Exploring the link between overlapping chronic conditions and heart failure in seniors

Heart failure represents one of the most significant global health challenges, affecting millions worldwide and requiring subsequent hospitalization for many patients due to complications. For older adults in particular, heart failure rarely exists in isolation, often appearing alongside other chronic conditions that may compound its effects.

Because of this, the relationship between cardiovascular disease, kidney dysfunction, and metabolic disorders (such as diabetes) has gained increased attention in recent years.

However, most clinical research on this topic has focused primarily on younger populations and excluded adults over 75—despite this demographic representing the majority of real-world heart failure patients. Thus, our understanding of how the overlap of multiple chronic conditions impacts outcomes in older populations with heart failure remains underexplored.

Against this backdrop, a research team led by Assistant Professor Taisuke Nakade from the Juntendo University Graduate School of Medicine, Japan, examined the association between overlapping cardiovascular, kidney, and metabolic conditions on physical function and prognosis in older heart failure patients.

Their paper, published in the European Journal of Preventive Cardiology, examines these relationships in one of the largest studies specifically targeting heart failure patients aged 65 and older exclusively. The study was co-authored by Yuya Matsue, Nobuyuki Kagiyama, and Tohru Minamino, also from the Juntendo University Graduate School of Medicine.

The researchers analyzed data from 1,113 patients with an average age of 80 years who had been hospitalized for heart failure. The team categorized patients based on whether they had none, one, or multiple overlapping conditions among three key areas: atherosclerotic cardiovascular disease, chronic kidney disease, and type 2 diabetes, which were collectively referred to as cardiovascular-kidney-metabolic (CKM) conditions.

While the main outcome was all-cause mortality or rehospitalization due to heart failure, the researchers also assessed physical function through various standardized tests, including walking speed, the ability to rise from a chair, and six-minute walk distance.

The results revealed that nearly half (49.5%) of the patients had two or three overlapping CKM conditions, while only 17.3% had none. Patients with multiple conditions performed significantly worse on physical function tests compared to those with fewer conditions, even after accounting for age, sex, and heart failure severity. Moreover, these patients faced a substantially higher risk of death or rehospitalization within two years following discharge.

To validate their findings, the team conducted an external validation using a separate cohort of 558 patients, which confirmed the results of the main study. This dual-cohort approach strengthens the reliability of the conclusions and their applicability to broader populations of older heart failure patients.

“The implications of our study are twofold. For society, the findings support early identification of vulnerable individuals, enabling timely intervention and reducing the burden of rehospitalization and long-term care,” notes Dr. Nakade.

“Meanwhile, for the health care industry, this research provides a cost-effective and accessible method for risk stratification without requiring advanced diagnostics, which is particularly valuable in settings with limited resources.”

To clarify this last point, incorporating CKM overlap assessment into clinical practice requires no specialized equipment or complex procedures. It is a simple evaluation that provides valuable insight into which patients may benefit most from closer monitoring and targeted interventions, such as exercise programs or nutritional support.

“By proposing a clinically feasible way to assess risk in older adults, this study contributes to improving patient outcomes, optimizing resource allocation, and promoting more sustainable health care systems,” concludes Dr. Nakade.

Hopefully, as populations continue to age worldwide, researchers will bridge more existing gaps between clinical trials and real-world patient demographics, leading to better health care services for vulnerable individuals.

Provided by
Juntendo University Research Promotion Center

Heart failure represents one of the most significant global health challenges, affecting millions worldwide and requiring subsequent hospitalization for many patients due to complications. For older adults in particular, heart failure rarely exists in isolation, often appearing alongside other chronic conditions that may compound its effects.

Because of this, the relationship between cardiovascular disease, kidney dysfunction, and metabolic disorders (such as diabetes) has gained increased attention in recent years.

However, most clinical research on this topic has focused primarily on younger populations and excluded adults over 75—despite this demographic representing the majority of real-world heart failure patients. Thus, our understanding of how the overlap of multiple chronic conditions impacts outcomes in older populations with heart failure remains underexplored.

Against this backdrop, a research team led by Assistant Professor Taisuke Nakade from the Juntendo University Graduate School of Medicine, Japan, examined the association between overlapping cardiovascular, kidney, and metabolic conditions on physical function and prognosis in older heart failure patients.

Their paper, published in the European Journal of Preventive Cardiology, examines these relationships in one of the largest studies specifically targeting heart failure patients aged 65 and older exclusively. The study was co-authored by Yuya Matsue, Nobuyuki Kagiyama, and Tohru Minamino, also from the Juntendo University Graduate School of Medicine.

The researchers analyzed data from 1,113 patients with an average age of 80 years who had been hospitalized for heart failure. The team categorized patients based on whether they had none, one, or multiple overlapping conditions among three key areas: atherosclerotic cardiovascular disease, chronic kidney disease, and type 2 diabetes, which were collectively referred to as cardiovascular-kidney-metabolic (CKM) conditions.

While the main outcome was all-cause mortality or rehospitalization due to heart failure, the researchers also assessed physical function through various standardized tests, including walking speed, the ability to rise from a chair, and six-minute walk distance.

The results revealed that nearly half (49.5%) of the patients had two or three overlapping CKM conditions, while only 17.3% had none. Patients with multiple conditions performed significantly worse on physical function tests compared to those with fewer conditions, even after accounting for age, sex, and heart failure severity. Moreover, these patients faced a substantially higher risk of death or rehospitalization within two years following discharge.

To validate their findings, the team conducted an external validation using a separate cohort of 558 patients, which confirmed the results of the main study. This dual-cohort approach strengthens the reliability of the conclusions and their applicability to broader populations of older heart failure patients.

“The implications of our study are twofold. For society, the findings support early identification of vulnerable individuals, enabling timely intervention and reducing the burden of rehospitalization and long-term care,” notes Dr. Nakade.

“Meanwhile, for the health care industry, this research provides a cost-effective and accessible method for risk stratification without requiring advanced diagnostics, which is particularly valuable in settings with limited resources.”

To clarify this last point, incorporating CKM overlap assessment into clinical practice requires no specialized equipment or complex procedures. It is a simple evaluation that provides valuable insight into which patients may benefit most from closer monitoring and targeted interventions, such as exercise programs or nutritional support.

“By proposing a clinically feasible way to assess risk in older adults, this study contributes to improving patient outcomes, optimizing resource allocation, and promoting more sustainable health care systems,” concludes Dr. Nakade.

Hopefully, as populations continue to age worldwide, researchers will bridge more existing gaps between clinical trials and real-world patient demographics, leading to better health care services for vulnerable individuals.

Provided by
Juntendo University Research Promotion Center