Daily Ards Research Analysis
Analyzed 9 papers and selected 3 impactful papers.
Summary
Analyzed 9 papers and selected 3 impactful articles.
Selected Articles
1. EIT-based ventilation phenotypes of left-to-right asymmetry and ventral-to-dorsal center in PEEP titration in ARDS.
In 217 ARDS patients undergoing PEEP titration with EIT monitoring, ventilation phenotypes based on left-right asymmetry (AI) and ventral-dorsal center of ventilation (CoV) were delineated. Transition from asymmetric to symmetric ventilation with higher PEEP was associated with more 28-day ventilator-free days, while persistent asymmetry predicted fewer ventilator-free days.
Impact: Provides an actionable bedside phenotyping strategy linking EIT-derived asymmetry to outcomes during PEEP titration, informing personalized ventilation in ARDS.
Clinical Implications: EIT can guide PEEP titration to reduce left-right asymmetry and optimize recruitability, potentially increasing ventilator-free days. Integrating EIT phenotypes may refine strategies for extrapulmonary vs pulmonary ARDS.
Key Findings
- At low PEEP, 95 patients were asymmetric and 122 symmetric; |AI| differed markedly (36.0% vs 8.0%; p<0.001).
- Among symmetric phenotypes, the ventral (CoV<42.2%) subgroup had higher BMI, more extrapulmonary ARDS, and better lung recruitability than non-ventral.
- Patients who remained asymmetric from low to high PEEP had fewer 28-day ventilator-free days than those who transitioned to symmetry (p=0.009).
Methodological Strengths
- Objective bedside imaging (EIT) with standardized PEEP titration across two ICUs
- Clear, reproducible phenotype definitions using AI and CoV with clinically relevant outcomes (ventilator-free days)
Limitations
- Retrospective design with potential selection and confounding biases; no causal inference
- Generalizability beyond centers with EIT expertise is uncertain; no external validation cohort
Future Directions: Prospective randomized trials testing EIT-guided PEEP strategies to reduce asymmetry and improve patient-centered outcomes; validate phenotypes across ARDS etiologies.
BACKGROUND: Ventilation distribution assessed by electrical impedance tomography (EIT) has great interests in acute respiratory distress syndrome (ARDS). The aim of the study was to explore ARDS phenotypes based on left-right and ventral-dorsal ventilation distribution and to investigate their clinical characteristics and outcomes. METHOD: This retrospective study included ARDS patients from two ICUs who underwent mechanical ventilation and EIT monitoring. Asymmetry index (AI) was defined as the right-to-left ventilation difference in percentage. Based on the AI at low PEEP (0-3 cmH₂O), patients were classified as asymmetric (|AI| > 20%) or symmetric (|AI| ≤ 20%) phenotype. Asymmetric phenotype was divided into right (R, AI > 20%) and left (L, AI < -20%) subphenotypes.
2. Factors associated with oropharyngeal dysphagia 3 months after ICU discharge in patients undergoing invasive mechanical ventilation: A post-hoc analysis of a Brazilian multicenter prospective cohort study.
In a post-hoc analysis of 360 Brazilian ICU survivors requiring invasive ventilation, OD incidence at 3 months post-discharge was 24.17%. Lower educational attainment and higher admission mortality risk increased OD risk, longer ventilation duration modestly increased risk, while an ARDS diagnosis at admission was associated with lower OD risk; OD correlated with worse physical and mental quality of life.
Impact: Establishes the burden and determinants of post-ICU dysphagia after invasive ventilation, informing survivorship care and targeted rehabilitation.
Clinical Implications: Implement routine dysphagia screening around 3 months post-ICU, prioritize patients with longer ventilation and higher admission severity, and integrate swallow therapy to improve quality of life.
Key Findings
- OD incidence at 3 months post-ICU was 24.17% among 360 IMV-treated survivors.
- Risk factors: lower education (aRR per year 0.95; 95% CI 0.92-0.99), higher admission death risk (aRR per 1% 1.99; 95% CI 1.06-3.77), and longer ventilation (aRR per day 1.02; 95% CI 1.01-1.03).
- ARDS diagnosis at ICU admission associated with lower OD risk (aRR 0.21; 95% CI 0.06-0.71); OD linked to worse physical and mental quality-of-life scores.
