Abstract 4369095: Baseline Left Atrial Strain as a Predictor of MACE, Heart Failure, Cardiotoxicity, and All-Cause Mortality in Lymphoma Patients Prior to Anthracycline Therapy

Background: Left atrial (LA) strain, measured by two-dimensional speckle tracking (2D-STE), has not been explored in lymphoma patients before anthracycline treatment as a prognostic marker for predicting future major adverse cardiovascular effects (MACE), heart failure, cardiotoxicity, and all-cause mortality after treatment. Hypothesis: Can an abnormal baseline LA peak reservoir strain (LA RS) measured before anthracycline chemotherapy predict MACE, heart failure, cardiotoxicity, and all-cause mortality in lymphoma patients? Methods: A retrospective cohort study was conducted including 104 patients diagnosed with Hodgkin and non-Hodgkin lymphoma, enrolled and followed from January 1, 2013, to June 30, 2023. LA RS was measured in a dedicated 4 chamber view (TomTec Imaging Systems, Unterschleissheim, Germany), abnormal values defined as less than 35%. Univariate Cox regression analyses were performed to assess whether the LA RS was associated with the development of MACE, cardiotoxicity, heart failure, and all-cause mortality. Multivariable Cox regression models were used to adjust for comorbidities. Associations with outcomes were evaluated using the Kaplan-Meier method and Cox regression. Results: Among 104 patients (mean age of 59 years; [IQR], 49–70), 69 (66.3%) were male and 102 (98.1%) were white. MACE occurred in 19 patients, heart failure in 14 patients, and cardiotoxicity was observed in 4 patients. Additionally, all-cause mortality was found in 19 patients (18.3%). Abnormal LA RS was significantly associated with increased all-cause mortality (HR 3.12, 95% CI 1.02–9.53, p=0.0454) (Figure c), even after adjusting for hypertension, dyslipidemia, smoking status, gender and age (Figure d). No significant associations were found between LA RS and MACE (HR 1.42, 95% CI 0.56-3.62, p=0.4604) (Figure a), heart failure (HR 1.12, 95% CI 0.38-3.24, p=0.8299), or cardiotoxicity (HR 3.23, 95% CI 0.33-31.47, p=0.3128) (Figure b). Conclusions: Abnormal baseline LA strain measured by echocardiography is an independent predictor of all-cause mortality in lymphoma patients. These findings support the use of LA strain assessment into initial risk stratification protocols, providing particular value in identifying patients at increased risk of mortality.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4369095
Primary Topic
Chemotherapy-induced cardiotoxicity and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4369095: Baseline Left Atrial Strain as a Predictor of MACE, Heart Failure, Cardiotoxicity, and All-Cause Mortality in Lymphoma Patients Prior to Anthracycline Therapy

Eduardo Tellez‐Garcia, Hector R. Villarraga, M Roa, Eduardo Villa Pallares et al.
Circulation
Chemotherapy-induced cardiotoxicity and mitigation
article

Abstract 4369095: Baseline Left Atrial Strain as a Predictor of MACE, Heart Failure, Cardiotoxicity, and All-Cause Mortality in Lymphoma Patients Prior to Anthracycline Therapy

Eduardo Tellez‐Garcia, Hector R. Villarraga, M Roa, Eduardo Villa Pallares, Eduardo Brenner Muslera, Maria Jose Perez Nuques
article en

Abstract

Background: Left atrial (LA) strain, measured by two-dimensional speckle tracking (2D-STE), has not been explored in lymphoma patients before anthracycline treatment as a prognostic marker for predicting future major adverse cardiovascular effects (MACE), heart failure, cardiotoxicity, and all-cause mortality after treatment. Hypothesis: Can an abnormal baseline LA peak reservoir strain (LA RS) measured before anthracycline chemotherapy predict MACE, heart failure, cardiotoxicity, and all-cause mortality in lymphoma patients? Methods: A retrospective cohort study was conducted including 104 patients diagnosed with Hodgkin and non-Hodgkin lymphoma, enrolled and followed from January 1, 2013, to June 30, 2023. LA RS was measured in a dedicated 4 chamber view (TomTec Imaging Systems, Unterschleissheim, Germany), abnormal values defined as less than 35%. Univariate Cox regression analyses were performed to assess whether the LA RS was associated with the development of MACE, cardiotoxicity, heart failure, and all-cause mortality. Multivariable Cox regression models were used to adjust for comorbidities. Associations with outcomes were evaluated using the Kaplan-Meier method and Cox regression. Results: Among 104 patients (mean age of 59 years; [IQR], 49–70), 69 (66.3%) were male and 102 (98.1%) were white. MACE occurred in 19 patients, heart failure in 14 patients, and cardiotoxicity was observed in 4 patients. Additionally, all-cause mortality was found in 19 patients (18.3%). Abnormal LA RS was significantly associated with increased all-cause mortality (HR 3.12, 95% CI 1.02–9.53, p=0.0454) (Figure c), even after adjusting for hypertension, dyslipidemia, smoking status, gender and age (Figure d). No significant associations were found between LA RS and MACE (HR 1.42, 95% CI 0.56-3.62, p=0.4604) (Figure a), heart failure (HR 1.12, 95% CI 0.38-3.24, p=0.8299), or cardiotoxicity (HR 3.23, 95% CI 0.33-31.47, p=0.3128) (Figure b). Conclusions: Abnormal baseline LA strain measured by echocardiography is an independent predictor of all-cause mortality in lymphoma patients. These findings support the use of LA strain assessment into initial risk stratification protocols, providing particular value in identifying patients at increased risk of mortality.

CirculationVol. 152(Suppl_3)
Mayo Clinic (US), University of Minnesota Rochester (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 51%
Chemotherapy-induced cardiotoxicity and mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.