Abstract
Objectives
To compare the effects of a combined oral contraceptive (COC) containing nomegestrol acetate and 17β-oestradiol (NOMAC/E2) on haemostasis, lipids, carbohydrate metabolism, C-reactive protein (CRP) and sex hormone-binding globulin (SHBG) with those of a COC containing levonorgestrel and ethinylestradiol (LNG/EE).
Methods
In a randomised, open-label study, 121 healthy women, 18-50 years of age, were randomly assigned to receive NOMAC/E2 (2.5 mg/1.5 mg) in a 24/4-day regimen (n = 60) or LNG/EE (150 μg/30 μg) in a 21/7-day regimen (n = 61) for six cycles. The primary outcome was the change from baseline to cycle 6 for all indices.
Results
All parameters were similar at baseline between the two groups. Over six cycles, NOMAC/E2 had less effect on most haemostatic indices than LNG/EE. Lipids were essentially unchanged with NOMAC/E2, whereas with LNG/EE high-density lipoprotein cholesterol decreased and low-density lipoprotein cholesterol and triglycerides slightly increased. NOMAC/E2 induced negligible changes in glucose and insulin parameters, in contrast to LNG/EE. A much smaller increase in CRP was observed with NOMAC/E2 than with LNG/EE. NOMAC/E2 was associated with a greater increase in SHBG.
Conclusions
The monophasic COC NOMAC/E2 had less influence on haemostasis, lipids and carbohydrate metabolism than the COC LNG/EE.
Keywords: Oral contraceptives, Nomegestrol acetate, Oestradiol, Haemostasis, Lipids, Carbohydrates
INTRODUCTION
Since their introduction 50 years ago, combined oral contraceptives (COCs) have become the most frequently used method of reversible contraception worldwide1. Over the past few decades, many advances have been achieved in COCs, including a reduction in the dose of the oestrogenic component ethinylestradiol (EE) and the introduction of more selective progestogens. This has resulted in improved tolerability2 and a more favourable cardiovascular risk profile3-4. The use of oestrogens and progestogens that are identical to or show greater resemblance with endogenous hormones represents the most recent advancement in COC development.
While the EE content in COCs is correlated with increased venous thromboembolism (VTE) risk, the influence of the progestogen component on VTE risk is controversial5. Although it has been suggested that some newer progestogens are associated with greater VTE risk6,7, the methodologies used in these studies have come into question8,9. Another study looked at confounders (weight, body mass index, smoking status, age, etc.) and found that COCs containing levonorgestrel (LNG) or norgestimate had similar VTE risk profiles compared with COCs containing gestodene or desogestrel10. Results from a post-marketing surveillance study (142,475 woman-years) that monitored cardiovascular outcomes among COC users (including those containing drospirenone [DRSP] or LNG) in Europe suggested that VTE risk was similar, independent of progestogen type11. Prescriber bias may also contribute to higher VTE rates, especially in smokers who may be more likely to receive prescriptions for COCs that contain newer progestogens5.
For several decades, researchers have been trying to incorporate the natural hormone 17β-oestradiol (E2), which is identical to the endogenous oestrogen, into COCs. Although many early formulations that contained E2 were associated with poor cycle control, which limited E2's clinical usefulness, initiatives to replace synthetic oestrogen with physiological hormone continued. It is still hypothesised that the use of E2 in combination with a suitable progestogen could further improve tolerability and minimise the deleterious effects of EE on hepatic metabolism12.
Recently, a monophasic COC containing nomegestrol acetate (NOMAC) in combination with E2 has been developed. NOMAC is a progestogen structurally similar to progesterone; it is devoid of oestrogenic, androgenic, glucocorticoid, and mineralocorticoid activity but displays an antioestrogenic activity on the endometrium and a moderate antiandrogenic activity13. Due to the enhanced selectivity profile of NOMAC, this COC may provide acceptable cycle control with putative neutral effects on cardiovascular or metabolic risks14.
The COC containing NOMAC/E2 (2.5 mg/1.5 mg) administered in a 24/4 (active/placebo)-day regimen provides effective suppression of ovarian activity and acceptable cycle control in women of childbearing age15,16. NOMAC/E2 has also demonstrated suppressive effects on the ovaries, cervical mucus and endometrium that are at least as strong as those of a comparator COC containing DRSP and EE15.
The current study was performed to assess the effects of NOMAC/E2 on haemostasis, lipids, carbohydrate metabolism, C-reactive protein (CRP), and sex hormone-binding globulin (SHBG). The influence of NOMAC/E2 on surrogate markers of adrenal and thyroid function, androgens, and androgen precursors was also evaluated, but will be reported separately17. LNG/EE (150 μg/30 μg) was used as a comparator based on regulatory guidance for safety evaluation of new COCs18.
METHODS
The study was a randomised, open-label, comparative, parallel-design study conducted in five study centres in Finland. Advertisements were used to recruit women from the regions surrounding the study centres (Kuopio, Tampere, Turku, Espoo, and Oulu). Throughout the trial, study volunteers were compensated for their time, travel costs, and inconvenience associated with study visits.
