Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0011854 (type 1 diabetes)
20,749 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The management of dyslipidemia in adults with diabetes is receiving more attention. However, there is a paucity of large, prospective, randomized outcome trials designed for diabetic patients. Diabetic dyslipidemia is characterized by an increase in triglyceride levels, low high-density lipoprotein (HDL) cholesterol concentrations, and small, dense low-density lipoprotein (LDL) particles. The treatment goals include an LDL cholesterol less than 100 mg/dL, triglyceride level less than 150 mg/dL, and an HDL greater than 40 mg/dL for men and more than 50 mg/dL for women. In the Diabetic Atherosclerosis Intervention Study, fenofibrate resulted in a 42% less increase in the percent stenosis, as assessed by quantitative coronary arteriography. The Heart Protection Study documented the unambiguous benefit of simvastatin in reducing all-cause mortality among 5963 diabetic patients. The Lescol Intervention Prevention Study observed a reduction in major adverse cardiac events in diabetics undergoing percutaneous intervention who received fluvastatin. The Veterans Affairs HDL Cholesterol Intervention Trial reported a reduction in major coronary events among 627 diabetic patients with low HDL cholesterol who sustained a myocardial infarction. The Fenofibrate Intervention and Event Lowering in Diabetics (FIELD) Trial (n = 9795), the Action to Control Cardiovascular Risk in Diabetes (ACCORD, n = 10,000), the Atorvastatin Study for Prevention of Coronary Heart Disease Endpoints in Non Insulin Dependent Diabetes Mellitus (ASPEN, n = 2421), and the Collaborative Atorvastatin Diabetes Study (CARDS, n = 2140) will provide the prospective outcome data that are needed for the management of patients. Combination drug therapy will be necessary to achieve treatment goals. Careful monitoring will be required to avoid myositis and hepatotoxicity.
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PMID:Clinical trials and lipid guidelines for type II diabetes. 1505 51

Vitamin D deficiency is a risk factor for osteoporosis and other chronic diseases, including type 1 diabetes, hypertension, metabolic syndrome, and ischemic heart disease. Cholesterol and vitamin D share the 7-dehydrocholesterol metabolic pathway. This study evaluated the possible effect of atorvastatin on vitamin D levels in patients with acute ischemic heart disease. Eighty-three patients (52 men and 31 women) with an acute coronary syndrome (75 with acute myocardial infarction and 8 with unstable angina) were included. After diagnosis, patients received atorvastatin as secondary prevention. Serum vitamin D was measured by high-performance liquid chromatography at baseline and at 12 months. Atorvastatin treatment produced a statistically significant decrease in cholesterol and triglyceride levels and an increase in vitamin D levels (41+/-19 vs 47+/-19 nmol/L, p=0.003). Vitamin D deficiency was decreased by 75% to 57% at 12 months. In conclusion, atorvastatin increases vitamin D levels. This increase could explain some of the beneficial effects of atorvastatin at the cardiovascular level that are unrelated to cholesterol levels.
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PMID:Effects of Atorvastatin on vitamin D levels in patients with acute ischemic heart disease. 1792 Mar 83

Computer simulation models are mathematical equations combined in a structured framework to represent some real or hypothetical system. One of their uses is to allow the projection of short-term data from clinical trials to evaluate clinical outcomes and costs over a long-term period. This technology is becoming increasingly important to assist decision making in modern medicine in situations where there is a paucity of long-term clinical trial data, as recently acknowledged in the American Diabetes Association Consensus Panel Guidelines for Computer Modeling of Diabetes and its Complications. The Mount Hood Challenge Meetings provide a forum for computer modelers of diabetes to discuss and compare models and identify key areas of future development to advance the field. The Fourth Mount Hood Challenge in 2004 was the first meeting of its kind to ask modelers to perform simulations of outcomes for patients in published clinical trials, allowing comparison against "real life" data. Eight modeling groups participated in the challenge. Each group was given three of the following challenges: to simulate a trial of type 2 diabetes (CARDS [Collaborative Atorvastatin Diabetes Study]); to simulate a trial of type 1 diabetes (DCCT [Diabetes Control and Complications Trial]); and to calculate outcomes for a hypothetical, precisely specified patient (cross-model validation). The results of the models varied from each other and for methodological reasons, in some cases, from the published trial data in important ways. This approach of performing systematic comparisons and validation exercises has enabled the identification of key differences among the models, as well as their possible causes and directions for improvement in the future.
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PMID:Computer modeling of diabetes and its complications: a report on the Fourth Mount Hood Challenge Meeting. 1752 23