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Song C, Hu Z, Zhang J. The value of lymphocyte-to-C-reactive protein ratio for predicting clinical outcomes in patients with sepsis in intensive care unit: a retrospective single-center study. Front Mol Biosci 2024; 11:1429372. [PMID: 39347502 PMCID: PMC11427359 DOI: 10.3389/fmolb.2024.1429372] [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: 05/24/2024] [Accepted: 08/30/2024] [Indexed: 10/01/2024] Open
Abstract
Background The lymphocyte-to-C-reactive protein ratio (LCR) was a novel biomarker of inflammation that had been implicated in various diseases. Nevertheless, the role of LCR in the context of sepsis patients admitted to the Intensive Care Unit (ICU) had not been thoroughly elucidated. This study aimed to determine the significance of the LCR in predicting the prognosis of sepsis patients within ICU. Methods A sample of sepsis patients requiring ICU care was selected from the Affiliated Hospital of Jiangsu University. These patients were then segmented into four quartiles based on their LCR levels. The primary endpoint of the study was 30-day mortality and the secondary endpoint was the occurrence of Acute Kidney Injury (AKI). Survival analysis, via the Kaplan-Meier method and log-rank test, was conducted to assess survival rates. Cox proportional hazards regression and logistic regression models were employed to investigate the association between LCR and clinical outcomes. Additional subgroup analyses were conducted to evaluate the influence of other confounding factors on the relationship between LCR and patient outcomes. Results A total of 1,123 patients were enrolled in this study, with a median age of 75 (65-84) years, and 707 (63.0%) of them were male. The 30-day mortality rate was 28.1%, while the incidence of AKI was 45.6%. A progressive decrease in LCR levels was found to be associated with an increased cumulative incidence of 30-day mortality (log-rank P < 0.001). Multivariable Cox proportional hazards analyses demonstrated that LCR was an independent predictor of 30-day mortality [per 1-unit increase in LCR: HR (95%CI): 0.370 (0.142-0.963); P = 0.042]. Additionally, multivariable logistic regression analysis revealed a significant association between LCR and AKI occurrence [per 1-unit increase in LCR: OR (95%CI): 0.541 (0.307-0.953); P = 0.034]. Furthermore, subgroup analysis indicated a stronger correlation for patients aged over 65 years compared to those aged 65 or younger (p for interaction <0.05) in predicting 30-day mortality or AKI occurrence based on LCR. Conclusion A reduction in LCR was notably linked to 30-day mortality and the occurrence of AKI in sepsis patients. These findings suggested that LCR could potentially serve as a valuable tool in identifying sepsis patients at a heightened risk of adverse outcomes.
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Affiliation(s)
- Chao Song
- Department of Emergency Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Zhenkui Hu
- Department of Emergency Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Jinhui Zhang
- Department of Critical Care Medicine, The Affiliated Hospital, Jiangsu University, Zhenjiang, Jiangsu, China
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De Rop L, Bos DA, Stegeman I, Holtman G, Ochodo EA, Spijker R, Otieno JA, Alkhlaileh F, Deeks JJ, Dinnes J, Van den Bruel A, McInnes MD, Leeflang MM, Verbakel JY. Accuracy of routine laboratory tests to predict mortality and deterioration to severe or critical COVID-19 in people with SARS-CoV-2. Cochrane Database Syst Rev 2024; 8:CD015050. [PMID: 39105481 PMCID: PMC11301994 DOI: 10.1002/14651858.cd015050.pub2] [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: 08/07/2024]
Abstract
