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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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Zhao N, Hao T, Zhang F, Ni Q, Zhu D, Wang Y, Shi Y, Mi X. Application of machine learning techniques in the diagnosis of endometriosis. BMC Womens Health 2024; 24:491. [PMID: 39237940 PMCID: PMC11375848 DOI: 10.1186/s12905-024-03334-2] [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: 06/17/2024] [Accepted: 08/26/2024] [Indexed: 09/07/2024] Open
Abstract
OBJECTIVE The aim of this study is to assess the use of machine learning methodologies in the diagnosis of endometriosis (EM). METHODS This study included a total of 106 patients with EM and 203 patients with non-EM conditions (like simple cysts and simple uterine fibroids), all admitted to the Shunyi Women's and Children's Hospital of Beijing Children's Hospital between January 2017 and September 2022. All participants were free of comorbidities and their diagnoses were confirmed via postoperative pathology. Comparative analysis was conducted between the EM and non-EM groups. Baseline data were assessed, including white blood cell count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, mean platelet volume, hemoglobin, carbohydrate antigen 125 (CA125), carbohydrate antigen 199, coagulation parameters, and other serologic indicators. An optimal predictive model was developed using an artificial intelligence algorithm to determine the presence of EM. The objective is to provide new insights for the clinical diagnosis and treatment of EM. RESULTS The random forest algorithm demonstrated superior performance when compared to decision trees, LogitBoost, artificial neural networks, naïve Bayes, support vector machines, and linear regression in machine learning methods. Combining CA125 with the NLR yielded a better prediction of EM than using CA125 alone when applying the random forest algorithm. The accuracy of predicting EM with CA125 combined with NLR was 78.16%, with a sensitivity of 86.21% and an area under the curve (AUC) of 0.85 (P < 0.05). In contrast, using CA125 alone resulted in an EM prediction accuracy of 75.8%, with a sensitivity of 79.3% and an AUC of 0.82 (P < 0.05). CONCLUSION The diagnostic value of serum CA125 combined with the NLR for EM is higher than that of serum CA125 alone. This finding indicates that NLR could serve as a new supplementary biomarker along with serum CA125 in the diagnosis of EM.
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Affiliation(s)
- Ningning Zhao
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Ting Hao
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Fengge Zhang
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Qin Ni
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Dan Zhu
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Yanan Wang
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Yali Shi
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China
| | - Xin Mi
- Department of Obstetrics and Gynecology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital, No. 1 of shun Hong Road, Shunyi District, Beijing, 101300, China.
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Zinellu A, Paliogiannis P, Mangoni AA. A systematic review and meta-analysis of the diagnostic accuracy of the neutrophil-to-lymphocyte ratio and the platelet-to-lymphocyte ratio in systemic lupus erythematosus. Clin Exp Med 2024; 24:170. [PMID: 39052098 PMCID: PMC11272706 DOI: 10.1007/s10238-024-01438-5] [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: 04/23/2024] [Accepted: 07/16/2024] [Indexed: 07/27/2024]
Abstract
The wide range of clinical and serological manifestations in systemic lupus erythematosus (SLE) and the lack of accepted diagnostic criteria warrant the identification of novel, more accurate biomarkers. Hematological indices derived from full blood cell counts, particularly the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR), have shown promise in SLE; however, a critical appraisal of their diagnostic accuracy is lacking. We sought to address this issue by conducting a systematic review and meta-analysis of the diagnostic accuracy of the NLR and PLR in SLE. The electronic databases PubMed, Scopus, and Web of Science were systematically searched from inception to 15 March 2024 for studies reporting the sensitivity and specificity of the NLR and PLR, obtained by receiver operating characteristic (ROC) curve analysis, for the presence of SLE, disease severity, organ involvement (lupus nephritis, pericarditis, and pleural disease), and complications (infections). The risk of bias was assessed using the JBI Critical Appraisal Checklist (PROSPERO registration number: CRD42024531446). The NLR exhibited good accuracy for the diagnosis of SLE (eight studies; area under the curve, AUC = 0.81, 95% CI 0.78-0.85) and lupus nephritis (nine studies; AUC = 0.81, 95% CI 0.77-0.84), but not for severe disease (nine studies; AUC = 0.69, 95% CI 0.65-0.73) or infections (six studies; AUC = 0.73, 95% CI 0.69-0.77). The PLR exhibited good accuracy for the diagnosis of severe disease (six studies; AUC = 0.85, 95% CI 0.81-0.87). There were an insufficient number of studies to assess the accuracy of the PLR for the diagnosis of SLE, lupus nephritis, or infections. No study investigated the NLR and PLR in SLE patients with pericarditis or pleural disease. Therefore, the NLR and the PLR have a relatively high diagnostic accuracy for the presence of SLE and lupus nephritis (NLR) and severe disease (PLR). Further studies are warranted to determine whether the NLR and PLR, in combination with clinical evaluation and other serological biomarkers, can enhance the diagnosis and management of SLE.
