Calculate SIRS scores from first-day ICU data for adult datasets.
npx skills add https://github.com/hannesill/m4 --skill sirs-criteria
Please help me install this Agent Skill. Skill: sirs-criteria Source: https://github.com/hannesill/m4/tree/main/src/m4/skills/clinical/sirs-criteria Command: npx skills add https://github.com/hannesill/m4 --skill sirs-criteria
The Systemic Inflammatory Response Syndrome (SIRS) Criteria Calculation provides a dataset-ready method to quantify systemic inflammation in ICU patients, enabling historical sepsis research and comparisons across definitions.
Run the SIRS calculation on your ICU dataset to generate per-stay scores (0-4) and component breakdowns.
High-intent search queries and answers about installing and using this skill.
Calculating the SIRS score in MIMIC-IV involves applying the criteria to first-day ICU data to generate a 0-4 score per stay. It evaluates temperature, heart rate, respiratory rate (handling PaCO2), and WBC with bands when available.
The SIRS criteria quantifies systemic inflammatory response syndrome by scoring four physiological components: temperature, heart rate, respiratory rate, and WBC. It generates a 0-4 score per ICU stay to support historical sepsis research and inflammatory-response analysis.
When computing SIRS scores, missing components are treated as normal unless explicitly null. This imputation rule ensures absent first-day ICU data does not artificially inflate the systemic inflammatory response syndrome score.
Yes, you can compare SIRS-based definitions with Sepsis-3 criteria. The SIRS calculation supports cross-definition comparisons by providing dataset-ready per-stay scores and component breakdowns for historical sepsis research in adult ICU datasets.
The SIRS calculation is optimized for adult ICU datasets like MIMIC-IV and includes notes on eICU availability. It is dataset-agnostic but requires first-day clinical data including temperature, heart rate, respiratory rate, and WBC.
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