Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Jan. 2, 2024

Abstract Background There is an increasing awareness that diet-related inflammation may have impact on the stroke. Herein, our goal was to decipher association of dietary inflammatory index (DII) with stroke in US general population. Methods We collected cross-sectional data 44,019 participants National Health and Nutrition Examination Survey (NHANES) 1999–2018. The DII estimated using weighted multivariate logistic regression, its nonlinearity being examined by restricted cubic spline (RCS) regression. least absolute shrinkage selection operator (LASSO) regression applied for identifying key stroke-related factors, which then included establishment a risk prediction nomogram model, receiver operating characteristic (ROC) curve built evaluate discriminatory power Results After confounder adjustment, adjusted odds ratios (ORs) 95% confidence intervals (CIs) across higher quartiles were 1.19 (0.94–1.54), 1.46 (1.16–1.84), 1.87 (1.53–2.29) compared lowest quartile, respectively. RCS showed nonlinear positive between model based factors identified LASSO displayed considerable predicative value stroke, area under (AUC) 79.8% (78.2–80.1%). Conclusions Our study determined Given intrinsic limitations design, it necessary conduct more research ensure causality such association.

Language: Английский

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Unraveling the clinical significance and prognostic value of the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, systemic inflammation response index, and delta neutrophil index: An extensive literature review

Turkish Journal of Emergency Medicine, Journal Year: 2024, Volume and Issue: 24(1), P. 8 - 19

Published: Jan. 1, 2024

In the field of critical care medicine, substantial research efforts have focused on identifying high-risk patient groups. This has led to development diverse diagnostic tools, ranging from basic biomarkers complex indexes and predictive algorithms that integrate multiple methods. Given ever-evolving landscape driven by rapid advancements, changing treatment strategies, emerging diseases, validation tools remains an ongoing dynamic process. Specific changes in complete blood count components, such as neutrophils, lymphocytes, monocytes, platelets, are key immune system responses influenced various factors crucial systemic inflammation, injury, stress. It been reported indices neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), immune-inflammation index (SII), inflammation response (SIRI), delta neutrophil calculated using ratios these elements, important predictors outcomes conditions where inflammatory process is at forefront. this narrative review, we concluded NLR, PLR, SII, SIRI show promise predicting for different health related inflammation. While tests accessible, reliable, cost-effective, their standalone performance a specific condition limited.

Language: Английский

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Association between systemic immune inflammation index, systemic inflammation response index and adult psoriasis: evidence from NHANES

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 13, 2024

Background The systemic immune-inflammation index (SII) and inflammation response (SIRI) are both novel biomarkers predictors of inflammation. Psoriasis is a skin disease characterized by chronic This study aimed to investigate the potential association between SII, SIRI, adult psoriasis. Methods Data adults aged 20 80 years from National Health Nutrition Examination Survey (NHANES) (2003–2006, 2009–2014) were utilized. K-means method was used group SII SIRI into low, medium, high-level clusters. Additionally, or levels categorized three groups: low (1 st -3 rd quintiles), medium (4 th quintile), high (5 quintile). SII-SIRI pattern, individually, psoriasis assessed using multivariate logistic regression models. results presented as odds ratios (ORs) confidence intervals (CIs). Restricted cubic spline (RCS) regression, subgroup, interaction analyses also conducted explore non-linear independent relationships natural log-transformed (lnSII) psoriasis, respectively. Results Of 18208 included in study, 511 (2.81%) diagnosed with Compared low-level participants medium-level had significantly higher risk for (OR = 1.40, 95% CI: 1.09, 1.81, p -trend 0.0031). In analysis found be positively associated (high vs. OR 1.52, 1.18, 1.95, 0.0014; 1.48, 1.12, 0.007, respectively). Non-linear observed lnSII/SIRI (both -values overall < 0.05, nonlinearity 0.05). stronger females, obese individuals, people type 2 diabetes, those without hypercholesterolemia. Conclusion We positive associations among U.S. adults. Further well-designed studies needed gain better understanding these findings.

