TY - JOUR
T1 - Association between dynamic digital radiography findings and post-extubation respiratory deterioration
T2 - A retrospective exploratory analysis of a prospectively collected ICU cohort
AU - Komatsu, Satoshi
AU - Nishida, Kazuki
AU - Hara, Yoshitaka
AU - Kuriyama, Naohide
AU - Nakamura, Tomoyuki
N1 - Publisher Copyright:
© 2026 Komatsu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2026/6
Y1 - 2026/6
N2 - Introduction Dynamic Digital Radiography (DDR) is a novel bedside imaging modality that enables real-time visualization of pulmonary motion with minimal radiation exposure. We evaluated whether DDR-derived parameters could assist in stratifying the risk of post-extubation respiratory deterioration in ICU patients. Methods We analyzed a prospectively collected, single-center cohort of consecutive adults extubated after invasive mechanical ventilation between December 2024 and February 2025 (n=56). Bedside DDR was performed immediately before and within 24 hours after extubation; respiratory deterioration was defined as any increase in oxygen supplementation before ICU discharge. We used logistic regression to address the initial objectives and added exploratory machine learning to explore predictive performance, with interpretability assessed using Shapley additive explanations (SHAP). Results While no significant differences were found in directly measured DDR values between groups, age and pre-extubation respiratory rate differed significantly between patients with and without respiratory deterioration. In logistic regression analysis, post-extubation lung-area excursion was not significantly associated with respiratory deterioration after adjustment for age. In exploratory XGBoost/SHAP analysis, age, post-extubation respiratory rate, and post-extubation lung-area excursion showed relatively large model-based contributions, but these findings were interpreted as exploratory feature contributions rather than evidence of independent statistical association. Conclusions In this exploratory ICU cohort, DDR-derived post-extubation lung-area excursion was not independently associated with respiratory deterioration after adjustment for age, but it showed a relatively large model-based contribution in exploratory XGBoost/ SHAP analysis. DDR-derived dynamic information may provide complementary, hypothesis-generating information for post-extubation assessment. Larger prospective studies with external validation are required before DDR-derived indices can be considered clinically validated predictors.
AB - Introduction Dynamic Digital Radiography (DDR) is a novel bedside imaging modality that enables real-time visualization of pulmonary motion with minimal radiation exposure. We evaluated whether DDR-derived parameters could assist in stratifying the risk of post-extubation respiratory deterioration in ICU patients. Methods We analyzed a prospectively collected, single-center cohort of consecutive adults extubated after invasive mechanical ventilation between December 2024 and February 2025 (n=56). Bedside DDR was performed immediately before and within 24 hours after extubation; respiratory deterioration was defined as any increase in oxygen supplementation before ICU discharge. We used logistic regression to address the initial objectives and added exploratory machine learning to explore predictive performance, with interpretability assessed using Shapley additive explanations (SHAP). Results While no significant differences were found in directly measured DDR values between groups, age and pre-extubation respiratory rate differed significantly between patients with and without respiratory deterioration. In logistic regression analysis, post-extubation lung-area excursion was not significantly associated with respiratory deterioration after adjustment for age. In exploratory XGBoost/SHAP analysis, age, post-extubation respiratory rate, and post-extubation lung-area excursion showed relatively large model-based contributions, but these findings were interpreted as exploratory feature contributions rather than evidence of independent statistical association. Conclusions In this exploratory ICU cohort, DDR-derived post-extubation lung-area excursion was not independently associated with respiratory deterioration after adjustment for age, but it showed a relatively large model-based contribution in exploratory XGBoost/ SHAP analysis. DDR-derived dynamic information may provide complementary, hypothesis-generating information for post-extubation assessment. Larger prospective studies with external validation are required before DDR-derived indices can be considered clinically validated predictors.
UR - https://www.scopus.com/pages/publications/105042876375
UR - https://www.scopus.com/pages/publications/105042876375#tab=citedBy
U2 - 10.1371/journal.pone.0352029
DO - 10.1371/journal.pone.0352029
M3 - Article
C2 - 42329910
AN - SCOPUS:105042876375
SN - 1932-6203
VL - 21
JO - PloS one
JF - PloS one
IS - 6 June
M1 - e0352029
ER -