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Erickson JL, Poterucha JT, Gende A, McEleney M, Wencl CM, Castaneda M, Gran L, Luedke J, Collum J, Fischer KM, Jagim AR. Use of Electrocardiographic Screening to Clear Athletes for Return to Sports Following COVID-19 Infection. Mayo Clin Proc Innov Qual Outcomes 2021; 5:368-76. [PMID: 33585801 DOI: 10.1016/j.mayocpiqo.2021.01.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objective To quantify the occurrence rate of abnormal electrocardiographic (ECG) findings and symptoms following coronavirus disease 2019 (COVID-19) infection. Patients and Methods In this retrospective analysis, we studied adult patients (>18 years old) who were participating in collegiate athletics and previously tested positive for COVID-19 between August 1, 2020, and December 30, 2020. The athletes underwent general examinations and ECG screening prior to being medically cleared for a return to sports following their COVID-19 diagnosis. Predetermined predictors were grouped into categorical variables including (1) sex, (2) symptom severity, and (3) body mass index (normal vs overweight [≥24 kg/m2]). These variables were used to examine differences of abnormal rates that occurred between different predictor categories. Results Of the 170 athletes screened, 6 (3.5%) presented with abnormal ECG findings and were referred to cardiologists. We found no evidence that sex, symptom severity, and body mass index category were associated with a higher rate of abnormal ECG findings (all P>.05). Greater severity of COVID-19 symptoms was associated with a higher percentage of ST depression, T-wave inversion, ST-T changes, and the presence of fragmented QRS complex. Loss of smell, loss of taste, headache, and fatigue were the most prevalent symptoms, with 38.8% (66), 36.5% (62), 32.9% (56), and 25.3% (43), respectively, of the 170 athletes reporting each symptom. Conclusion Preliminary findings indicate a low risk of myocardial injury secondary to COVID-19 infection, with less than 4% of the 170 patients in our study presenting with abnormal ECG findings and a total of 16 patients (9.4%) requiring referral to a cardiologist. Although viral myocarditis was not detected in any athlete referred for cardiological assessment, 2 patients experienced effusive viral pericarditis.
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Sollmann N, Echlin PS, Schultz V, Viher PV, Lyall AE, Tripodis Y, Kaufmann D, Hartl E, Kinzel P, Forwell LA, Johnson AM, Skopelja EN, Lepage C, Bouix S, Pasternak O, Lin AP, Shenton ME, Koerte IK. Sex differences in white matter alterations following repetitive subconcussive head impacts in collegiate ice hockey players. Neuroimage Clin 2017; 17:642-649. [PMID: 29204342 PMCID: PMC5709295 DOI: 10.1016/j.nicl.2017.11.020] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2017] [Revised: 11/08/2017] [Accepted: 11/18/2017] [Indexed: 12/31/2022]
Abstract
Objective Repetitive subconcussive head impacts (RSHI) may lead to structural, functional, and metabolic alterations of the brain. While differences between males and females have already been suggested following a concussion, whether there are sex differences following exposure to RSHI remains unknown. The aim of this study was to identify and to characterize sex differences following exposure to RSHI. Methods Twenty-five collegiate ice hockey players (14 males and 11 females, 20.6 ± 2.0 years), all part of the Hockey Concussion Education Project (HCEP), underwent diffusion-weighted magnetic resonance imaging (dMRI) before and after the Canadian Interuniversity Sports (CIS) ice hockey season 2011-2012 and did not experience a concussion during the season. Whole-brain tract-based spatial statistics (TBSS) were used to compare pre- and postseason imaging in both sexes for fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Pre- and postseason neurocognitive performance were assessed by the Immediate Post-Concussion Assessment and Cognitive Test (ImPACT). Results Significant differences between the sexes were primarily located within the superior longitudinal fasciculus (SLF), the internal capsule (IC), and the corona radiata (CR) of the right hemisphere (RH). In significant voxel clusters (p < 0.05), decreases in FA (absolute difference pre- vs. postseason: 0.0268) and increases in MD (0.0002), AD (0.00008), and RD (0.00005) were observed in females whereas males showed no significant changes. There was no significant correlation between the change in diffusion scalar measures over the course of the season and neurocognitive performance as evidenced from postseason ImPACT scores. Conclusions The results of this study suggest sex differences in structural alterations following exposure to RSHI. Future studies need to investigate further the underlying mechanisms and association with exposure and clinical outcomes.
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Key Words
- AD, axial diffusivity
- CIS, Canadian Interuniversity Sports
- CR, corona radiata
- Diffusion tensor imaging
- EC, external capsule
- FA, fractional anisotropy
- HCEP, Hockey Concussion Education Project
- IC, internal capsule
- Ice hockey
- ImPACT, Immediate Post-Concussion Assessment and Cognitive Test
- LH, left hemisphere
- MD, mean diffusivity
- MRI, magnetic resonance imaging
- NCAA, National Collegiate Athletic Association
- RD, radial diffusivity
- RH, right hemisphere
- RSHI, repetitive subconcussive head impacts
- Repetitive subconcussive head impacts
- SD, standard deviation
- SLF, superior longitudinal fasciculus
- Sex difference
- TBI, traumatic brain injury
- TBSS, tract-based spatial statistics
- Traumatic brain injury
- WM, white matter
- White matter
- dMRI, diffusion magnetic resonance imaging
- rs, Spearman's rank correlation coefficient
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Affiliation(s)
- Nico Sollmann
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany; TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany; Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
| | - Paul S Echlin
- Elliott Sports Medicine Clinic, Burlington, ON, Canada.
