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Chen JH, Zhang LW, Liang WJ, Lin WZ, Chen XF, Lin ZJ, Wang CX, Lin KY, Guo YS. The association between systemic inflammatory response index and contrast-associated acute kidney injury in patients undergoing elective percutaneous coronary intervention. Ren Fail 2024; 46:2330621. [PMID: 38561250 PMCID: PMC10986433 DOI: 10.1080/0886022x.2024.2330621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND The systemic inflammatory response index (SIRI), served as a novel inflammatory biomarker, is the synthesis of neutrophils, monocytes and lymphocytes. AIMS We hypothesized that SIRI has predictive value for contrast-associated acute kidney injury (CA-AKI) and long-term mortality in patients undergoing elective percutaneous coronary intervention (PCI). METHODS We retrospectively observed 5685 patients undergoing elective PCI from January 2012 to December 2018. Venous blood samples were collected to obtain the experimental data on the day of admission or the morning of the next day. SIRI = neutrophil count × monocyte count/lymphocyte count. CA-AKI was defined as an increase of 50% or 0.3 mg/dl in SCr from baseline within 48 h after contrast exposure. RESULTS The incidence of CA-AKI was 6.1% (n = 352). The best cutoff value of SIRI for predicting CA-AKI was 1.39, with a sensitivity of 52.3% and a specificity of 67.3%. [AUC: 0.620, 95% confidence interval (CI): 0.590-0.651, p < 0.001]. After adjusting for potential confounders, multivariate analysis showed that the high SIRI group (SIRI > 1.39) was a strong independent predictor of CA-AKI in patients undergoing elective PCI compared with the low SIRI group (SIRI ≤ 1.39) (odds ratio = 1.642, 95% CI: 1.274-2.116, p < 0.001). Additionally, COX regression analysis showed that SIRI > 1.39 was significantly associated with long-term mortality at a median follow-up of 2.8 years. [Hazard ratio (HR)=1.448, 95%CI: 1.188-1.765; p < 0.001]. Besides, Kaplan-Meier survival curve also indicated that the cumulative rate of mortality was considerably higher in the high SIRI group. CONCLUSIONS High levels of SIRI are independent predictors of CA-AKI and long-term mortality in patients undergoing elective PCI.
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Affiliation(s)
- Jun-Han Chen
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Li-Wei Zhang
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Wen-Jia Liang
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Wei-ze Lin
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Xiao-Fang Chen
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Zhi-Jie Lin
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Chang-Xi Wang
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Kai-Yang Lin
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
| | - Yan-Song Guo
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China
- Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, China
- Fujian Heart Failure Center Alliance, Fuzhou, China
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Xu P, Cao Y, Ren R, Zhang S, Zhang C, Hao P, Zhang M. Usefulness of the Systemic Inflammation Response Index and the Systemic Immune Inflammation Index in Predicting Restenosis After Stent Implantation. J Inflamm Res 2024; 17:4941-4955. [PMID: 39051057 PMCID: PMC11268991 DOI: 10.2147/jir.s461277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 07/11/2024] [Indexed: 07/27/2024] Open
Abstract
Purpose The systemic inflammation response index (SIRI) and the systemic immune inflammation index (SII) are indicators that reflect the body's overall systemic inflammatory response. Inflammation plays an important role in the pathogenesis of in-stent restenosis (ISR). The aim of this study was to investigate the predictive value of preoperative SIRI and SII for the occurrence of ISR in patients undergoing coronary stent implantation. Materials and Methods We retrospectively analyzed the clinical, hematological, and angiographic data of 387 patients who underwent coronary angiography for recurrent angina after coronary stent implantation at Qilu Hospital of Shandong University. Receiver operating characteristic curve (ROC) analysis was used to determine the optimal cutoff values for SIRI and SII to predict ISR. Based on the optimal cutoff values for SIRI and SII, patients were categorized into high-SIRI, low-SIRI, high-SII, and low-SII groups. Multivariate logistic regression models were constructed to assess the predictive value of SIRI and SII for ISR >50% and ISR >70%. Results This study included a total of 387 patients who underwent coronary angiography and follow-up at Qilu Hospital of Shandong University. Patients in the high-SIRI group had a higher incidence of ISR than those in the low-SIRI group (ISR >50%: 44.8% vs 30.7%, p = 0.018; ISR >70%: 41.5% vs 4.5%, p < 0.001). In addition, ISR occurred more frequently in patients with a higher SII than in patients with a lower SII (ISR >50%: 52.6% vs 35.7%, p = 0.001; ISR >70%: 51.9% vs 23%, p < 0.001). In multivariate logistic regression analysis, SIRI and SII were found to be independent predictive factors for ISR, both as continuous and categorical variables. In the ROC analysis, the optimal cutoff value for SIRI was set at 0.54 (sensitivity: 84.5%, specificity: 27%), and the optimal cutoff value for SII was set at 545.29 (sensitivity: 44.1%, specificity: 71.7%). Conclusion Elevated preoperative SIRI and SII values help predict ISR and may serve as a useful screening tool to perform interventional procedures based on the patient's risk of ISR after stent implantation.
