Association of systemic inflammatory response index with bone mineral density, osteoporosis, and future fracture risk in elderly hypertensive patients

Postgraduate Medicine, Journal Year: 2024, Volume and Issue: 136(4), P. 406 - 416

Published: May 16, 2024

This study sought to investigate the relationship between systemic inflammatory response index (SIRI) and bone mineral density (BMD), osteoporosis, future fracture risk in elderly hypertensive patients.

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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Association between the C-reactive protein–albumin–lymphocyte index and metabolic syndrome: evidence from the 2003–2010 national health and nutrition examination survey

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 31, 2025

Metabolic syndrome (MetS) is a global public health problem that significantly impacts human and quality of life. The relationship between MetS the C-reactive protein-albumin-lymphocyte (CALLY) index uncertain. This study analyzed data 7,534 individuals from National Health Nutrition Examination Survey cycles (2003-2010 cycles). Weighted logistic regression weighted restricted cubic spline (RCS) curve analyses were used to identify relationships CALLY MetS, as well its components. Of participants, 2,086 diagnosed with MetS. estimated prevalence decreased an increase in (P < 0.001). Multivariable analysis showed odds ratio was 0.25 (95% confidence interval 0.20-0.32, P 0.001) highest quartile compared lowest after adjusting for confounding variables. RCS revealed non-linear or inverse risk. might be valuable identifying who are at high risk Not applicable.

Language: Английский

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Association between obesity and systemic immune inflammation index, systemic inflammation response index among US adults: a population-based analysis

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Aug. 10, 2024

Obesity is characterized by a chronic low-grade inflammatory condition. Two emerging biomarkers, the systemic immune-inflammation index (SII) and inflammation response (SIRI), have gained attention. However, relationships between obesity SII/SRI remain unclear.

Language: Английский

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Association of systemic immunity-inflammation index with metabolic syndrome in U.S. adult: a cross-sectional study

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

Published: Jan. 15, 2024

Abstract Background Metabolic syndrome (MetS) is a pathological condition characterized by the abnormal clustering of several metabolic components and has become major public health concern. We aim to investigate potential link Systemic immunity-inflammation index (SII) on MetS its components. Methods result Weighted multivariable logistic regression was conducted assess relationship between SII Restricted cubic spline (RCS) model threshold effect analysis were also performed. A total 6,999 U.S. adults enrolled. Multivariate found that positively associated with (OR = 1.18;95CI%:1.07–1.30) hypertension 1.22; 95CI%:1.12–1.34) in dose-dependent manner. When converted into categorical variable, risk increased 36% 53% highest quantile SIIs. The RCS confirmed linear associations MetS, as well non-linear association certain including hypertension, hyperglycemia, low HDL, hyperlipidemia. Meanwhile, presents J-shaped curve 8.27, above which increases. Furthermore, age, sex, body mass (BMI), race not significantly this positive based subgroup analyses interaction tests( p for > 0.05). Conclusions present study indicated there higher an adults. However, further prospective cohort studies are required establish causal

Language: Английский

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Association of systemic immune-inflammation index with insulin resistance and prediabetes: a cross-sectional study

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

Published: June 5, 2024

Background and Objective Previous research suggested a relationship between the Systemic Immune-Inflammation Index (SII) multiple adverse health conditions. However, role of SII in prediabetes insulin resistance (IR) remains poorly understood. Therefore, this study aims to explore potential IR, providing data support for effective diabetes prevention by reducing systemic inflammation. Methods Linear regression models were used assess correlation continuous risk markers type 2 (T2D). Subsequently, multivariate logistic subgroup analyses employed evaluate association tertiles controlling various confounding factors. Finally, restricted cubic spline graphs analyze nonlinear IR prediabetes. Results After confounders, was positively correlated with fasting blood glucose (FBG) (β: 0.100; 95% CI: 0.040 0.160), serum (FSI) 1.042; 0.200 1.885), homeostasis model assessment (HOMA-IR) 0.273; 0.022 0.523). Compared participants lower SII, those highest tertile had increased odds (OR: 1.17; 1.02-1.34; p trend &lt; 0.05) 1.35; 1.18 1.51; trend&lt;0.001). Conclusions Our results demonstrate an elevated levels both prediabetes, indicating as straightforward cost-effective method identifying individuals

Language: Английский

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C-Reactive Protein as a Marker of Inflammation in Children and Adolescents with Metabolic Syndrome: A Systematic Review and Meta-Analysis

Biomedicines, Journal Year: 2023, Volume and Issue: 11(11), P. 2961 - 2961

Published: Nov. 2, 2023

Metabolic syndrome (MetS) in the pediatric population has been reported many studies to be associated with an inflammatory response. However, our knowledge, there is no definitive conclusion form of a meta-analysis. The issue we aimed address whether C-reactive protein (CRP) trustworthy marker detecting inflammation children and adolescents MetS. We systematically searched PubMed, MEDLINE, Cochrane Central Register Controlled Trials, ISI Web Science, SCOPUS until 31 June 2023 for involving MetS where hsCRP or CRP were measured. After screening process, identified 24 full-text articles that compared 930 patients either healthy (n = 3782) obese 1658) controls. risk bias included was assessed using Begg’s rank correlation test Egger’s regression test. Statistical analysis carried out based on pooled mean differences (MDs) 95% CI. Data showed higher levels than those controls (MD 1.28, CI: (0.49–2.08), p 0.002) 0.88, (0.38–1.39), 0.0006). conventional methods found more accurate differentiating between obesity MetS, 0.60, (−0.08–1.28), 0.08). No assessed. In conclusion, reliable from ones. On other hand, it did not prove very distinguishing who had obese. There should research performed this field.