| | - Vivian Schultz
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany.
| | - Petra V Viher
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Translational Research Center, University Hospital of Psychiatry, Bern, Switzerland.
| | - Amanda E Lyall
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; Boston University Alzheimer's Disease and CTE Center, Boston University School of Medicine, Boston, MA, USA.
| | - David Kaufmann
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany; Department of Radiology, Charité Universitätsmedizin, Berlin, Germany.
| | - Elisabeth Hartl
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Epilepsy Center, Ludwig-Maximilians-Universität, Munich, Germany.
| | - Philipp Kinzel
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany.
| | - Lorie A Forwell
- 3M Centre, The University of Western Ontario, London, ON, Canada.
| | - Andrew M Johnson
- School of Health Studies, The University of Western Ontario, London, ON, Canada.
| | - Elaine N Skopelja
- Ruth Lilly Medical Library, Indiana University, Indianapolis, IN, USA.
| | - Christian Lepage
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; School of Psychology, University of Ottawa, Ottawa, ON, Canada.
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Alexander P Lin
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Brockton Division, Brockton, MA, USA.
| | - Inga K Koerte
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, Ludwig-Maximilians-Universität, Munich, Germany; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Wyness SP, Hunsaker JJ, Snow TM, Genzen JR. Evaluation and analytical validation of a handheld digital refractometer for urine specific gravity measurement. Pract Lab Med 2016; 5:65-74. [PMID: 28856206 PMCID: PMC5574504 DOI: 10.1016/j.plabm.2016.06.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 05/13/2016] [Accepted: 06/01/2016] [Indexed: 11/28/2022] Open
Abstract
Objectives Refractometers are commonly used to determine urine specific gravity (SG) in the assessment of hydration status and urine specimen validity testing. Few comprehensive performance evaluations are available demonstrating refractometer capability from a clinical laboratory perspective. The objective of this study was therefore to conduct an analytical validation of a handheld digital refractometer used for human urine SG testing. Design and methods A MISCO Palm Abbe™ refractometer was used for all experiments, including device familiarization, carryover, precision, accuracy, linearity, analytical sensitivity, evaluation of potential substances which contribute to SG (i.e. “interference”), and reference interval evaluation. A manual refractometer, urine osmometer, and a solute score (sum of urine chloride, creatinine, glucose, potassium, sodium, total protein, and urea nitrogen; all in mg/dL) were used as comparative methods for accuracy assessment. Results Significant carryover was not observed. A wash step was still included as good laboratory practice. Low imprecision (%CV, <0.01) was demonstrated using low and high QC material. Accuracy studies showed strong correlation to manual refractometry. Linear correlation was also demonstrated between SG, osmolality, and solute score. Linearity of Palm Abbe performance was verified with observed error of ≤0.1%. Increases in SG were observed with increasing concentrations of albumin, creatinine, glucose, hemoglobin, sodium chloride, and urea. Transference of a previously published urine SG reference interval of 1.0020–1.0300 was validated. Conclusions The Palm Abbe digital refractometer was a fast, simple, and accurate way to measure urine SG. Analytical validity was confirmed by the present experiments.
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Key Words
- ACSM, American College of Sports Medicine
- ALB, albumin
- AMR, analytical measurement range
- ARUP, Associated Regional & University Pathologists
- CLSI, Clinical & Laboratory Standards Institute
- CR, creatinine
- CV, coefficient of variation
- Cl, chloride
- Digital refractometry
- FDA, Food and Drug Administration
- GLU, glucose
- Hydration
- IRB, Institutional Review Board
- K+, potassium
- LIMS, laboratory information management system
- LLMI, lower limit of the measuring interval
- LOB, limit of blank
- LOD, limit of detection
- LOQ, limit of quantitation
- NATA, National Athletic Trainers Association
- NCAA, National Collegiate Athletic Association
- Na, sodium
- Osmolality
- POC, point of care
- QC, quality control
- RI, reference interval
- SAMHSA, Substance Abuse and Mental Health Services Administration
- SD, standard deviation
- SG, specific gravity
- Specific gravity
- Sports medicine
- TAE, total allowable error
- TE, total error
- TP, total protein
- UN, urea nitrogen
- Urine adulteration
- Urine drug testing
- ddH2O, demineralized distilled water
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Affiliation(s)
- Sara P. Wyness
- ARUP Institute for Clinical and Experimental Pathology, 500 Chipeta Way, Salt Lake City, UT 84108, United States
| | - Joshua J.H. Hunsaker
- ARUP Institute for Clinical and Experimental Pathology, 500 Chipeta Way, Salt Lake City, UT 84108, United States
| | - Taylor M. Snow
- ARUP Institute for Clinical and Experimental Pathology, 500 Chipeta Way, Salt Lake City, UT 84108, United States
| | - Jonathan R. Genzen
- ARUP Institute for Clinical and Experimental Pathology, 500 Chipeta Way, Salt Lake City, UT 84108, United States
- Department of Pathology, University of Utah, 500 Chipeta Way, Mail Code 115, Salt Lake City, UT 84108, United States
- Corresponding author at: Department of Pathology, University of Utah, 500 Chipeta Way, Mail Code 115, Salt Lake City, UT 84108, United States.Department of Pathology, University of Utah500 Chipeta Way, Mail Code 115Salt Lake CityUT84108United States
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