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Affiliation(s)
- Panpan Xu
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Yu Cao
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Ruiqing Ren
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Shuai Zhang
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Cheng Zhang
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Panpan Hao
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Meng Zhang
- Department of Cardiology, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
- State Key Laboratory for Innovation and Transformation of Luobing Theory, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
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Wang W, Guo XL, Qiu XP, Yu YJ, Tu M. Systemic immune-inflammation index mediates the association between metabolic dysfunction-associated fatty liver disease and sub-clinical carotid atherosclerosis: a mediation analysis. Front Endocrinol (Lausanne) 2024; 15:1406793. [PMID: 38957443 PMCID: PMC11217321 DOI: 10.3389/fendo.2024.1406793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 06/06/2024] [Indexed: 07/04/2024] Open
Abstract
Background Limited research has been conducted to quantitatively assess the impact of systemic inflammation in metabolic dysfunction-associated fatty liver disease (MAFLD) and sub-clinical carotid atherosclerosis (SCAS). The systemic immune-inflammation index (SII), which integrates inflammatory cells, has emerged as a reliable measure of local immune response and systemic inflammation Therefore, this study aims to assess the mediating role of SII in the association between MAFLD and SCAS in type 2 diabetes mellitus (T2DM). Method This study prospectively recruited 830 participants with T2DM from two centers. Unenhanced abdominal CT scans were conducted to evaluate MAFLD, while B-mode carotid ultrasonography was performed to assess SCAS. Weighted binomial logistic regression analysis and restricted cubic splines (RCS) analyses were employed to analyze the association between the SII and the risk of MAFLD and SCAS. Mediation analysis was further carried out to explore the potential mediating effect of the SII on the association between MAFLD and SCAS. Results The prevalence of both MAFLD and SCAS significantly increased as the SII quartiles increased (P<0.05). MAFLD emerged as an independent factor for SCAS risk across three adjusted models, exhibiting odds ratios of 2.15 (95%CI: 1.31-3.53, P < 0.001). Additionally, increased SII quartiles and Ln (SII) displayed positive associations with the risk of MAFLD and SCAS (P < 0.05). Furthermore, a significant dose-response relationship was observed (P for trend <0.001). The RCS analyses revealed a linear correlation of Ln (SII) with SCAS and MAFLD risk (P for nonlinearity<0.05). Importantly, SII and ln (SII) acted as the mediators in the association between MAFLD and SCAS following adjustments for shared risk factors, demonstrating a proportion-mediated effect of 7.8% and 10.9%. Conclusion SII was independently correlated with MAFLD and SCAS risk, while also acting as a mediator in the relationship between MAFLD and SCAS.
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Affiliation(s)
- Wei Wang
- National Metabolic Management Center, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
| | - Xiu Li Guo
- National Metabolic Management Center, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
| | - Xiu Ping Qiu
- National Metabolic Management Center, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
| | - Yun Jie Yu
- Fuqing City Hospital Affiliated with Fujian Medical University, Fuqin, Fujian, China
| | - Mei Tu
- National Metabolic Management Center, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
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Chen K, Li S, Xie Z, Liu Y, Li Y, Mai J, Lai C, Wu Q, Zhong S. Association between oxidative balance score, systemic inflammatory response index, and cardiovascular disease risk: a cross-sectional analysis based on NHANES 2007-2018 data. Front Nutr 2024; 11:1374992. [PMID: 38899319 PMCID: PMC11186475 DOI: 10.3389/fnut.2024.1374992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024] Open
Abstract
Background There is limited research on the relationship between Systemic Oxidative Stress (SOS) status and inflammatory indices. Adding onto existing literature, this study aimed to examine the association between dietary Oxidative Balance Score (OBS) and lifestyle OBS (which make up the overall OBS), and Cardiovascular Disease (CVD) prevalence at different Systemic Immune Inflammation Index (SII) and Systemic Inflammatory Response Index (SIRI) levels. Methods This study involved 9,451 subjects selected from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. The OBS comprised 20 dietary and lifestyle factors. Statistical methods included Weighted Linear Regression Analysis (WLRA), Logistic Regression Analysis (LRA), Sensitivity Analysis (SA), and Restricted Cubic Spline (RCS) analysis. Results The multivariate WLRA revealed that OBS was significantly negatively correlated with both SII (β = -5.36, p < 0.001) and SIRI (β = -0.013, p < 0.001) levels. In SA, removing any single OBS component had no significant effect on the WLRA results of SII and SIRI. Further subgroup analyses revealed that OBS was more impactful in lowering SII in women than in men. Additionally, OBS was more significantly negatively correlated with SII and SIRI in the low-age group than in the high-age group. Moreover, RCS analysis confirmed this linear relationship. Compared to dietary OBS, lifestyle OBS exerted a more significant effect on Coronary Artery Disease (CAD) (OR: 0.794, p = 0.002), hypertension (OR: 0.738, p < 0.001), Congestive Heart Failure (CHF) (OR: 0.736, p = 0.005), Myocardial Infarction (MI) (OR: 0.785, p = 0.002), and stroke (OR: 0.807, p = 0.029) prevalence. Furthermore, SIRI exhibited a significant interaction in the relationship between overall OBS, dietary OBS, and CHF (P for interaction < 0.001). On the other hand, SII had a significant interaction in the relationship between overall OBS, dietary OBS, and MI (P for interaction < 0.05). Conclusion OBS, including lifestyle and dietary OBS, were significantly negatively associated with SII and SIRI. Higher lifestyle OBS was associated with reduced risks of CAD, hypertension, CHF, MI, and stroke.
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Affiliation(s)
- Kai Chen
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Senlin Li
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Zhipeng Xie
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yingjian Liu
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yangchen Li
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jinxia Mai
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Chengyang Lai
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Qili Wu
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Shilong Zhong
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pharmacy, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
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Ma H, Cai X, Hu J, Song S, Zhu Q, Zhang Y, Ma R, Shen D, Yang W, Zhou P, Zhang D, Luo Q, Hong J, Li N. Association of systemic inflammatory response index with bone mineral density, osteoporosis, and future fracture risk in elderly hypertensive patients. Postgrad Med 2024; 136:406-416. [PMID: 38753519 DOI: 10.1080/00325481.2024.2354158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 05/08/2024] [Indexed: 05/18/2024]
Abstract
OBJECTIVES This study sought to investigate the relationship between the systemic inflammatory response index (SIRI) and bone mineral density (BMD), osteoporosis, and future fracture risk in elderly hypertensive patients. METHODS Elderly hypertensive patients (age ≥60 years) who attended our hospital between January 2021 and December 2023 and completed BMD screening were included in the study. Analyses were performed with multivariate logistic and linear regression. RESULTS The multiple linear regression indicated that SIRI levels were significantly negatively correlated with lumbar 1 BMD (β = -0.15, 95% CI: -0.24, -0.05), lumbar 2 BMD (β = -0.15, 95% CI: -0.24, -0.05), lumbar 3 BMD (β = -1.35, 95% CI: -0.23, -0.02), lumbar 4 BMD (β = -0.11, 95% CI: -0.30, -0.10), femur neck BMD (β = -0.11, 95% CI: -0.18, -0.05) and Ward's triangle BMD (β = -0.12, 95% CI: -0.20, -0.05) among elderly hypertensive patients, after fully adjusting for confounders. Furthermore, we observed that SIRI was positively associated with future fracture risk in elderly hypertensive patients. Specifically, SIRI was associated with an increased risk of major osteoporotic fractures (β = 0.33) and hip fractures (β = 0.25). The logistic regression analysis indicated that there is an association between the SIRI level and an increased risk of osteoporosis (OR = 1.60, 95% CI = 1.37, 1.87), after fully adjusting for confounders. CONCLUSIONS Our findings indicate a potential association between SIRI and BMD, osteoporosis, and the risk of future fractures in elderly hypertensive patients. However, further studies are warranted to confirm these findings.