Language: Английский

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Biomarkers of systemic inflammation are associated with disease severity and metabolic syndrome in patients with hidradenitis suppurativa

JAAD International, Journal Year: 2024, Volume and Issue: 15, P. 170 - 178

Published: March 15, 2024

BackgroundBiomarkers associated with disease severity and comorbid metabolic syndrome (MetS) in patients hidradenitis suppurativa (HS) are lacking.ObjectiveTo identify biomarkers MetS HS.MethodsData on hospital outpatients HS were obtained through clinical examination interviews. Indicators of systemic inflammation; C-reactive protein (CRP), erythrocyte sedimentation-rate (ESR), neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR), monocyte/lymphocyte-ratio (MLR), platelet/neutrophil-ratio (PNR), pan-immune-inflammation-value (PIV), systemic-immune-inflammatory-index (SII), calculated from blood samples.ResultsSeven hundred included; those 444 (63.4%) 256 (36.6%) female male, respectively, a median age 38.3 years (IQR = 27.9-51.0). Increasing CRP, ESR, NLR, PIV, SII (P < .001) significantly increasing Hurley-stage international score system 4 (IHS4)-score adjusted analysis. A doubling CRP (OR 1.59 (1.36-1.85), P .001), ESR 1.39 (1.17-1.66), PIV 1.41 (1.12-1.77) .002) was the best estimator for severe IHS4-score (AUC 0.72 (0.66-0.77), Hurley III 0.79 (0.73-0.85), whereas 0.67 (0.62-0.72), .001).LimitationsPatients setting tend to have more disease.ConclusionBiomarkers like measuring inflammation HS.

Language: Английский

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Complete Blood Count-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Children and Adolescents with Severe Obesity

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(7), P. 2120 - 2120

Published: April 5, 2024

Background: Childhood obesity is a globally increasing pathological condition leading to long-term health issues such as cardiovascular diseases and metabolic syndrome (MetS). This study aimed determine the clinical value of Complete Blood Count-derived inflammation indexes Monocyte/HDL-C ratio (MHR), Lymphocyte/HDL-C (LHR), Neutrophil/HDL-C (NHR), System Inflammation Response Index (SIRI) predict presence its association with risk markers (HOMA-IR, TG/HDL-C, non-HDL-C) in children adolescents obesity. Methods: The included total 552 children/adolescents severe (BMI: 36.4 [32.7–40.7] kg/m2; 219 males, 333 females; age: 14.8 [12.9−16.3] years), who were further subdivided based on or absence (MetS+ MetS respectively). Results: MHR, LHR, NHR (p < 0.0001), but not SIRI = 0.524), significantly higher MetS+ compared MetS− subgroup, showing positive correlation degree severity 0.0001). Furthermore, positively associated cardiometabolic biomarkers (HOMA-IR: MHR p 0.000, LHR 0.001, 0.0001; TG/HDL-C: 0.000; non-HDL-C: 0.0001, 0.000). Finally, ROC curve analysis demonstrated that among analyzed indexes, only had diagnostic distinguishing patients (MHR: AUC 0.7045; LHR: 0.7205; NHR: 0.6934; Conclusions: In conclusion, index, can be considered useful tools for pediatricians assess develop multidisciplinary intervention strategies counteract widespread disease.

Language: Английский

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Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population

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

Published: Jan. 4, 2024

Systemic immune-inflammation index (SII), a novel inflammatory marker, has been reported to be associated with diabetic kidney disease (DKD) in the U.S., however, such close relationship DKD other countries, including China, not never determined. We aimed explore association between SII and Chinese population. A total of 1922 hospitalized patients type 2 diabetes mellitus (T2DM) included this cross-sectional study were divided into three groups based on estimated glomerular filtration rate (eGFR) urinary albumin-to-creatinine ratio (ACR): non-DKD group, stages 1-2 Alb DKD-non-Alb+DKD stage 3 group. The possible was investigated by correlation multivariate logistic regression analysis, receiver-operating characteristic (ROC) curves analysis. Moving from group level gradually increased (P for trend <0.01). Partial analysis revealed that positively ACR prevalence DKD, negatively eGFR (all P<0.01). Multivariate showed remained independently significantly presence after adjustment all confounding factors [(odds (OR), 2.735; 95% confidence interval (CI), 1.840-4.063; P < 0.01)]. Moreover, compared subjects lowest quartile (Q1), fully adjusted OR 1.060 (95% CI 0.773-1.455) Q2, 1.167 0.995-1.368) Q3, 1.266 1.129-1.420) highest (Q4) Similar results observed or DKD-non- Alb+DKD among quartiles. Last, ROC best cutoff values predict 1- 2, DKD-non-Alb+ 609.85 (sensitivity: 48.3%; specificity: 72.8%), 601.71 43.9%; 72.3%), 589.27 61.1%; 71.1%), respectively. Higher is an risk severity might promising biomarker its distinct phenotypes

Language: Английский

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