Background Joint acoustic emissions from knees have been evaluated as a convenient, non-invasive digital biomarker of inflammatory knee involvement in a small cohort of children with Juvenile Idiopathic Arthritis (JIA). The objective of the present study was to validate this in a larger cohort. Findings A total of 116 subjects (86 JIA and 30 healthy controls) participated in this study. Of the 86 subjects with JIA, 43 subjects had active knee involvement at the time of study. Joint acoustic emissions were bilaterally recorded, and corresponding signal features were used to train a machine learning algorithm (XGBoost) to classify JIA and healthy knees. All active JIA knees and 80% of the controls were used as training data set, while the remaining knees were used as testing data set. Leave-one-leg-out cross-validation was used for validation on the training data set. Validation on the training and testing set of the classifier resulted in an accuracy of 81.1% and 87.7% respectively. Sensitivity / specificity for the training and testing validation was 88.6% / 72.3% and 88.1% / 83.3%, respectively. The area under the curve of the receiver operating characteristic curve was 0.81 for the developed classifier. The distributions of the joint scores of the active and inactive knees were significantly different. Conclusion Joint acoustic emissions can serve as an inexpensive and easy-to-use digital biomarker to distinguish JIA from healthy controls. Utilizing serial joint acoustic emission recordings can potentially help monitor disease activity in JIA affected joints to enable timely changes in therapy.
Background Evaluation for bacterial bloodstream infections (BSIs) is often associated with prescribing empiric antibiotics while awaiting blood culture results, typically 48 hours. We examined characteristics associated with positive cultures treated as BSI vs contaminant in children and BSIs associated with prolonged (≥ 24 hours) time-to-positivity (TTP). Methods In a retrospective study of children (≤ 21 years) at our pediatric healthcare system, we abstracted demographic, clinical, and blood culture data from the electronic medical record for all initial positive bacterial blood cultures from March 2021 to February 2022. We excluded fungi and cultures collected within 14 days of a previous positive. TTP was calculated from time/date of collection to Gram stain report. Host status was categorized as previously healthy, immunocompromised (IC), and chronic condition/s. A BSI was defined as a positive culture treated for ≥ 3 days. BSI cultures were categorized as Gram-positive definite (GPD) pathogens, other Gram-positive (OGP), Gram-negative (GN), or polymicrobial (PM). Characteristics associated with prolonged TTP for BSIs were identified using mixed-effects logistic regression. Results There were 816 positive cultures identified in 697 children, with 582 (71%) treated as BSIs and 536 of those (92%) positive in < 36 hours. Positive cultures drawn with adequate blood volume, in the setting of fever, severe neutropenia, and from IC children were significantly more likely to be treated as BSIs (all p< 0.05, Table 1). The most common BSI was a GN pathogen (34.2%, Figure 1). Characteristics associated with prolonged TTP were absence of fever and cultures drawn peripherally. Early TTP (< 24 hours) was associated with cultures drawn outpatient and growth of high likelihood pathogenic organisms (GPD, GN, PM) compared to OGP (all p< 0.05). On multivariate analysis, cultures drawn peripherally remained associated with prolonged TTP (p< 0.01), while GPD, GN, and PM cultures remained associated with early TTP (p< 0.01, Table 2). Conclusion We found that 92% of clinically significant BSIs in children were identified by 36 hours with BSIs with pathogenic organisms (GPD, GN, PM) associated with TTP < 24 hours. Reassessment of the need for antibiotics after 24–36 hours should be considered. Disclosures Pratik A. Patel, MD, Cardinal Health, Inc: Advisor/Consultant.
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