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Musiał K. Systemic immune inflammation index (SII) assessment as a potential tool against childhood hypertension. Pediatr Res 2024:10.1038/s41390-024-03633-2. [PMID: 39394423 DOI: 10.1038/s41390-024-03633-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Accepted: 09/23/2024] [Indexed: 10/13/2024]
Affiliation(s)
- Kinga Musiał
- Department of Pediatric Nephrology, Wrocław Medical University, Wrocław, Poland.
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Oruz O, Dervişoğulları MS, Öktem ME, İncekaş C. Predictive role of systemic immune-inflammation index and neutrophil/lymphocyte ratio values in infants with retinopathy of prematurity. Graefes Arch Clin Exp Ophthalmol 2024; 262:3125-3134. [PMID: 38656423 PMCID: PMC11458681 DOI: 10.1007/s00417-024-06493-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/12/2024] [Accepted: 04/18/2024] [Indexed: 04/26/2024] Open
Abstract
PURPOSE To search the relationship between serum neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and systemic immune-inflammation index (SII) values with the development of retinopathy of prematurity (ROP) and the requirement for laser treatment. METHODS This retrospective cohort study was carried out with 195 preterm infants between 2012 and 2023. The NLR, PLR, LMR, and SII values were calculated on both the first day and at the end of the first month after birth. The association between development of ROP and other risk factors were analyzed using univariate analysis and multivariate logistic regression analysis. RESULTS Of patients, 92 infants were diagnosed with ROP. Laser treatment was administered to 36 infants. The postnatal first-day NLR and SII values were higher in infants with ROP than in infants without ROP (p < 0.001 for both). Postnatal first-month NLR, LMR, and SII values were higher in infants with ROP (p < 0.001, p = 0.007, and p < 0.001, respectively). In multivariate analyses, postnatal first-day NLR and first-month LMR values were regarded as independent risk factors for the development of ROP (OR:8.867 and 1.286, p = 0.002 and p = 0.009, respectively). In multivariate analyses performed for laser treatment requirement, postnatal first-month PLR and SII values were determined as independent risk factors (OR:0.951 and 1.011, respectively, p = 0.004 for both). CONCLUSIONS Postnatal first-day NLR and first-month LMR values were determined as independent risk factors for the development of ROP. For the requirement of laser treatment, the postnatal first-month PLR and SII values were determined as independent risk factors.
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Affiliation(s)
- Oğuzhan Oruz
- Department of Ophthalmology, Başkent University School of Medicine, Adana, Turkey.
| | | | | | - Caner İncekaş
- Department of Biostatistics, Baskent University Faculty of Medicine, Ankara, Turkey
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D'Orsi G, Palladini M, Mazza MG, Rovere-Querini P, Scalabrini A, Benedetti F. A novel analysis of interoceptive underpinnings of anxious psychopathology in COVID-19 survivors. Behav Brain Res 2024; 476:115275. [PMID: 39332641 DOI: 10.1016/j.bbr.2024.115275] [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: 06/14/2024] [Revised: 08/16/2024] [Accepted: 09/24/2024] [Indexed: 09/29/2024]
Abstract
INTRODUCTION SARS-CoV-2 affects brain, body, and their interchange. We investigated interoceptive mechanisms in COVID-19 survivors focusing on their potential link with psychopathology and inflammatory biomarkers. METHODS We assessed interoceptive accuracy (IAc) and time-perceiving (TA) skills of 57 COVID-19 survivors one month after hospital discharge through, respectively, a heartbeats perception task and a time duration task. Each participant was assessed about his interoceptive awareness (IAw) through Multidimensional Assessment of Interoceptive Awareness questionnaire (MAIA) and then, screened for post-traumatic (Impact of Events Scale - IES-R), anxious (State-Trait Anxiety Inventory - STAI-Y1) and depressive (Zung Self-Rating Depression Scale - ZSDS; Beck Depression Inventory - BDI-13) symptoms. Biomarkers of inflammation (platelet count, PC; mean platelet volume, MPV and systemic immune-inflammation index, SII) were obtained in a subsample of 40 survivors by a blood sampling conducted at admission and discharge time from the hospital. Correlational, GLM, GLMZ, and mediation analyses were performed. RESULTS IAc did not correlate with TA confirming the reliability of interoceptive measure. IAc positively predicts MAIA's Trusting subscale and negatively predicts anxious psychopathology which fully mediates the effect of IAc on Trusting.PC at hospital admission predicts anxiety at one month after recovery. Again, a higher decrease of SII during hospitalization predicts higher IAc skill and lower anxiety state at one month. The link between SII change and anxiety is fully mediated by IAc. CONCLUSIONS Our results unveil a potential key role of interoception and brain-body interchange in the exacerbation and maintenance of anxiety psychopathology in COVID-19 survivors.
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Affiliation(s)
- Greta D'Orsi
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italyb University Vita-Salute San Raffaele, Milano, Italy.
| | - Mariagrazia Palladini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italyb University Vita-Salute San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy.
| | - Mario Gennaro Mazza
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italyb University Vita-Salute San Raffaele, Milano, Italy.
| | - Patrizia Rovere-Querini
- University Vita-Salute San Raffaele, Milano, Italy; Unit of Innate Immunity and Tissue Remodeling, Division of Immunology, Transplantation, and Infectious Diseases, IRCCS San Raffaele Hospital, Milano, Italy.
| | - Andrea Scalabrini
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italyb University Vita-Salute San Raffaele, Milano, Italy; Department of Human and Social Sciences University of Bergamo, Bergamo, Italy.
| | - Francesco Benedetti
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Hospital, Milano, Italyb University Vita-Salute San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy.
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Coste SC, Orășan OH, Cozma A, Negrean V, Sitar-Tăut AV, Filip GA, Hangan AC, Lucaciu RL, Iancu M, Procopciuc LM. Metabolic Dysfunction-Associated Steatotic Liver Disease: The Associations between Inflammatory Markers, TLR4, and Cytokines IL-17A/F, and Their Connections to the Degree of Steatosis and the Risk of Fibrosis. Biomedicines 2024; 12:2144. [PMID: 39335657 PMCID: PMC11430745 DOI: 10.3390/biomedicines12092144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 09/14/2024] [Accepted: 09/19/2024] [Indexed: 09/30/2024] Open
Abstract
Background: The pathogenesis of MASLD (metabolic dysfunction-associated steatotic liver disease) is driven by environmental, genetic, metabolic, immune, and inflammatory factors. IL-17 and TLR4 determine hepatic steatosis, inflammation, and finally fibrosis. Objectives: To explore the associations between the plasma levels of inflammatory markers, TLR4, and the cytokines IL17A/F, as well as their connections with the degree of hepatic steatosis and the risk of hepatic fibrosis (defined by the FIB-4 score) in MASLD patients. Methods: The study cohort included 80 patients diagnosed with MASLD. The IL-17A/F and TLR4 serum concentrations were determined using the ELISA method. Results: We found a significant difference in the CAR levels (C-reactive protein to albumin ratio) when comparing MASLD patients with severe steatosis to those with mild/moderate steatosis (Student's t test, t (71) = 2.32, p = 0.023). The PIV (pan-immune inflammatory value) was positively correlated with the SII (systemic immune inflammation index), (r = 0.86, p < 0.0001) and the CAR (r = 0.41, p = 0.033) in MASLD patients with severe steatosis. In contrast, increased values of the LMR (lymphocyte to monocyte ratio) were significantly associated, with decreased levels of the SII (ρ = -0.38, p = 0.045). We also found a positive correlation between the CAR and the SII (r = 0.41, p = 0.028). In patients with mild/moderate steatosis, a significant positive correlation was observed between the SII and IL17A (r = 0.36, p = 0.010), the PIV and the CAR (r = 0.29, p = 0.011), the PIV and the SII (r = 0.87, p < 0.0001) and the PIV and IL17A (r = 0.3, p = 0.036). A negative correlation was observed between the LMR and the SII (r = -0.55, p < 0.0001) and the CAR and IL17F (r = -0.37, p = 0.011). Regarding the inflammatory markers, the PIV (336.4 vs. 228.63, p = 0.0107), and the SII (438.47 vs. 585.39, p = 0.0238) had significantly lower levels in patients with an intermediate-high risk of hepatic fibrosis as compared with the patients with a low risk of hepatic fibrosis. The PNI (prognostic nutritional index) (47.16 vs. 42.41, p = 0.0392) had significantly different levels in patients with the likelihood of hepatic fibrosis than those with a low risk of hepatic fibrosis. Conclusions: Regarding the inflammatory markers, the PIV and the SII hold promise as biomarkers for discriminating between MASLD patients with an intermediate-high risk and those with a low risk of hepatic fibrosis. Our findings underscore the role of IL-17A and its potential relationship with inflammatory markers in MASLD pathogenesis and the progression to hepatic fibrosis.
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Affiliation(s)
- Sorina-Cezara Coste
- 4th Department of Internal Medicine, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Olga Hilda Orășan
- 4th Department of Internal Medicine, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Angela Cozma
- 4th Department of Internal Medicine, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Vasile Negrean
- 4th Department of Internal Medicine, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Adela-Viviana Sitar-Tăut
- 4th Department of Internal Medicine, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Gabriela Adriana Filip
- Department of Anatomy and Embryology, Faculty of Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
| | - Adriana Corina Hangan
- Department of Inorganic Chemistry, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Roxana Liana Lucaciu
- Department of Pharmaceutical Biochemistry and Clinical Laboratory, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Mihaela Iancu
- 11th Department of Medical Education, Medical Informatics and Biostatistics, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Lucia Maria Procopciuc
- Department of Molecular Sciences, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
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Xue H, Zeng Y, Zou X, Li Y. Systemic immune inflammation index and risk of stroke: a cross-sectional study of the National Health and Nutrition Examination Survey 2005-2018. Front Neurol 2024; 15:1431727. [PMID: 39329013 PMCID: PMC11424513 DOI: 10.3389/fneur.2024.1431727] [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: 05/12/2024] [Accepted: 09/02/2024] [Indexed: 09/28/2024] Open
Abstract
Background The incidence of stroke has increased globally, resulting in medical expenditures and social burdens over the past few decades. We aimed to explore the relationship between systemic immune inflammatory index (SII) and stroke using the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Methods Based on NHANES data, 902 stroke patients and 27,364 non-stroke patients were included in this study. SII was the independent variable and stroke was the dependent variable. Univariate and multivariate logistic regression analyses were used to explore the association between SII and stroke. Restricted cubic spline (RCS) method was used to test the nonlinear association between SII and stroke. Results Weighted logistic regression analysis showed a significant association between SII and stroke (OR: 1.985, 95% CI: 1.245-3.166, p = 0.004). The interaction test showed that the association between SII and stroke was not significant between strata (p > 0.05). A significant positive association between SII and stroke risk (OR >1, p < 0.05) was observed in the crude model, model I and model II. RCS analysis showed no nonlinear positive association between SII and stroke risk after adjusting for all confounders. Conclusion Our study determined that SII is associated with stroke risk. Given the inherent limitations of cross-sectional studies, further research is necessary to validate the causality of this association and to demystify the underlying mechanisms between inflammation and stroke.
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Affiliation(s)
- Hua Xue
- Department of Neurology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yuqi Zeng
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Xinyang Zou
- Department of Neurology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yongkun Li
- Department of Neurology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
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Fullerton R, Martell K, Khanolkar R, Phan T, Banerjee R, Meyer T, Traptow L, Köbel M, Ghatage P, Doll CM. Impact of immune, inflammatory and nutritional indices on outcome in patients with locally advanced cervical cancer treated with definitive (chemo)radiotherapy. Gynecol Oncol 2024; 190:291-297. [PMID: 39270508 DOI: 10.1016/j.ygyno.2024.09.005] [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: 06/10/2024] [Revised: 08/30/2024] [Accepted: 09/04/2024] [Indexed: 09/15/2024]
Abstract
OBJECTIVE Systemic immune, inflammatory, and nutritional indices are prognostic across multiple tumor sites. Comprehensive analysis of these markers in patients with locally advanced cervical cancer (LACC) treated with definitive (chemo)radiotherapy [(C)RT] is limited and may assist with future prognostication. METHODS For this retrospective cohort study, patients with LACC treated with definitive (C)RT were identified from a comprehensive cancer center's clinicopathological database. Pre-treatment indices were derived including systemic immune-inflammation index (SII), platelet lymphocyte ratio (PLR), neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio (MLR), albumin to alkaline phosphatase ratio (AAPR) and prognostic nutritional index (PNI). Univariate analysis was performed for PFS and OS. ROC curves were analyzed to determine optimal cut points. PFS and OS were assessed by the Kaplan-Meier method and Log-Rank test. Multivariate analysis was performed using Cox regression. RESULTS 196 patients were identified: median follow-up 7 years (IQR 2-11). Higher SII (≤700 vs >700; p = 0.01), higher PLR (≤ 250 vs >250; p < 0.001) and higher NLR (≤ 5 vs >5; p = 0.003) were associated with worse PFS. Higher SII (≤700 vs >700: p = 0.02), higher PLR (≤ 250 vs >250: p < 0.001) and higher NLR (≤ 5 vs >5; p = 0.01) were associated with worse OS. On multivariate analysis, SII, NLR and PLR were independently associated with PFS. SII and PLR were independently associated with OS. CONCLUSIONS SII and PLR were independently associated with PFS and OS in patients with LACC treated with definitive (C)RT. NLR was independently associated with PFS. High inflammatory state is associated with shorter survival suggesting this as a target for interventions if validated in future studies.
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Affiliation(s)
- Ruth Fullerton
- Department of Oncology, University of Calgary, Calgary, AB, Canada.
| | - Kevin Martell
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Rutvij Khanolkar
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Tien Phan
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Robyn Banerjee
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Tyler Meyer
- Department of Oncology, University of Calgary, Calgary, AB, Canada; Department of Medical Physics, University of Calgary, Calgary, AB, Canada
| | - Laurel Traptow
- Department of Radiation Therapy, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Martin Köbel
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | - Prafull Ghatage
- Department of Oncology, University of Calgary, Calgary, AB, Canada; Department of Obstetrics and Gynecology, University of Calgary, Calgary, AB, Canada
| | - Corinne M Doll
- Department of Oncology, University of Calgary, Calgary, AB, Canada
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Li Z, Kang S, Kang H. Development and validation of nomograms for predicting cardiovascular disease risk in patients with prediabetes and diabetes. Sci Rep 2024; 14:20909. [PMID: 39245747 PMCID: PMC11381537 DOI: 10.1038/s41598-024-71904-3] [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: 06/21/2024] [Accepted: 09/02/2024] [Indexed: 09/10/2024] Open
Abstract
This study aimed to develop and validate distinct nomogram models for assessing CVD risk in individuals with prediabetes and diabetes. In a cross-sectional study design, we examined data from 2294 prediabetes and 1037 diabetics who participated in the National Health and Nutrition Examination Survey, which was conducted in the United States of America between 2007 and 2018. The dataset was randomly divided into training and validation cohorts at a ratio of 0.75-0.25. The Boruta feature selection method was used in the training cohort to identify optimal predictors for CVD diagnosis. A web-based dynamic nomogram was developed using the selected features, which were validated in the validation cohort. The Hosmer-Lemeshow test was performed to assess the nomogram's stability and performance. Receiver operating characteristics and calibration curves were used to assess the effectiveness of the nomogram. The clinical applicability of the nomogram was evaluated using decision curve analysis and clinical impact curves. In the prediabetes cohort, the CVD risk prediction nomogram included nine risk factors: age, smoking status, platelet/lymphocyte ratio, platelet count, white blood cell count, red cell distribution width, lactate dehydrogenase level, sleep disorder, and hypertension. In the diabetes cohort, the CVD risk prediction nomogram included eleven risk factors: age, material status, smoking status, systemic inflammatory response index, neutrophil-to-lymphocyte ratio, red cell distribution width, lactate dehydrogenase, high-density lipoprotein cholesterol, sleep disorder, hypertension, and physical activity. The nomogram models developed in this study have good predictive and discriminant utility for predicting CVD risk in patients with prediabetes and diabetes.
