A proposed optimization model of respiratory control successfully predicts ventilatory responses during hypercapnia and exercise, highlighting the role of respiratory-mechanical factors.
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Model fits in healthy subjects support further optimization modeling; leaves open validation in clinical populations.
A model of the respiratory control system incorporating both chemical and respiratory neuromechanical feedbacks is proposed to describe the steady-state ventilatory responses to CO2 inhalation and exercise. It is postulated that ventilatory output (VE) is set by the respiratory center to minimize a net operating cost representing the conflicting challenges of arterial chemical imbalance and respiratory-mechanical discomfort (intolerance of effort), given, respectively, by a quadratic function of arterial PCO2 and a logarithmic function of VE. In addition, the system is assumed to be mechanically limited at maximum VE (Vmax). The predicted responses in VE during moderate hypercapnia, exercise, and ventilatory loading closely mimic those normally observed, even though no separate signal unique to exercise is assumed. As a quantitative validation, the model yielded good fits to ventilatory response data obtained in eight healthy subjects during eucapnic and hypercapnic exercise; the predicted Vmax averaged approximately 77% of the maximum voluntary ventilation in all subjects. The results demonstrate the plausibility of the proposed optimization mechanism and suggest an important role for respiratory-mechanical factors in the control of VE.
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Chi‐Sang Poon (1987) studied this question.
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