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Improving interMediAte risk management. MARK study

Ruth Martí1, Dídac Parramon, Luís García-Ortiz

  • 1Unitat d'Investigació en Atenció Primària de Girona, IDIAP Jordi Gol, Institut Català de la Salut 11, Girona 17071, Espanya.

BMC Cardiovascular Disorders
|October 14, 2011
PubMed

Insights

This study investigates if arterial stiffness, glucose levels, and comorbidities improve cardiovascular risk prediction in intermediate-risk patients. Findings aim to enhance early detection and prevention strategies for vascular events.

Area of Science:

  • Cardiology
  • Public Health
  • Preventive Medicine

Background:

  • Current cardiovascular risk functions inadequately identify over 50% of patients who develop cardiovascular disease, particularly those at intermediate risk.
  • Clinical management of intermediate-risk patients is challenging due to prediction limitations.

Purpose of the Study:

  • To determine if ankle-brachial index (ABI), arterial stiffness measures, postprandial glucose, glycosylated hemoglobin, self-measured blood pressure, and comorbidities are independently associated with vascular events.
  • To assess if these factors can enhance the predictive capacity of existing risk equations in intermediate-risk populations.

Main Methods:

  • A multicenter cohort of 2688 intermediate-risk patients without prior atherosclerotic disease was recruited.
  • Data collected included socio-demographics, lifestyle, comorbidities, ABI, arterial stiffness (pulse wave velocity, cardio ankle vascular index), blood pressure, and metabolic markers (lipids, glucose, HbA1c).
  • Patients were followed for 18 months, with longer-term follow-ups planned, to ascertain the incidence of vascular events.

Main Results:

  • Analysis will determine the independent association of proposed risk factors with vascular event incidence.
  • The study will evaluate the improvement in risk prediction when these factors are added to current risk equations.

Conclusions:

  • Improving cardiovascular disease risk prediction is crucial for effective primary prevention and public health.
  • Enhanced risk stratification in intermediate-risk populations can lead to timely and efficient implementation of preventive measures.
  • This research has the potential for immediate clinical and public health impact by refining risk assessment strategies.
Abstract

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