Association of systemic immune-inflammatory index with cancer prevalence and mortality: Results from NHANES 1999-2010 DOI Creative Commons
Yuzhuo Zhang,

Wenyu Jia,

Tian Lan

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 8, 2023

Abstract Objective: To study the predictive effect of systemic immune-inflammatory index (SII) on cancer prevalence and mortality. Methods: Participants with SII status were screened from National Health Nutrition Examination Survey database 1999 to 2010, their baseline characteristics analyzed according tertile. Multivariable logistical or Cox proportional hazards models used analyze associations between The mortality was followed through December 31 2018. For further evaluation specified outcomes, restricted cubic spline two piecewise regression adopted. Results: This eventually included 26,049 individuals, whom 2,432 patients. According tertile group, increased significantly rise SII. In highest SII, related (OR=1.45, 95%CI= 1.31 - 1.61, p<0.05). Moreover, during a median follow-up 12.75 year, 329, 351, 1,202 cardiovascular, all-cause deaths occurred among patients, respectively. results indicated that level associated cardiovascular (HR=1.80, 1.28 2.52), (HR=1.64, 2.09) (HR=1.56, 1.31- 1.85). model adjusted for multiple covariates still showed same trend. U-shaped dose-response log-transformed (ln-SII) detected. threshold values ln-SII lowest risk prevalence, 5.44, 6.21, 6.27 Above thresholds, positively above outcomes. Conclusion: may be potential earlier warning marker total cancers.

Language: Английский

Serum inflammatory markers as prognostic marker for nasopharyngeal carcinoma with liver metastasis: a multi-center retrospective study DOI

Hossein Saboorifar,

Yasamin Zafarani,

Golsa Gholampour

et al.

European Archives of Oto-Rhino-Laryngology, Journal Year: 2024, Volume and Issue: 281(8), P. 4315 - 4324

Published: April 20, 2024

Language: Английский

Citations

1
High Expression of NLR and SII in patients With Nasopharyngeal Carcinoma as Potential Prognostic Observations DOI Creative Commons
He Lv, Xing Chen,

Xudong Chen

et al.

Cancer Control, Journal Year: 2024, Volume and Issue: 31

Published: Jan. 1, 2024

Purpose To assess the value of pretreatment neutrophil-to-lymphocyte ratio (NLR) and systemic immunoinflammatory index (SII) in prognosis nasopharyngeal carcinoma (NPC) patients. Methods This retrospective study analyzed a total 185 NPC patients who visited clinic from June 2015 to December 2018 were selected as subjects. The NLR SII calculated based on collection demographic information, clinical characteristics, pre-treatment lymphocyte counts, neutrophil platelet counts. Predictive efficacy was evaluated using receiver operating characteristic (ROC) curve, survival analysis performed through life table methods Cox risk-proportional regression. Results Using X-tile software, significant differences found factors among (>2.91) (>535.47). Age, TNM staging, SII, identified independent prognostic regression analysis. had highest area under curve (AUC) for predicting 1-year survival, staging AUC 3-year 5-year survival. combined model showed superior predictive accuracy across all time points. Conclusion biomarkers inflammation immune status, have applications assessment NPC. integrated prediction combining age, significantly improved provided reliable basis individualised treatment

Language: Английский

Citations

1
Prognostic value of systemic immune-inflammation index and systemic inflammation response index for oral cancers: A systematic review and meta-analysis DOI Open Access
Samuel Yang, Fei Cao

Medicina oral, patología oral y cirugía bucal, Journal Year: 2024, Volume and Issue: unknown, P. e822 - e831

Published: Jan. 1, 2024

The systemic immune-inflammation index (SII) and inflammation response (SIRI) are commonly used prognostic indicators for a variety of cancers. However, their utility in oral cancers is unknown. We systematically examined evidence on the ability SII SIRI to predict overall survival (OS) disease-free (DFS) after

Language: Английский

Citations

1
Association between the systemic inflammation response index and kidney stones in US adults: a cross-sectional study based on NHANES 2007–2018 DOI
Zhenglin Zhang,

Ganlin Wang,

xin dai

et al.

Urolithiasis, Journal Year: 2024, Volume and Issue: 52(1)

Published: Nov. 21, 2024

Language: Английский

Citations

1
High systemic immune-inflammation index predicts poor prognosis and response to intravesical BCG treatment in patients with urothelial carcinoma: a systematic review and meta-analysis DOI Creative Commons
Wen Liu, Yixuan Zhang, Miaomiao Wang

et al.

