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Killip class

The Killip class is a bedside clinical system developed in 1967 by cardiologists Thomas Killip III and John T. Kimball to assess the severity of in patients hospitalized with acute (AMI), stratifying them into four categories based on findings of pulmonary congestion, , or both, with the goal of predicting short-term mortality and guiding management in coronary care units.

Classification Criteria

The system relies on simple, non-invasive clinical signs observed upon admission, without requiring laboratory tests or imaging, making it particularly valuable in resource-limited settings.

Prognostic Significance

Originally derived from a cohort of 250 AMI patients treated in a university hospital , the Killip class demonstrated a strong with in-hospital mortality, ranging from approximately 6% in Class I to over 80% in Class IV, underscoring the progression from uncomplicated to life-threatening complications. Despite advances in and , the classification remains a robust, independent predictor of adverse outcomes, including 30-day and long-term mortality, in contemporary populations with ST-segment elevation (STEMI). For instance, in a 2020 institutional study of 485 STEMI patients, in-hospital mortality escalated dramatically from 9.9% in Class I to 100% in Class IV, validating its utility for early risk stratification even in low-resource environments. Higher classes are associated with older age, greater comorbidity burden (such as or prior ), and larger infarct sizes, further emphasizing the system's role in identifying high-risk subgroups for intensified and .

Background and Development

Historical Context

In the mid-20th century, acute (AMI) emerged as a leading in developed countries, particularly in the United States, where coronary heart disease surpassed other conditions to become the primary killer by the , peaking in incidence and mortality around the mid-1960s. This epidemic was driven by factors such as increasing industrialization, smoking prevalence, and dietary changes, resulting in high in-hospital and pre-hospital fatality rates, often exceeding 30% for AMI cases. At the time, diagnostic capabilities were severely limited, relying heavily on patient history, (introduced in the early but not universally available until later), and basic chest X-rays, with no routine use of (which emerged in the 1970s) or cardiac biomarkers like troponins (developed in the ). Assessment of heart failure complicating AMI prior to 1967 depended almost entirely on bedside , as advanced and laboratory tests were unavailable or impractical in acute settings. Clinicians evaluated signs such as rales ( in the lungs indicating pulmonary ), (low blood pressure signaling ), elevated , and to gauge the severity of left ventricular dysfunction and overall . These rudimentary methods, while accessible, were subjective and lacked standardization, often leading to delayed recognition of high-risk patients and contributing to poor outcomes in an era when AMI management was primarily supportive, involving , oxygen, and analgesics. The establishment of coronary care units (CCUs) in the early marked a pivotal shift in AMI care, with the first units opening around to provide continuous for arrhythmias and other complications that caused sudden deaths outside hospital settings. These specialized wards, pioneered by cardiologists like Desmond Julian and Lawrence E. Meltzer, reduced mortality by enabling rapid interventions such as , but they also underscored the need for simple, bedside tools to stratify risk based on status amid limited resources. This evolving landscape of intensive and recognition of heart failure's role in AMI fatalities directly prompted the development of structured classification systems.

Original Study

The Killip classification originated from a seminal 1967 study conducted by Thomas Killip III and John T. Kimball, published in the American Journal of Cardiology under the title "Treatment of in a : A Two-Year with Patients." This work detailed the experiences in one of the early (CCUs) established in the mid-1960s, amid evolving management strategies for acute (AMI) that emphasized continuous monitoring to address arrhythmias and complications. The study employed a prospective observational design, tracking 250 patients admitted to the CCU at Hospital-Cornell Medical Center over a two-year period from 1965 to 1967. AMI was confirmed in these patients using electrocardiographic (ECG) changes and enzyme elevations, standard diagnostic tools of the era. The cohort primarily consisted of middle-aged males, reflecting the typical demographic profile of AMI cases at the time, with a focus on bedside physical examinations to assess signs of rather than relying solely on invasive or radiographic methods. Central to the study were initial observations linking clinical manifestations of left ventricular failure—such as pulmonary congestion, , and —to elevated in-hospital mortality rates among AMI patients. Killip and Kimball noted that mortality varied significantly with the severity of these physical signs, prompting the development of a simple four-class system to stratify patients based on the presence and extent of or upon admission. This classification emerged as a practical tool for prognostic assessment within the CCU setting, highlighting how aggressive monitoring and intervention could mitigate risks in lower-severity cases.

