Rationale, Design, and Feasibility of a Prospective Multicenter Registry Study of Anthracycline-Induced Cardiotoxicity (AIC Registry).
Keiko InoueNoriko IidaKazuko TajiriHiroko BandoShigeru ChibaNobutaka TasakaKenji NagashioRumi SasamuraHiroyuki NaitoMomoko MurataSiqi LiTomoko IshizuYoko NakazawaIkuo SekineMasaki IedaPublished in: Journal of clinical medicine (2021)
As the number of cancer survivors increases, cardiac management in anthracycline-treated patients has become more important. We planned to conduct a prospective multicenter registry study for comprehensive echocardiographic and biomarker data collection and an evaluation of the current practice in terms of diagnosis and management of anthracycline-induced cardiotoxicity (AIC registry). To examine the feasibility of this registry study, we analyzed the 1-year follow-up data of 97 patients registered during the first year of this registry. The AIC registry was launched in July 2016. Data on echocardiographic parameters (e.g., two-and three-dimensional [(2- and 3-D) left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS)) and biomarkers (e.g., troponin T and brain natriuretic peptide) were collected before anthracycline treatment, every 3 months during the first year after starting anthracycline, and every 6 months during the second year. Eighty-three patients (86%) completed a 1-year follow-up. The measurable rates of 2D LVEF, 3D LVEF, and GLS on each visit were nearly optimal (100%, 86-93%, and 84-94%, respectively). During the 1-year follow-up, 5 patients (6.0%) developed cardiotoxicity (a reduction in LVEF ≥ 10 percentage points from baseline and <55%). The AIC registry study is feasible and will be the first study to collect sizable echocardiographic and biomarker data on cardiotoxicity in Japanese patients treated with anthracycline in a real-world setting.
Keyphrases
- ejection fraction
- end stage renal disease
- left ventricular
- aortic stenosis
- newly diagnosed
- chronic kidney disease
- heart failure
- peritoneal dialysis
- clinical trial
- oxidative stress
- cross sectional
- mitral valve
- patient reported outcomes
- left atrial
- deep learning
- diabetic rats
- artificial intelligence
- brain injury
- aortic valve
- smoking cessation
- double blind
- subarachnoid hemorrhage