BACKGROUND Identifying patients with COVID-19 disease who will deteriorate can be useful to assess whether they should receive intensive care, or whether they can be treated in a less intensive way or through outpatient care. In clinical care, routine laboratory markers, such as C-reactive protein, are used to assess a person's health status. OBJECTIVES To assess the accuracy of routine blood-based laboratory tests to predict mortality and deterioration to severe or critical (from mild or moderate) COVID-19 in people with SARS-CoV-2. SEARCH METHODS On 25 August 2022, we searched the Cochrane COVID-19 Study Register, encompassing searches of various databases such as MEDLINE via PubMed, CENTRAL, Embase, medRxiv, and ClinicalTrials.gov. We did not apply any language restrictions. SELECTION CRITERIA We included studies of all designs that produced estimates of prognostic accuracy in participants who presented to outpatient services, or were admitted to general hospital wards with confirmed SARS-CoV-2 infection, and studies that were based on serum banks of samples from people. All routine blood-based laboratory tests performed during the first encounter were included. We included any reference standard used to define deterioration to severe or critical disease that was provided by the authors. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data from each included study, and independently assessed the methodological quality using the Quality Assessment of Prognostic Accuracy Studies tool. As studies reported different thresholds for the same test, we used the Hierarchical Summary Receiver Operator Curve model for meta-analyses to estimate summary curves in SAS 9.4. We estimated the sensitivity at points on the SROC curves that corresponded to the median and interquartile range boundaries of specificities in the included studies. Direct and indirect comparisons were exclusively conducted for biomarkers with an estimated sensitivity and 95% CI of ≥ 50% at a specificity of ≥ 50%. The relative diagnostic odds ratio was calculated as a summary of the relative accuracy of these biomarkers. MAIN RESULTS We identified a total of 64 studies, including 71,170 participants, of which 8169 participants died, and 4031 participants deteriorated to severe/critical condition. The studies assessed 53 different laboratory tests. For some tests, both increases and decreases relative to the normal range were included. There was important heterogeneity between tests and their cut-off values. None of the included studies had a low risk of bias or low concern for applicability for all domains. None of the tests included in this review demonstrated high sensitivity or specificity, or both. The five tests with summary sensitivity and specificity above 50% were: C-reactive protein increase, neutrophil-to-lymphocyte ratio increase, lymphocyte count decrease, d-dimer increase, and lactate dehydrogenase increase. Inflammation For mortality, summary sensitivity of a C-reactive protein increase was 76% (95% CI 73% to 79%) at median specificity, 59% (low-certainty evidence). For deterioration, summary sensitivity was 78% (95% CI 67% to 86%) at median specificity, 72% (very low-certainty evidence). For the combined outcome of mortality or deterioration, or both, summary sensitivity was 70% (95% CI 49% to 85%) at median specificity, 60% (very low-certainty evidence). For mortality, summary sensitivity of an increase in neutrophil-to-lymphocyte ratio was 69% (95% CI 66% to 72%) at median specificity, 63% (very low-certainty evidence). For deterioration, summary sensitivity was 75% (95% CI 59% to 87%) at median specificity, 71% (very low-certainty evidence). For mortality, summary sensitivity of a decrease in lymphocyte count was 67% (95% CI 56% to 77%) at median specificity, 61% (very low-certainty evidence). For deterioration, summary sensitivity of a decrease in lymphocyte count was 69% (95% CI 60% to 76%) at median specificity, 67% (very low-certainty evidence). For the combined outcome, summary sensitivity was 83% (95% CI 67% to 92%) at median specificity, 29% (very low-certainty evidence). For mortality, summary sensitivity of a lactate dehydrogenase increase was 82% (95% CI 66% to 91%) at median specificity, 60% (very low-certainty evidence). For deterioration, summary sensitivity of a lactate dehydrogenase increase was 79% (95% CI 76% to 82%) at median specificity, 66% (low-certainty evidence). For the combined outcome, summary sensitivity was 69% (95% CI 51% to 82%) at median specificity, 62% (very low-certainty evidence). Hypercoagulability For mortality, summary sensitivity