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Background The role of SARS-CoV-2 viral load in predicting contagiousness, disease severity, transmissibility, and clinical decision-making continues to be an area of great interest. However, most studies have been in adults and have evaluated SARS-CoV-2 loads using cycle thresholds (Ct) values, which are not standardized preventing consistent interpretation critical to understanding clinical impact and utility. Here, a quantitative SARS-CoV-2 reverse-transcription digital PCR (RT-dPCR) assay normalized to WHO International Units was applied to children at risk of severe disease diagnosed with COVID-19 at St. Jude Children's Research Hospital between March 28, 2020, and January 31, 2022. Methods Demographic and clinical information from children, adolescents, and young adults treated at St. Jude Children's Research Hospital were abstracted from medical records. Respiratory samples underwent SARS-CoV-2 RNA quantitation by RT-dPCR targeting N1 and N2 genes, with sequencing to determine the genetic lineage of infecting virus. Results Four hundred and sixty-two patients aged 0–24 years (median 11 years old) were included during the study period. Most patients were infected by the omicron variant (43.72%), followed by ancestral strain (22.29%), delta (13.20%), and alpha (2.16%). Viral load at presentation ranged from 2.49 to 9.14 log10 IU/mL, and higher viral RNA loads were associated with symptoms (OR 1.32; CI 95% 1.16–1.49) and respiratory disease (OR 1.23; CI 95% 1.07–1.41). Viral load did not differ by SARS-CoV-2 variant, vaccination status, age, or baseline diagnosis. Conclusions SARS-CoV-2 RNA loads predict the presence of symptomatic and respiratory diseases. The use of standardized, quantitative methods is feasible, allows for replication, and comparisons across institutions, and has the potential to facilitate consensus quantitative thresholds for risk stratification and treatment. [ABSTRACT FROM AUTHOR]

Although numerous studies have evaluated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using cycle threshold (Ct) values as a surrogate of viral ribonucleic acid (RNA) load, few studies have used standardized, quantitative methods. We validated a quantitative SARS-CoV-2 digital polymerase chain reaction assay normalized to World Health Organization International Units and correlated viral RNA load with symptoms and disease severity. [ABSTRACT FROM AUTHOR]

To reveal the extent of obesity in a single healthcare system and provide a blueprint for other health systems to perform similar analyses, this study describes characteristics and weight change patterns of patients classified with overweight and obesity at a large integrated delivery network (IDN) in the South-Central United States. A descriptive, observational, retrospective study was conducted using electronic medical records and claims data. Patients were ≥18 years old, body mass index (BMI) ≥27 kg/m2, and continuously enrolled in the IDN plan for ≥6 months before and ≥12 months after the index date. Demographics, comorbidities, BMI, and weight were collected. Weight changes were assessed annually, and anti-obesity medications (AOM) use was also captured. A total of 36,430 eligible patients were identified. A subset of 22,712 patients was continuously enrolled for the entire study period (mean age: 57.2) and were primarily white (83.3%) and commercially insured (54.3%). Most patients were categorized as overweight (40.1%) or obesity class I (32.5%) at baseline. At years 1 and 4 post-index, patients who maintained index weight (±3%) was 56.2% and 37.0%, respectively, whereas weight gain (≥3% increase) was 23.7% and 33.3%, respectively. AOM use (1.1%) primarily consisted of phentermine-hydrochloride (n = 114, 0.5%) and orlistat (n = 115, 0.5%). An increasing proportion of patients gained weight over time, combined with low AOM use, emphasizing the need for weight-loss interventions in this population. Findings from this study provide a foundation for health systems to perform similar analyses. [ABSTRACT FROM AUTHOR]