Prevalence of Supranormal Pulmonary Function Test Values Between a Military and Nonmilitary Cohort

Cochet, Anthony; Lucero, Pedro F.; Zacher, Lisa L.; Morris, Michael J.

doi:10.4187/respcare.02112

Cited by 5 publications

(5 citation statements)

References 22 publications

(25 reference statements)

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“…14 Supranormal spirometry was defined as an FEV 1 or FVC Ͼ 110% predicted. 15 Impulse oscillometry was also conducted as part of the evaluation before and after deployment. Oscillatory resistance was obtained by using system software (MasterScreen IOS Impulse Oscillometry, Vyaire Medical, San Diego, California).…”

Section: What This Paper Contributes To Our Knowledgementioning

confidence: 99%

Study of Active Duty Military Personnel for Environmental Deployment Exposures: Pre- and Post-Deployment Spirometry (STAMPEDE II)

et al. 2019

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BACKGROUND: There is significant concern about the respiratory health of deployed military service members given the reported airborne hazards in southwest Asia, which range from geologic dusts, burn pit emissions, chemical exposures, and increased rates of smoking. There has been no previous comparison of pre-and post-deployment lung function in these individuals. METHODS: Military personnel who deployed to southwest Asia in support of ongoing military operations were recruited from the Soldier Readiness Processing Center at Fort Hood, Texas, from 2011 to 2014. The participants were asked to complete a brief survey on their respiratory health and perform both spirometry and impulse oscillometry studies at baseline with repeated survey and testing after deployment. RESULTS: Of the 1,693 deployed personnel who completed baseline examinations, 843 (50%) completed post-deployment testing. Post-deployment values demonstrated no statistical or clinical change in spirometry, with an increase in mean ؎ SD FEV 1 (% predicted) from 95.2 ؎ 12.6 to 96.1 ؎ 12.4 (P ‫؍‬ .14), increase in mean ؎ SD FVC (% predicted) from 95.9 ؎ 11.8 to 96.4 ؎ 11.9 (P ‫؍‬ .32), and increase in mean ؎ SD FEV 1 /FVC from 81.5 ؎ 5.9 to 81.8 ؎ 6.1 (P ‫؍‬ .29). Impulse oscillometry values showed statistical improvement with reduction in resistance (at 5 Hz and 20 Hz) and reactance (at 5 Hz). The presence of pre-deployment obstruction, self-reported asthma, smoking history, or increased body mass index also did not change spirometry values after deployment. DISCUSSION: To our knowledge, this was the first prospective evaluation of deploying military by using spirometry as an indicator for the possible development of pulmonary disease related to environmental exposures. Pre-deployment testing with spirometry and impulse oscillometry was unable to detect any significant change. In those with abnormal spirometry pre-deployment or asthma history, there was also not identifiable change that indicated worsening lung function. CONCLUSIONS: Utilization of spirometry for the deploying military population had little benefit and did not identify individuals with lung disease after deployment. Routine use was not warranted before or after deployment in the absence of pulmonary symptoms.

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Section: What This Paper Contributes To Our Knowledgementioning

confidence: 99%

Study of Active Duty Military Personnel for Environmental Deployment Exposures: Pre- and Post-Deployment Spirometry (STAMPEDE II)

et al. 2019

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“…In swimmers, a relatively higher pulmonary function was associated with increases in the chest wall width and muscle strength [19,20]. Cochet et al [21] found that 5.5% of all patients had either a FEV 1 or FVC > 110% of the predicted value, whereas 1.5% of the patients had an FEV 1 or FVC > 120% of the predicted value; furthermore, the proportion of patients with supranormal lung function did not differ significantly between active duty military personnel and a non-active duty population of the same age range. However, even these studies did not mention patients with unusually high PFT results (≥ 140% of the predicted value), and only one suggestion was made to re-check the calibration and demographic data in such cases [5].…”

Section: Discussionmentioning

confidence: 99%

Analysis of high predicted pulmonary function: possibility of overestimation in small elderly examinees

Chang

Kim

et al. 2020

Korean J Intern Med

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Background/Aims: Few studies have attempted to interpret unusually high predicted pulmonary function test results. This study aimed to investigate the demographic features of patients with an unusually high predicted pulmonary function. Methods: The demographic data of subjects who underwent pulmonary function testing at a tertiary referral hospital during between January 2011 and December 2011 were retrospectively reviewed. Results: Of the 68,693 included patients, 55 (0.08%) had a percent predicted forced expiratory volume in 1 second or forced vital capacity ≥ 140%. These patients had a relatively older median age (72 years vs. 54 years, p < 0.001), female predominance (65.5% vs. 42.5%, p = 0.001), lower body weight (52.5 kg vs. 64.5 kg, p < 0.001) and shorter height (148.4 cm vs. 164.2 cm, p < 0.001). Furthermore, 6.1% of women older than 80 years with weight < 50 kg and height < 150 cm had a high predicted pulmonary function. Conclusions: A high predicted pulmonary function is not rare among elderly subjects with a small body size. Physicians should consider the demographics of the examinees, especially those of minority populations, particularly as the test results might be determined using an incorrect reference equation.

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“…The presence of obstructive LFI was considered when the FEV 1 /FVC ratio was <0.70 (13,17,19). For statistical purposes and subsequent analysis, subjects who did not meet the criteria for LFI and who also had FVC >100% of predicted were defined as "supra-normal" (20). At the time of examination, none of the subjects had a previous history of significant pulmonary disease.…”

Section: Methodsmentioning

confidence: 99%

Lung function impairment is not associated with the severity of acute coronary syndrome but is associated with a shorter stay in the coronary care unit

et al. 2018

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Prevalence of Supranormal Pulmonary Function Test Values Between a Military and Nonmilitary Cohort

Cited by 5 publications

References 22 publications

Study of Active Duty Military Personnel for Environmental Deployment Exposures: Pre- and Post-Deployment Spirometry (STAMPEDE II)

Study of Active Duty Military Personnel for Environmental Deployment Exposures: Pre- and Post-Deployment Spirometry (STAMPEDE II)

Analysis of high predicted pulmonary function: possibility of overestimation in small elderly examinees

Lung function impairment is not associated with the severity of acute coronary syndrome but is associated with a shorter stay in the coronary care unit

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