Use of Monospot Testing in the Diagnosis of Infectious Mononucleosis in the Collegiate Student-Athlete Population.

OBJECTIVE: To determine the utility of monospot testing in the diagnosis of mononucleosis in the collegiate student-athlete clinical setting. DESIGN: Retrospective cohort study. SETTING: National Collegiate Athletic Association Division I sports medicine clinic. PATIENTS: All varsity student athletes who had a monospot test and Epstein-Barr virus (EBV) titers obtained from January 1, 2016, through March 31, 2020, (n = 199) were included. INDEPENDENT VARIABLES: Monospot, EBV antibody titers, and liver transaminase results. MAIN OUTCOME MEASURES: Using EBV titers indicating acute or recent infection as the gold standard for diagnosing infectious mononucleosis (IM), the reliability of a positive monospot test and elevated liver transaminases for the diagnosis of IM were examined. RESULTS: The monospot test had a sensitivity and specificity of 80.0% and 90.6%, respectively, with a positive predictive value of 36.4% and a negative predictive value of 98.5% in this cohort. All athletes diagnosed with IM also had elevated liver transaminases. CONCLUSIONS: The specificity of the monospot test is lower than previously reported in the literature, and a positive test is not sufficient to diagnose mononucleosis in this clinical setting. Positive monospot results should be confirmed with EBV antibody testing. Elevated transaminase levels are highly correlated with acute IM and could play a supporting role in the diagnosis.

Factors Associated With a Prolonged Time to Return to Play After a Concussion.

BACKGROUND: Prognosticating recovery times for individual athletes with a concussion remains a challenge for health care providers. Several preinjury and postinjury factors have been proposed to be predictive of prolonged return-to-play (RTP) times, but the data in this area are still sparse. PURPOSES: This study aimed to identify risk factors associated with prolonged recovery times and determine which are most predictive of prolonged recovery times in a head-to-head comparison. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: All concussions occurring between September 2017 and August 2020 at a single National Collegiate Athletic Association Division I institution were reviewed and included in this study. Preinjury modifiers including age, sex, sport, concussion history, and past medical problems were collected from the electronic medical records. Postinjury modifiers analyzed included initial and follow-up Sport Concussion Assessment Tool 5th Edition scores, vestibular evaluation findings, and eye tracking results. RESULTS: A total of 159 athletes and 187 concussion cases were included. Preinjury factors that were correlated with prolonged RTP times included a history of concussions (P = .015), a history of migraines (P = .013), and whether an athlete participated in an individual sport (P = .009). Postinjury factors correlated with prolonged RTP times included the total number (P = .020) and severity (P = .023) of symptoms as well as abnormal Vestibular Ocular Motor Screening findings (P = .002). Overall, 6 different symptoms (balance problems, difficulty concentrating, light sensitivity, drowsiness, fatigue/low energy, and difficulty remembering) were significantly correlated with prolonged RTP times. The study also found that the number and severity of symptoms were additive in a dose-dependent fashion. On multivariable analysis of all these factors, a history of concussions was found to be the most predictive of prolonged RTP times, while participation in an individual sport had the largest effect on recovery times. CONCLUSION: Several preinjury and postinjury risk factors were identified as being correlated with prolonged recovery times. Many of these risk factors were also found to be additive in nature. This information provides clinicians with a valuable tool in prognosticating and estimating recovery times for athletes. The study also revealed that athletes participating in individual sports had longer RTP times compared with athletes in team sports, which is a novel finding that requires further research.

Probability density function estimation of laser light scintillation via Bayesian mixtures.

A method for probability density function (PDF) estimation using Bayesian mixtures of weighted gamma distributions, called the Dirichlet process gamma mixture model (DP-GaMM), is presented and applied to the analysis of a laser beam in turbulence. The problem is cast in a Bayesian setting, with the mixture model itself treated as random process. A stick-breaking interpretation of the Dirichlet process is employed as the prior distribution over the random mixture model. The number and underlying parameters of the gamma distribution mixture components as well as the associated mixture weights are learned directly from the data during model inference. A hybrid Metropolis-Hastings and Gibbs sampling parameter inference algorithm is developed and presented in its entirety. Results on several sets of controlled data are shown, and comparisons of PDF estimation fidelity are conducted with favorable results.