ valueP value
Age (years)−0.880.453−0.720.474
BMI (kg/m2)−0.750.565−0.670.554
Resting heart rate (bpm)0.450.6620.540.575
Systolic BP (mmHg)0.320.9760.740.690
Diastolic BP (mmHg)0.370.4450.400.238
Smoking (%)0.670.0720.820.084
LVEF (%)0.430.5410.550.874
Oestradiol (pg/mL)−0.560.002−0.650.001
FSH (IU/L)0.780.0040.590.008

BMI, body mass index; BP, blood pressure; bpm, beats per minute; FSH, follicle-stimulating hormone; LVEF, left ventricle ejection fraction.

Table 3

Results of multivariate linear regression analysis for the independent predictors influencing QT dynamicity indices

ParametersQTa/RR
QTe/RR
β valueP valueβ valueP value
Age (years)−0.880.453−0.720.474
BMI (kg/m2)−0.750.565−0.670.554
Resting heart rate (bpm)0.450.6620.540.575
Systolic BP (mmHg)0.320.9760.740.690
Diastolic BP (mmHg)0.370.4450.400.238
Smoking (%)0.670.0720.820.084
LVEF (%)0.430.5410.550.874
Oestradiol (pg/mL)−0.560.002−0.650.001
FSH (IU/L)0.780.0040.590.008
ParametersQTa/RR
QTe/RR
β valueP valueβ valueP value
Age (years)−0.880.453−0.720.474
BMI (kg/m2)−0.750.565−0.670.554
Resting heart rate (bpm)0.450.6620.540.575
Systolic BP (mmHg)0.320.9760.740.690
Diastolic BP (mmHg)0.370.4450.400.238
Smoking (%)0.670.0720.820.084
LVEF (%)0.430.5410.550.874
Oestradiol (pg/mL)−0.560.002−0.650.001
FSH (IU/L)0.780.0040.590.008

BMI, body mass index; BP, blood pressure; bpm, beats per minute; FSH, follicle-stimulating hormone; LVEF, left ventricle ejection fraction.

In addition, we compared the Tpeak–Tend (78.51 ± 12.3 ms for POF and 61.15 ± 9.9 ms for the healthy control group; P = 0.001) and Tpeak–Tend/RR slopes (0.0299 ± 0.030 for POF and 0.008 ± 0.023 for the healthy control group; P = 0.004) in both POF patients and healthy control groups. While there was non-significant positive correlation between serum FSH level and Tpeak–Tend/RR slope (r = 0.055, P = 0.689); serum E2 level has significant negative correlation with Tpeak–Tend/RR slope (r = −0.410, P = 0.002). So, this finding also supports the results of multiple linear regression analysis regarding the effects of serum E2 levels on ventricular repolarization.

Discussion

To the best of our knowledge, our study is the first to evaluate the relationship between POF and QT dynamicity. We have found that POF patients had impaired QT dynamicity which was represented as more steeper QTapex/RR, QTend/RR, and Tpeak–Tend/RR slopes. Besides, the QT dynamicity indices were found to be negatively correlated with E2 levels.

Premature ovarian failure may have important clinical implications since the early attenuation of sex steroids have been associated with CVDs such as myocardial infarction and stroke.22,23 However, despite the large number of studies investigating the effects of menopause on cardiovascular outcomes and ventricular repolarization, currently, little is known about the cardiovascular and electrophysiological effects of POF in young women.

Parameters measuring ventricular repolarization such as QT dispersion,24 QT dynamics,25 and QT interval/RR have been studied in several diseases to stratify patients who have increased risk of ventricular arrhythmia and sudden cardiac death.24 Abnormal rate adaptation of ventricular repolarization, known as QT dynamicity (measured by the slope of linear regression of QT/RR), may serve as such a marker. Abnormal QT dynamicity has been described in patients who are prone to ventricular arrhythmias.26–30 The QT/RR relationship can be measured with commercially available software but has never been investigated as a risk marker in POF patients.

