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Short Operation Time: An Important Element to Reduce Operative Invasiveness in Pediatric Cardiac Surgery Makoto Ando, MD, Yukihiro Takahashi, MD, Toshio Kikuchi, MD The Annals of Thoracic Surgery Volume 80, Issue 2, Pages (August 2005) DOI: /j.athoracsur Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions
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Fig 1 Operation time in each patient subgroup. Each bar shows the simple linear regression line. Numbers indicate the intercept point of the line at each end of the study period. The regression equation for each subgroup was as follows: Y = 66.4−0.28X (ASD < 10 kg), Y = 105.5−0.14X (ASD 10–30 kg), Y = 146.3−0.182X (ASD > 30 kg), Y = 85.7−0.035X (VSD < 5 kg), Y = 92.8−0.059X (VSD 5–10 kg), Y = 98.7−0.059X (VSD 10–30 kg), Y = 104.0−0.005X (VSD > 30 kg), where Y = operation time (minutes) and X = chronological number of operation. (ASD = atrial septal defect: VSD = ventricular septal defect.) The Annals of Thoracic Surgery , DOI: ( /j.athoracsur ) Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions
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Fig 2 Parameters of postoperative recovery plotted against operation time. Linear regression equation, correlation coefficient, and p values are shown in the right upper portion of each graph. Each bar shows the regression line. (A) Time to extubation. (B) ICU stay. (C) Catecholamine duration. (D) Hospital stay. (ICU = intensive care unit; R = Pearson’s product-moment correlation coefficient; Y = values of the response variables to be predicted.) The Annals of Thoracic Surgery , DOI: ( /j.athoracsur ) Copyright © 2005 The Society of Thoracic Surgeons Terms and Conditions
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