Assessing the relationship between systemic immune-inflammation index and mortality in patients with hypertrophic cardiomyopathy

Wang, Ziqiong; Ruan, Haiyan; Li, Liying; Wei, Xin; Zhu, Ye; Wei, Jiafu; Chen, Xiaoping; He, Sen

doi:10.48101/ujms.v126.8124

Cited by 7 publications

(6 citation statements)

References 31 publications

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“…41 Wang Z found that SII index was a significant risk factor for all-cause mortality in HCM patients. 42 Agus HZ also revealed that high SII levels are independently associated with in-hospital mortality and patients with infective endocarditis were predicted well by the SII index. 43 The high SII index levels can predict an increased risk of 30-day and 90-day in-hospital mortality, as well as major adverse cardiac events in critically ill CHF patients.…”

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confidence: 94%

Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study

Xiao¹,

Wang²,

Zuo³

et al. 2023

JIR

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Our research was designed to investigate the relationship between systemic immune inflammation (SII) index and allcause, cardiovascular disease (CVD), and cancer-related mortality in patients with CVD. Methods: We used the National Health and Nutrition Examination Survey data from 1999 to 2018 to conduct this study. The association between SII index and all-cause, CVD, and cancer-related mortality in patients with CVD was examined using restricted cubic splines (RCS), Cox proportional hazard models, and subgroup analysis, respectively. CVD was defined as a composite of five outcomes of CVD, including coronary heart disease (CHD), congestive heart failure (CHF), angina pectoris, myocardial infarction, and stroke. Additionally, the link between SII index and all-cause, CVD, and cancer-related mortality in patients with a composite of five outcomes of CVD was also explored. Results: In total, 5329 participants were included. The RCS also showed a U-curve correlation between SII index and the all-cause, CVD, and cancer-related mortality in patients with CVD. As compared with the individuals with lowest quartile of SII index, hazard ratios with 95% confidence intervals for all-cause, CVD, and cancer-related mortality across the quartiles were (1

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confidence: 94%

Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study

Xiao¹,

Wang²,

Zuo³

et al. 2023

JIR

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“…[19–23] Several studies demonstrated that higher SII was an important prognostic and predictive marker in various cardiovascular diseases such as: severity of CAD in patients with stable angina pectoris [7] aortic stenosis patients who underwent transcatheter aortic valve implantation [24] and hypertrophic cardiomyopathy. [18] All these results demonstrate the importance of SII in inflammation which has an essential role in the development of cardiovascular events.…”

Section: Discussionmentioning

confidence: 81%

“…Furthermore, since a LV thrombus can already be identified during hospitalization period following acute MI, identification of early predictors of LV thrombus is required. [16] Recently, Hu et al [17,18] have advanced an easily accessible inflammation-based marker called the SII that brings together 3 inflammatory peripheral cell counts to consider patients' immune and inflammatory status together based on routine blood tests. It has been widely studied in different cancers and SII was shown to be a strong predictor of worse clinical outcomes in cancer patients and several other disease states.…”

Section: Discussionmentioning

confidence: 99%

The relation between apical thrombus formation and systemic immune-inflammation index in patients with acute anterior myocardial infarction

Tok¹,

Ekizler²,

Tak³

2022

Medicine

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Left ventricular (LV) apical thrombus formation is a well described and clinically important complication of acute myocardial infarction (MI) with a substantial risk of thromboembolism. Alterations in the inflammatory status may contribute to this complication. The aim of this study was to evaluate the predictive role of the systemic immune-inflammation index (SII) in identifying high risk patients who will develop an apical thrombus formation during the acute phase of anterior transmural infarction. Consecutive 1753 patients (mean age: 61.5 ± 9.6 years; male: 63.8 %) with first acute anterior MI who underwent primary percutaneous coronary intervention were assessed. Patients were divided into 2 groups according to the presence of apical thrombus. SII was calculated using the following equation: neutrophil (N) × platelet (P) ÷ lymphocyte (L). LV apical thrombus was detected on transthoracic echocardiogram in 99 patients (5.6%). Patients with an apical thrombus had lower LV ejection fraction, prolonged time from symptoms to treatment, higher rate of post-percutaneous coronary intervention thrombolysis in myocardial infarction flow ≤1 and significantly higher mean high-sensitivity C-reactive protein, and SII values and lower lymphocyte than those without an apical thrombus. Admission SII level was found to be a significant predictor for early LV apical thrombus formation complicating a first-ever anterior MI. This simple calculated tool may be used to identify high-risk patients for LV thrombus and individualization of targeted therapy.

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“…Resident memory T cells are an integral component of the immune sensing network, participating in protecting individuals from various pathogenic mechanisms 36 . During the development of HCM, changes in myocardial tissue are specified in three phases, including the activation of fibrotic pathways and platelet in the intermediate phase, which may be associated with the phenotypic variability of HCM 37 . The human heart contains a resident macrophage population that expands in response to damage.…”

Section: Discussionmentioning

confidence: 99%

Machine learning‐driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy

Liu,

Yuan,

Zheng

et al. 2024

ESC Heart Failure

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AimsIn an era of evolving diagnostic possibilities, existing diagnostic systems are not fully sufficient to promptly recognize patients with early‐stage hypertrophic cardiomyopathy (HCM) without symptomatic and instrumental features. Considering the sudden death of HCM, developing a novel diagnostic model to clarify the patients with early‐stage HCM and the immunological characteristics can avoid misdiagnosis and attenuate disease progression.Methods and resultsThree hundred eighty‐five samples from four independent cohorts were systematically retrieved. The weighted gene co‐expression network analysis, differential expression analysis (|log2(foldchange)| > 0.5 and adjusted P < 0.05), and protein–protein interaction network were sequentially performed to identify HCM‐related hub genes. With a machine learning algorithm, the least absolute shrinkage and selection operator regression algorithm, a stable diagnostic model was developed. The immune‐cell infiltration and biological functions of HCM were also explored to characterize its underlying pathogenic mechanisms and the immune signature. Two key modules were screened based on weighted gene co‐expression network analysis. Pathogenic mechanisms relevant to extracellular matrix and immune pathways have been discovered. Twenty‐seven co‐regulated genes were recognized as HCM‐related hub genes. Based on the least absolute shrinkage and selection operator algorithm, a stable HCM diagnostic model was constructed, which was further validated in the remaining three cohorts (n = 385). Considering the tight association between HCM and immune‐related functions, we assessed the infiltrating abundance of various immune cells and stromal cells based on the xCell algorithm, and certain immune cells were significantly different between high‐risk and low‐risk groups.ConclusionsOur study revealed a number of hub genes and novel pathways to provide potential targets for the treatment of HCM. A stable model was developed, providing an efficient tool for the diagnosis of HCM.

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Assessing the relationship between systemic immune-inflammation index and mortality in patients with hypertrophic cardiomyopathy

Cited by 7 publications

References 31 publications

Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study

Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study

The relation between apical thrombus formation and systemic immune-inflammation index in patients with acute anterior myocardial infarction

Machine learning‐driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy

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