In the last decades, both animal and human studies related with the impact of gender and sex steroids on cardiac arrhythmias were increased like drug-induced Torsades de Pointes (TdP) more frequent in women than in men31; female gender is an independent risk factor for syncope and sudden death in the congenital long QT syndrome32,33; and the higher propensity toward arrhythmia in normal females is associated with basic differences in repolarization such that QTc intervals are longer in females than in males.34,35 Philp et al.36 showed that 17β-E2 could exert an anti-arrhythmic effect by inhibiting Ca2+ channel that is greater in female rats than in male rats, indicating that the reduction of 17β-E2 level may exert a proarrhythmic effect and could lead to the activation of Ca2+ channel. However, in this study serum E2 levels of the rats were much higher than the physiological range, so cardioprotective effect of the E2 may be lost in normal hormone levels. Recently, Hu et al.37 reported that serum E2 levels were lower in post-menauposal patients with idiopathic outflow tract ventricular arrhythmia compared with that in the control post-menauposal group and oestrogen replacement therapy could inhibit significantly the count of ventricular arrhythmias in those patients. Also, Chen et al.38 demonstrated that 17β-E2 could decrease vulnerability to ventricular arrhythmias in infracted rats, indicating that oestrogen could exert an anti-arrhythmic effect under pathological conditions. These results suggested that ‘lower E2 level’ may be an important ‘modulating factor’ for the mechanism of ventricular arrhythmias in specific pathological conditions. Our study results were also compatible with this hypothesis and showed impaired QT dynamics in POF patients in whom the E2 level negatively correlated with QT dynamicity indices.

However, although our results suggested that E2 deficiency may be associated with abnormal QT dynamics, there were several studies in the literature which had evaluated the effects of hormone replacement therapy (HRT) on post-menopausal women conflicting with our findings.39–41 A study conducted by Larsen et al.41 reported that E2, alone or in combination with progestins, had no significant effects on heart rate, QT interval, or QTc interval in post-menopausal women without structural heart disease. But in another study, Yildirir et al.42 showed that HRT significantly decreased the QTd and QTcd in healthy postmenopausal women independent of the addition of progestin to the regimen. Even though sex steroid effects in ventricular repolarization have gained wide recognition, the underlying mechanisms are not completely understood. Also, mechanisms may be differed under different age groups (normal or early menopause) and different conditions (physiological or pathological conditions).

Our study should be evaluated with some limitations. This is a case–control study in a small number of patients. Although performing a large-scale study in this rare group of patients is difficult, larger sample sizes provide more accurate information. Also, we did not intervene on the hormonal status of the patients. Studies with hormonal replacement in POF patients may explain the further mechanisms.

In conclusion, our study findings suggest that QT dynamicity is impaired in patients with POF despite the absence of overt cardiovascular involvement. These results may highlight the oestrogen actions on ventricular repolarization. Further studies are warranted to elucidate the prognostic significance and clinical implications of impaired ventricular repolarization in patients with POF.

Conflict of interest: None declared.

Funding

None declared.

Acknowledgements

None declared.