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Affiliation(s)
- Zhao Li
- College of Sport Science, Sungkyunkwan University, 2066 Seoburo, 16419, Jangan-gu, Suwon, Republic of Korea
| | - Seamon Kang
- College of Sport Science, Sungkyunkwan University, 2066 Seoburo, 16419, Jangan-gu, Suwon, Republic of Korea
| | - Hyunsik Kang
- College of Sport Science, Sungkyunkwan University, 2066 Seoburo, 16419, Jangan-gu, Suwon, Republic of Korea.
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Agard TA, Hass R, Cavrak ME, Foual NS, Byrum C, Adcock AK, Gehan D, Petrone AB. Neutrophil lymphocyte ratio (NLR) and systemic immune inflammatory index (SII) for the differential diagnosis of CT-negative mild acute ischemic stroke and transient ischemic attack. Int J Neurosci 2024; 134:943-950. [PMID: 36683582 DOI: 10.1080/00207454.2023.2171877] [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: 11/17/2022] [Revised: 01/04/2023] [Accepted: 01/15/2023] [Indexed: 01/24/2023]
Abstract
Background: A number of acute ischemic stroke (AIS) cases may be misdiagnosed as transient ischemic attack (TIA), due to no infarct on initial computed tomography scan and/or mild deficits upon presentation. Several studies have found that the neutrophil-lymphocyte ratio (NLR) is an accurate differential diagnostic biomarker for AIS versus TIA; however, no study has evaluated the use of the NLR in differentiating CT negative AIS from TIA. Furthermore, the systemic immune-inflammation index (SII) is a relatively novel immune biomarker that has been shown to be positively correlated with AIS severity, poor functional outcomes and mortality. The purpose of this study is to determine if NLR or SII can be used as a diagnostic biomarker for the differential diagnosis of mild AIS with a negative CT upon admission and TIA. Methods: We performed a retrospective medical record review of patients diagnosed with either AIS or TIA. We collected peripheral white blood cell counts within 24 h of symptom onset and calculated the NLR and SII. Logistic regression was utilized to determine if NLR or SII are significant predictors of CT negative mild AIS. Results: CT negative mild AIS patients were 2 times as likely to have an NLR ≥ 2.71 compared to TIA patients, and CT negative mild AIS patients were 2.1 times as likely to have an SII ≥ 595 compared to TIA patients. Conclusion: NLR and SII are easily obtained biomarkers that can be used in early clinical decision making in cases of mild AIS with negative CT scan upon admission.
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Affiliation(s)
- Tyler A Agard
- Department of Pathology, Anatomy and Laboratory Medicine, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Rotem Hass
- West Virginia University School of Medicine, Morgantown, WV, USA
| | - Megan E Cavrak
- West Virginia University School of Medicine, Morgantown, WV, USA
| | - Nour S Foual
- West Virginia University School of Medicine, Morgantown, WV, USA
| | - Casey Byrum
- West Virginia University School of Medicine, Morgantown, WV, USA
| | - Amelia K Adcock
- Department of Neurology, West Virginia University School of Medicine, Morgantown, WV, USA
| | - Donald Gehan
- West Virginia University School of Medicine, Morgantown, WV, USA
| | - Ashley B Petrone
- Department of Pathology, Anatomy and Laboratory Medicine, West Virginia University School of Medicine, Morgantown, WV, USA
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Meng X, Sun H, Tu X, Li W. The Predictive Role of Hematological Parameters in Hypertension. Angiology 2024; 75:705-716. [PMID: 37459606 DOI: 10.1177/00033197231190423] [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: 07/26/2023]
Abstract
Hypertension (HT) is a common chronic disease that often causes target-organ damage and severe complications, contributing to cardiovascular morbidity and mortality worldwide. Accumulating evidence suggests that inflammation plays a prominent role in the initiation and progression of HT. Multiple inflammatory biomarkers have been proposed to predict HT. Several new hematological parameters can reflect the inflammatory response and platelet activation. The major advantage of hematological parameters over conventional inflammatory markers is that they are relatively inexpensive and easily obtained from routine blood tests. Numerous studies have investigated several hematological parameters for their utility as predictive biomarkers for the diagnosis and prognosis of HT. Among them, the neutrophil to lymphocyte ratio (NLR), monocyte to high density lipoprotein cholesterol ratio (MHR), red cell distribution width (RDW), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV), platelet distribution width (PDW), and systemic immune-inflammation index (SII) have recently received attention. We searched PubMed and Embase databases (up to September 18, 2022) to assess the relationships between hematological parameters and HT. This review discusses the diagnostic and prognostic value of these hematological parameters in HT, providing an important basis for early screening, risk stratification, and optimal management of hypertensive patients.
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Affiliation(s)
- Xiangzhu Meng
- Department of Cardiology, Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, Jiangxi, China
| | - Hong Sun
- Department of Intensive Care Unit, Ganzhou People's Hospital, Ganzhou, Jiangxi, China
| | - Xiaowen Tu
- Department of Cardiology, Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, Jiangxi, China
| | - Wei Li
- Department of Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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Bai G, Li Y, Gao Y, Yu B, Guo Z, Chen X, Liu T, Li G. Prognosis impact of multiple novel lymphocyte-based inflammatory indices in patients with initially diagnosed coronary artery disease. Immun Inflamm Dis 2024; 12:e1340. [PMID: 39329244 PMCID: PMC11427945 DOI: 10.1002/iid3.1340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 06/06/2024] [Accepted: 06/29/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND This study aimed to evaluate six novel lymphocyte-based inflammatory markers (neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, platelet-lymphocyte ratio [PLR], systemic immune inflammation index [SII], systemic inflammatory response index, and systemic immune inflammation response index [SIIRI]) in patients with newly diagnosed coronary artery disease [CAD]. METHODS A total of 959 patients newly diagnosed with CAD and underwent diagnostic coronary angiography were enrolled in this study and followed for major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. The best cutoff value was used to compare the six indicators. Cox risk regression analysis evaluated the relationship between novel lymphocyte-based inflammatory markers and MACEs in newly diagnosed CAD patients. RESULTS During a mean follow-up period of 33.3 ± 9.9 months, 229 (23.9%) MACEs were identified. Multivariate Cox regression analysis showed that only SIIRI (hazard ratio [HR]: 5.853; 95% confidence interval [CI]: 4.092-8.371; p < .001) and PLR (HR: 1.725; 95% CI: 1.214-2.452; p = .002) were independent predictors of MACEs. Nevertheless, following the adjustment for covariates, only the SIIRI was found to be a significant predictor MACEs and its corresponding specific endpoint occurrences. The predictive ability of the model was improved when six different inflammatory markers were added to the basic model established by traditional risk factors, namely, the C-index increased, and the SIIRI increased most significantly (AUC: 0.778; 95% CI: 0.743-0.812; p < .001). However, among the six novel inflammatory markers, only SIIRI had improved net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI: 0.187; 95% CI: 0.115-0.259, p < .001. IDI: 0.135; 95% CI: 0.111-0.159, p < .001), which was superior to the basic model established by traditional risk factors. CONCLUSIONS SIIRI is independent predictor of MACEs in newly diagnosed CAD patients. SIIRI was superior to other measures in predicting MACEs. The combination of SIIRI and traditional risk factors can more accurately predict MACEs.
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Affiliation(s)
- Geng Bai
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Yuqing Li
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Yi Gao
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Bo Yu
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Ziqiang Guo
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Xiaolin Chen
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Tong Liu
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
| | - Guangping Li
- Tianjin Key Laboratory of Ionic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of CardiologyThe Second Hospital of Tianjin Medical UniversityTianjinChina
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Siddiqui F, Tafur A, Hussain M, García-Ortega A, Darki A, Fareed J, Jiménez D, Bikdeli B, Galeano-Valle F, Fernández-Reyes JL, Pérez-Pinar M, Monreal M. The prognostic value of blood cellular indices in pulmonary embolism. Am J Hematol 2024; 99:1704-1711. [PMID: 38816957 DOI: 10.1002/ajh.27379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/08/2024] [Accepted: 05/16/2024] [Indexed: 06/01/2024]
Abstract
Prognostication in acute pulmonary embolism (PE) requires reliable markers. While cellular indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) appear promising, their utility in PE prognostication needs further exploration. We utilized data from the RIETE registry and the Loyola University Medical Center (LUMC) to assess the prognostic value of NLR, PLR, and SII in acute PE, using logistic regression models. The primary outcome was 30-day all-cause mortality. We compared their prognostic value versus the simplified Pulmonary Embolism Severity Index (sPESI) alone. We included 10 085 patients from RIETE and 700 from the LUMC. Thirty-day mortality rates were 4.6% and 8.3%, respectively. On multivariable analysis, an elevated NLR (>7.0) was associated with increased mortality (adjusted odds ratio [aOR]: 3.46; 95% CI: 2.60-4.60), outperforming the PLR > 220 (aOR: 2.36; 95% CI: 1.77-3.13), and SII > 1600 (aOR: 2.52; 95% CI: 1.90-3.33). The c-statistic for NLR in patients with low-risk PE was 0.78 (95% CI: 0.69-0.86). Respective numbers were 0.66 (95% CI: 0.63-0.69) and 0.68 (95% CI: 0.59-0.76) for intermediate-risk and high-risk patients. These findings were mirrored in the LUMC cohort. Among 9810 normotensive patients in RIETE, those scoring 0 points in sPESI and with an NLR ≤ 7.0 (35% of the population) displayed superior sensitivity (97.1%; 95% CI: 95.5-98.7) and negative predictive value (99.7%; 95% CI: 99.5-99.8) than sPESI alone (87.1%; 95% CI: 83.9-90.3, and 98.7%; 95% CI: 98.4-99.1, respectively) for 30-day mortality. The NLR is a significant prognostic marker for 30-day mortality in PE patients, especially useful to identify patients with very low-risk PE.
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Affiliation(s)
- Fakiha Siddiqui
- Department of Pathology and Laboratory Medicine, Health Sciences Division, Cardiovascular Research Institute, Loyola University Chicago, Maywood, Illinois, USA
- Program in Health Sciences, UCAM - Universidad Católica San Antonio de Murcia, Murcia, Spain
| | - Alfonso Tafur
- Department of Medicine and Vascular Medicine, Evanston NorthShore University HealthSystem, Evanston, Illinois, USA
- Pritzker School of Medicine, University of Chicago, Chicago, Illinois, USA
| | - Mushtaq Hussain
- Dow College of Biotechnology, Dow University of Health Sciences, Karachi, Pakistan
| | | | - Amir Darki
- Department of Cardiology, Loyola University Medical Center, Maywood, Illinois, USA
| | - Jawed Fareed
- Department of Pathology and Laboratory Medicine, Health Sciences Division, Cardiovascular Research Institute, Loyola University Chicago, Maywood, Illinois, USA
| | - David Jiménez
- Respiratory Department, Hospital Ramón y Cajal and Universidad de Alcalá (IRYCIS), CIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Behnood Bikdeli
- Cardiovascular Medicine Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- YNHH/Yale Center for Outcomes Research and Evaluation (CORE), New Haven, Connecticut, USA
- Cardiovascular Research Foundation (CRF), New York, New York, USA
| | - Francisco Galeano-Valle
- Internal Medicine Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | | | | | - Manuel Monreal
- Faculty of Health Sciences, UCAM - Universidad Católica San Antonio de Murcia, Murcia, Spain
- CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
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12
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Kürüm H, Key S, Tosun HB, Yılmaz E, Kürüm KO, İpekten F, Akcan A. Relationship between the clinical outcomes and the systemic inflammatory response index and systemic immune inflammation index after total knee arthroplasty. Musculoskelet Surg 2024; 108:323-332. [PMID: 38898343 DOI: 10.1007/s12306-024-00825-1] [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: 03/15/2024] [Accepted: 05/07/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Periprosthetic joint infection (PJI) is an extremely damaging complication that can occur after total knee arthroplasty (TKA). There is no study in the literature investigating the relationship between systemic inflammatory response index (SIRI) and systemic inflammation immune index (SII) values and prognosis and infection in patients who have undergone TKA. The aim of the study was to determine the relationship between the inflammatory index values and the rate of PJI in patients who had previously had TKA. METHODS A total of 187 patients who underwent TKA between 2015 and 2023 years were retrospectively analyzed. RESULTS The median value of the postoperative SII index was 1862.3 (1146.6-2630.4) in the infected group, while it was 1058.2 (605.0-1762.8) in the non-infected group (p < 0.001). In the infected group, the median value of preoperative SIRI was observed as 2.3 (1.7-3.5), while in the non-infected group it was 0.9 (0.7-1.5) (p < 0.001). The cutoff value for postoperative SIRI was observed to be 2.19, with a sensitivity value of 95%, a specificity value of 46%, the AUC value observed was 65%. The cutoff value for the postoperative SII index was observed to be 1058.96, with a sensitivity value of 100%, a specificity value of 50%. CONCLUSIONS Our study has associated the inflammatory markers SIRI, SII, neutrophil lymphocyte ratio, and platelet lymphocyte ratio with PJI, which are easy and inexpensive to obtain. There is no widely recognized serum biomarker that can be used alone with good sensitivity and specificity. This study contributes to finding the gold standard inflammatory marker for diagnosing PJI.
