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- Bjerre, Mette, et al.
(författare)
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Serum osteoprotegerin as a long-term predictor for patients with stable coronary artery disease and its association with diabetes and statin treatment : A CLARICOR trial 10-year follow-up substudy
- 2020
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Ingår i: Atherosclerosis. - : Elsevier BV. - 0021-9150 .- 1879-1484. ; 301, s. 8-14
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND AND AIMS: Elevated circulating levels of osteoprotegerin (OPG) are known to add to the prediction of cardiovascular mortality. Our objective was to clarify the long-term risk associated with serum OPG and the possible influence of diabetes and statins on OPG levels in patients with stable coronary artery disease (CAD).METHODS: We assessed the placebo-treated group (n = 1998) from the CLARICOR trial (NCT00121550), a cohort with stable CAD. At entry, 15% of the participants had diabetes and 41% received statins. Serum OPG levels were measured in blood drawn at randomization. Participants were followed through public registers for 10 years.RESULTS: OPG levels correlated positively with diabetes status, age, CRP and female sex, but negatively with the use of statins. CAD participants with diabetes had significantly elevated serum OPG levels compared to participants without diabetes, p < 0.0001. The participants without diabetes treated with statins presented with significantly lower serum OPG levels than the corresponding non-statin-users (p < 0.0001). However, statin use showed no association with OPG levels in the participants with diabetes. High OPG levels at entry showed long-term associations with all-cause mortality and cardiovascular events (hazard ratio associated with factor 10 OPG increase 15.9 (95% CI 11.0-22.9) and 6.38 (4.60-8.90), p = 0.0001, even after adjustment for standard predictors (3.16 (1.90-5.25) and 2.29 (1.53-3.44), p < 0.0001).CONCLUSIONS: Circulating OPG holds long-term independent predictive ability for all-cause mortality and cardiovascular events in CAD participants. OPG levels were associated with diabetes, age, and female sex and statin treatment was associated with lower OPG levels in the absence of diabetes.
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| 2. |
- Schroder, Jakob, et al.
(författare)
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Prognosis And Reclassification By YKL-40 In Stable Coronary Artery Disease
- 2020
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Ingår i: Journal of the American Heart Association. - 2047-9980. ; 9:5
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundThe inflammatory biomarker YKL‐40 has previously been studied as a potential risk marker in cardiovascular disease. We aimed to assess the prognostic reclassification potential of serum YKL‐40 in patients with stable coronary artery disease.Methods and ResultsThe main study population was the placebo group of the CLARICOR (Effect of Clarithromycin on Mortality and Morbidity in Patients With Ischemic Heart Disease) trial. The primary outcome was a composite of acute myocardial infarction, unstable angina pectoris, cerebrovascular disease, and all‐cause mortality. We used Cox proportional hazards regression models adjusted for C‐reactive protein level and baseline cardiovascular risk factors. Improvement in prediction by adding serum YKL‐40 to the risk factors was calculated using the Cox‐Breslow method and c‐statistic. A total of 2200 patients were randomized to placebo, with a follow‐up duration of 10 years. YKL‐40 was associated with an increased risk of the composite outcome (hazard ratio per unit increase in (YKL‐40) 1.13, 95% CI 1.03–1.24, P=0.013) and all‐cause mortality (hazard ratio 1.32, 95% CI 1.17–1.49, P<0.0001). Considering whether a composite‐outcome event was more likely to have, or not have, occurred to date, we found 68.4% of such predictions to be correct when based on the standard predictors, and 68.5% when serum YKL‐40 was added as a predictor. Equivalent results were obtained with c‐statistics.ConclusionsHigher serum YKL‐40 was independently associated with an increased risk of adverse cardiovascular outcomes and mortality. Addition of YKL‐40 did not improve risk prediction in patients with stable coronary artery disease.
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| 3. |
- Winkel, Per, et al.
(författare)
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A screening method to spot biomarkers that may warn of serious events in a chronic disease - illustrated by cardiological CLARICOR trial data
- 2021
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Ingår i: Clinical Chemistry and Laboratory Medicine. - : Walter de Gruyter. - 1434-6621 .- 1437-4331. ; 59:11, s. 1852-1860
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Tidskriftsartikel (refereegranskat)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.
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| 4. |
- Winkel, Per, et al.
(författare)
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Prognostic value of 12 novel cardiological biomarkers in stable coronary artery disease : A 10-year follow-up of the placebo group of the Copenhagen CLARICOR trial
- 2020
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Ingår i: BMJ Open. - : BMJ. - 2044-6055. ; 10:8
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To assess if 12 novel circulating biomarkers, when added to 'standard predictors' available in general practice, could improve the 10-year prediction of cardiovascular events and mortality in patients with stable coronary heart disease.DESIGN: The patients participated as placebo receiving patients in the randomised clarithromycin for patients with stable coronary artery disease (CLARICOR) trial at a random time in their disease trajectory.SETTING: Five Copenhagen University cardiology departments and a coordinating centre.PARTICIPANTS: 1998 participants with stable coronary artery disease.OUTCOMES: Death and composite of myocardial infarction, unstable angina pectoris, cerebrovascular disease and death.RESULTS: When only 'standard predictors' were included, 83.4% of all-cause death predictions and 68.4% of composite outcome predictions were correct. Log(calprotectin) and log(cathepsin-S) were not associated (p≥0.01) with the outcomes, not even as single predictors. Adding the remaining 10 biomarkers (high-sensitive assay cardiac troponin T; neutrophil gelatinase-associated lipocalin; osteoprotegerin; N-terminal pro-B-type natriuretic peptide; tumour necrosis factor receptor 1 and 2; pregnancy-associated plasma protein A; endostatin; YKL40; cathepsin-B), which were all individually significantly associated with the prediction of the two outcomes, increased the figures to 84.7% and 69.7%.CONCLUSION: When 'standard predictors' routinely available in general practices are used for risk assessment in consecutively sampled patients with stable coronary artery disease, the addition of 10 novel biomarkers to the prediction model improved the correct prediction of all-cause death and the composite outcome by <1.5%.TRIAL REGISTRATION NUMBER: NCT00121550.
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