Objective To explore the value of axis shift between the baseline normal sinus rhythm (NSR) and WCT in diagnosis of wide QRS-complex tachycardia (WCT). Methods 390 surface ECGs of 186 patients with WCT were obtained from April 2012 to April 2018 at Ningbo Medical Center Lihuili Hospital at which the arrhythmia diagnosis was proven by intracardiac electrophysiological study. The axis shift between the baseline NSR and WCT was calculated by table lookup method. Then we analyzed the role of axis shift in diagnosis of WCT. Results Among the 186 patients with WCT, 147 (79.03％) were ventricular tachycardia (VT) , and 39 (20.97％) were supraventricual tachycardia (SVT) with conduction abnormalities. In the 95％ confidence interval, the axis shift showed an outstanding discrimination performance. The area under the ROC curve is 0.708 (0.579-0.817, P =0.007). Compared with left axis deviation, right axis deviation, the right axis deviation of LBBB morphology, the axis shift> 68 degree is more sensitive (53.06％) , and the specificity (91.43％) is also more desirable. Moreover, if the axis shift set> 130 degree, the specificity can reach 100％, and the sensitivity (12.24％) is equivalent to northwestern axis. Conclusion A significant axis shift between the baseline NRS and WCT can distinguish WCT accurately. Given the ease of grasping, it can probably be feasible to popularize as a routine diagnosis method for WCT in primary hospitals.

Objective:To analyze the clinical characteristics and predictive factors of SSc associated heart disease.Methods:The clinical data of patients with SSc from January 2016 to December 2021 in Ningbo Medical Center Lihuili Hospital were collected. Aight healthy controls come from the medicial examination center. They were divided into a positive group and a negative group based on whether heart involvement was present or not. The clinical manifestations of the two groups were compared by t test, Wilcoxon signed rank test and χ2 test and Logistic regression or ROC curve was used to analyze the prognostic risk of SSc associated heart disease. Then the transcriptome sequencing was used to analyze the differential gene expression. Results:①A total of 75 SSc patients were treated in our hospital, of which 6 patients with overlap syndrome and 1 patient with congenital heart disease were excluded. The clinical data of 68 patients were analyzed including 16 patients in the positive group and 52 patients in the negative group. Among the 16 patients with cardiac involvement, 12 patients (75.0%) had abnormal electrocardiogram, 9 patients (56.2%) with heart valve disease, 8 patients (50.0%) with abnormal cardiac structure and 8 patients (50.0%) with pericardial effusion. The biomarkers were elevated in 10 cases (83.3%). ②Univariate analysis showed that the positive group had a longer course of disease [120(11.2, 132) months vs 48(24, 90)months, Z=-2.08, P=0.037], and the rate of pulmonary arterial hypertension (50.0% vs 11.5%, χ2=11.07, P<0.001) and renal insufficiency(50.0% vs 3.8%, χ2=20.78, P<0.001) in the positive group were significantly higher than those in the negative group. Further Logistic regression analysis revealed that long course of disease [ OR (95% CI) =1.011 (1.001, 1.021), P=0.031], pulmonary arterial hypertension [ OR (95% CI) =5.431, 95% CI (1.065, 27.710), P=0.042] and renal insufficiency [ OR (95% CI) =30.444 (4.139, 223.938), P<0.001] were risk factors for SSc associated heart disease. ③Nail-fold videocapillaroscopy (NVC) was checked in 63 patients. The difference of abnormal NVC changes between the two groups was statistically significant (93.3% vs 58.3%, χ2=5.87, P=0.013). The total number of capillaries in the positive group was significantly less than that in the negative group [3.5(2, 4.8) vs 6 (5, 7), Z=-2.97, P=0.003]. Further ROC curve analysis showed that the total number of capillaries less than 4.5 predicted the occurrence of cardiac involvement (sensitivity was 80.0%, specificity was 83.8%), and the area under the ROC curve (95% CI) was 0.805 (0.061, 1.000, P=0.003).④The transcriptome of a total of 11 SSc patients (including 6 in the positive group and 5 in the negative group) and 8 healthy controls were analyzed to obtain the synchronously down regulated gene TNFRSF13B. The differences between the three groups were statistically significant ( χ2=11.88, P=0.003), especially in the positive group and the healthy controls( χ2=11.19, P=0.004). Conclusion:SSc patients with long course of disease accompanied by PAH and renal insufficiency are prone to have heart involvement. Early capillary endoscopy is also helpful to predict the risk of heart involvement. Moreover, TNFRSF13B genetic testing is helpful but further study is needed.