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Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy

BACKGROUND: Chagas disease is an endemic protozoan disease with high prevalence in Latin America. Of those infected, 20–30% will develop chronic Chagas cardiomyopathy (CCC) however, prediction using existing clinical criteria remains poor. In this study, we investigated the utility of left ventricul...

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Autores principales: Win, Sithu, Miranda-Schaeubinger, Monica, Gustavo Durán Saucedo, Ronald, Carballo Jimenez, Paula, Flores, Jorge, Mercado-Saavedra, Brandon, Camila Telleria, Lola, Raafs, Anne, Verastegui, Manuela, Bern, Caryn, Tinajeros, Freddy, Heymans, Stephane, Marcus, Rachel, Gilman, Robert H., Mukherjee, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136131/
https://www.ncbi.nlm.nih.gov/pubmed/35647262
http://dx.doi.org/10.1016/j.ijcha.2022.101060
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author Win, Sithu
Miranda-Schaeubinger, Monica
Gustavo Durán Saucedo, Ronald
Carballo Jimenez, Paula
Flores, Jorge
Mercado-Saavedra, Brandon
Camila Telleria, Lola
Raafs, Anne
Verastegui, Manuela
Bern, Caryn
Tinajeros, Freddy
Heymans, Stephane
Marcus, Rachel
Gilman, Robert H.
Mukherjee, Monica
author_facet Win, Sithu
Miranda-Schaeubinger, Monica
Gustavo Durán Saucedo, Ronald
Carballo Jimenez, Paula
Flores, Jorge
Mercado-Saavedra, Brandon
Camila Telleria, Lola
Raafs, Anne
Verastegui, Manuela
Bern, Caryn
Tinajeros, Freddy
Heymans, Stephane
Marcus, Rachel
Gilman, Robert H.
Mukherjee, Monica
author_sort Win, Sithu
collection PubMed
description BACKGROUND: Chagas disease is an endemic protozoan disease with high prevalence in Latin America. Of those infected, 20–30% will develop chronic Chagas cardiomyopathy (CCC) however, prediction using existing clinical criteria remains poor. In this study, we investigated the utility of left ventricular (LV) echocardiographic speckle-tracking global longitudinal strain (GLS) for early detection of CCC. METHODS AND RESULTS: 139 asymptomatic T. cruzi seropositive subjects with normal heart size and normal LV ejection fraction (EF) (stage A or B) were enrolled in this prospective observational study and underwent paired echocardiograms at baseline and 1-year follow-up. Progressors were participants classified as stage C or D at follow-up due to development of symptoms of heart failure, cardiomegaly, or decrease in LVEF. LV GLS was calculated as the average peak systolic strain of 16 LV segments. Measurements were compared between participants who progressed and did not progress by two-sample t-test, and the odds of progression assessed by multivariable logistic regression. Of the 139 participants, 69.8% were female, mean age 55.8 ± 12.5 years, with 12 (8.6%) progressing to Stage C or D at follow-up. Progressors tended to be older, male, with wider QRS duration. LV GLS was −19.0% in progressors vs. –22.4% in non-progressors at baseline, with 71% higher odds of progression per +1% of GLS (adjusted OR 1.71, 95% CI 1.20–2.44, p = 0.003). CONCLUSION: Baseline LV GLS in participants with CCC stage A or B was predictive of progression within 1-year and may guide timing of clinical follow-up and promote early detection or treatment.
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spelling pubmed-91361312022-05-28 Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy Win, Sithu Miranda-Schaeubinger, Monica Gustavo Durán Saucedo, Ronald Carballo Jimenez, Paula Flores, Jorge Mercado-Saavedra, Brandon Camila Telleria, Lola Raafs, Anne Verastegui, Manuela Bern, Caryn Tinajeros, Freddy Heymans, Stephane Marcus, Rachel Gilman, Robert H. Mukherjee, Monica Int J Cardiol Heart Vasc Original Paper BACKGROUND: Chagas disease is an endemic protozoan disease with high prevalence in Latin America. Of those infected, 20–30% will develop chronic Chagas cardiomyopathy (CCC) however, prediction using existing clinical criteria remains poor. In this study, we investigated the utility of left ventricular (LV) echocardiographic speckle-tracking global longitudinal strain (GLS) for early detection of CCC. METHODS AND RESULTS: 139 asymptomatic T. cruzi seropositive subjects with normal heart size and normal LV ejection fraction (EF) (stage A or B) were enrolled in this prospective observational study and underwent paired echocardiograms at baseline and 1-year follow-up. Progressors were participants classified as stage C or D at follow-up due to development of symptoms of heart failure, cardiomegaly, or decrease in LVEF. LV GLS was calculated as the average peak systolic strain of 16 LV segments. Measurements were compared between participants who progressed and did not progress by two-sample t-test, and the odds of progression assessed by multivariable logistic regression. Of the 139 participants, 69.8% were female, mean age 55.8 ± 12.5 years, with 12 (8.6%) progressing to Stage C or D at follow-up. Progressors tended to be older, male, with wider QRS duration. LV GLS was −19.0% in progressors vs. –22.4% in non-progressors at baseline, with 71% higher odds of progression per +1% of GLS (adjusted OR 1.71, 95% CI 1.20–2.44, p = 0.003). CONCLUSION: Baseline LV GLS in participants with CCC stage A or B was predictive of progression within 1-year and may guide timing of clinical follow-up and promote early detection or treatment. Elsevier 2022-05-23 /pmc/articles/PMC9136131/ /pubmed/35647262 http://dx.doi.org/10.1016/j.ijcha.2022.101060 Text en © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Win, Sithu
Miranda-Schaeubinger, Monica
Gustavo Durán Saucedo, Ronald
Carballo Jimenez, Paula
Flores, Jorge
Mercado-Saavedra, Brandon
Camila Telleria, Lola
Raafs, Anne
Verastegui, Manuela
Bern, Caryn
Tinajeros, Freddy
Heymans, Stephane
Marcus, Rachel
Gilman, Robert H.
Mukherjee, Monica
Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy
title Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy
title_full Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy
title_fullStr Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy
title_full_unstemmed Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy
title_short Early identification of patients with Chagas disease at risk of developing cardiomyopathy using 2-D speckle tracking strain: Win, Miranda prediction of Chagas cardiomyopathy
title_sort early identification of patients with chagas disease at risk of developing cardiomyopathy using 2-d speckle tracking strain: win, miranda prediction of chagas cardiomyopathy
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9136131/
https://www.ncbi.nlm.nih.gov/pubmed/35647262
http://dx.doi.org/10.1016/j.ijcha.2022.101060
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