title: T-wave amplitude is related to physical fitness status.
abstract: BACKGROUND
  Abnormalities in repolarization may reflect underlying myocardial pathology and play a prominent role in arrhythmogenesis The T-wave amplitude has been associated with cardiovascular outcome in patients with acute myocardial infarction (MI) Additionally, T-wave amplitude is considered a predictor of arrhythmias, as well as being related to an individual's inflammatory status. The combined influence of different variables, such as inflammation, cardiovascular risk factors and physical fitness status, on the T-wave amplitude has not been evaluated to date. The aim of this study was to identify factors that affect the T-wave amplitude.
  
  
  METHODS
  Data from 255 consecutive apparently healthy individuals included in the Tel Aviv Medical Center Inflammation Survey (TAMCIS) were reviewed. All patients had undergone a physical examination and an exercise stress test, and different inflammatory and metabolic biomarkers (fibrinogen, potassium, and high-sensitivity C-reactive protein) were measured.
  
  
  RESULTS
  Multivariate stepwise analysis revealed that the body mass index and the resting heart rate were significantly associated with the T-wave amplitude (β=-0.34, P < 0.001; β=-0.19, P = 0.03, respectively) in males, while the recovery rate and the usage of statins significantly affected the T-wave amplitude in females (β= 0.36, P = 0.002; β= 0.35, P = 0.002, respectively). Inflammatory variables had no significant affect on the T-wave amplitude of either gender.
  
  
  CONCLUSIONS
  In conclusion, the T-wave amplitude is linked to an individual's physical fitness and not to his/her inflammatory status.
authors: Cardiology Internal Medicine D and E, Tel Aviv Sourasky Medical Center, affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. yaronarbel@gmail.com
authors: Yaron
authors: Y
authors: Arbel
authors: Edo Y
authors: EY
authors: Birati
authors: Itzhak
authors: I
authors: Shapira
authors: Yan
authors: Y
authors: Topilsky
authors: Michal
authors: M
authors: Wirguin
authors: Jonathan
authors: J
authors: Canaani M D
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D015415:Biomarkers / Q000032:analysis; D001774:Blood Chemical Analysis; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism; D002318:Cardiovascular Diseases / Q000175:diagnosis; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D015331:Cohort Studies; D004562:Electrocardiography; D005080:Exercise Test / Q000379:methods*; D005260:Female; D005340:Fibrinogen / Q000378:metabolism; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D007557:Israel; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010808:Physical Examination / Q000379:methods; D010809:Physical Fitness / Q000502:physiology*; D011237:Predictive Value of Tests; D012016:Reference Values; D018570:Risk Assessment; D012737:Sex Factors; D055815:Young Adult
chemical_list: D015415:Biomarkers; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D005340:Fibrinogen; D002097:C-Reactive Protein