Diagnostic Value of Lung Ultrasonography in Comparison with Killip Classes after Angiography in Acute Myocardial Infarction: A Study from Iran

Background: Acute myocardial infarction (AMI) with heart failure (HF), is the main cause of increased mortality. Early risk stratification by Killip classification is essential for its management. Today, non-invasive diagnostic methods such as lung ultrasound (LUS) are on the rise due to their ability to provide valuable insights without invasive methods. In this study we aimed to evaluate diagnostic value of LUS in comparison with Killip classes after angiography in AMI patients. Methods: In this cross-sectional study, 60 patients referred to Ghaem hospital in Mashhad, Iran during 2022-2023 with AMI were participated. LUS and echocardiography were performed for all patients before and after angiography and the results were compared with Killip classes. In order to perform LUS, the 8-zone method was used, and the number of B-lines in each zone was counted. All data were analyzed by SPSS software version 22. Results: Of all the patients, 56.7% were male and the mean age was 59.11 ± 14.82 years. There was statistically significant difference in terms of TIMI score, B-lines in LUS, ejection fraction, E/EM, E/A, Killip class before and after angiography (P<0.05). There was a moderate agreement between the results of Killip class and LUS before and after angiography (Cohen's kappa coefficient was 0.410 and 0.556, respectively). Conclusion: Based on our findings, Killip Class and LUS can predict the mortality of AMI patients in the future and the results of LUS had a moderate agreement with the Killip class.

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Publication Details

Journal
Journal of Clinical Cardiology
Published
2025-01-01
DOI
https://doi.org/10.33696/cardiology.6.073
Primary Topic
Ultrasound in Clinical Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic Value of Lung Ultrasonography in Comparison with Killip Classes after Angiography in Acute Myocardial Infarction: A Study from Iran

Hedieh Alimi, Homa Hemmati, Ramin Khameneh Bagheri, Hassan Mehrad-Majd
Journal of Clinical Cardiology
Ultrasound in Clinical Applications
article

Diagnostic Value of Lung Ultrasonography in Comparison with Killip Classes after Angiography in Acute Myocardial Infarction: A Study from Iran

Hedieh Alimi, Homa Hemmati, Ramin Khameneh Bagheri, Hassan Mehrad-Majd
article en

Abstract

Background: Acute myocardial infarction (AMI) with heart failure (HF), is the main cause of increased mortality. Early risk stratification by Killip classification is essential for its management. Today, non-invasive diagnostic methods such as lung ultrasound (LUS) are on the rise due to their ability to provide valuable insights without invasive methods. In this study we aimed to evaluate diagnostic value of LUS in comparison with Killip classes after angiography in AMI patients. Methods: In this cross-sectional study, 60 patients referred to Ghaem hospital in Mashhad, Iran during 2022-2023 with AMI were participated. LUS and echocardiography were performed for all patients before and after angiography and the results were compared with Killip classes. In order to perform LUS, the 8-zone method was used, and the number of B-lines in each zone was counted. All data were analyzed by SPSS software version 22. Results: Of all the patients, 56.7% were male and the mean age was 59.11 ± 14.82 years. There was statistically significant difference in terms of TIMI score, B-lines in LUS, ejection fraction, E/EM, E/A, Killip class before and after angiography (P<0.05). There was a moderate agreement between the results of Killip class and LUS before and after angiography (Cohen's kappa coefficient was 0.410 and 0.556, respectively). Conclusion: Based on our findings, Killip Class and LUS can predict the mortality of AMI patients in the future and the results of LUS had a moderate agreement with the Killip class.

Journal of Clinical CardiologyVol. 6(1)
Mashhad University of Medical Sciences
Openalex Percentile: Top 86%
Ultrasound in Clinical Applications
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