Pediatric heart failure with preserved ejection fraction, a review.

Diastolic dysfunction refers to a structural or functional abnormality of the left ventricle, resulting in impaired filling of the heart. Severe diastolic dysfunction can lead to congestive heart failure even when the left ventricle systolic function is normal. Heart failure with preserved ejection fraction (HFpEF) accounts for nearly half of the hospitalizations for acute heart failure in the adult population but the clinical recognition and understanding of HFpEF in children is poor. The condition is certainly much less frequent than in the adult population but the confirmatory diagnosis of diastolic dysfunction in children is also challenging. The underlying causes of HFpEF in children are diverse and differ from the main cause in adults. This review addresses the underlying causes and prognostic factors of HFpEF in children. We describe the pulmonary hypertension profiles associated with this cardiac condition. We discuss diagnosis difficulties in clinical practice, and we provide a simplified diagnostic algorithm for HFpEF in children.

The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials.

In medical research, the traditional way to collect data, i.e. browsing patient files, has been proven to induce bias, errors, human labor and costs. We propose a semi-automated system able to extract every type of data, including notes. The Smart Data Extractor pre-populates clinic research forms by following rules. We performed a cross-testing experiment to compare semi-automated to manual data collection. 20 target items had to be collected for 79 patients. The average time to complete one form was 6'81" for manual data collection and 3'22" with the Smart Data Extractor. There were also more mistakes during manual data collection (163 for the whole cohort) than with the Smart Data Extractor (46 for the whole cohort). We present an easy to use, understandable and agile solution to fill out clinical research forms. It reduces human effort and provides higher quality data, avoiding data re-entry and fatigue induced errors.

Fuzzy Matching for Symptom Detection in Tweets: Application to Covid-19 During the First Wave of the Pandemic in France.

The exhaustive automatic detection of symptoms in social media posts is made difficult by the presence of colloquial expressions, misspellings and inflected forms of words. The detection of self-reported symptoms is of major importance for emergent diseases like the Covid-19. In this study, we aimed to (1) develop an algorithm based on fuzzy matching to detect symptoms in tweets, (2) establish a comprehensive list of Covid-19-related symptoms and (3) evaluate the fuzzy matching for Covid-19-related symptom detection in French tweets. The Covid-19-related symptom list was built based on the aggregation of different data sources. French Covid-19-related tweets were automatically extracted using a dedicated data broker during the first wave of the pandemic in France. The fuzzy matching parameters were finetuned using all symptoms from MedDRA and then evaluated on a subset of 5000 Covid-19-related tweets in French for the detection of symptoms from our Covid-19-related list. The fuzzy matching improved the detection by the addition of 42% more correct matches with an 81% precision.

Dilatation of the aorta in children with advanced chronic kidney disease.

BACKGROUND: The peculiarity of the cardiovascular risk profile with increased arterial vulnerability is well known in adults with chronic kidney disease (CKD). It is explained by an increased incidence of traditional cardiovascular risk factors together with other comorbidities related to the uremic condition and cardiorenal syndrome (CRS). The present study aimed to determine the cardiovascular impact of the uremic condition in a pediatric population with advanced CKD. METHODS: From 2016 to 2018, 39 consecutive patients with advanced CKD who underwent echocardiographic evaluation were included. All echocardiographic examinations were performed by the same operator (FE). Demographic, clinical, biological, and echocardiographic data were collected. RESULTS: The mean age at echocardiographic exam was 9.7 ± 4.6 years. Twenty-four (61.5%) patients were on hemodialysis; 17 (43.6%) patients were in a peritoneal dialysis program of whom 11 switched at a later stage to hemodialysis. Eight (20.5%) patients had an arteriovenous fistula (AVF). Hypertension was present in 30 (76.9%) patients while left ventricular hypertrophy (LVH) was described in 13 (33.3%) patients. Dilatation of the ascending aorta (Z-score > 2) was found in 15 (38.4%) patients and was statistically (in univariate analysis) related to gender, hypertension, the presence of an AVF, and the use of hemodialysis after peritoneal dialysis (p = 0.024, p = 0.016, p = 0.006, p = 0.009, respectively). CONCLUSION: In addition to classical and predictable abnormalities related to CKD, we found a high prevalence of dilatation of the ascending aorta in children with advanced CKD. Hypertension, AVF, and hemodialysis were associated factors.

Persistent Aortic Arch Hypoplasia After Coarctation Treatment Is Associated With Late Systemic Hypertension.

BACKGROUND: Mild transverse aortic arch (TAA) hypoplasia is common after coarctation treatment, but is considered benign in the absence of an arm-leg systolic blood pressure (SBP) difference. Hypertension (HTN) is a common long-term morbidity after successful coarctation treatment. We examined whether mild TAA hypoplasia after coarctation treatment is associated with late systemic HTN. METHODS AND RESULTS: We retrospectively reviewed 92 patients (median age, 19.9 years; range, 4.9 to 57.8; 60% male) 14.1±10.3 years after successful coarctation treatment (surgery in 63, stent in 16, and balloon dilation in 13), excluding those with resting right arm-leg blood pressure gradient >20 mm Hg, atypical coarctation, and major associated heart defects. Minimum body-surface area (BSA)-adjusted TAA cross-sectional area (CSA) was calculated from cardiac magnetic resonance (CMR) images. On follow-up, 38 of 92 (41%) patients had systemic HTN using standard criteria. Systemic HTN was independently associated with smaller TAA CSA/BSA (P=0.006; odds ratio [OR], 6.41 per 0.5 cm(2)/m(2) decrease), higher age at CMR (P=0.03; OR, 1.57 per 5-year increase), and in a subset (n=61), higher arm-leg SBP difference during exercise (P=0.05; OR, 1.03 per 1-mm-Hg increase). Lower ratio of TAA diameter/descending aorta diameter was associated with a larger increase in right arm SBP during peak exercise (P=0.006; r(2)=0.11). CONCLUSIONS: Persistent mild aortic arch hypoplasia, even in the absence of an arm-leg SBP difference at rest, is associated with late systemic HTN. Further studies should be undertaken to determine whether more-aggressive arch reconstruction at initial repair can reduce the incidence of systemic HTN.