of a d-dimer increase was 70% (95% CI 64% to 76%) at median specificity of 56% (very low-certainty evidence). For deterioration, summary sensitivity was 65% (95% CI 56% to 74%) at median specificity of 63% (very low-certainty evidence). For the combined outcome, summary sensitivity was 65% (95% CI 52% to 76%) at median specificity of 54% (very low-certainty evidence). To predict mortality, neutrophil-to-lymphocyte ratio increase had higher accuracy compared to d-dimer increase (RDOR (diagnostic Odds Ratio) 2.05, 95% CI 1.30 to 3.24), C-reactive protein increase (RDOR 2.64, 95% CI 2.09 to 3.33), and lymphocyte count decrease (RDOR 2.63, 95% CI 1.55 to 4.46). D-dimer increase had higher accuracy compared to lymphocyte count decrease (RDOR 1.49, 95% CI 1.23 to 1.80), C-reactive protein increase (RDOR 1.31, 95% CI 1.03 to 1.65), and lactate dehydrogenase increase (RDOR 1.42, 95% CI 1.05 to 1.90). Additionally, lactate dehydrogenase increase had higher accuracy compared to lymphocyte count decrease (RDOR 1.30, 95% CI 1.13 to 1.49). To predict deterioration to severe disease, C-reactive protein increase had higher accuracy compared to d-dimer increase (RDOR 1.76, 95% CI 1.25 to 2.50). The neutrophil-to-lymphocyte ratio increase had higher accuracy compared to d-dimer increase (RDOR 2.77, 95% CI 1.58 to 4.84). Lastly, lymphocyte count decrease had higher accuracy compared to d-dimer increase (RDOR 2.10, 95% CI 1.44 to 3.07) and lactate dehydrogenase increase (RDOR 2.22, 95% CI 1.52 to 3.26). AUTHORS' CONCLUSIONS Laboratory tests, associated with hypercoagulability and hyperinflammatory response, were better at predicting severe disease and mortality in patients with SARS-CoV-2 compared to other laboratory tests. However, to safely rule out severe disease, tests should have high sensitivity (> 90%), and none of the identified laboratory tests met this criterion. In clinical practice, a more comprehensive assessment of a patient's health status is usually required by, for example, incorporating these laboratory tests into clinical prediction rules together with clinical symptoms, radiological findings, and patient's characteristics.
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Affiliation(s)
- Liselore De Rop
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - David Ag Bos
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Inge Stegeman
- Department of Otorhinolaryngology and Head & Neck Surgery, University Medical Center Utrecht, Utrecht, Netherlands
- Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Gea Holtman
- Department of Primary- and Long-term Care, University of Groningen, University Medical Centre Groningen, Groningen, Netherlands
| | - Eleanor A Ochodo
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Centre for Evidence-based Health Care, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - René Spijker
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Medical Library, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health, Amsterdam, Netherlands
| | - Jenifer A Otieno
- Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Fade Alkhlaileh
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Jonathan J Deeks
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Jacqueline Dinnes
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Ann Van den Bruel
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Matthew Df McInnes
- Department of Radiology, The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Canada
| | - Mariska Mg Leeflang
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Jan Y Verbakel
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Porter JC, Inshaw J, Solis VJ, Denneny E, Evans R, Temkin MI, De Vasconcelos N, Aramburu IV, Hoving D, Basire D, Crissell T, Guinto J, Webb A, Esmail H, Johnston V, Last A, Rampling T, Lippert L, Helbig ET, Kurth F, Williams B, Flynn A, Lukey PT, Birault V, Papayannopoulos V. Anti-inflammatory therapy with nebulized dornase alfa for severe COVID-19 pneumonia: a randomized unblinded trial. eLife 2024; 12:RP87030. [PMID: 39009040 PMCID: PMC11251720 DOI: 10.7554/elife.87030] [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] [Indexed: 07/17/2024] Open