Language: Английский

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A combined analysis of TyG index, SII index, and SIRI index: positive association with CHD risk and coronary atherosclerosis severity in patients with NAFLD

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 8, 2024

Background Insulin resistance(IR) and inflammation have been regarded as common potential mechanisms in coronary heart disease (CHD) non-alcoholic fatty liver (NAFLD). Triglyceride-glucose (TyG) index is a novel biomarker of insulin resistance, System immune-inflammation index(SII) Systemic response index(SIRI) are biomarkers inflammation, these not studied CHD with NAFLD patients. This study investigated the correlation between TyG index, SII SIRI risk among Methods cross-sectional included 407 patients Department Cardiology, The Second Hospital Shanxi Medical University. Of these, 250 were enrolled NAFLD+CHD group 157 without control. To balance covariates groups, 144 selected from each 1:1 ratio based on propensity score matching (PSM). Potential influences screened using Lasso regression analysis. Univariate multivariate logistic analyses Least Absolute Shrinkage Selection Operator (LASSO) used to assess independent protective factors for CHD. Construction nomogram by machine learning. receiver operating characteristic(ROC) curve was ability predict disease. relationship Gensini reflected Sankey diagram. Results LASSO analysis Logistic suggest that (OR, 2.193; 95% CI, 1.242-3.873; P = 0.007), 1.002; 1.001-29 1.003; < 0.001), (OR,1.483;95%CI,1.058-2.079, =0.022) At same time, Neutrophils, TG, LDL-C also found be patients, HDL-C factor NAFLD. Further three learning algorithms good predictive value diagnosis, shows highest value. ROC demonstrated combining can improve diagnostic cirrhosis CHD.ROC showed combined improved CHD(AUC: 0.751; CI: 0.704-0.798; 0.001). Conclusion all strongly associated prediction severity

Language: Английский

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Association between systemic inflammation response index and chronic kidney disease: a population-based study

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 22, 2024

Introduction Our objective was to explore the potential link between systemic inflammation response index (SIRI) and chronic kidney disease (CKD). Methods The data used in this study came from National Health Nutrition Examination Survey (NHANES), which gathers 1999 2020. CKD diagnosed based on low estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73 m 2 or albuminuria (urinary albumin-to-creatinine ratio (ACR) more 30 mg/g). Using generalized additive models weighted multivariable logistic regression, independent relationships SIRI other inflammatory biomarkers (systemic immune-inflammation (SII), monocyte/high-density lipoprotein (MHR), neutrophil/high-density (NHR), platelet/high-density (PHR), lymphocyte/high-density (LHR)) with CKD, albuminuria, low-eGFR were examined. Results Among recruited 41,089 participants, males accounted for 49.77% total. Low-eGFR, prevalent 8.30%, 12.16%, 17.68% people, respectively. shown be positively correlated (OR = 1.24; 95% CI: 1.19, 1.30). Furthermore, a nonlinear correlation discovered CKD. are both two sides breakpoint (SIRI 2.04). Moreover, increased levels associated greater prevalences (albuminuria: OR 1.27; 1.21, 1.32; low-eGFR: 1.11; 1.05, 1.18). ROC analysis demonstrated that, compared indices (SII, NHR, LHR, MHR, PHR), exhibited superior discriminative ability accuracy predicting low-eGFR. Discussion When low-eGFR, may show up as biomarker when PHR). American adults elevated SIRI, SII, PHR should attentive risks their health.

Language: Английский

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Systemic Inflammatory Response Index (SIRI) is associated with all-cause mortality and cardiovascular mortality in population with chronic kidney disease: evidence from NHANES (2001–2018)

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: March 15, 2024

Objective To examine the correlation between SIRI and probability of cardiovascular mortality as well all-cause in individuals with chronic kidney disease. Methods A cohort 3,262 participants from US National Health Nutrition Examination Survey (NHANES) database were included study. We categorized into five groups based on stage weighted Cox regression model was applied to assess relationship mortality. Subgroup analyses, Kaplan–Meier survival curves, ROC curves conducted. Additionally, restricted cubic spline analysis employed elucidate detailed association hazard ratio (HR). Results This study a individuals, whom 1,535 male (weighted proportion: 42%), 2,216 aged 60 or above 59%). Following adjustments for covariates like age, sex, race, education, elevated remained significant independent risk factor (HR=2.50, 95%CI: 1.62-3.84, p<0.001) (HR=3.02, 2.03-4.51, CKD patients. The indicated nonlinear mortality, SIRI>1.2 identified an Conclusion Heightened independently poses both disease patients, potentially heightened significance early stages (Stage I Stage III)

Language: Английский

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Complete Blood Count (CBC)-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Adults with Severe Obesity

