Risk stratification in cardiovascular patients without ST-segment elevation: a new method using plasma 1H NMR metabolic analysis

Projektinformationen

PRAISE

ID Finanzhilfevereinbarung: 513595

Projekt abgeschlossen

Startdatum 24 Juni 2005

Enddatum 23 Juni 2006

Finanziert unter

• Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006

Gesamtkosten € 0,00

EU-Beitrag € 18 271,00

Koordiniert durch

FUNDACIÓ INSTITUT DE RECERCA DE L¿HOSPITAL UNIVERSITARI VALL D¿HEBRON
Spain

Ziel

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.

Wissenschaftliches Gebiet

• medical and health sciences › clinical medicine › endocrinology › diabetes
• social sciences › sociology › social issues › social inequalities
• medical and health sciences › clinical medicine › cardiology › cardiovascular diseases
• natural sciences › computer and information sciences › artificial intelligence › pattern recognition
• natural sciences › chemical sciences › organic chemistry › amines

Programm/Programme

• FP6-MOBILITY - Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006

Thema/Themen

• MOBILITY-4.1 - Marie Curie European Reintegration Grants (ERG)

Aufforderung zur Vorschlagseinreichung

FP6-2002-MOBILITY-11
Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

ERG - Marie Curie actions-European Re-integration Grants

Koordinator

FUNDACIÓ INSTITUT DE RECERCA DE L¿HOSPITAL UNIVERSITARI VALL D¿HEBRON

• EU-Beitrag: Keine Daten
• Adresse: Passeig vall d'Hebron 119-129 ; BARCELONA ; Spanien
• Gesamtkosten: Keine Daten