Abstract
Background Prinflammatory extracellular chromatin from neutrophil extracellular traps (NETs) and other cellular sources is found in COVID-19 patients and may promote pathology. We determined whether pulmonary administration of the endonuclease dornase alfa reduced systemic inflammation by clearing extracellular chromatin. Methods Eligible patients were randomized (3:1) to the best available care including dexamethasone (R-BAC) or to BAC with twice-daily nebulized dornase alfa (R-BAC + DA) for seven days or until discharge. A 2:1 ratio of matched contemporary controls (CC-BAC) provided additional comparators. The primary endpoint was the improvement in C-reactive protein (CRP) over time, analyzed using a repeated-measures mixed model, adjusted for baseline factors. Results We recruited 39 evaluable participants: 30 randomized to dornase alfa (R-BAC +DA), 9 randomized to BAC (R-BAC), and included 60 CC-BAC participants. Dornase alfa was well tolerated and reduced CRP by 33% compared to the combined BAC groups (T-BAC). Least squares (LS) mean post-dexamethasone CRP fell from 101.9 mg/L to 23.23 mg/L in R-BAC +DA participants versus a 99.5 mg/L to 34.82 mg/L reduction in the T-BAC group at 7 days; p=0.01. The anti-inflammatory effect of dornase alfa was further confirmed with subgroup and sensitivity analyses on randomised participants only, mitigating potential biases associated with the use of CC-BAC participants. Dornase alfa increased live discharge rates by 63% (HR 1.63, 95% CI 1.01-2.61, p=0.03), increased lymphocyte counts (LS mean: 1.08 vs 0.87, p=0.02) and reduced circulating cf-DNA and the coagulopathy marker D-dimer (LS mean: 570.78 vs 1656.96 μg/mL, p=0.004). Conclusions Dornase alfa reduces pathogenic inflammation in COVID-19 pneumonia, demonstrating the benefit of cost-effective therapies that target extracellular chromatin. Funding LifeArc, Breathing Matters, The Francis Crick Institute (CRUK, Medical Research Council, Wellcome Trust). Clinical trial number NCT04359654.
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Affiliation(s)
- Joanna C Porter
- UCL Respiratory, University College LondonLondonUnited Kingdom
- University College London Hospitals NHS TrustLondonUnited Kingdom
| | | | | | - Emma Denneny
- UCL Respiratory, University College LondonLondonUnited Kingdom
- University College London Hospitals NHS TrustLondonUnited Kingdom
| | - Rebecca Evans
- University College London Hospitals NHS TrustLondonUnited Kingdom
| | - Mia I Temkin
- Antimicrobial Defence Lab, The Francis Crick InstituteLondonUnited Kingdom
| | | | | | - Dennis Hoving
- Antimicrobial Defence Lab, The Francis Crick InstituteLondonUnited Kingdom
| | - Donna Basire
- UCL Respiratory, University College LondonLondonUnited Kingdom
| | - Tracey Crissell
- University College London Hospitals NHS TrustLondonUnited Kingdom
| | - Jesusa Guinto
- University College London Hospitals NHS TrustLondonUnited Kingdom
| | - Alison Webb
- University College London Hospitals NHS TrustLondonUnited Kingdom
| | - Hanif Esmail
- University College London Hospitals NHS TrustLondonUnited Kingdom
- National Institute for Health Research, University College London Hospital Biomedical Research CentreLondonUnited Kingdom
| | - Victoria Johnston
- University College London Hospitals NHS TrustLondonUnited Kingdom
- National Institute for Health Research, University College London Hospital Biomedical Research CentreLondonUnited Kingdom
| | - Anna Last
- University College London Hospitals NHS TrustLondonUnited Kingdom
- Clinical Research Department, London School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Thomas Rampling
- University College London Hospitals NHS TrustLondonUnited Kingdom
- National Institute for Health Research, University College London Hospital Biomedical Research CentreLondonUnited Kingdom
| | - Lena Lippert
- Charité – Universitätsmedizin Berlin, Department of Infectious Diseases and Respiratory MedicineBerlinGermany
| | - Elisa Theresa Helbig
- Charité – Universitätsmedizin Berlin, Department of Infectious Diseases and Respiratory MedicineBerlinGermany
| | - Florian Kurth