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Affiliation(s)
- H Kürüm
- Department of Orthopaedics and Traumatology, Ergani State Hospital, Diyarbakır, Turkey.
| | - S Key
- Department of Orthopedics and Traumatology, Firat University Hospital, Firat University Elazığ, Elazığ, Turkey
| | - H B Tosun
- Department of Orthopaedics and Traumatology, Elazığ Fethi Sekin Training and Research Hospital, Elazığ, Turkey
| | - E Yılmaz
- Department of Orthopedics and Traumatology, Firat University Hospital, Firat University Elazığ, Elazığ, Turkey
| | - K O Kürüm
- Department of Physiotherapy and Rehabilitation, İnönü University, Malatya, Turkey
| | - F İpekten
- Department of Biostatistics, Faculty of Medicine, Adiyaman University, Adiyaman, Turkey
| | - A Akcan
- Department of Orthopaedics and Traumatology, Ergani State Hospital, Diyarbakır, Turkey
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13
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Sheng J, Yang S, Gu N, Deng C, Shen Y, Xia Q, Zhao Y, Wang X, Deng Y, Zhao R, Shi B. Systemic immune inflammation index is associated with in-stent neoatherosclerosis and plaque vulnerability: An optical coherence tomography study. Heliyon 2024; 10:e36486. [PMID: 39253253 PMCID: PMC11382084 DOI: 10.1016/j.heliyon.2024.e36486] [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: 06/06/2024] [Revised: 08/04/2024] [Accepted: 08/16/2024] [Indexed: 09/11/2024] Open
Abstract
Background In-stent neoatherosclerosis (ISNA) is identified as the primary cause of in-stent restenosis (ISR). The systemic immune inflammation index (SII), shows promise for predicting post-percutaneous coronary intervention (PCI) adverse cardiovascular events and is associated with coronary stenosis severity; however, its specific relationship with ISNA remains unclear. This study aimed to investigate the association between the SII and ISNA after drug-eluting stent (DES) implantation. Methods This cross-sectional study included 195 participants with 195 ISR lesions who underwent optical coherence tomography (OCT)-guided PCI between August 2018 and October 2022. Participants were categorized based on the SII levels into Tertile 1 (SII <432.37, n = 65), Tertile 2 (432.37 ≤ SII ≤751.94, n = 65), and Tertile 3 (SII >751.94, n = 65). Baseline Clinical, angiographic, and OCT characteristics were analyzed. The association of the SII with ISNA and thin-fibroatheroma (TCFA) was investigated using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of the SII in detecting ISNA and TCFA. Results Patients in Tertile 3 had a significantly higher incidences of ISNA and TCFA than did those in Tertile 1. Logistic regression analysis revealed the SII is an independent indicator of ISNA and TCFA in ISR lesions (P = 0.045 and P = 0.002, respectively). The areas under the ROC curves for ISNA and TCFA were 0.611 and 0.671, respectively. Conclusion The SII is associated with ISNA and TCFA and may serve as an independent indicator in patients with ISR.
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Affiliation(s)
- Jin Sheng
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Shuangya Yang
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Ning Gu
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Chancui Deng
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Youcheng Shen
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Qianhang Xia
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yongchao Zhao
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Xi Wang
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yi Deng
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Ranzun Zhao
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Bei Shi
- Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
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Wang Y, Li Y, Jiao S, Pan Y, Deng X, Qin Y, Zhao D, Liu Z. Correlation analysis and predictive model construction of metabolic syndrome, complete blood count-derived inflammatory markers, and overall burden of cerebral small vessel disease. Heliyon 2024; 10:e35065. [PMID: 39220940 PMCID: PMC11365336 DOI: 10.1016/j.heliyon.2024.e35065] [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: 11/24/2023] [Revised: 07/20/2024] [Accepted: 07/22/2024] [Indexed: 09/04/2024] Open
Abstract
Background The high burden of cerebral small vessel disease (CSVD) on neuroimaging is a significant risk factor for stroke, cognitive dysfunction, and emotional disorders. Currently, there is a lack of studies investigating the correlation between metabolic syndrome (MetS), complete blood count-derived inflammatory markers, and total CSVD burden. This study aims to evaluate the total CSVD imaging load using machine learning (ML) algorithms and to explore further the relationship between MetS, complete blood count-derived inflammatory markers, and CSVD load. Methods We included CSVD patients from Xijing Hospital (2012-2022). Univariate and lasso regression analyses identified variables linked to CSVD neuroimaging burden. Six ML models predicted CSVD burden based on MetS and inflammatory markers. Model performance was evaluated using ROCauc, PRauc, DCA, and calibration curves. The SHAP method validated model interpretability. The best-performing model was selected to develop a web-based calculator using the Shiny package. Results The Logistic regression model outperformed others in predicting CSVD burden. The model incorporated MetS, neutrophil-to-lymphocyte ratio (NLR), homocysteine (Hcy), age, smoking status, cystatin C (CysC), uric acid (UA), and prognostic nutritional index (PNI). Conclusion MetS, NLR, Hcy and CSVD high load were positively correlated, and the Logistic regression model could accurately predict the total CSVD load degree.
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Affiliation(s)
- Yang Wang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
- Department of Neurology, Bethune International Peace Hospital, Shijiazhuang, China
| | - Yang Li
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Shusheng Jiao
- Department of Neurology, Bethune International Peace Hospital, Shijiazhuang, China
| | - Yuanhang Pan
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Xiwei Deng
- Department of Neurology, Bethune International Peace Hospital, Shijiazhuang, China
| | - Yunlong Qin
- Department of Neurology, Bethune International Peace Hospital, Shijiazhuang, China
| | - Di Zhao
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhirong Liu
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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15
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Liu Z, Zheng L. Associations between SII, SIRI, and cardiovascular disease in obese individuals: a nationwide cross-sectional analysis. Front Cardiovasc Med 2024; 11:1361088. [PMID: 39238504 PMCID: PMC11374596 DOI: 10.3389/fcvm.2024.1361088] [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: 12/24/2023] [Accepted: 07/30/2024] [Indexed: 09/07/2024] Open
Abstract
Background Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are comprehensive markers of inflammatory status. However, the correlation between SII and SIRI and the prevalence of cardiovascular disease (CVD) in populations with obesity remains unknown. Methods This is a cross-sectional study with data obtained from the National Health and Nutrition Examination Survey from 1999 to 2018. SII and SIRI were calculated using the following equations: SII = (platelet count × neutrophil count)/lymphocyte count. SIRI = (neutrophil count × monocyte count)/lymphocyte count. Spearman's rank correlation coefficient was used to assess the relationship between SII and SIRI and baseline variables. Logistic regression models and generalized additive model (GAM) with a spline smoothing function were used to evaluate the association between SIRI and CVD prevalence. Nomogram and receiver operating characteristic curve (ROC) analysis were used to assess the value of the risk prediction model. Results A total of 17,261 participants with obesity and SII and SIRI publicly available data were used for this study. Multivariate logistic regression analysis revealed that SIRI, rather than SII, was an independent risk factor for CVD prevalence. For every standard deviation increase in SIRI, there was a 13%, 15%, and 28% increase in the odds ratios of CVD prevalence (OR = 1.13, 95% CI: 1.04-1.22, P = 0.01), coronary heart disease (OR = 1.15, 95% CI: 1.05-1.26, P = 0.002), and congestive heart failure (OR = 1.28, 95% CI: 1.16-1.41, P < 0.001). ROC results demonstrated that SIRI had a certain accuracy in predicting CVD prevalence (AUC = 0.604), especially when combined with other variables used in the nomogram (AUC = 0.828). The smooth curve fitting regression analysis demonstrated a significant linear association between the risk of SIRI and the odds ratio of CVD prevalence (P for nonlinear = 0.275). Conclusions SIRI is a relatively stable indicator of inflammation and is independently associated with the prevalence of CVD. It may serve as a novel inflammatory indicator to estimate CVD prevalence in populations with obesity.
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Affiliation(s)
- Zhou Liu
- Department of Cardiology, Huai'an Hospital Affiliated to Yangzhou University (The Fifth People's Hospital of Huai'an), Huai'an, China
| | - Longxuan Zheng
- Department of Cardiology, Huai'an Hospital Affiliated to Yangzhou University (The Fifth People's Hospital of Huai'an), Huai'an, China
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Chen X, Li A, Ma Q. Neutrophil-lymphocyte ratio and systemic immune-inflammation index as predictors of cardiovascular risk and mortality in prediabetes and diabetes: a population-based study. Inflammopharmacology 2024:10.1007/s10787-024-01559-z. [PMID: 39167310 DOI: 10.1007/s10787-024-01559-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 08/12/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND The neutrophil-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) are emerging inflammatory markers related to cardiovascular outcomes. This study investigated their relationships with cardiovascular disease (CVD) and mortality among individuals with prediabetes or diabetes and assessed their predictive roles. METHODS A cohort of 6871 individuals with diabetes or prediabetes from the NHANES (2001-2018) was included. Weighted multivariate logistic regression models assessed NLR and SII associations with CVD risk, while survey-weighted Cox proportional hazards models evaluated their links to mortality. The predictive accuracy of the biomarkers for mortality was quantified by receiver-operating characteristic (ROC) curve analysis. RESULTS Individuals in the higher NLR and SII groups exhibited a high incidence of CVD. A total of 1146 deaths occurred throughout an average follow-up duration of 191 months, of which 382 were caused by CVD. Participants with higher NLR markedly increased the risk of all-cause (HR = 1.82) and cardiovascular mortality (HR = 2.07). A similar result was observed in the higher SII group. RCS analysis identified a linear correlation between NLR and CVD risk and mortality (p > 0.05), while SII showed a nonlinear correlation (p < 0.05). ROC results demonstrated that NLR exhibited a higher predictive ability in mortality than SII. CONCLUSIONS Elevated levels of NLR and SII correlated with an increased risk of CVD and both all-cause and cardiovascular mortality in individuals with diabetes or prediabetes. The NLR appears to be particularly valuable for assessing risk and predicting outcomes in these patients.
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Affiliation(s)
- Xiaoli Chen
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Aihua Li
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Qilin Ma
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China.
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17
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Lu D, Valdimarsdóttir UA, Wei D, Chen Y, Andreassen OA, Fang F, László KD, Bränn E. Perinatal depression and risk of maternal cardiovascular disease: a Swedish nationwide study. Eur Heart J 2024; 45:2865-2875. [PMID: 38889798 PMCID: PMC11328867 DOI: 10.1093/eurheartj/ehae170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 02/09/2024] [Accepted: 03/06/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND AND AIMS Increasing evidence suggests that some reproductive factors/hazards are associated with a future risk of cardiovascular disease (CVD) in women. While major (non-perinatal) depression has consistently been associated with CVD, the long-term risk of CVD after perinatal depression (PND) is largely unknown. METHODS A nationwide population-based matched cohort study involving 55 539 women diagnosed with PND during 2001-14 in Sweden and 545 567 unaffected women individually matched on age and year of conception/delivery was conducted. All women were followed up to 2020. Perinatal depression and CVD were identified from Swedish national health registers. Using multivariable Cox models, hazard ratios (HR) of any and type-specific CVD according to PND were estimated. RESULTS The mean age at the PND diagnosis was 30.8 [standard deviation (SD) 5.6] years. During the follow-up of up to 20 years (mean 10.4, SD 3.6), 3533 (6.4%) women with PND (expected number 2077) and 20 202 (3.7%) unaffected women developed CVD. Compared with matched unaffected women, women with PND had a 36% higher risk of developing CVD [adjusted HR = 1.36, 95% confidence interval (CI): 1.31-1.42], while compared with their sisters, women with PND had a 20% higher risk of CVD (adjusted HR = 1.20, 95% CI 1.07-1.34). The results were most pronounced in women without a history of psychiatric disorder (P for interaction < .001). The association was observed for all CVD subtypes, with the highest HR in the case of hypertensive disease (HR = 1.50, 95% CI: 1.41-1.60), ischaemic heart disease (HR = 1.37, 95% CI: 1.13-1.65), and heart failure (HR 1.36, 95% CI: 1.06-1.74). CONCLUSIONS Women with PND are at higher risk of CVD in middle adulthood. Reproductive history, including PND, should be considered in CVD risk assessments of women.
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Affiliation(s)
- Donghao Lu
- Institute of Environmental Medicine, Unit of Integrative Epidemiology, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden
| | - Unnur A Valdimarsdóttir
- Institute of Environmental Medicine, Unit of Integrative Epidemiology, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Dang Wei
- Institute of Environmental Medicine, Unit of Integrative Epidemiology, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden
| | - Yufeng Chen
- Institute of Environmental Medicine, Unit of Integrative Epidemiology, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Fang Fang
- Institute of Environmental Medicine, Unit of Integrative Epidemiology, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden
| | - Krisztina D László
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Emma Bränn
- Institute of Environmental Medicine, Unit of Integrative Epidemiology, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden
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Jiang R, Hua Y, Hu X, Hong Z. The pan immune inflammatory value in relation to non-alcoholic fatty liver disease and hepatic fibrosis. Clin Res Hepatol Gastroenterol 2024; 48:102393. [PMID: 38866239 DOI: 10.1016/j.clinre.2024.102393] [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: 04/15/2024] [Revised: 05/30/2024] [Accepted: 06/07/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Inflammation played a critical role in non-alcoholic fatty liver disease (NAFLD). Here, we aimed to explore the relationship between inflammatory biomarkers and the prevalence of NAFLD and hepatic fibrosis in US participants. METHODS Individuals with complete data from National Health and Nutrition Examination Survey (NHANES), 2017-2020 pre-pandemic cycle dataset were referred to this study. We identified NAFLD by vibration-controlled transient elastography (VCTE) on the basis of controlling attenuation parameter (CAP) ≥274dB/m. Liver fibrosis was confirmed by liver stiffness measurement (LSM) ≥8.2kPa. Multivariate logistic regression models were applied to estimate the correlations between inflammatory biomarkers and the prevalence of NAFLD and hepatic fibrosis based on sample weights. RESULTS All together 5026 subjects were incorporated into the study cohort. Among these subjects, 2209 were classified as having NAFLD, and 8.35 % were diagnosed with hepatic fibrosis. Pan immune inflammatory value (PIV), instead of systemic immune inflammatory index (SII), was positively correlated with the rate of NAFLD or hepatic fibrosis. Subgroup analysis for NAFLD revealed that the positive relationships of the PIV existed in males (OR=1.52, 95 % CI: 1.01-2.28, p = 0.046) and participants below 60 years of age (OR=1.49, 95 % CI: 1.05-2.1, p = 0.028). Moreover, subgroup analysis for hepatic fibrosis revealed that the positive relationships of the PIV existed in females (OR=2.09, 95 % CI: 1.2-3.63, p = 0.014) and participants below 60 years of age (OR=1.74, 95 % CI: 1.09-2.77, p = 0.023). CONCLUSIONS A higher PIV, but not SII, is associated with a higher likelihood of NAFLD and liver fibrosis, suggesting that the PIV is a more valuable inflammatory marker for assessing NAFLD and liver fibrosis in participants, especially for those who are below 60 years of age.
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Affiliation(s)
- Rong Jiang
- School of Clinical Medicine, Jiangsu Health Vocational College, No. 69, Huangshan Ling Road, Pukou Distric, Nanjing, Jiangsu 210029, China; Nanjing Medical University, Nanjing 210029, Jiangsu, China.
| | - Yunfeng Hua
- School of Clinical Medicine, Jiangsu Health Vocational College, No. 69, Huangshan Ling Road, Pukou Distric, Nanjing, Jiangsu 210029, China
| | - Xiang Hu
- School of Clinical Medicine, Jiangsu Health Vocational College, No. 69, Huangshan Ling Road, Pukou Distric, Nanjing, Jiangsu 210029, China
| | - Zhen Hong
- School of Clinical Medicine, Jiangsu Health Vocational College, No. 69, Huangshan Ling Road, Pukou Distric, Nanjing, Jiangsu 210029, China.
