Couderc Jean-Philippe, McNitt Scott, Xia Jean, Zareba Wojciech, Moss Arthur J
Heart Research Follow-up Program, University of Rochester Medical Center, Rochester, New York.
Heart Rhythm. 2006 Dec;3(12):1460-6. doi: 10.1016/j.hrthm.2006.08.009. Epub 2006 Aug 10.
At least 50% of LQT2 carriers have borderline QTc (0.42-0.47 s), and they present a diagnostic difficulty to clinicians evaluating patients suspected of having long QT syndrome (LQTS).
Because QTc in this borderline range is nondiagnostic, the purpose of this study was to investigate whether analysis of phenotypic features of T-wave morphology could help identify LQT2 carriers with normal or near-normal QTc-interval duration.
Standard 12-lead ECGs recorded without beta-blockers from LQT2 carriers (n = 90, 33 +/- 14 years, 61% female) and noncarriers (n = 69, 38 +/- 17 years, 58% female) were digitized. The following parameters were automatically measured: RR interval, QT/QTc, QT apex, T-wave amplitude, ascending (alpha(L)) and descending slopes (alpha(R)) of the T wave, and T-wave symmetry. We used a linear logistic regression model to identify the most relevant parameters for separating LQT2 carriers from noncarriers, within the overall population and among patients without overt QTc prolongation (390 </= QTc </= 470).
Logistic regression selected three parameters: QT, RR interval, and alpha(L) in all models. In the overall population, the model provided 92.7% sensitivity and 90.0% specificity. In the group of patients without beta-blockers and near-normal QTc interval, 92.0% sensitivity (n = 46) and 81.4% specificity (n = 49) were achieved by the model including alpha(L.)
Abnormal T-wave morphology is a phenotypic expression of LQT2, and its quantification could be used to identify patients with suspected LQTS who do not have overt QTc prolongation (QTc >470).
至少50%的LQT2携带者的QTc处于临界范围(0.42 - 0.47秒),这给评估疑似长QT综合征(LQTS)患者的临床医生带来了诊断难题。
由于处于此临界范围的QTc无法用于诊断,本研究旨在调查T波形态的表型特征分析是否有助于识别QTc间期正常或接近正常的LQT2携带者。
对未使用β受体阻滞剂记录的LQT2携带者(n = 90,年龄33 ± 14岁,61%为女性)和非携带者(n = 69,年龄38 ± 17岁,58%为女性)的标准12导联心电图进行数字化处理。自动测量以下参数:RR间期、QT/QTc、QT顶点、T波振幅、T波上升斜率(α(L))和下降斜率(α(R))以及T波对称性。我们使用线性逻辑回归模型来确定在总体人群以及无明显QTc延长(390 ≤ QTc ≤ 470)的患者中区分LQT2携带者与非携带者的最相关参数。
逻辑回归在所有模型中选择了三个参数:QT、RR间期和α(L)。在总体人群中,该模型的敏感性为92.7%,特异性为90.0%。在未使用β受体阻滞剂且QTc间期接近正常的患者组中,包含α(L)的模型敏感性为92.0%(n = 46),特异性为81.4%(n = 49)。
异常T波形态是LQT2的一种表型表达,其量化可用于识别无明显QTc延长(QTc > 470)的疑似LQTS患者。