Key result
Variations in renal function were nonlinearly associated with relative changes in hs-cTnT, but adjusting for these variations led to <2% diagnostic discrepancies for myocardial injury.
Why the study?
While the relationship between hs-cTnT and renal markers is known, the extent to which their variations are associated remains to be explored.
Observational (n=106,567)
Considering renal function variations when interpreting relative changes in high-sensitivity cardiac troponin T has a minor clinical impact on the diagnosis rate of myocardial injury.
Clinicians should factor concurrent renal changes into hs-cTnT delta interpretation; leaves open whether adjustment improves MI classification in practice.
OBJECTIVES: The relationship between high-sensitive cardiac troponin T concentration (hs-cTnT) and renal markers levels is known. However, the extent to which their variations are associated remains to be explored. Objective: model the relationship between relative changes in hs-cTnT (Δhs-cTnT) and variations in creatinine (Δcre) or estimated glomerular filtration rate (ΔeGFR), using a quantile generalized additive model (qgam). METHODS: Concomitant plasma Δhs-cTnT and Δcre from patients aged 18-100 years, selected with a time variation (Δtime) of 3 h-7 days, were collected over a 5.8-year period. Relationships between Δhs-cTnT and covariates Δcre (A) or ΔeGFR (B), including age, Δtime, hour of blood sampling (HSB) and covariates interactions were fitted using qgam. RESULTS: On the whole (n=106567), Δhs-cTnT was mainly associated with Δcre, in a positive and nonlinear way (-21, -6, +5, +20, +55% for -50, -20, +20, +50, +100%, respectively), but to a lesser extent with age (min -9%, max +2%), Δtime (min -4%, max +8%), and HSB (min -5%, max +7%). Δhs-cTnT was negatively associated with ΔeGFR (+46, +7, -5, -11, -20% for -50, -20, +20, +50, +100%, respectively). Classifying Δhs-cTnT as consistent or not with myocardial injury based on recommendations, an interpretation of Δhs-cTnT adjusted for model A or B led to statistically significant but small diagnostic discrepancies (<2%), as compared to an interpretation based on Δhs-cTnT only. CONCLUSIONS: From a laboratory and statistical standpoint, considering renal function variations when interpreting relative changes in cardiac troponin T has a minor impact on the diagnosis rate of myocardial injury.
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Monneret et al. (2021) conducted an observational in Patients undergoing hs-cTnT and creatinine testing (n=106,567). Renal function variations (Δcre or ΔeGFR) was evaluated on Relative changes in hs-cTnT (Δhs-cTnT) and diagnostic discrepancies for myocardial injury. Variations in renal function were nonlinearly associated with relative changes in hs-cTnT, but adjusting for these variations led to <2% diagnostic discrepancies for myocardial injury.
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