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Prudinnik DS, Kussanova A, Vorobjev IA, Tikhonov A, Ataullakhanov FI, Barteneva NS. Deformability of Heterogeneous Red Blood Cells in Aging and Related Pathologies. Aging Dis 2025:AD.2024.0526. [PMID: 39012672 DOI: 10.14336/ad.2024.0526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 06/19/2024] [Indexed: 07/17/2024] Open
Abstract
Aging is interrelated with changes in red blood cell parameters and functionality. In this article, we focus on red blood cells (RBCs) and provide a review of the known changes associated with the characterization of RBC deformability in aging and related pathologies. The biophysical parameters complement the commonly used biochemical parameters and may contribute to a better understanding of the aging process. The power of the deformability measurement approach is well established in clinical settings. Measuring RBCs' deformability has the advantage of relative simplicity, and it reflects the complex effects developing in erythrocytes during aging. However, aging and related pathological conditions also promote heterogeneity of RBC features and have a certain impact on the variance in erythrocyte cell properties. The possible applications of deformability as an early biophysical biomarker of pathological states are discussed, and modulating PIEZO1 as a therapeutic target is suggested. The changes in RBCs' shape can serve as a proxy for deformability evaluation, leveraging single-cell analysis with imaging flow cytometry and artificial intelligence algorithms. The characterization of biophysical parameters of RBCs is in progress in humans and will provide a better understanding of the complex dynamics of aging.
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Affiliation(s)
- Dmitry S Prudinnik
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana 010000, Kazakhstan
| | - Aigul Kussanova
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana 010000, Kazakhstan
| | - Ivan A Vorobjev
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana 010000, Kazakhstan
| | - Alexander Tikhonov
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana 010000, Kazakhstan
| | - Fazly I Ataullakhanov
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Natasha S Barteneva
- Department of Biology, School of Sciences and Humanities, Nazarbayev University, Astana 010000, Kazakhstan
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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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Zhang LN, Lu AX, Lin Y, Li J, Xu X, Yan CH, Zhang L. Association between systemic inflammation markers and blood pressure among children and adolescents: National Health and Nutrition Examination Survey. Pediatr Res 2024:10.1038/s41390-024-03472-1. [PMID: 39154142 DOI: 10.1038/s41390-024-03472-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 06/13/2024] [Accepted: 07/13/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Few studies have estimated the associations of systemic inflammation markers and high blood pressure (HBP) in the pediatric population. METHODS Basing on data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, we assessed the associations between four inflammation-related factors based on blood cell counts: systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and risk for pediatric HBP by estimating odds ratios (ORs) using multivariable logistic regression models. RESULTS A total of 17,936 children aged 8-19 years were included in the analysis, representing about 36.7 million American children. The prevalence rates of elevated blood pressure (EBP) and hypertension (HTN) were 15.79% and 6.77%, respectively. The results showed that the ORs for EBP per standard deviation (SD) increment in SII and NLR were estimated at 1.11 [95% confidence interval (95%CI): 1.04, 1.17] and 1.08 (95%CI: 1.02, 1.15), respectively; and the OR for EBP per SD increment in LMP were estimated at 0.90 (95%CI: 0.83, 0.96). These associations were stronger in boys and younger children. CONCLUSIONS The study suggested that inflammation-related factors could serve as easily accessible early biomarkers for HBP risk prediction and prevention in children and adolescents. IMPACT The study suggested that inflammation-related factors could serve as easily accessible early biomarkers for HBP risk prediction and prevention in children and adolescents. This is the first study that demonstrates the close association between systemic inflammation markers and HBP in children and adolescents using nationally representative population data. The findings have more public health implications and support that systemic inflammation markers based on blood cell counts could serve as easily accessible biomarkers of HBP risk and prevention in earlier identification of the diseases.
