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  • Journal of Athletic Training/NATA  (3)
  • Ni, Meng  (3)
  • 1
    Online Resource
    Online Resource
    Journal of Athletic Training/NATA ; 2020
    In:  Journal of Athletic Training Vol. 55, No. 6 ( 2020-06-23), p. 601-607
    In: Journal of Athletic Training, Journal of Athletic Training/NATA, Vol. 55, No. 6 ( 2020-06-23), p. 601-607
    Abstract: In the absence of baseline testing, normative data may be used to interpret postconcussion scores on the clinical reaction-time test (RTclin). However, to provide normative data, we must understand the performance factors associated with baseline testing. Objective To explore performance factors associated with baseline RTclin from among candidate variables representing demographics, medical and concussion history, self-reported symptoms, sleep, and sport-related features. Design Cross-sectional study. Setting Clinical setting (eg, athletic training room). Patients or Other Participants A total of 2584 National Collegiate Athletic Association student-athletes (n = 1206 females [47%], 1377 males [53%] , and 1 unreported ( & lt;0.1%); mass = 76.7 ± 18.7 kg; height = 176.7 ± 11.3 cm; age = 19.0 ± 1.3 years) from 3 institutions participated in this study as part of the Concussion Assessment, Research and Education Consortium. Main Outcome Measure(s) Potential performance factors were sex; race; ethnicity; dominant hand; sport type; number of prior concussions; presence of anxiety, learning disability, attention-deficit disorder or attention-deficit/hyperactivity disorder, depression, or migraine headache; self-reported sleep the night before the test; mass; height; age; total number of symptoms; and total symptom burden at baseline. The primary study outcome measure was mean baseline RTclin. Results The overall RTclin was 202.0 ± 25.0 milliseconds. Female sex (parameter estimate [B] = 8.6 milliseconds, P & lt; .001, Cohen d = 0.54 relative to male sex), black or African American race (B = 5.3 milliseconds, P = .001, Cohen d = 0.08 relative to white race), and limited-contact (B = 4.2 milliseconds, P & lt; .001, Cohen d = 0.30 relative to contact) or noncontact (B = 5.9 milliseconds, P & lt; .001, Cohen d = 0.38 relative to contact) sport participation were associated with slower RTclin. Being taller was associated with a faster RTclin, although this association was weak (B = −0.7 milliseconds, P & lt; .001). No other predictors were significant. When adjustments are made for sex and sport type, the following normative data may be considered (mean ± standard deviation): female, noncontact (211.5 ± 25.8 milliseconds), limited contact (212.1 ± 24.3 milliseconds), contact (203.7 ± 21.5 milliseconds); male, noncontact (199.4 ± 26.7 milliseconds), limited contact (196.3 ± 23.9 milliseconds), contact (195.0 ± 23.8 milliseconds). Conclusions Potentially clinically relevant differences existed in RTclin for sex and sport type. These results provide normative data adjusting for these performance factors.
