NCDR CathPCI Risk Calculator

Clinical calculation support · Verify results before clinical use

Pre-procedural patient characteristics

Enter the patient's clinical profile to estimate three separate PCI-related outcomes using published NCDR CathPCI bedside scores.

—Outcomes

Shared clinical variables

Age (years)

Estimated GFR (mL/min/1.73 m²)

Use the pre-procedure eGFR.

Maintenance dialysis before PCI

The updated AKI model excluded patients already receiving dialysis.

Clinical status / PCI urgency

Cardiac arrest status (mortality / AKI score)

Sex (for bleeding score)

Body mass index (kg/m²)

Hemoglobin (g/dL)

Clinical presentation

Previous PCI

Cardiac arrest within 24 hours (bleeding score)

Cardiogenic shock (bleeding score)

PCI status (bleeding score)

Chronic kidney disease category (bleeding score)

Hypertension

Diabetes mellitus

Severe frailty

History of heart failure

Concomitant additional procedure

Risk estimates

Results update when all required inputs for the respective model are provided.

In-hospital mortality

—

Enter required variables

2021 CathPCI Registry bedside score

Major bleeding

—

Enter required variables

2013 NCDR CathPCI bleeding score; event within 72 hours

Acute kidney injury

—

Enter required variables

2023 updated bedside AKI score

Complete the relevant fields to calculate each outcome. A missing input will not be treated as a negative finding.

About the NCDR CathPCI risk models

This page presents three distinct published bedside risk scores for patients undergoing percutaneous coronary intervention (PCI). They estimate different outcomes and should not be interpreted as a single composite score.

Model scope and outcome definitions

In-hospital mortality: the 2021 CathPCI Registry model was developed using 706,263 PCIs from July 2018 to June 2019. The simplified bedside score uses age, CKD stage, clinical instability and cardiac-arrest responsiveness.
Major bleeding: the 2013 NCDR score predicts major bleeding within 72 hours after PCI. The registry definition includes a hemoglobin decrease of at least 3 g/dL, transfusion, or intervention to stop/correct bleeding.
AKI: the updated 2023 bedside model predicts post-PCI AKI. In the study, AKI was defined as a serum creatinine increase of ≥0.3 mg/dL or ≥50% from baseline. The derivation used 2020 PCI data and excluded patients already receiving dialysis or without post-procedure creatinine data.

Interpretation and limitations

These bedside point scores are simplified models, not the full NCDR risk-adjustment equations. The mortality model's full risk model and the registry's institutional benchmarking software are distinct from this bedside score. The bleeding score is based on an older registry era; the AKI score is a more contemporary update. Calibration may differ across countries, hospitals, procedural practices and patient populations.

Clinical instability categories must be classified using the source registry definitions. This calculator does not replace formal NCDR data definitions, clinical judgement, or local validation.

Scoring inputs

Outcome	Key score inputs	Reported performance
Mortality	Age, eGFR/CKD stage, clinical instability, cardiac arrest response	C-index 0.923 (bedside score); 0.943 (full model)
Bleeding	STEMI, age, BMI, previous PCI, CKD, shock, arrest, sex, hemoglobin, PCI status	Full model discrimination reported as good; bedside score 10 variables
AKI	Age, hypertension, hemoglobin, diabetes, frailty, HF, additional procedure, arrest, CKD, ACS, instability	C-statistic 0.798 for updated full AKI model

References

Castro-Dominguez YS, Wang Y, Minges KE, et al.Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention. J Am Coll Cardiol. 2021;78(3):216–229. DOI: 10.1016/j.jacc.2021.04.067. doi.org/10.1016/j.jacc.2021.04.067

American College of Cardiology / NCDR.Official supporting publication PDF: Predicting In-Hospital Mortality in Patients Undergoing PCI (2021).

Rao SV, McCoy LA, Spertus JA, et al.An updated bleeding model to predict the risk of post-procedure bleeding among patients undergoing PCI. JACC Cardiovasc Interv. 2013;6(9):897–904. DOI: 10.1016/j.jcin.2013.04.016. doi.org/10.1016/j.jcin.2013.04.016

Uzendu AI, Kennedy KF, Chertow G, et al.Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention. JACC Cardiovasc Interv. 2023;16:2294–2305. DOI: 10.1016/j.jcin.2023.07.041. doi.org/10.1016/j.jcin.2023.07.041

Clinical disclaimer: This calculator provides estimates from published bedside prediction scores and is intended for clinician reference. It is not the official NCDR CathPCI Registry software and does not reproduce the full proprietary risk-adjustment models. Estimates are not a substitute for clinical assessment, shared decision-making, registry data definitions, or local validation. Do not use the displayed estimates as the sole basis for treatment decisions.