Methodological Strengths
- Prospective multicenter cohort design with standardized outcome assessment using FOIS and SF-36v2
- Adjusted multivariable analyses controlling for confounders
Limitations
- Post-hoc analysis with telephone-based FOIS may introduce misclassification and recall biases
- Residual confounding and lack of instrumental variables limit causal inference
Future Directions: Interventional trials testing early swallow screening and therapy bundles; external validation across health systems to refine risk stratification.
PURPOSE: To evaluate the incidence and factors associated with oropharyngeal dysphagia (OD) three months after intensive care unit (ICU) discharge in patients who underwent invasive mechanical ventilation (IMV). METHODS: This was a post-hoc analysis of a prospective multicenter cohort study conducted across ten clinical-surgical ICUs in Brazil. Adult survivors (age > 18 years) with ICU stays ≥72 h and who needed IMV were included. The primary outcome was the incidence of OD, assessed by the Functional Oral Intake Scale (FOIS) during structured telephone interviews. Secondary outcomes included quality of life, measured by the Short Form Health Survey version 2, and rehospitalization. RESULTS: Among 360 patients, the incidence of OD 3 months after ICU discharge was 24.17%. Educational attainment (adjusted risk ratio [aRR] per 1 year increase, 0.95; 95% confidence interval [CI] 0.92-0.99), risk of death at ICU admission (aRR per 1% increase, 1.99; 95% CI, 1.06-3.77), acute respiratory distress syndrome [ARDS] diagnosis at ICU admission (aRR, 0.21; 95% CI, 0.06-0.71), and length of mechanical ventilation (aRR per 1 day increase, 1.02; 95%CI, 1.01-1.03) were associated with OD.
3. Identification and Immune Cell Profiling of Exosome-related Genes in Acute Respiratory Distress Syndrome: An Integrated Bioinformatics Analysis.
Integrated analysis of two public datasets identified 21 exosome-related DEGs in ARDS blood, enriched in endothelial development and apoptosis pathways. Four hub genes (PI3, EEF1A1, ANAPC1, PSMD2) emerged, with PSMD2 most differentially expressed, and immune profiling revealed shifts in nine immune cell populations.
Impact: First systematic identification of exosome-related gene signatures and immune shifts in ARDS, highlighting potential therapeutic and biomarker targets.
Clinical Implications: While preclinical, hub genes and immune patterns may inform biomarker development and targeted therapies focused on endothelial injury and immune dysregulation in ARDS.
Key Findings
- Identified 21 exosome-related DEGs in ARDS blood, enriched in endothelial development and apoptosis.
- Four hub genes (PI3, EEF1A1, ANAPC1, PSMD2) were strongly associated with ARDS; PSMD2 showed the largest differential expression.
- Immune infiltration analysis showed significant differences in nine immune cell populations between ARDS and controls.
Methodological Strengths
- Use of two independent public datasets with multiple complementary bioinformatics pipelines (GO/KEGG, STRING PPI, ssGSEA)
- Focus on exosome-related genes adds mechanistic specificity to ARDS pathobiology
Limitations
- Lack of external validation and wet-lab functional experiments limits causal inference and translational readiness
- Whole-blood signatures may not fully reflect lung compartment biology; ARDS etiologic heterogeneity not stratified
Future Directions: Validate hub genes in independent cohorts and lung compartments (BAL/tissue), and perform functional studies to test exosome-mediated mechanisms and druggability.
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a life-threatening condition associated with high mortality and morbidity. However, targeted therapies that effectively improve patient outcomes remain limited. Exosomes play pivotal roles in intercellular communication and epigenetic regulation. OBJECTIVE: This study aimed to identify exosome-related differentially expressed genes (EXORDEGs) in whole blood associated with ARDS and to explore their potential mechanistic roles in the disease. METHODS: Two gene expression datasets (GSE32707 and GSE66890) were retrieved from the Gene Expression Omnibus for comprehensive bioinformatics analysis. Analytical approaches included Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses, protein-protein interaction network construction using the STRING database, and immune infiltration profiling via single-sample gene set enrichment analysis in relation to hub genes.