Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8651212 | The American Journal of Cardiology | 2018 | 20 Pages |
Abstract
It is unknown whether the association of high-sensitivity troponin I (hs-TnI) with adverse cardiovascular outcomes varies by the presence of chronic kidney disease (CKD). We examined the association of hs-TnI with adverse cardiovascular outcomes in those with and without CKD in 4,107 (mean age, 64 years; 63% men; 20% black) patients from the Emory Cardiovascular Biobank who underwent coronary angiography. CKD (nâ=â1,073) was defined as estimated glomerular filtration rate <60âml/min/1.73âm2 or urine albumin/creatinine ratio >30âmg/g at baseline. Cox regression was used to compute hazard ratios (HR) for the association between hs-TnI levels (per doubling of hs-TnI: log2[hs-TnI]â+â1) and death, cardiovascular death, and major adverse cardiac events (MACE), separately. Hs-TnI was a stronger predictor of death (CKD: HR 1.23, 95% confidence interval [CI] 1.15 to 1.31; no CKD: HR 1.11, 95% CI 1.05 to 1.17, p-interactionâ=â0.023), cardiovascular death (CKD: HR 1.24, 95% CI 1.14 to 1.34; no CKD: HR 1.15, 95% CI 1.07 to 1.22, p-interactionâ=â0.12), and MACE (CKD: HR 1.18, 95% CI 1.11 to 1.25; no CKD: HR 1.11, 95% CI 1.06 to 1.16, p-interactionâ=â0.095) in CKD compared with non-CKD. The association between hs-TnI and death in patients with CKD was stronger for patients without obstructive coronary artery disease (no obstructive coronary artery disease: HR 1.60, 95% CI 1.27 to 2.01; obstructive coronary artery disease: HR 1.19, 95% CI 1.11 to 1.27, p-interactionâ=â0.041). In conclusion, hs-TnI is a stronger predictor of adverse cardiovascular events in patients who have CKD than those without, even in the absence of obstructive coronary artery disease. Hs-TnI may identify CKD patients who are high risk for adverse cardiovascular outcomes in whom aggressive risk factor modification strategies are warranted.
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Authors
Pratik B. MD, Wesley T. MD, MPH, Ayman Samman MD, Salim S. MD, Suegene K. MD, Jay MD, Matthew L. MD, Muhammad MD, Ayman MD, Yi-An PhD, Mohamad Mazen MD, Agim MD, Gillian MD, Jonathan H. MD, Peter MD, Leslee PhD, Stephen E. MD, Laurence S. MD,