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Affiliation(s)
- Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Panagiotis Paliogiannis
- Department of Medicine, Surgery, and Pharmacy, University of Sassari, Sassari, Italy
- Anatomic Pathology and Histology Unit, Sassari University Hospital (AOU), Sassari, Italy
| | - Arduino A Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
- Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, College of Medicine and Public Health, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.
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Yin X, Zhang Y, Zou J, Yang J. Association of the systemic immune-inflammation index with all-cause and cardiovascular mortality in individuals with rheumatoid arthritis. Sci Rep 2024; 14:15129. [PMID: 38956376 PMCID: PMC11219888 DOI: 10.1038/s41598-024-66152-4] [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: 03/02/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024] Open
Abstract
The systemic immune-inflammation index (SII), a metric reflecting systemic inflammatory response and immune activation, remains underexplored concerning its correlation with mortality among rheumatoid arthritis (RA) patients. This study aimed to delineate the association between SII and both all-cause and cardiovascular mortality within the cohort of American adults diagnosed with RA, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The investigation extracted data from NHANES cycles between 1999 and 2018, identifying RA patients through questionnaire responses. The SII was computed based on complete blood counts, employing the formula: (platelets × neutrophils) / lymphocytes. The optimal SII cutoff value for significant survival outcomes was determined using maximally selected rank statistics. Multivariable Cox proportional hazards models assessed the relationship between SII levels and mortality (all-cause and cardiovascular) among RA patients, with subgroup analyses examining potential modifications by clinical confounders. Additionally, restricted cubic spline (RCS) analyses were conducted to explore the linearity of the SII-mortality association. The study encompassed 2070 American adults with RA, among whom 287 exhibited a higher SII (≥ 919.75) and 1783 a lower SII (< 919.75). Over a median follow-up duration of 108 months, 602 participants died. After adjustments for demographic, socioeconomic, and lifestyle variables, a higher SII was associated with a 1.48-fold increased risk of all-cause mortality (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.21-1.81, P < 0.001) and a 1.51-fold increased risk of cardiovascular mortality (HR = 1.51, 95% CI 1.04-2.18, P = 0.030) compared to a lower SII. Kaplan-Meier analyses corroborated significantly reduced survival rates within the higher SII cohort for both all-cause and cardiovascular mortality (Pall-cause mortality < 0.0001 and Pcardiovascular mortality = 0.0004). RCS analyses confirmed a positive nonlinear relationship between SII and mortality rates. In conclusion, the SII offers a straightforward indicator of the equilibrium between detrimental innate inflammation and beneficial adaptive immunity. Our investigation, utilizing a comprehensive and nationally representative sample, reveals that elevated SII levels independently forecast a greater risk of mortality from all causes, as well as cardiovascular-specific mortality, in individuals suffering from RA. These insights underscore the clinical relevance of the SII as an affordable and readily accessible biomarker. Its incorporation into regular clinical practice could significantly enhance the precision of risk assessment and forecasting for patients with RA, facilitating more tailored and effective management strategies. Specifically, patients with high SII levels could be identified for more stringent cardiovascular risk management, including closer monitoring, lifestyle interventions, and aggressive pharmacological treatments to mitigate their increased risk of mortality.
