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. 2024 Oct;11(5):3133-3145.
doi: 10.1002/ehf2.14904. Epub 2024 Jun 12.

Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure

Affiliations

Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure

Jiajun Qiu et al. ESC Heart Fail. 2024 Oct.

Abstract

Aims: The value of the systemic immune-inflammatory index (SII) in assessing adverse outcomes in various cardiovascular diseases has been extensively discussed. This study aims to evaluate the predictive value and risk stratification ability of SII for 30 day mortality in patients with acute decompensated heart failure (ADHF).

Methods: This analysis included 1452 patients hospitalized for ADHF, all the participants being part of the China Jiangxi-acute decompensated heart failure1 project. The risk stratification capability of the SII in patients with ADHF, as well as its correlation with the 30 day mortality risk among ADHF patients, was evaluated utilizing Kaplan-Meier survival analysis and multivariable Cox regression models. A restricted cubic spline was employed to model the dose-response relationship between the two, and the receiver operating characteristic curve was utilized to assess the predictive ability of SII for 30 day mortality.

Results: The Kaplan-Meier analysis revealed that the risk of mortality in the high SII group (SII ≥ 980 × 109/L) was significantly greater than that in the low SII group (SII < 980 × 109/L, log-rank P < 0.001). After adjusting for various confounding factors, a higher SII was associated with an increased risk of 30 day mortality in ADHF patients [hazard ratio (HR) = 2.03, 95% confidence interval (CI): 1.34-3.08]. Further restricted cubic spline analysis revealed a non-linear dose-response relationship between the two (P for non-linear = 0.006). Receiver operating characteristic analysis demonstrated that SII had a high accuracy in predicting 30 day mortality events in ADHF patients (AUC = 0.7479), and the optimal predictive threshold was calculated to be 980 × 109/L, a sensitivity of 0.7547 and a specificity of 0.7234.

Conclusions: This study found a significant positive association between SII and 30 day all-cause mortality in ADHF patients. We determined the SII cut-off point for predicting 30 day all-cause mortality in patients with ADHF to be 980 × 109/L.

Keywords: ADHF; SII; acute decompensated heart failure; short‐term prognostic; systemic immune‐inflammatory index.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart for inclusion and exclusion of study participants. CKD, chronic kidney disease; JX‐ADHF1, Jiangxi‐acute decompensated heart failure1; SII, systemic immune‐inflammatory index.
Figure 2
Figure 2
Cumulative survival rate curves of acute decompensated heart failure patients in the high systemic immune‐inflammatory index (SII) group and the low SII group.
Figure 3
Figure 3
Fitting the dose–response relationship between systemic immune‐inflammatory index (SII) and 30 day all‐cause mortality in acute decompensated heart failure patients with four knots of restricted cubic spline. Adjusted for sex, age, hypertension, diabetes, cerebral infarction, coronary heart disease, left atrial diameter, left ventricular end‐diastolic diameter, systolic blood pressure, diastolic blood pressure, New York Heart Association classification, N‐terminal pro‐brain natriuretic peptide, albumin, globulin, creatinine, blood urea nitrogen, uric acid, aspartate aminotransferase, gamma‐glutamyl transferase, triglyceride, high‐density lipoprotein cholesterol and low‐density lipoprotein cholesterol.
Figure 4
Figure 4
Receiver operating characteristic (ROC) analysis shows the predictive value of the systemic immune‐inflammatory index for 30 day all‐cause mortality in acute decompensated heart failure patients. AUC, area under the curve.

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