The aggregate index of systemic inflammation (AISI) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in congestive heart failure patients: results from NHANES 1999–2018

Congestive heart failure (CHF) is a prevalent cardiovascular disease, with increasing incidence and mortality rates associated with aging populations and rising rates of chronic diseases. Systemic inflammatory response is recognized to play a pivotal role in the pathogenesis of CHF, and the aggregate index of systemic inflammation (AISI) has garnered widespread attention as a comprehensive indicator reflecting inflammatory status in recent years. However, there is currently a lack of large-scale epidemiological studies investigating the relationship between AISI and all-cause, cardiovascular, and cardio-cerebrovascular mortality risks among CHF patients. This study aims to utilize data from the NHANES database spanning 1999 to 2018 to analyze the association between AISI and prognosis in CHF patients, aiming to provide new evidence to support research into the pathophysiology and clinical management of CHF. This study enrolled 1624 patients aged ≥ 18 years with congestive heart failure (CHF) from the National Health and Nutrition Examination Survey spanning 1999 to 2018. Patients were stratified into four groups based on the aggregate index of systemic inflammation (AISI). Survival differences among the groups were compared using log-rank tests and Kaplan-Meier curves. Additionally, multivariable Cox regression and restricted cubic spline analyses were employed to explore the relationship between AISI and all-cause, cardiovascular, and cardio-cerebrovascular mortality. Overall, during a mean follow-up of 76.4 ± 56.6 months among patients with congestive heart failure, a total of 828 participants (51.042%) died. Among these, 314 (19.389%) deaths were attributed to cardiovascular diseases, and 344 (21.226%) were related to cardio-cerebrovascular mortality. Kaplan-Meier analysis revealed significant differences in all-cause, cardiovascular, and cardio-cerebrovascular mortality among AISI quartiles (log-rank test: all P < 0.001). Multivariable adjusted models demonstrated that participants in the highest AISI quartile had increased risks of all-cause mortality (hazard ratio [HR] = 1.599, 95% confidence interval [CI] 1.595-1.602), cardiovascular mortality (HR = 1.070, 95% CI 1.066-1.074), and cardio-cerebrovascular mortality (HR = 1.173, 95% CI 1.168-1.177) compared to those in the lowest quartile. Additionally, restricted cubic spline analysis indicated a nonlinear association between AISI and all-cause mortality (P = 0.0064), with an inflection point at AISI 8.66. On the left flank of the inflection point, each twofold increase in AISI was associated with a 19.6% higher risk of all-cause mortality (HR = 1.196, 95% CI 0.930-1.538), while on the right flank, there was a 126.2% increase (HR = 2.262, 95% CI 1.506-3.395). Furthermore, each twofold change in AISI was nonlinearly associated with a 60.2% higher risk of cardiovascular mortality (HR = 1.602, 95% CI 1.075-2.388) and a 56.6% higher risk of cardio-cerebrovascular mortality (HR = 1.566, 95% CI 1.072-2.286). E-value analysis suggested robustness to unmeasured confounding. In the population of patients with congestive heart failure aged 18 years and older in the United States, irrespective of established risk factors, AISI was significantly associated with all-cause, cardiovascular, and cardio-cerebrovascular mortality. Further research is needed to validate this.

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Journal
Scientific Reports
Published
2025-05-26
DOI
https://doi.org/10.1038/s41598-025-01196-8
Citations
9
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
Field-Weighted Citation Impact
9.41

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article

The aggregate index of systemic inflammation (AISI) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in congestive heart failure patients: results from NHANES 1999–2018

Lele Cheng, Xiaofang Bai, Huan Wang, Zuyi Yuan et al.
9 citations
Scientific Reports
Inflammatory Biomarkers in Disease Prognosis
9.41
article

The aggregate index of systemic inflammation (AISI) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in congestive heart failure patients: results from NHANES 1999–2018

Lele Cheng, Xiaofang Bai, Huan Wang, Zuyi Yuan, Juan Zhou, Yangyang Deng, Wen Wen, Xiaojun Liu, Xiaoning Tong
article en
9 citations

Abstract

Congestive heart failure (CHF) is a prevalent cardiovascular disease, with increasing incidence and mortality rates associated with aging populations and rising rates of chronic diseases. Systemic inflammatory response is recognized to play a pivotal role in the pathogenesis of CHF, and the aggregate index of systemic inflammation (AISI) has garnered widespread attention as a comprehensive indicator reflecting inflammatory status in recent years. However, there is currently a lack of large-scale epidemiological studies investigating the relationship between AISI and all-cause, cardiovascular, and cardio-cerebrovascular mortality risks among CHF patients. This study aims to utilize data from the NHANES database spanning 1999 to 2018 to analyze the association between AISI and prognosis in CHF patients, aiming to provide new evidence to support research into the pathophysiology and clinical management of CHF. This study enrolled 1624 patients aged ≥ 18 years with congestive heart failure (CHF) from the National Health and Nutrition Examination Survey spanning 1999 to 2018. Patients were stratified into four groups based on the aggregate index of systemic inflammation (AISI). Survival differences among the groups were compared using log-rank tests and Kaplan-Meier curves. Additionally, multivariable Cox regression and restricted cubic spline analyses were employed to explore the relationship between AISI and all-cause, cardiovascular, and cardio-cerebrovascular mortality. Overall, during a mean follow-up of 76.4 ± 56.6 months among patients with congestive heart failure, a total of 828 participants (51.042%) died. Among these, 314 (19.389%) deaths were attributed to cardiovascular diseases, and 344 (21.226%) were related to cardio-cerebrovascular mortality. Kaplan-Meier analysis revealed significant differences in all-cause, cardiovascular, and cardio-cerebrovascular mortality among AISI quartiles (log-rank test: all P < 0.001). Multivariable adjusted models demonstrated that participants in the highest AISI quartile had increased risks of all-cause mortality (hazard ratio [HR] = 1.599, 95% confidence interval [CI] 1.595-1.602), cardiovascular mortality (HR = 1.070, 95% CI 1.066-1.074), and cardio-cerebrovascular mortality (HR = 1.173, 95% CI 1.168-1.177) compared to those in the lowest quartile. Additionally, restricted cubic spline analysis indicated a nonlinear association between AISI and all-cause mortality (P = 0.0064), with an inflection point at AISI 8.66. On the left flank of the inflection point, each twofold increase in AISI was associated with a 19.6% higher risk of all-cause mortality (HR = 1.196, 95% CI 0.930-1.538), while on the right flank, there was a 126.2% increase (HR = 2.262, 95% CI 1.506-3.395). Furthermore, each twofold change in AISI was nonlinearly associated with a 60.2% higher risk of cardiovascular mortality (HR = 1.602, 95% CI 1.075-2.388) and a 56.6% higher risk of cardio-cerebrovascular mortality (HR = 1.566, 95% CI 1.072-2.286). E-value analysis suggested robustness to unmeasured confounding. In the population of patients with congestive heart failure aged 18 years and older in the United States, irrespective of established risk factors, AISI was significantly associated with all-cause, cardiovascular, and cardio-cerebrovascular mortality. Further research is needed to validate this.

Scientific ReportsVol. 15(1)
First Affiliated Hospital of Xi'an Jiaotong University (CN), First Affiliated Hospital of Chengdu Medical College (CN)
Natural Science Foundation of Shaanxi Province
Good health and well-being
Openalex Percentile: Top 2%
Inflammatory Biomarkers in Disease Prognosis
9.41
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