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19
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Ocaña-Ramm G, Gallardo-Pérez MM, Garcés-Eisele SJ, Sánchez-Bonilla D, Robles-Nasta M, Hernández-Flores EJ, Hamilton-Avilés LE, Negrete-Rodríguez P, Melgar-de-la-Paz M, Lira-Lara O, Olivares-Gazca JC, Ruiz-Delgado GJ, Ruiz-Argüelles GJ. Neutrophil to lymphocyte ratio and systemic immune-inflammatory index as markers of response to autologous hematopoietic stem cell transplantation in persons with multiple sclerosis. Int J Lab Hematol 2024; 46:620-626. [PMID: 38421242 DOI: 10.1111/ijlh.14259] [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: 12/01/2023] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
INTRODUCTION Biomarkers that help to evaluate the immune system and could be useful in multiple sclerosis (MS) are the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune-inflammatory index (SII). The objective of this work is to evaluate the significance of the SII index, PLR, and NLR before and after transplantation in individuals with MS who underwent autologous hematopoietic stem cell transplant (aHSCT) at a single institution. METHODS Patients with MS who received an aHSCT between 2017 and 2022 were included in the study. NLR, PLR, and SII index were calculated prior to the transplant and 100 days after, and evaluation of the expanded disability status scale (EDSS) was done before the transplant and 12 months after. The cohort was divided into two groups: aHSCT responders (R) and nonresponders (NR). RESULTS Fifty-eight individuals were examined: 37 patients in the responders group R group and 21 in NR group. There was no statistically significant difference in the SII, NLR, and PLR prior to the transplant, however at 100 days post-HSCT, NLR in the R group was 1.8 versus 3.1 in the NR group (p = 0.003), PLR was 194 versus 295, respectively (p = 0.024), meanwhile SII index was 489.5 versus 729.3 (p < 0.001). CONCLUSION High NLR and SII index values after the aHSCT were associated with a worsening in the EDSS score. However, since this is the first ever study that compared NLR and SII index with the aHSCT response in persons with MS, further studies must be performed to corroborate this information.
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Affiliation(s)
- Guillermo Ocaña-Ramm
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico
| | | | - Solón Javier Garcés-Eisele
- Facultad de Medicina, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico
- Laboratorios Ruiz, SYNLAB, Puebla, Mexico
| | | | - Max Robles-Nasta
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
| | - Edgar Jared Hernández-Flores
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico
| | - Luis Enrique Hamilton-Avilés
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico
| | - Paola Negrete-Rodríguez
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad De Las Américas Puebla, Puebla, Mexico
| | - Miranda Melgar-de-la-Paz
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Anáhuac Puebla, Puebla, Mexico
| | - Olivia Lira-Lara
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Veracruzana, Veracruz, Mexico
| | | | - Guillermo J Ruiz-Delgado
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico
| | - Guillermo J Ruiz-Argüelles
- Centro de Hematología y Medicina Interna, Clínica Ruíz, Puebla, Mexico
- Facultad de Medicina, Universidad Popular Autónoma del Estado de Puebla, Puebla, Mexico
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Krecak I, Lekovic D, Arsenovic I, Bogdanovic A, Holik H, Zekanovic I, Moric Peric M, Lucijanic M. Systemic Inflammatory Index in Polycythemia Vera and Its Prognostic Implications. J Clin Med 2024; 13:4459. [PMID: 39124725 PMCID: PMC11313665 DOI: 10.3390/jcm13154459] [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: 07/02/2024] [Revised: 07/25/2024] [Accepted: 07/27/2024] [Indexed: 08/12/2024] Open
Abstract
Background: This study aimed to evaluate the clinical and prognostic associations of the systemic inflammatory index (SII) in polycythemia vera (PV) patients. SII integrates information on absolute neutrophil (ANC), lymphocyte (ALC), and platelet counts into one index (calculated as ANCxALC/platelet count) and was previously shown to predict thrombotic and mortality risks in the general population. Methods: A total of 279 PV patients treated in several hematologic centers in Croatia and Serbia was retrospectively evaluated. Results: The median SII for the overall cohort was 1960. Higher SII stratified at the specific cut-off points was significantly associated with shorter time to thrombosis (TTT; p = 0.004) driven by arterial thrombotic events, and shorter overall survival (OS; p < 0.001). Higher SII was able to refine the European Leukemia Net-defined high-risk patient subgroup for both thrombotic and survival risks, especially in individuals over 60 years of age. SII and all other evaluated CBC components and indices (leukocytes, ANC, ALC, platelets, neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR)) demonstrated low-to-modest prognostic properties, whereas SII outperformed other parameters with respect to TTT and OS prognostications. Discussion: The presented results complement prior studies evaluating the prognostic performance of different CBC components for thrombotic and survival risk predictions and offer more options to personalize PV treatments.
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Affiliation(s)
- Ivan Krecak
- Department of Internal Medicine, General Hospital of Sibenik-Knin County, 22000 Sibenik, Croatia
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
- University of Applied Sciences, 22000 Sibenik, Croatia
| | - Danijela Lekovic
- Clinic of Hematology, University Clinical Center of Serbia, 11000 Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Isidora Arsenovic
- Clinic of Hematology, University Clinical Center of Serbia, 11000 Belgrade, Serbia
| | - Andrija Bogdanovic
- Clinic of Hematology, University Clinical Center of Serbia, 11000 Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Hrvoje Holik
- Department of Internal Medicine, Dr. Josip Benčević General Hospital, 35000 Slavonski Brod, Croatia
| | - Ivan Zekanovic
- Department of Internal Medicine, General Hospital Zadar, 23000 Zadar, Croatia
| | - Martina Moric Peric
- Department of Internal Medicine, General Hospital Zadar, 23000 Zadar, Croatia
| | - Marko Lucijanic
- Division of Hematology, University Hospital Dubrava, 10040 Zagreb, Croatia
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
- Department of Scientific Research and Translational Medicine, University Hospital Dubrava, 10040 Zagreb, Croatia
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21
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Groenewald EJ, Nkambule BB, Nyambuya TM. Aggravated Systemic Inflammation and Atherogenicity in African Patients Living With Type 2 Diabetes and Hypertension Comorbidity. Clin Med Insights Endocrinol Diabetes 2024; 17:11795514241263298. [PMID: 39081822 PMCID: PMC11287731 DOI: 10.1177/11795514241263298] [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: 02/07/2024] [Accepted: 07/04/2024] [Indexed: 08/02/2024] Open
Abstract
Objective To explore routinely measured markers of systemic inflammation in hypertension (HTN) and type 2 diabetes (T2D) comorbidity, and their association with atherogenicity. Methods This study included a total of 70 patients with T2D which were categorised into 2 groups, that is with T2D and with HTN comorbidity (T2D + HTN) (n = 35/group). All measured laboratory parameters were determined using standardised methods. Results The neutrophil/lymphocyte ratio (NLR) was elevated in patients with T2D + HTN when compared to those with T2D (P = .0494). This was also the case with C-reactive protein (CRP) levels (P < .0001) and systemic immune-inflammation (SII) index (P = .0298). Notably, the majority of patients with T2D + HTN [63% (n = 22)] were classified as having an intermediate or high atherogenic index of plasma (AIP). The correlation analysis of systemic inflammation showed significant associations between CRP and age (r = .24, P = .0477); CRP and red blood cell count (r = -.4, P = .0455), and SII and systolic blood pressure (SBP) (r = .33, P = .0056). However, there was no association between inflammatory profiles and lipograms (P > .05). We further assessed predictors for an elevated AIP using mutivariable regression model adjusted for age, SBP, CRP and SII. Only NLR was a significant predictor of AIP (β = .287, SE: 0.1, P = .0046). Conclusion HTN comorbidity in T2D is associated with exacerbated levels of inflammation and atherogenicity. NLR is a significant independent risk factor for increased atherogenicity in patients with T2D. Therefore, the use of therapeutic strategies that target and alleviate inflammation in patients with T2D and HTN comorbidity is imperative in reducing the initiating and progression of cardiovascular events (CVEs).
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Affiliation(s)
- Ernst J Groenewald
- Department of Health Sciences, Faculty of Health and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia
| | - Bongani B Nkambule
- School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Tawanda M Nyambuya
- Department of Molecular Medicine and Haematology, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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22
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Xing H, Yuan D, Zhu Y, Jiang L. A nomogram model based on SII, AFR, and NLR to predict infectious complications of laparoscopic hysterectomy for cervical cancer. World J Surg Oncol 2024; 22:190. [PMID: 39049119 PMCID: PMC11267934 DOI: 10.1186/s12957-024-03489-0] [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: 05/14/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND This study aimed to investigate the potential risk factors associated with postoperative infectious complications following laparoscopic hysterectomy for cervical cancer and to develop a prediction model based on these factors. METHODS This study enrolled patients who underwent selective laparoscopic hysterectomy for cervical cancer between 2019 and 2024. A multivariate regression analysis was performed to identify independent risk factors associated with postoperative infectious complications. A nomogram prediction model was subsequently constructed and evaluated using R software. RESULTS Out of 301 patients were enrolled and 38 patients (12.6%) experienced infectious complications within one month postoperatively. Six variables were independent risk factors for postoperative infectious complications: age ≥ 60 (OR: 3.06, 95% confidence interval (CI): 1.06-8.79, P = 0.038), body mass index (BMI) ≥ 24.0 (OR: 3.70, 95%CI: 1.4-9.26, P = 0.005), diabetes (OR: 2.91, 95% CI: 1.10-7.73, P = 0.032), systemic immune-inflammation index (SII) ≥ 830 (OR: 6.95, 95% CI: 2.53-19.07, P < 0.001), albumin-to-fibrinogen ratio (AFR) < 9.25 (OR: 4.94, 95% CI: 2.02-12.07, P < 0.001), and neutrophil-to-lymphocyte ratio (NLR) ≥ 3.45 (OR: 7.53, 95% CI: 3.04-18.62, P < 0.001). Receiver operator characteristic (ROC) curve analysis indicated an area under the curve (AUC) of this nomogram model of 0.928, a sensitivity of 81.0%, and a specificity of 92.1%. CONCLUSIONS The nomogram model, incorporating age, BMI, diabetes, SII, AFR, and NLR, demonstrated strong predictive capabilities for postoperative infectious complications following laparoscopic hysterectomy for cervical cancer.
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Affiliation(s)
- Hailin Xing
- Department of Anesthesiology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou City, China
| | - Donglan Yuan
- Department of gynecology,The Affiliated Taizhou People's Hospital of Nanjing Medical University, Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, No. 366 Taihu Road, Taizhou City, 225300, Jiangsu Province, China
| | - Yabin Zhu
- Department of Anesthesiology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou City, China
| | - Lin Jiang
- Department of Anesthesiology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou City, China.
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23
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Florek K, Kübler M, Górka M, Kübler P. New Modifiable Risk Factors Influencing Coronary Artery Disease Severity. Int J Mol Sci 2024; 25:7766. [PMID: 39063008 PMCID: PMC11276953 DOI: 10.3390/ijms25147766] [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: 05/22/2024] [Revised: 07/03/2024] [Accepted: 07/07/2024] [Indexed: 07/28/2024] Open
Abstract
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide with coronary artery disease (CAD) being the first culprit in this group. In terms of CAD, not only its presence but also its severity plays a role in the patient's treatment and prognosis. CAD complexity can be assessed with the indicator named the SYNTAX score (SS). A higher SS is associated with major adverse cardiovascular event (MACE) occurrence in short- and long-term observations. Hence, the risk factors affecting CAD severity based on SS results may help lower the risk among patients with already developed CAD to reduce their impact on coronary atherosclerosis progression. The well-established risk factors of CAD are consistent with those associated with the coronary plaque burden. However, recently, it was shown that new indicators exist, which we present in this paper, that significantly contribute to CAD complexity such as inflammatory parameters, C-reactive protein (CRP), ratios based on blood smear results, and uric acid. Moreover, microbiota alteration, vitamin D deficiency, and obstructive sleep apnea (OSA) also predicted CAD severity. However, sometimes, certain indicators were revealed as significant only in terms of chronic coronary syndromes (CCSs) or specific acute coronary syndromes (ACSs). Importantly, there is a need to apply the interdisciplinary and translational approach to the novel CAD severity risk assessment to maximize the impact of secondary prevention among patients at risk of coronary atherosclerosis progression.
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Affiliation(s)
- Kamila Florek
- Student Scientific Group of Invasive Cardiology, Institute of Heart Diseases, Wroclaw Medical University, 50-369 Wroclaw, Poland
| | - Maja Kübler
- Student Scientific Group of Invasive Cardiology, Institute of Heart Diseases, Wroclaw Medical University, 50-369 Wroclaw, Poland
| | - Magdalena Górka
- Student Scientific Group of Invasive Cardiology, Institute of Heart Diseases, Wroclaw Medical University, 50-369 Wroclaw, Poland
| | - Piotr Kübler
- Institute of Heart Diseases, University Hospital, 50-556 Wroclaw, Poland
- Department of Cardiology, Faculty of Medicine, Institute of Heart Diseases, Wroclaw Medical University, 50-367 Wroclaw, Poland
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24
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Wang X, Wang M, Shen Y. Higher systemic inflammation response index is associated with increased risk of heart failure in adults: An observational study. Medicine (Baltimore) 2024; 103:e38625. [PMID: 38996176 PMCID: PMC11245268 DOI: 10.1097/md.0000000000038625] [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: 12/14/2023] [Accepted: 05/28/2024] [Indexed: 07/14/2024] Open
Abstract
Inflammation has been established to play a crucial role in the onset of heart failure (HF) for many years, and the systemic inflammation response index (SIRI) is a new and comprehensive indicator reflecting the inflammation status in human body. The aim of this investigation was to determine the potential relationship between HF and SIRI in adults. For this investigation, we used cross-sectional data from the National Health and Nutrition Examination Survey (NHANES), which was conducted from 2009 to 2018. The study utilized multivariable linear regression models to examine the potential independent relationship between HF and SIRI. Additionally, a subgroup analysis and interaction test were carried out. To illustrate the nonlinear relationship, threshold effect analysis and fitted smoothing curves were also used. 26,303 eligible subjects aged ≥ 20 years were enrolled as the final samples. HF participants exhibited significant higher SIRI compared with non-HF participants [1.89 ± 1.33 vs 1.25 ± 0.95 (1000 cells/μL), P < .0001]. Multivariate logistic regression showed that those in the highest SIRI quartile had a significantly greater risk of HF by 130% (OR = 2.30, 95% CI 1.41-3.76; P < .0001). In addition, nonlinear relationship between HF and SIRI with the inflection point of 2.2 (1000 cells/μL) was observed. According to our research, adult HF prevalence and SIRI are positively correlated. This implies that SIRI could be a valuable biomarker for determining HF risk in the clinic.