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Affiliation(s)
- Li-Na Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - An-Xin Lu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Yin Lin
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Jing Li
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xi Xu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Chong-Huai Yan
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Lin Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
- Department of Labor Health and Environmental Hygiene, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
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Yan Y, Lu H, Zheng Y, Lin S. Association Between Systemic Immune Inflammation Index and Diabetes Mellitus in the NHANES 2003-2018 Population. J Endocr Soc 2024; 8:bvae124. [PMID: 38974989 PMCID: PMC11226779 DOI: 10.1210/jendso/bvae124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Indexed: 07/09/2024] Open
Abstract
Objects This study aimed to explore the association between the Systemic Immune-Inflammation Index (SII) and diabetes mellitus (DM) and to assess its influence on the prognosis of the DM and no-DM groups. Methods The study used data from the National Health and Nutrition Examination Survey; 9643 participants were included. Logistic regression analysis was employed to evaluate connections between SII and DM. We used the Cox proportional hazards model, restricted cubic spline, and Kaplan-Meier curve to analyze the relationship between SII and mortality. Results The logistic regression analysis indicated that a significant increase in the likelihood of developing DM with higher SII levels (odds ratio, 1.31; 95% CI, 1.09-1.57, P = .003). The Cox model showed that there is a positive association between increased SII and higher all-cause mortality. The hazard ratios for SII were 1.53 (1.31, 1.78), 1.61 (1.31, 1.98), and 1.41 (1.12, 1.78) in the total, DM and non-DM groups, respectively. We observed a linear correlation between SII and all-cause mortality in DM participants, whereas non-DM participants and the total population showed a nonlinear correlation. Conclusion Elevated SII levels are linked to an augmented risk of DM. Those with DM and higher SII levels demonstrated an elevated risk of mortality.
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Affiliation(s)
- Yufeng Yan
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
| | - Hongjing Lu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
| | - Yaguo Zheng
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
| | - Song Lin
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210008, Jiangsu, China
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Yan P, Yang Y, Zhang X, Zhang Y, Li J, Wu Z, Dan X, Wu X, Chen X, Li S, Xu Y, Wan Q. Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population. Front Endocrinol (Lausanne) 2024; 14:1307692. [PMID: 38239983 PMCID: PMC10795757 DOI: 10.3389/fendo.2023.1307692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024] Open
Abstract
Objective Systemic immune-inflammation index (SII), a novel inflammatory marker, has been reported to be associated with diabetic kidney disease (DKD) in the U.S., however, such a close relationship with DKD in other countries, including China, has not been never determined. We aimed to explore the association between SII and DKD in Chinese population. Methods A total of 1922 hospitalized patients with type 2 diabetes mellitus (T2DM) included in this cross-sectional study were divided into three groups based on estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR): non-DKD group, DKD stages 1-2 Alb group, and DKD-non-Alb+DKD stage 3 Alb group. The possible association of SII with DKD was investigated by correlation and multivariate logistic regression analysis, and receiver-operating characteristic (ROC) curves analysis. Results Moving from the non-DKD group to the DKD-non-Alb+DKD stage 3 Alb group, SII level was gradually increased (P for trend <0.01). Partial correlation analysis revealed that SII was positively associated with urinary ACR and prevalence of DKD, and negatively with eGFR (all P<0.01). Multivariate logistic regression analysis showed that SII remained independently significantly associated with the presence of DKD after adjustment for all confounding factors [(odds ratio (OR), 2.735; 95% confidence interval (CI), 1.840-4.063; P < 0.01)]. Moreover, compared with subjects in the lowest quartile of SII (Q1), the fully adjusted OR for presence of DKD was 1.060 (95% CI 0.773-1.455) in Q2, 1.167 (95% CI 0.995-1.368) in Q3, 1.266 (95% CI 1.129-1.420) in the highest quartile (Q4) (P for trend <0.01). Similar results were observed in presence of DKD stages 1-2 Alb or presence of DKD-non- Alb+DKD stage 3 Alb among SII quartiles. Last, the analysis of ROC curves revealed that the best cutoff values for SII to predict DKD, Alb DKD stages 1- 2, and DKD-non-Alb+ DKD stage 3 Alb were 609.85 (sensitivity: 48.3%; specificity: 72.8%), 601.71 (sensitivity: 43.9%; specificity: 72.3%), and 589.27 (sensitivity: 61.1%; specificity: 71.1%), respectively. Conclusion Higher SII is independently associated with an increased risk of the presence and severity of DKD, and SII might be a promising biomarker for DKD and its distinct phenotypes in Chinese population.
