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1.
Article in English | IMSEAR | ID: sea-38578

ABSTRACT

To compare the effects on the lipid profile of estradiol valerate with norgestrel to a regimen of estradiol valerate with cyproterone acetate. Sixty-four healthy women in their perimenopause or early postmenopause, aged between 40-55 years, were randomized to one of the two 21-day sequential regimens: estradiol valerate 2 mg/day for 21 days and combined with either norgestrel 0.5 mg/day or cyproterone acetate 1 mg/day from day 12 to 21, with 7 days of drug-free interval, for 12 cycles. Lipid profiles were followed at baseline, 6 and 12 cycles. Sixty-one subjects completed the study, 30 in the norgestrel group and 31 in the cyproterone group. During 12 cycles of study, serum HDL cholesterol levels decreased significantly in the norgestrel group (p < 0.01) and were unchanged in the cyproterone group. The levels were significantly lower in the norgestrel group than in the cyproterone group (p < 0.05). No differences were found between groups as regards LDL cholesterol and total cholesterol levels. Triglyceride levels decreased significantly in the norgestrel group (p < 0.01), remained unchanged in the cyproterone group and the levels were significantly different between groups (p < 0.01). In conclusion, the study demonstrated that sequential regimen of estradiol valerate with norgestrel produced less favorable HDL cholesterol but more favorable triglyceride levels than the regimen of estradiol valerate with cyproterone acetate.


Subject(s)
Adult , Androgen Antagonists/therapeutic use , Chi-Square Distribution , Cyproterone/therapeutic use , Female , Hormone Replacement Therapy/methods , Humans , Lipoproteins/drug effects , Middle Aged , Norgestrel/therapeutic use , Postmenopause , Probability , Progesterone Congeners/therapeutic use , Reference Values
2.
Article in English | IMSEAR | ID: sea-39550

ABSTRACT

A prospective analysis was conducted to assess the prevalence of dyslipidemia among 80 healthy postmenopausal Thai women who were not more than five years after menopause. Serum total cholesterol, triglycerides and high-density lipoprotein (HDL) cholesterol were measured using enzymatic procedures. Low-density lipoprotein (LDL) cholesterol concentration was estimated by Friedewald formula. The results showed that 91.25 per cent, 10.00 per cent, 38.75 per cent and 48.75 per cent of the studied population had total cholesterol > or = 200 mg/dl, triglycerides > or = 150 mg/dl, HDL < 50 mg/dl, and LDL > or = 190 mg/dl respectively. Of all the women, 77.50 per cent and 10.00 per cent had total cholesterol / HDL ratio of > or = 4 and had triglyceride levels of > or = 150 mg/dl with HDL < 50 mg/dl, respectively. This unexpected high prevalence of dyslipidemia in this healthy postmenopausal group should be taken into account in considering health promotion strategies for postmenopausal Thai women particularly those in the high risk group.


Subject(s)
Adult , Female , Humans , Hyperlipidemias/epidemiology , Middle Aged , Postmenopause , Prevalence , Thailand/epidemiology
3.
Article in English | IMSEAR | ID: sea-43435

ABSTRACT

Many investigators suggest that insulin resistance of the peripheral tissues is the primary defect that results in non-insulin dependent diabetes mellitus (NIDDM). It is also generally accepted that multifactorial controls, playing in concert for gene expression trigger this disease. Previous research reports indicated that uric acid metabolism plays a role in the pathogenesis of NIDDM. To investigate this hypothesis, we studied 53 NIDDM patients by using a double blind cross over control study, of allopurinol and placebo administration. We found a statistically significant elevation in the level of hemoglobin A1c (HbA1c) after the allopurinol intervention period of 12 weeks compared with the placebo period of the same duration (p less than 0.003). The elevation was also found in a subgroup with Body Mass Index (BMI) less than 25 kg/m2 (p less than 0.001) and BMI more than or equal to 25 kg/m2 (p less than 0.05). No statistically significant differences between fasting plasma glucose, glucose tolerance test, serum insulin, total cholesterol, triglycerides, high density lipoprotein cholesterol, creatinine, prior to and after use of allopurinol were noted except for serum uric acid (p less than 0.001). No relationship between changes in HbA1c and changes in uric acid, analysed by linear regression analysis and correlation was demonstrated (r = 0.15, p = 0.29). We conclude that the changing of hemoglobin A1c may be a direct effect of allopurinol or support the role of uric acid in the pathogenesis of NIDDM.


Subject(s)
Adult , Aged , Allopurinol/pharmacology , Blood Glucose/analysis , Body Mass Index , Diabetes Mellitus, Type 2/blood , Double-Blind Method , Glycated Hemoglobin/analysis , Humans , Middle Aged , Uric Acid/blood
4.
Article in English | IMSEAR | ID: sea-43528

ABSTRACT

Evaluation of diabetic control was performed by using fasting plasma glucose, hemoglobin A1 and fructosamine in 139 patients with diabetes mellitus, and 36 normal controls. A linear correlation of fasting plasma glucose with fructosamine and hemoglobin A1 was found. Using fasting plasma glucose alone was found to be inadequate to define good control. HbA1 and fructosamine had an acceptable sensitivity and specificity in assessment of diabetic control, although fructosamine was slightly less sensitive than HbA1. In patients with thalassemia, hemoglobin A1 levels were elevated in 18 of 19 patients. Fructosamine levels also gave misleading results since 6 to 19 patients had an elevated level and one patient had a decreased level. Patients with hypoproteinemia had a decreased fructosamine and hemoglobin A1 level compared to normal control. HbA1 and fructosamine should be cautiously interpreted in patients with thalassemia and hypoproteinemic states. Using these methods in combination with other measure such as home monitoring of blood glucose would be more precise particularly in diabetic patients with hypoproteinemia, abnormal hemoglobin and other hemolytic disorders.


Subject(s)
Adolescent , Adult , Aged , Aged, 80 and over , Blood Glucose/analysis , Diabetes Mellitus/blood , Fructosamine , Glycated Hemoglobin/analysis , Hexosamines/blood , Humans , Middle Aged
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