March 3, 2026Open Access

Stratifying risk of heart failure death and arrhythmic events: a ¹²³I-meta-iodobenzylguanidine-based multinomial logistic model

Puntos clave

Reliable prediction of heart failure death (HFD) and arrhythmic events (ArEs) is achievable using clinical and imaging data.
The model incorporates 123I-mIBG imaging data alongside clinical parameters for risk stratification.

PICO estructurado

Does a model incorporating clinical and 123I-mIBG imaging data reliably predict heart failure death and arrhythmic events in patients with chronic heart failure?

Población

Patients with chronic heart failure (CHF)

Intervención

Risk stratification model incorporating clinical and 123I-mIBG imaging data

Resultado

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.

Resumen

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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Cite This Study

Nakajima et al. (Thu,) studied this question.

synapsesocial.com/papers/69a75c06c6e9836116a24618 https://doi.org/https://doi.org/10.1007/s00259-026-07776-8

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