Logo

OpiCalc

FavoritesSpecialtiesDrugsGuidelinesMost Used

Quick Access

Favorites
Most Used

All Specialties

OpiCalc Logo
Clinical CalculatorsDrugsGuidelines
SpecsDrugsGuides
ABC-AF Bleeding ScoreABC-AF Stroke ScoreABCD2 ScoreADD-RSAortic Valve Calcium ScoreAPPLE ScoreASCVD (Pooled Cohort)AVA (Continuity Equation)BAG-AHF ScoreBiplane Simpson EFBlood Pressure PercentilesBrugada Criteria (VT vs SVT)Cardiac Output IndexCHA2DS2-VAScCHADS2Cornell Voltage CriteriaCRUSADE Bleeding ScoreDAPT ScoreDASIDuke Treadmill ScoreE/A RatioEDACS ScoreEHMRGEHRA ScoreEmbolic Risk ScoreEROA (PISA Method)FFR (Fractional Flow Reserve)Fick Cardiac OutputFramingham 10-Year RiskFriedewald LDL EquationGorlin EquationGRACE ScoreGupta MICA (NSQIP)GWTG-HF ScoreH2FPEF ScoreHakki FormulaHAS-BLEDHEART PathwayHEART ScoreHEMORR2HAGEShs-Troponin 0h/1h ESC AlgorithmiFRINTERCHEST ScoreKillip ClassificationLee's RCRILV Mass IndexLV Stroke Work IndexMAGGIC Risk ScoreMAP CalculatorMartin/Hopkins LDLModified Duke CriteriaModified Sgarbossa CriteriaMVA (Pressure Half-Time)Non-HDL CholesterolNT-proBNP Age-Adjusted ThresholdsORBIT ScoreOttawa Heart Failure RiskPREVENT EquationsPulse PressurePVR CalculatorPVR IndexQRISK3QTc (Bazett)QTc (Fridericia)REVEAL 2.0 ScoreREVEAL Lite 2Reynolds Risk ScoreROSIRVSP CalculatorSchwartz Score (LQTS)SCORE2Seattle Heart Failure Model (SHFM)Sgarbossa CriteriaShock IndexSokolow-Lyon VoltageStroke Volume IndexSVR CalculatorSYNTAX ScoreSYNTAX Score IITAPSETeichholz FormulaTIMI (STEMI)TIMI (UA/NSTEMI)Troponin Delta CalculatorValvular GradientsVancouver Chest Pain RuleVereckei AlgorithmWATCHDM ScoreWilkins ScoreWood Units Calculator
OpiCalc Logo

OpiCalc

Easy, fast, and private medical tools for clinicians. Always free.

No Login Required
Ready for the Bedside

Resources

About UsEditorial PolicyMedical DisclaimerPrivacy PolicyTerms of UseCookie Policy

Support

Contact Us

Clinical Notice:OpiCalc is not a substitute for professional clinical judgment. Always verify dosages and guidelines.

OpiCalc © 2026

•

All Rights Reserved

Killip Classification

Killip Classification: Stratifies risk of in-hospital mortality in patients with acute myocardial infarction based on clinical signs of heart failure.

Guidelines & Evidence

Verified

Last Review: 2026-07-17

When to Use

When to Use

Routinely in the initial assessment of patients presenting with acute myocardial infarction (AMI)
To rapidly stratify risk of 30-day and in-hospital mortality based purely on bedside clinical signs
To guide intensity of care (e.g., CCU admission vs. step-down unit)

Populations

Originally validated in the pre-reperfusion era (1967), but repeatedly validated in the modern era of primary PCI and potent antithrombotic therapy. Even though overall mortality rates have fallen, the predictive gradient across the four classes remains robust.

How it Works

Classification Logic

01
Class I: Individuals with no clinical signs of heart failure. Typical mortality 6% (historical), now 2-3% in modern PCI eras.
02
Class II: Individuals with rales or crackles in the lungs, an S3 gallop, and elevated jugular venous pressure. Lung findings limited to the lower half of the lung fields. Typical mortality 17% (historical), now ~5-8%.
03
Class III: Individuals with frank acute pulmonary edema. Typical mortality 38% (historical), now ~10-15%.
04
Class IV: Individuals in cardiogenic shock or hypotension (systolic blood pressure < 90 mmHg), and evidence of peripheral vasoconstriction (oliguria, cyanosis or diaphoresis). Typical mortality 81% (historical), but remains extremely high today even with advanced MCS/ECMO (~40-50%).

