Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C)

ObjectiveThis study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses.Materials and MethodsUsing an original dataset (n = 1 854 968 severe acute respiratory syndrome coronavirus 2 tests) and its synthetic derivative, we compared key indicators of COVID-19 community spread through analysis of aggregate and zip code-level epidemic curves, patient characteristics and outcomes, distribution of tests by zip code, and indicator counts stratified by month and zip code. Similarity between the data was statistically and qualitatively evaluated.ResultsIn general, synthetic data closely matched original data for epidemic curves, patient characteristics, and outcomes. Synthetic data suppressed labels of zip codes with few total tests (mean = 2.9 ± 2.4; max = 16 tests; 66% reduction of unique zip codes). Epidemic curves and monthly indicator counts were similar between synthetic and original data in a random sample of the most tested (top 1%; n = 171) and for all unsuppressed zip codes (n = 5819), respectively. In small sample sizes, synthetic data utility was notably decreased.DiscussionAnalyses on the population-level and of densely tested zip codes (which contained most of the data) were similar between original and synthetically derived datasets. Analyses of sparsely tested populations were less similar and had more data suppression.ConclusionIn general, synthetic data were successfully used to analyze geospatial and temporal trends. Analyses using small sample sizes or populations were limited, in part due to purposeful data label suppression—an attribute disclosure countermeasure. Users should consider data fitness for use in these cases.     

ARTHROSCOPIC EVALUATION AND MANAGEMENT OF MENISCAL INJURIES OF THE KNEE

50 cases of isolated meniscal injuries of the knee were evaluated and managed arthroscopically. 56% of the cases were in 25–35 year age group. In 80% of the cases military training and contact sports was the mode of injury. Maximum (42%) patients reported late (> 2 years) after the injury. On presentation, they had an average Lysholm knee score of 53.76. Medial meniscal lesion was seen in 74%. Commonest pattern of tear encountered was a longitudinal tear (40%). Depending on pattern and extent of lesion, partial meniscectomy (60%), subtotal meniscectomy (14%) and total meniscectomy (26%) were performed. Patients were followed up at six months and one year. The average Lysholm score at 6 months was 83.3 and at one year 79.5. At one year, the patient satisfaction level was 82% and patients who underwent partial meniscectomy had the best results.KEY WORDS: Arthroscopy, Meniscal tear     

Emergence of Burkholderia cepacia in Honolulu: A Case of Nursing Home-acquired B. cepacia sepsis

Burkholderia cepacia has rarely been reported in Honolulu. Its emergence as a nursing home-acquired pathogen with high mortality rate is concerning. This case report describes a local nursing home patient who was diagnosed with B. cepacia sepsis in 2012.