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: Nov. 1, 2023

Background The systemic immune-inflammation index (SII) has emerged as a promising marker predicting the prognosis of some cancers, while its role in urothelial carcinoma (UC) remains uncertain, especially upper urinary tract (UTUC). This meta-analysis aimed to investigate association SII with UC and response intravesical Bacillus Calmette-Guerin (BCG) therapy non-muscle invasive bladder cancer (NMIBC). Methods A systematic search PubMed, Embase, Web Science, Cochrane Library was performed identify relevant studies. extracted hazard ratios (HRs) 95% confidence intervals (CIs) were used evaluate between overall survival (OS), cancer-specific (CSS), recurrence-free (RFS) patients UC. Additionally, we pooled odds (ORs) CIs assess relationship BCG NMIBC. Subgroup sensitivity analyses explore potential sources heterogeneity. Results Twenty studies comprising total 12,645 eligible. revealed that high levels independently increased risk OS (HR 1.55, 95%CI 1.25–1.92), CSS 1.82, 1.36–2.45), RFS 1.26, CI 1.18–1.35) UC, including those carcinoma. elevated could predict lower treatment (OR 0.18, 0.07–0.45) higher disease recurrence 1.61, 1.31–1.98) Furthermore, positively associated advanced age, lymphovascular invasion, hydronephrosis, tumor grade stage (pT ≥ 3). Conclusions Elevated preoperative are poor outcomes well worse Therefore, can serve not only an independent prognostic predictor but also guide for Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023409077 , identifier CRD42023409077.

Language: Английский

Citations

3
Machine learning‐derived prognostic signature for progression‐free survival in non‐metastatic nasopharyngeal carcinoma DOI Open Access
Zhichao Zuo, Jie Ma, Mi Yan

et al.

Head & Neck, Journal Year: 2024, Volume and Issue: unknown

Published: July 30, 2024

Abstract Background Early detection of high‐risk nasopharyngeal carcinoma (NPC) recurrence is essential. We created a machine learning‐derived prognostic signature (MLDPS) by combining three learning (ML) models to predict progression‐free survival (PFS) in patients with non‐metastatic NPC. Methods A cohort 653 NPC was divided into training ( n = 457) and validation 196) dataset (7:3 ratio). The study included clinicopathological characteristics, hematologic markers, MRI findings models—random forest (RF), extreme gradient boosting (XGBoost), least absolute shrinkage selection operator (LASSO)—to (PFS). Venn diagram identified the overlapping signatures from ML algorithms. Cox proportional hazard analysis determined MLDPS for PFS. Results RF, XGBoost, LASSO algorithms six consensus factors 33 signatures. hazards showed that includes age, lymphocyte count, number positive lymph nodes, regional node density. Additionally, effectively stratified prognosis, low‐risk individuals showing better PFS than p < 0.001). Conclusion MLDPS, based on findings, crucial guiding clinical management personalizing treatments

Language: Английский

Citations

0
The potential predictive value and relationship of blood-based inflammatory markers with the clinical symptoms of Han Chinese patients with first-episode adolescent-onset schizophrenia DOI Creative Commons
Zhihua Liu,

Dali Lv,

Jianfeng Li

et al.

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

Published: Sept. 3, 2024

Background Inflammation is associated with the pathophysiology of schizophrenia. The blood markers for systemic inflammation include neutrophil-lymphocyte ratio (NLR), immune-inflammation index (SII), lymphocyte-monocyte (LMR), system response (SIRI), and platelet-lymphocyte (PLR). However, these their relationships clinical phenotypes among Han Chinese patients first-episode adolescent-onset schizophrenia (AOS) unclear. This investigation aimed to elucidate impact on AOS as well association blood-based symptoms. Methods Altogether, 203 individuals participated in this study, 102 101 healthy controls. assessment inflammatory indices was based complete cell count. Furthermore, schizophrenia-related symptoms were evaluated using five-factor model Positive Negative Syndrome Scale (PANSS). Results In patients, levels SIRI, PLR, SII, NLR significantly increased ( p &lt; 0.001 ), while LMR decreased ) compared multivariate logistic regression showed that LMR, NLR, SIRI (all 0.05) independently AOS. Moreover, Receiver operating characteristics indicated SII could effectively distinguish from Their areas under curves 0.734, 0.701, 0.715, 0.730 ). addition, Correlation analysis revealed negatively correlated PANSS total, negative, cognitive factor scores 0.05 ); positively score 0.01 positive negative total Conclusions research established involvement peripheral (LMR, SIRI) manifestations schizophrenia, can serve screening tools or potential state severity.