- Charité – Universitätsmedizin Berlin, Department of Infectious Diseases and Respiratory MedicineBerlinGermany
| | - Bryan Williams
- University College London Hospitals NHS TrustLondonUnited Kingdom
- National Institute for Health Research, University College London Hospital Biomedical Research CentreLondonUnited Kingdom
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4
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Ul Hussain H, Kumar KA, Zahid M, Husban Burney M, Khan Z, Asif M, Rehan ST, Ahmad Cheema H, Swed S, Yasmin F, Ullah W, Alraies MC. Neutrophil to lymphocyte ratio as a prognostic marker for cardiovascular outcomes in patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention: A systematic review and meta-analysis. Medicine (Baltimore) 2024; 103:e38692. [PMID: 38941418 DOI: 10.1097/md.0000000000038692] [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: 06/30/2024] Open
Abstract
BACKGROUND Neutrophil to lymphocyte ratio (NLR) has been considered a prognostic biomarker of mortality and other major cardiac events. This study investigates NLR's efficacy in predicting in-hospital and long-term outcomes in patients with ST-segment elevated myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI). METHODS Electronic databases (PUBMED, Cochrane CENTRAL, ERIC, Embase, Ovid, and Google Scholar) were searched till June 2022 to identify studies having STEMI patients who underwent PCI. Risk ratios and mean differences (MDs), along with their corresponding 95% confidence intervals (Cis) and standard deviations (SDs), were pooled using a random-effect model. This meta-analysis has been registered on Prospero (ID: CRD42022344072). RESULTS A total of 35 studies with 28,756 patients were included. Pooled estimates revealed an increased incidence of primary outcomes; in-hospital all-cause mortality (RR = 3.52; 95% CI = 2.93-4.24), long-term all-cause mortality (HR = 1.07; 95% CI = 1.00-1.14), (RR = 3.32; 95% CI = 2.57-4.30); in-hospital cardiovascular mortality (RR = 2.66; 95% CI = 2.04-3.48), long-term cardiovascular mortality (RR = 6.67; 95% CI = 4.06-10.95); in-hospital major adverse cardiovascular events (MACE) (RR = 1.31; 95% CI = 1.17-1.46), long-term MACE (RR = 2.92; 95% CI = 2.16-3.94); length of hospital stay (WMD = 0.60 days; 95% CI = 0.40-0.79) in patients with high NLR compared to those with a low NLR. CONCLUSION NLR might be a valuable tool for prognostication (in-hospital) and stratification of patients with STEMI who underwent PCI.
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Affiliation(s)
| | | | - Marium Zahid
- Karachi Medical and Dental College, Karachi, Pakistan
| | | | - Zayeema Khan
- Dow University of Health Sciences, Karachi, Pakistan
| | - Muqaddus Asif
- Dow University of Health Sciences, Karachi, Pakistan
| | | | | | - Sarya Swed
- Aleppo University Faculty of Medicine, Aleppo, Syria
| | - Farah Yasmin
- Dow University of Health Sciences, Karachi, Pakistan
| | - Waqas Ullah
- Thomas Jefferson University Hospitals, Philadelphia, PA
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Gutiérrez-Pérez IA, Buendía-Roldán I, Zaragoza-García O, Pérez-Rubio G, Villafan-Bernal JR, Chávez-Galán L, Parra-Rojas I, Hernández-Zenteno RDJ, Fricke-Galindo I, Castro-Alarcón N, Bautista-Becerril B, Falfán-Valencia R, Guzmán-Guzmán IP. Association of PADI2 and PADI4 polymorphisms in COVID-19 host severity and non-survival. Heliyon 2024; 10:e27997. [PMID: 38524554 PMCID: PMC10958703 DOI: 10.1016/j.heliyon.2024.e27997] [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: 11/15/2023] [Revised: 02/27/2024] [Accepted: 03/10/2024] [Indexed: 03/26/2024] Open
Abstract
