The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Fan, Wenjun; Wei, Chen; Liu, Yixiang; Sun, Qing‐Yuan; Tian, Yanan; Wang, Xinchen; Liu, Jingyi; Zhang, Ying; Sun, Lixian

doi:10.1177/10760296221146183

Cited by 26 publications

(18 citation statements)

References 38 publications

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“…The study points out that elevated levels of inflammatory markers are commonly found in older adults, and inflammation may be a primary factor leading to frailty (40, 41). The association between changes in the immune system and frailty involves multiple pathways, with neutrophils being a crucial biomarker for innate immunity, platelets potentially contributing to immune function, and lymphocytes providing rich information about adaptive immunity (42,43). SII and SIRI have demonstrated exceptional validity as emerging biomarkers in various diseases (44).…”

Section: Discussionmentioning

confidence: 99%

“…The association between changes in the immune system and frailty involves multiple pathways, with neutrophils being a crucial biomarker for innate immunity, platelets potentially contributing to immune function, and lymphocytes providing rich information about adaptive immunity ( 42 , 43 ). SII and SIRI have demonstrated exceptional validity as emerging biomarkers in various diseases ( 44 ). SII’s predictive ability for major cardiovascular events in coronary heart disease patients undergoing coronary intervention surpasses traditional risk factors ( 45 ).…”

Section: Discussionmentioning

confidence: 99%

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Association of two novel systemic inflammatory biomarkers and frailty based on NHANES 2007–2018

Zhang,

Liu,

Wang

et al. 2024

Front. Public Health

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BackgroundFrailty is a significant concern in the field of public health. However, currently, there is a lack of widely recognized and reliable biological markers for frailty. This study aims to investigate the association between systemic inflammatory biomarkers and frailty in the older adult population in the United States.MethodsThis study employed data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018 and conducted a rigorous cross-sectional analysis. We constructed weighted logistic regression models to explore the correlation between the Systemic Immune-Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), and frailty in the population aged 40 to 80 years. Using restricted cubic spline (RCS), we successfully visualized the relationship between SII, SIRI, and frailty. Finally, we presented stratified analyses and interaction tests of covariates in a forest plot.ResultsThis study involved 11,234 participants, 45.95% male and 54.05% female, with an average age of 64.75 ± 0.13 years. After adjusting for relevant covariates, the weighted logistic regression model indicated an odds ratio (OR) and 95% confidence interval(CI) for the correlation between frailty and the natural logarithm (ln) transformed lnSII and lnSIRI as 1.38 (1.24–1.54) and 1.69 (1.53–1.88), respectively. Subsequently, we assessed different levels of lnSII and lnSIRI, finding consistent results. In the lnSII group model, the likelihood of frailty significantly increased in the fourth quartile (OR = 1.82, 95% CI: 1.55–2.12) compared to the second quartile. In the lnSIRI group model, the likelihood of frailty significantly increased in the third quartile (OR = 1.30, 95% CI: 1.10–1.53) and fourth quartile (OR = 2.29, 95% CI: 1.95–2.70) compared to the second quartile. The interaction results indicate that age and income-to-poverty ratio influence the association between lnSIRI and frailty. RCS demonstrated a nonlinear relationship between lnSII, lnSIRI, and frailty.ConclusionThe results of this cross-sectional study indicate a positive correlation between systemic inflammatory biomarkers (SII, SIRI) and frailty.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Association of two novel systemic inflammatory biomarkers and frailty based on NHANES 2007–2018

Zhang,

Liu,

Wang

et al. 2024

Front. Public Health

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“…SIRI combines neutrophils, monocytes, and lymphocytes to represent the balance between inflammation activators and regulators in the host. Composite indicators are more stable than single indicators, and high SIRI status reflects mediated by monocytes and neutrophils and a weak anti-inflammatory response mediated by lymphocyte ( 59 ). To the best of our knowledge, this is the first study to report the role of SIRI in hypertension in PLWH and the correlations between SIRI and T cells.…”

Section: Discussionmentioning

confidence: 99%

Inflammation markers and the risk of hypertension in people living with HIV

Ouyang

Luo

et al. 2023

Front. Immunol.

