METHODS: This was a retrospective study on women attending a tertiary urogynecological unit. The assessment included an interview, POPQ assessment, Modified Oxford Scale (MOS) score, and 4D translabial ultrasound (US) on PFM contraction (PMFC). Hormonal status and details on hormone replacement therapy (HRT) were recorded. Corrected menopausal age was defined as the duration of systemic estrogen deprivation. Offline analysis of stored US volumes was performed to measure the reduction in anteroposterior hiatal diameter and bladder neck elevation on PFMC at a later date.
RESULTS: Seven hundred thirty-nine women were seen during the study period. Fifty-three were excluded for missing data, leaving 686. Mean age was 56 (17-89, SD 13.3) years; average BMI was 29 (16-66, SD 6.6) kg/m²; 60.6% (n = 416) were menopausal at a mean duration of 16 (1-56, SD 10.2) years. Forty-nine (7.1%) were currently on systemic HRT, while 104 (15.2%) had used it previously. Mean corrected menopausal age (menopausal age - systemic HRT duration) was 7.4 (0-56, SD 10.0) years. Current local estrogen use ≥ 3 months was reported by 31 (4.5%). Mean PFM contractility measured by MOS was 2 (0-5, SD 1.1,). On multivariate analysis there was no association between menopausal age and PFM contractility.
CONCLUSIONS: Estrogen deprivation may not be an independent predictor of pelvic floor muscle contractility.
OBJECTIVES: To identify the risk factors associated with mortality for each gender and compare differences, if any, among ST-elevation myocardial infarction (STEMI) patients.
DESIGN: Retrospective analysis.
SETTINGS: Hospitals across Malaysia.
PATIENTS AND METHODS: We analyzed data on all STEMI patients in the National Cardiovascular Database-Acute coronary syndrome (NCVD-ACS) registry for the years 2006 to 2013 (8 years). We collected demographic and risk factor data (diabetes mellitus, hypertension, smoking status, dyslipidaemia and family history of CAD). Significant variables from the univariate analysis were further analysed by a multivariate logistic analysis to identify risk factors and compare by gender.
MAIN OUTCOME MEASURES: Differential risk factors for each gender.
RESULTS: For the 19484 patients included in the analysis, the mortality rate over the 8 years was significantly higher in females (15.4%) than males (7.5%) (P < .001). The univariate analysis showed that the majority of male patients < 65 years while females were >=65 years. The most prevalent risk factors for male patients were smoking (79.3%), followed by hypertension (54.9%) and diabetes mellitus (40.4%), while the most prevalent risk factors for female patients were hypertension (76.8%), followed by diabetes mellitus (60%) and dyslipidaemia (38.1%). The final model for male STEMI patients had seven significant variables: Killip class, age group, hypertension, renal disease, percutaneous coronary intervention and family history of CVD. For female STEMI patients, the significant variables were renal disease, smoking status, Killip class and age group.
CONCLUSION: Gender differences existed in the baseline characteristics, associated risk factors, clinical presentation and outcomes among STEMI patients. For STEMI females, the rate of mortality was twice that of males. Once they reach menopausal age, when there is less protection from the estrogen hormone and there are other risk factors, menopausal females are at increased risk for STEMI.
LIMITATION: Retrospective registry data with inter-hospital variation.
Methods: This study is a review of relevant publications about the effects of raloxifene on sleep disorder, depression, venous thromboembolism, the plasma concentration of lipoprotein, breast cancer, and cognitive function among menopausal women.
Results: Raloxifene showed no significant effect on depression and sleep disorder. Verbal memory improved with administration of 60 mg/day of raloxifene while a mild cognitive impairment risk reduction by 33% was observed with administration of 120 mg/day of raloxifene. Raloxifene was associated with a 50% decrease in the need for prolapse surgery. The result of a meta-analysis showed a significant decline in the plasma concentration of lipoprotein in the raloxifene group compared to placebo (standardized mean difference, -0.43; 10 trials). A network meta-analysis showed that raloxifene significantly decreased the risk of breast cancer (relative risk, 0.572; 95% confidence interval, 0.327-0.881; P = 0.01). In terms of adverse effects of raloxifene, the odds ratio (OR) was observed to be 1.54 (P = 0.006), indicating 54% increase in the risk of deep vein thrombosis (DVT) while the OR for pulmonary embolism (PE) was 1.05, suggesting a 91% increase in the risk of PE alone (P = 0.03).
Conclusions: Raloxifene had no significant effect on depression and sleep disorder but decreased the concentration of lipoprotein. Raloxifene administration was associated with an increased risk of DVT and PE and a decreased risk of breast cancer and pelvic organ prolapse in postmenopausal women.
Objective: To investigate the changes in the frequency and severity of hot flush and associated vasomotor symptoms experienced by peri-menopausal and menopausal women supplemented with the herbal formulation (Nu-femme™) comprising Labisia pumila (SLP+®) and Eurycoma longifolia (Physta®) or placebo.