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Affiliation(s)
- Xiaoshuang Yin
- Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Yu Zhang
- Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Jinmei Zou
- Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
| | - Jing Yang
- Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
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Lee YH, Song GG. Platelet-to-lymphocyte ratio as a biomarker of systemic inflammation in systemic lupus erythematosus: A meta-analysis and systematic review. PLoS One 2024; 19:e0303665. [PMID: 38753735 PMCID: PMC11098385 DOI: 10.1371/journal.pone.0303665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 04/29/2024] [Indexed: 05/18/2024] Open
Abstract
OBJECTIVE The objective of this study was to evaluate the relationship between the platelet-to-lymphocyte ratio (PLR) and systemic lupus erythematosus (SLE). Additionally, the study aimed to establish an association between PLR and SLE disease activity, specifically lupus nephritis (LN). METHODS We conducted a comprehensive search across Medline, Embase, and Cochrane databases to identify relevant articles. Subsequently, we performed meta-analyses to compare PLR between SLE patients and controls, as well as active and inactive SLE cases, along with LN and non-LN groups. Furthermore, a meta-analysis was conducted on correlation coefficients between PLR and various parameters in SLE patients, including the SLE Disease Activity Index (SLEDAI), C3, C4, anti-dsDNA, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP). RESULTS In total, fifteen studies comprising 1,522 SLE patients and 1,424 controls were eligible for inclusion. The meta-analysis demonstrated a significant elevation of PLR in the SLE group compared to the control group (Standardized Mean Difference [SMD] = 0.604, 95% Confidence Interval [CI] = 0.299-0.909, p < 0.001). Upon stratification by ethnicity, an elevated PLR was observed in the SLE group among both Asian and Arab populations. Subgroup analysis based on sample size revealed consistently higher PLR in both small (n < 200) and large sample (n ≥ 200) SLE groups. Moreover, when considering disease activity, there was a noteworthy trend of increased PLR in the active disease group compared to the inactive group (SMD = 0.553, 95% CI = 0.000-1.106, p = 0.050). However, the meta-analysis did not demonstrate a significant distinction in PLR between the LN and non-LN groups. Notably, a positive association was established between PLR and SLEDAI (correlation coefficient = 0.325, 95% CI = 0.176-0.459, p < 0.001). Furthermore, PLR exhibited positive correlations with ESR, CRP, proteinuria, C3, and anti-dsDNA antibody levels. CONCLUSIONS The outcomes of this meta-analysis underscored the elevated PLR in SLE patients, suggesting its potential as a biomarker for gauging systemic inflammation in SLE. Additionally, PLR exhibited correlations with SLEDAI, as well as with key indicators such as ESR, CRP, proteinuria, C3, and anti-dsDNA antibody levels.
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Affiliation(s)
- Young Ho Lee
- Department of Rheumatology, Korea University College of Medicine, Seoul, Korea
| | - Gwan Gyu Song
- Department of Rheumatology, Korea University College of Medicine, Seoul, Korea
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Mangoni AA, Zinellu A. The diagnostic role of the systemic inflammation index in patients with immunological diseases: a systematic review and meta-analysis. Clin Exp Med 2024; 24:27. [PMID: 38285324 PMCID: PMC10824868 DOI: 10.1007/s10238-024-01294-3] [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: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 01/30/2024]
Abstract
The identification of novel, easily measurable biomarkers of inflammation might enhance the diagnosis and management of immunological diseases (IDs). We conducted a systematic review and meta-analysis to investigate an emerging biomarker derived from the full blood count, the systemic inflammation index (SII), in patients with IDs and healthy controls. We searched Scopus, PubMed, and Web of Science from inception to 12 December 2023 for relevant articles and evaluated the risk of bias and the certainty of evidence using the Joanna Briggs Checklist and the Grades of Recommendation, Assessment, Development, and Evaluation Working Group system, respectively. In 16 eligible studies, patients with IDs had a significantly higher SII when compared to controls (standard mean difference, SMD = 1.08, 95% CI 0.75 to 1.41, p < 0.001; I2 = 96.2%, p < 0.001; moderate certainty of evidence). The pooled area under the curve (AUC) for diagnostic accuracy was 0.85 (95% CI 0.82-0.88). In subgroup analysis, the effect size was significant across different types of ID, barring systemic lupus erythematosus (p = 0.20). In further analyses, the SII was significantly higher in ID patients with active disease vs. those in remission (SMD = 0.81, 95% CI 0.34-1.27, p < 0.001; I2 = 93.6%, p < 0.001; moderate certainty of evidence). The pooled AUC was 0.74 (95% CI 0.70-0.78). Our study suggests that the SII can effectively discriminate between subjects with and without IDs and between ID patients with and without active disease. Prospective studies are warranted to determine whether the SII can enhance the diagnosis of IDs in routine practice. (PROSPERO registration number: CRD42023493142).
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Affiliation(s)
- Arduino A Mangoni
- Discipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Bedford ParkAdelaide, SA, 5042, Australia.
