Unique technique of surgery in an unusual variety of Scimitar syndrome: A Case Report

Scimitar syndrome is a rare congenital anomaly characterized by total or partial anomalous pulmonary venous drainage of the right lung to the inferior vena cava. We present a seven year old girl with a systolic murmur who was diagnosed as having a Scimitar syndrome with unusual drainage of the right pulmonary veins. The unique technique of surgery in this patient was appropriate to the unusual, previously not described anatomy

Intelligent Identification of Childhood Musical Murmurs

Heart murmurs are often the first signs of heart valvular disorders. However, most heart murmurs detected in children are innocent musical murmurs (also called Still's murmurs), which should be distinguished from other murmur types that are mostly pathological, such as regurgitant, obstructive, and flow murmurs. In order to reduce both unnecessary healthcare expenditures and parental anxiety, this study aims to develop algorithms for intelligently identifying musical murmurs in children. Discrete wavelet transform was applied to phonocardiographic signals to extract features. Singular value decomposition was applied on the matrix derived from continuous wavelet transform to extract extra features. The sequential forward feature selection algorithm was then utilized to select significant features. Musical murmurs were subsequently differentiated via a classification procedure consisting of three classification techniques: discriminant analysis, support vector machine, and artificial neural network. The results of 89.02% sensitivity, 84.76% specificity and 87.36% classification accuracy were achieved

Needles in Hay II: Detecting Cardiac Pathology by the Pediatric Chest Pain Standardized Clinical Assessment and Management Plan

OBJECTIVES: To determine if patients evaluated using the pediatric chest pain standardized clinical assessment and management plan (SCAMP) in cardiology clinic were later diagnosed with unrecognized cardiac pathology, and to determine if other patients with cardiac pathology not enrolled in the SCAMP would have been identified using the algorithm. STUDY DESIGN: Patients 7-21 years of age, newly diagnosed with hypertrophic or dilated cardiomyopathy, coronary anomalies, pulmonary embolus, pulmonary hypertension, pericarditis, or myocarditis were identified from the Boston Children\u27s Hospital (BCH) cardiac database between July 1, 2010 and December 31, 2012. Patients were cross-referenced to the SCAMP database or retrospectively assessed with the SCAMP algorithm. RESULTS: Among 98 patients with cardiac pathology, 34 (35%) reported chest pain, of whom 10 were diagnosed as outpatients. None of these patients were enrolled in the SCAMP because of alternate chief complaints (n = 4) or referral to BCH for management of the new diagnosis (n = 6). Each of these patients would have had an echocardiogram recommended by retrospective application of the SCAMP algorithm. Two other patients with cardiac pathology were among the 1124 patients assessed by the SCAMP. One patient initially diagnosed with noncardiac chest pain presented 18 months later and was diagnosed with myocarditis as an inpatient. One patient seen initially in the emergency department was subsequently diagnosed with pericarditis as an outpatient. CONCLUSIONS: Patients assessed by the chest pain SCAMP at BCH were not later diagnosed with cardiac pathology that was missed at the initial encounter. Nonenrolled outpatients with cardiac pathology and chest pain would have been successfully identified with the SCAMP algorithm