Otein (CRP) is a well-known non-specific indicator of inflammatory 1379592 status. [1?] Elevated levels of CRP have been associated with increased long-term risk of developing clinical manifestations of atherosclerotic disease in primary [4,5] and secondary prevention studies [6] although the incremental value of CRP for predicting risk, monitoring risk reduction and guiding treatment remains controversial. [7?1] Notwithstanding this uncertainty, there is increasing support for the clinical utility of CRP for risk prediction and for guiding preventive approaches [12,13]. Previous studies that have addressed the stability of CRP measurements within individuals over time are conflicting, [14?23] have not evaluated the complete spectrum of patients and have not extensively examined reproducibility while controlling for potentially confounding variables. Therefore, we undertook this study to prospectively determine the stability of serial CRP measurements over one year in stable subjects with several distinctmanifestations of coronary artery disease (CAD) and in a group without CAD while carefully controlling for known confounders. We based ourselves on previous work in which we found differences in AZ876 web biomarker patterns (albeit only measured once) in similar subsets of subjects [24].Methods PatientsWe recruited 4 groups of 25 stable subjects each (a convenience sample) who had either: 1) a history of recurrent ( 3) acute coronary 4EGI-1 Events (unstable angina or myocardial infarction [MI] with at least 2 of the latter) with the last event within 3 years but .3 months prior to blood sampling; 2) a single remote MI 7 years previously; 3) longstanding ( 7 years) stable CAD without previous acute instability; 4) no CAD; these latter subjects were sex and age-matched (within one year) with subjects in one of the other groups and had to have an unequivocally normal coronary angiogram performed within 3 years of blood sampling and no evidence of any vascular disease. The study subjects were identified in a tertiary cardiac hospital by scanning consecutiveCRP VariabilityTable 1. Clinical Characteristics of the 4 Study Groups.GROUPS1 Recurrent Events (n = 25)2 Single Remote MI (n = 25) 64.667.2 84 (21) 28.663.0 28 (7) 98.4610.4 12 (3) 72 (18) 16 (4) 16 (4) 48 (12) 96 (24) 3.9460.47 0 88.9624.7 7.469.7 0 5469 12.064.4 0 0 1.260.3 Longstanding Always Stable CAD (n = 25) 66.366.4 88 (22) 28.463.4 28 (7) 99.2611.5 16 (4) 56 (14) 28 (7) 28 (7) 72 (18) 96 (24) 3.9660.72 4 (1) 83.2616.8 28.7635.2 0 6467 16.767.9 4 (1) 12 (3) 1.260.4 No CAD (n = 25) 61.268.0 72 (18) 29.465.2 38 (9) 96.3612.7 12 (3) 60 (15) 28 (7) 0 52 (13) 36 (9) 4.7960.94 4 (1) 80.5611.7 12.5623.1 0 6265 ?0 0 1.260.Age (years) Sex (male) BMI (kg/m2) BMI .30 Waist circumference (cm) Current smoker Ex-smoker Never smoker Type 2 diabetes Hypertension Dyslipidemia 1st cholesterol value (mmol/L) History of renal failure Serum creatinine (mmol/L) Urinary albumin/creatinine ratio History of heart failure LV ejection fraction ( ) Duration CAD (years) Stroke/TIA Peripheral arterial disease Ankle/brachial index Medications Lipid-lowering drugs Angiotensin modulators Beta-blockers Aspirin/antiplatelet drugs65.668.4* 88 (22){ 29.964.1 52 (13) 103.7610.7 28 (7) 60 (15) 12 (3) 32 (8) 80 (20) 100 (25) 3.8160.94 8 (2) 89.2624.6 25.7633.5 32 (8) 46612 19.0610.1 4 (1) 20 (5) 1.160.96 (24) 72 (18) 88 (22) 96 (24)96 (24) 44 (11) 68 (17) 100 (25)92 (23) 36 (9) 72 (18) 96.Otein (CRP) is a well-known non-specific indicator of inflammatory 1379592 status. [1?] Elevated levels of CRP have been associated with increased long-term risk of developing clinical manifestations of atherosclerotic disease in primary [4,5] and secondary prevention studies [6] although the incremental value of CRP for predicting risk, monitoring risk reduction and guiding treatment remains controversial. [7?1] Notwithstanding this uncertainty, there is increasing support for the clinical utility of CRP for risk prediction and for guiding preventive approaches [12,13]. Previous studies that have addressed the stability of CRP measurements within individuals over time are conflicting, [14?23] have not evaluated the complete spectrum of patients and have not extensively examined reproducibility while controlling for potentially confounding variables. Therefore, we undertook this study to prospectively determine the stability of serial CRP measurements over one year in stable subjects with several distinctmanifestations of coronary artery disease (CAD) and in a group without CAD while carefully controlling for known confounders. We based ourselves on previous work in which we found differences in biomarker patterns (albeit only measured once) in similar subsets of subjects [24].Methods PatientsWe recruited 4 groups of 25 stable subjects each (a convenience sample) who had either: 1) a history of recurrent ( 3) acute coronary events (unstable angina or myocardial infarction [MI] with at least 2 of the latter) with the last event within 3 years but .3 months prior to blood sampling; 2) a single remote MI 7 years previously; 3) longstanding ( 7 years) stable CAD without previous acute instability; 4) no CAD; these latter subjects were sex and age-matched (within one year) with subjects in one of the other groups and had to have an unequivocally normal coronary angiogram performed within 3 years of blood sampling and no evidence of any vascular disease. The study subjects were identified in a tertiary cardiac hospital by scanning consecutiveCRP VariabilityTable 1. Clinical Characteristics of the 4 Study Groups.GROUPS1 Recurrent Events (n = 25)2 Single Remote MI (n = 25) 64.667.2 84 (21) 28.663.0 28 (7) 98.4610.4 12 (3) 72 (18) 16 (4) 16 (4) 48 (12) 96 (24) 3.9460.47 0 88.9624.7 7.469.7 0 5469 12.064.4 0 0 1.260.3 Longstanding Always Stable CAD (n = 25) 66.366.4 88 (22) 28.463.4 28 (7) 99.2611.5 16 (4) 56 (14) 28 (7) 28 (7) 72 (18) 96 (24) 3.9660.72 4 (1) 83.2616.8 28.7635.2 0 6467 16.767.9 4 (1) 12 (3) 1.260.4 No CAD (n = 25) 61.268.0 72 (18) 29.465.2 38 (9) 96.3612.7 12 (3) 60 (15) 28 (7) 0 52 (13) 36 (9) 4.7960.94 4 (1) 80.5611.7 12.5623.1 0 6265 ?0 0 1.260.Age (years) Sex (male) BMI (kg/m2) BMI .30 Waist circumference (cm) Current smoker Ex-smoker Never smoker Type 2 diabetes Hypertension Dyslipidemia 1st cholesterol value (mmol/L) History of renal failure Serum creatinine (mmol/L) Urinary albumin/creatinine ratio History of heart failure LV ejection fraction ( ) Duration CAD (years) Stroke/TIA Peripheral arterial disease Ankle/brachial index Medications Lipid-lowering drugs Angiotensin modulators Beta-blockers Aspirin/antiplatelet drugs65.668.4* 88 (22){ 29.964.1 52 (13) 103.7610.7 28 (7) 60 (15) 12 (3) 32 (8) 80 (20) 100 (25) 3.8160.94 8 (2) 89.2624.6 25.7633.5 32 (8) 46612 19.0610.1 4 (1) 20 (5) 1.160.96 (24) 72 (18) 88 (22) 96 (24)96 (24) 44 (11) 68 (17) 100 (25)92 (23) 36 (9) 72 (18) 96.