Background Enzymes of the peptidylarginine deiminase family (PADs) play a relevant role in the pathogenesis of COVID-19. However, the association of single nucleotide polymorphisms (SNPs) in their genes with COVID-19 severity and death is unknown. Methodology We included 1045 patients who were diagnosed with COVID-19 between October 2020 and December 2021. All subjects were genotyped for PADI2 (rs1005753 and rs2235926) and PADI4 (rs11203366, rs11203367, and rs874881) SNPs by TaqMan assays and their associations with disease severity, death, and inflammatory biomarkers were evaluated. Results 291 patients presented had severe COVID-19 according to PaO2/FiO2, and 393 had a non-survival outcome. Carriers of the rs1005753 G/G genotype in the PADI2 gene presented susceptibility for severe COVID-19, while the heterozygous carriers in rs11203366, rs11203367, and rs874881 of the PADI4 gene showed risk of death. The GTACC haplotype in PADI2-PADI4 was associated with susceptibility to severe COVID-19, while the GCACC haplotype was a protective factor. The GCGTG haplotype was associated with severe COVID-19 but as a protective haplotype for death. Finally, the GTACC haplotype was associated with platelet-to-lymphocyte ratio (PLR), the GCACC haplotype with neutrophil-to-hemoglobin and lymphocyte and the GCGTG haplotype as a protective factor for the elevation of procalcitonin, D-dimer, CRP, LCRP, NHL, SII, NLR, and PLR. Conclusions Our results suggest that the haplotypic combination of GTACC and some individual genotypes of PADI2 and PADI4 contribute to the subjects' susceptibility for severity and death by COVID-19.
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Affiliation(s)
- Ilse Adriana Gutiérrez-Pérez
- Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, 39000, Mexico
| | - Ivette Buendía-Roldán
- Translational Research Laboratory on Aging and Pulmonary Fibrosis, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, 14080, Mexico
| | - Oscar Zaragoza-García
- Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, 39000, Mexico
| | - Gloria Pérez-Rubio
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, 14080, Mexico
| | - José Rafael Villafan-Bernal
- Investigador por Mexico, Laboratory of Immunogenomics and Metabolic Disease, Mexican National Institute of Genomic Medicine (INMEGEN), Mexico City, 14610, Mexico
| | - Leslie Chávez-Galán
- Laboratory of Integrative Immunology, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, Mexico City, 14080, Mexico
| | - Isela Parra-Rojas
- Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, 39000, Mexico
| | | | - Ingrid Fricke-Galindo
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, 14080, Mexico
| | - Natividad Castro-Alarcón
- Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, 39000, Mexico
| | - Brandon Bautista-Becerril
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, 14080, Mexico
| | - Ramcés Falfán-Valencia
- HLA Laboratory, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, 14080, Mexico
| | - Iris Paola Guzmán-Guzmán
- Faculty of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, 39000, Mexico
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6
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Li H, Cheng ZJ, Fu X, Liu M, Liu P, Cao W, Liang Z, Wang F, Sun B. Decoding acute myocarditis in patients with COVID-19: Early detection through machine learning and hematological indices. iScience 2024; 27:108524. [PMID: 38303719 PMCID: PMC10831249 DOI: 10.1016/j.isci.2023.108524] [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: 05/31/2023] [Revised: 11/14/2023] [Accepted: 11/20/2023] [Indexed: 02/03/2024] Open
Abstract
During the persistent COVID-19 pandemic, the swift progression of acute myocarditis has emerged as a profound concern due to its augmented mortality, underscoring the urgency of prompt diagnosis. This study analyzed blood samples from 5,230 COVID-19 individuals, identifying key blood and myocardial markers that illuminate the relationship between COVID-19 severity and myocarditis. A predictive model, applying Bayesian and random forest methodologies, was constructed for myocarditis' early identification, unveiling a balanced gender distribution in myocarditis cases contrary to a male predominance in COVID-19 occurrences. Particularly, older men exhibited heightened vulnerability to severe COVID-19 strains. The analysis revealed myocarditis was notably prevalent in younger demographics, and two subvariants COVID-19 progression paths were identified, characterized by symptom intensity and specific blood indicators. The enhanced myocardial marker model displayed remarkable diagnostic accuracy, advocating its valuable application in future myocarditis detection and treatment strategies amidst the COVID-19 crisis.
