Predictive value of P-wave and QT interval dispersion in children with congenital heart disease and pulmonary arterial hypertension for the occurrence of arrhythmias

Saleh, Asmaa; Shabana, Ahmed Hamdy; Amrousy, Doaa El; Zoair, Amr

doi:10.1016/j.jsha.2018.11.006

Cited by 10 publications

(9 citation statements)

References 19 publications

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“…A study by Saleh et al regarding this relationship showed that QTd had 93% sensitivity, 80% specificity, and 85% accuracy in predicting the occurrence of arrhythmias in patients with PAH‐CHD ( p = .003 and p = .01, respectively). The relationship was independent of patients’ age, sex, and weight (Saleh et al, 2019 ). Also, QTd was more prolonged in patients with PAH (Saleh et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of QT dispersion before and after PDA device closure in pediatrics

Khalilian

Ziaratban

Alizadeh

et al. 2022

Noninvasive Electrocardiol

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For the first time, Mirvis noticed a significant irregularity of the QT intervals in patients with acute myocarditis compared to the healthy population (Mirvis, 1985). Later, in 1990, Day et al. proposed a potential application of this inter-lead difference using standard 12-lead electrocardiograms (ECGs) (Day et al., 1990). Since then, numerous studies have investigated the differences between QT max and min in different ECG leads, entitled QT dispersion (QTd) (Day et al., 1990).Several studies have shown an association between death from a cardiac cause and QTd (Barr et al., 1994;Bazoukis et al., 2020;Naas et al., 1998). It should be noted that some findings have challenged this association. For example, QTd may decrease as a result of drug

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Section: Introductionmentioning

confidence: 99%

“…The relationship was independent of patients’ age, sex, and weight (Saleh et al, 2019 ). Also, QTd was more prolonged in patients with PAH (Saleh et al, 2019 ). In a study by Ece et al in 2014, QTd was higher in patients with Eisenmenger syndrome ( p < .001) (Brendorp et al, 2001 ).…”

Section: Introductionmentioning

confidence: 99%

Comparison of QT dispersion before and after PDA device closure in pediatrics

Khalilian

Ziaratban

Alizadeh

et al. 2022

Noninvasive Electrocardiol

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“…4 Furthermore, these complications often result in unscheduled hospital visits or even emergency admissions. 3,[5][6][7] Although visits to the outpatient clinic are frequent, it remains difficult to predict and prevent clinical deterioration.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Patients with Congenital Heart Disease: Where Do We Stand?

Pool¹,

Kauw

Bleijendaal³

et al. 2021

EMJ Cardiol

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Life expectancy of patients with congenital heart disease (CHD) has increased in recent decades; however, late complications remain frequent and difficult to predict. Progress in data science has spurred the development of decision support systems and could aid physicians in predicting clinical deterioration and in the management of CHD patients. Newly developed artificial intelligence (AI) algorithms have shown performances comparable to humans in clinical diagnostics using statistical and computational algorithms and are expected to partly surpass human intelligence in the near future. Although much research on AI has been performed in patients with acquired heart disease, little data is available with respect to research on AI in patients with CHD. Learning algorithms in patients with CHD have shown to be promising in the interpretation of ECG, cardiac imaging, and the prediction of surgical outcome. However, current learning algorithms are not accurate enough to be implemented into daily clinical practice. Data on AI possibilities remain scarce in patients with CHD, and studies on large data sets are warranted to increase sensitivity, specificity, accuracy, and clinical relevance of these algorithms.

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“…Pulmonary hypertension (PH) is a serious complication of congenital heart disease (CHD) and early diagnosis and management is vital to improve the outcome in these children [1,2]. Several biomarkers were used for diagnosis and risk stratification of pulmonary hypertension associated with congenital heart disease (PH-CHD) such as B type natriuretic peptide and amino-terminal pro-B-type natriuretic peptides (NT proBNP) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Plasma Growth Differentiation Factor-15 in Children with Pulmonary Hypertension Associated with Congenital Heart Disease

Zoair¹,

Amrousy²,

Zahran³

et al. 2020

CDM

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Objectives: We aimed to investigate the levels and diagnostic value of plasma growth differentiation factor15 (GDF-15) in children with pulmonary hypertension associated with congenital heart disease (PH-CHD). Methods: One hundred infants and children with CHD were included in the study; 50 of them with PHCHD and another 50 patients with CHD only. Fifty healthy infants and children of matched age and sex were included as a control group. GDF-15 levels as well as echocardiographic examination were done for all included subjects. Cardiac catheterization was performed for patients only. Results: GDF-15 levels were significantly higher in patients with PH-CHD (0.62±0.2) nmol/ml compared to those with CHD only patients (0.21±0.06) nmol/ml and to control group (0.13±0.02) nmol/ml with P<0.001. GDF-15 levels were significantly elevated according to the severity of PH; (0.4±0.1) nmol/ml in mild PH vs (0.7±0.3) nmol/ml in moderate PH vs (1.1±0.1) nmol/ml in severe PH. At a cutoff value of ≥ 0.313 nmol/ml, the sensitivity of GDF-15 as a diagnostic biomarker in PH-CHD children was 95%, the specificity was 100%, positive predictive value (PPV) was 100%, and negative predictive value (NPV) was 95.2 %. Conclusion: GDF-15 is elevated in infants and children with PH-CHD and can be a promising diagnostic biomarker in these patients.

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Predictive value of P-wave and QT interval dispersion in children with congenital heart disease and pulmonary arterial hypertension for the occurrence of arrhythmias

Cited by 10 publications

References 19 publications

Comparison of QT dispersion before and after PDA device closure in pediatrics

Comparison of QT dispersion before and after PDA device closure in pediatrics

Artificial Intelligence in Patients with Congenital Heart Disease: Where Do We Stand?

Plasma Growth Differentiation Factor-15 in Children with Pulmonary Hypertension Associated with Congenital Heart Disease

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