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Affiliation(s)
- Huimin Ma
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Junli Hu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Shuaiwei Song
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Yingying Zhang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Rui Ma
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Di Shen
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Pan Zhou
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Delian Zhang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Jing Hong
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, China
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Zhang J, Fan X, Xu Y, Wang K, Xu T, Han T, Hu C, Li R, Lin X, Jin L. Association between inflammatory biomarkers and mortality in individuals with type 2 diabetes: NHANES 2005-2018. Diabetes Res Clin Pract 2024; 209:111575. [PMID: 38346591 DOI: 10.1016/j.diabres.2024.111575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/25/2024] [Accepted: 02/06/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE This study aimed to examine independent association between inflammatory biomarkers and all-cause mortality as well as cardio-cerebrovascular disease (CCD) mortality among U.S. adults with diabetes. METHODS A cohort of 6412 U.S. adults aged 20 or older was followed from the start until December 31, 2019. Statistical models such as Cox proportional hazards model (Cox) and Kaplan-Meier (K-M) survival curves were employed to investigate the associations between the inflammatory biomarkers and all-cause mortality and CCD mortality. RESULTS After adjusting for confounding factors, the highest quartile of inflammatory biomarkers (NLR HR = 1.99; 95 % CI:1.54-2.57, MLR HR = 1.93; 95 % CI:1.46-2.54, SII HR = 1.49; 95 % CI:1.18-1.87, SIRI HR = 2.32; 95 % CI:1.81-2.96, nLPR HR = 2.05; 95 % CI:1.61-2.60, dNLR HR = 1.94; 95 % CI:1.51-2.49, AISI HR = 1.73; 95 % CI:1.4 1-2.12)) were positively associated with all-cause mortality compared to those in the lowest quartile. K-M survival curves indicated that participants with an inflammatory biomarker above a certain threshold had a higher risk of both all-cause mortality and CCD mortality (Log rank P < 0.05). CONCLUSION Some biomarkers such as NLR, MLR, SII, AISI, SIRI, and dNLR, are significantly associated with all-cause mortality and CCD mortality among U.S. adults with diabetes. The risk of both outcomes increased when the biomarkers surpassed a specific threshold.
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Affiliation(s)
- Jiaqi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Yan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Kaiyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Tong Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Tianyang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Chengxiang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Runhong Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Xinli Lin
- Department of Child and Adolescent Health, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China.
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Zhu D, Wang C, Zhou Y, Che H, Wang R, Cheng L, Rao C, Zhong Q, Li Z, Duan Y, He K. The Associations of Two Novel Inflammation Biomarkers, SIRI and SII, with Mortality Risk in Patients with Chronic Heart Failure. J Inflamm Res 2024; 17:1255-1264. [PMID: 38415264 PMCID: PMC10898362 DOI: 10.2147/jir.s451190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/16/2024] [Indexed: 02/29/2024] Open
Abstract
Background The associations of two novel inflammation biomarkers, systemic inflammation response index (SIRI) and systemic immune inflammation index (SII), with mortality risk in patients with chronic heart failure (CHF) are not well-characterized. Methods This retrospective cohort study included patients with CHF in two medical centers of Chinese People's Liberation Army General Hospital, Beijing, China. The outcomes of this study included in-hospital mortality and long-term mortality. Associations of SIRI and SII with mortality were assessed using multivariable regressions and receiver operating characteristic (ROC) analyses. Results A total of 6232 patients with CHF were included in the present study. We documented 97 cases of in-hospital mortality and 1738 cases of long-term mortality during an average 5.01-year follow-up. Compared with patients in the lowest quartile of SIRI, those in the highest quartile exhibited 134% higher risk of in-hospital mortality (adjusted odds ratio, 2.34; 95% confidence interval [CI], 1.16-4.72) and 45% higher risk of long-term mortality (adjusted hazard ratio, 1.45; 95% CI, 1.25-1.67). Compared with patients in the lowest quartile of SII, those in the highest quartile exhibited 27% higher risk of long-term mortality (adjusted hazard ratio, 1.27; 95% CI, 1.11-1.46). In ROC analyses, SIRI showed better prognostic discrimination than C-reactive protein (area under the curve: 69.39 vs 60.91, P = 0.01, for in-hospital mortality; 61.82 vs 58.67, P = 0.03, for 3-year mortality), whereas SII showed similar prognostic value with C-reactive protein. Conclusion SIRI and SII were significantly associated with mortality risk in patients with CHF. SIRI may provide better prognostic discrimination than C-reactive protein.
