Impact of statin use on high sensitive troponin T levels with moderate exercise

ÜNLÜ S. , Nurkoc S. G. , Sezenoz B., Cingirt M., GÜLBAHAR Ö. , ABACI A.

ACTA CARDIOLOGICA, cilt.74, sa.5, ss.380-385, 2019 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 74 Konu: 5
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/00015385.2018.1510801
  • Sayfa Sayıları: ss.380-385


Background: High-sensitive cardiac troponin (hsTn) levels can be elevated due to non-pathological events such as strenuous exercise. However, the effect of statins on circulating hsTnT levels with moderate exercise is uncertain. Therefore, we evaluated the impact of statins on hsTnT level with moderate exercise. Methods: We enrolled a total of 56 patients: 26 statin users and 30 non-users. All patients were shown to have no coronary artery disease before participating in the study. Participants performed a fixed-protocol moderate level exercise. HsTnT levels were measured before and 4 h after the exercise. Participants were also grouped based on their hsTnT levels, as proposed in the recent European Society of Cardiology guideline (0-1 hour algorithm) for acute coronary syndromes without persistent ST-segment elevation. Results: Statin users showed a significant increase in serum hsTnT levels with moderate exercise (p = .004), whereas the control group showed a modest increase without statistical significance (p = .664). The percentage of patients whose hsTnT levels exceeded the rule-out limits for non-ST-segment myocardial infarction diagnosis (according to the 0-1 algorithm) after moderate exercise varied significantly between groups (p = .024). Conclusions: Statin therapy can cause a significant increase in hsTnT levels after moderate exercise. This increase can jeopardise the accuracy of clinical diagnoses based on the newly implemented algorithms. The awareness of these adverse effects of statins, mainly used by patients with high risk of coronary events, can prevent misdiagnosis or unnecessary hospitalisations.