The study complied with the ethical principles of the Declaration of Helsinki and the International Conference on Harmonisation (ICH) guideline for Good Clinical Practice. An independent Ethics Committee reviewed and approved the study protocol (NCT00511355) before the start of the study. All participants in the study provided written informed consent.
Subjects
Healthy, sexually active women aged 18-50 years with a body mass index between 17-29 kg/m2 were eligible if they had no contraindications for the use of contraceptive steroids and had not taken any other hormonal treatment (except contraceptives) during the two months preceding screening. Other exclusion criteria included an abnormal cervical smear; a clinically relevant abnormal laboratory finding; breastfeeding; and use of liver-enzyme-inducing drugs, investigational drugs or pharmacological agents affecting the haemostatic system (e.g., vitamin K, nonsteroidal antiinflammatory drugs, including aspirin).
Study design
The study consisted of one pre-treatment cycle (cycle 0), six 28-day treatment cycles (cycles 1-6), and a post-treatment follow-up. At the screening visit, subjects were evaluated to determine their eligibility and collect general baseline data. They were instructed to discontinue the use of hormonal contraceptives, if applicable, and to use condoms whenever necessary. The pre-treatment cycle visit took place in the second half of the first spontaneous menstrual cycle after the screening visit. During the pre-treatment cycle visit, blood was taken in a fasted state during the morning for baseline assessment of metabolic indices and an oral glucose tolerance test (OGTT) was performed.
Eligible women were randomised in a 1:1 ratio to receive the investigational COC containing 2.5 mg NOMAC and 1.5 mg E2 or the comparator COC containing 150 μg LNG and 30 μg EE. Randomisation was performed using blocks with randomly permuted block sizes and an interactive voice response system. Women were stratified by age class (i.e., 18—35 years and 36-50 years). For six consecutive 28-day cycles, the women took one tablet of the study medication orally at approximately the same time each day from day 1 to day 28. The NOMAC/E2 regimen comprised 24 days of active hormone pills followed by four days of placebo pills; the LNG/EE regimen comprised 21 days of active hormone pills followed by seven days of placebo pills. Blood collection for metabolic assessments and an OGTT were repeated between day 15 and day 21 of treatment cycles 3 and 6 when participants returned for clinic visits in a fasted state. A final visit was scheduled between 8 and 14 days after the last tablet was taken in cycle 6 or after early discontinuation of treatment for the gathering of general follow-up data.
Laboratory measurements
All laboratory examinations were performed by the Bio Analytical Research Corporation (Ghent, Belgium).
Haemostasis
Thrombin turnover /fibrinolysis indices
Enzyme-linked immunosorbent assays (ELISAs) (Enzygnost* F 1 + 2 [monoclonal] assay, Dade Behring Marburg GmbH, Marburg, Germany) were performed to quantify pro-thrombin fragment 1+2. D-dimer was measured by the immunoturbidimetric assay STA® Liatest® D-DI on an STA Analyser (Diagnostica Stago, Asieres sur Seine, France).
Anticoagulatory indices
A thrombin generation test using the fluorescence-based Thrombinoscope technique (Thrombinoscope BV, Maastricht, The Netherlands) was performed to calculate the endogenous thrombin potential (ETP)-based activated protein C (APC) sensitivity ratio. The activated partial thromboplastin time (aPTT)-based APC sensitivity ratio was determined using the Coatest® APC™ Resistance test (Chromogenix - Instrumentation Laboratory SpA, Milan, Italy) with the STA Compact® (Diagnostica Stago). The activity of antithrombin III (ATIII) was measured by means of the colorimetric STA STAchrom ATIII assay using bovine thrombin in an STA Compact (Diagnostica Stago) and protein C activity by means of the enzymatic chromogenic STAchrom Protein C assay on an STA Analyser (Diagnostica Stago). The immunoturbidimetric assay STA Liatest Free Protein S was used on an STA Analyser (Diagnostica Stago) to measure free protein S antigen. Total protein S antigen was detected using the ELISA Asserachrom® Total Protein S kit (Diagnostica Stago).
Procoagulatory indices
Factor II activity, factorVII coagulant activity (factor VIIc) and activated factor VII (factor Vila) were measured using the commercial clotting assays/reagents STA-Deficient II, STA-Deficient VII, STAclot Vila-RTF, STA-Neoplastme CI + and the automated analyser STA Compact (Diagnostica Stago). Factor VIII activity was determined by measuring factor dilution activity using the STA Analyser (Diagnostica Stago).
Lipids
Serum levels of total cholesterol and triglycerides were determined enzymatically using cholesterol oxidase-phenol/aminophenazone (CHOD-PAP) and glycerol-3-phosphate oxidase (GPO)-PAP methods, respectively, on a Modular P Analyser (Roche Diagnostics GmbH, Mannheim, Germany). High-density lipoprotein cholesterol (HDL-C) values were measured using modified enzymatic procedures on a Modular P system; low-density lipoprotein cholesterol (LDL-C) values were estimated by the Friedewald equation (i.e., total cholesterol minus HDL-C minus very low-density lipoprotein cholesterol estimated as triglyceride level divided by five)19. Lipoprotein (a) and apolipoprotein A1 and B levels were assessed by immunoturbidimetry on a Modular P system (Roche Diagnostics).