Classification System

Overview and Purpose

The Killip class is a four-tier clinical system used to evaluate the severity of acute in patients with acute (AMI), based exclusively on findings. Introduced in a seminal 1967 study by Killip and Kimball, it provides a straightforward method for initial assessment without relying on laboratory tests or . The primary purpose of the Killip class is to facilitate rapid risk stratification upon patient presentation, enabling clinicians to estimate short-term mortality risk, such as 30-day outcomes, in a timely manner. This approach supports immediate decision-making in settings by categorizing severity through readily observable signs, including rales, gallop rhythms, , and , without the need for any equipment. Its design emphasizes accessibility, making it particularly valuable in resource-limited environments where advanced diagnostics may not be immediately available. Originally developed for AMI, the Killip class has since been applied more broadly to both ST-elevation (STEMI) and non-ST-elevation (NSTEMI) scenarios, maintaining its utility across these subtypes of acute coronary syndromes.

Detailed Criteria

The Killip classification system delineates four classes of heart failure severity in patients with acute based on findings observed at the bedside. These classes reflect escalating degrees of left ventricular dysfunction and pulmonary congestion, assessed through , , and evaluation. The criteria emphasize observable signs such as lung sounds, cardiac rhythms, venous pressure, and status, allowing for rapid stratification without advanced or tests. Class I represents the absence of clinical heart failure, characterized by no rales on , absence of an S3 gallop, no jugular venous distension, and normal including stable and . Patients in this class exhibit no signs of pulmonary congestion or systemic hypoperfusion. Class II indicates mild to moderate , with physical findings such as rales or involving ≤50% of the fields, presence of an S3 gallop, elevated , or mild dyspnea, but without acute respiratory distress or hemodynamic instability. These signs suggest early left ventricular impairment without widespread . Class III denotes severe accompanied by acute , marked by rales in >50% of the fields, marked dyspnea at rest, and often pink frothy , indicating significant alveolar flooding and respiratory compromise. Class IV signifies superimposed on pulmonary congestion, defined by systolic blood pressure <90 mmHg, along with signs of inadequate tissue perfusion such as oliguria, altered mental status, cold extremities, and cyanosis, in the context of heart failure signs from higher classes. This class reflects profound circulatory failure. The following table summarizes the Killip classes, key physical signs, and associated severity:
ClassKey Physical FindingsSeverity Level
INo rales, no S3 gallop, no jugular venous distension, normal vital signsNo heart failure
IIRales/crackles in ≤50% of lung fields, S3 gallop, elevated jugular venous pressure, mild dyspneaMild to moderate
IIIRales in >50% of lung fields, marked dyspnea, pink frothy sputumSevere with
IVSystolic BP <90 mmHg, oliguria, altered mentation, cold extremities, plus pulmonary congestionCardiogenic shock
These criteria provide a simple prognostic indicator of in-hospital outcomes in acute myocardial infarction.

