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Frequency of pericardial effusion as determined by M-mode echocardiography in acute myocardial infarction

Insights

Pericardial effusion (PE) is common after acute myocardial infarction (AMI), detected in 37% of patients via echocardiography. However, PE presence doesn't strongly correlate with pericardial friction rubs or chest pain.

Area of Science:

  • Cardiology
  • Internal Medicine
  • Diagnostic Imaging

Background:

  • Pericardial friction rub is observed in 6-16% of acute myocardial infarction (AMI) patients.
  • The incidence and characteristics of pericardial effusion (PE) post-AMI are not well-established.

Purpose of the Study:

  • To determine the incidence of pericardial effusion (PE) in patients following acute myocardial infarction (AMI).
  • To investigate the association between PE and clinical findings such as pericardial friction rub, chest pain, and cardiac biomarkers.

Main Methods:

  • M-mode echocardiography was performed on 43 consecutive AMI patients at 1, 3, and 5 days post-admission.
  • Clinical data including pericardial friction rub, chest pain characteristics, peak creatine kinase levels, and Killip classification were collected.

Main Results:

  • Pericardial effusion (PE) was detected in 37% (16 of 43) of AMI patients.
  • PE was small in 7, moderate in 6, and large in 3 patients.
  • Pericardial friction rub occurred in 19% (8 of 43), with only 4 having PE.
  • Pleuritic chest pain was present in 28% (12 of 43), with only 5 having PE.
  • Patients with PE had significantly higher peak creatine kinase levels and were more likely to be in Killip classification II, III, or IV.

Conclusions:

  • Pericardial effusion (PE) is frequently present after acute myocardial infarction (AMI), as detected by echocardiography.
  • The presence of PE is not closely associated with the occurrence of a pericardial friction rub or typical pericardial pain.
  • PE detection via echocardiography may offer prognostic value, indicated by higher peak creatine kinase levels and more severe heart failure classifications.

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