Carbohydrate metabolism indices
For the OGTT, glucose and insulin levels were measured before (t=0) and at 30, 60, 90, 120 and 180 minutes after drinking a glucose solution (75 g/100 ml). Serum glucose levels were measured according to the hexokinase ultraviolet method on a Modular P system; serum insulin levels were estimated by chemiluminescence (CLIA test) using the automated immunochemiluminescence analyser Immulite® (DPC Biermann, Bad Nauheim, Germany). Ion-exchange high-performance liquid chromatography was performed using the automated analyser HA-8160 (A. Menarini Diagnostics S.r.l., Firenze, Italy) for the determination of haemoglobin type A1c (HbA1c).
CRP and SHBG
Serum levels of CRP were obtained with the immunochemiluminescence analyser Immulite® (DPC Biermann, Bad Nauheim, Germany). The electrochemiluminescence immunoassay ECLIA (Roche Diagnostics) was used to measure serum levels of SHBG.
Statistical analysis
The trial was set up to confirm the expected differences in changes from baseline between the treatment groups in several metabolic indices, especially prothrombin fragment 1+2, D-dimer and ATIII. In previous trials (unpublished data), standardised effect sizes (i.e., differences between the treatment groups in changes from baseline divided by the common standard deviation) were found to be in the range of approximately 0.6—1.0, depending on the parameter and the variability range. Conservatively assuming a standardised effect size of approximately 0.6 as a difference worthwhile to detect, a sample size of 42 evaluable subjects per treatment group was needed using a two-sided statistical test with 80% power and a significance level of 5%. Compensating for up to 20% premature discontinuations from treatment and accounting for a potential power loss due to the non-parametric analysis, in total 60 subjects were to be randomised per treatment group.
Analyses of all metabolic indices were performed for all randomised subjects who took at least one dose of study medication. For all parameters, median values and interquartile ranges at baseline (defined as the last measurement before administration of the first study medication) and treatment cycles 3 and 6 are presented, as well as changes from baseline to cycle 6 (primary outcome). Interquartile ranges were preferred over standard deviations in order to limit the influence of outliers on the variability estimates. If a value less than the lower limit of quantification (LLOQ) was observed for a metabolic variable, a value of 0.5 X LLOQ for the respective laboratory test was imputed. If a value above the upper limit of quantification (ULOQ) was reported, a value equal to the ULOQ of the respective laboratory test was used.
Glucose and insulin responses during the OGTT were evaluated as the area under the curve over three hours (AUC3), which were calculated according to the trapezoidal rule. A correction factor was used if the last blood sample was not drawn at the exact time of 180 minutes after glucose administration. Based on the calculated AUC3, the incremental AUC3 was defined as the difference between the AUC3 and the concentration before OGTT (fasting concentration) multiplied by three hours.
All statistical analyses of metabolic parameters used two-sided tests performed at the 5% error level. Each parameter was analysed using a stratified Wilcoxon rank sum test (Cochran-Mantel-Haenszel test) adjusted for age class, applied on the changes from baseline to cycle 6. No correction for multiplicity was applied.
RESULTS
A total of 121 women were randomised to receive either NOMAC/E2 or LNG/EE (Figure 1). All 60 women in the NOMAC/E2 group received treatment; three of the 61 women in the LNG/EE group did not receive treatment because of a pre-treatment adverse event (AE) ('acne'), withdrawn consent or other personal reasons (found a new job). Seven women (11.7%) in the NOMAC/E2 group and six women (10.3%) in the LNG/EE group discontinued the treatment prematurely. Of these 13 discontinuers, eight women (four in each group) discontinued due to an AE, one due to pregnancy wish, one moved to another city, and three women were lost to follow-up. Overall tablet intake compliance was high in both treatment groups: 93.1% and 87.7% of women in the NOMAC/E2 and LNG/EE groups, respectively, took the daily tablet on at least 95% of treatment days.
The demographic and clinical characteristics were similar between the two treatment groups at baseline (Table 1), with the exception of smoking prevalence, which was higher among women in the NOMAC/E2 group. Baseline values for all metabolic indices in the two treatment groups were also similar (Tables 2-4).
Table 1.