Language: Английский

Citations

0
The Systemic Inflammatory Response Index as a Novel Diagnostic Indicator for Bell’s Palsy DOI
Jianhui Liu, Guangyu Li, Rui Wu

et al.

British Journal of Hospital Medicine, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Sept. 30, 2024

Aims/Background The systemic inflammatory response index (SIRI), an emerging hematological marker of inflammation, has shown promise as a promising biomarker for variety conditions. This study aims to explore the diagnostic role SIRI in Bell’s palsy (BP). Methods For this retrospective study, 73 people diagnosed with BP between January 2021 and December 2023 were recruited, along healthy controls who age- sex-matched. other blood markers, including immune-inflammation (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), determined all participants, by enumerating their peripheral cell counts. Facial nerve function was assessed upon admission after one month treatment using House-Brackmann Nerve Grading System (H-B). According system, patients H-B grade 1–2 are considered recovered, while those 3–6 regarded not recovered. Results (0.94 vs 0.48, p < 0.001), SII (480.3 329.12, NLR (2.42 1.41, PLR (141.05 117.28, = 0.001) showed significant increase group compared control group. receiver operating characteristic (ROC) curve analysis revealed that area under (AUC) higher than SII, NLR, PLR, respectively. Upon one-month follow-up, differences values SIRI, observed favorable prognosis poor (SIRI: 1.07 0.87, 0.011; SII: 647.85 422.11, 0.005; NLR: 3.31 2.11, 0.013). AUC ROC found be lower but NLR. Conclusion potential important prognostic marker.

Language: Английский

Citations

0
Prognostic value of immune-inflammatory and nutrition indicators in non-metastatic nasopharyngeal carcinoma with negative plasma Epstein–Barr virus DNA DOI Creative Commons

Youliang Weng,

Lishui Wu,

Ying Li

et al.

Therapeutic Advances in Medical Oncology, Journal Year: 2024, Volume and Issue: 16

Published: Jan. 1, 2024

Background: Plasma Epstein–Barr virus (EBV) DNA has been identified as a significant prognostic marker for nasopharyngeal carcinoma (NPC), yet there is limited research on the prognosis of NPC patients with negative EBV DNA. Objectives: We explore value comprehensive immune-inflammatory and nutritional indicators to offer personalized treatment recommendations predictions non-metastatic Design: This was retrospective study. Methods: study retrospectively analyzed 257 between January 2015 December 2019. The Kaplan–Meier survival curves evaluated endpoints, group discrepancies were assessed log-rank tests. Principal component analysis (PCA) reduced data dimensionality. Univariate multivariate Cox regression analyses variables. Risk stratification performed based recursive partitioning (RPA). A robust model constructed by nomogram calibration curves, decision time-dependent area under curve analysis. Results: PCA employed compute immune-inflammation index (III) nutrition (NI). Multivariate revealed lactate dehydrogenase, III, NI variables overall (OS). Utilizing RPA, we stratified risk into three categories: low-risk (low III + high NI), middle-risk low high-risk (high III). Both middle- ( p = 0.025) groups < 0.001) exhibited poorer OS compared group. superior predictive accuracy tumor lymph node metastasis stage alone (C-index: 0.774 vs 0.679). Conclusion: Our validated significance in Additionally, clinical valuable insights individualized these patients.

Language: Английский

Citations

0
Prognostic role of systemic inflammation response index in patients with non-small cell lung cancer: a meta-analysis DOI Creative Commons

Xingchen Ye,

Menglu Dai,

Zhuoyi Xiang

et al.

BMJ Open, Journal Year: 2024, Volume and Issue: 14(11), P. e087841 - e087841

Published: Nov. 1, 2024

Objectives The significance of the systemic inflammation response index (SIRI) for predicting prognostic outcomes in patients with non-small cell lung cancer (NSCLC) has been analysed previous studies, but no consistent conclusions have obtained. Consequently, present meta-analysis was performed to identify SIRI prognosis NSCLC. Design This study followed PRISMA guidelines. Data sources PubMed, Web Science and Embase databases were searched between their inception 26 November 2023. Eligibility criteria selecting studies Studies investigating relationship survival NSCLC included. extraction synthesis value cases predicted using combined hazard ratios (HRs) 95% CIs. Results Nine articles 3728 enrolled this study. Based on our data, a higher markedly linked poor overall (OS) (HR=2.08, CI 1.68 2.58, p<0.001) inferior progression-free (PFS) (HR=1.74, 1.47 2.07, According subgroup analysis, country, history cut-off did not affect OS PFS (p<0.05). Conclusions A significantly associated both Moreover, had stable efficiency various subgroups.

Language: Английский

Citations

0