Clinical Significance

Prognostic Implications

The Killip class, introduced in the seminal 1967 study by Killip and Kimball involving 250 patients with acute myocardial infarction (AMI), demonstrated stark differences in in-hospital mortality across classes: approximately 6% for Class I, 17% for Class II, 38% for Class III, and 81% for Class IV. These rates underscored the classification's early prognostic utility in identifying heart failure severity as a key determinant of immediate outcomes in the pre-reperfusion era. Subsequent validations have confirmed the Killip class as an independent predictor of short-term mortality in both AMI and non-ST-elevation myocardial infarction (NSTEMI) cohorts, with higher classes consistently correlating to elevated in-hospital and 30-day death risks. For instance, in a large multicenter study of patients with non-ST-elevation acute coronary syndromes, was associated with a more than threefold increase in 30-day mortality compared to (8.8% versus 2.8%). Similarly, in AMI patients undergoing reperfusion therapy, Killip class remained a significant multivariate predictor of 30-day mortality, independent of factors like age and infarct location. Long-term implications of the Killip class extend beyond the acute phase, with patients in Classes III and IV facing substantially higher risks of recurrent cardiovascular events, post-discharge heart failure, and overall mortality. In a cohort analysis of AMI survivors, those classified as Killip III or IV exhibited larger necrotic areas and greater left ventricular dysfunction, leading to poorer long-term survival compared to lower classes. Admission Killip class has also been linked to late heart failure development, serving as a baseline indicator of vulnerability to recurrent hospitalizations and events even years post-AMI. Prognostic risks within each Killip class are further modulated by patient-specific factors, including advanced age, comorbidities such as diabetes mellitus, and AMI subtype (ST-elevation myocardial infarction [STEMI] versus NSTEMI). Age interacts synergistically with Killip class to amplify mortality, accounting for up to 80% of prognostic variance on admission. Diabetes exacerbates outcomes across classes by increasing the hazard of both short- and long-term death, often through worsened endothelial function and delayed recovery. Meanwhile, STEMI patients in higher Killip classes tend to experience more acute in-hospital mortality than their NSTEMI counterparts, though NSTEMI may confer elevated long-term risks due to underlying multivessel disease.

Applications in Practice

The Killip class is routinely applied at patient admission in emergency departments and coronary care units (CCUs) to facilitate triage and initial monitoring for individuals presenting with acute myocardial infarction (AMI). For instance, patients classified as Killip class IV, indicating cardiogenic shock, are prioritized for immediate transfer to an intensive care unit to enable rapid hemodynamic stabilization and advanced monitoring. This stratification helps allocate resources efficiently, ensuring higher-risk patients receive prompt evaluation and surveillance for complications such as worsening heart failure. In guiding therapeutic interventions, the Killip class informs decisions on reperfusion strategies and supportive therapies during AMI management. Higher classes, particularly III and IV, prompt accelerated timing for percutaneous coronary intervention (PCI) to restore coronary blood flow, as delayed reperfusion in these patients exacerbates outcomes. Additionally, class III or IV patients often require inotropic agents to enhance cardiac contractility or mechanical circulatory support devices, such as intra-aortic balloon pumps, to maintain perfusion until revascularization is achieved. The Killip class has been integrated into risk adjustment models in major clinical trials evaluating AMI therapies, aiding in patient stratification and outcome analysis. In the GUSTO-I trial, it served as a key baseline variable for adjusting mortality risks across thrombolytic regimens, confirming its utility in balancing cohorts for comparative effectiveness. Similarly, the TIMI risk score for ST-elevation myocardial infarction incorporates Killip class II-IV as a prognostic factor, enabling trial designs to account for heart failure severity when assessing reperfusion success. Contemporary guidelines from the American College of Cardiology/American Heart Association (ACC/AHA) endorse the for initial risk assessment in protocols for both ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI). As outlined in the 2013 ACCF/AHA STEMI guideline and reaffirmed in subsequent updates, including the 2025 ACC/AHA ACS guideline through tools like the Zwolle risk score, it supports tailored care pathways from admission onward. The 2023 European Society of Cardiology guidelines similarly highlight Killip class >I as a high-risk feature warranting intensified management in acute coronary syndromes.