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Affiliation(s)
- Xiao Wang
- Department of Oncology, Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China
| | - Min Wang
- Department of Endocrinology, Sichuan Taikang Hospital, Chengdu, Sichuan, China
| | - Yishi Shen
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
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25
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Aljuraiban GS, Alharbi FJ, Aljohi AO, Almeshari AZ, Alsahli AS, Alotaibi BS, Abudawood M, Alfawaz W, Abulmeaty M. Systemic immune-inflammation index and its relation to blood pressure and dyslipidemia in adults: A retrospective study. Medicine (Baltimore) 2024; 103:e38810. [PMID: 38996174 PMCID: PMC11245260 DOI: 10.1097/md.0000000000038810] [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: 02/21/2024] [Accepted: 06/13/2024] [Indexed: 07/14/2024] Open
Abstract
High blood pressure (BP) and dyslipidemia are major risk factors for cardiovascular disease mortality. The systemic immune-inflammation index (SII) has been suggested as a predictive tool to identify those at risk for chronic diseases, however, its use for predicting high BP and dyslipidemia has not been thoroughly investigated. This study aimed to examine the association between SII and high BP as well as lipid markers. Retrospective hospital data from a large cohort (n = 3895) of Saudi adults aged ≥18 years were analyzed. Lipid markers (cholesterol, high-density lipoprotein, low-density lipoprotein [LDL]), systolic BP, and diastolic BP measures were extracted. When the sample was divided into quartiles of SII, cholesterol, triglycerides, and LDL were higher in those with a higher SII than in those with a lower SII (P < .01). After adjusting for potential confounders, higher SII was significantly associated with higher odds of hypertension (odds ratio: 1.12, 95% confidence interval: 1.04-1.21) and elevated LDL (odds ratio: 1.07, 95% CI: 1.02-1.14), but not with elevated cholesterol. Across quartiles of SII, there was a significant trend between higher SII and the odds of hypertension in people with diabetes and those aged ≥65 years. The SII could be an economical predictive measure for identifying individuals at risk of hypertension and some aspects of dyslipidemia. Longitudinal studies are needed to confirm this relationship.
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Affiliation(s)
- Ghadeer S. Aljuraiban
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Fahad J. Alharbi
- Department of Central Military Laboratory & Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Ali O. Aljohi
- Department of Central Military Laboratory & Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Abdullah Z. Almeshari
- Department of Central Military Laboratory & Blood Bank, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
| | - Abdulaziz S. Alsahli
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Bader Saad Alotaibi
- Deputyship of Research Chairs, Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia
| | - Manal Abudawood
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
- Central Research Laboratory, King Saud University, Riyadh, Saudi Arabia
| | - Waad Alfawaz
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Mahmoud Abulmeaty
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
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26
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Li G, Zhao D, Qin R, Zhao X, Huo Z, Li P. Associations of three differential white blood cell counts, platelet counts, and their derived inflammatory indices with cancer-related fatigue in patients with breast cancer undergoing chemotherapy. Support Care Cancer 2024; 32:486. [PMID: 38963577 DOI: 10.1007/s00520-024-08700-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 06/27/2024] [Indexed: 07/05/2024]
Abstract
PURPOSE Inflammation is thought to be a vital element in the etiology of cancer-related fatigue (CRF), and circulating blood cell parameters could be important markers of inflammatory response. However, the associations of several major blood cell counts and their derived inflammatory indices with CRF are not well described. The present study aimed to establish whether a relationship exists between the counts of three white blood cell (WBC) types, platelets, and CRF and investigate whether several systemic inflammatory indices were associated with CRF in patients with breast cancer (BC). METHODS A cross-sectional survey was conducted with a sample of 824 patients with BC undergoing chemotherapy. The cancer fatigue scale was administered to assess CRF. Hematological indicators, including neutrophils, lymphocytes, monocytes, and platelets, were retrieved from routine blood test. Network analyses were used to examine the associations among them. RESULTS Among 824 participants, the mean score of CRF was (27 ± 10), ranging from 0 to 57. The results of network models indicated that physical fatigue was negatively linked to lymphocyte counts (weight = - 0.161), and affective fatigue was positively associated with neutrophil counts (weight = 0.070). Additionally, physical fatigue was positively linked to the platelet-to-lymphocyte ratio (PLR) (weight = 0.049). CONCLUSION There were preliminary associations of counts of three WBC types, platelet counts, and systemic inflammatory indices, with distinct dimensions of CRF in patients with BC. Findings provide empirical support for the cellular basis of fatigue-associated inflammatory states.
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Affiliation(s)
- Guopeng Li
- School of Nursing and Rehabilitation, Shandong University, 44 Wenhua West Road, Jinan, Shandong, 250012, P.R. China
| | - Di Zhao
- School of Nursing and Rehabilitation, Shandong University, 44 Wenhua West Road, Jinan, Shandong, 250012, P.R. China
| | - Rui Qin
- School of Nursing and Rehabilitation, Shandong University, 44 Wenhua West Road, Jinan, Shandong, 250012, P.R. China
| | - Xiangyu Zhao
- School of Nursing and Rehabilitation, Shandong University, 44 Wenhua West Road, Jinan, Shandong, 250012, P.R. China
| | - Zhijun Huo
- Department of Breast Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, P.R. China.
| | - Ping Li
- School of Nursing and Rehabilitation, Shandong University, 44 Wenhua West Road, Jinan, Shandong, 250012, P.R. China.
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27
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Zhao X, Huang L, Hu J, Jin N, Hong J, Chen X. The association between systemic inflammation markers and paroxysmal atrial fibrillation. BMC Cardiovasc Disord 2024; 24:334. [PMID: 38961330 PMCID: PMC11223271 DOI: 10.1186/s12872-024-04004-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 06/23/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Systemic inflammation markers have recently been identified as being associated with cardiac disorders. However, limited research has been conducted to estimate the pre-diagnostic associations between these markers and paroxysmal atrial fibrillation (PAF). Our aim is to identify potential biomarkers for early detection of PAF. METHODS 91 participants in the PAF group and 97 participants in the non-PAF group were included in this study. We investigated the correlations between three systemic inflammation markers, namely the systemic immune inflammation index (SII), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), and PAF. RESULTS The proportion of patients with PAF gradually increased with increasing logSII, logSIRI, and logAISI tertiles. Compared to those in the lowest tertiles, the PAF risks in the highest logSII and logSIRI tertiles were 3.2-fold and 2.9-fold, respectively. Conversely, there was no significant correlation observed between logAISI and PAF risk within the highest tertile of logAISI. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and PAF risk. Specifically, the incidence of PAF is respectively increased by 56%, 95%, and 150% for each standard deviation increase in these variables. The ROC curve analysis of logSII, logSIRI and logAISI showed that they had AUC of 0.6, 0.7 and 0.6, respectively. It also demonstrated favorable sensitivity and specificity of these systemic inflammation markers in detecting the presence of PAF. CONCLUSIONS In conclusion, our study reveals significant positive correlations between SII, SIRI, and AISI with the incidence of PAF.
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Affiliation(s)
- Xuechen Zhao
- Department of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China
| | - Lei Huang
- Department of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China.
| | - Jianan Hu
- Department of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China
| | - Nake Jin
- Department of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China
| | - Jun Hong
- Department of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China
| | - Xudong Chen
- Department of Cardiology, Ningbo Hangzhou Bay Hospital, 1155 Binhai 2nd Road, Hangzhou Bay New Area, Ningbo, 315336, China
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Aon M, Aoun AH, Alshami A, Alharbi A, Alshammari F, Alnajjar M, Almutawtah A, Bin Naji B, Alsaeed A, Abdelwahab OA. Association of the systemic immune-inflammation index (SII) and severity of diabetic ketoacidosis in patients with type 1 diabetes mellitus: a retrospective cohort study. Ann Med Surg (Lond) 2024; 86:3865-3872. [PMID: 38989212 PMCID: PMC11230746 DOI: 10.1097/ms9.0000000000002185] [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: 02/12/2024] [Accepted: 05/08/2024] [Indexed: 07/12/2024] Open
Abstract
Background Diabetic ketoacidosis (DKA) is the most serious metabolic complication of type 1 diabetes mellitus (T1DM). Insulin deficiency and inflammation play a role in the pathogenesis of DKA. The authors aimed to assess the systemic immune-inflammation index (SII) as a marker of severity among T1DM patients with DKA and without infection. Methods The authors included T1DM patients older than or equal to 12 years hospitalized because of DKA. The authors excluded patients with infection or any condition that can change SII parameters or cause metabolic acidosis. The authors compared SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) between severe and non-severe DKA groups. The authors also assessed the need for an ICU, length of stay, and 90-day readmission rate between the groups. Results The study included 241 patients with a median age of 17 (14, 24) years, and 44.8% were males. More patients with severe DKA (45%) required ICU admission (P<0.001). Median SII increased with DKA severity, and the difference was significant (P=0.033). No significant difference was observed as regards median NLR or PLR (P=0.380 and 0.852, respectively). SII, but not NLR or PLR, had a significant negative correlation with PH (r=-0.197, P=0.002) and HCO3 level (r=-0.144, P=0.026). Also, being in the highest SII quartile was an independent risk factor for DKA severity (OR, 2.522; 95% CI, 1.063-6.08; P=0.037). The authors estimated an SII cut-off value of 2524.24 to predict DKA severity with high specificity. Conclusion Elevated SII is a risk factor for DKA severity in T1DM. It is better than NLR and PLR in prognosticating DKA patients. These findings highlight the role of inflammation in DKA. SII can help as a valuable and simple tool to assess DKA severity.
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Affiliation(s)
| | - Ahmed H Aoun
- Pediatrics, Faculty of Medicine, Cairo University, Giza
- Primary Health Care Corporation, Doha, Qatar
| | - Ahmad Alshami
- Department of Internal Medicine, Jahra Hospital, Jahra, Kuwait
| | | | | | | | | | - Bader Bin Naji
- Department of Internal Medicine, Jahra Hospital, Jahra, Kuwait
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Liu X, Wang Y, Wang W, Dong H, Wang G, Chen W, Chen J, Chen W. The association between systemic immune-inflammation index and cardiotoxicity related to 5-Fluorouracil in colorectal cancer. BMC Cancer 2024; 24:782. [PMID: 38951749 PMCID: PMC11218411 DOI: 10.1186/s12885-024-12568-0] [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: 04/22/2024] [Accepted: 06/26/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND AND AIMS The cardiotoxicity related to 5-Fluorouracil (5-FU) in cancer patients has garnered widespread attention. The systemic immune-inflammation index (SII) has recently been identified as a novel predictive marker for the development of cardiovascular illnesses in individuals without pre-existing health conditions. However, it remains unclear whether the levels of SII are linked to cardiotoxicity related to 5-FU. This retrospective study aims to fill this knowledge gap by examining the correlation between SII and cardiotoxicity related to 5-FU in a colorectal cancer cohort. METHODS The study comprised colorectal cancer patients who received 5-FU-based chemotherapy at the affiliated cancer hospital of Guizhou Medical University between January 1, 2018 and December 31, 2020. After adjustment for confounders and stratification by tertiles of the interactive factor, linear regression analyses, curve fitting and threshold effect analyses were conducted. RESULTS Of the 754 patients included final analysis, approximately 21% (n = 156) of them ultimately experienced cardiotoxicity related to 5-FU. Monocytes (M) was found as an influential element in the interaction between SII and cardiotoxicity related to 5-FU. In the low tertile of M (T1: M ≤ 0.38 × 109/L), increasing log SII was positively correlated with cardiotoxicity related to 5-FU (Odds Ratio [OR], 8.04; 95% confidence interval [95%CI], 1.68 to 38.56). However, a curvilinear relationship between log SII and cardiotoxicity was observed in the middle tertile of M (T2: 0.38 < M ≤ 0.52 × 109/L). An increase in log SII above 1.37 was shown to be associated with a decreased risk of cardiotoxicity (OR, 0.14; 95%CI, 0.02 to 0.88), indicating a threshold effect. In the high tertile of M (T3: M > 0.52 × 109/L), there was a tendency towards a negative linear correlation between the log SII and cardiotoxicity was observed (OR, 0.85; 95%CI, 0.37 to 1.98). CONCLUSION Our findings suggest that SII may serve as a potential biomarker for predicting cardiotoxicity related to 5-FU in colorectal cancer patients. SII is an independent risk factor for cardiotoxicity related to 5-FU with low monocytes levels (T1). Conversely, in the middle monocytes levels (T2), SII is a protective factor for cardiotoxicity related to 5-FU but with a threshold effect.
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Affiliation(s)
- Xiaoqin Liu
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Yan Wang
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Wenling Wang
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Hongming Dong
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Gang Wang
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Wanghua Chen
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Juan Chen
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Weiwei Chen
- Department of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
- Department of Abdominal Oncology and Clinical Medicine, Affiliated Cancer Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China.
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Tian T, Xie M, Sun G. Association of systemic immune-inflammation index with asthma and asthma-related events: a cross-sectional NHANES-based study. Front Med (Lausanne) 2024; 11:1400484. [PMID: 38988356 PMCID: PMC11233796 DOI: 10.3389/fmed.2024.1400484] [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: 03/13/2024] [Accepted: 06/05/2024] [Indexed: 07/12/2024] Open
Abstract
Background Asthma is associated with persistent airway inflammation, and numerous studies have investigated inflammatory markers causing asthma. However, the systemic immune-inflammation index (SII) is a novel inflammatory marker, with scarce research reporting on the correlation between SII and asthma and asthma-related events. Objective The purpose of this study was to assess the relationship between SII and asthma and asthma-related events (including whether asthma is still present, asthma flare-ups in the past year, and asthma duration) using data from the National Health and Nutrition Examination Survey (NHANES). Methods The study utilized data from NHANES 2009-2018 with asthma and asthma-related events as dependent variables and SII as an independent variable. Multifactor logistic regression was employed to assess the correlation between the independent and dependent variables. Smoothed curve-fitting and threshold effect analyses were also carried out to determine the presence of non-linear relationships. Subgroup analyses were then performed to identify sensitive populations. Results In this study, we analyzed data from 40,664 participants to elucidate the association between SII and asthma and its related events. The study findings indicated a positive correlation between SII and asthma, with a relative risk increase of 0.03% for asthma incidence per one percentage point increase in SII (OR = 1.0003, 95% CI: 1.0002, 1.0004). For individuals still suffering from asthma, higher SII also indicated a positive correlation with ongoing asthma (OR = 1.0004, 95% CI: 1.0001, 1.0006). However, no statistically significant association was observed between SII and asthma exacerbations within the following year (OR = 1.0001, p > 0.05). When considering the duration of asthma, we observed a slight positive correlation with SII (β = 0.0017, 95% CI: 0.0005, 0.0029). Additionally, a significant non-linear relationship between SII and asthma duration emerged at the threshold of 504.3 (β = 0.0031, 95% CI: 0.0014-0.0048, p = 0.0003). Subgroup analysis revealed a stronger correlation between SII and asthma in male patients (OR = 1.0004, 95% CI: 1.0002-1.0006) and individuals aged 60 and above (OR = 1.0005, 95% CI: 1.0003-1.0007). No gender differences were observed for individuals still suffering from asthma. However, the positive correlation between SII and asthma was more pronounced in participants under 20 years old (OR = 1.0004 in Model 3, 95% CI: 1.0002-1.0006). Specific sensitive subgroups for asthma exacerbation recurrence within the past year were not identified. When considering asthma duration, we observed this association to be significant in male individuals (β = 0.0031 in Model 3, 95% CI: 0.0014-0.0049) as well as individuals aged 20 to 39 (β = 0.0023 in Model 3, 95% CI: 0.0005-0.0040). Conclusion Our study concludes that SII is positively correlated with the persistence of asthma yet has limited predictive power for asthma recurrence. This highlights SII's potential as a tool for assessing asthma risk and formulating targeted management strategies.
