Compute SAPS-II scores and mortality probability from ICU patient data.
npx skills add https://github.com/hannesill/m4 --skill sapsii-score
Please help me install this Agent Skill. Skill: sapsii-score Source: https://github.com/hannesill/m4/tree/main/src/m4/skills/clinical/sapsii-score Command: npx skills add https://github.com/hannesill/m4 --skill sapsii-score
SAPS-II provides a standardized severity and mortality risk score for ICU patients, turning a complex set of physiologic measurements into a single, comparable metric to support risk stratification and benchmarking.
Run the provided SQL scripts to compute SAPS-II scores from ICU data and retrieve the sapsii and sapsii_prob results.
High-intent search queries and answers about installing and using this skill.
Calculate SAPS-II mortality risk scores by running SQL scripts that process ICU patient data including age, vitals, labs, and comorbidities. The scripts compute component sub-scores for the first ICU day and output the final score alongside an estimated mortality probability.
SAPS-II is used for ICU severity stratification, benchmarking, and cohort matching. It transforms complex physiologic measurements into a standardized mortality risk metric, enabling cross-dataset comparisons and research reporting for intensive care unit patients.
Yes, SAPS-II calculation works with MIMIC-IV by leveraging existing derived tables. The SQL implementation in the scripts integrates with MIMIC-IV to compute component scores and the final mortality probability for ICU patient cohorts.
Computing SAPS-II scores from eICU requires full raw-table calculation and is not yet automated in this Skill. Currently, automated SAPS-II computation is supported for MIMIC-IV through its derived tables, while eICU support remains unavailable.
Estimating ICU mortality risk with SAPS-II requires patient age, vitals, laboratory results, and comorbidities from the first ICU day. These component measurements are processed through SQL scripts to generate the final severity score and mortality probability.
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