NOMAC/E2 (n=60) | LNG/EE (n=58) | Total (n = 118) | |
---|---|---|---|
Age (years), mean (SD) | 28.2 (8.2) | 29.1 (78) | 28.7 (8.0) |
Race, n (%) | |||
Black | 1 (1.7) | 0 | 1 (0.8) |
White | 59 (98.3) | 58 (100.0) | 117 (99.2) |
Weight (kg), mean (SD) | 62.8 (9.7) | 61.7 (9.0) | 62.3 (9.3) |
BMI (kg/m2), mean (SD) | 23.0 (2.9) | 22.3 (2.5) | 22.7 (2.7) |
Nulligravida, n (%) | 35 (58.3) | 34 (58.6) | 69 (58.5) |
Parity*, n (%) | |||
NA (0 without pregnancy) | 35 | 34 | 69 |
0 (with pregnancy) | 4 (16.0) | 3 (12.5) | 7(14.3) |
1 | 7 (28.0) | 6 (25.0) | 13 (26.5) |
≥2 | 14 (56.0) | 15 (62.5) | 29 (59.2) |
Last contraceptive method used within three months prior to screening**, n (%) | |||
None | 1 (1.7) | 4 (6.9) | 5 (4.2) |
Combined oral contraceptive | 19 (31.7) | 22 (37.9) | 41 (34.7) |
Progestogen-only-pill | 3 (5.0) | 1 (1.7) | 4 (3.4) |
ILJD (hormonal) | 5 (8.3) | 1 (1.7) | 6(5.1) |
ILJD (non-hormonal) | 1 (1.7) | 2 (3.4) | 3 (2.5) |
Vaginal ring or transdermal patch | 5 (8.3) | 7(12.1) | 12 (10.2) |
Foam, condom, suppositories, diaphragm | 26 (43.3) | 21 (36.2) | 47 (39.8) |
Smoking status | |||
Smokers, n (%) | 14 (23.3) | 7(12.1) | 21 (178) |
Non-smokers, n (%) | 46 (76.7) | 51 (879) | 97 (82.2) |
NOMAC/E2, nomegestrol acetate/17β-oestradiol; LNG/EE, levonorgestrel/ethinylestradiol; SD, standard deviation; BMI, body mass index; NA, not applicable; ILJD, intrauterine device.
Gestational age ≥ 28 weeks;
Single most important contraceptive method.
Table 2.
Thrombin turnover/fibrinolysis indices | ||||||
---|---|---|---|---|---|---|
Treatment | Baseline | Cycle 3 | Cycle 6 | Change from baseline to cycle 6 | % change from baseline to cycle 6 | p-value* |
Prothrombin fragments 1 + 2 (nmol/l) | ||||||
NOMAC/E2 | 0.15 (0.07) | 0.15 (0.08) | 0.14 (0.10) | −0.00 (0.06) | −1.7 (46.0) | 0.085 |
LNG/EE | 0.17 (0.10) | 0.21 (0.12) | 0.21 (0.12) | 0.02 (0.10) | 13.5 (59.6) | |
D-dimer (mg/l FEU) | ||||||
NOMAC/E2 | 0.11 (0.19) | 0.11 (0.16) | 0.11 (0.12) | 0.00 (0.00) | 0.0 (0.0) | † |
LNG/EE | 0.11 (0.15) | 0.22 (0.26) | 0.11 (0.22) | 0.00 (0.17) | 0.0 (68.0) | |
Anticoagulatory factors | ||||||
ETP-based APC sensitivity ratio | ||||||
NOMAC/E2 | 0.70 (0.40) | 1.10 (0.60) | 1.10 (0.40) | 0.40 (0.60) | 60.0 (80.0) | < 0.001 |
LNG/EE | 0.70 (0.60) | 2.20 (1.00) | 1.90 (1.25) | 1.20 (1.00) | 146.4 (160.0) | |
aPTT-based APC) sensitivity ratio | ||||||
NOMAC/E2 | 1.00 (0.20) | 0.98 (0.17) | 1.05 (0.16) | 0.03 (0.17) | 3.3 (16.4) | 0.97 |
LNG/EE | 0.99 (0.14) | 0.99 (0.13) | 1.02 (0.13) | 0.02 (0.15) | 2.0 (14.9) | |
Antithrombin III (%) | ||||||
NOMAC/E2 | 99.5 (13.5) | 100.0 (15.0) | 103.0 (12.0) | 4.0 (14.0) | 3.9 (13.4) | 0.004 |
LNG/EE | 99.0 (15.0) | 95.5 (10.0) | 95.5 (16.5) | −3.5 (14.0) | −3.6 (14.1) | |
Protein C (U/l) | ||||||
N0MAC/E2 | 105.5 (175) | 101.0 (19.0) | 104.0 (29.0) | −3.0 (19.0) | −3.1 (18.3) | 0.002 |
LNG/EE | 102.5 (25.0) | 111.0 (24.0) | 113.0 (25.5) | 8.5 (20.0) | 8.2 (20.2) | |
Free protein S (%) | ||||||
N0MAC/E2 | 84.0 (20.5) | 96.0 (22.0) | 99.0 (33.0) | 11.0 (18.0) | 13.3 (21.0) | 0.97 |
LNG/EE | 85.0 (18.0) | 93.5 (22.0) | 102.0 (24.5) | 11.5 (21.5) | 11.9 (25.9) | |
Total protein S (%) | ||||||
N0MAC/E2 | 79.0 (13.5) | 85.0 (170) | 83.0 (170) | 4.0 (16.0) | 4.7 (20.5) | < 0.001 |
LNG/EE | 78.0 (14.0) | 74.5 (12.0) | 75.0 (11.5) | −3.0 (14.0) | −3.6 (175) | |
Procoagulatory factors | ||||||
