Dyslipidemias Archives - Revista Brasileira de Ginecologia e Obstetrícia
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(4):157-162
DOI 10.1590/S0100-720320140050.0002
It was to assess the risk of cardiovascular disease (CVD) in breast cancer survivors (BCS).
This cross-sectional study analyzed 67 BCS, aged 45 -65 years, who underwent complete oncological treatment, but had not received hormone therapy, tamoxifen or aromatase inhibitors during the previous 6 months. Lipid profile and CVD risk were evaluated, the latter using the Framingham and Systematic COronary Risk Evaluation (SCORE) models. The agreement between cardiovascular risk models was analyzed by calculating a kappa coefficient and its 95% confidence interval (CI).
Mean subject age was 53.2±6.0 years, with rates of obesity, hypertension, and dyslipidemia of 25, 34 and 90%, respectively. The most frequent lipid abnormalities were high total cholesterol (70%), high LDL-C (51%) and high non-HDL-C (48%) concentrations. Based on the Framingham score, 22% of the participants had a high risk for coronary artery disease. According to the SCORE model, 100 and 93% of the participants were at low risk for fatal CVD in populations at low and high risk, respectively, for CVD. The agreement between the Framingham and SCORE risk models was poor (kappa: 0.1; 95%CI 0.01 -0.2) for populations at high risk for CVD.
These findings indicate the need to include lipid profile and CVD risk assessment in the follow-up of BCS, focusing on adequate control of serum lipid concentrations.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2014;36(4):157-162
DOI 10.1590/S0100-720320140050.0002
It was to assess the risk of cardiovascular disease (CVD) in breast cancer survivors (BCS).
This cross-sectional study analyzed 67 BCS, aged 45 -65 years, who underwent complete oncological treatment, but had not received hormone therapy, tamoxifen or aromatase inhibitors during the previous 6 months. Lipid profile and CVD risk were evaluated, the latter using the Framingham and Systematic COronary Risk Evaluation (SCORE) models. The agreement between cardiovascular risk models was analyzed by calculating a kappa coefficient and its 95% confidence interval (CI).
Mean subject age was 53.2±6.0 years, with rates of obesity, hypertension, and dyslipidemia of 25, 34 and 90%, respectively. The most frequent lipid abnormalities were high total cholesterol (70%), high LDL-C (51%) and high non-HDL-C (48%) concentrations. Based on the Framingham score, 22% of the participants had a high risk for coronary artery disease. According to the SCORE model, 100 and 93% of the participants were at low risk for fatal CVD in populations at low and high risk, respectively, for CVD. The agreement between the Framingham and SCORE risk models was poor (kappa: 0.1; 95%CI 0.01 -0.2) for populations at high risk for CVD.
These findings indicate the need to include lipid profile and CVD risk assessment in the follow-up of BCS, focusing on adequate control of serum lipid concentrations.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2012;34(1):4-10
DOI 10.1590/S0100-72032012000100002
PURPOSE: To assess the prevalence of metabolic syndrome and of its defining criteria in women with polycystic ovary syndrome from the Brazilian Southeast, who were stratified according to body mass index and compared to ovulatory controls. METHODS: This was a cross-sectional study conducted on 332 women of reproductive age, who were divided into two groups: Control, consisting of 186 women with regular menstrual cycles and ovulatory symptoms and without a diagnosis of polycystic ovary syndrome or other type of chronic anovulation, and the Polycystic ovary syndrome,Group, consisting of 146 women with a diagnosis of polycystic ovary syndrome (Rotterdam Consensus ASRM/ESHRE). Each group was stratified according to the body mass index, as follows: body mass index ( < 25 ≥25 and <30, and ≥ 30 kg/m²). The frequencies of metabolic syndrome and of its defining criteria and the clinical and hormonal characteristics (follicle stimulating hormone, total testosterone, dehydroepiandrostenedione sulfate) were analyzed. RESULTS: The frequency of metabolic syndrome was six times higher in the obese Polycystic ovary syndrome Group than among control women with the same body mass index (Control with 10.5 versus Polycystic ovary syndrome with 67.9%, p<0.01); twice higher in the Polycystic ovary syndrome Group with body mass index ≥ 25 and <30 kg/m² (Control with 13.2 versus Polycystic ovary syndrome with 22.7%, p<0.01), and three times higher in the Polycystic ovary syndrome Group with body mass index <25 kg/m² (Control with 7.9 versus Polycystic ovary syndrome with 2.5%, p<0.01), compared to control women paired for the same body mass index. Regardless of the body mass index, women with polycystic ovary syndrome had a higher frequency of all the criteria defining metabolic syndrome. CONCLUSION: Women with polycystic ovary syndrome have higher frequency of metabolic syndrome and of its defining criteria regardless of the body mass index. Hyperinsulinemia and hyperandrogenism are important characteristics of the origin of these alterations, especially in obese women with polycystic ovary syndrome.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2012;34(1):4-10
DOI 10.1590/S0100-72032012000100002
