This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Carlson, B. W. Articles by Neelon, V. J. Search for Related Content PubMed PubMed Citation Articles by Carlson, B. W. Articles by Neelon, V. J. Social Bookmarking                         What's this?

Evaluation of Variables to Characterize Respiratory Periodicity during Sleep in Older Adults

202 Yorktown Drive, Chapel Hill, NC 27516;bcarlson{at}unc.edu

Virginia J. Neelon, PhD, RN

School of Nursing,University of North Carolina at Chapel Hill.

Reliable markers of early neurological decline might guide interventions to prevent or reverse cognitive decline in older adults. Because cognitive decline is associated with hypoxemia during sleep, the authors examined 3 respiratory periodicity variables in 5 older adults. Subjects were monitored overnight using standard polysomnography. From the inductance band signal, the authors calculated the variability in duration of breathing cycles measured by standard deviation of interbreath intervals (sdIBI), frequency of breathing cycles measured by standard deviation of interbreath frequencies (sdIBF), and amplitude of breathing cycles measured by standard deviation of breathing cycle amplitudes (sdAMP). Logistic regression analysis and kappa coefficients identified variables that reliably detected 5-minute segments having central or obstructive apneas or body movements. An sdIBF 4.5 cpm identified body movements (sensitivity= 0.96, specificity = 0.96, kappa = 0.90). An sdIBI > 1.2 seconds identified central apneas (sensitivity = 0.86, specificity = 0.99, kappa= 0.86), and an sdIBI 1.68 seconds identified segments with 3 central apneas (sensitivity = 0.90, specificity = 0.89, kappa = 0.89). An sdAMP 0.1 V and an sdIBF 1.5 cpm identified obstructive apneas (kappa = 0.91). Data support the potential of these variables to identify central and obstructive apneas and to classify individuals according to different patterns of respiratory periodicity.

Key Words: methodology • sleep • breathing • older adults • noninvasive • respiratory periodicity • apnea

Biological Research For Nursing, Vol. 3, No. 4, 176-188 (2002)
DOI: 10.1177/10900402003004003


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?