    Type of Medium: Online Resource
    ISSN: 1062-6050
    Language: English
    Publisher: Journal of Athletic Training/NATA
    Publication Date: 2020
    detail.hit.zdb_id: 2070051-9
    SSG: 31
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    In: Journal of Athletic Training, Journal of Athletic Training/NATA, Vol. 56, No. 8 ( 2021-08-01), p. 851-859
    Abstract: Preseason testing can be time intensive and cost prohibitive. Therefore, using normative data for postconcussion interpretation in lieu of preseason testing is desirable. Objective To establish the recovery trajectory for clinical reaction time (RTclin) and assess the usefulness of changes from baseline (comparison of postconcussion scores with individual baseline scores) and norm-based cutoff scores (comparison of postconcussion scores with a normative mean) for identifying impairments postconcussion. Design Case-control study. Setting Multisite clinical setting. Patients or Other Participants An overlapping sample of 99 participants (age = 19.0 ± 1.1 years) evaluated within 6 hours postconcussion, 176 participants (age = 18.9 ± 1.1 years) evaluated at 24 to 48 hours postconcussion, and 214 participants (age = 18.9 ± 1.1 years) evaluated once they were cleared to begin a return-to-play progression were included. Participants with concussion were compared with 942 control participants (age = 19.0 ± 1.0 years) who did not sustain a concussion during the study period but completed preseason baseline testing at 2 points separated by 1 year (years 1 and 2). Main Outcome Measure(s) At each time point, follow-up RTclin (ie, postconcussion or year 2) was compared with the individual year 1 preseason baseline RTclin and normative baseline data (ie, sex and sport specific). Receiver operating characteristic curves were calculated to compare the sensitivity and specificity of RTclin change from baseline and norm-based cutoff scores. Results Clinical reaction time performance declined within 6 hours (18 milliseconds, 9.2% slower than baseline). The decline persisted at 24 to 48 hours (15 milliseconds, 7.6% slower than baseline), but performance recovered by the time of return-to-play initiation. Within 6 hours, a change from baseline of 16 milliseconds maximized combined sensitivity (52%) and specificity (79%, area under the curve [AUC] = 0.702), whereas a norm-based cutoff score of 19 milliseconds maximized combined sensitivity (46%) and specificity (86%, AUC = 0.700). At 24 to 48 hours, a change from baseline of 2 milliseconds maximized combined sensitivity (64%) and specificity (61%, AUC = 0.666), whereas a norm-based cutoff score of 0 milliseconds maximized combined sensitivity (63%) and specificity (62%, AUC = 0.647). Conclusions Norm-based cutoff scores can be used for interpreting RTclin scores postconcussion in collegiate athletes when individual baseline data are not available, although low sensitivity and specificity limit the use of RTclin as a stand-alone test.
    Type of Medium: Online Resource
    ISSN: 1062-6050
    Language: English
    Publisher: Journal of Athletic Training/NATA
    Publication Date: 2021
    detail.hit.zdb_id: 2070051-9
    SSG: 31
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    In: Journal of Athletic Training, Journal of Athletic Training/NATA, ( 2020-12-22)
    Abstract: Context: Pre-season testing is often used to establish baseline scores for post-concussion interpretation. However, pre-season testing can be time-intensive and cost-prohibitive, in which case normative data may be used for post-injury interpretation. Objective: To compare change from baseline and normative-based cutoff scores in interpreting clinical reaction time (RTclin) following concussion. Design: Prospective case-control study. Setting: Multi-site study with testing completed in university athletic training rooms. Patients or Other Participants: An overlapping sample of 99 participants (age=19.0±1.1 years) evaluated within 6 hours post injury, 176 participants (age 18.9±1.1 years) evaluated 24–48 hours post injury, and 214 participants (18.9±1.1 years) evaluated at the time they were cleared to begin a return-to-play progression. Concussion participants were compared to 942 control participants (age=19.0±1.0 years) who did not sustain a concussion during the study period but completed preseason baseline testing one year apart. Main Outcome Measures: At each time point, follow-up RTclin (i.e., post injury or year 2) was compared to individualized year 1 preseason baseline RTclin and to normative baseline data (i.e., sex- and sport-specific). Receiver operating characteristic curves were used to compare sensitivity and specificity of RTclin change from baseline and normative-based cutoff scores. Results: Within 6h, change from baseline of 16ms maximized combined sensitivity (52%) and specificity (78%, AUC=0.702), while normative-based cutoff scores of 19ms maximized combined sensitivity (45%) and specificity (86%, AUC=0.700). At 24–48h, change from baseline of 2ms maximized combined sensitivity (64%) and specificity (61%, AUC=0.666), while normative-based cutoff scores of 0ms maximized combined sensitivity (63%) and specificity (62%, AUC=0.647). Conclusions: Normative-based cutoff scores can be used for interpreting RTclin scores following concussion when individualized baseline data is not available, although low sensitivity and specificity may limit clinical use as a stand-alone test.
    Type of Medium: Online Resource
    ISSN: 1062-6050
    Language: English
    Publisher: Journal of Athletic Training/NATA
    Publication Date: 2020
    detail.hit.zdb_id: 2070051-9
    SSG: 31
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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