Safety of maximal cardiopulmonary exercise testing in individuals with sickle cell disease: a systematic review.

OBJECTIVE: We evaluated the safety of maximal cardiopulmonary exercise testing (CPET) in individuals with sickle cell disease (SCD). Maximal CPET using gas exchange analysis is the gold standard for measuring cardiopulmonary fitness in the laboratory, yet its safety in the SCD population is unclear. DESIGN: Systematic review. DATA SOURCES: Systematic search of Medline (PubMed), EMBASE, Cochrane, ClinicalTrials.gov and professional society websites for all published studies and abstracts through December 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Two reviewers independently extracted data of interest from studies that assessed safety outcomes of maximal CPET in children and adults with SCD. A modified version of the Newcastle-Ottawa Scale was used to assess for risk of bias in studies included. RESULTS: In total, 24 studies met inclusion/exclusion criteria. Adverse events were reported separately or as part of study results in 36 (3.8%) of 939 participants with SCD undergoing maximal CPET in studies included. Most adverse events were related to transient ischaemic changes on ECG monitoring or oxygen desaturation during testing, which did not result in arrhythmias or other complications. Only 4 (0.43%) of 939 participants experienced pain events due to maximal CPET. CONCLUSION: Maximal CPET appears to be a safe testing modality in children and adults with SCD and can be used to better understand the physiological basis of reduced exercise capacity and guide exercise prescription in this population. Some studies did not focus on reporting adverse events related to exercise testing or failed to mention safety monitoring, which contributed to risk of bias.

Osteonecrosis of the Shoulders in Pediatric Patients Treated for Leukemia or Lymphoma: Single-Institutional Experience.

BACKGROUND: Osteonecrosis of the hips and knees is an often debilitating adverse event in children treated with glucocorticoids for leukemia and lymphoma but the impact of shoulder involvement has been understudied. Thus, we investigated the severity and functional impairment of shoulder osteonecrosis in a well-characterized population of pediatric patients treated for acute lymphoblastic leukemia or lymphoma. METHODS: We retrospectively reviewed orthopaedic clinic and physical therapy evaluations to determine range of motion (ROM), pain, and impact of magnetic resonance-defined osteonecrosis (ON) on activities of daily living. Adverse events were classified according to the National Cancer Institute's Common Terminology Criteria for Adverse Events version 4.03. RESULTS: We identified 35 patients (22 female), median age at cancer diagnosis 14.2 (range, 4.3 to 19) years; median age at ON diagnosis 16.7 (range, 5.5 to 28) years. Median time to last follow-up from diagnosis of primary malignancy was 6.4 (range, 0 to 12.7) years and from diagnosis of ON was 4.0 (range, 0 to 8.9) years. Twenty-two patients had magnetic resonance evidence of ON; 43 shoulders involved at least 30% of the articular surface of the capital humeral epiphyses.Common Terminology Criteria for Adverse Events mean scores for initial assessments of 55 shoulders (29 patients) showed moderate negative impact of ON on activity of daily living (1.94), decreased ROM limiting athletic activity (0.98), and mild to moderate levels of pain (1.38). Analysis of this group's most recent assessment showed improvement in pain and ON over time, with an average pain grade of 0.58 indicating no pain to mild pain, and 1.37 for ON grade, indicating asymptomatic to mildly symptomatic impact on activities of daily living. We also found minimal worsening average ROM grades (1.11). CONCLUSIONS: Shoulder ON is an underappreciated adverse late effect of therapy in children treated for leukemia/lymphoma which can limit quality of life and functionality. In most cases, pain and disability can be improved with treatment. LEVEL OF EVIDENCE: Level IV-case series.

Feasibility of remote monitoring for fatal coronary heart disease using Apple Watch ECGs.

Background: Fatal coronary heart disease (FCHD) is often described as sudden cardiac death (affects >4 million people/year), where coronary artery disease is the only identified condition. Electrocardiographic artificial intelligence (ECG-AI) models for FCHD risk prediction using ECG data from wearable devices could enable wider screening/monitoring efforts. Objectives: To develop a single-lead ECG-based deep learning model for FCHD risk prediction and assess concordance between clinical and Apple Watch ECGs. Methods: An FCHD single-lead ("lead I" from 12-lead ECGs) ECG-AI model was developed using 167,662 ECGs (50,132 patients) from the University of Tennessee Health Sciences Center. Eighty percent of the data (5-fold cross-validation) was used for training and 20% as a holdout. Cox proportional hazards (CPH) models incorporating ECG-AI predictions with age, sex, and race were also developed. The models were tested on paired clinical single-lead and Apple Watch ECGs from 243 St. Jude Lifetime Cohort Study participants. The correlation and concordance of the predictions were assessed using Pearson correlation (R), Spearman correlation (ρ), and Cohen's kappa. Results: The ECG-AI and CPH models resulted in AUC = 0.76 and 0.79, respectively, on the 20% holdout and AUC = 0.85 and 0.87 on the Atrium Health Wake Forest Baptist external validation data. There was moderate-strong positive correlation between predictions (R = 0.74, ρ = 0.67, and κ = 0.58) when tested on the 243 paired ECGs. The clinical (lead I) and Apple Watch predictions led to the same low/high-risk FCHD classification for 99% of the participants. CPH prediction correlation resulted in an R = 0.81, ρ = 0.76, and κ = 0.78. Conclusion: Risk of FCHD can be predicted from single-lead ECGs obtained from wearable devices and are statistically concordant with lead I of a 12-lead ECG.