Additional file 1 of A deep learning approach identifies new ECG features in congenital long QT syndrome
Creators: name: Aufiero, Simona
name: Bleijendaal, Hidde
name: Robyns, Tomas
name: Vandenberk, Bert
name: Krijger, Christian
name: Bezzina, Connie
name: Zwinderman, Aeilko H.
name: Wilde, Arthur A. M.
name: Pinto, Yigal M.
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Marine Biology
subject: Cancer

description: Additional file 1: Table S1. Demographics of the study cohort - Amsterdam data. Table S2. Distribution of different types of genetic variants for LQTS 1, 2 and 3 – Amsterdam data. Table S3. Prevalence of specific genetic variants for LQTS 1, 2 and 3 - Amsterdam data. Table S4. Single Lead First ECG model performances for LQTS1 - Amsterdam data. The mean of the collected metrics and the corresponding standard deviation (SD) of the 5-fold cross-validation is reported. The DL models were trained using single leads of the first acquired ECG of control and LQTS1 patients. Table S5. Single Lead First ECG model performances for LQTS2 - Amsterdam data. The mean of the collected metrics and the corresponding standard deviation (SD) of the 5-fold cross-validation is reported. The DL models were trained using single leads of the first acquired ECG of control and LQTS2 patients. Table S6. Single Lead First ECG model performances for LQTS3 - Amsterdam data. The mean of the collected metrics and the corresponding standard deviation (SD) of the 5-fold cross-validation is reported. The DL models were trained using single leads of the first acquired ECG of control and LQTS3 patients. Table S7. Model performances for LQTS 1, 2, and 3 - Amsterdam data. The performance of the DL models for patients whose QTc is within the 10th-90th percentile of the overlapping QTc region is reported. The QTc ranges analyzed are 398-475 ms, 403-477 ms, and 403-475 ms for LQTS 1, 2, and 3, respectively. The automatically measured QTc was used (thresholds used to define prolonged QTc: ≥ 450 ms for males, QTc ≥ 460 ms for females). The mean of the collected metrics and the corresponding standard deviation (SD) of the 5-fold cross-validation is reported. First ECG approach: the DL models were trained using the first acquired 12-lead ECGs. All ECG approach: the DL models were trained using all acquired 12-lead ECGs (not only the first acquired) per patient. Table S8. Demographics of the study cohort (Leuven data). Table S9. Distribution of different types of genetic variants for LQTS 1 and 2 – Leuven data. Table S10. Prevalence of specific genetic variants for LQTS 1 and 2 - Leuven data. Fig. S1. 1DCNN architecture. Schematic representation of the proposed 1DCNN architecture. The model was trained using 12-lead ECGs or single lead. The number 12 in the second column represents the 12-lead ECGs, while the number 1 in the bracket represents the use of the single lead. All 12 leads individually were used. Fig. S2. ECG distribution. Bar plots showing the number of ECGs for LQTS 1, 2, and 3 patients used in the ALL ECG approach. Fig. S3. Probability score distribution of control and LQTS patients. Box plots showing the probability score distribution for A) LQTS1, B) LQTS2, and C) LQTS3 and control patients obtained from the DL models trained on the first acquired 12-lead ECGs. The red dotted line represents the threshold used for the ECG classification. Fig. S4. Probability score distribution of control and LQTS patients. Box plots showing the probability score distribution of A) LQTS1, B) LQTS2, and C) LQTS3 and control patients obtained from the DL models trained on all acquired 12-lead ECGs. The red dotted line represents the threshold used for the ECG classification. Fig. S5. QTc value distribution (Amsterdam data). Top: QTc value distributions of LQTS versus control patients. Bottom: table showing the mean, the lower, and the upper limit of the above QTc value distributions. The automatically measured QTc was used (thresholds used to define prolonged QTc: ≥ 450 ms for males, QTc ≥ 460 ms for females).