PURPOSE: To assess the prevalence of metabolic syndrome and of its defining criteria in women with polycystic ovary syndrome from the Brazilian Southeast, who were stratified according to body mass index and compared to ovulatory controls. METHODS: This was a cross-sectional study conducted on 332 women of reproductive age, who were divided into two groups: Control, consisting of 186 women with regular menstrual cycles and ovulatory symptoms and without a diagnosis of polycystic ovary syndrome or other type of chronic anovulation, and the Polycystic ovary syndrome,Group, consisting of 146 women with a diagnosis of polycystic ovary syndrome (Rotterdam Consensus ASRM/ESHRE). Each group was stratified according to the body mass index, as follows: body mass index ( < 25 ≥25 and <30, and ≥ 30 kg/m²). The frequencies of metabolic syndrome and of its defining criteria and the clinical and hormonal characteristics (follicle stimulating hormone, total testosterone, dehydroepiandrostenedione sulfate) were analyzed. RESULTS: The frequency of metabolic syndrome was six times higher in the obese Polycystic ovary syndrome Group than among control women with the same body mass index (Control with 10.5 versus Polycystic ovary syndrome with 67.9%, p<0.01); twice higher in the Polycystic ovary syndrome Group with body mass index ≥ 25 and <30 kg/m² (Control with 13.2 versus Polycystic ovary syndrome with 22.7%, p<0.01), and three times higher in the Polycystic ovary syndrome Group with body mass index <25 kg/m² (Control with 7.9 versus Polycystic ovary syndrome with 2.5%, p<0.01), compared to control women paired for the same body mass index. Regardless of the body mass index, women with polycystic ovary syndrome had a higher frequency of all the criteria defining metabolic syndrome. CONCLUSION: Women with polycystic ovary syndrome have higher frequency of metabolic syndrome and of its defining criteria regardless of the body mass index. Hyperinsulinemia and hyperandrogenism are important characteristics of the origin of these alterations, especially in obese women with polycystic ovary syndrome.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2011;33(6):310-316
DOI 10.1590/S0100-72032011000600008
PURPOSE: To compare the metabolic characteristics of obese and non-obese young women with polycystic ovary syndrome (POS) from the Brazilian Southeast. METHODS: This was a cross-sectional study conducted on 218 women of reproductive age with a diagnosis of POS - 90 non-obese women (BMI between 18.5 and 29.9 kg/m²), and 128 obese patients (BMI >30 kg/m²) selected at the time of diagnosis. The frequency of insulin resistance (IR), glucose intolerance (GI), metabolic syndrome (MetS) and type 2 diabetes mellitus (DM2) and mean values of total cholesterol (TC), triglycerides (TG), high-density (HDL) and low-density lipoproteins (LDL), were compared between obese and non-obese patients with POS. The two groups were also compared in terms of clinical and hormonal characteristics (follicle stimulating hormone, prolactin, thyroid stimulating hormone, total testosterone, dihydroepiandrostenedione sulfate, and 17-hydroxyprogesterone). Statistical analysis was performed using the SAS 9.0 software. Quantitative variables were compared by the Student´s t-test (data with normal distribution) or by the Mann-Whitney test (non-parametric distribution). Qualitative variables were compared by the Fisher test. The level of significance was set at 5% (p<0.05) in all analyses. RESULTS: The frequency of IR, GI and MetS was significantly higher in obese than non-obese patients with POS (66.7, 29.9, and 63% versus 24.7, 12.2, and 16.4%, respectively). Obese patients had higher TC and TG levels (189.8±35.8 mg/dL and 145.4±71.1 mg/dL, respectively) than non-obese patients (172.1±38.4 mg/dL and 99.3±54 mg/dL, respectively). Both groups had mean HDL levels below 50 mg/dL. CONCLUSIONS: Young obese women with POS have a higher frequency of IR, GI and MS than non-obese. However, the occurrence of metabolic disorders is elevated also in the non-obese patients, suggesting that the presence of the syndrome may favor the development of metabolic comorbidities with potential medium- and long-term repercussions.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2011;33(6):310-316
DOI 10.1590/S0100-72032011000600008
PURPOSE: To compare the metabolic characteristics of obese and non-obese young women with polycystic ovary syndrome (POS) from the Brazilian Southeast. METHODS: This was a cross-sectional study conducted on 218 women of reproductive age with a diagnosis of POS - 90 non-obese women (BMI between 18.5 and 29.9 kg/m²), and 128 obese patients (BMI >30 kg/m²) selected at the time of diagnosis. The frequency of insulin resistance (IR), glucose intolerance (GI), metabolic syndrome (MetS) and type 2 diabetes mellitus (DM2) and mean values of total cholesterol (TC), triglycerides (TG), high-density (HDL) and low-density lipoproteins (LDL), were compared between obese and non-obese patients with POS. The two groups were also compared in terms of clinical and hormonal characteristics (follicle stimulating hormone, prolactin, thyroid stimulating hormone, total testosterone, dihydroepiandrostenedione sulfate, and 17-hydroxyprogesterone). Statistical analysis was performed using the SAS 9.0 software. Quantitative variables were compared by the Student´s t-test (data with normal distribution) or by the Mann-Whitney test (non-parametric distribution). Qualitative variables were compared by the Fisher test. The level of significance was set at 5% (p<0.05) in all analyses. RESULTS: The frequency of IR, GI and MetS was significantly higher in obese than non-obese patients with POS (66.7, 29.9, and 63% versus 24.7, 12.2, and 16.4%, respectively). Obese patients had higher TC and TG levels (189.8±35.8 mg/dL and 145.4±71.1 mg/dL, respectively) than non-obese patients (172.1±38.4 mg/dL and 99.3±54 mg/dL, respectively). Both groups had mean HDL levels below 50 mg/dL. CONCLUSIONS: Young obese women with POS have a higher frequency of IR, GI and MS than non-obese. However, the occurrence of metabolic disorders is elevated also in the non-obese patients, suggesting that the presence of the syndrome may favor the development of metabolic comorbidities with potential medium- and long-term repercussions.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2008;30(12):594-601
