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  • 2017 (1)

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  • Quyyumi, Arshed
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  • Medicine: Pulmonary

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Article

Sleep-Disordered Breathing and Cardiovascular Correlates in College Football Players

by Jonathan Kim; Casey Hollowed; Morgan Irwin-Weyant; Keyur Patel; Kareem Hosny; Hiroshi Aida; Zaina Gowani; Salman Sher; Patrick Gleason; James L. Shoop; Angelo Galante; Craig Clark; Yi-An Ko; Arshed Quyyumi; Nancy Collop; Aaron L. Baggish

2017

Subjects
  • Health Sciences, Medicine and Surgery
  • Biology, Biostatistics
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Abstract:Close

This study sought to determine the cardiovascular physiologic correlates of sleep-disordered breathing (SDB) in American-style football (ASF) participants using echocardiography, vascular applanation tonometry, and peripheral arterial tonometry. Forty collegiate ASF participants were analyzed at pre- and postseason time points with echocardiography and vascular applanation tonometry. WatchPAT (inclusive of peripheral arterial tonometry) used to assess for SDB was then performed at the postseason time point. Twenty-two of 40 (55%) ASF participants demonstrated SDB with an apnea-hypopnea index (pAHI) ≥5. ASF participants with SDB were larger (109 ± 20 vs 92 ± 14 kg, p = 0.004) and more likely linemen position players (83% vs 50%, p = 0.03). Compared with those without SDB, ASF participants with SDB demonstrated relative impairments in left ventricular diastolic and vascular function as reflected by lower lateral e′ (14 ± 3 vs 17 ± 3 cm/s, p = 0.007) and septal e′ (11 ± 2 vs 13 ± 2 cm/s, p = 0.009) tissue velocities and higher pulse wave velocity (5.4 ± 0.9 vs 4.8 ± 0.5 m/s, p = 0.02). In the total cohort, there were significant positive correlations between pAHI and pulse wave velocity (r = 0.42, p = 0.008) and inverse correlations between pAHI and the averaged e′ tissue velocities (r = −0.42, p = 0.01). In conclusion, SDB is highly prevalent in youthful collegiate ASF participants and associated with relative impairments in cardiac and vascular function. Targeted efforts to identify youthful populations with SDB, including ASF participants, and implement SDB treatment algorithms, represent important future clinical directives.
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