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1.
Annals of Laboratory Medicine ; : 23-30, 2012.
Article in English | WPRIM | ID: wpr-43990

ABSTRACT

BACKGROUND: We aimed to investigate the diagnostic utility of osteocalcin (OC), undercarboxylated osteocalcin (ucOC), and alkaline phosphatase (ALP) in pre- and postmenopausal women for femoral neck, L1-4, and L2-4 bone mineral density (BMD) values by taking into consideration their age, body mass index (BMI), and menopausal status. METHODS: Premenopausal (N=40) and postmenopausal cases (N=42) were classified as 25-34 or 35-45 yr of age and within the first 5 yr or 5 yr or more after the onset of menopause, respectively. RESULTS: Among the groups, statistical differences were found for age, BMI, OC, ucOC, ALP, femoral neck BMD, L1-4 BMD, and L2-4 BMD. The highest serum OC, ucOC, and ALP levels were observed in cases within the first 5 yr after the onset of menopause, probably due to a more rapid bone turnover rate. The best predictors for the femoral neck osteoporosis were ALP, OC, and calcium (areas under the ROC curve [AUC]=0.882, 0.829, and 0.761, respectively), and those for L1-4 and L2-4 osteoporosis were OC, ALP, and ucOC (AUC=0.949, 0.873, and 0.845; and 0.866, 0.819, and 0.814, respectively). Multiple logistic regression analysis revealed that the most discriminative parameter for osteoporosis was OC. CONCLUSIONS: These results indicate that serum OC levels, with or without ucOC and ALP, may be useful to monitor follow-up changes that currently cannot be assessed with BMD and to diagnose femoral neck, L1-4 spine, and L2-4 spine osteoporosis.


Subject(s)
Adult , Aged , Female , Humans , Middle Aged , Alkaline Phosphatase/blood , Body Mass Index , Bone Density , Discriminant Analysis , Follow-Up Studies , Logistic Models , Osteocalcin/blood , Osteoporosis/blood , Osteoporosis, Postmenopausal/blood , Postmenopause , Premenopause
2.
Annals of Saudi Medicine. 2007; 27 (5): 356-361
in English | IMEMR | ID: emr-165438

ABSTRACT

No prospective studies have evaluated the effects of correction of iron deficiency anemia on insulin resistance in non-diabetic premenopausal women. We investigated this relationship in 54 non-diabetic premenopausal women with iron deficiency anemia. All patients were treated with oral iron preparations. Insulin resistance was calculated with the Homeostasis Model Assessment formula. All patients were dichotomized by the median for age and BMI to assess how the relationship between iron deficiency anemia and insulin resistance was affected by age and BMI. Although the fasting glucose levels did not change meaningfully, statistically significant decreases were found in fasting insulin levels following anemia treatment both in the younger age [<40 years] [P=0.040] women and in the low BMI [<27 kg/m[2]] [P=0.022] subgroups but not in the older age [>/=40 years] and the high BMI [>/=27 kg/m2] subgroups. Post-treatment fasting insulin levels were positively correlated both with BMI [r=0.386, P=0.004] and post-treatment hemoglobin levels [r=0.285, P=0.036]. Regression analysis revealed that the factors affecting post-treatment insulin levels were BMI [p=0.001] and post-treatment hemoglobin levels [P=0.030]. Our results show that following the correction of iron deficiency anemia, insulin levels and HOMA scores decrease in younger and lean non-diabetic premenopausal women

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