Factor II (%) | ||||||
N0MAC/E2 | 93.0 (15.0) | 970 (14.0) | 95.0 (19.0) | −1.0 (18.0) | −0.9 (18.5) | 0.50 |
LNG/EE | 94.5 (15.0) | 101.5 (14.0) | 95.0 (20.0) | 3.0 (19.5) | 3.0 (22.7) | |
Factor VIla (U/l) | ||||||
N0MAC/E2 | 80.0 (41.5) | 84.0 (44.0) | 82.0 (470) | 70 (46.9) | 8.8 (63.3) | 0.42 |
LNG/EE | 71.0 (35.0) | 91.5 (45.0) | 86.0 (375) | 9.0 (30.0) | 14.4 (42.0) | |
Factor Vile (%) | ||||||
N0MAC/E2 | 102.0 (30.5) | 105.0 (36.0) | 103.0 (28.0) | 1.0 (33.0) | 1.0 (33.3) | 0.001 |
LNG/EE | 101.0 (30.0) | 98.5 (25.0) | 94.5 (31.5) | −13.0 (275) | −12.7 (24.1) | |
FactorVIII (%) | ||||||
N0MAC/E2 | 870 (45.0) | 86.0 (45.0) | 85.0 (45.0) | 3.0 (470) | 4.8 (51.8) | 0.38 |
LNG/EE | 88.5 (42.0) | 870 (41.0) | 95.5 (43.0) | 6.0 (34.5) | 6.8 (40.6) |
FEU, Fibrinogen equivalent units; ETP endogenous thrombin potential; aPTT activated partial thromboplastin time;
APC, activated protein C; Factor Vila, activated Factor VII; factor Vile, coagulated activated Factor VII.
The Cochran-Mantel-Haenszel test adjusted for age class using standardised midranks, applied on the absolute changes from baseline to cycle 6. A p-value ≤ 0.05 indicates that the difference from baseline to cycle 6 (NOMAC/ E2 vs LNG/EE) was statistically significant.
The p-value is not presented because > 50% of subjects had D-dimer values below the lower limit of quantification (LLOQ) of 0.22 mg/l FEU.
Table 4.
Carbohydrate indices | ||||||
---|---|---|---|---|---|---|
Treatment | Baseline | Cycle 3 | Cycle 6 | Change from baseline to cycle 6 | % change from baseline to cycle 6 | p-value* |
AUC3 for glucose (hours X mmol/l) | ||||||
N0MAC/E2 | 15.73 (3.49) | 15.95 (3.46) | 15.31 (3.75) | 0.79 (3.37) | 6.1 (25.7) | 0.002 |
LNG/EE | 14.12 (3.26) | 16.19 (4.58) | 16.34 (4.71) | 2.08 (3.16) | 13.9 (24.5) | |
Incremental AUC3 for glucose (hours X mmol/l) | ||||||
N0MAC/E2 | 1.15 (3.35) | 1.27 (3.29) | 1.25 (2.93) | 0.61 (3.02) | 25.4 (2076) | < 0.001 |
LNG/EE | 0.64 (3.06) | 2.95 (4.05) | 2.87 (4.03) | 2.07 (3.50) | 56.5 (273.0) | |
AUC3 for insulin (hours X mmol/l) | ||||||
N0MAC/E2 | 585.6 (304.0) | 654.5 (488.3) | 620.3 (3571) | −4.1 (240.6) | −0.9 (33.1) | < 0.001 |
LNG/EE | 540.6 (218.7) | 702.6 (375.0) | 704.7 (356.0) | 1779 (275.2) | 26.4 (53.7) | |
Incremental AUC3 for insulin (hours X mmol/l) | ||||||
N0MAC/E2 | 4476 (302.3) | 496.1 (3873) | 481.1 (270.5) | −29.5 (241.3) | −6.1 (571) | 0.002 |
LNG/EE | 432.1 (179.2) | 592.8 (348.5) | 588.3 (284.7) | 1479 (299.8) | 35.9 (69.5) | |
HbA1c (%) | ||||||
N0MAC/E2 | 5.35 (0.35) | 5.40 (0.30) | 5.30 (0.30) | 0.00 (0.20) | 0.0 (3.7) | 0.37 |
LNG/EE | 5.30 (0.20) | 5.40 (0.20) | 5.30 (0.30) | 0.00 (0.20) | 0.0 (3.7) |
AUC3, area under the curve over three hours; HbA1c, haemoglobin type A1c.
The Cochran-Mantel-Haenszel test adjusted for age class using standardised midranks, applied on the absolute changes from baseline to cycle 6. A p-value ≤ 0.05 indicates that the difference from baseline to cycle 6 (NOMAC/ E2 vs LNG/EE) was statistically significant.
Haemostasis
Prothrombin fragments 1+2 essentially did not change in the NOMAC/E2 group, whereas a small increase in the LNG/EE group was observed (p = 0.085; Table 2; Figure 2). Although D-dimer was nearly unchanged in both groups, these results are inconclusive because more than 50% of the values were below the limit of detection.