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Affiliation(s)
- Di Zhu
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Chi Wang
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - You Zhou
- School of Medicine, Nankai University, Tianjin, 300071, People's Republic of China
| | - Hebin Che
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Ruiqing Wang
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Liting Cheng
- School of Medicine, Nankai University, Tianjin, 300071, People's Republic of China
| | - Chongyou Rao
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Qin Zhong
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Zongren Li
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Yongjie Duan
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
- Graduate School of PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Kunlun He
- Medical Big Data Research Center, Medical Innovation Research Department of PLA General Hospital, Beijing, 100853, People's Republic of China
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Guo H, Song B, Zhou R, Yu J, Chen P, Yang B, Pan N, Li C, Zhu Y, Wang J. Risk Factors and Dynamic Nomogram Development for Surgical Site Infection Following Open Wedge High Tibial Osteotomy for Varus Knee Osteoarthritis: A Retrospective Cohort Study. Clin Interv Aging 2023; 18:2141-2153. [PMID: 38143487 PMCID: PMC10748744 DOI: 10.2147/cia.s436816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 12/13/2023] [Indexed: 12/26/2023] Open
Abstract
Background As the worldwide population ages, the population receiving open wedge high tibial osteotomy (OWHTO) is growing, and surgical site infection (SSI) is a rare but fatal surgical complication. This study aimed to identify risk factors independently associated with SSI following OWHTO and develop a predictive nomogram. Methods Clinical data of patients who received OWHTO and followed up for more than 12 months in our hospital were retrospectively reviewed. Multivariable logistic regression was performed to determine independent risk factors for SSI and to construct predictive nomograms. The study further illustrated the predictive performance of the model by using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA). Results A total of 1294 eligible patients were included in the study. Multivariate analysis revealed tobacco consumption (OR=3.44, p=0.010), osteotomy size ≥12 mm (OR=3.3, p=0.015), the use of allogeneic bone or artificial bone graft substitutes (allogeneic bone vs none, OR=4.08, p=0.037; artificial bone vs none, OR=5.16, p=0.047), Kellgren-Lawrence (K-L) grade IV (OR=2.5, p=0.046), systemic immune-inflammation index (SII) >423.62 (OR=6.2, p<0.001), high-sensitivity C-reactive protein (HCRP) >2.6 mg/L (OR=2.42, p=0.044), and a higher level of fasting blood glucose (FBG) (OR=1.32, p=0.022) were the independent predictors of SSI. The cutoff score of the model was 148, with a sensitivity of 76.0% and specificity of 81.0%. The concordance index (C-index) and Brier score of the nomogram were 0.856 and 0.017, and the corrected values after 1000 bootstrapping validations were 0.820 and 0.018, respectively. Furthermore, the ROC curve, calibration curve, and DCA exhibited excellent predictive accuracy and clinical applicability of the model. Conclusion This study developed a dynamic nomogram based on seven predictors, which allowed surgeons to individualize risk stratification of patients and intervene promptly to reduce SSI rates.
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Affiliation(s)
- Haichuan Guo
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Bixuan Song
- Division of Medical Sciences, The Chinese University of Hong Kong, Hong Kong, People’s Republic of China
| | - Ruijuan Zhou
- College of Education, Hebei Normal University, Shijiazhuang, Hebei, 050010, People’s Republic of China
| | - Jiahao Yu
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Pengzhao Chen
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Bin Yang
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Naihao Pan
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Chengsi Li
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Yanbin Zhu
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
- Orthopedic Research Institute of Hebei Province, Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, Hebei, 050051, People’s Republic of China
| | - Juan Wang
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050051, People’s Republic of China
- Orthopedic Research Institute of Hebei Province, Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, Hebei, 050051, People’s Republic of China
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Zhang Y, Xing Z, Deng A. Unveiling the predictive capacity of inflammatory and platelet markers for central retinal artery occlusion. Thromb Res 2023; 232:108-112. [PMID: 37976730 DOI: 10.1016/j.thromres.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 10/19/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Cell counting in peripheral blood samples and their combinations have gained wide usage in clinical research due to their convenient and minimally invasive sampling method. This study aims to evaluate the predictive value of neutrophil-to-lymphocyte ratio (NLR), systemic Immunoinflammatory Index (SII), and systemic Inflammatory Response Index (SIRI), and platelet distribution width (PDW) for the occurrence of non-arteritic Central retinal artery occlusion (NA-CRAO). METHODS We included 123 patients diagnosed with NA-CRAO and 120 age-, sex- and blood pressure-matched individuals in this study. All participants underwent a comprehensive ophthalmic assessment. Peripheral blood samples were retrospectively analysed to obtain patients' blood counts and platelet-related indices, and further NLR, SII and SIRI were calculated. RESULTS NLR, SII, SIRI, and PDW were all found to be elevated and significantly different in NA-CRAO patients compared to controls (p < 0.05). Notably, elevated NLR and PDW were identified as independent influences on the development of NA-CRAO, with a combined predicted AUC of 0.876. CONCLUSION The utilization of NLR and PDW in NA-CRAO prediction may prove to be more effective compared to SII and SIRI.
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Affiliation(s)
- Yupeng Zhang
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, 261000 Weifang, Shandong, China
| | - Zhen Xing
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, 261000 Weifang, Shandong, China
| | - Aijun Deng
- Department of Ophthalmology, Affiliated Hospital of Weifang Medical University, 261000 Weifang, Shandong, China.
