Calculate KDIGO AKI stages from creatinine and urine output time-series data.
npx skills add https://github.com/hannesill/m4 --skill kdigo-aki-staging
Please help me install this Agent Skill. Skill: kdigo-aki-staging Source: https://github.com/hannesill/m4/tree/main/src/m4/skills/clinical/kdigo-aki-staging Command: npx skills add https://github.com/hannesill/m4 --skill kdigo-aki-staging
KDIGO AKI staging requires integrating creatinine changes and urine output to consistently identify and grade AKI in ICU patients, enabling standardized research and monitoring.
Load patient creatinine and urine output data to compute KDIGO AKI stages across time.
High-intent search queries and answers about installing and using this skill.
To calculate KDIGO AKI stages, this Skill processes time-series ICU data by defining baseline creatinine as the lowest value in the past 7 days, computing 48-hour acute changes, applying urine-output thresholds, and incorporating CRRT status to assign a stage.
For KDIGO AKI staging, baseline creatinine is defined as the lowest creatinine value recorded in the past 7 days. This baseline-aware approach ensures accurate detection of acute kidney injury changes over time.
KDIGO AKI staging integrates urine output by applying specific volume thresholds over time, while also incorporating a CRRT flag for advanced cases, combining these multi-criteria with creatinine changes to determine the final stage.
Yes, this Skill is designed for nephrology research, renal outcome studies, and ICU renal function monitoring, producing research-ready per-charttime stages and a smoothed 6-hour window stage for stability.
A smoothed 6-hour window, producing the aki_stage_smoothed output, is used to stabilize AKI stage calculations in ICU time-series data, preventing rapid fluctuation between stages due to transient creatinine or urine output spikes.
Yes, KDIGO AKI staging requires computing 48-hour acute creatinine changes relative to the 7-day baseline. This acute change calculation is essential for accurately identifying and grading AKI stages in ICU patients.
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