The ETP-based APC sensitivity ratio increased by a statistically significant margin from baseline to cycle 6 in both groups; however, the change was much greater with LNG/EE than with NOMAC/E2 (p< 0.001; Table 2; Figure 2). The aPTT-based sensitivity ratio was nearly unchanged in both groups. Small changes from baseline were observed in the anticoagulatory factors ATIII, protein C, and free and total protein S in both treatment groups (Table 2), but the between-group differences for these parameters were found to be statistically significant (p< 0.01; Table 2) except for free protein S.
NOMAC/E2 and LNG/EE induced minimal changes from baseline in procoagulatory factors II, Vila and VIII (Table 2). For factor VIIc, a minimal change from baseline was observed in the NOMAC/ E2 group, whereas a decrease was observed in the LNG/EE group (p = 0.001; Table 2).
Lipids
No clinically relevant changes were seen in total cholesterol, HDL-C, LDL-C, or total triglycerides among women receiving NOMAC/E2 during six treatment cycles (Table 3; Figure 2). LNG/EE treatment did not change total cholesterol either, but it decreased HDL-C, increased LDL-C, and increased total triglycerides. The decrease from baseline in HDL-C and the increase from baseline in LDL-C and total triglycerides observed in the LNG/EE group were statistically significantly different from changes observed in the NOMAC/E2 group (p< 0.05; Table 3). No changes in lipoprotein (a) were observed in the NOMAC/E2 group, and small changes were observed in the LNG/EE group, the difference being statistically significant (p < 0.001). Women in the NOMAC/E2 group had a significantly greater increase from baseline in apolipoprotein Al (p = 0.006) and a significantly smaller increase in apolipoprotein B (p < 0.001) than those in the LNG/EE group.
Table 3.
Lipid indices | ||||||
---|---|---|---|---|---|---|
Treatment | Baseline | Cycle 3 | Cycle 6 | Change from baseline to cycle 6 | % change from baseline to cycle 6 | p-value* |
Total cholesterol (mmol/l) | ||||||
NOMAC/E2 | 4.33 (1.23) | 4.22 (1.04) | 4.35 (1.09) | 0.08 (0.65) | 1.3 (16.9) | 0.69 |
LNG/EE | 4.43 (1.01) | 4.37 (0.91) | 4.40 (1.14) | −0.03 (0.75) | −0.7 (15.8) | |
HDL-C (mmol/l) | ||||||
NOMAC/E2 | 1.58 (0.41) | 1.58 (0.44) | 1.63 (0.44) | 0.02 (0.32) | 1.6 (21.0) | < 0.001 |
LNG/EE | 1.66 (0.42) | 1.47 (0.37) | 1.35 (0.34) | −0.23 (0.32) | −13.1 (18.0) | |
LDL-C (mmol/l) | ||||||
NOMAC/E2 | 2.28 (0.92) | 2.07 (0.91) | 2.15 (0.78) | −0.02 (0.48) | −0.5 (26.2) | 0.046 |
LNG/EE | 2.41 (0.81) | 2.43 (0.98) | 2.43 (1.09) | 0.11 (0.52) | 6.8 (20.1) | |
Total triglycerides (mmol/l) | ||||||
NOMAC/E2 | 0.90 (0.32) | 0.88 (0.47) | 0.92 (0.41) | 0.06 (0.29) | 75 (34.8) | 0.008 |
LNG/EE | 0.75 (0.32) | 0.93 (0.49) | 0.99 (0.48) | 0.15 (0.44) | 170 (56.4) | |
Lipoprotein (a) (g/l) | ||||||
NOMAC/E2 | 0.10 (0.15) | 0.10 (0.16) | 0.10 (0.19) | 0.00 (0.03) | 0.0 (20.3) | < 0.001 |
LNG/EE | 0.11 (0.19) | 0.10 (0.13) | 0.10 (0.18) | −0.02 (0.05) | −14.0 (30.7) | |
Apolipoprotein A1 (g/l) | ||||||
NOMAC/E2 | 1.59 (0.30) | 1.66 (0.42) | 1.73 (0.44) | 0.20 (0.30) | 12.1 (20.2) | 0.006 |
LNG/EE | 1.56 (0.32) | 1.65 (0.35) | 1.66 (0.30) | 0.09 (0.26) | 4.6 (175) | |
Apolipoprotein B (g/l) | ||||||
NOMAC/E2 | 0.61 (0.21) | 0.60 (0.24) | 0.62 (0.26) | 0.03 (0.12) | 4.6 (20.0) | < 0.001 |
LNG/EE | 0.63 (0.16) | 0.77 (0.27) | 0.79 (0.28) | 0.16 (0.21) | 28.0 (32.0) | |
CRP (mg/l) | ||||||
NOMAC/E2 | 0.40 (0.60) | 0.60 (1.40) | 0.70 (1.00) | 0.20 (0.80) | 66.7 (200.0) | < 0.001 |
LNG/EE | 0.40 (1.30) | 1.75 (3.00) | 1.70 (2.85) | 0.95 (2.20) | 258.3 (495.5) | |
SHBG (nmol/l) | ||||||
NOMAC/E2 | 65.5 (33.6) | 96.3 (55.5) | 1079 (578) | 33.8 (52.0) | 44.1 (78.8) | 0.019 |
LNG/EE | 76.5 (40.6) | 93.9 (476) | 98.3 (30.8) | 15.3 (42.6) | 22.4 (64.1) |
HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; CRR C-reactive protein; SHBG, sex hormone-binding globulin.
