Clinical Scorecard: Reevaluating Subphenotyping in ARDS: Viewing the Condition as a Continuous Spectrum Rather Than a Binary Classification

At a Glance

Key Highlights

• ARDS is characterized by acute onset of tachypnoea, hypoxaemia, and reduced lung compliance.
• Subphenotypes of ARDS include hyperinflammatory and hypoinflammatory groups with distinct prognostic differences.
• Dynamic changes in inflammatory phenotype may provide important prognostic information.
• Real-time bedside subphenotyping remains challenging but is being addressed with parsimonious classifier algorithms.
• Binary classification may overlook meaningful within-group heterogeneity.

Guideline-Based Recommendations

Diagnosis

• Utilize high-flow nasal oxygen, SpO2/FiO2 thresholds, chest CT, and lung ultrasound for ARDS diagnosis.

Management

• Consider heterogeneity of treatment effects in fluid management, corticosteroids, and ventilatory strategies.

Monitoring & Follow-up

• Implement longitudinal monitoring of inflammatory subphenotypes for better prognostication.

Risks

• Binary classification may exclude high-risk patients from beneficial therapies.

Patient & Prescribing Data

Patients diagnosed with ARDS or AHRF within 72 hours of ICU admission.

Dynamic subphenotyping may enhance risk stratification and treatment personalization.

Clinical Best Practices

• Employ parsimonious biomarker models for real-time stratification of ARDS subphenotypes.
• Monitor patients longitudinally to capture dynamic changes in inflammatory profiles.

Related Resources & Content

• Intensive Care Medicine