General Hospital Psychiatry, Год журнала: 2024, Номер 91, С. 160 - 166
Опубликована: Ноя. 1, 2024
Язык: Английский
Frontiers in Immunology, Год журнала: 2024, Номер 15
Опубликована: Апрель 4, 2024
Background Sarcopenia, common in the elderly, often linked to chronic diseases, correlates with inflammation.The association between SII and mortality sarcopenia patients is underexplored, this study investigates relationship a U.S. adult cohort. Methods We analyzed 1999–2018 NHANES data, focusing on 2,974 adults sarcopenia. Mortality outcomes were determined by linking National Death Index (NDI) records up December 31, 2019. Using weighted sampling design, participants grouped into three groups Systemic Immune-Inflammation (SII). used Cox regression models, adjusting for demographic clinical variables, explore SII’s all-cause cause-specific sarcopenia, performing sensitivity analyses robustness. Results Over median follow-up of 9.2 years, 829 deaths occurred. Kaplan-Meier analysis showed significant survival differences across groups. The highest group higher hazard ratios (HRs) both crude adjusted models. had HR all-cause(1.57, 1.25–1.98), cardiovascular(1.61, 1.00–2.58), cancer(2.13, 1.32–3.44), respiratory disease mortality(3.21, 1.66–6.19) fully Subgroup revealed various demographics, including age, gender, presence diabetes or cardiovascular disease. Sensitivity analyses, excluding those who died within two years follow-up, under 45 largely reflected these results, consistently demonstrating HRs all types unadjusted Conclusion Our first demonstrate increased risks population.
Язык: Английский
Процитировано
11
Journal of Orthopaedic Surgery and Research, Год журнала: 2024, Номер 19(1)
Опубликована: Май 28, 2024
Sarcopenia is associated with increased morbidity and mortality. The systemic immune-inflammation index (SII) has been correlated to a variety of disorders. present study conducted systematic review meta-analysis investigate the relationship between SII sarcopenia.
Язык: Английский
Процитировано
9
BMC Geriatrics, Год журнала: 2025, Номер 25(1)
Опубликована: Янв. 13, 2025
Chronic inflammation is increasingly recognized as a crucial contributor to sarcopenia pathogenesis, but accurate diagnosis remains challenge. Our study aims investigate the relationship between and Systemic Immune-Inflammation Index (SII), comprehensive indicator of inflammation. This cross-sectional enrolled 632 patients. All participants underwent geriatric assessment. Sarcopenia was assessed through evaluation handgrip strength calf circumference. To determine SII, we used formula: Platelet count (109/mm3)×Neutrophil (109/mm3) / Lymphocyte (109/mm3). The average age 74.8 ± 6.4, 62.3% (n = 394) were female. Patients grouped non-sarcopenic sarcopenic. group had 536 patients (84.8%), while sarcopenic comprised 96 (15.2%). Sarcopenic showed higher median SII score than (p < 0.001). Multivariate logistic regression analysis revealed that significantly independently associated with even after adjusting for potential confounding factors (β 1.002, 95% CI 1.001–1.003, p ROC identified optimal cut-off in predicting > 765. At this threshold, negative predictive values determined be 88.1%, specificity 88%. outpatient population, population-specific may serve novel, simple, practical biomarker diagnosing sarcopenia.
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2023, Номер 13(1)
Опубликована: Дек. 13, 2023
Abstract The association between the systemic immune-inflammation index (SII) and risk of sarcopenia has not yet been revealed. purpose this study was to investigate relationship SII in individuals aged 18–59 years. All data for are from National Health Nutrition Examination Survey (NHANES) database, including 7258 participants (age range: years). We divided values by quartiles (quartiles 1–4: 0.3–3.1, 3.2–4.4, 4.4–6.2, 6.2–58.5). constructed a multivariate logistic regression model assess sarcopenia, an interaction test run stability identify high-risk with sarcopenia. Compared nonsarcopenia participants, patients had significantly higher value (weighted average: 6.65 vs. 5.16) ( P = 0.002). Multivariate results showed positive linear (OR [odds ratio] 1.12, 95% CI [confidence interval] 1.03–1.21). quartile 1 group, 4 group associated 3.94, 1.42–10.94). OR 2 groups upwards trend < 0.001) as level increased. Subgroup analysis also indicate that correlation stable. There significant indicating can increase United States. findings will be beneficial promoting use alone or combination other tools screening communities large populations.
Язык: Английский
Процитировано
16
The Journal of Clinical Endocrinology & Metabolism, Год журнала: 2024, Номер unknown
Опубликована: Сен. 25, 2024
Abstract Background This research aims to investigate the connection between systemic inflammatory response and metabolic syndrome (MetS) across different age groups, with aim of proposing more targeted recommendations. Methods study enrolled 15 959 adults from 2001-2018 National Health Nutrition Examination Survey whom 6739 were diagnosed MetS. After dividing immune-inflammation index (SII) into 4 quartiles, Kruskal–Wallis test weighted chi-square employed assess statistical differences. Weighted multivariable logistic regression analysis, subgroup sensitivity restricted cubic spline examine relationship SII Results Our revealed that exhibits a quantitative association MetS [odds ratio (OR) = 1.56; 95% confidence interval (CI): 1.37-1.79; P < .001]. Elevated is an independent risk factor for 5 components Different groups alcohol consumption status could modify was statistically significant in 18 65 group but not elderly (OR 1.08; CI, .95-1.23; .248). Multiple imputation confirmed robustness our results. Moreover, inverted U-shaped curve. Conclusion highlights predictive significance forecasting incidence young middle-aged populations. The differences mechanisms various necessitate further exploration.