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Wang S, Pan X, Jia B, Chen S. Exploring the Correlation Between the Systemic Immune Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), and Type 2 Diabetic Retinopathy. Diabetes Metab Syndr Obes 2023; 16:3827-3836. [PMID: 38033457 PMCID: PMC10683512 DOI: 10.2147/dmso.s437580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/18/2023] [Indexed: 12/02/2023] Open
Abstract
Purpose Systemic immune inflammation index (SII), systemic inflammatory response index (SIRI) are new inflammation indicators calculated after integrating multiple indicators in blood routine. This study aims to investigate the correlation between the SII, SIRI and type 2 diabetic retinopathy (T2DR) and the diagnostic significance of these indices in T2DR. Patients and Methods A retrospective analysis involved 500 patients diagnosed with type 2 diabetes (T2DM), categorized into two groups based on fundus examination results: the non-diabetic retinopathy group (NDR, n=256) and the diabetic retinopathy group (DR, n=244). We calculated SII and SIRI, and analyzed their associations with T2DR. Results The DR group exhibited significantly higher SII and SIRI values compared to the NDR group (P<0.001). Mantel-Haenszel's chi-square trend analysis revealed a notable linear trend (P<0.001) between SII, SIRI, and DR. SII and SIRI exhibited moderate positive correlations with DR, (r=0.354, P<0.001; r=0.469, P<0.001), respectively. Binary logistic regression analysis identified SII and SIRI as independent risk factors for DR. Restrictive cubic spline analysis demonstrated a significant linear relationship between SII and DR (P total trend <0.001, P nonlinear = 0.0657). Stratification by gender indicated that SII is more sensitive to the onset of DR in men. A significant nonlinear relationship was observed between SIRI and DR (P total trend <0.001, P nonlinear = 0.0025), with no gender-related differences in SIRI's association with DR. ROC curve analysis demonstrated that the combined use of SII and SIRI achieved the highest diagnostic accuracy for DR, with an AUC of 0.782, 74.6% sensitivity, and 69.9% specificity. Conclusion Our findings suggested that SII and SIRI as independent risk factors for DR. The high accuracy of SII combined with SIRI in diagnosing DR underscores their potential as early biological indicators for DR diagnosis.
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Affiliation(s)
- Shuqi Wang
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Xiaoyu Pan
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Boying Jia
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Shuchun Chen
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
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11
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Li M, Li X, Gao H, Li P, Zhang L, Zhang X, Liu P, Yang X, Wu L, Zeng J, Wu S, Sun L. U-Shaped Association Between Monocyte-Lymphocyte Ratio and Risk of Cardiac Conduction Block. J Inflamm Res 2023; 16:5393-5402. [PMID: 38026237 PMCID: PMC10664808 DOI: 10.2147/jir.s438722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/14/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose Inflammation plays a critical role in the development of cardiac conduction block (CCB), which is associated with an increased risk of morbidity and mortality. The monocyte-lymphocyte ratio (MLR) acts as a novel inflammatory marker; however, its association with CCB has not yet been studied. This study aimed to investigate the association between MLR and CCB risk. Patients and Methods In total, 82,472 CCB-free participants were identified from the Kailuan study. MLR was calculated using the monocyte count/lymphocyte count. The participants were stratified based on quartiles of MLR levels. Incident CCB and its subtypes were ascertained from electrocardiograms at biennial follow-up visits. The Cox proportional hazards model and restricted cubic spline analysis were used to investigate the association between MLR with CCB and its subtypes. Results During a median follow-up of 10.4 years, 3222 incident CCB cases were observed. A U-shaped association was observed between MLR and CCB risk (Pnonlinearity <0.05). After multivariate adjustment, individuals in the highest MLR quartile had a hazard ratio (HR) of 1.212 (95% CI: 1.097-1.340; Q4 vs Q2), while those in the lowest MLR quartile had an HR of 1.106 (95% CI: 1.000-1.224; Q1 vs Q2). Sensitivity and subgroup analyses yielded consistent results. The U-shaped association persisted for atrioventricular block (AVB) in subtype analyses. Conclusion MLR was significantly associated with an increased risk of new-onset CCB. Assessing MLR may have clinical relevance for predicting CCB risk, providing valuable insights for preventive strategies and patient management. Pre-Registered Clinical Trial Number The pre-registered clinical trial number is ChiCTR-TNC-11001489.
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Affiliation(s)
- Man Li
- Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People’s Republic of China
- Graduate School, North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Xintao Li
- Department of Cardiology, The First Hospital of Soochow University, Jiangsu, People’s Republic of China
| | - Hongwei Gao
- Department of Emergency, Caofeidian District hospital of Tangshan City, Tangshan, People’s Republic of China
| | - Peng Li
- Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Li Zhang
- Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Xiaoling Zhang
- Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Peipei Liu
- School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Xuemei Yang
- Graduate School, North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Lili Wu
- Department of Cardiology, Shanghai Songjiang District Central Hospital, Shanghai, People’s Republic of China
| | - Jiangwei Zeng
- Graduate School, North China University of Science and Technology, Tangshan, People’s Republic of China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, Tangshan, People’s Republic of China
| | - Lixia Sun
- Department of Emergency, The Affiliated Hospital of North China University of Science and Technology, Tangshan, People’s Republic of China
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Cai X, Song S, Hu J, Wang L, Shen D, Zhu Q, Yang W, Luo Q, Hong J, Li N. Systemic Inflammation Response Index as a Predictor of Stroke Risk in Elderly Patients with Hypertension: A Cohort Study. J Inflamm Res 2023; 16:4821-4832. [PMID: 37901383 PMCID: PMC10612501 DOI: 10.2147/jir.s433190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/10/2023] [Indexed: 10/31/2023] Open
Abstract
Objective This study aimed to evaluate the relationship between the systemic inflammation response index (SIRI) and the risk of stroke and its subtypes in elderly patients with hypertension and to explore its predictive accuracy and any potential effect modifiers. Methods The study included 4749 participants with no history of stroke at baseline. Cox regression was used to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CIs). Interaction tests and subgroup analyses were conducted. The predictive performance of various inflammatory indicators for stroke was compared using the area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results During a median follow-up period of 3.2 years, 640 strokes were recorded, of which 526 were ischemic and the remainder hemorrhagic. After adjustment for confounders, compared to the reference group, the HRs (95% CI) of stroke were 1.28 (95% CI, 1.01-1.64) and 1.46 (95% CI, 1.14-1.88) for participants in the second and third tertiles, respectively. We observed interactions between SIRI and homocysteine levels (< 15 vs. ≥ 15 μmol/L) (p for interaction = 0.014) on ischemic stroke risk. Furthermore, the AUC, NRI, and IDI analyses demonstrated that SIRI exhibited better predictive value for stroke risk when compared to other indicators. Similar results were observed for both ischemic and hemorrhagic strokes. Conclusion Elevated SIRI levels were significantly associated with the risk of stroke and its subtypes in elderly patients with hypertension, suggesting its potential as a promising indicator for stroke risk in this population. However, larger prospective studies are needed to confirm these findings.