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BackgroundThe incidence of hypertension is high in people living with HIV (PLWH). High-sensitivity C-reactive protein (hsCRP), systemic inflammation response index (SIRI), and neutrophil-to-monocyte ratio (NMR) are considered economic and convenient parameters that reflect the levels of inflammation in patients. Our aim was to explore whether indirect inflammation markers are associated with hypertension in PLWH.MethodsThis was a case-control study. The case group (hypertension) comprised PLWH with hypertension, and the control group (non-hypertension) comprised sex- and age-(± 3 years)-matched PLWH without hypertension. Demographic parameters, hsCRP, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune- inflammation index (SII), SIRI, lymphocyte-to-monocyte ratio (LMR), platelet-to-neutrophil ratio (PNR), platelet-to-monocyte ratio (PMR), NMR, time to HIV diagnosis, antiretroviral therapy (ART) duration, recent CD4+ and CD8+ cell counts, recent CD4+/CD8+ ratio, recent HIV viral load (HIV-RNA),and recent ART regimen were obtained from the patients’ electronic medical records. A t-test or Wilcoxon rank-sum test was performed to compare differences between the two groups, and conditional logistic regression was used to analyze the risk factors of hypertension. Correlations between inflammation markers and CD4+ cell counts, CD8+ cell counts, and CD4+/CD8+ ratio were analyzed using Spearman’s correlation.ResultsIn the hypertension group, body mass index (BMI), hsCRP, NLR, SII, SIRI, NMR, time to HIV diagnosis, ART duration, CD4+ and CD8+ cell counts, and CD4+/CD8+ ratio, the ratio of HIV-RNA < 100 copies/mL were all higher than those in the non-hypertension group, while the PNR was lower than that in the non-hypertension group. ART duration, CD4+ cell counts, HIV-RNA < 100 copies/mL, hsCRP, SIRI, and NMR were positively associated with hypertensive risk in PLWH. CD8+ cell counts and CD4+/CD8+ ratio was negatively associated with hypertensive risk in PLWH. SIRI was negatively correlated with CD4+ cell counts and CD8+ cell counts, but positively correlated with CD4+/CD8+ ratio.ConclusionsWe identified positive associations between inflammation markers hsCRP, SIRI, NMR and hypertensive risk in PLWH. Alleviating inflammation may help control or delay the occurrence of hypertension in PLWH.

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“…Non-ST segment elevated myocardial infarction requires complex pathophysiological mechanisms of systemic/local inflammatory, immunological, and thrombotic systems, which are influential in the formation and progression of atherosclerosis. Among these factors, the study of inflammation and inflammation-based markers has become a prominent topic in recent years [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

The Role of Pan-Immune-Inflammation Value in Determining the Severity of Coronary Artery Disease in NSTEMI Patients

Cetinkaya,

Kelesoglu,

Tuncay

et al. 2024

JCM

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Background: Even though medication and interventional therapy have improved the death rate for non-ST elevation myocardial infarction (NSTEMI) patients, these patients still have a substantial residual risk of cardiovascular events. Early identification of high-risk individuals is critical for improving prognosis, especially in this patient group. The focus of recent research has switched to finding new related indicators that can help distinguish high-risk patients. For this purpose, we examined the relationship between the pan-immune-inflammation value (PIV) and the severity of coronary artery disease (CAD) defined by the SYNTAX score (SxS) in NSTEMI patients. Methods: Based on the SxS, CAD patients were split into three groups. To evaluate the risk variables of CAD, multivariate logistic analysis was employed. Results: The PIV (odds ratio: 1.003; 95% CI: 1.001–1.005; p = 0.005) was found to be an independent predictor of a high SxS in the multivariate logistic regression analysis. Additionally, there was a positive association between the PIV and SxS (r: 0.68; p < 0.001). The PIV predicted the severe coronary lesion in the receiver-operating characteristic curve analysis with a sensitivity of 91% and specificity of 81.1%, using an appropriate cutoff value of 568.2. Conclusions: In patients with non-STEMI, the PIV, a cheap and easily measured laboratory variable, was substantially correlated with a high SxS and the severity of CAD.

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The Prognostic Value of Hematologic Inflammatory Markers in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Cited by 26 publications

References 38 publications

Association of two novel systemic inflammatory biomarkers and frailty based on NHANES 2007–2018

Association of two novel systemic inflammatory biomarkers and frailty based on NHANES 2007–2018

Inflammation markers and the risk of hypertension in people living with HIV

The Role of Pan-Immune-Inflammation Value in Determining the Severity of Coronary Artery Disease in NSTEMI Patients

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