References

1
Santoro
N
,
Mechanisms of premature ovarian failure
Ann Endocrinol (Paris)
,
2003
, vol.
64
(pg.
87
-
92
)
2
Jacobsen
BK
Knutsen
SF
Fraser
GE
,
Age at natural menopause and total mortality and mortality from ischemic heart disease: the Adventist Health Study
J Clin Epidemiol
,
1999
, vol.
52
(pg.
303
-
7
)
3
Nakagawa
M
Ooie
T
Takahashi
N
Taniguchi
Y
Anan
F
Yonemochi
H
et al.
,
Influence of menstrual cycle on QT interval dynamics
Pacing Clin Electrophysiol
,
2006
, vol.
29
(pg.
607
-
13
)
4
Burke
JH
Ehlert
FA
Kruse
JT
Parker
MA
Goldberger
JJ
Kadish
AH
,
Gender-specific differences in the QT interval and the effect of autonomic tone and menstrual cycle in healthy adults
Am J Cardiol
,
1997
, vol.
79
(pg.
178
-
81
)
5
Hulot
JS
Demolis
JL
Riviere
R
Strabach
S
Christin-Maitre
S
Funck-Brentano
C
,
Influence of endogenous oestrogens on QT interval duration
Eur Heart J
,
2003
, vol.
24
(pg.
1663
-
7
)
6
Liu
XK
Katchman
A
Drici
MD
Ebert
SN
Ducic
I
Morad
M
et al.
,
Gender difference in the cycle length-dependent QT and potassium currents in rabbits
J Pharmacol Exp Ther
,
1998
, vol.
285
(pg.
672
-
9
)
7
Sims
C
Reisenweber
S
Viswanathan
PC
Choi
BR
Walker
WH
Salama
G
,
Sex, age, and regional differences in L-type calcium current are important determinants of arrhythmia phenotype in rabbit hearts with drug-induced long QT type 2
Circ Res
,
2008
, vol.
102
(pg.
e86
-
100
)
8
James
AF
Choisy
SC
Hancox
JC
,
Recent advances in understanding sex differences in cardiac repolarization
Prog Biophys Mol Biol
,
2007
, vol.
94
(pg.
265
-
319
)
9
Abi-Gerges
N
Philp
K
Pollard
C
Wakefield
I
Hammond
TG
Valentin
JP
,
Sex differences in ventricular repolarization: from cardiac electrophysiology to Torsades de Pointes
Fundam Clin Pharmacol
,
2004
, vol.
18
(pg.
139
-
51
)
10
Yang
PC
Clancy
CE
,
Effects of sex hormones on cardiac repolarization
J Cardiovasc Pharmacol
,
2010
, vol.
56
(pg.
123
-
9
)
11
Grassi
G
,
Role of the sympathetic nervous system in human hypertension
J Hypertens
,
1998
, vol.
16
(pg.
1979
-
87
)
12
Pathak
A
Curnier
D
Fourcade
J
Roncalli
J
Stein
PK
Hermant
P
et al.
,
QT dynamicity: a prognostic factor for sudden cardiac death in chronic heart failure
Eur J Heart Fail
,
2005
, vol.
7
(pg.
269
-
75
)
13
Milliez
P
Leenhardt
A
Maisonblanche
P
Vicaut
E
Badilini
F
Siliste
C
et al.
,
Usefulness of ventricular repolarization dynamicity in predicting arrhythmic deaths in patients with ischemic cardiomyopathy (from the European Myocardial Infarct Amiodarone Trial)
Am J Cardiol
,
2005
, vol.
95
(pg.
821
-
6
)
14
Tavernier
R
Jordaens
L
Haerynck
F
Derycke
E
Clement
DL
,
Changes in the QT interval and its adaptation to rate, assessed with continuous electrocardiographic recordings in patients with ventricular fibrillation, as compared to normal individuals without arrhythmias
Eur Heart J
,
1997
, vol.
18
(pg.
994
-
9
)
15
Extramiana
F
Neyroud
N
Huikuri
HV
Koistinen
MJ
Coumel
P
Maison-Blanche
P
,
QT interval and arrhythmic risk assessment after myocardial infarction
Am J Cardiol
,
1999
, vol.
83
(pg.
266
-
9
A6
16
Verrier
RL
Antzelevitch
C
,
Autonomic aspects of arrhythmogenesis: the enduring and the new
Curr Opin Cardiol
,
2004
, vol.
19
(pg.
2
-
11
)
17
McLaughlin
NB
Campbell
RW
Murray
A
,
Accuracy of four automatic QT measurement techniques in cardiac patients and healthy subjects
Heart
,
1996
, vol.
76
(pg.
422
-
6
)
18
Lang
RM
Bierig
M
Devereux
RB
Flachskampf
FA
Foster
E
Pellikka
PA
et al.
,
Recommendations for chamber quantification: a report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology
J Am Soc Echocardiogr
,
2005
, vol.
18
(pg.
1440
-
63
)
19
Antzelevitch
C
Sicouri
S
Di Diego
JM
Burashnikov
A
Viskin
S
Shimizu
W
et al.
,
Does Tpeak-Tend provide an index of transmural dispersion of repolarization?
Heart Rhythm
,
2007
, vol.
4
(pg.
1114
-
6
Author reply 6–9
20
Zareba
W
Bayes de Luna
A
,
QT dynamics and variability
Ann Noninvasive Electrocardiol
,
2005
, vol.
10
(pg.
256
-
62
)
21
Extramiana
F
Maison-Blanche
P
Badilini
F
Pinoteau
J
Deseo
T
Coumel
P
,
Circadian modulation of QT rate dependence in healthy volunteers: gender and age differences
J Electrocardiol
,
1999
, vol.
32
(pg.
33
-
43
)
22
van der Schouw
YT
van der Graaf
Y
