Assessment of pulmonary arterial compliance evaluated using harmonic oscillator kinematics. (June 2017)

• Record Type: Journal Article
• Authors: Hayabuchi, Yasunobu; Ono, Akemi; Homma, Yukako; Kagami, Shoji
• Is Part Of: Pulmonary circulation. Volume 7:Number 3(2017)
• Page Start: 666
• Page End: 673
• Publication Date: 2017-06
• Subjects: pressure phase plane -- harmonic oscillator -- children; Pulmonary circulation -- Periodicals; Pulmonary circulation; Electronic journals -- Sciences; Periodicals; 616.24005
• DOI: 10.1177/2045893217714781
• Languages: English
• ISSNs: 2045-8932

Abstract

We hypothesized that KPA, a harmonic oscillator kinematics-derived spring constant parameter of the pulmonary artery pressure (PAP) profile, reflects PA compliance in pediatric patients. In this prospective study of 33 children (age range = 0.5–20 years) with various cardiac diseases, we assessed the novel parameter designated as KPA calculated using the pressure phase plane and the equation KPA = (dP/dt_max) 2 /([Pmax – Pmin])/2) 2, where dP/dt_max is the peak derivative of PAP, and Pmax – Pmin is the difference between the minimum and maximum PAP. PA compliance was also calculated using two conventional methods: systolic PA compliance (sPAC) was expressed as the stroke volume/Pmax – Pmin; and diastolic PA compliance (dPAC) was determined according to a two-element Windkessel model of PA diastolic pressure decay. In addition, data were recorded during abdominal compression to determine the influence of preload on KPA . A significant correlation was observed between KPA and sPAC (r = 0.52, P = 0.0018), but not dPAC. Significant correlations were also seen with the time constant (τ) of diastolic PAP (r = −0.51, P = 0.0026) and the pulmonary vascular resistance index (r = −0.39, P = 0.0242). No significant difference in KPA was seen between before and after abdominal compression. KPA had a higher intraclass correlation coefficient than other compliance and resistance parameters for both intra-observer and inter-observer variability (0.998 and 0.997, respectively). These results suggest that KPA can provide insight into the underlying mechanisms and facilitate the quantification of PA compliance.