Development and external validation of a 90-day mortality prediction model for comatose sepsis patients: impact of cerebrovascular disease and dementia - Scorecard - MDSpire
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Development and external validation of a 90-day mortality prediction model for comatose sepsis patients: impact of cerebrovascular disease and dementia
Clinical Scorecard: Creation and external assessment of a mortality prediction model for comatose sepsis patients over 90 days: the role of cerebrovascular disorders and dementia
At a Glance
Category
Detail
Condition
Comatose sepsis patients
Key Mechanisms
Cerebrovascular disease and dementia modulate GCS prognostic value
Target Population
Comatose sepsis patients with GCS ≤ 8
Care Setting
ICU
Key Highlights
90-day mortality rate of 22.83% in comatose sepsis patients
Independent risk factors include age, base excess, PaO2, BUN, INR, cerebrovascular disease, and dementia
GCS not a significant independent predictor in the final model
Model achieved C-index of 0.81, outperforming SOFA, APACHE II, and SAPS II
External validation confirmed good transportability with C-index of 0.75
Guideline-Based Recommendations
Diagnosis
Utilize Sepsis-3 criteria for diagnosis of sepsis
Management
Consider neurological comorbidities when assessing prognosis in comatose sepsis patients
Monitoring & Follow-up
Regularly assess physiological parameters such as blood gas analysis and lactate levels
Risks
Higher mortality risk associated with cerebrovascular disease and dementia
Patient & Prescribing Data
Comatose sepsis patients aged 18 years or older
Focus on individualized management strategies considering comorbidities
Clinical Best Practices
Incorporate neurological-specific variables in mortality prediction models for comatose patients
Utilize dual-validation methods for assessing prediction model performance
