PRAISE · Risk stratification in cardiovascular patients without ST-segment elevation: a new method using plasma 1H NMR metabolic analysis
FP6 — Marie Curie Actions (Human Resources and Mobility)
- Duration
- 2005-06-24 → 2006-06-23
- EU contribution
- €18,271
- Participants
- 1
- Scheme
- ERG
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Results in brief
Final Activity Report Summary - PRAISE (Risk stratification in cardiovascular patients without ST-segment elevation: a new method using plasma 1H NMR metabolic analysis)
The purpose of this study was to develop a 1H-nuclear magnetic resonance metabolomic approach capable of predicting the occurrence of exercise-induced ischemia in patients with suspected coronary artery disease, and to identify the metabolite patterns that contribute most importantly to the prediction. In 31 patients with suspected effort angina and without previous myocardial infarction, serum was obtained just prior to a stress single-photon emission computed tomography. NMR spectra were acquired with pulse-and-acquire and T2-edited sequences. The region between 0.50 and 4.25 ppm was used for analysis. Twenty-two patients had reversible myocardial perfusion defects and nine did not. Both groups had similar age and clinical profile, except for more smokers and diabetics in the ischemia group, and attained a similar peak heart rate. The best separation was achieved with long T2-edited spectra, 84 % of patients being correctly classified based on the partial least square discriminant analysis. The main contributors to discrimination were lactate, glucose as well as methyl and methylene moieties of lipids and long-chain amino acids. Metabolomic analysis of serum can predict exercise-inducible ischemia in patients with suspected coronary artery disease. This capability could be useful in screening and risk stratification of patients with coronary risk factors.
Data: CORDIS, © European Union
Project objective
Being able to diagnose cardiovascular diseases shortly after a patient's arrival at the hospital may be of great clinical importance because any delay in applying the proper treatment may hamper its efficiency and, hence, have a great effect on the patients survival. The objective of the project is to develop a method to diagnose cardiovascular diseases. We will use pattern recognition techniques based on NMR spectra obtained from plasma. Our short-term objective is to prove that NMR based metabolic analysis can be applied as a diagnostic tool. To achieve this we will first focus on the prognosis of unstable angina patients.Some of those patients do recover only with pharmacological treatment while others do need more aggressive re-vascularisation approach in order to avoid further acute cardiovascular events. Providing a prognosis for angina will undoubtedly improve the treatment and, also, we think that by being a simpler approach than trying to diagnose all of cardiovascular disease we do increase our chances of success.High field NMR spectra from plasma will be correlated with the patient clinical outcome using a wide range of chemometric and pattern recognition strategies. We expect to obtain a software algorithm that with the input of a NMR spectra will provide a score (number) directly related to the condition and short term evolution of the patient. The final goal of the project is to be able to test the system in a clinical environment. If, on top of accuracy and specificity, we can get results within an hour or receiving the sample then we will be confident that the methodology could be applied at the accident and emergency (A&E) environment.
Original text from CORDIS.
Participants
- FUNDACIÓ INSTITUT DE RECERCA DE L¿HOSPITAL UNIVERSITARI VALL D¿HEBRON · BARCELONACoordinatorCity levelSpain
Links
Data: CORDIS, © European Union