Killip class¶
A four-class bedside stratification of acute myocardial infarction by clinical severity of heart failure, from no failure signs through pulmonary edema to cardiogenic shock, historically associated with mortality risk.
Core Idea¶
The Killip classification stratifies patients with acute myocardial infarction by bedside evidence of heart failure. Class I has no clinical failure signs; class II includes limited congestion such as lung crackles, an S3, or elevated jugular venous pressure; class III denotes frank pulmonary edema; class IV denotes cardiogenic shock or marked hypotension with impaired peripheral perfusion. Higher class was associated with higher mortality in the original 1967 case series, but those percentages came from 250 patients in one coronary unit, with important design limitations and older treatment. Higher class was associated with higher mortality in the original 1967 case series, but those percentages came from 250 patients in one coronary unit, with important design limitations and older treatment.
Scope of Application¶
Use Killip class with confirmed infarction context, examination time, exact signs, current treatment era, and separate modern risk assessment; keep content nonprocedural. Use Killip class with confirmed infarction context, examination time, exact signs, current treatment era, and separate modern risk assessment; keep content nonprocedural.
- Acute cardiology. Summarizes congestion and shock.
- Emergency medicine. Communicates severity.
- Clinical research. Stratifies study cohorts.
- Risk modeling. Adds a bedside predictor.
- History of cardiology. Interprets the original series.
Clarity¶
Class is ordinal: moving upward means more severe clinical failure, but intervals between classes are not equal. The closest near miss sets the boundary: NYHA functional class is closest in numbering but classifies chronic symptom limitation, not acute post-infarction bedside congestion and shock.
Manages Complexity¶
Signs can change over time and observer agreement is imperfect. Prognostic use should validate calibration in the relevant population and not transplant historical mortality values into present-day counseling. The central fast bedside summary–clinical heterogeneity tradeoff is this: A small ordinal label compresses changing signs. A second historical prognosis–modern care tension matters because The rank persists while absolute mortality changed.
Abstract Reasoning¶
Use three linked moves: establish acute myocardial infarction context; record congestion, pulmonary-edema, pressure, and perfusion signs; assign the highest supported class at a stated time. As a collapse test, the case exits when acute myocardial infarction context or the defining clinical signs are absent. A fourth check is to separate class description from causal diagnosis.
Knowledge Transfer¶
Ordinal bedside severity classification transfers across medicine, but infarction-linked congestion and shock criteria delimit Killip class. The nearest stopping boundary is explicit: NYHA functional class is closest in numbering but classifies chronic symptom limitation, not acute post-infarction bedside congestion and shock. The inclusion test remains: Killip class applies when a patient with acute myocardial infarction is assigned I–IV from the specified clinical heart-failure and shock signs. The structure no longer applies when the case exits when acute myocardial infarction context or the defining clinical signs are absent. No canonical parent prime is currently asserted; broader structural comparisons remain related-prime analogies until separately adjudicated in the DAG. Higher classes historically predict worse outcomes.
Relationships to Other Abstractions¶
Current abstraction Killip class Domain-specific
Parents (1) — more general patterns this builds on
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Killip class is a kind of Classification Prime
Killip class is a strict kind of Classification: its frozen identity entails the parent's defining structure while adding domain-specific restrictions.
Hierarchy path (1) — routes to 1 parentless root
- Killip class → Classification
Neighborhood in Abstraction Space¶
Killip class sits in a sparse region of the domain-specific corpus (70th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Empirical Measurement & Statistical Inference Methods (50 abstractions)
Nearest neighbors
- Czermak–Hering Test — 0.86
- Rapid Shallow Breathing Index — 0.85
- Obesity paradox — 0.83
- Arterial resistivity index — 0.83
- Thrombodynamics Test — 0.83
Computed from structural-signature embeddings · 2026-10-08