ArticleClinical autonomic research : official journal of the Clinical Autonomic Research Society2025
Prediction evaluation of the Tp-Te interval in patients with vasovagal syncope.
Article in Clinical autonomic research : official journal of the Clinical Autonomic Research Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeVasovagal syncope (VVS) involves autonomic dysregulation affecting cardiac electrical activity. The Tp-Te interval, reflecting transmural repolarization dispersion, may help predict positive head-up tilt test (HUTT) responses in patients with suspected VVS.
methodsA total of 179 patients with suspected VVS were included in the study. A HUTT was performed in enrolled patients, which were divided into HUTT-negative and HUTT-positive groups, and the HUTT-positive group was further classified into three subgroups of "vasodepressor," "cardioinhibitory," and "mixed-type" responses to HUTT. QT interval, corrected QT (QTc) interval, and Tp-Te interval were measured by the baseline 12-lead surface electrocardiograph recorded before HUTT.
resultsThe QT interval, QTc interval, and Tp-Te interval in the HUTT-positive group were higher than those in the HUTT-negative group (P < 0.001). Tp-Te was higher in the cardioinhibitory and mixed-type subgroups than in the vasodepressor subgroup (P < 0.05). Receiver operating characteristic curve analysis showed that Tp-Te higher than 88 ms was a significant predictor of positive HUTT results (71.70% sensitivity and 75.90% specificity), with a predictive value significantly higher than QT and QTc (P < 0.05), and Tp-Te higher than 95 ms predicted cardioinhibitory and mixed-type response to HUTT (75% sensitivity, and 57.10% specificity).
conclusionBaseline myocardial TDR is associated with VVS and susceptibility to VVS. The baseline Tp-Te interval might be used as a novel noninvasive index for differentiating cardioinhibitory, mixed-type, and vasodepressor responses to HUTT and for predicting the occurrence of cardioinhibitory responses in VVS patients.
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