The Cochran-Mantel-Haenszel test adjusted for age class using standardised midranks, applied on the absolute changes from baseline to cycle 6. A p-value ≤ 0.05 indicates that the difference from baseline to cycle 6 (NOMAC/ E2 vs LNG/EE) was statistically significant.
Carbohydrate metabolism
Over six cycles of treatment, women receiving NOMAC/E2 had negligible changes from baseline in the AUC3 and incremental AUC3 for both glucose and insulin (Table 4). In the LNG/EE group, increases from baseline were observed for all four parameters. The differences between treatment groups were statistically significant for all of these indices (p≤ 0.002; Table 4). No changes in HbA1c were observed in either group.
CRP and SHBG
Although CRP concentrations increased after treatment in both groups, the increase from baseline was significantly smaller with NOMAC/E2 (+ 67%) than with LNG/EE (+ 258%) (p < 0.001; Table 3). Both COCs were associated with increases in SHBG concentrations, with a significantly greater increase in the NOMAC/E2 group (44%) compared with the LNG/ EE group (22%) (p = 0.019; Table 3; Figure 2).
Contraceptive efficacy and tolerability
No pregnancies occurred during the trial in either treatment group. NOMAC/E2 was generally well tolerated, with a similar AE profile as LNG/EE. AEs reported with an incidence ≥ 5% (in any treatment group) in women who received either NOMAC/E2 or LNG/EE, respectively, were upper respiratory tract infection (6 and 5 subjects),headache (3 and 7 subjects), acne (2 and 4 subjects), influenza (1 and 4 subjects), metrorrhagia (3 and 1 subject), and vaginal candidiasis (3 and 1 subject). One serious adverse event (SAE), worsening of a congenital mitral valve leak, was reported in the NOMAC/E2 group. The subject was withdrawn from the study. No SAEs were reported in the LNG/EE group. Eight women (four women in each group) discontinued treatment during the study because of an AE. In the NOMAC/E2 group, reasons for discontinuation due to an AE included depression and nausea; one subject experienced a combination of tachycardia, pain in the calf, and weakness in the limb. In the LNG/EE group, AEs that led to discontinuation included decreased sexual desire, nausea, and headache.
DISCUSSION
This randomised study compared the effects of NOMAC/E2 administered in a 24-day regimen and LNG/EE in a 21-day regimen on metabolic indices. After six cycles of treatment, NOMAC/E2 had minimal influence on parameters related to haemostasis, lipids, and carbohydrate metabolism. Overall, NOMAC/E2 had less effect on these indices than the comparator LNG/EE. Both NOMAC/E2 and LNG/ EE were associated with moderate increases in SHBG and increases in CRP. Changes in CRP were particularly marked with LNG/EE.
An estimated 100 million women worldwide use COCs1, which have demonstrated an excellent overall contraceptive efficacy and safety since their introduction in 1960. However, epidemiological evidence linking COC use with an increased risk of cardiovascular morbidity, particularly of VTE, remains a cause for concern. Several factors have been associated with VTE risk in women taking EE-containing COCs, including the EE dose20,21 and type of progestogen used21-25. Whether observed differences in VTE risk among COC formulations can be explained by confounding factors and biases in study design and methodology remains the subject of debate5. Reductions in the dose of EE (< 50 μg) have resulted in a decreased incidence of VTE21, ischaemic stroke25,26, and myocardial infarction25. Further reduction of the EE dose to 20 μg may further decrease the VTE incidence (suggested in a case-control study21), but the evidence for this is limited. Even very low doses of EE (i.e., 10 μg) have been shown to adversely affect haemostatic parameters27.
COC formulations containing oestrogen that are structurally similar or identical to endogenous E2 have been sought for several decades because they are expected to offer an improved safety profile. A number of clinical studies have demonstrated that E2 and its derivative oestradiol valerate have less effect on hepatic protein synthesis than EE and have more favourable lipid and haemostatic profiles27-29. This is confirmed by data from the present study, in that NOMAC/E2 had less influence on indices of haemostasis, lipid and carbohydrate metabolism than LNG/EE (150 μg/30 μg), as well as by the results of a previous study, which showed that NOMAC/E2 induced smaller changes on coagulation and fibrinolysis markers relative to the lower-dosed COC LNG/EE 100 μg/20 μg30. The apparent improved safety profile of E2-containing COCs needs to be confirmed in clinical studies with VTE as endpoint.
COCs containing EE have been associated with pronounced APC resistance31-32 as well as elevations in procoagulatory factors and reductions in anticoagulatory factors33,34. Reduced sensitivity for ETP-based APC has been claimed to be associated with VTE risk in men and women, even in the absence of the Factor V Leiden mutation35-36. In the current study, NOMAC/ E2 resulted in changes in ETP-based APC sensitivity ratios that were substantially and significantly smaller than ratios observed with LNG/EE.