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Affiliation(s)
- Pijun Yan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Yuxia Yang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Xing Zhang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Yi Zhang
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Jia Li
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Zujiao Wu
- Department of Clinical Nutrition, Chengdu Eighth People’s Hospital (Geriatric Hospital of Chengdu Medical College), Chengdu, China
| | - Xiaofang Dan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Xian Wu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Xiping Chen
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Shengxi Li
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Yong Xu
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
| | - Qin Wan
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
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Hassan AA, Musa SM, Omer HEO, Adam I. The association between red cell distribution width and newly diagnosed hypertension among adults in Northern Sudan: a case-control study. Libyan J Med 2023; 18:2254502. [PMID: 37665970 PMCID: PMC10478621 DOI: 10.1080/19932820.2023.2254502] [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: 05/12/2023] [Accepted: 08/29/2023] [Indexed: 09/06/2023] Open
Abstract
The existing data have shown inconsistency about the association between red cell distribution width (RDW) and hypertension. Thus, the aim of the present study was to investigate the association between RDW and newly diagnosed hypertension among adults in Sudan. This was a case-control study conducted in Northern Sudan from July to September 2022. The cases were patients with newly diagnosed hypertension (n = 78), and the controls were healthy participants (n = 78). A questionnaire was used to collect the participants' sociodemographic, and clinical data. RDW was measured using an automated hematology analyzer. A logistic regression analysis was performed. The univariate analysis revealed no association between sex, educational level, occupational level, RDW, and newly diagnosed hypertension. In the multivariate analysis, increasing age (adjusted odds ratio [AOR], 1.05; 95% confidence interval [CI], 1.02‒1.08) and body mass index (AOR, 1.12; 95% CI, 1.05‒1.19) were associated with newly diagnosed hypertension. No association was found between RDW and newly diagnosed hypertension. No correlation was found between RDW and systolic (r = 0.045, P = 0.577) or diastolic blood pressure (r = 0.023, P = 0.772). In conclusion, no association in RDW was found between the patients with newly diagnosed hypertension and the healthy controls.
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Affiliation(s)
- Ahmed A. Hassan
- Faculty of Medicine, University of Khartoum, Khartoum, Sudan
| | - Shaza M. Musa
- Adjunct instructor- Biology, Tarrant County College Northwest Campus, Fort Worth, TX, USA
| | - Husam-Eldin O. Omer
- Department of Pathology, Faculty of Medicine, Jazan University, Jazan, Kingdom of Saudi Arabia
| | - Ishag Adam
- Department of Obstetrics and Gynecology, Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah, Kingdom of Saudi Arabia
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Hassan AA, Ahmed BE, Adam I. Red Cell Distribution Width and Prediabetes in Adults in Northern Sudan: A Case-Control Study. Hematol Rep 2023; 15:651-661. [PMID: 37987322 PMCID: PMC10660754 DOI: 10.3390/hematolrep15040066] [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: 09/12/2023] [Revised: 10/23/2023] [Accepted: 11/10/2023] [Indexed: 11/22/2023] Open
Abstract
Diabetes mellitus (DM) is a major public health issue worldwide. Red cell distribution width (RDW) has been reported to have predictive value in several diseases, including DM. Few data exist on the association between RDW and the prediabetic stage. Thus, the present study aimed to investigate the association between RDW and prediabetes in adults in Sudan. This case-control study was conducted in Northern Sudan in 2022. The cases (n = 107) were prediabetic patients categorized according to the level of glycated hemoglobin (HbA1c), which ranged from 5.7% to 6.4%, while the controls (n = 107) were healthy participants. A questionnaire was used to collect the data. Standard methods were used to measure the HbAIc level and RDW. Logistic regression analysis was performed. The median (interquartile range (IQR)) of the RDW was significantly higher in prediabetic patients than in the controls (14.5% [13.8-15.3%] vs. 14.1% [13.6-14.7%], p = 0.003). Sex, educational level, occupational status, marital status, cigarette smoking, alcohol consumption, family history of DM, and body mass index were not associated with prediabetes. In the multivariate-adjusted model, higher age and higher RDW were associated with prediabetes. A positive correlation was found between RDW and HbA1c levels (r = 0.19, p = 0.006). In conclusion, this study supports the use of RDW as a predictor of DM.