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Affiliation(s)
- Xintian Cai
- Graduate School, Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Shuaiwei Song
- Graduate School, Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Junli Hu
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
| | - Lei Wang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
| | - Di Shen
- Graduate School, Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China
| | - Qing Zhu
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
| | - Wenbo Yang
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
| | - Qin Luo
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
| | - Jing Hong
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
| | - Nanfang Li
- Hypertension Center of People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, People’s Republic of China
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Kong F, Huang J, Xu C, Huang T, Wen G, Cheng W. System inflammation response index: a novel inflammatory indicator to predict all-cause and cardiovascular disease mortality in the obese population. Diabetol Metab Syndr 2023; 15:195. [PMID: 37821960 PMCID: PMC10566161 DOI: 10.1186/s13098-023-01178-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/01/2023] [Indexed: 10/13/2023] Open
Abstract
AIM This study aims to investigate the relationship between two novel inflammatory markers, namely, the Systemic Inflammatory Response Index (SIRI) and the Systemic Immune Inflammatory Index (SII), as well as the all-cause and cardiovascular disease (CVD) mortality in the obese population. MATERIALS AND METHODS We conducted a prospective cohort study based on the data of 13,026 obese adults (age ≥ 18 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 and followed until December 2019. SIRI was calculated by the formula: (neutrophil count × monocyte count) / lymphocyte count, while that of SII was: (platelet count × neutrophil count)/lymphocyte count. The association of SIRI and SII with all-cause and CVD mortality was evaluated using Cox regression. In addition, the nomogram was performed to predict 10-year survival probability. RESULTS During a median follow-up of 137 months, 1959 and 553 all-cause and CVD deaths were recorded, respectively. Spearman correlation analysis indicated that SIRI and SII were unrelated to almost all baseline characteristics (r < 0.15). Multivariate Cox regression models displayed that each standard deviation (SD) increase in SIRI was associated with a 16% (HR 1.16; 95% CI 1.09-1.24) and 22% (HR 1.22; 95% CI 1.10-1.36) increase in the risk of all-cause and CVD mortality, respectively. Likewise, every SD increase in SII was correlated with a 9% (HR 1.09; 95% CI 1.02-1.16) and 14% (HR 1.14; 95% CI 1.04-1.26) increase in the risk of all-cause and CVD mortality, respectively. The predictive value of SIRI for all-cause and CVD mortality (AUC = 0.601 and 0.624) exceeded that of SII (AUC = 0.528 and 0.539). Moreover, the nomogram displayed a substantial predictive value for 10-year survival (AUC = 0.847) with sensitivity and specificity exceeding 75%. CONCLUSIONS In the obese population, SIRI and SII are independent risk factors for all-cause and CVD mortality. Notably, the predictive ability of SIRI for both all-cause and CVD mortality significantly outperforms that of SII, suggesting that SIRI is a more valuable marker of inflammation.
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Affiliation(s)
- Fanliang Kong
- University Medical Center of Göttingen, Georg-August University, Göttingen, Germany
| | - Junhao Huang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China
| | - Chunhua Xu
- Department of Recuperation, Lintong Rehabilitation, and Recuperation Center, Xian, Shaanxi, China
| | - Tingyuan Huang
- Department of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Grace Wen
- University Medical Center of Göttingen, Georg-August University, Göttingen, Germany
| | - Wenke Cheng
- Medical Faculty, University of Leipzig, Leipzig, Germany.
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Fan QX, Liu JH, Mo DG. Systemic Immune-Inflammatory Index as a Novel Biomarker of Carotid Artery Stenosis. Angiology 2023; 74:798-799. [PMID: 36627163 DOI: 10.1177/00033197231151813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
In this manuscript, we discussed some points about systemic immune-inflammatory index (SII) and carotid artery stenosis (CAS) and put forward our comments.
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Affiliation(s)
- Qing-Xin Fan
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, PR China
| | - Jia-Hui Liu
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, PR China
| | - De-Gang Mo
- Department of Cardiology, Liaocheng People's Hospital Affiliated to Shandong First Medical University, Liaocheng, PR China
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15
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Chen X, Ou Y, Wang Z, Liu H, Liu Y, Liu M. Association between systemic immune-inflammation index and risk of lower extremity deep venous thrombosis in hospitalized patients: a 10-year retrospective analysis. Front Cardiovasc Med 2023; 10:1211294. [PMID: 37396591 PMCID: PMC10313113 DOI: 10.3389/fcvm.2023.1211294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
Background The systemic immune-inflammation index (SII), as a novel inflammatory biomarker, has recently attracted attention in cardiovascular disease research. However, the relationship between SII and risk of lower extremity deep venous thrombosis (LEDVT) remains unclear to date. Thus, this study aimed to explore the association in a large sample over a 10-year period (2012-2022). Methods All hospitalized patients undergoing lower extremity compression ultrasonography (CUS) examination were consecutively screened by searching our hospital information system database. The receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value for high and low SII group. Multivariate logistic regression analyses were performed to investigate the relationship between SII and LEDVT risk. Propensity score matching (PSM), subgroup and sensitivity analyses were also conducted. Moreover, restricted cubic spline (RCS) regression and two-piecewise linear regression models were used to assess the dose-response relationship between natural log transformed SII [ln(SII)] and risk of LEDVT. Results A total of 16,725 consecutive hospitalized patients were included, and 1,962 LEDVT events occurred. After adjusting for confounding factors, patients in the high SII group (≥ 574.2 × 109/L) showed a 1.740-fold risk of LEDVT (95% CI: 1.546-1.959, P < 0.001), and elevated ln(SII) was associated with a 36.1% increased risk of LEDVT (95% CI: 1.278-1.449, P < 0.001). PSM, subgroup and sensitivity analyses confirmed the robustness of the association. A non-linear relationship was observed (P non-linear < 0.001), with a threshold value of 5.6 × 109/L for all LEDVT events. Above the threshold, each unit increase in ln(SII) had a 1.369-fold higher risk of LEDVT (95% CI: 1.271-1.475, P < 0.001). The association also existed in both distal and proximal LEDVT. Conclusion Elevated SII is significantly associated with an increased risk of LEDVT in hospitalized patients. Additionally, the association is non-linear and exhibit a threshold effect.
