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(EKG: short QT)
621 results
  • Cardiac autonomic neuropathy: Risk factors, diagnosis and treatment. [Review]
  • WJWorld J Diabetes 2018 Jan 15; 9(1):1-24
  • Serhiyenko VA, Serhiyenko AA
  • Cardiac autonomic neuropathy (CAN) is a serious complication of diabetes mellitus (DM) that is strongly associated with approximately five-fold increased risk of cardiovascular mortality. CAN manifes...
  • Hydroquinidine Prevents Life-Threatening Arrhythmic Events in Patients With Short QT Syndrome. [Journal Article]
  • JACCJ Am Coll Cardiol 2017 Dec 19; 70(24):3010-3015
  • Mazzanti A, Maragna R, … Priori SG
  • CONCLUSIONS: We demonstrated for the first time that treatment with HQ was associated with a lower incidence of LAE in SQTS patients. These data point to the importance that quinidine, that in several countries has been removed from the market, remains available worldwide for patients with SQTS. In the present study, therapy with HQ has been proven to be safe, with a relatively low rate of side effects.
  • Shortening of the Short Refractory Periods in Short QT Syndrome. [Journal Article]
  • JAJ Am Heart Assoc 2017 May 31; 6(6)
  • Rollin A, Gandjbakhch E, … Maury P
  • CONCLUSIONS: Patients with SQTS have shorter ventricular RP than controls, both at baseline during various cycle lengths and after premature extrastimuli. A cut-off value of 200 ms at the right ventricular outflow tract during 600- and 500-ms basic cycle length may help in detecting true SQTS from normal subjects with borderline QT values.
  • Validation of automatic measurement of QT interval variability. [Journal Article]
  • PlosPLoS One 2017; 12(4):e0175087
  • Rijnbeek PR, van den Berg ME, … Kors JA
  • CONCLUSIONS: Artificially constructed ECGs with a variety of disturbances allow validation of QTV measurement procedures. The FSA algorithm provides highly accurate STV estimates under varying signal conditions, and performs much better than traditional beat-by-beat analysis. The fully automatic operation of the FSA algorithm enables STV measurement in large sets of ECGs.
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