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Affiliation(s)
- Ahmed A. Hassan
- Faculty of Medicine, University of Khartoum, Khartoum 11115, Sudan;
| | | | - Ishag Adam
- Department of Obstetrics and Gynecology, Unaizah College of Medicine and Medical Sciences, Qassim University, Unaizah 56219, Saudi Arabia
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Li G, Yu J, Jiang S, Wu K, Xu Y, Lu X, Wang Y, Lin J, Yang X, Li Z, Mao H. Systemic Immune-Inflammation Index Was Significantly Associated with All-Cause and Cardiovascular-Specific Mortalities in Patients Receiving Peritoneal Dialysis. J Inflamm Res 2023; 16:3871-3878. [PMID: 37671129 PMCID: PMC10476662 DOI: 10.2147/jir.s426961] [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: 06/21/2023] [Accepted: 08/19/2023] [Indexed: 09/07/2023] Open
Abstract
Purpose The prognosis of patients receiving peritoneal dialysis (PD) is associated with inflammation. Systemic immune-inflammation index (SII) is one of inflammatory markers, and the role in predicting clinical outcomes in PD patients is unclear. We aimed to investigate the relationship between the SII and all-cause and cardiovascular-specific mortalities in patients undergoing PD. Patients and Methods A total of 1419 PD patients from the First Affiliated Hospital of Sun Yat-sen University between January 1, 2007 and December 31, 2019 were retrospectively included at baseline, and the patients were followed up until November 31, 2021. SII was calculated as platelet count×neutrophil count/lymphocyte count. Kaplan-Meier curves and Cox proportional hazards regression models were used to determine the relationship between SII levels and all-cause and cardiovascular-specific mortalities. Results During follow-up (median period was 42 months), 321 patients died (171 died of cardiovascular disease). With adjustment for the potential confounding factors, each 1-SD increase in the SII was associated with 20.2% increase in all-cause mortality (hazard ratio [HR]: 1.202, 95% confidence interval [CI]: 1.088-1.327, P<0.001) and 28.0% increase in cardiovascular-specific mortality (HR: 1.280, 95% CI: 1.126-1.456, P<0.001). High SII (vs low SII) was significantly associated with increased risks of all-cause mortality (HR: 1.391, 95% CI: 1.066-1.815, P-value: 0.015) and cardiovascular-specific mortality (HR: 1.637, 95% CI: 1.185-2.261, P-value: 0.003). Subgroups analyses showed similar results for those younger than 65-year-old only. Conclusion Elevated SII level was independently associated with increased risks of all-cause and cardiovascular-specific mortalities in PD patients, especially for those younger than 65-year-old.