Design: Randomised, double-blind, placebo-controlled, 24-week study enrolled 119 healthy women aged 41-55 years experiencing peri-menopausal or menopausal symptoms and supplemented with Nu-femme™ or placebo. The primary endpoint was comparative changes between treatment groups in the change in the frequency and severity of hot flushes. The secondary objectives were to assess the changes in the frequency and severity of joint pain, Menopause Rating Scale (MRS) and Menopause-Specific Quality of Life (MENQOL) questionnaire domain scores. Concentrations of serum hormone, lipid profile, bone markers, sleep quality and vitality were also studied as secondary objectives.
Results: At week 12, significant (P < 0.01) improvements in hot flush symptoms were observed in Nu-femme™ and placebo groups. Even though there was no significant difference between groups, higher percentage of improvement, 65%, was seen in Nu-femme™ compared to 60% in placebo. Significant improvements (P < 0.001) in MRS and MENQOL scores at weeks 12 and 24 were observed in both groups, respectively. Luteinising hormone and follicle-stimulating hormone levels were significantly reduced (P < 0.05) at weeks 12 and 24, respectively, compared to baseline in the Nu-femme™ group, with no significant changes observed in the placebo group. There were significant (P < 0.05) reductions in serum low-density lipid and triglycerides levels at week 12 in Nu-femme™ group, but no changes seen in placebo group. At the end of week 24, changes in haematology and clinical chemistry parameters remained within normal clinical ranges in both groups.
Conclusion: Herbal formulation consists of L. pumila and E. longifolia (Nu-femme™) may support reduction in hot flushes and improvements in hormone and lipid profile in healthy peri-menopausal and menopausal women.
METHODS AND FINDINGS: Genetic instruments to proxy 12 risk factors were constructed by identifying single nucleotide polymorphisms (SNPs) that were robustly (P < 5 × 10-8) and independently associated with each respective risk factor in previously reported genome-wide association studies. These risk factors included genetic liability to 3 factors (endometriosis, polycystic ovary syndrome, type 2 diabetes) scaled to reflect a 50% higher odds liability to disease. We obtained summary statistics for the association of these SNPs with risk of overall and histotype-specific invasive epithelial ovarian cancer (22,406 cases; 40,941 controls) and low malignant potential tumours (3,103 cases; 40,941 controls) from the Ovarian Cancer Association Consortium (OCAC). The OCAC dataset comprises 63 genotyping project/case-control sets with participants of European ancestry recruited from 14 countries (US, Australia, Belarus, Germany, Belgium, Denmark, Finland, Norway, Canada, Poland, UK, Spain, Netherlands, and Sweden). SNPs were combined into multi-allelic inverse-variance-weighted fixed or random effects models to generate effect estimates and 95% confidence intervals (CIs). Three complementary sensitivity analyses were performed to examine violations of MR assumptions: MR-Egger regression and weighted median and mode estimators. A Bonferroni-corrected P value threshold was used to establish strong evidence (P < 0.0042) and suggestive evidence (0.0042 < P < 0.05) for associations. In MR analyses, there was strong or suggestive evidence that 2 of the 12 risk factors were associated with invasive epithelial ovarian cancer and 8 of the 12 were associated with 1 or more invasive epithelial ovarian cancer histotypes. There was strong evidence that genetic liability to endometriosis was associated with an increased risk of invasive epithelial ovarian cancer (odds ratio [OR] per 50% higher odds liability: 1.10, 95% CI 1.06-1.15; P = 6.94 × 10-7) and suggestive evidence that lifetime smoking exposure was associated with an increased risk of invasive epithelial ovarian cancer (OR per unit increase in smoking score: 1.36, 95% CI 1.04-1.78; P = 0.02). In analyses examining histotypes and low malignant potential tumours, the strongest associations found were between height and clear cell carcinoma (OR per SD increase: 1.36, 95% CI 1.15-1.61; P = 0.0003); age at natural menopause and endometrioid carcinoma (OR per year later onset: 1.09, 95% CI 1.02-1.16; P = 0.007); and genetic liability to polycystic ovary syndrome and endometrioid carcinoma (OR per 50% higher odds liability: 0.89, 95% CI 0.82-0.96; P = 0.002). There was little evidence for an association of genetic liability to type 2 diabetes, parity, or circulating levels of 25-hydroxyvitamin D and sex hormone binding globulin with ovarian cancer or its subtypes. The primary limitations of this analysis include the modest statistical power for analyses of risk factors in relation to some less common ovarian cancer histotypes (low grade serous, mucinous, and clear cell carcinomas), the inability to directly examine the association of some ovarian cancer risk factors that did not have robust genetic variants available to serve as proxies (e.g., oral contraceptive use, hormone replacement therapy), and the assumption of linear relationships between risk factors and ovarian cancer risk.
CONCLUSIONS: Our comprehensive examination of possible aetiological drivers of ovarian carcinogenesis using germline genetic variants to proxy risk factors supports a role for few of these factors in invasive epithelial ovarian cancer overall and suggests distinct aetiologies across histotypes. The identification of novel risk factors remains an important priority for the prevention of epithelial ovarian cancer.