Evidence suggests that the individual composition of different COCs, in terms of hormone dose and progestogen type, also influences their respective effects on lipids and lipoproteins37-38. Although the changes in lipoprotein metabolism induced by EE are complex, the net effect is generally considered favourable, primarily due to increased HDL concentrations. Progestogens with androgenic properties may reverse the lipid benefits of oestrogen, whereas natural progesterone, progesterone-like derivatives and DRSP may be more likely to preserve these benefits39. In the present study, NOMAC/E2 did not induce any meaningful changes in the lipid profile, whereas women receiving LNG/ EE demonstrated a reduction in HDL-C and an elevation in LDL-C and total triglycerides. These results are consistent with those observed in previous studies of LNG/EE40-42.
Hormonal contraceptives (including COCs) have been associated with subclinical disturbances in carbohydrate metabolism, including impaired glucose tolerance and insulin resistance43 that may increase the risk of type 2 diabetes and vascular disease. Studies evaluating the effects of oestrogen on carbohydrate metabolism have reported contradictory findings44-50. The androgenic properties of the progestogens used in COCs may influence responses to glucose tolerance tests; non-androgenic progestogens appear to exert a neutral effect on carbohydrate metabolism51. In the present study, negligible changes in glucose and insulin parameters were observed in women taking NOMAC/E2, whereas significant increases in insulin and glucose AUC3 were found in women taking LNG/EE. The increases associated with LNG/EE are in line with those observed in previous studies40-42, but it is doubtful whether they are clinically meaningful in terms of predicting greater risk.
The role of inflammation in the pathogenesis of cardiovascular disease (CVD) has been increasingly recognised in recent years, and inflammation markers such as the non-specific acute-phase protein CRP have been identified as useful predictors of CVD risk52. In clinical studies, elevations in CRP levels have been observed with the use of various COC formulations53-55. Both NOMAC/E2 and LNG/EE increased CRP levels in this randomised metabolic study, with a significantly greater increase seen with LNG/EE. Whereas the median CRP level observed in the NOMAC/E2 group at cycle 6 (0.70 mg/1) remained well below the threshold indicating increased cardiovascular risk (—2 mg/1)56, the median CRP level in the LNG/EE group at cycle 6 (1.70 mg/1) approached this threshold.
SHBG is a carrier protein synthesised in hepato-cytes; its synthesis has been shown to be highly sensitive to oestrogens and androgens57. EE administered orally markedly increases SHBG levels in a dose-dependent fashion, whereas progestogens, due to their androgenic properties, decrease these levels to a varying extent depending on the steroid dose and type. The net effect of a COC formulation on SHBG thus appears to reflect the balance between oestrogenic and androgenic activity57. In this study, NOMAC/E2 induced an approximate 44% increase from baseline in SHBG, a change that was significantly greater than the 22% rise induced by LNG/EE. However, compared with other COCs, where increases in SHBG vary from 150% for COCs containing norgestimate to 400% for COCs containing cyproterone acetate, the SHBG increases observed in this study were small57. The rise in SHBG induced by LNG/EE is most likely the result of the increase due to EE and the decrease due to LNG, a progestogen with residual androgenicity The rise in SHBG induced by NOMAC/E2 is most likely only due to the oestrogen component of this combination because NOMAC is a non-androgenic progestogen.
This is one of the first studies reporting the effect of a COC that contains E2 instead of EE on several metabolic indices. The VTE risk and metabolic effects of the comparator COC LNG/EE (150 Hg/30 μg) have been well established, and it is therefore an appropriate comparator. The influence of NOMAC/E2 on haemostatic indices has also been studied in comparison to the lower-dosed COC containing LNG/EE (100 Hg/20 Hg), with essentially similar results30. Although direct comparisons between NOMAC/E2 and COCs containing progestogens other than LNG are not yet available, it is likely that these COCs are associated with greater changes in these indices than NOMAC/E2, in view of their generally more pronounced effects in comparison to LNG/EE58,59.
The main limitation of this study is the use of surrogate endpoints for metabolic indices. In addition, none of the haemostatic indices measured in this study have been established as definitive markers of thrombosis, and the clinical relevance of the differences found in this study can only be determined by performing large, clinical studies with VTE as endpoint. The same holds true for other indices, including lipids and carbohydrate metabolism.
In summary, NOMAC/E2 had minimal influence on haemostatic, lipid and carbohydrate metabolism indices and caused less change in these parameters than LNG/EE. Large clinical studies will be needed to determine whether these differences in surrogate end-points are also clinically relevant.
Acknowledgments
The authors wish to thank Donna McGuire and A. Peter Morello III, PhD, of Evidence Scientific Solutions, Philadelphia, PA, for editorial and medical writing support, which was funded by Merck/MSD.
Declaration of interest
U. M. Ågren, W. F. Sommer, and E. Mommers are employees of MSD. At the time this study was performed, U. M. Ågren did not work for MSD, but she was an employee of FSHS Kuopio, Finland. M. Anttila, K. Mäenpää-Liukko, M. L. Rantala, and H. Rautiainen declare that they have no conflicts of interest. They also declare that they received no compensation or honoraria in association with this article.
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