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Pulmonary Embolism Severity Index (PESI)

Editor: Scott C. Dulebohn Updated: 1/11/2024 2:27:28 AM

Summary / Explanation

Pulmonary embolism (PE) is a critical condition characterized by the obstruction of pulmonary arteries, usually by blood clots originating from the venous system. Prompt identification of the severity of PE is essential for effective management. The Pulmonary Embolism Severity Index (PESI) is a widely recognized tool for risk stratification in patients with PE.[1] This article explores the significance of PESI, its calculation, and interpretation. The PESI is a clinical prediction rule designed to estimate the short-term prognosis of patients with PE. Developed by Aujesky et al in 2005, the index incorporates various clinical parameters to categorize patients into different risk classes. The primary goal is to assist healthcare professionals in determining the appropriate level of care and intervention based on the severity of the condition by predicting the 30-day outcome of patients with pulmonary embolism.

Components of PESI

The PESI includes 11 clinical variables, each assigned a specific point value based on its perceived impact on patient outcomes. These variables encompass demographic information, comorbidities, vital signs, and laboratory findings. Key components include age, history of malignancy, chronic cardiopulmonary disease, heart rate, systolic blood pressure, respiratory rate, altered mental status, arterial oxyhemoglobin saturation, and the presence of congestive heart failure or chronic lung disease.[2] To calculate the PESI score, each variable is assigned points according to its contribution to the overall risk. The total points are then used to classify patients into 1 of 5 risk classes, ranging from low to high risk.[3] The simplicity of the scoring system allows for a quick and effective risk assessment at the bedside. These variables are:

Age (in years)

  • Number of years = points (eg, 30 years = 30 points)

Male Sex

  • 10 points

History of Cancer

  • No: 0 points
  • Yes: 30 points

History of Chronic Cardiopulmonary Disease (heart failure or chronic lung disease)

  • No: 0 points
  • Yes: 10 points

Heart Rate (beats per minute)

  • <110: 0 points
  • ≥110: 20 points

Systolic Blood Pressure (mm Hg)

  • ≥100: 0 points
  • <100: 30 points

Respiratory Rate (breaths per minute)

  • <30: 0 points
  • ≥30: 20 points

Temperature (°C)

  • <36: 20 points
  • ≥36: 0 points

Arterial Oxyhemoglobin Saturation (%)

  • ≥90: 0 points
  • <90: 20 points

Altered Mental Status

  • No: 0 points
  • Yes: 60 points

Presence of Congestive Heart Failure

  • No: 0 points
  • Yes: 10 points

For each patient, please review the variables list and assign the appropriate points based on their clinical condition. Add up the total points given for each variable to obtain the overall PESI score.

Determining the Risk Class

The total PESI score places the patient into 1 of 5 risk classes:[4]

  • Class I (Low Risk): 0 to 65 points
  • Class II (Low-Moderate Risk): 66 to 85 points
  • Class III (Moderate-High Risk): 86 to 105 points
  • Class IV (High Risk): 106 to 125 points
  • Class V (Very High Risk): >125 points

Interpretation

  • Low-Risk Patients (Class I and II): Suitable for outpatient management.
  • Moderate to High-Risk Patients (Class III and IV): May require hospitalization and closer monitoring.
  • Very High-Risk Patients (Class V): Require intensive care and advanced interventions.

While PESI is a valuable tool, clinical judgment, and other diagnostic information should be considered with comprehensive patient assessment and management.

Clinical Utility and Validation

Numerous studies have validated the predictive accuracy of PESI in various patient populations. For example, a study by Jiménez et al (2010, PMID 20679560) demonstrated the utility of PESI in predicting 30-day mortality and adverse outcomes in patients with acute PE. The index's ability to accurately stratify risk makes it a valuable tool in clinical practice, aiding healthcare providers in optimizing resource utilization and tailoring interventions to individual patient needs.

Challenges and Considerations

While PESI is a valuable tool, it is not without limitations. The index does not consider some factors that may influence prognosis, such as biomarkers or advanced imaging findings. Additionally, its reliance on subjective measures like altered mental status may introduce variability in scoring. Clinicians must use PESI in conjunction with clinical judgment and other diagnostic tools.[5]

Conclusion

The Pulmonary Embolism Severity Index is a well-established clinical prediction tool that facilitates risk stratification in patients with PE. Its simplicity and predictive accuracy make it a valuable asset in the clinical setting, aiding in patients' timely and appropriate management. As research continues to evolve, incorporating tools like PESI into routine practice enhances the overall quality of care and improves patient outcomes.

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References


[1]

Kalaycı S, Köksal BG, Horuz E, Ertem E, Cömert F, Somuncu MU, Kalaycı B. Pulmonary Embolism Severity Index Predicts Adverse Events in Hospitalized COVID-19 Patients: A Retrospective Observational Study. Journal of cardiothoracic and vascular anesthesia. 2022 Dec:36(12):4403-4409. doi: 10.1053/j.jvca.2022.08.009. Epub 2022 Aug 20     [PubMed PMID: 36155716]

Level 2 (mid-level) evidence

[2]

Hassine M, Kallala MY, Mahjoub M, Boussaada M, Bouchahda N, Gamra H. [Pulmonary embolism: the Pulmonary Embolism Severity Index (PESI) score and mortality predictors]. The Pan African medical journal. 2023:45():48. doi: 10.11604/pamj.2023.45.48.39031. Epub 2023 May 19     [PubMed PMID: 37575526]


[3]

Theroux CD, Aliotta JM, Mullin CJ. High-Risk Pulmonary Embolism: Current Evidence-Based Practices. Rhode Island medical journal (2013). 2019 Dec 2:102(10):43-47     [PubMed PMID: 31795534]


[4]

Stein PD, Matta F, Hughes MJ. Hospitalizations for High-Risk Pulmonary Embolism. The American journal of medicine. 2021 May:134(5):621-625. doi: 10.1016/j.amjmed.2020.10.029. Epub 2020 Nov 24     [PubMed PMID: 33245921]


[5]

Gadre A, Deshwal H, Mahar J, Sadana D, Haddadin I, Tong M, Bartholomew JR, Heresi GA. Predictive Scoring for Severity of Acute Pulmonary Embolism: Does Timing Matter? Seminars in thrombosis and hemostasis. 2018 Jun:44(4):397-399. doi: 10.1055/s-0038-1642643. Epub 2018 May 3     [PubMed PMID: 29723890]