Association between complete blood cell count-derived inflammatory biomarkers and gallstones prevalence in American adults under 60 years of age

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 10, 2025

The trend of gallstones occurring in younger populations has become a noteworthy public health issue. This study aims to investigate the association between complete blood cell count (CBC)-derived inflammatory indicators and adults under 60 years age United States. cross-sectional used data from National Health Nutrition Examination Survey (NHANES) 2017 2020. Associations CBC-derived biomarkers were assessed using multivariable logistic regression models, with results presented as odds ratio (OR) 95% confidence interval (CI). Restricted cubic splines (RCS) employed examine potential non-linear relationships. Subgroup analyses also conducted explore differences across population subgroups. comprised 4,977 participants, among whom 398 diagnosed gallstones. After adjusting for confounding variables, highest quartile systemic inflammation response index (SIRI) [OR (95%CI): 1.65(1.12,2.43)], immune-inflammation (SII) 1.53(1.05,2.25)], monocyte-to-lymphocyte (MLR) 1.66(1.16,2.37)], pan immune value (PIV) 1.82(1.23,2.71)] associated significantly increased risk compared lowest quartiles. RCS plots indicated nonlinear relationship several Our found that SIRI, SII, MLR, PIV can serve clinical predicting

Language: Английский

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The association between eight complete blood count-derived inflammatory markers and muscle health

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 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.

Language: Английский

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Relationship of monocyte to high-density lipoprotein ratio (MHR) and other inflammatory biomarkers with sarcopenia: a population-based study

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 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

Language: Английский

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Association between lipid ratios and sarcopenia and the mediating roles of inflammatory biomarkers in a cross-sectional study from NHANES 2011–2018

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 24, 2025

Sarcopenia, which leads to reduced quality of life and increased medical burden, is challenging diagnose in a timely manner. Lipid metabolism plays role sarcopenia, this study explored the associations between blood lipid profile parameters sarcopenia. Using data from National Health Nutrition Examination Survey 2011–2018, we conducted weighted multivariate logistic regression investigate ratios including non-high-density lipoprotein cholesterol (non-HDL-C) HDL-C, triglyceride (TG) low-density (LDL-C) remnant (RC) HDL-C ratios. We performed subgroup analyses assess interactions with other covariates used mediation models evaluate mediating roles inflammatory biomarkers. included total 9500 non-sarcopenic 849 sarcopenic participants aged 18–59 years. While observed modest correlations individual components obtained significant positive for Specifically, non-HDL/HDL-C (OR = 1.09; 95% CI 1.03–1.15; P 0.003), TG/HDL-C 1.02; 1.02–1.04; 0.014), LDL/HDL-C 1.27; 1.11–1.45; < 0.001), RC/HDL-C 1.55; 1.16–2.07; 0.004) showed strong These were more pronounced younger participants, those lower family economic status, without self-reported diabetes. Furthermore, there effects biomarkers on association non-HDL/HDL-C, LDL/HDL-C, sarcopenia risk, proportions ranging 2.90 6.36%. In conclusion, our demonstrated middle-aged adults, suggesting potential these improving case identification. Further research required explore underlying mechanisms.

Language: Английский

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The systemic inflammation response index as risks factor for all-cause and cardiovascular mortality among individuals with respiratory sarcopenia

BMC Pulmonary Medicine, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 26, 2025

Respiratory sarcopenia is associated with poor outcomes, yet effective biomarkers for risk stratification remain limited. This study investigates the associations between complete blood count (CBC)-derived inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), neutrophil-monocyte-to-lymphocyte (NMLR), and systemic inflammation response index (SIRI) both all-cause cardiovascular mortality in patients respiratory sarcopenia. We conducted a cohort analysis of 1,673 adults possible using data from National Health Nutrition Examination Survey (NHANES) 2007 to 2012, follow-up through December 31, 2019. Possible was assessed via peak expiratory flow rate (PEFR). Multivariable Cox regression models evaluated NLR, NMLR, SIRI, adjusted demographic, socioeconomic, health-related covariates. Additional CBC-derived (PLR, dNLR, MLR, SII) were analysed, mediation albumin's role as partial mediator mortality. Over median 116 months, 263 deaths occurred, 68 causes. Elevated SIRI significantly increased risks emerged strongest predictor, hazard ratios (HRs) 1.65 (95% CI, 1.23–2.22) 3.18 1.83–5.53) Albumin partially mediated relationship (12.1%). are sarcopenia, demonstrating highest predictive power. Integrating into clinical assessments may aid identifying high-risk patients, allowing targeted interventions.

Language: Английский

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Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and metabolic dysfunction-associated steatotic liver disease

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: March 3, 2025

Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most widespread chronic diseases and a serious global public health problem. Further research to identify novel risk factors associated with MASLD urgently needed. The non-high-density lipoprotein cholesterol high-density ratio (NHHR) was identified as lipid marker. objective this assess association between NHHR in adults. Methods This cross-sectional study utilized data from 2017–2020 National Health Nutrition Examination Survey (NHANES). diagnosed accordance controlled attenuation parameter scores combination cardiometabolic factors. Multivariate logistic regression analyses, conjunction restricted cubic spline method, were employed investigate risk. Furthermore, subgroup interaction analyses conducted. Results included 5,269 individuals, 2,031 individuals 3,238 without MASLD. Logistic revealed significant positive correlation After confounding adjusted, each unit rise correlated 39% higher probability (OR = 1.39, 95% CI: 1.13–1.69). Subgroup that held steady regardless age, gender, race, poverty-to-income ratio, education level, physical activity, body mass index, diabetes, hypertension, dyslipidemia smoking status ( P for &gt;0.05). In addition, non-linear relationship an S-shaped manner found, inflection point at 1.59. Conclusion Our findings imply increasing trend greater development. has potential function indicator estimating likelihood developing

