Airway resistance estimation by best fit analysis in very premature infants
Airway resistance estimation by best fit analysis in very premature infants
Plethysmographic measurement of airway resistance (R(aw)) has been determined by single-point analysis, usually at 50% of maximum inspiratory flow (MIF). Computer-assisted (best fit) analysis, however, allows R(aw) to be calculated by applying a regression line to any portion of the plethysmograph pressure-flow loop. We determined whether the results of best fit analysis using a computer program, sampling at 200 Hz, were influenced by the portion of the inspiratory loop analysed and if best fit or single-point analysis gave more reproducible results. Twenty infants of median gestational age 26 (range 24-28) weeks, were studied at a median age of 12 (12-14) months corrected for prematurity. R(aw) was calculated by best fit analysis between 0 and 33% MIF, 0 and 50% MIF and 0 and 67% MIF and single-point analysis at 50% of MIF. Similar mean R(aw) values were obtained by best fit analysis between 0 and 33% MIF (2.79 kPa/(l/s)) and 0 and 50% MIF (3.01 kPa/(l/s)) and single-point analysis at 50% MIF (2.86 kPa/(l/s)), but best fit analysis between 0 and 67% gave higher results (3.60 kPa/(l/s)), p < 0.0001. Within the linear portion of the inspiratory loop, the mean intrasubject coefficient of variation was lowest for best fit analysis between 0 and 50% MIF. Best fit computerized analysis between 0 and 50% MIF is recommended as the analysis of choice.
infant, plethysmography, diseases, london, gestational age, software, prematurity, lung diseases, newborn, premature
279-285
Thomas, M.
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Greenough, A.
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Blowes, R.
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Rafferty, G.F.
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Calvert, S.
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Marlow, N.
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Peacock, J.L.
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Milner, A.D.
da715bc1-9e74-4053-bdad-9046eff6c326
7 February 2002
Thomas, M.
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Greenough, A.
8008d870-d219-4ebd-921b-c61d90573b98
Blowes, R.
96480103-6735-4247-85fc-db679412ec21
Rafferty, G.F.
37d10b07-9ae8-4029-9657-8599d057d1b7
Calvert, S.
db77fcc0-ff18-4116-921f-a50e34503e9f
Marlow, N.
c48e77d7-b764-4416-b868-2b78f7124c78
Peacock, J.L.
8362b3b1-458f-4152-936f-344ca1c7e0ba
Milner, A.D.
da715bc1-9e74-4053-bdad-9046eff6c326
Thomas, M., Greenough, A., Blowes, R., Rafferty, G.F., Calvert, S., Marlow, N., Peacock, J.L. and Milner, A.D.
(2002)
Airway resistance estimation by best fit analysis in very premature infants.
Physiological Measurement, 23 (2), .
(doi:10.1088/0967-3334/23/2/304).
Abstract
Plethysmographic measurement of airway resistance (R(aw)) has been determined by single-point analysis, usually at 50% of maximum inspiratory flow (MIF). Computer-assisted (best fit) analysis, however, allows R(aw) to be calculated by applying a regression line to any portion of the plethysmograph pressure-flow loop. We determined whether the results of best fit analysis using a computer program, sampling at 200 Hz, were influenced by the portion of the inspiratory loop analysed and if best fit or single-point analysis gave more reproducible results. Twenty infants of median gestational age 26 (range 24-28) weeks, were studied at a median age of 12 (12-14) months corrected for prematurity. R(aw) was calculated by best fit analysis between 0 and 33% MIF, 0 and 50% MIF and 0 and 67% MIF and single-point analysis at 50% of MIF. Similar mean R(aw) values were obtained by best fit analysis between 0 and 33% MIF (2.79 kPa/(l/s)) and 0 and 50% MIF (3.01 kPa/(l/s)) and single-point analysis at 50% MIF (2.86 kPa/(l/s)), but best fit analysis between 0 and 67% gave higher results (3.60 kPa/(l/s)), p < 0.0001. Within the linear portion of the inspiratory loop, the mean intrasubject coefficient of variation was lowest for best fit analysis between 0 and 50% MIF. Best fit computerized analysis between 0 and 50% MIF is recommended as the analysis of choice.
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Published date: 7 February 2002
Keywords:
infant, plethysmography, diseases, london, gestational age, software, prematurity, lung diseases, newborn, premature
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Local EPrints ID: 62156
URI: http://eprints.soton.ac.uk/id/eprint/62156
ISSN: 0967-3334
PURE UUID: 22a712a6-dd38-42b4-bbaf-99ee97347faa
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Date deposited: 10 Sep 2008
Last modified: 15 Mar 2024 11:29
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Author:
M. Thomas
Author:
A. Greenough
Author:
R. Blowes
Author:
G.F. Rafferty
Author:
S. Calvert
Author:
N. Marlow
Author:
J.L. Peacock
Author:
A.D. Milner
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