ARE AGE AND HEIGHT BASED SPIROMETRY PREDICTION EQUATIONS APPROPRIATE FOR TRANSPLANT ATHLETES? 1187

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Excerpt

A convenience sample of 126 (93.7% Caucasian, 2.4% Hispanic, 2.4% Black,& 1.6% Asian) individuals with kidney (KT), heart (HT), liver (VT), lung(LT), or other transplant (OT) (e.g. bone marrow, pancreas, or multiple transplants) competing in the National Transplant Games performed pulmonary function tests to determine lung function. Transplant athletes consisted of 77 males (age=46.7±11.6 yrs., ht.=69.4±2.7 in., wt.=178.0±29.5 lbs.) and 49 females (age=44.3±10.2 yrs., ht.=64.2±4.1 in., wt.=136.7±26.0 lbs.). The total transplant population tested compared favorably with predicted norms: FVC (103.9, 101.6), FEV1 (101.9, 99.1), FEV1/FVC (99.3, 96.5), & FEF25-75% (106.7, 97.5). Values are expressed as percent of predicted norms for males and females respectively. Transplant type was used to further categorize the population (Table 1). It appears from the subject population with the exception of LT and potentially HT, which may be biased by low subject number, age and height based spirometry prediction equations for a normal population seem appropriate for transplant athletes.
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