A screening method to spot biomarkers that may warn of serious events in a chronic disease – illustrated by cardiological CLARICOR trial data

Author:

Winkel Per1,Hilden Jørgen2,Jakobsen Janus Christian134,Lindschou Jane1,Jensen Gorm Boje5,Kjøller Erik6,Sajadieh Ahmad7,Kastrup Jens8,Kolmos Hans Jørn9,Larsson Anders10,Ärnlöv Johan11,Bjerre Mette12,Gluud Christian14

Affiliation:

1. Copenhagen Trial Unit, Centre for Clinical Intervention Research, Rigshospitalet , Copenhagen University Hospital , Copenhagen , Denmark

2. Department of Public Health Research, Section of Biostatistics , University of Copenhagen , Copenhagen , Denmark

3. Department of Cardiology , Holbæk Hospital , Holbæk , Denmark

4. Department of Regional Health Research, The Faculty of Heath Sciences , University of Southern Denmark , Odense , Denmark

5. Department of Cardiology, Hvidovre Hospital , Copenhagen University Hospital , Copenhagen , Denmark

6. Department of Cardiology S, Herlev Hospital , Copenhagen University Hospital , Copenhagen , Denmark

7. Department of Cardiology, Bispebjerg Hospital , University Hospital , Copenhagen , Denmark

8. Department of Cardiology B, The Heart Centre, Rigshospitalet , Copenhagen University Hospital , Copenhagen , Denmark

9. Department of Clinical Microbiology , Odense University Hospital , Odense , Denmark

10. Department of Medical Sciences , Uppsala University , Uppsala , Sweden

11. Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care , Karolinska Institute , Huddinge , Sweden

12. Department of Clinical Medicine, The Medical Research Laboratory , Aarhus University , Aarhus , Denmark

Abstract

Abstract Objectives To develop a crude screening method for detecting biomarkers which frequently exhibit a rise (or fall) in level prior to a serious event (e.g. a stroke) in patients with a chronic disease, signalling that the biomarker may have an alarm-raising or prognostic potential. The subsequent assessment of the marker’s clinical utility requires costly, difficult longitudinal studies. Therefore, initial screening of candidate-biomarkers is desirable. Methods The method exploits a cohort of patients with biomarkers measured at entry and with recording of first serious event during follow-up. Copying those individual records onto a common timeline where a specific event occurs on the same day (Day 0) for all patients, the baseline biomarker level, when plotted against the patient’s entry time on the revised timeline, will have a positive (negative) regression slope if biomarker levels generally rise (decline) the closer one gets to the event. As an example, we study 1,958 placebo-treated patients with stable coronary artery disease followed for nine years in the CLARICOR trial (NCT00121550), examining 11 newer biomarkers. Results Rising average serum levels of cardiac troponin T and of N-terminal pro-B-type natriuretic peptide were seen prior to a fatal cardiovascular outcome. C-reactive protein rose prior to non-cardiovascular death. Glomerular filtration rate, seven lipoproteins, and nine newer cardiological biomarkers did not show convincing changes. Conclusions For early detection of biomarkers with an alarm-raising potential in chronic diseases, we proposed the described easy procedure. Using only baseline biomarker values and clinical course of participants with coronary heart disease, we identified the same cardiovascular biomarkers as those previously found containing prognostic information using longitudinal or survival analysis.

Publisher

Walter de Gruyter GmbH

Subject

Biochemistry (medical),Clinical Biochemistry,General Medicine

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