Язык: Английский
Процитировано
5
BMC Public Health, Год журнала: 2025, Номер 25(1)
Опубликована: Янв. 16, 2025
Chronic respiratory diseases (CRD) represents a series of lung disorders and is posing global health burden. Systemic inflammation phenotypic ageing have been respectively reported to associate with certain CRD. However, little known about the co-exposures mutual associations Here, we aim systematically elucidate joint mediating systemic immune-inflammation index (SII) age acceleration (PhenoAgeAccel) CRD based on data from National Health Nutrition Examination Survey (NHANES). Data for this study was obtained NHANES 2007-2010 2015-2018. The single combined SII PhenoAgeAccel were analyzed using multivariable logistic regression models. dose-response relationship between exposures outcomes determined by restricted cubic splines (RCS) regression. Subgroup mediation analyses further conducted. Totally, 15,075 participants enrolled in including 3,587 patients. Compare controls, patients tended be older, females present higher values. Single-index analysis indicated that either or demonstrated significantly positive association via regressions RCS curves. Furthermore, joint-indexes revealed compared individuals lower PhenoAgeAccel, those exhibited remarkably stronger (adjusted OR [aOR], 1.56; 95% CI, 1.31-1.85; P < 0.001), chronic obstructive pulmonary disease (aOR, 1.22-2.00; = 0.001) asthma 1.40; 1.16-1.70; which predominant among aged above 40 years, smokers. Eventually, suggested effects mediated resulting more significantly. This confirmed coexposure effect We recommend assessment may conduce accurate identification populations susceptible early prevention diseases.
Язык: Английский
Процитировано
0
Frontiers in Nutrition, Год журнала: 2025, Номер 12
Опубликована: Фев. 3, 2025
Background Most studies have evaluated sarcopenia and muscle health solely based on mass. This study comprehensively examined the associations between eight inflammatory indicators mass strength, with aim of identifying an indicator capable evaluating across multiple dimensions. Methods included 10,440 participants from National Health Nutrition Examination Survey (NHANES, 2011–2018) 5,384 NHANES (2011–2014). Multivariate logistic regression, smooth curve fitting, restricted cubic spline (RCS) analysis, subgroup Spearman's correlation were used to assess strength. Receiver operating characteristic (ROC) curves compare predictive abilities different indices for low Additionally, data cross-validated 554 patients at our hospital evaluate ability systemic immune index (SII) distinguish Results After controlling all potential confounding factors, regression analysis revealed that apart platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte (MLR), derived NLR (dNLR), neutrophil-to-monocyte-plus-lymphocyte (NMLR), neutrophil-to-lymphocyte (NLR), SII, inflammation response (SIRI), pan-immune-inflammation value (PIV) significantly negatively correlated However, NMLR associated changes in only Q4 ( P < 0.05). In stratified by body (BMI), NLR, unaffected BMI. cross-validation, performance SII [area under (AUC) = 0.699, 0.677, 0.685] strength (AUC 0.857, 0.849, 0.840) demonstrated a good reference value. RCS fitting analyses indicated most markers linearly Conclusion Compared other (e.g., PIV dNLR), more robust ability, was less influence covariates, exhibited high generalization internal external validation. may be crucial “hidden sarcopenia” early stages functional decline.
Язык: Английский
Процитировано
0
Lipids in Health and Disease, Год журнала: 2025, Номер 24(1)
Опубликована: Фев. 8, 2025
In previous studies, several inflammatory biomarkers derived from complete blood cell counts (CBC), such as systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and non‑high‑density lipoprotein cholesterol to high‑density (NHHR) have been identified predictors of sarcopenia. However, whether Monocyte High-Density Lipoprotein Cholesterol Ratio (MHR) can predict the development sarcopenia has not yet established. The research first attempts investigate association between MHR low muscle mass compare predictive abilities MHR, SII, NLR, NHHR for risk. study comprised 10,321 participants aged 20 years above United States. Multiple logistic regression was performed explore ln-transformed mass. Additionally, AUC values ROC curves were used assess effectiveness ln other markers (ln NHHR, + NLR). bootstrap estimated 95% Cl shown with AUC. fully adjusted model, NLR positively associated SII: OR = 1.59 [1.37-1.84]; NLR: 1.35 [1.13-1.60]; NHHR: 1.49[1.27-1.75]; MHR: 1.98 [1.68-2.33]; 1.61 [1.46-1.79]; 1.42 [1.29-1.56]; 1.58 [1.41-1.78]). Compared lowest quartile higher quartiles significantly increased odds (P trend < 0.0001). analysis, SII had a value than indicators (AUC 0.608). Ln-transformed outperforms in predicting
Язык: Английский
Процитировано
0
Clinics and Research in Hepatology and Gastroenterology, Год журнала: 2024, Номер 48(2), С. 102284 - 102284
Опубликована: Янв. 15, 2024
Язык: Английский
Процитировано
4
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Июнь 10, 2024
Язык: Английский
Процитировано
4