M D Miller1, M J Ackerman. 1. Mayo Medical School, Division of Pediatric Cardiology, Mayo Eugenio Litta Children's Hospital, Mayo Clinic and Mayo Foundation, Rochester, Minnesota, USA.
Abstract
OBJECTIVE: Inherited long QT syndrome (LQTS) may present with syncope, seizures, and/or sudden death as a result of ventricular tachyarrhythmias. Identification of family members who are at risk because they harbor the genetic substrate for LQTS is critical. Presently, such identification relies on the 12-lead electrocardiogram (ECG). The purpose of this study was to evaluate the efficacy of the automated ECG as a screening tool for LQTS. METHOD: Molecular testing of a proband and 22 additional family members for the KVLQT1 mutation and symptomatic status facilitated the classification of each family member into the following patient groups: noncarriers (13), asymptomatic carriers (5), and symptomatic carriers (5). Each individual had a standard 12-lead ECG from which the computer and manual (lead II) corrected QT interval were determined. In addition, we determined the accuracy of the computer ECG diagnostic interpretation for each patient group. RESULTS: With the use of a corrected QT interval of >/=460 ms as a diagnostic cutoff, the positive and negative predictive values for identifying at-risk individuals were 100%. Despite this, the computer-generated ECG diagnostic interpretation erroneously classified 6 of 23 family members. Moreover, half of the family members, proved to have the ion channel defect, received the diagnostic interpretation "normal ECG." CONCLUSION: Reliance on the computer-generated ECG diagnostic interpretation alone will fail to identify many at-risk family members. It is suggested that all first-degree relatives of an identified LQTS proband have a 12-lead ECG that is reviewed independently by a physician who is familiar with LQTS in an effort to improve screening for this potentially lethal syndrome.electrocardiogram, long QT syndrome, QT interval, sudden death.
OBJECTIVE:Inherited long QT syndrome (LQTS) may present with syncope, seizures, and/or sudden death as a result of ventricular tachyarrhythmias. Identification of family members who are at risk because they harbor the genetic substrate for LQTS is critical. Presently, such identification relies on the 12-lead electrocardiogram (ECG). The purpose of this study was to evaluate the efficacy of the automated ECG as a screening tool for LQTS. METHOD: Molecular testing of a proband and 22 additional family members for the KVLQT1 mutation and symptomatic status facilitated the classification of each family member into the following patient groups: noncarriers (13), asymptomatic carriers (5), and symptomatic carriers (5). Each individual had a standard 12-lead ECG from which the computer and manual (lead II) corrected QT interval were determined. In addition, we determined the accuracy of the computer ECG diagnostic interpretation for each patient group. RESULTS: With the use of a corrected QT interval of >/=460 ms as a diagnostic cutoff, the positive and negative predictive values for identifying at-risk individuals were 100%. Despite this, the computer-generated ECG diagnostic interpretation erroneously classified 6 of 23 family members. Moreover, half of the family members, proved to have the ion channel defect, received the diagnostic interpretation "normal ECG." CONCLUSION: Reliance on the computer-generated ECG diagnostic interpretation alone will fail to identify many at-risk family members. It is suggested that all first-degree relatives of an identified LQTS proband have a 12-lead ECG that is reviewed independently by a physician who is familiar with LQTS in an effort to improve screening for this potentially lethal syndrome.electrocardiogram, long QT syndrome, QT interval, sudden death.
Authors: Angie Mae Rodday; John K Triedman; Mark E Alexander; Joshua T Cohen; Stanley Ip; Jane W Newburger; Susan K Parsons; Thomas A Trikalinos; John B Wong; Laurel K Leslie Journal: Pediatrics Date: 2012-03-05 Impact factor: 7.124
Authors: Julius Cuong Pham; Michael C Banks; David L Narotsky; Todd Dorman; Bradford D Winters Journal: J Clin Monit Comput Date: 2015-07-14 Impact factor: 2.502