Limitations and Evolutions

Criticisms and Shortcomings

The Killip classification relies heavily on findings, such as the presence and extent of rales, a , or jugular venous distension, which introduce subjectivity and potential interobserver variability depending on experience and . Validation studies have highlighted that the accuracy, concordance, and inter/intra-observer variability of these signs could not be systematically assessed due to practical and temporal constraints in . Developed in 1967 during the pre-revascularization era, the Killip class has demonstrated enduring prognostic value but is less sensitive to subtle degrees of left ventricular dysfunction that modern tools like or biomarkers can detect more reliably in contemporary practice. For instance, lung integrated with Killip assessment has been shown to outperform alone in identifying high-risk patients with ST-elevation . The system focuses primarily on signs of left ventricular failure, providing incomplete coverage for right ventricular involvement, which often presents with and but without pulmonary or rales, as seen in inferior wall infarctions. It also does not differentiate cardiogenic shock from non-AMI-related causes, such as or complicating the acute presentation. Validation gaps persist, with studies up to 2022 reporting interobserver variability and reduced predictive accuracy in subgroups like elderly patients or women, who may exhibit atypical symptoms or delayed presentations affecting classification reliability. Alternatives like the score provide more comprehensive risk assessment incorporating additional variables.

Modern Adaptations and Alternatives

The Killip classification has been integrated into several composite risk stratification tools for acute (AMI), enhancing its prognostic utility by combining clinical signs of with other patient factors. For instance, the Global Registry of Acute Coronary Events () score incorporates Killip class alongside variables such as age, , systolic , creatinine levels, at admission, ST-segment deviation, and elevated cardiac enzymes to predict short- and long-term mortality in patients with acute coronary syndromes. Similarly, the Thrombolysis in () risk score for non-ST-elevation MI includes elements that align with Killip assessment, such as risk factors for cardiac ischemia and signs of , allowing for a more comprehensive evaluation of in-hospital and post-discharge outcomes. In 2020s clinical guidelines, Killip class continues to serve as a key component; the 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes references it within the risk score for predicting post-procedural mortality in ST-elevation MI. The 2020 ESC Guidelines for the management of acute coronary syndromes also endorse its use in initial . As alternatives to the standalone Killip class, more comprehensive scoring systems address some of its limitations, such as reliance on subjective clinical judgment, by incorporating and data for greater objectivity. The score, for example, extends beyond Killip's clinical criteria to include biochemical markers like and objective ECG findings, providing superior discrimination for mortality risk in diverse AMI populations compared to simpler tools. In intensive care settings for complicating AMI, the Acute Physiology and Chronic Health Evaluation II () score evaluates a broader range of physiological derangements, including , values, and comorbidities. Despite these advancements, Killip's primary advantage lies in its and rapid bedside applicability, requiring no tests or , which makes it particularly valuable in time-sensitive or resource-constrained environments. Recent studies have validated the ongoing of Killip class, particularly in low-resource settings where advanced diagnostics may be unavailable, while emphasizing the need for adjunctive measures to refine accuracy. A 2023 analysis in the European Journal of confirmed its prognostic value for adverse cardiac events in with non-obstructive , with higher classes associated with increased 1-year mortality, though authors recommended combining it with left ventricular (LVEF) assessment via for better precision. In resource-limited contexts, a 2025 Frontiers in Cardiovascular Medicine study on management in low-income regions reported that Killip class effectively stratified risk in 50.5% of ST-elevation cases classified as Killip I (with 67.9% of all patients having STEMI), supporting its utility when integrated with basic monitoring, and highlighting LVEF as a complementary prognostic tool. Looking toward future directions, emerging research explores AI-enhanced adaptations of Killip class to leverage real-time data for dynamic risk prediction, potentially overcoming traditional subjectivity through integration. A 2025 study in the Canadian Journal of Cardiology developed an explainable AI model that incorporates Killip-derived indicators with continuous from electronic health records, achieving higher accuracy in forecasting malignant ventricular and mortality in AMI patients compared to conventional scores. Similarly, 2025 investigations in the utilized algorithms to augment Killip class with ECG rhythms and temporal data, demonstrating improved predictive performance for in STEMI patients. These AI-driven approaches, as reviewed in a 2025 JMIR , show promise for personalized, real-time adaptations, with discriminatory power surpassing static tools like in prospective validations.