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Affiliation(s)
- Tulei Tian
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Department of Respiratory and Critical Care Medicine, The Affiliated Bozhou Hospital of Anhui Medical University, Bozhou, China
| | - Meiling Xie
- Bengbu Medical University Graduate School, Bengbu, China
| | - Gengyun Sun
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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Wang S, Xiao W, Duan Z, Fu Y, Fang J, Xu T, Yang D, Li G, Guan Y, Zhang Y. Depression heightened the association of the systemic immune-inflammation index with all-cause mortality among osteoarthritis patient. J Affect Disord 2024; 355:239-246. [PMID: 38552917 DOI: 10.1016/j.jad.2024.03.127] [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: 08/23/2023] [Revised: 03/04/2024] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Systemic immune-inflammatory index (SII) has been recognized as a novel inflammatory indicator in numerous diseases. It remains unknown how SII affects all-cause mortality among patients with osteoarthritis (OA). In this prospective cohort study, we intended to examine the relationship of SII with all-cause mortality among OA populations and assess the interaction between depression and SII. METHODS Data was collected from National Health and Nutrition Examination Survey (NHANES) in 2005-2018. The National Death Index (NDI) provided vital status records. Multivariable Cox regression analyses with cubic spines were applied to estimate the association between SII and all-cause and CVD mortality. Stratified analysis and interaction tests assessed the interaction of SII and depression on all-cause mortality. RESULTS In total 3174 OA adults were included. The lowest quartile Q1 (HR:1.44, 95%CI:1.02-2.04) and highest quartile Q4 (HR:1.44, 95%CI:1.02-2.04) of SII presented a higher risk of death compared with those in second quartile Q2 (Ref.) and third quartile Q3 (HR:1.23, 95%CI:0.89-1.68. Restricted cubic splines analysis revealed a U-shaped association of SII with all-cause mortality, the inflection points were 412.93 × 109/L. The interaction test observed a more significant relationship of SII with all-cause mortality in depression patients than in non-depression patients, indicating that depression can modify this association. LIMITATIONS First, the observational study design failed to make causal inferences. Second, the baseline SII cannot reflect the long-term level of inflammation. Finally, there may be potential bias. CONCLUSION SII was U-shaped associated with all-cause mortality in OA patients, and this association was significantly heightened by depression.
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Affiliation(s)
- Sen Wang
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Wenyu Xiao
- Department of Orthopaedics, Shanghai Tenth People's Hospital Chongming Branch, School of Medicine, Tongji University, Shanghai 202157, China
| | - Zhengwei Duan
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yuesong Fu
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Jiaqi Fang
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Tianyang Xu
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Dong Yang
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Guodong Li
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yonghao Guan
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
| | - Yiwei Zhang
- Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.
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Peng L, Luo X, Cao B, Wang X. Exploring the link: Systemic immune-inflammation index as a marker in endometriosis-Insights from the NHANES 2001-2006 cross-sectional study. PLoS One 2024; 19:e0304591. [PMID: 38843259 PMCID: PMC11156273 DOI: 10.1371/journal.pone.0304591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/14/2024] [Indexed: 06/09/2024] Open
Abstract
OBJECTIVE The systemic immuno-inflammatory index (SII), a novel immune marker of inflammation, has not been previously associated with endometriosis. The objective of this research is to explore the link between SII and the occurrence of endometriosis. METHODS Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2001 to 2006, we screened and extracted relevant information from the population. Participants missing data on either SII or endometriosis were excluded. We divided the remaining cohort into quartiles based on SII levels: Q1 (SII < 249, n = 848), Q2 (249 ≤ SII < 604.55, n = 847), Q3 (604.55 ≤ SII < 825.35, n = 847), and Q4 (SII ≥ 852.35, n = 848). Multiple linear regression and smooth curve fitting techniques, were to evaluate the non-linear association between SII and endometriosis. RESULTS The study included 3,390 adults aged 20 to 55. Multiple linear regression analysis revealed a significant positive correlation between SII and endometriosis [3.14, 95% CI (2.22, 4.45), P < 0.01]. This correlation was consistent across subgroups defined by marital status, poverty income ratio, BMI, alcohol consumption, and age at first menstrual period. However, the relationship between SII and endometriosis was significantly modified by age, education, and history of pregnancy in the stratified analyses. The curve fitting indicated an S-shaped curve, with an inflection point at SII = 1105.76. CONCLUSION The SII may serve as a predictive marker for endometriosis risk among women in the United States, offering a potentially simple and cost-effective approach. However, given the cross-sectional design of this investigation, further validation in prospective studies is necessary.
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Affiliation(s)
- Liang Peng
- The Second People’s Hospital of Jingdezhen, Jingdezhen, Jiangxi, China
| | - Xiaohan Luo
- The Second People’s Hospital of Jingdezhen, Jingdezhen, Jiangxi, China
| | - Baodi Cao
- The Second People’s Hospital of Jingdezhen, Jingdezhen, Jiangxi, China
| | - Xiaohui Wang
- The Second People’s Hospital of Jingdezhen, Jingdezhen, Jiangxi, China
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Feng Y, Lin H, Tan H, Liu X. Life's essential 8 metrics and mortality outcomes in insulin resistance: The role of inflammation, vascular aging, and gender. Clin Nutr ESPEN 2024; 61:131-139. [PMID: 38777424 DOI: 10.1016/j.clnesp.2024.03.004] [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: 09/21/2023] [Revised: 02/19/2024] [Accepted: 03/04/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Insulin resistance (IR) elevates cardiovascular disease (CVD) and mortality risks. Insulin resistance (IR) increases the risk of CVDs and mortality. Recently, the American Heart Association introduced the Life's Essential 8 (LE8) framework to assess cardiovascular health (CVH). However, its impact on mortality in IR populations is unknown. METHODS Analyzing 2005-2018 National Health and Nutrition Examination Survey data, we studied 5301 IR adults (≥20 years). LE8 scores were calculated and participants were categorized into low, moderate, and high CVH groups. Systemic immune-inflammation index (SII) and heart age/vascular age (HVA) were measured as potential mediators. Cox models estimated all-cause and CVD mortality hazard ratios (HRs), stratified by LE8 score and sex, and adjusted for covariates. Mediation analyses assessed SII and HVA's indirect effects. This study is an observational cohort study. RESULTS Over a 7.5-year median follow-up, 625 deaths occurred, including 159 CVD-related. Compared to low CVH, moderate and high CVH groups showed reduced all-cause (HR = 0.72, 95% CI 0.58-0.89; HR = 0.38, 95% CI 0.22-0.67) and CVD mortality (HR = 0.42, 95% CI 0.26-0.69; HR = 0.15, 95% CI 0.04-0.57). A 10-point LE8 increase correlated with 15% and 31% reductions in all-cause and CVD mortality, respectively. SII and HVA mediated up to 38% and 12% of these effects. The LE8's protective effect was more pronounced in men. CONCLUSION LE8 effectively evaluates CVH and lowers mortality risk in IR adults, partially mediated by SII and HVA. The findings inform clinical practice and public health strategies for CVD prevention in IR populations.
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Affiliation(s)
- Yuntao Feng
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Hao Lin
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
| | - Hongwei Tan
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
| | - Xuebo Liu
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
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Cao W, Song Y, Bai X, Yang B, Li L, Wang X, Wang Y, Chang W, Chen Y, Wang Y, Chen J, Gao P, Jiao L, Xu X. Systemic-inflammatory indices and clinical outcomes in patients with anterior circulation acute ischemic stroke undergoing successful endovascular thrombectomy. Heliyon 2024; 10:e31122. [PMID: 38778990 PMCID: PMC11109896 DOI: 10.1016/j.heliyon.2024.e31122] [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: 08/05/2023] [Revised: 04/01/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024] Open
Abstract
Background There is a lack of comprehensive profile assessment on complete blood count (CBC)-derived systemic-inflammatory indices, and their correlations with clinical outcome in patients with anterior circulation acute ischemic stroke (AIS) who achieved successful recanalization by endovascular thrombectomy (EVT). Methods Patients with anterior circulation AIS caused by large vessel occlusion (AIS-LVO) were retrospectively screened from December 2018 to December 2022. Systemic-inflammatory indices including ratios of neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), platelet-to-lymphocyte (PLR), and platelet-to-neutrophil (PNR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate inflammation systemic index (AISI) on admission and the first day post-EVT were calculated. Their correlations with symptomatic intracranial hemorrhage (sICH) and unfavorable 90-day functional outcome (modified Rankin Scale score of 3-6) were analyzed. Results A total of 482 patients [65 (IQR, 56-72) years; 33 % female] were enrolled, of which 231 (47.9 %) had unfavorable 90-day outcome and 50 (10.4 %) developed sICH. Day 1 neutrophil and monocyte counts, NLR, MLR, PLR, SII, SIRI, and AISI were increased, while lymphocyte and PNR were decreased compared to their admission levels. In multivariate analyses, neutrophil count, NLR, SII, and AISI on day 1 were independently associated with 90-day functional outcome. Moreover, day 1 neutrophil count, NLR, MLR, PLR, PNR, SII, and SIRI were independently linked to the occurrence of sICH. No admission variables were identified as independent risk factors for patient outcomes. Conclusion CBC-derived systemic-inflammatory indices measured on the first day after successful EVT are predictive of 90-day functional outcome and the sICH occurrence in patients with anterior circulation AIS-LVO.
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Affiliation(s)
- Wenbo Cao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
| | - Yiming Song
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Xuesong Bai
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Bin Yang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Long Li
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
| | - Xinyu Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Yuxin Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Wenxuan Chang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Yanfei Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Yabing Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Jian Chen
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Peng Gao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
| | - Liqun Jiao
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
- Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Xin Xu
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- China International Neuroscience Institute (China-INI), 45 Changchun Street, Beijing, 100053, China
- Jinan Hospital of Xuanwu Hospital, Capital Medical University, 5106 Jingshi Road, Jinan, Shandong, 250100, China
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Xie S, Wu Q. Association between the systemic immune-inflammation index and sarcopenia: a systematic review and meta-analysis. J Orthop Surg Res 2024; 19:314. [PMID: 38802828 PMCID: PMC11131329 DOI: 10.1186/s13018-024-04808-7] [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: 03/29/2024] [Accepted: 05/22/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Sarcopenia is associated with increased morbidity and mortality. The systemic immune-inflammation index (SII) has been correlated to a variety of disorders. The present study conducted a systematic review and meta-analysis to investigate the relationship between SII and sarcopenia. METHODS A literature search was performed in Web of Science, PubMed, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, Wanfang Database, and VIP Chinese Science and Technology Database, from inception to March 2024. Then, the literature quality was assessed. After the heterogeneity test, a random effects or fixed effects model was applied to establish the forest plot, and investigate the relationship between SII and sarcopenia. Then, the sensitivity analysis and publication bias were examined. RESULTS Nine articles, which included 18,634 adults, were analyzed. Sarcopenic adults had higher SII levels, when compared to non-sarcopenic adults (standardized mean difference [SMD] = 0.66, 95% confidence interval [CI] = 0.22 - 0.19, p = 0.003). The high SII level was associated to the increased risk of sarcopenia (odds ratio = 1.52, 95% CI = 1.09-2.13, p = 0.01). In addition, the subgroup analysis revealed that the SII levels were higher in the sarcopenic group, when compared to the non-sarcopenic group, in elderly adults, as well as in adults with or without gastrointestinal disorders. The analysis was robust with a low risk of publication bias. CONCLUSIONS SII is closely associated to sarcopenia. Sarcopenic adults had elevated SII levels. The high SII level increased the risk of sarcopenia. Large scale multi-center prospective studies are required to validate these study findings.
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Affiliation(s)
- Siye Xie
- School of Nursing, Zhejiang Chinese Medical University, Hangzhou, 310000, China
| | - Qi Wu
- Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, Zhejiang, 310003, China.
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Zhang Y, Qian H, Kuang YH, Wang Y, Chen WQ, Zhu W. Evaluation of the inflammatory parameters as potential biomarkers of systemic inflammation extent and the disease severity in psoriasis patients. Arch Dermatol Res 2024; 316:229. [PMID: 38787405 DOI: 10.1007/s00403-024-02972-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 04/20/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024]
Abstract
The disease severity of psoriasis is mainly assessed subjectively via psoriasis area and severity index (PASI) and body surface area (BSA), while an optimal measure of cutaneous response, may overlook systemic inflammation in psoriasis patients. The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), monocyte to high density lipoprotein ratio (MHR), and systemic immune-inflammation index (SII) exhibit notable associations with the inflammation severity in multiple diseases. The aim of this retrospective study was to explore the associations between inflammatory parameters and the skin lesions' severity of psoriasis. After analysis, we found that patients with psoriasis had higher NLR, MLR, PLR, MHR, and SII levels compared to the control group. At baseline, the parameters of NLR (r = 0.124, P = 0.003), MLR (r = 0.153, P < 0.001), MHR (r = 0.217, P < 0.001) and SII (r = 0.141, P = 0.001) had a positive correlation with PASI in psoriasis patients. At the same time, we analyzed the patients who received different systemic therapy. We observed a significant decrease in NLR, PLR, MLR, and SII in psoriasis patients after treatment. Notably, TNF-α inhibitors and IL-17A inhibitors subgroups showed a more significant reduction than IL-23/IL-12/23 inhibitors and MTX medication. Additionally, we found the change of NLR (r = 0.194, P < 0.001), PLR (r = 0.104, P = 0.014), MLR (r = 0.191, P < 0.001), MHR (r = 0.106, P = 0.012), and SII (r = 0.228, P < 0.001) had a positive correlation with the change of PASI in psoriasis patients. In conclusion, this study suggests that NLR, MLR, and SII may serve as useful biomarkers for assessing systemic inflammation extent and disease severity in psoriasis patients.