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Affiliation(s)
- Guanglan Li
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Jing Yu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Simin Jiang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Kefei Wu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Yiping Xu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Xiaohui Lu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Yating Wang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Jianxiong Lin
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Xiao Yang
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
| | - Zhibin Li
- Epidemiology Research Unit, Translational Medicine Research Center, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, China
| | - Haiping Mao
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
- NHC Key Laboratory of Clinical Nephrology (Sun Yat-sen University) and Guangdong Provincial Key Laboratory of Nephrology, Guangzhou, 510080, China
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Cevher Akdulum MF, Demirdağ E, Arık Sİ, Safarova S, Erdem M, Bozkurt N, Erdem A. Is the First-Trimester Systemic Immune-Inflammation Index Associated With Preeclampsia? Cureus 2023; 15:e44063. [PMID: 37746374 PMCID: PMC10517744 DOI: 10.7759/cureus.44063] [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] [Accepted: 08/14/2023] [Indexed: 09/26/2023] Open
Abstract
OBJECTIVE Preeclampsia (PE) is a serious and common pregnancy issue. There is a systemic inflammation in PE and it is accompanied by increased oxidative stress, but the clear etiology has not been revealed. We aimed to predict PE with the systemic immune-inflammation index (SII) value calculated in the first trimester. MATERIAL AND METHODS This is a retrospective study. One hundred fifty-seven pregnant women were included in the study. Twenty-seven pregnant women were excluded from the study. Age, gravida, parity, and hemogram values were recorded in the patients' first visit file records. The time and mode of delivery, birth weight, and APGAR scores were obtained from the file records of the patients. SII was created using the formula (neutrophil x platelet/lymphocyte). Result: The study group included 30 pregnant women who had been diagnosed with PE. The control group consisted of the remaining 100 pregnant women. There was a statistically significant difference between PE and control groups in terms of SII (p=0.03). The SII level cut-off value for predicting PE was determined to be 836.83. This value's area was found to be 0.635 (0.519-0.752). Furthermore, the selectivity is 0.60 and the sensitivity is 0.40 for these values. Conclusion: SII was found to be significantly higher in people with PE in the study. We showed that the SII value measured in the first trimester can be used to predict PE. It might make sense to combine this marker with the patient's history and other risk factors due to its low selectivity and sensitivity.
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Affiliation(s)
| | | | | | | | - Mehmet Erdem
- Obstetrics and Gynecology, Gazi University, Ankara, TUR
| | - Nuray Bozkurt
- Obstetrics and Gynecology, Gazi University, Ankara, TUR
| | - Ahmet Erdem
- Obstetrics and Gynecology, Gazi University, Ankara, TUR
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10
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Nicoară DM, Munteanu AI, Scutca AC, Mang N, Juganaru I, Brad GF, Mărginean O. Assessing the Relationship between Systemic Immune-Inflammation Index and Metabolic Syndrome in Children with Obesity. Int J Mol Sci 2023; 24:ijms24098414. [PMID: 37176120 PMCID: PMC10179406 DOI: 10.3390/ijms24098414] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023] Open
Abstract
Childhood obesity represents a worldwide concern as many countries have reported an increase in its incidence, with possible cardiovascular long-term implications. The mechanism that links cardiovascular disease to obesity is related to low-grade inflammation. We designed this study to investigate the diagnostic utility of inflammatory indices (NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; SII, systemic immune-inflammation index; SIRI, systemic inflammation response index) in obese children with metabolic syndrome (MetS) and their relationship with cardiometabolic risk biomarkers, such as the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), triglyceride-to-high-density lipoprotein cholesterol (TG:HDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C). A total of 191 obese children from one large Romanian reference center was included in the study. Patients were classified in two groups according to the presence (MetS group) or absence (non-MetS group) of metabolic syndrome. According to our results, the SII index proved to have diagnostic value in distinguishing MetS patients among children with obesity (AUC = 0.843, a sensitivity of 0.83, and a specificity of 0.63). Furthermore, the SII was positively associated with cardiometabolic risk biomarkers (HOMA-IR, p < 0.001; TG:HDL-C, p = 0.002; non-HDL-C, p = 0.021), highlighting its possible role as an additional measure of cardiometabolic instability in obese children.
