Key result
Log hs-cTnT (HR 1.38, P=0.0006) and log NT-proBNP (HR 1.24, P=0.0001) predicted CVD over 21 years in type 1 diabetes, but did not improve prediction beyond traditional risk factor models.
Why the study?
hs-cTnT and NT-proBNP had not been widely studied in type 1 diabetes to determine whether they enhance the prediction of CVD and MACE.
Does the assessment of hs-cTnT and NT-proBNP improve the prediction of cardiovascular events in patients with type 1 diabetes?
Cohort (n=581)
Does the assessment of hs-cTnT and NT-proBNP improve the prediction of cardiovascular events in patients with type 1 diabetes?
In patients with type 1 diabetes, hs-cTnT and NT-proBNP independently predict cardiovascular events but do not enhance risk prediction beyond traditional risk factors.
Answers are grounded in this paper and cite their sources.
Do not support adding hs-cTnT or NT-proBNP to CVD risk models in type 1 diabetes; leaves open utility in refined models or subgroups.
OBJECTIVE High-sensitivity cardiac troponin-T (hs-cTnT) and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP), biomarkers of cardiovascular disease (CVD) and heart failure, respectively, have not been widely studied in type 1 diabetes (T1D). We evaluated whether their assessment in T1D enhances the prediction of CVD and major adverse cardiovascular events (MACE). RESEARCH DESIGN AND METHODS hs-cTnT and NT-proBNP were analyzed on the Roche Cobas E601 using the first available stored specimen (n = 581; mean age 29 years and diabetes duration 21 years). CVD was defined as CVD death, myocardial infarction, coronary revascularization, angina, ischemia, or stroke, and MACE as CVD death, myocardial infarction, or stroke. RESULTS Median hs-cTnT (5.0 ng/L; interquartile range <3.0, 10.0) was higher among men (P < 0.0001), whereas median NT-proBNP (22.0 ng/L; 7.0, 61.0) did not differ by sex. In Cox models, log hs-cTnT (hazard ratio [HR] 1.38, P = 0.0006) and log NT-proBNP (HR 1.24, P = 0.0001) independently predicted CVD during 21 years of follow-up. However, their addition to models, singly or together, did not significantly improve CVD prediction. Furthermore, a marginally significant sex interaction was observed (P = 0.06), indicating that the hs-cTnT prediction was limited to men. hs-cTnT and NT-proBNP also predicted MACE, although only NT-proBNP remained significant (HR 1.27, P = 0.0009) when the biomarkers were included in a model simultaneously. Nonetheless, their addition to multivariable models did not enhance MACE prediction. CONCLUSIONS Sex differences were observed in the concentration and predictive ability of hs-cTnT and NT-proBNP in T1D. Overall, their addition to traditional risk factor models increased the area under the curve for neither CVD nor MACE.
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Costacou et al. (2020) conducted a cohort in Type 1 diabetes (n=581). High-sensitivity cardiac troponin-T (hs-cTnT) and NT-proBNP vs. Traditional risk factor models was evaluated on Cardiovascular disease (CVD death, myocardial infarction, coronary revascularization, angina, ischemia, or stroke) (HR 1.38, p=0.0006). Log hs-cTnT (HR 1.38, P=0.0006) and log NT-proBNP (HR 1.24, P=0.0001) predicted CVD over 21 years in type 1 diabetes, but did not improve prediction beyond traditional risk factor models.
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