TY - JOUR
T1 - Cardiovascular disease risk in early rheumatoid arthritis
T2 - the impact of cartilage oligomeric matrix protein (COMP) and disease activity
AU - Rydell, Emil
AU - Jacobsson, Lennart Th
AU - Saxne, Tore
AU - Turesson, Carl
PY - 2023/12
Y1 - 2023/12
N2 - Background: To investigate whether baseline serum cartilage oligomeric matrix protein (COMP), patient characteristics, traditional cardiovascular disease (CVD) risk factors and disease activity over time predict CVD, in early rheumatoid arthritis (RA). Methods: This study included patients with early RA (< 12 months disease duration) (n = 233) recruited 1995–2005. Potential predictors of CVD and coronary artery disease (CAD) were assessed using Cox regression. Results: A first ever diagnosis of CVD occurred in 70 patients, and CAD in 52. Age, sex, hypertension and diabetes predicted CVD and CAD. COMP was associated with increased risk of CVD and CAD [crude hazard ratios (HRs) per SD 1.45; 95% CI 1.17–1.80 and 1.51; 95% CI 1.18–1.92, respectively]. When adjusted for age, sex, hypertension, diabetes and ESR, results where similar but did not reach significance [HRs 1.32, 95% CI 0.99–1.74 and 1.35, 95% CI 0.99–1.86]. Baseline disease activity did not independently predict CVD. High DAS28 (> 5.1) at two years was associated with increased risk of subsequent CVD [adjusted HR 2.58; 95% CI 1.10–6.04] and CAD. ESR and CRP at two years as well as cumulative disease activity over 2 years independently predicted CVD and CAD. Conclusion: COMP may be a novel predictor of CVD and CAD in RA. Active disease two years after RA diagnosis, as well as cumulative disease activity, was associated with increased risk of CVD and CAD, independent of traditional CVD risk factors. Awareness of the particularly increased CVD risk among difficult to treat patients is important in order to further reduce CVD in RA.
AB - Background: To investigate whether baseline serum cartilage oligomeric matrix protein (COMP), patient characteristics, traditional cardiovascular disease (CVD) risk factors and disease activity over time predict CVD, in early rheumatoid arthritis (RA). Methods: This study included patients with early RA (< 12 months disease duration) (n = 233) recruited 1995–2005. Potential predictors of CVD and coronary artery disease (CAD) were assessed using Cox regression. Results: A first ever diagnosis of CVD occurred in 70 patients, and CAD in 52. Age, sex, hypertension and diabetes predicted CVD and CAD. COMP was associated with increased risk of CVD and CAD [crude hazard ratios (HRs) per SD 1.45; 95% CI 1.17–1.80 and 1.51; 95% CI 1.18–1.92, respectively]. When adjusted for age, sex, hypertension, diabetes and ESR, results where similar but did not reach significance [HRs 1.32, 95% CI 0.99–1.74 and 1.35, 95% CI 0.99–1.86]. Baseline disease activity did not independently predict CVD. High DAS28 (> 5.1) at two years was associated with increased risk of subsequent CVD [adjusted HR 2.58; 95% CI 1.10–6.04] and CAD. ESR and CRP at two years as well as cumulative disease activity over 2 years independently predicted CVD and CAD. Conclusion: COMP may be a novel predictor of CVD and CAD in RA. Active disease two years after RA diagnosis, as well as cumulative disease activity, was associated with increased risk of CVD and CAD, independent of traditional CVD risk factors. Awareness of the particularly increased CVD risk among difficult to treat patients is important in order to further reduce CVD in RA.
KW - Arthritis, rheumatoid
KW - Biomarkers
KW - Cardiovascular Diseases
KW - Prognosis
U2 - 10.1186/s41927-023-00367-2
DO - 10.1186/s41927-023-00367-2
M3 - Article
C2 - 38037148
AN - SCOPUS:85178200353
SN - 2520-1026
VL - 7
JO - BMC Rheumatology
JF - BMC Rheumatology
IS - 1
M1 - 43
ER -