Calculate hourly SOFA scores from ICU data across six organ systems.
npx skills add https://github.com/hannesill/m4 --skill sofa-score
Please help me install this Agent Skill. Skill: sofa-score Source: https://github.com/hannesill/m4/tree/main/src/m4/skills/clinical/sofa-score Command: npx skills add https://github.com/hannesill/m4 --skill sofa-score
SOFA scoring quantifies organ dysfunction over time in ICU patients, enabling sepsis evaluation and prognosis.
Run the sofa.sql script against the MIMIC-derived ICU data to generate hourly SOFA scores.
High-intent search queries and answers about installing and using this skill.
Calculate SOFA scores by running the sofa.sql script against MIMIC-derived ICU data to generate hourly organ dysfunction measurements across six organ systems. The script processes arterial blood gases, labs, vitals, and vasopressor data to output time-resolved sofa_24hours scores.
The SOFA score calculation handles missing ICU data by imputing it as zero. It resolves respiratory scores by distinguishing between ventilated and non-ventilated PaO2/FiO2 data, ensuring accurate organ dysfunction quantification even with incomplete patient records.
Yes, this SOFA scoring approach supports sepsis-3 criteria assessment, mortality risk stratification, and cross-patient comparisons. It calculates time-resolved organ dysfunction using a 24-hour rolling window aggregation, enabling longitudinal sepsis evaluation and prognosis research.
You need MIMIC-derived ICU data containing arterial blood gases, labs, vitals, and vasopressor information. The sofa.sql script runs against this relational data to compute hourly SOFA scores, requiring no additional dependencies beyond a SQL environment.
Quantify organ dysfunction over time by applying a 24-hour rolling window aggregation to hourly ICU data. This produces standardized sofa_24hours scores across six organ systems, enabling reliable cross-patient comparisons and sepsis severity tracking.
SOFA score calculation resolves respiratory dysfunction by separating vent vs non-vent PaO2/FiO2 data. If your ICU data does not distinguish ventilated status, the respiratory component may be inaccurate. Ensure your input data includes ventilation indicators for correct scoring.
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