Background: Lyme disease is the most common vector-borne disease in United States children. It was traditionally thought to be limited to the Northeast and upper Midwest due to the prevalence of tick and deer vectors in these regions. We hypothesize that as Lyme disease cases in children continue to increase throughout the country, nontraditional regions such as the Midwest and South may have an increased rate of Lyme disease compared with the Northeast region. Methods: The Pediatric Health Information System (PHIS) database was queried for patients 19.0 years or younger who were treated for Lyme disease between 2004 and 2019 through Emergency Department and in-patient records using ICD coding. Data from 49 pediatric hospitals was included and the centers were split into 4 regions based on geographic location. The data was separated into 2 time periods: 2004 to 2014 and 2015 to 2019. Slopes were compared using a general linear model with interaction to determine if annual rates of Lyme disease were statistically different between the 2 time periods. The data was then split by geographic region and again the annual rate of Lyme disease was compared between the 4 regions. A P -value <0.008 was considered significant to adjust for multiple comparisons. Results: Between 2004 and 2019, 7,572 cases of Lyme disease were reported with a mean age of 9.5 years (range: 0.08 to 19.00 y) and 58% male. From 2004 to 2019, there was an annual increase of 46.5 cases. When separated by region from 2004 to 2019, the Midwest had a higher increased annual rate of Lyme disease (30.7 additional cases/year) compared with the Northeast (10.0 additional cases/y), the South (3.6 additional cases/y), and the West (2.2 additional cases/y). Conclusions: Lyme disease continues to show an increased rate across the United States. The annual increase in cases in the Midwest was significantly higher than the other regions from 2004 to 2019. There does appear to be a significant regional spread, particularly in the Midwest. Awareness of the increased rate and spread of Lyme disease across the US is crucial in helping to identify national and regional strategies to diagnose and treat this disease in children. Level of Evidence: Level IV.
A Simple Clinical Predictive Model for Arthroscopic Mobility of Osteochondritis Dissecans Lesions of the Knee
Background: Osteochondritis dissecans (OCD) of the knee is a focal idiopathic alteration of subchondral bone and/or its precursor with risk for instability and disruption of adjacent cartilage. Treatment options focused on preventing premature osteoarthritis vary depending on multiple patient and lesion characteristics, including lesion mobility. Purpose: To differentiate lesion mobility before arthroscopy using a multivariable model that includes patient demographic characteristics and physical examination findings. Study Design: Cohort study (Diagnosis); Level of evidence, 2. Methods: Demographic, preoperative physical examination, and radiographic data were collected from a multicenter national prospective cohort of patients with OCD of the knee. Inclusion criteria included patients <19 years of age and patients with arthroscopically confirmed mobility status based on the Research on Osteochondritis Dissecans of the Knee arthroscopy classification. Multivariable logistic regression analysis using stepwise model selection was used to determine factors associated with the likelihood of a mobile versus an immobile lesion. A 75% partition of the data was used for model training, and 25% was used as a validation cohort. Quantitative model fit statistics were computed using the holdout data, including sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC), along with the corresponding 95% CI. Results: A total of 407 patients in the prospective cohort met inclusion criteria, and 62% were male. The mean ± SD age was 13.7 ± 2.2 years, height 161.8 ± 5.3 cm, and weight 59.2 ± 42.2 kg. Arthroscopic evaluation yielded 235 immobile and 172 mobile lesions. Multivariable analysis determined that the best model to predict lesion mobility included chronologic age ≥14 years ( P < .001), effusion on physical examination ( P < .001), and any loss of range of motion on physical examination ( P = .07), while controlling for male sex ( P = .38) and weight >54.4 kg ( P = .12). In the 25% holdout validation sample (n = 102), a sensitivity of 83%, a specificity of 82%, and an AUC of 0.89 (95% CI, 0.82-0.95) were achieved with these predictive factors. Conclusion: Age, effusion, and loss of motion can predict knee OCD lesion mobility at the time of arthroscopy. Education about lesion mobility can help with surgical planning and patient and family counseling.