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The NT-proBNP/hs-cTnT Ratio Identifies Distinct Hemodynamic Phenotypes in Wild-type Transthyretin Cardiac Amyloidosis: a multicenter Italian study

This multicenter Italian study demonstrates that the NT-proBNP/hs-cTnT ratio stratifies patients with wild-type transthyretin cardiac amyloidosis into three distinct hemodynamic phenotypes characterized by progressively worsening cardiac function, renal impairment, and atrial fibrillation prevalence.

Original authors: Federica Bellini, Daniela Di Lisi, Emilio Nardi, Carola Maria Gagliardo, Gabriele Di Gesaro, Antonina Giammanco, Lucio Teresi, Francesca Macaione, Luigi Colarusso, Roberto Licordari, Angelo Baldassare
Published 2026-10-19
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Original authors: Federica Bellini, Daniela Di Lisi, Emilio Nardi, Carola Maria Gagliardo, Gabriele Di Gesaro, Antonina Giammanco, Lucio Teresi, Francesca Macaione, Luigi Colarusso, Roberto Licordari, Angelo Baldassare Cefalù, Gianluca Di Bella, Giuseppina Novo, Davide Noto

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

In the aging heart, a quiet and often overlooked trouble can take hold. As people grow older, a specific type of protein can begin to misfold and clump together, settling into the thick walls of the heart muscle. This condition, known as wild-type transthyretin cardiac amyloidosis, turns the heart into a stiff, heavy pump that struggles to fill with blood and push it out to the rest of the body. It is a progressive disease that mimics a thickening of the heart muscle, making it harder for the organ to do its job. To understand how this disease is affecting a patient, doctors rely on two different signals from the blood. One signal rises when the heart is stretched and working too hard, while the other rises when the heart muscle itself is being damaged or injured. For a long time, doctors have looked at these signals separately, but a new question has emerged: what happens if we look at the relationship between them?

A team of researchers from three major medical centers in Italy set out to explore this relationship in a group of seventy patients who had already been diagnosed with this specific heart condition. The study focused on elderly patients, with an average age of just over eighty years, and a majority were men. The researchers did not simply look at a single blood test from one day; instead, they gathered the typical or median values from all the visits each patient had made over time. This approach allowed them to build a clearer picture of each person's usual state. They then divided the patients into three groups based on the ratio between the two blood signals: the level of the stress marker divided by the level of the injury marker. This simple calculation created three distinct categories, ranging from a low ratio to a high ratio.

The results revealed that these three groups were not just different numbers on a page; they represented three very different stories of heart failure. The first group, with the lowest ratio, had hearts that were still pumping with normal strength. These patients had better kidney function and were less likely to have an irregular heartbeat. The second group, sitting in the middle, showed signs that their kidneys were struggling more, and they had a much higher rate of irregular heartbeats and devices implanted to manage their rhythm. The third group, with the highest ratio, told the most concerning story. Their hearts were no longer pumping with full force, the muscle fibers were failing to stretch and squeeze properly, and the right side of the heart was showing weakness. Most notably, this group had the poorest kidney function of all.

What makes this finding significant is that the level of actual heart muscle damage remained roughly the same across all three groups. The difference lay entirely in how much stress the heart was under. The patients with the highest ratio were experiencing a massive amount of strain relative to the amount of injury, which pointed to a specific type of severe heart failure involving the right side of the heart and poor kidney function. The researchers found that this single ratio could sort patients into these distinct profiles with remarkable clarity. While the study is a first step and calls for larger, future research to confirm these patterns, it suggests that looking at the balance between these two blood signals can help doctors see the specific shape of the disease in each patient. This distinction could be vital for understanding who is at risk for which complications, moving beyond a one-size-fits-all view of this complex condition.

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