DOI 10.1590/S0100-72032008001200002
PURPOSE: to evaluate factors associated with women's dyslipidemia during menopause. METHODS: case-control study of prevalent cases and controls selected from a dedicated outpatient clinic. From recent biochemical parameters found in patients' files, women have been grouped in 'case' and 'control'. Women who presented any alteration in the blood levels of total cholesterol, LDL-cholesterol, triglycerides and/or HDL-cholesterol were considered as case, and the ones who presented normal levels of them, as control. Data concerning socioeconomic situation, physical activity, etilism and tabagism, anthropometric measurements and food ingestion have been collected and then compared between the groups. Ratios have been compared by the χ2, Fisher's exact test and/or t-Student test, depending on the distribution type. The crude relationship between each factor and the presence of dyslipidemia has been estimated by logistic regression. RESULTS: data have been collected from 84 women aged from 42 to 59 years, as 45 of them were grouped as case (dyslipidemic) and 39 as control (non-dyslipidemic). Age average of cases and controls was 52.1±4.2 and 52.2±4.7 years old, respectively. The sample showed to be homogeneous for the socioeconomic characteristics (income, occupation and schooling), physical activity practice, etilism and tabagism, and food ingestion, with no significant correlation with dyslipidemia. The groups presented an income up to two minimal wages, low schooling level (up to the fourth grade of lower school), and the housewife occupation. Smoking and drinking alcohol was not very frequent. Practicing physical activity was non-existent, thus characterizing a sedentary population. Food ingestion was adequate for carbohydrates, protein, lipids, but not for cholesterol (excessive) and fibers (insufficient), in both groups. Concerning the anthropometric evaluation, there has been an association with dyslipidemia, as the body mass index (BMI) and the waist circumference (WC) were significantly larger in case than in control. The waist-hip ratio has been similar in both groups. Weight excess has been found in most of the cases (73.3%) as almost half of them (44%) presented WC >88 cm, which represents a very increased risk. CONCLUSIONS: it is possible to conclude that, in the studied sample, only the anthropometric measurements have been considered as risk factors associated with dyslipidemia, during post-menopause.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2008;30(12):594-601
DOI 10.1590/S0100-72032008001200002
PURPOSE: to evaluate factors associated with women's dyslipidemia during menopause. METHODS: case-control study of prevalent cases and controls selected from a dedicated outpatient clinic. From recent biochemical parameters found in patients' files, women have been grouped in 'case' and 'control'. Women who presented any alteration in the blood levels of total cholesterol, LDL-cholesterol, triglycerides and/or HDL-cholesterol were considered as case, and the ones who presented normal levels of them, as control. Data concerning socioeconomic situation, physical activity, etilism and tabagism, anthropometric measurements and food ingestion have been collected and then compared between the groups. Ratios have been compared by the χ2, Fisher's exact test and/or t-Student test, depending on the distribution type. The crude relationship between each factor and the presence of dyslipidemia has been estimated by logistic regression. RESULTS: data have been collected from 84 women aged from 42 to 59 years, as 45 of them were grouped as case (dyslipidemic) and 39 as control (non-dyslipidemic). Age average of cases and controls was 52.1±4.2 and 52.2±4.7 years old, respectively. The sample showed to be homogeneous for the socioeconomic characteristics (income, occupation and schooling), physical activity practice, etilism and tabagism, and food ingestion, with no significant correlation with dyslipidemia. The groups presented an income up to two minimal wages, low schooling level (up to the fourth grade of lower school), and the housewife occupation. Smoking and drinking alcohol was not very frequent. Practicing physical activity was non-existent, thus characterizing a sedentary population. Food ingestion was adequate for carbohydrates, protein, lipids, but not for cholesterol (excessive) and fibers (insufficient), in both groups. Concerning the anthropometric evaluation, there has been an association with dyslipidemia, as the body mass index (BMI) and the waist circumference (WC) were significantly larger in case than in control. The waist-hip ratio has been similar in both groups. Weight excess has been found in most of the cases (73.3%) as almost half of them (44%) presented WC >88 cm, which represents a very increased risk. CONCLUSIONS: it is possible to conclude that, in the studied sample, only the anthropometric measurements have been considered as risk factors associated with dyslipidemia, during post-menopause.