Literature DB >> 28698266

Spirometry, Static Lung Volumes, and Diffusing Capacity.

Carlos A Vaz Fragoso1, Hilary C Cain2, Richard Casaburi3, Patty J Lee2, Lynne Iannone2, Linda S Leo-Summers4, Peter H Van Ness4.   

Abstract

BACKGROUND: Spirometric Z-scores from the Global Lung Initiative (GLI) rigorously account for age-related changes in lung function and are thus age-appropriate when establishing spirometric impairments, including a restrictive pattern and air-flow obstruction. However, GLI-defined spirometric impairments have not yet been evaluated regarding associations with static lung volumes (total lung capacity [TLC], functional residual capacity [FRC], and residual volume [RV]) and gas exchange (diffusing capacity).
METHODS: We performed a retrospective review of pulmonary function tests in subjects ≥40 y old (mean age 64.6 y), including pre-bronchodilator measures for: spirometry (n = 2,586), static lung volumes by helium dilution with inspiratory capacity maneuver (n = 2,586), and hemoglobin-adjusted single-breath diffusing capacity (n = 2,508). Using multivariable linear regression, adjusted least-squares means (adjLSMeans) were calculated for TLC, FRC, RV, and hemoglobin-adjusted single-breath diffusing capacity. The adjLSMeans were expressed with and without height-cubed standardization and stratified by GLI-defined spirometry, including normal (n = 1,251), restrictive pattern (n = 663), and air-flow obstruction (mild, [n = 128]; moderate, [n = 150]; and severe, [n = 394]).
RESULTS: Relative to normal spirometry, restrictive-pattern had lower adjLSMeans for TLC, FRC, RV, and hemoglobin-adjusted single-breath diffusing capacity (P ≤ .001). Conversely, relative to normal spirometry, mild, moderate, and severe air-flow obstruction had higher adjLSMeans for FRC and RV (P < .001). However, only mild and moderate air-flow obstruction had higher adjLSMeans for TLC (P < .001), while only moderate and severe air-flow obstruction had higher adjLSMeans for RV/TLC (P < .001) and lower adjLSMeans for hemoglobin-adjusted single-breath diffusing capacity (P < .001). Notably, TLC (calculated as FRC + inspiratory capacity) was not increased in severe air-flow obstruction (P ≥ .11) because inspiratory capacity decreased with increasing air-flow obstruction (P < .001), thus opposing the increased FRC (P < .001). Finally, P values were similar whether adjLSMeans were height-cubed standardized.
CONCLUSIONS: A GLI-defined spirometric restrictive pattern is strongly associated with a restrictive ventilatory defect (decreased TLC, FRC, and RV), while GLI-defined spirometric air-flow obstruction is strongly associated with hyperinflation (increased FRC) and air trapping (increased RV and RV/TLC). Both spirometric impairments were strongly associated with impaired gas exchange (decreased hemoglobin-adjusted single-breath diffusing capacity).
Copyright © 2017 by Daedalus Enterprises.

Entities:  

Keywords:  Global Lung Initiative; air trapping; diffusing capacity; hyperinflation; restriction; spirometry; static lung volumes

Mesh:

Year:  2017        PMID: 28698266      PMCID: PMC6373859          DOI: 10.4187/respcare.05515

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  47 in total

1.  How accurate is spirometry at predicting restrictive pulmonary impairment?

Authors:  S D Aaron; R E Dales; P Cardinal
Journal:  Chest       Date:  1999-03       Impact factor: 9.410

Review 2.  Standardisation of the measurement of lung volumes.

Authors:  J Wanger; J L Clausen; A Coates; O F Pedersen; V Brusasco; F Burgos; R Casaburi; R Crapo; P Enright; C P M van der Grinten; P Gustafsson; J Hankinson; R Jensen; D Johnson; N Macintyre; R McKay; M R Miller; D Navajas; R Pellegrino; G Viegi
Journal:  Eur Respir J       Date:  2005-09       Impact factor: 16.671

3.  Standardisation of spirometry.

Authors:  M R Miller; J Hankinson; V Brusasco; F Burgos; R Casaburi; A Coates; R Crapo; P Enright; C P M van der Grinten; P Gustafsson; R Jensen; D C Johnson; N MacIntyre; R McKay; D Navajas; O F Pedersen; R Pellegrino; G Viegi; J Wanger
Journal:  Eur Respir J       Date:  2005-08       Impact factor: 16.671

4.  Lung function and risk of myocardial infarction and sudden cardiac death.

Authors:  G D Friedman; A L Klatsky; A B Siegelaub
Journal:  N Engl J Med       Date:  1976-05-13       Impact factor: 91.245

Review 5.  Clinical use of bone densitometry: scientific review.

