Fig. 1
Risk prediction nomogram of logistic regression. Nomogram constructed to predict prolonged mechanical ventilation in lung transplant recipients after surgery. The included variables were cold ischemia time, ventilation parameters at T0 (including peak inspiratory pressure, tidal volume, dynamic compliance and oxygenation index), and PGD grade at T0. The full point density and risk density plots show their distribution. For category variables, their distribution is reflected by the size of the box. Rank the importance of each variable according to the standard deviation on the Nomogram scale. When using the Nomogram image, specific points (black spots) for each patient are located on each variable axis. Draw lines to determine the points received by each variable; The sum of these points is placed on the total point line and a line drawn down the risk line to obtain the total predicted risk of prolonged ventilation after surgery. CIT, cold ischemia time; PGDT0, primary graft dysfunction at T0; BMI, body mass index; Cydn, dynamic compliance; PIP, peak inspiratory pressure; PAH pulmonary hypertension; IPF, idiopathic pulmonary fibrosis