Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies - Scorecard - MDSpire
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Clinical subphenotypes of sepsis based on mixed continuous and categorical data and differences in treatment effects: a cluster analysis of multicenter observational studies
Clinical Scorecard: Identification of Clinical Subphenotypes in Sepsis Through Mixed Data Analysis and Treatment Response Variability: A Cluster Analysis from Multicenter Observational Research
At a Glance
Category
Detail
Condition
Sepsis and septic shock
Key Mechanisms
Heterogeneity in clinical characteristics and treatment responses among sepsis patients; use of mixed data clustering to identify subphenotypes
Target Population
Patients aged ≥16 years admitted to ICUs with severe sepsis or septic shock
Care Setting
Intensive Care Units (ICUs) in multicenter hospital settings
Key Highlights
Sepsis is a heterogeneous syndrome with diverse clinical subphenotypes affecting treatment response.
Mixed data clustering methods incorporating categorical and continuous variables can classify sepsis subphenotypes.
Treatment effectiveness varies among subphenotypes, highlighting the need for precision medicine approaches.
Guideline-Based Recommendations
Diagnosis
Use clinical and biomarker data including demographics, vital signs, organ failure indicators, and coagulation markers for subphenotype classification.
Apply mixed data clustering methods to incorporate both categorical and continuous clinical variables.
Management
Initiate standard sepsis bundle treatments within one hour: fluid resuscitation, early appropriate antimicrobials, and vasopressors for septic shock.
Consider adjunctive therapies such as corticosteroids, polymyxin B hemoperfusion, recombinant thrombomodulin, antithrombin III, immunoglobulin G, and vasopressin with clinical judgment due to weak guideline recommendations.
Monitoring & Follow-up
Monitor clinical variables at ICU admission including SOFA score components, inflammatory markers, coagulation parameters, and organ function indicators.
Assess treatment response variability across identified subphenotypes to guide ongoing management.
Risks
Adjunctive therapies lack conclusive evidence and may carry risks; use should be individualized based on subphenotype and clinical judgment.
Heterogeneity in sepsis patients may lead to variable outcomes if treatments are not tailored.
Patient & Prescribing Data
ICU patients with severe sepsis or septic shock enrolled in multicenter registries in Japan
Six adjunctive therapies commonly used but weakly recommended show variable effectiveness across subphenotypes; no single therapy conclusively improves outcomes in all patients.
Clinical Best Practices
Incorporate mixed data clustering techniques to identify clinically relevant sepsis subphenotypes.
Use comprehensive clinical variables at ICU admission for patient stratification.
Apply precision medicine principles by tailoring adjunctive therapies to subphenotype-specific treatment responses.
Continue standard sepsis bundle interventions promptly while considering adjunctive therapies on a case-by-case basis.
Recognize the limitations of current evidence and rely on clinical judgment when using weakly recommended treatments.