Language: Английский

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Association of nutritional and inflammatory status with all-cause and cardiovascular mortality in adults with sarcopenia: Insights from NHANES

Maturitas, Journal Year: 2025, Volume and Issue: 196, P. 108233 - 108233

Published: March 4, 2025

Language: Английский

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The role of the advanced lung cancer inflammation index (ALI) in the risk of liver fibrosis and mortality among US adult MAFLD patients: a cross-sectional study of NHANES 1999–2018

BMC Gastroenterology, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 20, 2025

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a prevalent chronic globally, with inflammation and nutrition playing key roles in its progression. The Advanced Lung Cancer Inflammation Index (ALI) novel biomarker reflecting nutritional inflammatory status. This study aims to explore the association between ALI risk of fibrosis prognosis MAFLD patients. cross-sectional analyzed NHANES data from 1999–2018 on adult participants US. Weighted logistic regression assessed risk. Mortality outcomes, including all-cause, cardiovascular (CVD), cancer mortality, using weighted Kaplan-Meier Cox proportional hazards models. Restricted cubic splines (RCS) threshold effect analyses were uesd non-linear relationships. Receiver operating characteristic (ROC) curve evaluated prognostic value ALI, stratified examined subgroup differences. A total 6,858 patients (mean age 51.38 ± 17.22 years, 54% male) included. relationship was found risk, at 5.68, beyond which increased significantly (OR = 2.35, 95% CI: 1.89–2.95). Stronger associations observed subgroups central obesity prediabetes (P for interaction < 0.05). inversely associated all-cause mortality (HR 0.64, 0.56–0.72) CVD 0.57, 0.46–0.65), but not mortality. RCS analysis showed an L-shaped (threshold 5.36) linear Low HDL cholesterol excessive alcohol consumption influenced demonstrated highest predictive accuracy reduced highlighting potential assessing prognosis, particularly CVD-related

Language: Английский

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Prognostic value of sarcopenia in patients with unresectable colorectal liver metastases after drug-eluting beads transcatheter arterial chemoembolization: a single center retrospective study

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 1, 2025

Sarcopenia is a prevalent condition in tumor patients and can potentially impact the prognosis of treatment. This retrospective study aimed to evaluate correlations between sarcopenia with unresectable colorectal liver metastases (CRLM) received drug-eluting beads transcatheter arterial chemoembolization (DEB-TACE) therapy. From December 2018 2023, CRLM who had already second-line therapy from Wuhan Union Hospital were involved our study. Skeletal muscle mass was evaluated on CT at L3 vertebra, optimal cut-off point for skeletal index classification determined using x-tile software. Overall survival (OS) progression-free (PFS) estimated Kaplan–Meier analysis Cox regression analysis. Seventy-one included study, 34 (sarcopenia group) 37 without (non-sarcopenia group), respectively. The median PFS OS elevated non-sarcopenia group compared (6.1 months versus 4.3 months, p = 0.012; 14.8 10.2 < 0.001). multivariate revealed that sarcopenia, extrahepatic metastases, neutrophil-to-lymphocyte ratio (NLR) ≥ 5 identified as independent risk factors both OS. advantages terms consistent across all subgroups examined. Additionally, exhibited higher incidence vomiting/nausea, fatigue, abdominal pain following DEB-TACE operation group. demonstrated substantial predictive value underwent treatments. Besides, NLR > linked poorer prognosis. Furthermore, may face an increased likelihood experiencing adverse events

Language: Английский

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Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999–2018

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 4, 2025

Background This study aimed to evaluate the relationship between CBC-derived inflammatory markers (NLR, PLR, NPAR, SII, SIRI, and AISI) all-cause mortality (ACM) risk in arthritis (AR) patients with hypertensive (HTN) using data from NHANES. Methods We employed weighted multivariable logistic regression WQS explore ACM AR patients, as well determine weights of different markers. Kaplan–Meier curves, restricted cubic splines (RCS) ROC curves were utilized monitor cumulative survival differences, non-linear relationships diagnostic utility for risk, respectively. Key selected XGBoost LASSO machine learning methods, a nomogram prognostic model was constructed evaluated through calibration decision curve analysis (DCA). Results The included 4,058 HTN, 1,064 deaths over median 89-month follow-up. All six significantly higher deceased group ( p &lt; 0.001). Weighted showed these markers’ elevated levels correlated increased across all models linked marker scores lower rates HTN found positive correlation 0.001), NPAR having greatest impact (70.02%) SIRI next (29.01%). had highest AUC (0.624) prediction, closely followed by (AUC = 0.618). identified most influential markers, LASSO-based correlating (HR, 2.07; 95% CI, 1.83–2.35; 0.01). RCS revealed correlations (Pnon-linear&lt;0.01) showing sharp increase when &gt;148.56 &gt;1.51. A optimally predicted overall survival. Conclusion These results underscore necessity monitoring managing indicators clinical settings potentially improving patient outcomes.

Language: Английский

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