Does a model incorporating clinical and 123I-mIBG imaging data reliably predict heart failure death and arrhythmic events in patients with chronic heart failure?
Patients with chronic heart failure (CHF)
Risk stratification model incorporating clinical and 123I-mIBG imaging data
Heart failure death (HFD) and arrhythmic events (ArEs)hard clinical
A multinomial logistic model using clinical and 123I-mIBG imaging data can reliably and separately predict heart failure death and arrhythmic events in patients with chronic heart failure.
A practical, interpretable model incorporating clinical and 123I-mIBG imaging data enabled reliable and separate prediction of HFD and ArEs, supporting personalized risk stratification in CHF.
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Nakajima et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75c06c6e9836116a24618 — DOI: https://doi.org/10.1007/s00259-026-07776-8
Kenichi Nakajima
Cardiac Imaging
Takahiro Doi
Teine Keijinkai Hospital
Tomoaki Nakata
Cardiac Imaging
European Journal of Nuclear Medicine and Molecular Imaging
University of Amsterdam
Kanazawa University
Amsterdam University Medical Centers
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