Literature DB >> 24488567

Best lung function equations for the very elderly selected by survival analysis.

Martin R Miller1, Mikael Thinggaard, Kaare Christensen, Ole F Pedersen, Torben Sigsgaard.   

Abstract

We evaluated which equations best predicted the lung function of a cohort of nonagenarians based on which best accounted for subsequent survival. In 1998, we measured lung function, grip strength and dementia score (Mini Mental State Examination (MMSE)) in a population-based sample of 2262 Danes born in 1905. Mortality was registered to 2011 when only five (0.2%) subjects were alive. In half the cohort, we recorded forced expiratory volume in 1 s (FEV1). Complete data were available in 592 subjects with results expressed as standardised residuals (SR) using various prediction equations. Cox proportional hazard regression found lower FEV1SR was a predictor of mortality having controlled for MMSE, grip strength and sex. The US National Health and Nutrition Examination Survey (NHANES) III (1999) equations gave a better spread of median survival by FEV1SR quartile: 3.94, 3.65, 3.51 and 2.61 years with a hazard ratio for death of 1, 1.16, 1.32 and 1.60 respectively, compared with equations derived with the inclusion of elderly subjects. We conclude that extrapolating from NHANES III equations to predict lung function in nonagenarians gave better survival predictions from spirometry than when employing equations derived using very elderly subjects with possible selection bias. These findings can help inform how future lung function equations for the elderly are derived.

Entities:  

Mesh:

Year:  2014        PMID: 24488567      PMCID: PMC4226937          DOI: 10.1183/09031936.00100313

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  30 in total

1.  Trends in causes of death among the elderly.

Authors:  N R Sahyoun; H Lentzner; D Hoyert; K N Robinson
Journal:  Aging Trends       Date:  2001-03

2.  Validation of lung function prediction equations from patient survival data.

Authors:  Helen Ward; Brendan Cooper; Martin R Miller
Journal:  Eur Respir J       Date:  2011-10-17       Impact factor: 16.671

3.  Lung function as a predictor of survival in very elderly people: the Danish 1905 cohort study.

Authors:  Peter K Jacobsen; Torben Sigsgaard; Ole F Pedersen; Kaare Christensen; Martin R Miller
Journal:  J Am Geriatr Soc       Date:  2008-11       Impact factor: 5.562

4.  Spirometric reference values from a sample of the general U.S. population.

Authors:  J L Hankinson; J R Odencrantz; K B Fedan
Journal:  Am J Respir Crit Care Med       Date:  1999-01       Impact factor: 21.405

5.  Estimation of ventilatory capacity in subjects with unacceptable lung function tests.

Authors:  E A Eisen; J M Robins
Journal:  Int J Epidemiol       Date:  1986-09       Impact factor: 7.196

6.  Predictors of mortality in the adult population of Tecumseh.

Authors:  M W Higgins; J B Keller
Journal:  Arch Environ Health       Date:  1970-09

7.  Pulmonary function: relation to aging, cigarette habit, and mortality.

Authors:  F Ashley; W B Kannel; P D Sorlie; R Masson
Journal:  Ann Intern Med       Date:  1975-06       Impact factor: 25.391

8.  Optimum expression of adult lung function based on all-cause mortality: results from the Reykjavik study.

Authors:  S Chinn; T Gislason; T Aspelund; V Gudnason
Journal:  Respir Med       Date:  2006-08-04       Impact factor: 3.415

9.  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

10.  Predictors of mortality in 2,249 nonagenarians--the Danish 1905-Cohort Survey.

Authors:  Hanne Nybo; Hans Chr Petersen; David Gaist; Bernard Jeune; Kjeld Andersen; Matt McGue; James W Vaupel; Kaare Christensen
Journal:  J Am Geriatr Soc       Date:  2003-10       Impact factor: 5.562

View more
  5 in total

1.  ARTP statement on pulmonary function testing 2020.

Authors:  Karl Peter Sylvester; Nigel Clayton; Ian Cliff; Michael Hepple; Adrian Kendrick; Jane Kirkby; Martin Miller; Alan Moore; Gerrard Francis Rafferty; Liam O'Reilly; Joanna Shakespeare; Laurie Smith; Trefor Watts; Martyn Bucknall; Keith Butterfield
Journal:  BMJ Open Respir Res       Date:  2020-07

2.  Impaired lung function and mortality in Eastern Europe: results from multi-centre cohort study.

Authors:  Tatyana Sarycheva; Nadezda Capkova; Andrzej Pająk; Sofia Malyutina; Galina Simonova; Abdonas Tamosiunas; Martin Bobák; Hynek Pikhart
Journal:  Respir Res       Date:  2022-05-31

Review 3.  The Global Lung Function Initiative (GLI) Network: bringing the world's respiratory reference values together.

Authors:  Brendan G Cooper; Janet Stocks; Graham L Hall; Bruce Culver; Irene Steenbruggen; Kim W Carter; Bruce Robert Thompson; Brian L Graham; Martin R Miller; Gregg Ruppel; John Henderson; Carlos A Vaz Fragoso; Sanja Stanojevic
Journal:  Breathe (Sheff)       Date:  2017-09

4.  All-cause and cardiovascular mortality in relation to lung function in the full range of distribution across four Eastern European cohorts.

Authors:  Tatyana Sarycheva; Nadezda Capkova; Andrzej Pająk; Sofia Malyutina; Abdonas Tamosiunas; Martin Bobák; Hynek Pikhart
Journal:  Sci Rep       Date:  2022-07-28       Impact factor: 4.996

5.  Applicability of the Global Lung Initiative 2012 Reference Values for Spirometry for Longitudinal Data of Elderly Women.

Authors:  Anke Hüls; Ursula Krämer; Sabine Stolz; Frauke Hennig; Barbara Hoffmann; Katja Ickstadt; Andrea Vierkötter; Tamara Schikowski
Journal:  PLoS One       Date:  2016-06-16       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.