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Early Detection of Myocardial Ischaemia in Suspected Acute Coronary Syndromes by Apo J-Glyc

Completed
Conditions
Myocardial Ischemia
Interventions
Diagnostic Test: Blood collection
Registration Number
NCT04119882
Lead Sponsor
Glycardial Diagnostics S.L.
Brief Summary

The objective of the study is to assess the performance characteristics of Apo J-Glyc as a novel biomarker for the early detection of myocardial ischaemia in patients with suspected acute coronary syndromes.

Detailed Description

This in vitro diagnosis clinical validation will test the Performance Characteristics of Apo J-Glyc measured with a novel in vitro diagnostic (IVD) test. Blood samples from eligible consenting subjects will be collected at hospital admission, throughout different post admission times (1h, 3h, 24h and 72h or discharge). The quantification of circulating Apo J-Glyc levels will be analysed in correlation with clinical data providing information about Apo J-Glyc as an ischaemia biomarker and its diagnostic and 6-months prognostic value.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
404
Inclusion Criteria
  • Age equal or above 18 years old
  • Chest pain of suspected cardiac origin
  • Signature of informed consent
  • Able and willing to comply with study requirements
Exclusion Criteria
  • Prior inclusion in the same study
  • Life expectancy less than 6 months
  • Previous inclusion in a therapy-related clinical trial (except clinical trials testing Medical Devices such as stents and/or balloons)

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Negative for ischaemiaBlood collectionBlood test for 283 patients with no cardiac ischemic event
Positive for ischaemiaBlood collectionBlood test for 121 patients with confirmed cardiac ischemic event
Primary Outcome Measures
NameTimeMethod
Cut-off value point of Apo J-Gly levels at admission for the early diagnosis of cardiac ischaemia3 hours

Cut-off value point of Apo J-Gly levels at admission for the early diagnosis of cardiac ischaemia as compared to final diagnosis at discharge following routine practice to manage chest pain patients with possible ACS.

Specificity3 hours

Specificity results will be generated from subject's blood collected at different collection time points.

Area under the Receiver Operating characteristic Curve (A-ROC curve)3 hours

Area under the Receiver Operating characteristic Curve will be used to determine the optimum clinical sensitivity and specificity. Results will be generated from subject's blood collected at different collection time points.

Sensitivity3 hours

Sensitivity results will be generated from subject's blood collected at different collection time points.

Positive Predictive Value (PPV)3 hours

Positive Predictive Value results will be generated from subject's blood collected at different collection time points.

Negative Predictive Value (NPV)3 hour

Negative Predictive Value results will be generated from subject's blood collected at different collection time points.

Secondary Outcome Measures
NameTimeMethod
Prognosis and risk-stratification. Incidence of Major following Adverse Cardiac Event (MACE).From admission to up to 6 months

Subjects will be assessed for the in-hospital and 6-month incidence of any Major following Adverse Cardiac Event (MACE).

Trial Locations

Locations (10)

Hospital Universitario Central de Asturias (HUCA)

🇪🇸

Oviedo, Spain

Hospital de la Santa Creu i Sant Pau

🇪🇸

Barcelona, Spain

Hospital General Universitario Gregorio Marañón

🇪🇸

Madrid, Spain

Hospital Universitario La Paz

🇪🇸

Madrid, Spain

Hospital Universitario San Juan de Alicante

🇪🇸

San Juan De Alicante, Spain

Hospital Clínico Universitario de Santiago de Compostela

🇪🇸

Santiago De Compostela, Spain

Hospital Álvaro Cunqueiro de Vigo

🇪🇸

Vigo, Spain

Hospital Universitario Virgen de la Macarena

🇪🇸

Sevilla, Spain

Chelsea and Westminister Hospital NHS Foundation Trust

🇬🇧

London, United Kingdom

East & North Hertfordshire NHS Trust, Lister Hospital

🇬🇧

Stevenage, United Kingdom

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