Steyerberg
EW
Eijkemans
JC
Banga
JD
,
Age at menopause as a risk factor for cardiovascular mortality
Lancet
,
1996
, vol.
347
(pg.
714
-
8
)
23
Wellons
M
,
Cardiovascular disease and primary ovarian insufficiency
Semin Reprod Med
,
2011
, vol.
29
(pg.
328
-
41
)
24
Galinier
M
Vialette
JC
Fourcade
J
Cabrol
P
Dongay
B
Massabuau
P
et al.
,
QT interval dispersion as a predictor of arrhythmic events in congestive heart failure. Importance of aetiology
Eur Heart J
,
1998
, vol.
19
(pg.
1054
-
62
)
25
Fei
L
Slade
AK
Grace
AA
Malik
M
Camm
AJ
McKenna
WJ
,
Ambulatory assessment of the QT interval in patients with hypertrophic cardiomyopathy: risk stratification and effect of low dose amiodarone
Pacing Clin Electrophysiol
,
1994
, vol.
17
(pg.
2222
-
7
)
26
Marti
V
Guindo
J
Homs
E
Vinoles
X
Bayes de Luna
A
,
Peaks of QTc lengthening measured in Holter recordings as a marker of life-threatening arrhythmias in postmyocardial infarction patients
Am Heart J
,
1992
, vol.
124
(pg.
234
-
5
)
27
Extramiana
F
Tavernier
R
Maison-Blanche
P
Neyroud
N
Jordaens
L
Leenhardt
A
et al.
,
[Ventricular repolarization and Holter monitoring. Effect of sympathetic blockage on the QT/RR ratio]
Arch Mal Coeur Vaiss
,
2000
, vol.
93
(pg.
1277
-
83
)
28
Chevalier
P
Burri
H
Adeleine
P
Kirkorian
G
Lopez
M
Leizorovicz
A
et al.
,
QT dynamicity and sudden death after myocardial infarction: results of a long-term follow-up study
J Cardiovasc Electrophysiol
,
2003
, vol.
14
(pg.
227
-
33
)
29
Okutucu
S
Karakulak
UN
Sahiner
L
Aytemir
K
Demiri
E
Evranos
B
et al.
,
The relationship between circadian blood pressure pattern and ventricular repolarization dynamics assessed by QT dynamicity
Blood Press Monit
,
2012
, vol.
17
(pg.
14
-
9
)
30
Aytemir
K
Deniz
A
Yavuz
B
Ugur Demir
A
Sahiner
L
Ciftci
O
et al.
,
Increased myocardial vulnerability and autonomic nervous system imbalance in obstructive sleep apnea syndrome
Respir Med
,
2007
, vol.
101
(pg.
1277
-
82
)
31
Lehmann
MH
Hardy
S
Archibald
D
Quart
B
MacNeil
DJ
,
Sex difference in risk of Torsade de Pointes with d,l-sotalol
Circulation
,
1996
, vol.
94
(pg.
2535
-
41
)
32
Moss
AJ
Schwartz
PJ
Crampton
RS
Tzivoni
D
Locati
EH
MacCluer
J
et al.
,
The long QT syndrome. Prospective longitudinal study of 328 families
Circulation
,
1991
, vol.
84
(pg.
1136
-
44
)
33
Kawasaki
R
Machado
C
Reinoehl
J
Fromm
B
Baga
JJ
Steinman
RT
et al.
,
Increased propensity of women to develop torsades de pointes during complete heart block
J Cardiovasc Electrophysiol
,
1995
, vol.
6
(pg.
1032
-
8
)
34
Bazett
HC
,
An analysis of the time-relations of electrocardiograms
Heart
,
1920
, vol.
7
(pg.
353
-
70
)
35
Ashman
R
,
The normal furation of the Q-T interval
Am Heart J
,
1942
, vol.
23
(pg.
522
-
34
)
36
Philp
KL
Hussain
M
Byrne
NF
Diver
MJ
Hart
G
Coker
SJ
,
Greater antiarrhythmic activity of acute 17beta-estradiol in female than male anaesthetized rats: correlation with Ca2+ channel blockade
Br J Pharmacol
,
2006
, vol.
149
(pg.
233
-
42
)
37
Hu
X
Wang
J
Xu
C
He
B
Lu
Z
Jiang
H
,
Effect of oestrogen replacement therapy on idiopathic outflow tract ventricular arrhythmias in postmenopausal women
Arch Cardiovasc Dis
,
2011
, vol.
104
(pg.
84
-
8
)
38
Chen
CC
Lin
CC
Lee
TM
,
17beta-Estradiol decreases vulnerability to ventricular arrhythmias by preserving connexin43 protein in infarcted rats
Eur J Pharmacol
,
2010
, vol.
629
(pg.
73
-
81
)
39
Haseroth
K
Seyffart
K
Wehling
M
Christ
M
,
Effects of progestin-estrogen replacement therapy on QT-dispersion in postmenopausal women
Int J Cardiol
,
2000
, vol.
75
(pg.
161
-
5
Discussion 5–6
40
Carnethon
MR
Anthony
MS
Cascio
WE
Folsom
AR
Rautaharju
PM
Liao
D
et al.
,
A prospective evaluation of the risk of QT prolongation with hormone replacement therapy: the atherosclerosis risk in communities study
Ann Epidemiol
,
2003
, vol.
13
(pg.
530
-
6
)
41
Larsen
JA
Tung
RH
Sadananda
R
Goldberger
JJ
Horvath
G
Parker
MA
et al.
,
Effects of hormone replacement therapy on QT interval
Am J Cardiol
,
1998
, vol.
82
(pg.
993
-
5
)
42
Yildirir
A
Aybar
F
Kabakci
MG
Yarali
H
Akgul
E
Bukulmez
O
et al.
,
Hormone replacement therapy shortens QT dispersion in healthy postmenopausal women
Ann Noninvasive Electrocardiol
,
2001
, vol.
6
(pg.
193
-
7
)