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Affiliation(s)
- Delia-Maria Nicoară
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
| | - Andrei-Ioan Munteanu
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
| | - Alexandra-Cristina Scutca
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
| | - Niculina Mang
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
| | - Iulius Juganaru
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
- Department XI Pediatrics, Discipline I Pediatrics, Disturbances of Growth and Development in Children-BELIVE, 300011 Timisoara, Romania
| | - Giorgiana-Flavia Brad
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
| | - Otilia Mărginean
- Department of Pediatrics, University of Medicine and Pharmacy "Victor Babes", 300040 Timisoara, Romania
- Department of Pediatrics I, Children's Emergency Hospital "Louis Turcanu", 300011 Timisoara, Romania
- Department XI Pediatrics, Discipline I Pediatrics, Disturbances of Growth and Development in Children-BELIVE, 300011 Timisoara, Romania
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11
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Yang Y, Wang Q, Gao L, Liu S, Zhao J, Liu G, Zhang S. Promising applications of red cell distribution width in diagnosis and prognosis of diseases with or without disordered iron metabolism. Cell Biol Int 2023. [PMID: 37092585 DOI: 10.1002/cbin.12029] [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: 12/06/2022] [Revised: 04/02/2023] [Accepted: 04/12/2023] [Indexed: 04/25/2023]
Abstract
Many indicators, including red cell distribution width (RDW) and iron metabolism, are sensitive to a variety of risk factors, and are associated with the pathological alterations and disease onset. RDW reflects the degree of heterogeneous volumes of peripheral red blood cells (RBCs). It has been well-known that increased RDW indicates iron deficiency anemia, hemolytic anemia, ineffective erythropoiesis, and shorten lifespan of RBCs. Increased RDW is also prevalent in various non-anemic pathological conditions and diseases. We here review the factors affecting RDW, particularly disordered iron metabolism, chronic inflammation, and oxidative stress, and recapitulate the interplays among these factors. Furthermore, we review the application of increased RDW together with disordered iron homeostasis and the deregulations of hepcidin expression and ferritin levels in the diagnoses and prognosis of anemic and nonanemic diseases. RDW is inexpensive and readily available and may be valuable in adding to the diagnosis and monitoring of many pathological conditions. RDW combined with other indicators, for example, hepcidin and ferritin levels, should be utilized more frequently in clinical practice.
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Affiliation(s)
- Yashuang Yang
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, China
| | - Quanshu Wang
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University, Jinan, Shandong, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Ling Gao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, China
| | - Sijin Liu
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Jinan, Shandong, China
| | - Guoliang Liu
- Department of Pulmonary and Critical Care Medicine, Centre for Respiratory Diseases, National Center for Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Shuping Zhang
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University, Jinan, Shandong, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
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12
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Zhang P, Wang S, Wu JZ, Song Q. Clinical and prognostic significance of perioperative change in red cell distribution width in patients with esophageal squamous cell carcinoma. BMC Cancer 2023; 23:319. [PMID: 37024853 PMCID: PMC10080779 DOI: 10.1186/s12885-023-10804-7] [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: 10/24/2022] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
BACKGROUND Numerous studies have reported the prognostic significance of the red cell distribution width (RDW) in patients with esophageal squamous cell carcinoma (ESCC), but the relationship between the perioperative change in RDW (delta RDW) and survival in patients with ESCC after surgery has not been evaluated. METHODS A total of 594 patients with newly diagnosed ESCC after surgery were enrolled in the study. Delta RDW (delta RDW = Postoperative RDW-Preoperative RDW) was counted based on data within one week before surgery and two weeks after surgery. To investigate the relationship between delta RDW and overall survival (OS), the median delta RDW was chosen as the cut-off value. RESULTS 99 (16.7%) patients had pathological stage 1a-1b, 202 (34.0%) patients had pathological stage 2a-2b, and 293 (49.3%) patients had pathological stage 3a-3c.There were 179 (30.1%) patients who had vessel invasive, and 415 (69.9%) patients without vessel invasive. There were 216 (36.4%) patients with nerve infiltration, and 378 (63.6%) without nerve infiltration. In univariate analysis, five parameters including delta RDW(≥ 0.44 vs.<0.44) (P = 0.039, HR = 1.337, 95% CI = 1.014-1.762) significantly correlated with worse OS. Multivariate analysis revealed that delta RDW(≥ 0.44 vs.<0.44) was an independent prognostic marker for OS (P = 0.033, HR = 1.356, 95% CI = 1.025-1.793). Kaplan-Meier curves showed that delta RDW ≥ 0.44 was significantly associated with worse OS (P = 0.039). Subgroup analysis suggested that delta RDW ≥ 0.44 indicated worse survival in patients with ESCC exclusively in these subtypes such as female patients, age > 60 patients, patients with lymph node metastasis, and patients with vessel invasive. CONCLUSIONS Perioperative change in red cell distribution width predicts worse survival in patients with ESCC after surgery.