Authors:  Steven R Cummings; David Bates; Dennis M Black
Journal:  JAMA       Date:  2002-10-16       Impact factor: 56.272

6.  Respiratory muscle strength and the risk of incident cardiovascular events.

Authors:  J van der Palen; T D Rea; T A Manolio; T Lumley; A B Newman; R P Tracy; P L Enright; B M Psaty
Journal:  Thorax       Date:  2004-12       Impact factor: 9.139

7.  Effect of lung volume reduction surgery on diaphragmatic neuromechanical coupling at 2 years.

Authors:  Franco Laghi; Amal Jubran; Arzu Topeli; Patrick J Fahey; Edward R Garrity; Donald J de Pinto; Martin J Tobin
Journal:  Chest       Date:  2004-06       Impact factor: 9.410

8.  A spirometry-based algorithm to direct lung function testing in the pulmonary function laboratory.

Authors:  Christine A Glady; Shawn D Aaron; Mary Lunau; Jennifer Clinch; Robert E Dales
Journal:  Chest       Date:  2003-06       Impact factor: 9.410

9.  Pulmonary function in primary pulmonary hypertension.

Authors:  Xing-Guo Sun; James E Hansen; Ronald J Oudiz; Karlman Wasserman
Journal:  J Am Coll Cardiol       Date:  2003-03-19       Impact factor: 24.094

10.  Thoracic kyphosis and ventilatory dysfunction in unselected older persons: an epidemiological study in Dicomano, Italy.

Authors:  Mauro Di Bari; Melisenda Chiarlone; Daniela Matteuzzi; Simona Zacchei; Claudia Pozzi; Vincenzo Bellia; Francesca Tarantini; Riccardo Pini; Giulio Masotti; Niccoló Marchionni
Journal:  J Am Geriatr Soc       Date:  2004-06       Impact factor: 5.562

View more
  9 in total

1.  Re-evaluation of the Uplift Clinical Trial Using Age-Appropriate Spirometric Criteria.

Authors:  Carlos A Vaz Fragoso; Linda S Leo-Summers; Thomas M Gill; Gail J McAvay
Journal:  Chest       Date:  2020-04-09       Impact factor: 9.410

2.  Spirometric Criteria for Chronic Obstructive Pulmonary Disease in Clinical Trials of Pharmacotherapy.

Authors:  Carlos A Vaz Fragoso; Thomas M Gill; Linda S Leo-Summers; Peter H Van Ness
Journal:  COPD       Date:  2018-02       Impact factor: 2.409

3.  Re-evaluation of combination therapy in chronic obstructive pulmonary disease (COPD).

Authors:  Carlos A Vaz Fragoso; Thomas M Gill; Linda S Leo-Summers; Peter H Van Ness
Journal:  Respir Med       Date:  2019-03-29       Impact factor: 3.415

4.  Prediction of air trapping or pulmonary hyperinflation by forced spirometry in COPD patients: results from COSYCONET.

Authors:  Peter Alter; Jan Orszag; Christina Kellerer; Kathrin Kahnert; Tim Speicher; Henrik Watz; Robert Bals; Tobias Welte; Claus F Vogelmeier; Rudolf A Jörres
Journal:  ERJ Open Res       Date:  2020-07-27

5.  Spirometric impairments, cardiovascular outcomes, and noncardiovascular death in older persons.

Authors:  Carlos A Vaz Fragoso; Peter H Van Ness; Terrence E Murphy; Gail J McAvay
Journal:  Respir Med       Date:  2018-02-27       Impact factor: 3.415

6.  FEV1 as a Standalone Spirometric Predictor and the Attributable Fraction for Death in Older Persons.

Authors:  Carlos A Vaz Fragoso; Peter H Van Ness; Gail J McAvay
Journal:  Respir Care       Date:  2019-10-29       Impact factor: 2.258

7.  Diffusing capacity in normal-for-age spirometry and spirometric impairments, using reference equations from the global lung function initiative.

Authors:  Carlos A Vaz Fragoso; Carolyn L Rochester; Gail J McAvay; Lynne Iannone; Linda S Leo-Summers
Journal:  Respir Med       Date:  2020-05-21       Impact factor: 3.415

8.  Investigating the relationships among lung function variables in chronic obstructive pulmonary disease in men.

Authors:  Ming-Lung Chuang; I-Feng Lin
Journal:  PeerJ       Date:  2019-10-01       Impact factor: 2.984

9.  Physiological Network From Anthropometric and Blood Test Biomarkers.

Authors:  Antonio Barajas-Martínez; Elizabeth Ibarra-Coronado; Martha Patricia Sierra-Vargas; Ivette Cruz-Bautista; Paloma Almeda-Valdes; Carlos A Aguilar-Salinas; Ruben Fossion; Christopher R Stephens; Claudia Vargas-Domínguez; Octavio Gamaliel Atzatzi-Aguilar; Yazmín Debray-García; Rogelio García-Torrentera; Karen Bobadilla; María Augusta Naranjo Meneses; Dulce Abril Mena Orozco; César Ernesto Lam-Chung; Vania Martínez Garcés; Octavio A Lecona; Arlex O Marín-García; Alejandro Frank; Ana Leonor Rivera
Journal:  Front Physiol       Date:  2021-01-12       Impact factor: 4.566

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.