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Affiliation(s)
- Ying Zhang
- The Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Changsha, Hunan, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Changsha, Hunan, China
| | - Hua Qian
- The Department of Dermatology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Ye-Hong Kuang
- The Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Changsha, Hunan, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Changsha, Hunan, China
| | - Ying Wang
- The Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Changsha, Hunan, China
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Changsha, Hunan, China
| | - Wang-Qing Chen
- The Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Changsha, Hunan, China.
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Changsha, Hunan, China.
| | - Wu Zhu
- The Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Changsha, Hunan, China.
- Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Changsha, Hunan, China.
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He Q, Wei C, Cao L, Zhang P, Zhuang W, Cai F. Blood cell indices and inflammation-related markers with kidney cancer risk: a large-population prospective analysis in UK Biobank. Front Oncol 2024; 14:1366449. [PMID: 38846978 PMCID: PMC11153768 DOI: 10.3389/fonc.2024.1366449] [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: 01/23/2024] [Accepted: 05/01/2024] [Indexed: 06/09/2024] Open
Abstract
Background Kidney cancer is a prevalent malignancy with an increasing incidence worldwide. Blood cell indices and inflammation-related markers have shown huge potential as biomarkers for predicting cancer incidences, but that is not clear in kidney cancer. Our study aims to investigate the correlations of blood cell indices and inflammation-related markers with kidney cancer risk. Methods We performed a population-based cohort prospective analysis using data from the UK Biobank. A total of 466,994 participants, free of kidney cancer at baseline, were included in the analysis. The hazard ratios (HRs) and 95% confidence intervals (CIs) for kidney cancer risk were calculated using Cox proportional hazards regression models. Restricted cubic spline models were used to investigate nonlinear longitudinal associations. Stratified analyses were used to identify high-risk populations. The results were validated through sensitivity analyses. Results During a mean follow-up of 12.4 years, 1,710 of 466,994 participants developed kidney cancer. The Cox regression models showed that 13 blood cell indices and four inflammation-related markers were associated with kidney cancer incidence. The restricted cubic spline models showed non-linear relationships with kidney cancer. Finally, combined with stratified and sensitivity analyses, we found that the mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), platelet distribution width (PDW), systemic immune-inflammation index (SII), and product of platelet count and neutrophil count (PPN) were related to enhanced kidney cancer risk with stable results. Conclusion Our findings identified that three blood cell indices (MCHC, RDW, and PDW) and two inflammation-related markers (SII and PPN) were independent risk factors for the incidence of kidney cancer. These indexes may serve as potential predictors for kidney cancer and aid in the development of targeted screening strategies for at-risk individuals.
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Affiliation(s)
- Qingliu He
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chengcheng Wei
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Cao
- Department of Orthopaedic, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Pu Zhang
- Department of Urology, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Zhuang
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Fangzhen Cai
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
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Cheng Y, Zhu H, Liu C, Li L, Lin F, Guo Y, Gu C, Sun D, Gao Y, He G, Sun S, Xue S. Systemic immune-inflammation index upon admission correlates to post-stroke cognitive impairment in patients with acute ischemic stroke. Aging (Albany NY) 2024; 16:8810-8821. [PMID: 38771141 PMCID: PMC11164514 DOI: 10.18632/aging.205839] [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: 11/27/2023] [Accepted: 04/09/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND The purpose of this prospective study was to evaluate the association of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI), with PSCI in patients with acute ischemic stroke (AIS). METHODS First-onset AIS patients were consecutively included from January 1, 2022 to March 1, 2023. The baseline information was collected at admission. Fasting blood was drawn the next morning. Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA) 3 months after onset. Logistic regression analysis was performed to explore the correlation between SII, SIRI, and PSCI. Receiver operating characteristic (ROC) was conducted to evaluate the predictive ability of SII. RESULTS 332 participants were recruited, and 193 developed PSCI. Compared with patients without PSCI, the patients with PSCI had higher SII (587.75 (337.42, 988.95) vs. 345.66 (248.44, 572.89), P<0.001) and SIRI (1.59 (0.95, 2.84) vs. 1.02 (0.63, 1.55), P=0.007). SII and SIRI negatively correlated with MoCA scores (both P<0.05). The multivariable logistic regression analysis indicated that SII was independently associated with PSCI (P<0.001), while SIRI was not. The optimal cutoff for SII to predict PSCI was 676.83×109/L. CONCLUSIONS A higher level of SII upon admission was independently correlated to PSCI three months later in AIS patients.
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Affiliation(s)
- Yongqing Cheng
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu, China
| | - Honghong Zhu
- Department of Rheumatology and Immunology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Changxia Liu
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Lei Li
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Fangjia Lin
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Yan Guo
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Cong Gu
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Dingming Sun
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Yang Gao
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Guojun He
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Shifu Sun
- Department of Neurology, The Yancheng Clinical College of Xuzhou Medical University, The First People’s Hospital of Yancheng, Yancheng 224000, Jiangsu, China
| | - Shouru Xue
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu, China
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Chen S, Xiao J, Cai W, Lu X, Liu C, Dong Y, Zheng Y, Song G, Sun Q, Wang H, Xiao Z. Association of the systemic immune-inflammation index with anemia: a population-based study. Front Immunol 2024; 15:1391573. [PMID: 38799419 PMCID: PMC11116595 DOI: 10.3389/fimmu.2024.1391573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/29/2024] [Indexed: 05/29/2024] Open
Abstract
Background Inflammation has been reported to be related to anemia. As a novel inflammatory marker, Systemic immune-inflammation index (SII) has not been studied with Anemia. The aim of this study was to investigate the possible relationship between SII and anemia. Methods This retrospective cross-sectional survey was conducted using data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) population. In total, 19851 American adults aged ≥18 years were included. SII was calculated as the platelet count×neutrophil count/lymphocyte count. Anemia was defined as hemoglobin (Hgb) levels of < 13 g/dL in males and < 12 g/dL in females. Logistic regression analyses, subgroup analyses and sensitivity analyses were performed to investigate the relationship between SII and anemia. Results Our study included a total of 19851 patients, of which 1501 (7.6%) had anemia. After adjusting for all covariates, the multivariate logistic regression analysis showed that a higher SII (In-transform) level was associated with increased likelihood of anemia (OR=1.51, 95% CI: 1.36-1.68, P<0.001). The association between SII and anemia exhibited a nonlinear manner. The positive correlation between SII and anemia was related to the severity of anemia. Subgroup analysis showed that there was no significant dependence on age, family income, body mass index, hypertension, kidney disease and cancer except gender on this positive association. Furthermore, sensitivity analyses confirmed the robustness of our results. Conclusion Our study demonstrated that SII was positively associated with anemia especially among female participants. And this positive correlation was related to the severity of anemia. Further large-scale prospective studies are still needed to analyze the role of SII in anemia.
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Affiliation(s)
- Shuying Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jigang Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Wenyu Cai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xulin Lu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Chenxi Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yan Dong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yingchun Zheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Qi Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Huijun Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zhijian Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- StateTianjin Institutes of Health Science, Tianjin, China
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Ösken A, Polat F, Çakir B, Zengin A, Çalik AN, Ünal Dayi Ş, Çam N. Systemic immune inflammation index and its implication on in-stent restenosis among patients with acute coronary syndrome. Coron Artery Dis 2024; 35:209-214. [PMID: 38180335 DOI: 10.1097/mca.0000000000001325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
OBJECTIVE This study aims to assess the predictive value of the Systemic Immune Inflammation Index (SII) in determining in-stent restenosis (ISR) likelihood in patients with acute coronary syndrome (ACS) who have undergone percutaneous coronary intervention (PCI). METHODS The study enrolled 903 ACS patients undergoing PCI, categorized into ISR (+) and ISR (-) groups based on control coronary angiography results. Demographic, clinical, laboratory, and angiographic-procedural characteristics were systematically compared. RESULTS The ISR (+) group encompassed 264 individuals (29.2%), while the ISR (-) group comprised 639 individuals (70.8%). Patients had a mean age of 55.8 ± 10.2 years, with 69% being male. The ISR (+) group had higher diabetes and smoking prevalence and notably larger stent dimensions. Lab parameters showed significantly elevated creatinine, total cholesterol, red cell distribution width, white blood cell and neutrophil counts, SII index and C-reactive protein (CRP) in the ISR (+) group, while lymphocyte levels were lower. Binary logistic regression identified stent diameter (odds ratio [OR]: 0.598, 95% confidence interval [CI]: 0.383-0.935; P = 0.024), stent length (OR: 1.166, 95% CI: 1.132-1.200; P < 0.001), creatinine (OR: 0.366, 95% CI: 0.166-0.771; P = 0.003), CRP (OR: 1.075, 95% CI: 1.042-1.110; P = 0.031), and SII index (OR: 1.014, 95% CI: 1.001-1.023; P < 0.001) as independent ISR predictors. CONCLUSION The SII index exhibits potential as a predictive marker for ISR in ACS patients post-PCI, indicating systemic inflammation and heightened restenosis risk. Integrating the SII index into risk models could identify high-risk patients for targeted interventions.
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Affiliation(s)
- Altuğ Ösken
- Department of Cardiology, Health Sciences University Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Center, Istanbul, Turkey
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Zhu XF, Hu YQ, Dai ZC, Li XJ, Zhang J. Associations between trans fatty acids and systemic immune-inflammation index: a cross-sectional study. Lipids Health Dis 2024; 23:122. [PMID: 38678208 PMCID: PMC11055356 DOI: 10.1186/s12944-024-02109-w] [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: 01/22/2024] [Accepted: 04/15/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Previous studies have demonstrated that trans fatty acids (TFAs) intake was linked to an increased risk of chronic diseases. As a novel systemic inflammatory biomarker, the clinical value and efficacy of the systemic immune-inflammation index (SII) have been widely explored. However, the association between TFAs and SII is still unclear. Therefore, the study aims to investigate the connection between TFAs and SII in US adults. METHODS The study retrieved data from the National Health and Nutrition Examination Survey (NHANES) for the years 1999-2000 and 2009-2010. Following the exclusion of ineligible participants, the study encompassed a total of 3047 individuals. The research employed a multivariate linear regression model to investigate the connection between circulating TFAs and SII. Furthermore, the restricted cubic spline (RCS) model was utilized to evaluate the potential nonlinear association. Subgroup analysis was also conducted to investigate the latent interactive factors. RESULTS In this investigation, participants exhibited a mean age of 47.40 years, with 53.91% of them being female. Utilizing a multivariate linear regression model, the independent positive associations between the log2-transformed palmitelaidic acid, the log2 transformed-vaccenic acid, the log2-transformed elaidic acid, the log2-transformed linolelaidic acid, and the log2-transformed-total sum of TFAs with the SII (all P < 0.05) were noted. In the RCS analysis, no nonlinear relationship was observed between the log2-transformed palmitelaidic acid, the log2 transformed-vaccenic acid, the log2-transformed elaidic acid, the log2-transformed linolelaidic acid, the log2-transformed-total sum of TFAs and the SII (all P for nonlinear > 0.05). For the stratified analysis, the relationship between the circulating TFAs and the SII differed by the obesity status and the smoking status. CONCLUSIONS A positive association was investigated between three types of TFA, the sum of TFAs, and the SII in the US population. Additional rigorously designed studies are needed to verify the results and explore the potential mechanism.
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Affiliation(s)
- Xiao-Feng Zhu
- Department of Clinical Medicine, The Nanshan College of Guangzhou Medical University, Guangzhou, 511436, China
| | - Yu-Qi Hu
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Zhi-Cheng Dai
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China
| | - Xiu-Juan Li
- Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Jing Zhang
- Second Department of Infectious Disease, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 201100, China.
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Kurisu K, Osanai T, Morishima Y, Ito M, Uchino H, Sugiyama T, Fujimura M. Systemic immune-inflammation index in dural arteriovenous fistula: a feasible biomarker reflecting its clinical characteristics. Acta Neurochir (Wien) 2024; 166:180. [PMID: 38627314 DOI: 10.1007/s00701-024-06075-1] [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: 02/22/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE The systemic immune-inflammation index (SII), a marker of systemic inflammation, can be calculated using peripheral blood tests. Although the SII has been reported as a feasible biomarker in various cerebrovascular diseases, no studies have explored in dural arteriovenous fistula (DAVF). A retrospective cohort study was performed to test whether the SII reflects the clinical characteristics of DAVF and whether this index could serve as a feasible biomarker. METHODS This study included 28 patients who underwent endovascular treatment (39 sessions) for DAVF between 2014 and 2023. The SII was calculated using the following formula: platelet count multiplied by neutrophil count divided by lymphocyte count. We investigated the correlation between the SII and various clinical characteristics of DAVF, including symptom manifestation, and digital subtraction angiography findings. Additionally, we compared pre- and post-endovascular treatment changes in the SII. RESULTS A significantly higher SII was observed in patients with multiple lesions, clinical symptoms (particularly aggressive symptoms), pseudophelebitic pattern (PPP), and sinus occlusion. Multivariate regression analysis revealed that the presence of symptoms (coefficient 270.9, P = 0.021) and PPP (coefficient 272.4, P = 0.017) were independent factors contributing to SII elevation. Notably, following endovascular treatment, there was a significant decrease in the elevated SII in patients whose symptoms resolved (P = 0.039) and where the DAVF was angiographically cured (P = 0.012). CONCLUSION Elevation of the SII in patients with advanced DAVF and its decrease following endovascular treatment suggests that the SII reflects the disease condition and indicates its potential as a promising biomarker.
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Affiliation(s)
- Kota Kurisu
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan.
| | - Toshiya Osanai
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Yutaka Morishima
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Masaki Ito
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Haruto Uchino
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Taku Sugiyama
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
| | - Miki Fujimura
- Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Kita 15, Nishi 7, Kita-ku, Sapporo, Hokkaido, 060-8638, Japan
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Batman A, Ekici M, Menekse TS, Ciftciler R, Yazici D. Predictive Value of Nutrition and Inflammation-Related Indices on Prognosis in Type 2 Diabetes Mellitus Patients with Coronavirus Disease-2019. SISLI ETFAL HASTANESI TIP BULTENI 2024; 58:55-61. [PMID: 38808055 PMCID: PMC11128691 DOI: 10.14744/semb.2023.36699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/23/2023] [Accepted: 11/01/2023] [Indexed: 05/30/2024]
Abstract
Objectives This study aimed to demonstrate how the prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) help predict the severity and prognosis of patients with type 2 diabetes (T2DM) and coronavirus disease (COVID-19). Methods This retrospective cohort study included 501 T2DM patients (male, 42.1%; female, 57.9%) who were hospitalized due to COVID-19 between April 2020 and December 2020. The patients were divided into survivors and non-survivors. After comparing demographic and laboratory data between the groups, the correlation of PNI and SII with clinical and laboratory data was evaluated. Results The median (interquartile) ages of the non-survivor and survivor groups were 74 (15) and 69 (14) years, respectively, and the difference was significant (p<0.001). The PNI was significantly lower in the non-survivor group than in the survivor group (p<0.001). The SII was significantly higher in the non-survivor group than in the survivor group (p<0.001). PNI was negatively correlated with glucose levels (r=-0.115, p=0.011). If the cut-off PNI value of 29.1 was used, it had a sensitivity and specificity of 76.2% and 76.3%, respectively, in predicting the severity of the illness and the risk of death in T2DM patients. Conclusion Consequently, the PNI and SII levels are effective in predicting survival and disease severity in patients with COVID-19 and T2DM.