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Affiliation(s)
- Peng Zhang
- Department of Radiology Physics, Key Laboratory of Radiation Oncology of Zhejiang Province, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Sheng Wang
- Department of Clinical Laboratory, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Jun-Zhou Wu
- Cancer Research Institute, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Qian Song
- Department of Clinical Laboratory, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
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13
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Sun X, Liu Y, Liu Y, Wang H, Liu B, Shi L. Association between red blood cell distribution width and left ventricular hypertrophy in pediatric essential hypertension. Front Pediatr 2023; 11:1088535. [PMID: 36816384 PMCID: PMC9932496 DOI: 10.3389/fped.2023.1088535] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
AIM Left ventricular hypertrophy (LVH) is one of the most common types of target organ damage in hypertension. The red blood cell distribution width (RDW) is closely related to many cardiovascular diseases, including hypertension. The aim of this study was to analyze the relationship between the RDW level and LVH in pediatric essential hypertension. MATERIALS AND METHODS A total of 429 untreated children and adolescents with essential hypertension were recruited and divided into an LVH group (n = 114) and non-LVH group (n = 315) according to left ventricular mass index (LVMI) and relative wall thickness (RWT) by color Doppler ultrasound. Spearman correlation analysis was used to determine the relationship between RDW and LVMI, RWT. The effect of RDW on LVH was determined using a multivariate logistic regression analysis. To assess the predictive value of RDW on LVH, the receiver operating characteristic (ROC) curve was used. RESULTS The level of RDW in children with hypertension in the LVH group was significantly higher than that in the non-LVH group (13.0 [12.0, 13.0] vs. 12.4 [12.0, 13.0] %, P = 0.001). The incidence of low and high quantiles of LVH was 21.0% and 32.0%, respectively. Spearman correlation analysis showed that RDW was positively correlated with C-reactive protein (CRP), LVMI, RWT, and red blood cell (RBC) count (P all < 0.05), and negatively correlated with hemoglobin (HGB) level, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) (P all < 0.05). After adjusting for various confounding factors, a multivariate logistic regression model revealed that RDW was an independent risk factor for LVH (OR = 1.946, 95% CI: 1.324-2.861, P = 0.001). The area under the ROC curve of RDW predicting centripetal hypertrophy was 0.700 (95% CI: 0.541-0.859, P < 0.05) in pediatric essential hypertension. CONCLUSIONS Increased RDW levels are an independent risk factor for LVH in pediatric essential hypertension, and RDW may be a predictor of LVH in untreated pediatric essential hypertension.
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Affiliation(s)
- Xiaodong Sun
- Capital Institute of Pediatrics, Beijing, China.,Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Yang Liu
- Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Yanyan Liu
- Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Hui Wang
- Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Bo Liu
- Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Lin Shi
- Capital Institute of Pediatrics, Beijing, China.,Department of Cardiology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
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