Machine learning-based nomogram predicts heart failure risk in elderly relapsed/refractory multiple myeloma patients receiving carfilzomib-based therapy.

CHF at baseline (NYHA I/II) was more frequent in the HF group (26.5% vs 18.9%), but did not reach statistical significance in univariate analysis ( P =0.064) and was therefore not included in subsequent multivariable modeling.

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