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Affiliation(s)
- Adnan Batman
- Department of Endocrinology and Metabolism, Koc University Faculty of Medicine, Istanbul, Türkiye
| | - Mustafa Ekici
- Department of Rheumatology, Hacettepe University Faculty of Medicine, Ankara, Türkiye
| | - Tugba Sanalp Menekse
- Department of Emergency Medicine, Aksaray Training and Research Hospital, Aksaray, Türkiye
| | - Rafiye Ciftciler
- Department of Hematology, Selcuk University Faculty of Medicine, Konya, Türkiye
| | - Dilek Yazici
- Department of Endocrinology and Metabolism, Koc University Faculty of Medicine, Istanbul, Türkiye
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Liu G, Qian H, Wang L, Wu W. Systemic Immune-Inflammation Index and Its Association with the Prevalence of Stroke in the United States Population: A Cross-Sectional Study Using the NHANES Database. Rev Cardiovasc Med 2024; 25:130. [PMID: 39076553 PMCID: PMC11264029 DOI: 10.31083/j.rcm2504130] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 07/31/2024] Open
Abstract
Background The purpose of this study was to evaluate the ability of the systemic immune-inflammation index (SII) to predict the prevalence of stroke in the American population. Methods A cross-sectional research study of 53,600 people was carried out utilizing information from the U.S. National Health and Nutrition Examination Survey (NHANES) database. Participants were divided into three groups based on the tertiles of their SII levels: SII-low, SII-median, and SII-high. Logistic regression analysis was used to investigate SII and the prevalence of stroke. Subgroup analyses, sensitivity analyses, and restricted cubic spline (RCS) analysis were also carried out. Results A total of 2368 patients with stroke were found among the participants in this cross-sectional study. The high SII group had a substantially greater prevalence of stroke compared to the low SII group (odds ratio [OR] = 1.18, 95% confidence interval [CI] 1.01, 1.42). The risk of stroke decreased by 34% for every unit rise in log-transformed SII (OR 1.30, 95% CI 0.99, 1.70). A positive linear connection between SII levels and the prevalence of stroke was revealed using RCS analysis (p for non-linearity = 0.387). Conclusions This cross-sectional study utilizing large-scale data from NHANES provides the first evidence of a significant association between higher SII levels and increased prevalence of stroke. These findings highlight the relevance of SII as a potential predictive marker for stroke.
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Affiliation(s)
- Guangcheng Liu
- Department of Cardiology Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100006 Beijing, China
| | - Hao Qian
- Department of Cardiology Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100006 Beijing, China
| | - Liang Wang
- Department of Cardiology Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100006 Beijing, China
| | - Wei Wu
- Department of Cardiology Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100006 Beijing, China
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Zhao X, Li J, Li X. Association between systemic immune-inflammation index and psoriasis: a population-based study. Front Immunol 2024; 15:1305701. [PMID: 38504983 PMCID: PMC10948528 DOI: 10.3389/fimmu.2024.1305701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/21/2024] [Indexed: 03/21/2024] Open
Abstract
Background The systemic immune-inflammation index (SII),as measured by lymphocyte, neutrophil and platelet counts in peripheral blood, is regarded as a favorable indicator of both inflammatory state and immune response. Psoriasis is an immune-mediated disease notable for its chronic inflammation of the entire system. Our research sought to explore the latent link between psoriasis and SII. Methods We performed a cross-sectional investigation utilizing data extracted from the National Health and Nutrition Examination Survey (NHANES, 2009-2014). Employing multivariate linear regression models and subgroup analysis, we sought to uncover the association between SII and psoriasis. Results This study enrolled a total of 17,913 participants as part of its research cohort. Our multivariate linear regression analysis revealed a notable and positive correlation between SII and psoriasis [1.013 (1.000, 1.026)]. As SII tertiles increased, the risk of psoriasis demonstrated an upward trend. The significant dependence on this positive association were maintained in women, BMI(≥ 30 kg/m2),non-stroke and non-cancer subjects in subgroup analysis and interaction tests. Furthermore, we identified a significant association between SII and psoriasis, characterized by two consecutive inverted U-shaped patterns. Notably, the analysis revealed the most prominent inflection point at a specific value of 797.067. Conclusions The results indicate a significant correlation between elevated SII levels and the presence of psoriasis. However, to corroborate and strengthen these results, additional large-scale prospective studies are required.
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Affiliation(s)
- Xiya Zhao
- Ninth Clinical College of Medicine, Shanxi Medical University, Taiyuan, China
- Department of Dermatology, Taiyuan Central Hospital, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Stem Cells for Immunologic Skin Diseases, Taiyuan Central Hospital, Taiyuan, China
| | - Junqin Li
- Department of Dermatology, Taiyuan Central Hospital, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Stem Cells for Immunologic Skin Diseases, Taiyuan Central Hospital, Taiyuan, China
| | - Xinhua Li
- Department of Dermatology, Taiyuan Central Hospital, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Stem Cells for Immunologic Skin Diseases, Taiyuan Central Hospital, Taiyuan, China
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Baluku JB, Nalwanga R, Kazibwe A, Olum R, Nuwagira E, Mugenyi N, Mulindwa F, Bongomin F. Association between biomarkers of inflammation and dyslipidemia in drug resistant tuberculosis in Uganda. Lipids Health Dis 2024; 23:65. [PMID: 38429714 PMCID: PMC10905847 DOI: 10.1186/s12944-024-02063-7] [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: 12/23/2023] [Accepted: 02/27/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Active tuberculosis (TB) significantly increases the risk of cardiovascular disease, but the underlying mechanisms remain unclear. This study aimed to investigate the association between inflammation biomarkers and dyslipidemia in patients with drug-resistant TB (DR-TB). METHODS This was a secondary analysis of data from a cross-sectional multi-center study in Uganda conducted 2021. Participants underwent anthropometric measurements and laboratory tests included a lipid profile, full haemogram and serology for HIV infection. Dyslipidemia was defined as total cholesterol > 5.0 mmol/l and/or low-density lipoprotein cholesterol > 4.14 mmol/l, and/or triglycerides (TG) ≥ 1.7 mmol/l, and/or high density lipoprotein cholesterol (HDL-c) < 1.03 mmol/l for men and < 1.29 mmol/l for women. Biomarkers of inflammation were leukocyte, neutrophil, lymphocyte, monocyte, and platelet counts, as well as neutrophil/lymphocyte (NLR), platelet/lymphocyte, and lymphocyte/monocyte (LMR) ratios, mean corpuscular volume (MCV), and the systemic immune inflammation index (SII) (neutrophil × platelet/lymphocyte). Modified Poisson Regression analysis was used for determining the association of the biomarkers and dyslipidemia. RESULTS Of 171 participants, 118 (69.0%) were co-infected with HIV. The prevalence of dyslipidemia was 70.2% (120/171) with low HDL-c (40.4%, 69/171) and hypertriglyceridemia (22.5%, 38/169) being the most common components. Patients with dyslipidemia had significantly higher lymphocyte (P = 0.008), monocyte (P < 0.001), and platelet counts (P = 0.014) in addition to a lower MCV (P < 0.001) than those without dyslipidemia. Further, patients with dyslipidemia had lower leucocyte (P < 0.001) and neutrophil (P = 0.001) counts, NLR (P = 0.008), LMR (P = 0.006), and SII (P = 0.049). The MCV was inversely associated with low HDL-C (adjusted prevalence ratio (aPR) = 0.97, 95% CI 0.94-0.99, P = 0.023) but was positively associated with hypertriglyceridemia (aPR = 1.04, 95% CI 1.00-1.08, P = 0.052). CONCLUSIONS Individuals with dyslipidemia exhibited elevated lymphocyte, monocyte, and platelet counts compared to those without. However, only MCV demonstrated an independent association with specific components of dyslipidemia. There is need for further scientific inquiry into the potential impact of dyslipidemia on red cell morphology and a pro-thrombotic state among patients with TB.
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Affiliation(s)
- Joseph Baruch Baluku
- Kiruddu National Referral Hospital, Kampala, Uganda
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
- Makerere University Lung Institute, Kampala, Uganda
| | | | | | - Ronald Olum
- School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Edwin Nuwagira
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Nathan Mugenyi
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | | | - Felix Bongomin
- Department of Medical Microbiology and Immunology, Faculty of Medicine, Gulu University, Gulu, Uganda
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Marongiu F, Barcellona D. Why Does Rivaroxaban Not Work in Severe Mitral Stenosis? Semin Thromb Hemost 2024; 50:303-306. [PMID: 37160162 DOI: 10.1055/s-0043-1768938] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Affiliation(s)
- Francesco Marongiu
- Haemostasis and Thrombosis Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Fondazione Arianna Anticoagulazione, Bologna, Italy
| | - Doris Barcellona
- Haemostasis and Thrombosis Unit, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Akkaya S, Cakmak U. Association between pan-immune-inflammation value and coronary slow flow phenomenon in patients with angiographically normal coronary arteries. Int J Cardiol 2024; 398:131631. [PMID: 38048881 DOI: 10.1016/j.ijcard.2023.131631] [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: 10/27/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023]
Abstract
INTRODUCTION Coronary slow flow phenomenon (CSFP) is characterized by the delayed contrast filling of terminal vessels of coronary arteries in the presence of normal or nearly normal epicardial coronary arteries. Given that inflammation plays a role in cardiovascular disorders, including CSFP, using peripheral blood-derived compound prognostic indexes could be a feasible way to predict the presence of CSFP. Therefore, in the present study, we evaluated the association between pan-immune-inflammation value (PIV) and the CSFP. METHODS This single-center, retrospective study was composed of 612 patients aged over 18 years who underwent CAG for suspected stable ischemic heart disease. The association of clinical and laboratory parameters with the CSFP was evaluated with univariate and multivariate analyses. RESULTS The median age of the patients was 54 (IQR 46-63) and 61.3% of the patients were male. The 12.6% (84/612) of the patients had CSFP, while the coronary flow was normal in the remaining 87.4% of patients. The PIV levels had moderate success for the prediction of the CSFP (AUC: 0.675, 95% CI: 0.615-0.735, p < 0.001). In multivariate analyses, male gender (OR: 4.858, 95% CI: 2.851-8.277, p < 0.001), presence of diabetes (OR: 2.672, 95% CI: 1.396-5.113, p = 0.003), lower HDL-C values (OR: 2.120, 95% CI: 1.286-3.496, p = 0.003), and higher PIV levels (OR: 2.527, 95% CI: 1.519-4.203, p < 0.001) were associated with a higher risk of CSFP. CONCLUSION We demonstrated that a higher risk of CSFP in patients with PIV levels. If supported by prospective evidence, PIV levels could be used as a minimally invasive reflector of CSFP.
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Affiliation(s)
- Suleyman Akkaya
- Department of Cardiology, Health Sciences University, Gazi Yasargil Research and Training Hospital, Diyarbakir, Turkey.
| | - Umit Cakmak
- Department of Nephrology, Health Sciences University, Gazi Yasargil Research and Training Hospital, Diyarbakir, Turkey
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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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Chi X, Zhang N, Fan F, Jia J, Zheng J, Liu L, Song Y, Wang B, Tang G, Qin X, Huo Y, Li J. Systemic immune-inflammation index predicts first stroke and affects the efficacy of folic acid in stroke prevention. Heliyon 2024; 10:e24837. [PMID: 38314266 PMCID: PMC10837552 DOI: 10.1016/j.heliyon.2024.e24837] [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: 09/22/2022] [Revised: 01/04/2024] [Accepted: 01/15/2024] [Indexed: 02/06/2024] Open
Abstract
Background Systemic immune-inflammation index (SII) is a novel biomarker of growing interest in predicting stroke. The aim of this study was to investigate its predictive value and explore its effect modification on folic acid supplement for stroke primary prevention in a Chinese population with hypertension. Methods A total of 10,013 participants from the China Stroke Primary Prevention Trial with available neutrophil, platelet and lymphocyte count were included, including 5,019 subjects in the enalapril group and 4,994 in the enalapril-folic acid group. SII was calculated as (platelet × neutrophil)/lymphocyte. The primary endpoint was first stroke. Cox proportional hazards models were used to evaluate the association between SII and first stroke. Results A U-shape association between SII and first stroke risk was observed in enalapril group. Compared with the reference group (Quartile 2: 335.1 to <443.9 × 109 cell/L), the adjusted HRs were 1.68 (95 % CI: 1.06-2.66, P = 0.027) in Quartile 1 (<335.1 × 109 cell/L), 1.43 (95 % CI: 0.90-2.27, P = 0.126) in Quartile 3 (443.9 to <602.6 × 109 cell/L), and 1.61 (95 % CI: 1.03-2.51, P = 0.035) in Quartile 4 (≥602.6 × 109 cell/L). There was no significant association between SII and first stroke in the enalapril-folic acid group, with adjusted HR of 0.92 (95%CI: 0.54-1.56, P = 0.749) in Quartile 1(<334.7 × 109 cell/L), 1.36 (95%CI: 0.84-2.21, P = 0.208) in Quartile 3 (446.2 to <595.2 × 109 cell/L), and 1.41 (95%CI: 0.87-2.27, P = 0.163) in Quartile 4 (≥595.2 × 109 cell/L). A remarkable interaction between baseline SII and folic acid supplement for stroke prevention was observed, with particularly reduced risk by 44 % (HR: 0.56; 95 % CI: 0.34-0.90; P = 0.018) in the lowest SII group (P for interaction = 0.041). Conclusions Among Chinese adults with hypertension, both low and high SII at baseline predicted increased first stroke risk. And compensatory folic acid particularly reduced first stroke risk in the lowest SII subgroup.
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Affiliation(s)
- Xiying Chi
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
- Institute of Cardiovascular Disease, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Nan Zhang
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
- Institute of Cardiovascular Disease, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
- Institute of Cardiovascular Disease, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
- Institute of Cardiovascular Disease, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Jianhang Zheng
- Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Lishun Liu
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Yun Song
- Shenzhen Evergreen Medical Institute, Shenzhen, China
- Institute for Biomedicine, Anhui Medical University, Hefei, China
- AUSA Research Institute, Shenzhen AUSA Pharmed Co Ltd, Shenzhen, China
| | - Binyan Wang
- Institute for Biomedicine, Anhui Medical University, Hefei, China
| | - Genfu Tang
- School of Health Administration, Anhui Medical University, Hefei, 230000, China
| | - Xianhui Qin
- National Clinical Research Study Center for Kidney Disease, The State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
- Institute of Cardiovascular Disease, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
- Institute of Cardiovascular Disease, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
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