Office-Based Spirometry: A New Model of Care in Preoperative Assessment for Low- Risk Lung Resections Jessica L. Hudson, MD, MPHS, Jennifer M. Bell, BSN, Traves D. Crabtree, MD, Daniel Kreisel, MD, PhD, G. Alexander Patterson, MD, Bryan F. Meyers, MD, MPH, Varun Puri, MD, MSCI The Annals of Thoracic Surgery Volume 105, Issue 1, Pages 279-286 (January 2018) DOI: 10.1016/j.athoracsur.2017.08.010 Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions
Fig 1 Inclusion schema and resultant pairs after propensity score matching. (FEV1 = forced expiratory volume in 1 second; LS = laboratory spirometry; OS = office spirometry; PFT = pulmonary function test; Preop = preoperative.) The Annals of Thoracic Surgery 2018 105, 279-286DOI: (10.1016/j.athoracsur.2017.08.010) Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions
Fig 2 Distribution of propensity score (A) before and (B) after matching office spirometry and laboratory spirometry patients. Purple represents the propensity scores for office spirometry while orange represents the propensity scores of laboratory spirometry. The region of overlapping propensity scores is therefore displayed as pink. The Annals of Thoracic Surgery 2018 105, 279-286DOI: (10.1016/j.athoracsur.2017.08.010) Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions
Fig 3 Standardized differences before and after propensity score matching for variables included in the propensity score logistic regression model. Blue dashed vertical lines represent the limits, ±10%, outside of which standardized differences indicate imbalance. (ASA = American Society of Anesthesiologists; FEV1 = forced expiratory volume in 1 second; FVC = forced vital capacity.) The Annals of Thoracic Surgery 2018 105, 279-286DOI: (10.1016/j.athoracsur.2017.08.010) Copyright © 2018 The Society of Thoracic Surgeons Terms and Conditions