References

  1. [1]
  2. [2]
    Risk Assessment of Patients After ST-Segment Elevation Myocardial ...
    Dec 21, 2020 · The Killip classification was introduced for clinical assessment of patients with acute MI, and it stratifies individuals according to the ...
  3. [3]
    Prognostic Importance of Physical Examination for Heart Failure in ...
    Patients in Killip class II, III, or IV were generally older and had significantly more comorbidities, including higher rates of diabetes, prior myocardial ...
  4. [4]
    The epidemic of the 20(th) century: coronary heart disease - PubMed
    It is very likely that the 20th century was the only century in which heart disease was the most common cause of death in America. Keywords: Acute myocardial ...
  5. [5]
    Of MIs and men--a historical perspective on the diagnostics of acute ...
    With the first description of the electrocardiogram (ECG) in the 1910s and 1920s, the history of modern MI diagnostics really began. Additional important ...
  6. [6]
    Physical Examination in Acute Coronary Syndromes - AAFP
    Jun 1, 2004 · Killip class I patients were those without heart failure; class II patients had mild heart failure with rales involving one third or less of the ...<|control11|><|separator|>
  7. [7]
    An historical approach to the diagnostic biomarkers of acute ...
    May 19, 2016 · At present, cardiac troponins are the only accepted biomarkers for diagnosing myocardial injury and acute myocardial infarction (AMI) (10). The ...Missing: mid | Show results with:mid
  8. [8]
    The history of the coronary care unit - PubMed
    The first coronary care units were established in the early 1960s in an attempt to reduce mortality from acute myocardial infarction. Pioneering cardiologists ...
  9. [9]
    The history of the coronary care unit - ResearchGate
    Aug 10, 2025 · The first coronary care units were established in the early 1960s in an attempt to reduce mortality from acute myocardial infarction.
  10. [10]
    Treatment of myocardial infarction in a coronary care unit. A two year ...
    Am J Cardiol. 1967 Oct;20(4):457-64. doi: 10.1016/0002-9149(67)90023-9. Authors. T Killip 3rd, J T Kimball. PMID: 6059183; DOI: 10.1016/0002-9149(67)90023-9.
  11. [11]
    Acute myocardial infarction with high Killip class - NIH
    In 1967, Killip and Kimball12 published a landmark study establishing a method for early risk stratification of AMI patients admitted to Coronary Care Units, ...
  12. [12]
    Validation of the Killip-Kimball Classification and Late Mortality after ...
    Classification of heart failure severity in acute myocardial infarction · Killip I: 81 (33%) with no clinical signs of heart failure, · Killip II: 96 (38%) with ...<|control11|><|separator|>
  13. [13]
    Killip classification in patients with acute coronary syndrome
    Killip classification is a simple clinical tool that has been previously studied in patients with ST-elevation myocardial infarction (STEMI) [1], [2], [3].
  14. [14]
    Treatment of myocardial infarction in a coronary care unit
    The American Journal of Cardiology · Volume 20, Issue 4, October 1967, Pages 457-464. The American Journal of Cardiology. Symposium on coronary care unit.<|control11|><|separator|>
  15. [15]
  16. [16]
    Impact of diabetes on outcome in patients with non-ST-elevation ...
    Cox proportional hazard analysis revealed that age, Killip class ≥1 and diabetes were significantly associated with increased risk of mortality (Table 5).Missing: modified | Show results with:modified
  17. [17]
  18. [18]
    Risk Assessment of Patients After ST-Segment Elevation Myocardial ...
    Dec 21, 2020 · The Killip classification serves as an independent predictor of early mortality after MI, and the presence of LVSD (ejection fraction < 50%) and ...
  19. [19]
    ACC/AHA Guidelines for the Management of Patients With ST ...
    Class I. 1. Patients with symptoms of STEMI (chest discomfort with or without radiation to the arms[s], back, neck, jaw, or epigastrium; shortness of breath; ...
