• Comparative Med · Jun 2015

    Validation of Respiratory Inductance Plethysmography for Measuring Tidal Volume in Swine.

    • Zhenbo Su, Jun Oto, Jingwen Wang, William R Kimball, Christopher T Chenelle, Robert M Kacmarek, David R King, Yandong Jiang, and Michael J Duggan.
    • Department of Anesthesia, China-Japan Union Hospital of Jilin University, Changchun, China, Departments of Anesthesia, Critical Care, Pain Medicine, and Respiratory Care Services, Massachusetts General Hospital, Boston, Massachusetts.
    • Comparative Med. 2015 Jun 1; 65 (3): 225-31.

    AbstractMeasuring tidal volume (VT) in nonintubated swine or swine with leaking breathing circuits is challenging. The aim of this study was to validate respiratory inductance plethysmography (RIP) for measuring VT in swine that are comparable in size to adult humans. To determine calibration curves, VT and RIP readings were obtained from anesthetized swine (n = 8; weight, 46-50 kg) during positive-pressure (mechanical) ventilation and spontaneous breathing. For positive-pressure ventilation, 6 pigs were mechanically ventilated by using the pressure-control mode. The 2 pigs in the spontaneously breathing cohort each received a single intravenous bolus dose of propofol to abolish spontaneous breathing; VT was measured during gradual return of their respiratory drive. A flow-volume sensor was placed between the proximal end of the endotracheal tube and breathing circuit for the recording of inspiratory and expiratory VT. RIP readings were recorded by using 2 bands, which simultaneously measured ribcage and abdominal excursions. The data revealed that VT was linearly correlated with the movements of both ribcage and abdomen as measured by using plethysmography over a large range of tidal volume (44 to 1065 mL). In addition, the intercept of the linear equation was small or even negative during spontaneous breathing but increased significantly (maximum, 145 mL, 59.2 ± 35.1 mL) during positive pressure ventilation. Our results indicate that VT in swine can be calculated by using a simple univariate linear regression equation with RIP readings obtained during either mechanical ventilation or spontaneous breathing.

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