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Affiliation(s)
- Xi Chen
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Yili Ou
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Zhicong Wang
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
- Department of Orthopedics, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Hailong Liu
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Yuehong Liu
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Mozhen Liu
- Department of Orthopedics, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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16
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Nicoară DM, Munteanu AI, Scutca AC, Mang N, Juganaru I, Brad GF, Mărginean O. Assessing the Relationship between Systemic Immune-Inflammation Index and Metabolic Syndrome in Children with Obesity. Int J Mol Sci 2023; 24:ijms24098414. [PMID: 37176120 PMCID: PMC10179406 DOI: 10.3390/ijms24098414] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023] Open
Abstract
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 cardiovascular disease to obesity is related to low-grade inflammation. We designed this study to investigate the diagnostic utility of inflammatory indices (NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; SII, systemic immune-inflammation index; SIRI, systemic inflammation response index) in obese children with metabolic syndrome (MetS) and their relationship with cardiometabolic risk biomarkers, such as the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), triglyceride-to-high-density lipoprotein cholesterol (TG:HDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C). A total of 191 obese children from one large Romanian reference center was included in the study. Patients were classified in two groups according to the presence (MetS group) or absence (non-MetS group) of metabolic syndrome. According to our results, the SII index proved to have diagnostic value in distinguishing MetS patients among children with obesity (AUC = 0.843, a sensitivity of 0.83, and a specificity of 0.63). Furthermore, the SII was positively associated with cardiometabolic risk biomarkers (HOMA-IR, p < 0.001; TG:HDL-C, p = 0.002; non-HDL-C, p = 0.021), highlighting its possible role as an additional measure of cardiometabolic instability in obese children.
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Affiliation(s)
- Delia-Maria Nicoară
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
| | - Andrei-Ioan Munteanu
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
| | - Alexandra-Cristina Scutca
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
| | - Niculina Mang
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
| | - Iulius Juganaru
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
- Department XI Pediatrics, Discipline I Pediatrics, Disturbances of Growth and Development in Children-BELIVE, 300011 Timisoara, Romania
| | - Giorgiana-Flavia Brad
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
| | - Otilia Mărginean
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
- Department XI Pediatrics, Discipline I Pediatrics, Disturbances of Growth and Development in Children-BELIVE, 300011 Timisoara, Romania
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Yildiz C, Yuksel Y, Rakici IT, Katkat F, Ayça B, Turhan Çağlar FN. Assessment of Systemic Immune-Inflammation Index and Systemic Inflammation-Response Index in Different Coronary Artery Plaque Types. Angiology 2023; 74:536-544. [PMID: 36803083 DOI: 10.1177/00033197231158937] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
Coronary computed tomography angiography can evaluate coronary arterial plaque composition with high resolution. We aimed to determine and compare the values of systemic immune-inflammation index (SII) and systemic inflammation-response index (SIRI) in different plaque types. Highest values of SIRI and SII were found in mixed plaque type followed by non-calcified plaque type. SII value of 463.07 predicted one-year major adverse cardiac events (MACE) with a sensitivity of 72.7% and specificity of 64.3% and SIRI value of 1.14 predicted one-year MACE with a sensitivity of 93% and specificity of 62%. Paired analysis of area under the curve (AUC) of the receiver operating characteristic curves showed that SIRI had higher AUC than coronary calcium score and SII. Univariate logistic regression results showed that age, creatinine level, coronary calcium score, SII, and SIRI were the independent predictors of one-year MACE. According to the results of multivariate regression analysis, after adjusting other factors, age, creatinine level, and SIRI were the independent predictors of one-year MACE. SIRI seemed to improve the risk prediction in coronary artery disease. Therefore, special attention may need to be paid to patients who have a high SIRI.
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Affiliation(s)
- Cennet Yildiz
- Cardiology Department, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Yasin Yuksel
- Cardiology Department, 64160Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Ibrahim T Rakici
- Radiology Department, 64160Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Fahrettin Katkat
- Cardiology Department, 64160Istanbul Training and Research Hospital, Istanbul, Turkey
| | - Burak Ayça
- Cardiology Department, 64160Istanbul Training and Research Hospital, Istanbul, Turkey
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Association of Systemic Immune Inflammation Index with Estimated Pulse Wave Velocity, Atherogenic Index of Plasma, Triglyceride-Glucose Index, and Cardiovascular Disease: A Large Cross-Sectional Study. Mediators Inflamm 2023; 2023:1966680. [PMID: 36846196 PMCID: PMC9946741 DOI: 10.1155/2023/1966680] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/13/2023] [Accepted: 02/04/2023] [Indexed: 02/17/2023] Open
Abstract
In the U.S. general population, there is a lack of understanding regarding the association between the systemic immune inflammation (SII) index and estimated pulse wave velocity (ePWV), atherogenic index of plasma (AIP), and triglyceride-glucose (TyG) index and cardiovascular disease (CVD). As a result, the objective of our research was to investigate the association between the SII index and ePWV, AIP, and TyG index and incident CVD. We used the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018 to conduct this study. The correlation between the SII index and ePWV, AIP, and TyG index was examined using generalized additive models with smooth functions. In addition, the association between SII index and triglyceride (TC), high-density lipoprotein cholesterol (HDL-C), and fast glucose (FBG) also were explored. Finally, we further performed multivariable logistic regression analysis, restricted cubic spline (RCS) plots, and subgroup analysis to study the connection between the SII index and CVD. Our analysis included 17389 subjects from the NHANES database. A substantial positive association existed between SII, WV, and the TyG index. In addition, with the increase of the SII index, AIP showed a trend of decreasing first, then rising, and then decreasing. The SII index was inversely and linearly associated with triglyceride (TG), while positively and linearly associated with fast glucose (FBG). However, high-density lipoprotein cholesterol (HDL-C) had a tendency of first declining, then climbing, and finally falling with the rise in the SII index. After adjusting for potential confounders, compared with the lowest quartiles, the odds ratios with 95% confidence intervals for CVD across the quartiles were 0.914 (0.777, 1.074), 0.935 (0.779, 1.096), and 1.112 (0.956, 1.293) for SII index. The RCS plot showed an inverse U-shaped curve relationship between the SII index and CVD. Overall, this study found a strong correlation between a higher SII index and ePWV and the TyG index. Additionally, these cross-sectional data also revealed a U-shaped connection between the SII index and CVD.
