Cardiac auscultation is one of the most costeffective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can support physicians in their decisions. Unfortunately, the application of such systems in clinical trials is still minimal since most of them only aim to detect the presence of extra or abnormal waves in the phonocardiogram signal, i.e., only a binary ground truth variable (normal vs abnormal) is provided. This is mainly due to the lack of large publicly available datasets, where a more detailed description of such abnormal waves (e.g., cardiac murmurs) exists.To pave the way to more effective research on healthcare recommendation systems based on auscultation, our team has prepared the currently largest pediatric heart sound dataset. A total of 5282 recordings have been collected from the four main auscultation locations of 1568 patients, in the process, 215780 heart sounds have been manually annotated. Furthermore, and for the first time, each cardiac murmur has been manually annotated by an expert annotator according to its timing, shape, pitch, grading, and quality. In addition, the auscultation locations where the murmur is present were identified as well as the auscultation location where the murmur is detected more intensively. Such detailed description for a relatively large number of heart sounds may pave the way for new machine learning algorithms with a real-world application for the detection and analysis of murmur waves for diagnostic purposes.

The recent outbreak of Zika virus (ZIKV) disease caused an enormous number of infections in Central and South America, and the unusual increase in the number of infants born with microcephaly associated with ZIKV infection aroused global concern. Here, we developed a reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay using a portable device for the detection of ZIKV. The assay specifically detected ZIKV strains of both Asian and African genotypes without cross-reactivity with other arboviruses, including Dengue and Chikungunya viruses. The assay detected viral RNA at 14.5 TCID50/mL in virus-spiked serum or urine samples within 15 min, although it was slightly less sensitive than reference real time RT-PCR assay. We then evaluated the utility of this assay as a molecular diagnostic test using 90 plasma or serum samples and 99 urine samples collected from 120 suspected cases of arbovirus infection in the states of Paraíba and Pernambuco, Brazil in 2016. The results of this assay were consistent with those of the reference RT-PCR test. This portable RT-LAMP assay was highly specific for ZIKV, and enable rapid diagnosis of the virus infection. Our results provide new insights into ZIKV molecular diagnostics and may improve preparedness for future outbreaks.

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OBJECTIVE:To determine the frequence and profile of congenital heart defects in Down syndrome patients referred to a pediatric cardiologic center, considering the age of referral, gender, type of heart disease diagnosed by transthoracic echocardiography and its association with pulmonary hypertension at the initial diagnosis. METHODS:Cross-sectional study with retrospective data collection of 138 patients with Down syndrome from a total of 17,873 records. Descriptive analysis of the data was performed, using Epi-Info version 7. RESULTS: Among the 138 patients with Down syndrome, females prevailed (56.1%) and 112 (81.2%) were diagnosed with congenital heart disease. The most common lesion was ostium secundum atrial septal defect, present in 51.8%, followed by atrioventricular septal defect, in 46.4%. Ventricular septal defects were present in 27.7%, while tetralogy of Fallot represented 6.3% of the cases. Other cardiac malformations corresponded to 12.5%. Pulmonary hypertension was associated with 37.5% of the heart diseases. Only 35.5% of the patients were referred before six months of age. CONCLUSIONS: The low percentage of referral until six months of age highlights the need for a better tracking of patients with Down syndrome in the context of congenital heart disease, due to the high frequency and progression of pulmonary hypertension.