  20. [20]
    Mechanical Circulatory Support in ST-Elevation Myocardial Infarction
    Jul 14, 2018 · The Killip classification score combines assessment of cardiac output and intravascular volume and can be helpful to quickly assess patients ...
  21. [21]
    TIMI Risk Score for ST-Elevation Myocardial Infarction
    The TIMI risk score for STEMI may also be used in designing clinical trials. ... Killip class II–IV, 1 890 (12.6), 3.6 (3.1–4.2), <0.0001. Heart rate, bpm, 74 ...<|control11|><|separator|>
  22. [22]
    2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the ...
    Predictors of mortality in the Zwolle score include age, Killip class, postprocedural TIMI Flow Grade, 3-vessel disease, anterior infarction, and ischemic time.
  23. [23]
    Lung ultrasound in acute myocardial infarction. Updating Killip ...
    Killip classification is subjective, however, its value remained unaltered since its original description. Some investigators had used N-terminal brain ...
  24. [24]
    B-Lines by Lung Ultrasound Can Predict Worsening Heart Failure in ...
    May 2, 2022 · A recent study suggested that LUS added to the Killip classification was more sensitive than physical examination to identify patients with ST- ...
  25. [25]
    Table: Killip Classification of Acute Myocardial Infarction
    1. Normal. No clinical evidence of left ventricular (LV) failure ; 2. Slightly reduced. Mild to moderate LV failure ; 3. Abnormal. Severe LV failure, pulmonary ...Missing: heart | Show results with:heart
  26. [26]
    The relevance of Killip class in ST-segment elevation myocardial ...
    The Killip classification system has been validated as a prognostic indicator for both in-hospital and long-term mortality among STEMI patients. Sakamoto et al.Missing: definition | Show results with:definition<|control11|><|separator|>
  27. [27]
    GRACE ACS Risk and Mortality Calculator - MDCalc
    The GRACE ACS Risk and Mortality Calculator estimates admission-6 month mortality for patients with acute coronary syndrome.
  28. [28]
    Combination of the Killip and TIMI Classifications for Early Risk ...
    Feb 17, 2011 · The Killip classification, introduced in 1967 [1], is the most widely used bedside method for risk stratification of patients presenting ...Missing: criteria original
  29. [29]
    The Difference in Accuracy Between Global Registry of Acute ... - NIH
    The GRACE score also stratifies age, heart rate and Killip class, adding the variable values and the risk of death can be calculated.
  30. [30]
    Value of APACHE II, SOFA and CardShock scoring as predictive ...
    APACHE II and SOFA scores were significantly higher in the group of patients who died at 30 days (P = 0.043 and P = 0.045, respectively). The CardShock score ...
  31. [31]
    Predictive value of Killip classification in MINOCA patients
    Aug 16, 2023 · Killip classification is a practical clinical tool for risk stratification in patients with acute myocardial infarction (AMI).
  32. [32]
    [EPUB] Management of acute coronary syndrome in resource-limited set up
    Feb 25, 2025 · The majority of patients (67.9%) have been diagnosed with ST- Elevated Myocardial Infarction and were classified as Killip class I. Percutaneous ...
  33. [33]
    Explainable Artificial Intelligence-Driven Risk Assessment for ...
    Sep 17, 2025 · This research institute has developed an artificial intelligence model that integrates real-time monitoring indicators and vital signs data from ...
  34. [34]
    AI-Based Predictive Models for Cardiogenic Shock in STEMI - MDPI
    In our study, the Random Forest (RF)-based model enhanced CS prediction by incorporating Killip class, ECG rhythm, time from pain onset, and sex, alongside age ...
  35. [35]
    Comparing the Performance of Machine Learning Models and ...
    Jul 18, 2025 · This review demonstrated that ML-based models had superior discriminatory performance compared to conventional risk scores for predicting MACCEs in patients ...