Association of Low-Density Lipoprotein-Cholesterol and Its Small, Dense Phenotype with Six-Month Cardiovascular Morbidity.

Background: Globally, cardiovascular diseases (CVDs) are the leading cause of death and disability. Elevated low-density lipoprotein-cholesterol (LDL-C) and more specifically, elevation of its small, dense phenotype (sdLDL-C) has been regarded as the key modifiable risk factors associated with atherogenesis. This study aimed to determine the association of LDL-C and sdLDL-C with the development of CVDs in the next six months to establish their predictive efficacy. Methods: A batch of 162 anonymized serum samples sent for analysis of lipid profile parameters, were classified into tests and controls based on the calculated LDL-C values obtained by Fried Ewald formula. Direct LDL-C was also estimated automatically using assay kits. Using the formula provided by Srisawasdi et al., sdLDL-C was then computed for all samples. Six months later, samples were deanonymized, and the lipid profiles were compared with cardiovascular outcomes of these patients, to determine which parameter had the greatest correlation. Results: Four control group patients and three test group patients developed the outcome (any cardiovascular event) during the 6-month follow-up period. Binary logistic regression analysis showed that none of the lipid profile parameters: calculated LDL-C (OR= 0.99; 95% CI= 0.97-1.01; p= 0.826), direct LDL-C (OR= 0.99; 95% CI= 0.97-1.01; p= 0.818) or sdLDL-C (OR= 0.99; 95% CI= 0.93-1.04; p= 0.734), were significantly associated with the occurrence of outcome. The median % sdLDL-C both with respect to direct and calculated LDL-C was slightly higher in patients with the outcome. Conclusion: The levels of LDL-C or its individual phenotypes may not be used singly as indicator of cardiovascular morbidity in the next six months.

Maternal circulating levels of Adipocytokines and insulin resistance as predictors of gestational diabetes mellitus: preliminary findings of a longitudinal descriptive study.

PURPOSE: The present study aimed to assess the role of adipocytokines as predictive markers of gestational diabetes mellitus (GDM). We undertook this study to explore the association of adiponectin, resistin, interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-alpha) and insulin resistance in the development of GDM. METHODS: This longitudinal descriptive study was done in the Medical College Hospital, involving the departments of Biochemistry and Gynecology. The study subjects were pregnant women with normal body mass index. They were recruited at 12-14 weeks of gestation, The healthy pregnant women were selected and were followed at 24-28 weeks for screening of GDM. The participants were categorized as healthy and GDM based on oral glucose tolerance test results. Blood samples were collected on both the occasions at 12-14 weeks and 24-28 weeks. The serum samples were analyzed for levels of insulin, adiponectin, resistin, IL-6 and TNF-alpha. Insulin resistance (HOMA-IR) was calculated from serum insulin and plasma glucose values. RESULTS: The levels of HOMA-IR, resistin, IL-6 and TNF-alpha were significantly higher and level of adiponectin was significantly lower in GDM subjects in comparison to healthy pregnant women, when compared both at 12 weeks and 24 weeks. The levels of resistin, IL-6 and TNF-alpha were significantly higher and level of adiponectin was lower at 24 weeks in comparison to 12 weeks, in the healthy pregnant women as well as those with GDM . CONCLUSIONS: Significant difference in the levels of adipocytokines between the healthy and GDM pregnant women suggest potential clinical application of these molecules as biomarkers of GDM. The increase or decrease in the levels of adipocytokines during the course of pregnancy in GDM subjects suggests their role in GDM and potential use as predictive markers.

Prevalence of goiter and its association with iodine status among the women of reproductive age group in coastal villages of Udupi Taluk, Karnataka, India.

BACKGROUND: Iodine deficiency is one of the most prevalent micronutrient deficiencies globally. Women in reproductive age group are vulnerable to develop iodine deficiency as there is an increase in demand for iodine, especially during pregnancy. OBJECTIVES: The objective is to assess the prevalence of goiter and its association with iodine status and salt usage practices among the women of reproductive age group. METHODS: A community-based cross-sectional study was conducted from August 2015 to July 2017 among 1500 women of reproductive age group in five villages of Udupi Taluk. Stratified sampling design and proportion to population size of the reproductive age women in the study area was used to select the study participants. A pretested semi-structured questionnaire was used for data collection. Goiter was assessed clinically and graded as per the recommended criteria of the WHO. Salt samples from every household were collected for iodine estimation. Blood and urine samples were collected from subsample to estimate thyroid-stimulating hormone levels and urinary iodine excretion levels, respectively. RESULTS: The overall prevalence of goiter was 13% with 11.5% being Grade 1 and 1.5% being Grade 2. No significant association of goiter with urinary iodine, salt iodine levels, and salt usage practices was found. CONCLUSIONS: Median urinary iodine among the women with goiter indicates iodine sufficiency and no significant difference observed in urinary iodine levels between women with and without goiter.