Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study

Introduction: Cardiac fibres are affected invariably in myocardial infarction, with longitudinal strain being the earliest to be detected in the ischaemic cascade. The present study aims to assess strain imaging in acute myocardial infarction (AMI) patients admitted to the cardiology department at o...

Full description

Bibliographic Details
Main Authors: Dhananjay Kumar, Manish Saha, Santanu Guha, Tirthankar Roy, Rohit Kumar, Abhirup K. Sinha
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Indian Heart Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0019483224000014
_version_ 1797267193525698560
author Dhananjay Kumar
Manish Saha
Santanu Guha
Tirthankar Roy
Rohit Kumar
Abhirup K. Sinha
author_facet Dhananjay Kumar
Manish Saha
Santanu Guha
Tirthankar Roy
Rohit Kumar
Abhirup K. Sinha
author_sort Dhananjay Kumar
collection DOAJ
description Introduction: Cardiac fibres are affected invariably in myocardial infarction, with longitudinal strain being the earliest to be detected in the ischaemic cascade. The present study aims to assess strain imaging in acute myocardial infarction (AMI) patients admitted to the cardiology department at our institute and correlate GLS and DESL findings with other markers for myocardial function. Methods and material: This augmented cross-sectional study was conducted amongst the patients admitted with diagnosis of AMI. During the study period, 157 subjects were sampled through convenience sampling, and examined as well as tested with routine investigations at baseline. The subjects were then followed through at first, third and six months, and findings noted. Chi-square was used to assess the crude association between sample characteristics. Pearson correlation and student t-test were used to find association between continuous variables. Results: After screening 564 patients, 157 patients were included in the study after fulfilment of inclusion and exclusion criteria. A significant difference was found in baseline GLS scores and NTproBNP levels at 6 months in alive patients with STEMI, t (21.728) = −5.717, p < .001. Out of the 50 NSTEMI patients, 35 (70 %) were positive for ESL, similarly out of 43 STEMI patients without any RWMA, ESL was positive in 39 (90.02 %) patients. Conclusions: GLS by STE has good correlation with LVEF, WMSI and NT pro-BNP and it is an independent predictor of mortality and heart failure among patients with AMI.
first_indexed 2024-04-25T01:12:42Z
format Article
id doaj.art-9a34222fe9e247fa90f080b51582ac7a
institution Directory Open Access Journal
issn 0019-4832
language English
last_indexed 2024-04-25T01:12:42Z
publishDate 2024-01-01
publisher Elsevier
record_format Article
series Indian Heart Journal
spelling doaj.art-9a34222fe9e247fa90f080b51582ac7a2024-03-10T05:11:10ZengElsevierIndian Heart Journal0019-48322024-01-017613135Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional studyDhananjay Kumar0Manish Saha1Santanu Guha2Tirthankar Roy3Rohit Kumar4Abhirup K. Sinha5Assistant Professor, Department of Cardiology, Narayan Medical College& Hospital, Jamuhar, Bihar, India; Corresponding author. Department of Cardiology, Narayan Medical College& Hospital, A/8, NMCH, Jamuhar, Rohtas, Bihar 821305, India.RMO, Department of Cardiology, R G Kar Medical College and Hospital, Kolkata, West Bengal, IndiaDepartment of Cardiology, Narayan Medical College& Hospital, Jamuhar, Bihar, IndiaConsultant Cardiologist, Hayat Hospital, Guwahati, Assam, IndiaAssociate Consultant, Department of Cardiology, BM Birla Heart Research Centre, Kolkata, West Bengal, IndiaPost DM Senior Resident, Department of Cardiology, IPGMER-SSKM Hospital, Kolkata, West Bengal, IndiaIntroduction: Cardiac fibres are affected invariably in myocardial infarction, with longitudinal strain being the earliest to be detected in the ischaemic cascade. The present study aims to assess strain imaging in acute myocardial infarction (AMI) patients admitted to the cardiology department at our institute and correlate GLS and DESL findings with other markers for myocardial function. Methods and material: This augmented cross-sectional study was conducted amongst the patients admitted with diagnosis of AMI. During the study period, 157 subjects were sampled through convenience sampling, and examined as well as tested with routine investigations at baseline. The subjects were then followed through at first, third and six months, and findings noted. Chi-square was used to assess the crude association between sample characteristics. Pearson correlation and student t-test were used to find association between continuous variables. Results: After screening 564 patients, 157 patients were included in the study after fulfilment of inclusion and exclusion criteria. A significant difference was found in baseline GLS scores and NTproBNP levels at 6 months in alive patients with STEMI, t (21.728) = −5.717, p < .001. Out of the 50 NSTEMI patients, 35 (70 %) were positive for ESL, similarly out of 43 STEMI patients without any RWMA, ESL was positive in 39 (90.02 %) patients. Conclusions: GLS by STE has good correlation with LVEF, WMSI and NT pro-BNP and it is an independent predictor of mortality and heart failure among patients with AMI.http://www.sciencedirect.com/science/article/pii/S0019483224000014Global longitudinal strainEarly systolic lengtheningPost systolic contractionInfarctionSpeckle tracking echocardiography
spellingShingle Dhananjay Kumar
Manish Saha
Santanu Guha
Tirthankar Roy
Rohit Kumar
Abhirup K. Sinha
Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study
Indian Heart Journal
Global longitudinal strain
Early systolic lengthening
Post systolic contraction
Infarction
Speckle tracking echocardiography
title Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study
title_full Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study
title_fullStr Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study
title_full_unstemmed Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study
title_short Strain imaging as an early predictor in acute myocardial infarction – An augmented cross-sectional study
title_sort strain imaging as an early predictor in acute myocardial infarction an augmented cross sectional study
topic Global longitudinal strain
Early systolic lengthening
Post systolic contraction
Infarction
Speckle tracking echocardiography
url http://www.sciencedirect.com/science/article/pii/S0019483224000014
work_keys_str_mv AT dhananjaykumar strainimagingasanearlypredictorinacutemyocardialinfarctionanaugmentedcrosssectionalstudy
AT manishsaha strainimagingasanearlypredictorinacutemyocardialinfarctionanaugmentedcrosssectionalstudy
AT santanuguha strainimagingasanearlypredictorinacutemyocardialinfarctionanaugmentedcrosssectionalstudy
AT tirthankarroy strainimagingasanearlypredictorinacutemyocardialinfarctionanaugmentedcrosssectionalstudy
AT rohitkumar strainimagingasanearlypredictorinacutemyocardialinfarctionanaugmentedcrosssectionalstudy
AT abhirupksinha strainimagingasanearlypredictorinacutemyocardialinfarctionanaugmentedcrosssectionalstudy