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

Needles in hay: chest pain as the presenting symptom in children with serious underlying cardiac pathology

INTRODUCTION: Chest pain in children is common, but rarely heralds serious underlying cardiac pathology. Despite this, the anxiety of missing a potentially life threatening condition creates a large burden of referrals and diagnostic testing. We evaluated patients diagnosed with 1 of 9 serious cardiac diseases and detailed the clinical signs and symptoms of the patients presenting with chest pain. METHODS: Patients diagnosed between the ages of 7 and 21 years from January 2000 to December 2009 at Children\u27s Hospital Boston (CHB) were identified from a database using diagnostic and billing codes for aortic dissection, coronary anomalies, dilated cardiomyopathy, hypertrophic cardiomyopathy, myocarditis, pericarditis, pulmonary embolus, pulmonary hypertension, and Takayasu arteritis. Patients with previously diagnosed congenital or acquired heart disease were excluded. RESULTS: Four hundred eighty-four patients were included and 35% presented with chest pain. Forty-one (24%) of these patients with chest pain were diagnosed in the outpatient cardiology clinic, while the remaining 130 patients (76%) were diagnosed in the emergency department (ED) or inpatient setting. Coronary artery anomalies were the most common diagnosis made in cardiology clinic, and 16 of the 23 (70%) patients with serious coronary anomalies had exercise-induced chest pain. Patients presenting to the ED or inpatient units tended to have other important nonspecific symptoms (35-44%), high-risk past medical histories (12%), physical examination findings (32%), and electrocardiogram (ECG) abnormalities (78%) that heighten clinical suspicion of cardiac disease. CONCLUSIONS: Identifying underlying cardiac pathology in the CHB outpatient cardiology department in patients presenting with chest pain is rare, with only 41 cases over a 10-year period. The presence of exertional chest pain was important in identifying patients with coronary artery anomalies. A detailed history and physical examination, along with a critical review of an ECG, seem to identify those patients with rare diseases who need further diagnostic testing

StethAid: A Digital Auscultation Platform for Pediatrics

(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to assist with the interpretation of auscultated sounds. A few AI-augmented digital stethoscopes exist but none are dedicated to pediatrics. Our goal was to develop a digital auscultation platform for pediatric medicine. (2) Methods: We developed StethAid—a digital platform for artificial intelligence-assisted auscultation and telehealth in pediatrics—that consists of a wireless digital stethoscope, mobile applications, customized patient-provider portals, and deep learning algorithms. To validate the StethAid platform, we characterized our stethoscope and used the platform in two clinical applications: (1) Still’s murmur identification and (2) wheeze detection. The platform has been deployed in four children’s medical centers to build the first and largest pediatric cardiopulmonary datasets, to our knowledge. We have trained and tested deep-learning models using these datasets. (3) Results: The frequency response of the StethAid stethoscope was comparable to those of the commercially available Eko Core, Thinklabs One, and Littman 3200 stethoscopes. The labels provided by our expert physician offline were in concordance with the labels of providers at the bedside using their acoustic stethoscopes for 79.3% of lungs cases and 98.3% of heart cases. Our deep learning algorithms achieved high sensitivity and specificity for both Still’s murmur identification (sensitivity of 91.9% and specificity of 92.6%) and wheeze detection (sensitivity of 83.7% and specificity of 84.4%). (4) Conclusions: Our team has created a technically and clinically validated pediatric digital AI-enabled auscultation platform. Use of our platform could improve efficacy and efficiency of clinical care for pediatric patients, reduce parental anxiety, and result in cost savings

Regional implementation of a pediatric cardiology chest pain guideline using SCAMPs methodology

BACKGROUND AND OBJECTIVES: Chest pain is a complaint for which children are frequently evaluated. Cardiac causes are rarely found despite expenditure of considerable time and resources. We describe validation throughout New England of a clinical guideline for cost-effective evaluation of pediatric patients first seen by a cardiologist for chest pain using a unique methodology termed the Standardized Clinical Assessment and Management Plans (SCAMPs). METHODS: A total of 1016 ambulatory patients, ages 7 to 21 years initially seen for chest pain at Boston Children\u27s Hospital (BCH) or the New England Congenital Cardiology Association (NECCA) practices, were evaluated by using a SCAMPs chest pain guideline. Findings were analyzed for diagnostic elements, patterns of care, and compliance with the guideline. Results from the NECCA practices were compared with those of Boston Children\u27s Hospital, a regional core academic center. RESULTS: Two patients had chest pain due to a cardiac etiology, 1 with pericarditis and 1 with an anomalous coronary artery origin. Testing performed outside of guideline recommendations demonstrated only incidental findings. Patients returning for persistent symptoms did not have cardiac disease. The pattern of care for the NECCA practices and BCH differed minimally. CONCLUSIONS: By using SCAMPs methodology, we have demonstrated that chest pain in children is rarely caused by heart disease and can be evaluated in the ambulatory setting efficiently and effectively using minimal resources. The methodology can be implemented regionally across a wide range of clinical practice settings and its approach can overcome a number of barriers that often limit clinical practice guideline implementation