- Department of Clinical Pharmacology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, Australia.
| | - Angelo Zinellu
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
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Rabrenović V, Petrović M, Rabrenović M, Pilčević D, Rančić N. The significance of biomarkers of inflammation in predicting the activity of Lupus nephritis. J Med Biochem 2024; 43:116-125. [PMID: 38496018 PMCID: PMC10943464 DOI: 10.5937/jomb0-43457] [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: 03/22/2023] [Accepted: 06/14/2023] [Indexed: 03/19/2024] Open
Abstract
Background Lupus nephritis (LN) is one of the most severe manifestations of systemic lupus erythematosus (SLE). There are increased studies examining the role of different markers that would facilitate diagnosis, LN activity monitoring, relapse occurrence, and the right time to introduce maintenance therapy. We aimed to examine the importance of determining the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), systemic immuneinflammatory index (SII) and systemic inflammatory response index (SIRI) in LN, comparing their significance with other standard parameters of active disease. Methods The clinical examination included 66 patients (34 with active and 32 with LN in remission) and 23 healthy controls. The investigated parameters were CRP, CBC, creatinine, albumin, GFR, C3, C4, ANA, anti-ds DNA Ab, in urine: sediment analysis, SLEDAI/r, proteinuria 24h and Up/cre. We determined the derived markers: NLR, PLR, SIRI, and SII and their correlation with other parameters of active disease.
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Affiliation(s)
| | | | | | - Dejan Pilčević
- Military Medical Academy, Clinic of Nephrology, Belgrade
| | - Nemanja Rančić
- Military Medical Academy, Centre for Clinical Pharmacology, Belgrade
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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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Mercader-Salvans J, García-González M, Quevedo-Abeledo JC, Quevedo-Rodríguez A, Romo-Cordero A, Ojeda-Bruno S, Gómez-Bernal F, López-Mejías R, Martín-González C, González-Gay MÁ, Ferraz-Amaro I. Blood Composite Scores in Patients with Systemic Lupus Erythematosus. Biomedicines 2023; 11:2782. [PMID: 37893155 PMCID: PMC10604879 DOI: 10.3390/biomedicines11102782] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/16/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Complete blood count-derived ratios have been described as inflammatory biomarkers in several diseases. These hematological scores include the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index ([SIRI]; neutrophils × monocytes/lymphocytes). Our aim was to study how these biomarkers are related to disease expression in a large and well-characterized series of patients with systemic lupus erythematosus (SLE). A total of 284 SLE patients and 181 age- and sex-matched healthy controls were recruited. The NLR, MLR, PLR, and SIRI were calculated, and activity (SLEDAI-2K), severity (Katz), and damage index (SLICC-DI) scores were assessed in patients with SLE. Multivariable linear regression analysis was performed to study whether these scores differ between patients and controls and how they are related to clinical and laboratory features of the disease. Crude cell counts of neutrophils, monocytes, lymphocytes, and platelets were lower in SLE patients compared to controls. Despite this, NLR, MLR, and PRL, but not SIRI, were higher in SLE patients than in controls after multivariable analysis. However, the relationship between the different scores and disease characteristics was limited. Only the Katz severity index revealed a significant positive relationship with SIRI, NLR, and MLR after adjustment for covariates. Similarly, alternative complement cascade activation and low C3 were significantly associated with higher NLR, MLR, and PLR. In conclusion, although cytopenias are a common feature of patients with SLE, hematologic composite scores are independently higher in this population compared to controls. However, the relationship of these scores with the characteristics of the disease is scarce, with the relationship with the complement system being the most consistent.
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Affiliation(s)
| | - María García-González
- Division of Rheumatology, Hospital Universitario de Canarias, 38320 Tenerife, Spain;
| | - Juan C. Quevedo-Abeledo
- Division of Rheumatology, Hospital Doctor Negrín, 35010 Las Palmas de Gran Canaria, Spain; (J.C.Q.-A.); (A.Q.-R.); (S.O.-B.)
| | - Adrián Quevedo-Rodríguez
- Division of Rheumatology, Hospital Doctor Negrín, 35010 Las Palmas de Gran Canaria, Spain; (J.C.Q.-A.); (A.Q.-R.); (S.O.-B.)
| | - Alejandro Romo-Cordero
- Division of Internal Medicine, Hospital Universitario de Canarias, 38320 Tenerife, Spain; (A.R.-C.); (C.M.-G.)
| | - Soledad Ojeda-Bruno
- Division of Rheumatology, Hospital Doctor Negrín, 35010 Las Palmas de Gran Canaria, Spain; (J.C.Q.-A.); (A.Q.-R.); (S.O.-B.)
| | - Fuensanta Gómez-Bernal
- Division of Central Laboratory, Hospital Universitario de Canarias, 38320 Tenerife, Spain;
| | - Raquel López-Mejías
- Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, Instituto de Investigación Sanitaria Marqués de Valdecilla (IDIVAL), 39011 Santander, Spain;
| | - Candelaria Martín-González
- Division of Internal Medicine, Hospital Universitario de Canarias, 38320 Tenerife, Spain; (A.R.-C.); (C.M.-G.)
