Chest sonography: a useful tool to differentiate acute cardiogenic pulmonary edema from acute respiratory distress syndrome
2008

Using Chest Ultrasound to Tell Apart Two Types of Lung Problems

Sample size: 58 publication Evidence: high

Author Information

Author(s): Roberto Copetti, Gino Soldati, Paolo Copetti

Primary Institution: Emergency Department S. Antonio Abate General Hospital, Tolmezzo, Italy

Hypothesis

Chest sonography can differentiate between acute cardiogenic pulmonary edema and acute respiratory distress syndrome by identifying specific pleuropulmonary signs.

Conclusion

Chest ultrasound can effectively identify specific patterns in lung conditions, helping to distinguish between non-cardiogenic and cardiogenic pulmonary edema.

Supporting Evidence

  • AIS was found in 100% of patients with ALI/ARDS and APE.
  • Pleural line abnormalities were observed in 100% of patients with ALI/ARDS and 25% of patients with APE.
  • Absence or reduction of the 'gliding sign' was observed in 100% of patients with ALI/ARDS and in 0% of patients with APE.
  • 'Spared areas' were observed in 100% of patients with ALI/ARDS and in 0% of patients with APE.
  • Consolidations were present in 83.3% of patients with ALI/ARDS and 0% of patients with APE.
  • A pleural effusion was present in 66.6% of patients with ALI/ARDS and in 95% of patients with APE.
  • 'Lung pulse' was observed in 50% of patients with ALI/ARDS and in 0% of patients with APE.

Takeaway

Doctors can use ultrasound to see different signs in the lungs that help them figure out if a patient has a heart problem or a different kind of lung problem.

Methodology

Chest sonography was performed on admission to the ICU in 58 patients diagnosed with ALI/ARDS or APE.

Limitations

The study did not request informed consent as lung ultrasonography is routine; however, this may limit generalizability.

Participant Demographics

{"total_patients":58,"patients_with_ALI/ARDS":18,"patients_with_APE":40,"mean_age_ALI/ARDS":"68 ± 11.2","mean_age_APE":"75.5 ± 6.8","sex_distribution":{"males":36,"females":22}}

Statistical Information

P-Value

p<0.0001

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1186/1476-7120-6-16

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