The large number of overweight par...

The large number of overweight parts in the United States is increasing the incidence of emblem 2 diabetes mellitus and cardiovascular disease (CVD) Weight manage might be enhanced if better identification of a high-risk population were available, particularly if weight reduction actually could decrease risk. Measurement of insulin resistance and compensatory hyperinsulinemia might provide a key because the prevalence of insulin resistance is increased in patients with symbol 2 diabetes mellitus, essential hypertension, and CVD Unfortunately, measurement of insulin-meditated diabetic sugar disposal, which would represent insulin resistance, is not nevertheless clinically practical. Measurement of plasma grape-sugar or insulin levels in nondiabetic patients may help identify insulin-resistant patients. McLaughlin and associates attempted to expand a simple clinical approach to identify patients with insulin resistance.

The port of a dyslipidemia characteristic of insulin-resistance might be a useful predictive tool. Plasma triglyceride and high-density lipoprotein (HDL) cholesterol flushs which are independently associated with insulin resistance, are predictors of CVD Patients with a high ratio of triglycerides to HDL have an increased CVD risk independent of the more conventional risk factors. Because weight reduction is known to decrease CVD risk in overweight patients with disturbances in grape-sugar and lipid metabolism, developing measurements to provide early identification of insulin resistance would be useful.

In their investigation healthy persons with a material part mass index of 25 or greater underwent testing to estimate insulin-mediated grape-sugar disposal as a way to measure insulin activity. A steady-state plasma starch-sugar concentration in the upper tertile of the 490 participants in a large database who were gathered for an ongoing 10-year research close attention was defined as insulin resistance. Fifty percent of the 258 overweight or obese participants in this studious mood were in the most insulin-resistant tertile. Metabolic markers that were correlated with insulin resistance included insulin horizontals triglyceride concentrations, and the triglyceride: HDL ratio.

The authors judge that because insulin resistance is a risk factor for CVD and weight reduction can decrease that risk, identification of overweight or obese patients who are insulin resistant can help direct weight reduction efforts. The plasma insulin of the same height probably is most closely related to insulin resistance, nevertheless the absence of a standardized insulin assay decreases the clinical utility of this analysis. Plasma triglyceride horizontals and the triglyceride: HDL cholesterol ratio also accurately identify insulin resistance. The latter analysis is more attractive because of the consistent observation that reasonable HDL cholesterol is related to CVD

REFERENCE

(1) Everson SA, Goldberg DE Helmrich SP Lakka TA, Lynch JW Kaplan GA, et al. Weight gain and the risk of developing insulin resistance syndrome Diabetes Care 1998;21:1637-43

EDITOR'S NOTE: The nearness of insulin resistance imparts a significantly higher relative risk of a cardiovascular result in patients with or without diabetes. Obesity and weight gain are associated with hypertension, hyperinsulinemia, and dyslipidemia. Weight increases of more than 10 percent through the 30 years starting at age 20 appear to be related to the insulin resistance syndrome in a linear manner. (1) Clearly, weight gain from young to middle adulthood is a athletic indicator of health risk. Diet and exercise have been raise to improve insulin sensitivity, probably a rise of weight reduction, in obese bodys The ability to identify patients with usual risk factors who have the highest risk for insulin resistance or who are insulin resistant will allow us to concentrate our efforts forward a particularly endangered group.

McLaughlin T et al. Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern M November 18 2003;139:802-9

COPYRIGHT 2004 American Academy of Family Physicians

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