- Department of Internal Medicine, Universidad de La Laguna (ULL), 38200 Tenerife, Spain
| | - Miguel Á. González-Gay
- Division of Rheumatology, IIS-Fundación Jiménez Díaz, 28040 Madrid, Spain
- Department of Medicine, University of Cantabria, 39005 Santander, Spain
- Cardiovascular Pathophysiology and Genomics Research Unit, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa
| | - Iván Ferraz-Amaro
- Division of Rheumatology, Hospital Universitario de Canarias, 38320 Tenerife, Spain;
- Department of Internal Medicine, Universidad de La Laguna (ULL), 38200 Tenerife, Spain
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Arredondo Montero J, Bardají Pascual C, Antona G, Ros Briones R, López-Andrés N, Martín-Calvo N. The BIDIAP index: a clinical, analytical and ultrasonographic score for the diagnosis of acute appendicitis in children. Pediatr Surg Int 2023; 39:175. [PMID: 37038002 PMCID: PMC10085908 DOI: 10.1007/s00383-023-05463-5] [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] [Accepted: 04/03/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Pediatric acute appendicitis (PAA) continues to be a diagnostic challenge today. The diagnostic performance of classical indices is only moderate, especially in pediatric population. This study aimed to define a clinical, radiological and analytical index for the diagnosis of PAA. MATERIALS AND METHODS This prospective study included 151 patients divided into two groups: (1) 53 patients with non-surgical abdominal pain (NSAP) and (2) 98 patients with a confirmed PAA. Sociodemographic and clinical characteristics were compared between groups using the Mann-Whitney U test and the Fisher exact test. To identify the predictors of PAA, we performed a multivariable logistic regression using a forward stepwise analysis and we assigned multiples of integer values to the selected variables. The diagnostic performance of the index was assessed by calculating the area under the receiver operating characteristic curve. Intra-cohort calibration was assessed with the Hosmer-Lemeshow test. RESULTS We developed the BIDIAP index (BIomarkers for the DIagnosis of Appendicitis in Pediatrics), which included three variables that independently predicted higher odds of PAA: appendiceal caliber (≥ 6.9 mm), systemic immune-inflammation index (≥ 890) and peritoneal irritation, which scored 4, 3 and 2 points, respectively. Mean (SD) score of the participants was 2.38 (2.06) in group 1 and 7.89 (1.50) in group 2. The area under the ROC was 0.97 (95% CI 0.95-0.99). The cut-off point was established at 4 points, resulting in a sensitivity of 98.98% and a specificity of 77.78%. CONCLUSIONS The BIDIAP index has an exceptional diagnostic performance in PAA. The importance of these results lies in its novelty and in the simplicity of the index. Although external validation will be necessary, initial results look promising.
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Affiliation(s)
- Javier Arredondo Montero
- Pediatric Surgery Department, Hospital Universitario de Navarra, Calle Irunlarrea 3, 31008, Pamplona, Navarra, Spain.
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Navarra, Spain.
| | - Carlos Bardají Pascual
- Pediatric Surgery Department, Hospital Universitario de Navarra, Calle Irunlarrea 3, 31008, Pamplona, Navarra, Spain
| | - Giuseppa Antona
- Pediatric Surgery Department, Hospital Universitario de Navarra, Calle Irunlarrea 3, 31008, Pamplona, Navarra, Spain
| | - Raquel Ros Briones
- Pediatric Surgery Department, Hospital Universitario de Navarra, Calle Irunlarrea 3, 31008, Pamplona, Navarra, Spain
| | - Natalia López-Andrés
- Cardiovascular Translational Research, NavarraBiomed (Miguel Servet Foundation), Hospital Universitario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Navarra, Spain
| | - Nerea Martín-Calvo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Navarra, Spain
- IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra, Spain
- CIBER de Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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