Background: Patients with congenital heart disease (CHD) and their parents need to have sufficient knowledge on their condition, treatment, medication, and preventive measures. The Leuven Knowledge Questionnaire for Congenital Heart Disease (LKQCHD) was developed to comprehensively measure the level of knowledge in patients with CHD. Aims: This study aimed to translate the LKQCHD into Chinese and to test its validity to be used in patients with CHD and their parents. Method: Questionnaire translation was guided by a three-step linguistic validation method. Evidence based on test content and on relation with other variables was obtained. For test content, we included five experts in CHD and research methods. Furthermore, the instrument was tested in 89 pairs of adolescents with CHD and their parents. Results: We found a high item-level content validity index (>0.78 in all except two items), high scale-level content validity index (>0.90), high free-marginal multirater Kappa (>0.75), and low average proportion of missing values (0.49% in adolescents; 0.51% in parents), showing an excellent content validity. The hypothesized positive correlations between parental knowledge and parental educational level and between patient’s knowledge and patient’s age, as well as the hypothesis that parents have more knowledge than their children, were confirmed. This provides validity evidence based on relation with other variables. Conclusions: The Chinese version of the LKQCHD is valid to assess the level of knowledge in patients with CHD and their parents.

Congenital heart disease (CGHD) can be considered a chronic disease for many patients. To adopt a healthy lifestyle and to avoid complications, patients with CGHD and their parents need to have good knowledge of the heart defect and its consequences. The aims of this study were to evaluate patient and parental knowledge of CGHD and to explore the related factors of their respective disease knowledge. This study included 116 dyads of adolescents with CGHD (43.1% male adolescents; aged 12-18 years) and one of their parents (79.3% mothers; median age, 46 years). All participants completed the Leuven Knowledge Questionnaire for Congenital Heart Disease, and then we calculated a correct rate score to determine the overall disease knowledge of the respondents. The correct rate score was 38.8% for adolescents with CGHD and 51.4% for parents (t = 7.69; P < .001). The only determinant of knowledge in parents was their educational level (standardized estimate = 6.160, P < .001). In adolescents, knowledge was determined by age (standardized estimate = 2.242, P = .002) and parental knowledge (standardized estimate = 0.311, P < .001). Although parents have significantly greater disease knowledge than their children do, the level of knowledge in both parents and adolescents is suboptimal. Because parents' knowledge influenced their adolescents' knowledge, educational interventions should target both adolescent patients and parents. Transition programs can play a pivotal role in this respect.

Background: Heart failure (HF) is the leading cause of mortality and associated with significant morbidity in adults with congenital heart disease. We sought to assess the association between HF and patient‐report outcomes in adults with congenital heart disease. Methods and Results: As part of the APPROACH‐IS (Assessment of Patterns of Patient‐Reported Outcomes in Adults with Congenital Heart disease—International Study), we collected data on HF status and patient‐reported outcomes in 3959 patients from 15 countries across 5 continents. Patient‐report outcomes were: perceived health status (12‐item Short Form Health Survey), quality of life (Linear Analogue Scale and Satisfaction with Life Scale), sense of coherence‐13, psychological distress (Hospital Anxiety and Depression Scale), and illness perception (Brief Illness Perception Questionnaire). In this sample, 137 (3.5%) had HF at the time of investigation, 298 (7.5%) had a history of HF, and 3524 (89.0%) had no current or past episode of HF. Patients with current or past HF were older and had a higher prevalence of complex congenital heart disease, arrhythmias, implantable cardioverter‐defibrillators, other clinical comorbidities, and mood disorders than those who never had HF. Patients with HF had worse physical functioning, mental functioning, quality of life, satisfaction with life, sense of coherence, depressive symptoms, and illness perception scores. Magnitudes of differences were large for physical functioning and illness perception and moderate for mental functioning, quality of life, and depressive symptoms. Conclusions: HF in adults with congenital heart disease is associated with poorer patient‐reported outcomes, with large effect sizes for physical functioning and illness perception. Registration: URL: https://clinicaltrials.gov ; Unique identifier: NCT02150603.

Hypertensive disorders in pregnancy (HDP) are devastating health hazards for both women and children. Both methylenetetrahydrofolate reductase (MTHFR) gene polymorphisms and air pollution can affect health status and result in increased risk of HDP for women. The major objective of this study was to investigate the effect of MTHFR polymorphisms, air pollution, and their interaction on the risk of HDP by using meta-predictive analytics. We searched various databases comprehensively to access all available studies conducted for various ethnic populations from countries worldwide, from 1997 to 2017. Seventy-one studies with 8064 cases and 13,232 controls for MTHFR C677T and 11 studies with 1425 cases and 1859 controls for MTHFR A1298C were included. MTHFR C677T homozygous TT (risk ratio (RR) = 1.28, p < 0.0001) and CT plus TT (RR = 1.07, p = 0.0002) were the risk genotypes, while wild-type CC played a protective role (RR = 0.94, p = 0.0017) for HDP. The meta-predictive analysis found that the percentage of MTHFR C677T TT plus CT (p = 0.044) and CT (p = 0.043) genotypes in the HDP case group were significantly increased with elevated levels of air pollution worldwide. Additionally, in countries with higher air pollution levels, the pregnant women with wild-type CC MTHFR 677 had a protection effect against HDP (p = 0.014), whereas, the homozygous TT of MTHFR C677T polymorphism was a risk genotype for developing HDP. Air pollution level is an environmental factor interacting with increased MTHFR C677T polymorphisms, impacting the susceptibility of HDP for women.

In preparation for personalized nutrition, an accurate assessment of dietary intakes on key essential nutrients using smartphones can help promote health and reduce health risks across vulnerable populations. We, therefore, validated the accuracy of a mobile application (app) against Food Frequency Questionnaire (FFQ) using artificial intelligence (AI) machine-learning-based analytics, assessing key macro- and micro-nutrients across various modern diets. We first used Bland and Altman analysis to identify and visualize the differences between the two measures. We then applied AI-based analytics to enhance prediction accuracy, including generalized regression to identify factors that contributed to the differences between the two measures. The mobile app underestimated most macro- and micro-nutrients compared to FFQ (ranges: −5% for total calories, −19% for cobalamin, −33% for vitamin E). The average correlations between the two measures were 0.87 for macro-nutrients and 0.84 for micro-nutrients. Factors that contributed to the differences between the two measures using total calories as an example, included caloric range (1000–2000 versus others), carbohydrate, and protein; for cobalamin, included caloric range, protein, and Chinese diet. Future studies are needed to validate actual intakes and reporting of various diets, and to examine the accuracy of mobile App. Thus, a mobile app can be used to support personalized nutrition in the mHealth era, considering adjustments with sources that could contribute to the inaccurate estimates of nutrients.