Evidence map›Paper›PMID 42329910›Full record

ArticlePloS one2026

Association between dynamic digital radiography findings and post-extubation respiratory deterioration: A retrospective exploratory analysis of a prospectively collected ICU cohort.

Satoshi Komatsu, Kazuki Nishida, Yoshitaka Hara, Naohide Kuriyama, Tomoyuki Nakamura

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Satoshi KomatsuDepartment of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Aichi, Japan.ORCID https://orcid.org/0009-0002-9713-5763
Kazuki NishidaDepartment of Biostatistics, Kyoto University School of Public Health, Kyoto‌‌, Japan.
Yoshitaka HaraDepartment of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Aichi, Japan.
Naohide KuriyamaDepartment of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Aichi, Japan.
Tomoyuki NakamuraDepartment of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDynamic 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.

methodsWe 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).

resultsWhile 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.

conclusionsIn 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.

Indexed as

Airway ExtubationLungAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesRespiration, ArtificialRetrospective Studies

Identifiers

PMID42329910
PMCPMC13286171

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