Evidence map›Paper›PMID 41268273›Full record

ArticleAmerican journal of translational research2025

Functional residual capacity and elastic power as prognostic markers in acute respiratory distress syndrome.

Di Zhang, Longxian Wang, Haoneng Shang, Xiaodong Li, Bo Xu, Jianing Gong, Zhansheng Hu, Haiyan Fu

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Article in American journal of translational research, 2025. 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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5 · Who and what money

Authors and funding

8 authors.

Di ZhangDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Longxian WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Haoneng ShangDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Xiaodong LiDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Bo XuDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Jianing GongDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Zhansheng HuDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.
Haiyan FuDepartment of Critical Care Medicine, The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121000, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine if functional residual capacity (FRC) and elastic power (EP) could predict outcomes in patients with acute respiratory distress syndrome (ARDS).

methodsThis retrospective study included 353 ARDS patients admitted to our hospital between 2018 and 2025. Patients were categorized into good (n=251) and poor (n=102) prognosis groups based on their 28-day outcomes. FRC was measured using nitrogen washout, and EP was calculated using the formula: 0.098 × VT × RR × ½(PEEP + Pplat). After comparing these parameters between groups, multivariate regression and ROC analyses were performed to identify predictors. We validated our findings in an external cohort of 101 patients.

resultsPoor outcome patients had significantly lower FRC and higher EP (both P<0.001). A positive correlation between EP and mortality was observed (rho=0.298, P<0.001), while FRC showed a significant inverse relationship (rho=-0.177, P<0.001). Multivariate analysis confirmed that EP (OR=1.251, P<0.001), FRC (OR=0.956, P=0.039), ARDS severity (OR=8.421, P<0.001), and PEEP (OR=1.338, P=0.011) were independent predictors of outcomes. A predictive model combining FRC and EP showed strong performance, with an AUC of 0.809 in internal validation and 0.819 in the external cohort. EP alone exhibited a high specificity of 0.944 at a cutoff value of 21.535 J/min.

conclusionsARDS patients with low FRC and high EP face an increased risk of mortality. Combining these measures enhances prognostic accuracy and can help tailor ventilation strategies for improved outcomes.

Indexed as

Acute respiratory distress syndromeelastic powerfunctional residual capacitylung mechanicsmechanical ventilationprognosis

Identifiers

PMID41268273
PMCPMC12628222

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