Cognitive function and assessment of lung function in the elderly

Am J Respir Crit Care Med. 1995 Nov;152(5 Pt 1):1611-5. doi: 10.1164/ajrccm.152.5.7582303.

Abstract

The feasibility of spirometry or respiratory impedance measurements for assessing lung function in the elderly was compared in 208 institutionalized patients with various degrees of cognitive function impairment. Respiratory impedance was determined by the forced oscillation technique. Cognitive function was assessed by the score for the mini-mental state (MMS) examination. Of the 208 patients, 126 had severe cognitive impairment (MMS < or = 17), 36 had mild impairment (18 < or = MMS < or = 23), and 46 had no impairment (MMS > or = 24). Of the 208 patients, respiratory impedance measurements were possible in 159, whereas in only 85 was spirometry possible. The overall difference between the feasibility rates for the spirometric and respiratory impedance measurements was highly significant (chi 2 = 71.4; p < 10(-6)). The difference between the feasibility rates for the two techniques was higher in the group of subjects with severe cognitive impairment than in the groups with mild impairment and no impairment, respectively. Among the 84 patients able to complete both tests, significant correlations were found between the spirometric and respiratory impedance measurements. These results indicate that respiratory impedance measurement seems a more useful tool than spirometry for assessing lung function in elderly patients whenever cognitive function is impaired.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Cognition / physiology*
  • Cognition Disorders / physiopathology
  • Confidence Intervals
  • Feasibility Studies
  • Female
  • Humans
  • Likelihood Functions
  • Logistic Models
  • Lung / physiology*
  • Male
  • Psychological Tests / statistics & numerical data
  • Respiratory Function Tests / methods
  • Respiratory Function Tests / statistics & numerical data