Biomaterial Database

Estimating central and peripheral respiratory resistance. 1978

R L Pimmel, and M J Tsai, and D C Winter, and P A Bromberg

An analytic approach for fractionating total respiratory resistance into central (Rc) and peripheral (Rp) components is presented. In the analysis, linear regression equations relating the logarithm of the measured total resistance to the logarithm of frequency are derived for data spanning the frequency range 1-16 Hz. The computed slope and intercept are used to obtain estimates of the fraction of the resistance in the periphery (Fp) and of Rp and Rc. Data from anesthetized, closed-chested dogs in a control state and with an external resistor (1.37 cmH2O.1-1.s) were used to test the approach. Mean values +/- SE's for control data were: Fp = 0.400 +/- 0.039, Rp = 1.37 +/- 0.16 cm H2O.1-1.s, and Rc = 1.98 +/- 0.10 cmH2O.1-1.s. Mean values of Rp obtained with and without added resistance were not significantly different (P less than 0.1). The increase in the mean values of Rc represented 85% of the value of the added resistance but was significantly different from the known value of the external resistance (P less than 0.05). These data suggest that it may be possible to fractionate total respiratory resistance into central and peripheral components using the frequency dependence of forced oscillatory resistance.

UI	MeSH Term	Description	Entries
D008168	Lung	Either of the pair of organs occupying the cavity of the thorax that effect the aeration of the blood.	Lungs
D008954	Models, Biological	Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.	Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D004285	Dogs	The domestic dog, Canis familiaris, comprising about 400 breeds, of the carnivore family CANIDAE. They are worldwide in distribution and live in association with people. (Walker's Mammals of the World, 5th ed, p1065)	Canis familiaris,Dog
D000403	Airway Resistance	Physiologically, the opposition to flow of air caused by the forces of friction. As a part of pulmonary function testing, it is the ratio of driving pressure to the rate of air flow.	Airway Resistances,Resistance, Airway,Resistances, Airway
D000818	Animals	Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA.	Animal,Metazoa,Animalia

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