Clinical Pearls

Subjectivity and Interobserver Reliability

The Killip classification is highly dependent on bedside physical examination skills, which have poor-to-moderate interobserver reliability among modern clinicians, especially for Class II vs Class III distinction. An S3 gallop can be difficult to auscultate in a noisy ED or CCU environment.

Integration with other scores

Because of its strong predictive power, the Killip class is incorporated directly into the GRACE score. A patient in Killip Class IV automatically receives a massive bump in their 6-month expected mortality in the GRACE model.

The Evidence

Original Publication

Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients.

Killip T 3rd et al. • Am J Cardiol.. 1967;20(4):457-64. The landmark paper establishing the classification system.

Modern Validation

Predictive value of the Killip classification in patients undergoing primary percutaneous coronary intervention for acute myocardial infarction.

DeGeare VS et al. • Am J Cardiol.. 2001;87(9):1035-8. Confirmed that Killip classification remains a powerful independent predictor of mortality in the primary PCI era.

Next Steps

Complementary Calculators

GRACE Score
TIMI Risk Score for STEMI
TIMI Risk Score for UA/NSTEMI
SVR Calculator

Last Comprehensive Review: 2026-07-17

Guidelines & Evidence

Verified

Last Review: 2026-07-17

When to Use

When to Use

Routinely in the initial assessment of patients presenting with acute myocardial infarction (AMI)
To rapidly stratify risk of 30-day and in-hospital mortality based purely on bedside clinical signs
To guide intensity of care (e.g., CCU admission vs. step-down unit)

Populations

Originally validated in the pre-reperfusion era (1967), but repeatedly validated in the modern era of primary PCI and potent antithrombotic therapy. Even though overall mortality rates have fallen, the predictive gradient across the four classes remains robust.

How it Works

Classification Logic

01
Class I: Individuals with no clinical signs of heart failure. Typical mortality 6% (historical), now 2-3% in modern PCI eras.
02
Class II: Individuals with rales or crackles in the lungs, an S3 gallop, and elevated jugular venous pressure. Lung findings limited to the lower half of the lung fields. Typical mortality 17% (historical), now ~5-8%.
03
Class III: Individuals with frank acute pulmonary edema. Typical mortality 38% (historical), now ~10-15%.
04
Class IV: Individuals in cardiogenic shock or hypotension (systolic blood pressure < 90 mmHg), and evidence of peripheral vasoconstriction (oliguria, cyanosis or diaphoresis). Typical mortality 81% (historical), but remains extremely high today even with advanced MCS/ECMO (~40-50%).

Clinical Pearls

Subjectivity and Interobserver Reliability

The Killip classification is highly dependent on bedside physical examination skills, which have poor-to-moderate interobserver reliability among modern clinicians, especially for Class II vs Class III distinction. An S3 gallop can be difficult to auscultate in a noisy ED or CCU environment.

Integration with other scores

Because of its strong predictive power, the Killip class is incorporated directly into the GRACE score. A patient in Killip Class IV automatically receives a massive bump in their 6-month expected mortality in the GRACE model.

The Evidence

Original Publication

Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients.

Killip T 3rd et al. • Am J Cardiol.. 1967;20(4):457-64. The landmark paper establishing the classification system.

Modern Validation

Predictive value of the Killip classification in patients undergoing primary percutaneous coronary intervention for acute myocardial infarction.

DeGeare VS et al. • Am J Cardiol.. 2001;87(9):1035-8. Confirmed that Killip classification remains a powerful independent predictor of mortality in the primary PCI era.

Next Steps

Complementary Calculators

GRACE Score
TIMI Risk Score for STEMI
TIMI Risk Score for UA/NSTEMI
SVR Calculator

Last Comprehensive Review: 2026-07-17

Recent Journal Updates

JAMAJul 21, 2026
Correction to Primary Composite Outcome in a Trial of Transfusion Strategy

Clinical Context

We think this has broad domain relevance to Killip Classification.

JAMAJul 21, 2026
National Trends in Patient Messaging

Clinical Context

We think this has broad domain relevance to Killip Classification.

PLOS MedicineJul 13, 2026
Self-explaining artificial intelligence for the classification of B cell non-Hodgkin lymphoma: A diagnostic decision support study

Clinical Context

We think this might be relevant to the clinical guidance for Killip Classification.