Early detection of subclinical heart disease via nonlinear heart rate variability in a doxorubicin-induced cardiomyopathy experimental model in dogs
Mizuki Hasegawa, Mayuko Sasaki, Yui Umemoto, Rio Hayashi, Akari Hatanaka, Marino Hosoki, Ahmed Farag, Lina Hamabe, Kazumi Shimada, Katsuhiro Matsuura, Tomohiko Yoshida, Ken Takahashi, Ryou Tanaka

TL;DR
This study shows that nonlinear heart rate variability analysis can detect early signs of heart damage in dogs treated with doxorubicin, before changes appear in standard tests.
Contribution
The study demonstrates that nonlinear HRV analysis can detect subclinical heart disease in dogs before structural changes are visible.
Findings
Nonlinear HRV analysis detected increased sympathetic activity in dogs after doxorubicin treatment.
Standard echocardiography and ECG showed no significant changes in heart function.
Poincaré plot parameters changed significantly, indicating early heart disease detection potential.
Abstract
Echocardiography is the first choice for assessing the structure and function of the heart, but it is unclear for detecting subclinical changes. In recent years, abnormal heart rate variability (HRV) has received attention for its ability to identify patients at risk for developing heart failure. HRV analysis in veterinary medicine is predominantly limited to linear analysis, which primarily reflects advanced heart disease. In contrast, nonlinear HRV analysis holds the potential for early detection of heart disease, but its quantitative evaluation remains rare. This study aimed to evaluate the feasibility of using HRV for the early heart disease detection in clinical settings, with a focus on doxorubicin (DXR)-induced myocardial damage in dogs. Six healthy female dogs with no abnormalities on physical examination, blood pressure, electrocardiography (ECG) and echocardiography were…
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Taxonomy
TopicsHeart Rate Variability and Autonomic Control · Cardiovascular Conditions and Treatments · Heart rate and cardiovascular health
