Loading...
Printed on 6/5/2026
For informational purposes only. This is not medical advice.
The Charlson Comorbidity Index (CCI) is a weighted comorbidity score originally developed to estimate long-term mortality risk associated with chronic disease burden. It is widely used in clinical research, inpatient risk stratification, and outcome-adjusted care planning.
Formula: CCI is the sum of weighted comorbidity points plus age points.
Create an account to save calculations, favorite tools, and access your dashboard anytime.
Already have an account? Sign in
Higher CCI totals indicate higher systemic disease burden and reduced physiologic reserve.
Use for baseline risk characterization, outcomes discussions, and risk-adjusted comparisons in clinical and research settings.
CCI is not diagnosis-specific and may not capture acute physiologic severity or nuances of modern therapy response.
For related assessments, see ASA Class, ECOG Status and Clinical Frailty Scale.
Disclaimer: This tool is for educational and informational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider with questions about your health.
April 21, 2026 · trust-baseline
Clinical trust metadata enabled for this tool page with structured review/version fields.
Classify preoperative physical status using the ASA I–VI system for anesthetic risk stratification. ASA III+ indicates significant systemic disease requiring special perioperative planning and precautions.
OncologyClassify cancer patient performance status using the ECOG 0–5 scale. ECOG 0–1: eligible for standard chemotherapy. ECOG 2: limited self-care. ECOG 3+: significantly impaired, clinical trial caution.
GeriatricsAssess frailty using the Rockwood Clinical Frailty Scale (CFS 1–9): Very Fit to Terminally Ill. Used for hospice eligibility, prognostication, ICU triage, surgical risk stratification, and goals-of-care discussions.
SurgeryEstimate perioperative major cardiac event risk for non-cardiac surgery using the 6-factor Lee RCRI model.