Nonauscultatory clinical criteria are sensitive for cardiac pathology in low-risk paediatric heart murmurs.

BACKGROUND: Healthy children with likely innocent heart murmurs are frequently referred to cardiologists for reassurance. Existing guidelines that advise against these referrals are not consistently followed partly because they involve subjective auscultatory judgements with which many care providers are uncomfortable. Here, we investigate whether clinical criteria with no subjective auscultatory component are sensitive for cardiac pathology. METHODS: A retrospective chart review was performed of all new patients seen in our paediatric cardiology clinic for assessment of a murmur from January 1, 2016 through June 30, 2018. Patients were characterized as "low-risk" if they met all of the following criteria: asymptomatic; normal physical examination other than the murmur; no risk factors for congenital heart disease; and age over 12 months. The primary outcomes were the sensitivity for ruling out pathology and the negative predictive value of the proposed criteria. RESULTS: Of 915 total patients, 214 met the low-risk criteria. The sensitivity of our criteria for ruling out pathology was 97.2% (95% confidence interval 94.1% to 99.0%) and the negative predictive value was also 97.2% (95% confidence interval 94.0% to 98.7%). Six of the 214 low-risk patients had pathology (2.8%; 95% confidence interval 1.3% to 6.0%), none of which has required intervention since diagnosis. Each of these six children had a murmur that sounded pathological to the auscultating cardiologist. CONCLUSIONS: Basic clinical criteria that do not require auscultation are highly sensitive for ruling out significant cardiac pathology in children over 12 months of age.

Alternative to Body Surface Area as a Solution to Correct Systematic Bias in Pediatric Echocardiography z Scores.

BACKGROUND: Z scores are the method of choice to report dimensions in pediatric echocardiography. Z scores based on body surface area (BSA) have been shown to cause systematic biases in overweight and obese children. Using aortic valve (AoV) diameters as a paradigm, the aims of this study were to assess the magnitude of z score underestimation in children with increased body mass index z score (BMI-z) and to determine if a predicting model with height and weight as independent predictors would minimise this bias. METHODS: In this multicentre, retrospective, cross-sectional study, 15,006 normal echocardiograms in healthy children 1-18 years old were analyzed. Residual associations with body size were assessed for previously published z score. BSA-based and alternate prediction models based on height and weight were developed and validated in separate training and validation samples. RESULTS: Existing BSA-based z scores incompletely adjusted for weight, BSA, and BMI-z and led to an underestimation of > 0.8 z score units in subjects with higher BMI-z compared with lean subjects. BSA-based models led to overestimation of predicted AoV diameters with increasing weight or BMI-z. Models using height and weight as independent predictors improved adjustment with body size, including in children with higher BMI-z. CONCLUSIONS: BSA-based models result in underestimation of z scores in patients with high BMI-z. Prediction models using height and weight as independent predictors minimise residual associations with body size and generate well fitted predicted values that could apply to all children, including those with low or high BMI-z.

Identification and Evaluation of Controlled Trials in Pediatric Cardiology: Crowdsourced Scoping Review and Creation of Accessible Searchable Database.

Cardiac disease in children is associated with significant morbidity and mortality as well as increased health resource utilisation. There is a perception that there is a paucity of high-quality studies, particularly randomized controlled trials (RCTs), in the field of pediatric cardiology. We sought to identify, examine, and map the range of RCTs conducted in children with cardiac conditions, including the development of a searchable open-access database. A literature search was conducted encompassing MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials from inception to 2018. All English-language RCTs enrolling children (age 0-21 years) with cardiac conditions were included. Data extraction and risk of bias assessments were performed in duplicate via crowdsourcing for each eligible study and entered into an online database. A total of 933 RCTs met eligibility criteria. Median trial recruitment was 49 patients (interquartile range 30-86) with 18.9% of studies (n = 176) including > 100 patients. A wide variety of populations and interventions were encompassed with congenital heart disease (79.8% of RCTs) and medications (63.3% of RCTs) often studied. Just over one-half of the trials (53.4%) clearly identified a primary outcome, and fewer than half (46.6%) fully documented a robust randomization process. Trials were summarised in a searchable online database (https://pediatrics.knack.com/cardiology-rct-database#cardiology-rcts/). Contrary to a commonly held perception, there are nearly 1,000 published RCTs in pediatric cardiology. The open-access database created as part of this project provides a resource that facilitates an efficient comprehensive review of the literature for clinicians and researchers caring for children with cardiac issues.

Isolated Left Brachiocephalic Artery in Transposition of the Great Arteries.

Isolation of an artery is a rare congenital defect in which a vessel arises anomalously from the pulmonary arteries rather than the aorta. Isolated left subclavian artery and (less commonly) isolated left brachiocephalic artery have been described in association with various complex congenital heart defects. We present a very unusual case of isolated left brachiocephalic artery associated with transposition of the great arteries. The case suggests that this defect arises from pathological involution of embryologic aortic arches rather than from malseptation.