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Xia Y, Xia C, Wu L, Li Z, Li H, Zhang J. Systemic Immune Inflammation Index (SII), System Inflammation Response Index (SIRI) and Risk of All-Cause Mortality and Cardiovascular Mortality: A 20-Year Follow-Up Cohort Study of 42,875 US Adults. J Clin Med 2023; 12:jcm12031128. [PMID: 36769776 PMCID: PMC9918056 DOI: 10.3390/jcm12031128] [Citation(s) in RCA: 72] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/21/2023] [Accepted: 01/28/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND AND AIM Chronic low-grade inflammation is associated with various health outcomes, including cardiovascular diseases (CVDs) and cancers. Systemic immune inflammation index (SII) and system inflammation response index (SIRI) have lately been explored as novel prognostic markers for all-cause mortality and cardiovascular mortality. However, studies on prediction value in nationwide representative population are scarce, which limit their generalization. To bridge the knowledge gap, this study aims to prospectively assess the association of SII, SIRI with all-cause mortality and cardiovascular mortality in the National Health and Nutrition Examination Survey (NHANES). METHODS From 1999 to 2018, 42,875 adults who were free of pregnancy, CVDs (stroke, acute coronary syndrome), cancers, and had follow-up records and participated in the NHANES were included in this study. SII and SIRI were quantified by calculating the composite inflammation indicators from the blood routine. To explore the characteristics of the population in different SII or SIRI levels, we divided them according to the quartile of SII or SIRI. The associations between SII, SIRI, and all-cause mortality and cardiovascular mortality events were examined using a Cox regression model. To investigate whether there was a reliable relationship between these two indices and mortalities, we performed subgroup analysis based on sex and age. RESULTS A total of 42,875 eligible individuals were enrolled, with a mean age of 44 ± 18 years old. During the follow-up period of up to 20 years, 4250 deaths occurred, including 998 deaths from CVDs. Cox proportional hazards modeling showed that adults with SII levels of >655.56 had higher all-cause mortality (hazard ratio [HR], 1.29; 95% confidence interval [CI], 1.18-1.41) and cardiovascular mortality (HR, 1.33; 95% CI, 1.11-1.59) than those with SII levels of <335.36. Adults with SIRI levels of >1.43 had higher risk of all-cause (HR, 1.39; 95% CI, 1.26-1.52) and cardiovascular death (HR, 1.39; 95% CI, 1.14-1.68) than those with SIRI levels of <0.68. In general population older than 60 years, the elevation of SII or SIRI was associated with the risk of all-cause death. CONCLUSION Two novel inflammatory composite indices, SII and SIRI, were closely associated with cardiovascular death and all-cause death, and more attention should be paid to systemic inflammation to provide better preventive strategies.
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Affiliation(s)
- Yiyuan Xia
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Chunlei Xia
- Department of Intensive Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 211166, China
| | - Lida Wu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Zheng Li
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Hui Li
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Junxia Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
- Correspondence: ; Tel.: +86-153-6615-5682
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Liu H, Chen X, Wang Z, Liu Y, Liu M. High systemic inflammation response index level is associated with an increased risk of lower extremity deep venous thrombosis: a large retrospective study. Ann Med 2023; 55:2249018. [PMID: 37604134 PMCID: PMC10443988 DOI: 10.1080/07853890.2023.2249018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/03/2023] [Accepted: 08/10/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND The association between inflammation and venous thromboembolism (VTE) has attracted increasing research interest. Recently, the systemic inflammation response index (SIRI) has been proposed as a novel inflammatory biomarker, but its potential association with lower extremity deep venous thrombosis (LEDVT) has not been investigated. Thus, this study aimed to explore the association between SIRI and LEDVT risk in a large sample over a 10-year period (2012-2022). METHODS All hospitalized patients who underwent lower extremity compression ultrasonography (CUS) examinations were consecutively identified from our hospital information system database. Multivariate logistic regression analysis was used to investigate the association between SIRI and LEDVT risk. Sensitivity, restricted cubic spline and subgroup analyses were also performed. RESULTS In total, 12643 patients were included, and 1346 (10.6%) LEDVT events occurred. After full adjustment, a higher SIRI level was significantly associated with an increased risk of LEDVT (odds ratio [OR] = 1.098, 95% confidence interval [CI]: 1.068-1.128, p < 0.001), and patients in quartile 4 had a 2.563-fold higher risk of LEDVT than those in quartile 1 (95% CI: 2.064-3.182, p < 0.001). A nonlinear relationship was observed (P for nonlinearity < 0.001), with an inflection point of 4.17. Below this point, each unit increase in SIRI corresponded to a 35.3% increase in LEDVT risk (95% CI: 1.255-1.458, p < 0.001). No significant difference was found above the inflection point (OR = 1.015, 95% CI: 0.963-1.069, p = 0.582). Sensitivity and subgroup analyses confirmed the robustness of the association. This association also existed in both distal and proximal LEDVT. CONCLUSION A High SIRI is significantly associated with an increased risk of LEDVT in hospitalized patients. Given that the SIRI is a readily available biomarker in clinical settings, its potential clinical use deserves further exploration.
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Affiliation(s)
- Hailong Liu
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Xi Chen
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Zhicong Wang
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
- Department of Orthopedics, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yuehong Liu
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Mozhen Liu
- Department of Orthopedics, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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