The metabolic syndrome (MS) is a conglomerate of interrelated risk factors-including obesity, atherogenic dyslipidemia, arterial hypertension, and insulin resistance-which exponentially increase the risk of developing cardiovascular disease and type 2 diabetes mellitus. The purpose of this study was to determine the prevalence of MS according to the criteria published by the International Diabetes Federation, in individuals of both sexes over 18 years of age. This is a cross-sectional study based on MS prevalence in a representative sample from the Maracaibo district, Zulia State. The population of Maracaibo, according to the last census in 2001, was 1,219,927 habitants, with a 2007 population estimation of 1,428,043 habitants according to the National Institute of Statistics (NIS). Likewise, NIS projects that for the year 2009, 59.7% of the population of Venezuela will have individuals over 18 years of age. Using these data, the sample for Maracaibo District corresponds to 1986 individuals with or above 18 years of age. The data recollection was conducted by health professionals and medicine students, previously trained. The participants were subject to inquiry previous written consent and a medical examination, and qualitative variables such as smoking habit, socioeconomic status, physical activity, race, alcoholism, and nutritional habits, and quantitative ones like blood pressure, anthropometry, and blood works were determined. There is clear evidence that there is a lack of research and validated values to use as reference in our country and maybe in Latin America. Taking into account all that has been exposed here, this study will serve as a pilot for the numerous statistical determinations that will soon come afterward, providing first-hand accurate evidence on the behavior of the MS in the Latin American populace.
Background. Mathematical models such as Homeostasis Model Assessment have gained popularity in the evaluation of insulin resistance (IR). The purpose of this study was to estimate the optimal cut-off point for Homeostasis Model Assessment-2 Insulin Resistance (HOMA2-IR) in an adult population of Maracaibo, Venezuela. Methods. Descriptive, cross-sectional study with randomized, multistaged sampling included 2,026 adult individuals. IR was evaluated through HOMA2-IR calculation in 602 metabolically healthy individuals. For cut-off point estimation, two approaches were applied: HOMA2-IR percentile distribution and construction of ROC curves using sensitivity and specificity for selection. Results. HOMA2-IR arithmetic mean for the general population was 2.21 ± 1.42, with 2.18 ± 1.37 for women and 2.23 ± 1.47 for men (P = 0.466). When calculating HOMA2-IR for the healthy reference population, the resulting p75 was 2.00. Using ROC curves, the selected cut-off point was 1.95, with an area under the curve of 0.801, sensibility of 75.3%, and specificity of 72.8%. Conclusions. We propose an optimal cut-off point of 2.00 for HOMA2-IR, offering high sensitivity and specificity, sufficient for proper assessment of IR in the adult population of our city, Maracaibo. The determination of population-specific cut-off points is needed to evaluate risk for public health problems, such as obesity and metabolic syndrome.
Type 2 diabetes mellitus is a metabolic disorder that results from defects in both insulin secretion and insulin action. Questions remain about when insulin therapy is indicated; thus, the aim of this study was to evaluate homeostasis model assessment beta-cell (HOMAbetacell) values as surrogate criteria for insulin therapy indication in patients with type 2 diabetes. A prospective study was performed involving 189 type 2 diabetic patients with deficient metabolic control assessed by clinical and laboratory parameters. All patients received nutritional intervention and combination therapy with metformin and glimepiride. Patients who did not respond were admitted to the next phase, which consisted of glimepiride + metformin + rosiglitazone oral therapy and revaluation after 3 months. Comparisons between responders and nonresponders in this phase were made in order to achieve differences in metabolic parameters and beta cell function. Of 189 patients studied, 150 (79.36%) were considered full responders in the first phase of this study. The remaining 39 patients were admitted in the second trial phase, in which 20 patients (51.28%) responded to triple oral therapy, while the other 19 (49.72%) required insulin therapy. Significant differences were found in fasting and postprandial glycemia (P < 0.001; P < 0.004) between the non-insulin-requiring group (200 +/- 12.0 mg/dL; 266.05 +/- 17,67 mg/dL) and the insulin-requiring group (291.5 +/- 17.6 mg/dL; 361.6 +/- 26.1 mg/dL). Likewise, significant differences were observed in homeostasis model assessment insulin resistance (HOMAIR) and HOMAbetacell values (P < 0.002; P < 0.04) between non-insulin-requiring patients (7.7 +/- 0.8; 24.5 +/- 1.3%) and insulin-requiring patients (12.6 +/- 1.2; 19.4 +/- 2.4%). Finally, significant differences were observed when comparing body mass index (non-insulin-requiring group, 29.2 +/- 0.4 kg/m, versus insulin-requiring group, 27.1 +/- 0.9 kg/m; P < 0.05). HOMAbetacell determination in clinical practice is a useful tool to determine when insulin therapy should be started for type 2 diabetic patients.
Lipoprotein (a) [Lp(a)] was discovered by Kare Berg in 1963 from the study of low-density lipoprotein genetic variants. Lp(a) contains a unique protein, apolipoprotein(a), which is linked to the Apo B-100 through a disulfide bond that gives it a great structural homology with plasminogen, and confers it atherogenic and atherothrombotic properties. Interest in Lp(a) has increased because an important association between high plasma levels of Lp(a) and coronary artery disease and cerebral vascular disorders has been demonstrated. Numerous case control studies have confirmed that hyper-Lp(a) is a risk factor for premature cardiovascular disease. Lp(a) is identified as a genetic trait with autosomal transmission, codified by one of the most studied polymorphic genes in humans. It has been demonstrated that variations in this gene are a major factor in the serum levels of Lp(a). Variations differ considerably between individuals and sex across populations. Various approaches to drug treatment using fibric acid derivatives, growth hormone, insulin-like growth factor-1, alcohol extracted soy protein, niacin, and exercise have been proven to decrease Lp(a) in high risk patients, but none has really been an effective therapeutic option for successfully reducing Lp(a) plasma levels.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.