Background: Early recognition of anthracycline-induced cardiomyopathy may reduce morbidity and mortality in children, but risk stratification tools are lacking. This study evaluates whether electrocardiogram (ECG) changes precede echocardiographic abnormalities in children with anthracycline-induced cardiomyopathy.
Methods: We performed a retrospective analysis of 589 pediatric cancer patients who received anthracyclines at a tertiary referral center. ECG endpoints were sum of absolute QRS amplitudes in the 6 limb leads (ΣQRS(6 L)) and corrected QT interval (QTc). Cardiomyopathy was defined by echocardiogram as ejection fraction < 50%, shortening fraction < 26%, or left ventricular end-diastolic diameter z-score > 2.5.
Results: Median age at start of therapy was 7.8 years (IQR 3.7-13.6); median follow-up time was 3.6 years (IQR 1.1-5.8). 19.5% of patients met criteria for cardiomyopathy. Male sex, race, older age at first dose, and larger body surface area were associated with development of cardiomyopathy. A 0.6 mV decrease in ΣQRS(6 L) and 10 ms increase in QTc were associated with an increased risk of developing cardiomyopathy with hazard ratios of 1.174 (95% CI = 1.057-1.304, = 0.003) and 1.098 (95%CI = 1.027-1.173, = 0.006) respectively. Kaplan-Meier estimates showed a lower chance of cardiomyopathy-free survival for QTc ≥ 440 ms and ΣQRS(6 L) ≤ 3.2 mV over time. After controlling for confounders, total anthracycline dose predicted a decrease in ΣQRS(6 L) and an increase in QTc independent of cardiomyopathy status ( = 0.01 and < 0.001 respectively). Cardiotoxic radiation did not predict changes in ECG parameters. Cardiomyopathy was associated with increased mortality (34% versus 12%, < 0.001).
Conclusion: In children receiving anthracyclines, decrease in ΣQRS(6 L) and QTc prolongation are associated with increased risk of developing cardiomyopathy. ECG is a potential non-invasive risk stratification tool for prediction of anthracycline-induced cardiomyopathy and requires prospective validation.
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http://dx.doi.org/10.1186/s40959-019-0045-6 | DOI Listing |
Ir J Med Sci
December 2024
Department of Cardiology, Haseki Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.
Background: The role of NT-proBNP as a cardiac biomarker for predicting short-term major adverse cardiovascular events (MACEs) in acute coronary syndrome (ACS) remains unclear.
Aims: This study investigated the utility of the NT-proBNP level for predicting MACEs within a 6-month period in patients with ACS.
Methods: This prospective study included 241 consecutively enrolled adults with ACS between September 2023 and February 2024.
Cardiol Ther
December 2024
Cardio-Oncology Program, Division of Cardiovascular Medicine, Department of Medicine, Lahey Hospital and Medical Center, 41 Mall Road, Burlington, MA, 01805, USA.
In addition to traditional risk factors, patients with breast cancer are at an increased risk of atrial fibrillation due to cancer itself and certain cancer therapies. Atrial fibrillation in these patients adds to their morbidity and mortality. The precise mechanisms leading to the increased atrial fibrillation in patients with breast cancer are not well understood.
View Article and Find Full Text PDFDiscov Oncol
December 2024
Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Background: Low-grade glioma (LGG) is a slow-growing but invasive tumor that affects brain function. Histone deacetylases (HDACs) play a critical role in gene regulation and tumor progression. This study aims to develop a prognostic model based on HDAC-related genes to aid in risk stratification and predict therapeutic responses.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
December 2024
Department of Nuclear Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, Sichuan, 610041, China.
Purpose: Extranodal natural killer/T-cell lymphoma (ENKTCL) is an hematologic malignancy with prognostic heterogeneity. We aimed to develop and validate DeepENKTCL, an interpretable deep learning prediction system for prognosis risk stratification in ENKTCL.
Methods: A total of 562 patients from four centers were divided into the training cohort, validation cohort and test cohort.
World J Urol
December 2024
Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Background: Traditional grading systems have proven inadequate in stratifying chRCC patients based on recurrence risk. Recently, several novel grading schemes, including three-tiered, two-tiered, and four-tiered systems, have been proposed, but their prognostic value remains controversial and lacks external validation.
Materials And Methods: We included 528 patients with pathologically proven chRCC (chromophobe renal cell carcinoma) from multiple medical institutions and the Cancer Genome Atlas-Kidney Chromophobe cohort.
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