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Kalevi Pyörälä

Researcher at European Society of Cardiology

Publications -  217
Citations -  57873

Kalevi Pyörälä is an academic researcher from European Society of Cardiology. The author has contributed to research in topics: Diabetes mellitus & Myocardial infarction. The author has an hindex of 87, co-authored 217 publications receiving 56802 citations.

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Cardiovascular risk factors clustering with endogenous hyperinsulinaemia predict death from coronary heart disease in patients with Type II diabetes.

TL;DR: The results support the notion that cardiovascular risk factors clustering with endogenous hyperinsulinaemia increase the risk of death from CHD in patients with Type II diabetes not treated with insulin.
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C-reactive protein, fibrinogen, interleukin-6 and tumour necrosis factor-α in the prognostic classification of unstable angina pectoris

TL;DR: Elevated levels of acute-phase proteins and cytokines, particularly CRP and IL-6, are strong predictors of the risk of serious coronary events in patients with UAP.
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Risk Factors Predicting Lower Extremity Amputations in Patients With NIDDM

TL;DR: There is strong evidence that poor glycemic control is an important predictor of amputation in patients with NIDDM in addition to clinically detectable peripheral arterial disease and peripheral neuropathy.
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Two-hour glucose is a better risk predictor for incident coronary heart disease and cardiovascular mortality than fasting glucose.

TL;DR: 2-h glucose is superior to fasting glucose in assessing the risk of future cardiovascular disease events in subjects without a prior history of diabetes, and the association of 2-H glucose with coronary heart disease incidence and cardiovascular morality is graded and independent.
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Prediction of the risk of cardiovascular mortality using a score that includes glucose as a risk factor. The DECODE Study.

TL;DR: 5- and 10-year risk scores for cardiovascular mortality that include glucose concentrations as well as known diabetes status are developed that provide quantitative information on cardiovascular risk prediction.