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(5), P. 1353 - 1353

Published: Feb. 27, 2024

Background: Metabolic syndrome (MetS) is a globally increasing pathological condition. Recent research highlighted the utility of complete blood count-derived (CBC) inflammation indexes to predict MetS in adults with obesity. Methods: This study examined CBC-derived (NHR, LHR, MHR, PHR, SIRI, AISI, and SII) 231 severe obesity (88 males, 143 females; age: 52.3 [36.4–63.3] years), divided based on presence (MetS+) or absence (MetS-) MetS. The relationships between cardiometabolic risk biomarkers HOMA-IR, TG/HDL-C, non-HDL-C were also evaluated. Results: Individuals metabolic had significantly higher values NHR, SIRI than those without (MHR NHR: p < 0.0001; LHR: = 0.001; PHR: 0.011; SIRI: 0.021). These positively correlated degree severity. Logistic regression 0.000; 0.002; 0.022; 0.040) ROC analysis (MHR: AUC 0.6604; 0.6343; 0.6741; 0.6054; 0.5955) confirmed predictive potential for individuals HOMA-IR (MHR, 0.000) TG/HDL-C NHR 0.006). Conclusions: In conclusion, this validates predicting these factors can enable clinicians better grade associated

Language: Английский

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Correlations Between Acute Coronary Syndrome and Novel Inflammatory Markers (Systemic Immune-Inflammation Index, Systemic Inflammation Response Index, and Aggregate Index of Systemic Inflammation) in Patients with and without Diabetes or Prediabetes

Journal of Inflammation Research, Journal Year: 2024, Volume and Issue: Volume 17, P. 2623 - 2632

Published: April 1, 2024

Purpose: Type 2 diabetes mellitus (DM) is a recognized independent risk factor for both chronic coronary syndrome (CCS) and its complication, acute (ACS). Patients with DM prediabetes (preDM) face an increased ACS risk. Inflammation plays significant role in the pathogenesis of CCS ACS. This study delves into novel inflammatory markers, such as systemic immune-inflammation index (SII), inflammation response (SIRI), aggregate (AISI, also known SIIRI or PIV), to explore their relationship patients that have been not diagnosed preDM. Methods: included data 493 chest pain undergoing angiography. They were categorized four groups: 1) without DM/preDM CCS; 2) 3) ACS, 4) Standard methods statistical analysis used reveal possible differences between groups find most influential factors DM/preDM. Results: The showed no SII, SIRI, AISI respective patient groups. A logistic regression generated model incorporating high-density lipoprotein, low-density lipoprotein levels demonstrated 71.0% accuracy, 37.0% sensitivity, 89.4% specificity. Conclusion: findings suggest aforementioned markers may potential distinguishing at higher low financial cost. However, further comprehensive well-designed research required validate clinical utility. Plain Language Summary: People type heart problems. These include key element these issues. We looked pain. divided them based on status (DM/preDM vs diabetes) conditions (ACS CCS). explored new related inflammation. (AISI) all can be calculated from simple blood tests. found To understand better, we analysis. DM/preDM: LDL, levels. It was accurate (71.0%), but sensitivity 37.0%, specificity 89.4%. could helpful identifying cost need more confirm use real-life medical settings. Keywords: artery disease, ischemic atherosclerosis, myocardial infarction, pan-immune-inflammation value, index,

Language: Английский

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Assessing the Relationship between Systemic Immune-Inflammation Index and Metabolic Syndrome in Children with Obesity

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(9), P. 8414 - 8414

Published: May 8, 2023

Childhood obesity represents a worldwide concern as many countries have reported an increase in its incidence, with possible cardiovascular long-term implications. The mechanism that links disease to is related low-grade inflammation. We designed this study investigate the diagnostic utility of inflammatory indices (NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte SII, systemic immune-inflammation index; SIRI, inflammation response index) obese children metabolic syndrome (MetS) and their relationship cardiometabolic risk biomarkers, such Homeostasis Model Assessment Insulin Resistance (HOMA-IR), triglyceride-to-high-density lipoprotein cholesterol (TG:HDL-C), non-high-density (non-HDL-C). A total 191 from one large Romanian reference center was included study. Patients were classified two groups according presence (MetS group) or absence (non-MetS syndrome. According our results, SII index proved value distinguishing MetS patients among (AUC = 0.843, sensitivity 0.83, specificity 0.63). Furthermore, positively associated biomarkers (HOMA-IR, p < 0.001; TG:HDL-C, 0.002; non-HDL-C, 0.021), highlighting role additional measure instability children.

Language: Английский

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System inflammation response index: a novel inflammatory indicator to predict all-cause and cardiovascular disease mortality in the obese population

Diabetology & Metabolic Syndrome, Journal Year: 2023, Volume and Issue: 15(1)

Published: Oct. 11, 2023

This study aims to investigate the relationship between two novel inflammatory markers, namely, Systemic Inflammatory Response Index (SIRI) and Immune (SII), as well all-cause cardiovascular disease (CVD) mortality in obese population.

Language: Английский

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