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Affiliation(s)
- Haiyang Li
- Department of Clinical Laboratory, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK
| | - Zhangkai J. Cheng
- Department of Clinical Laboratory, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Xing Fu
- Group of Theoretical Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Mingtao Liu
- Department of Clinical Laboratory, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Peng Liu
- Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China
| | - Wenhan Cao
- Department of Clinical Laboratory, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Zhiman Liang
- Department of Clinical Laboratory, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Fei Wang
- Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China
| | - Baoqing Sun
- Department of Clinical Laboratory, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
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7
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Santos HO, Delpino FM, Veloso OM, Freire JMR, Gomes ESN, Pereira CGM. Elevated neutrophil-lymphocyte ratio is associated with high rates of ICU mortality, length of stay, and invasive mechanical ventilation in critically ill patients with COVID-19 : NRL and severe COVID-19. Immunol Res 2024; 72:147-154. [PMID: 37768500 DOI: 10.1007/s12026-023-09424-x] [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: 12/01/2022] [Accepted: 09/12/2023] [Indexed: 09/29/2023]
Abstract
Neutrophil and lymphocyte ratio (NLR) has emerged as a complementary marker in intensive care. This study aimed to associate high NLR values with mortality as the primary outcome, and length of stay and need for invasive mechanical ventilation as secondary outcomes, in critically ill patients with COVID-19. A cross-sectional study encompassing 189 critically ill patients with COVID-19 was performed. The receiver operating characteristic curve was used to identify the best NLR cutoff value for ICU mortality (≥ 10.6). An NLR ≥ 10.6, compared with an NLR < 10.6, was associated with higher odds of ICU mortality (odds ratio [OR], 2.77; 95% confidence interval [CI], 1.24-6.18), ICU length of stay ≥ 14 days (OR, 3.56; 95% CI, 1.01-12.5), and need for invasive mechanical ventilation (OR, 5.39; 95% CI, 1.96-14.81) in the fully adjusted model (age, sex, kidney dysfunction, diabetes, obesity, hypertension, deep vein thrombosis, antibiotics, anticoagulants, antivirals, corticoids, neuromuscular blockers, and vasoactive drugs). In conclusion, elevated NLR is associated with high rates of mortality, length of stay, and need for invasive mechanical ventilation in critically ill patients with COVID-19.
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Affiliation(s)
- Heitor O Santos
- School of Medicine, Federal University of Uberlandia (UFU), Para Street, 1720, Umuarama. Block 2H, Uberlandia, 38400-902, MG, Brazil.
| | - Felipe M Delpino
- Postgraduate in Nursing, Federal University of Pelotas (UFPel), Pelotas, Rio Grande do Sul, Brazil
| | - Octavio M Veloso
- Department of Medicine, Federal University of Sergipe (UFS), Sergipe. Augusto Franco Avenue, 3500. Unit 134. Aracaju - Sergipe, Aracaju, Sergipe, Brazil
| | | | | | - Cristina G M Pereira
- Department of Medicine, Federal University of Sergipe (UFS), Sergipe. Augusto Franco Avenue, 3500. Unit 134. Aracaju - Sergipe, Aracaju, Sergipe, Brazil
- São Lucas Hospital - Rede D'OR (HSL), Aracaju, Sergipe, Brazil
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8
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Harte JV, Coleman-Vaughan C, Crowley MP, Mykytiv V. It's in the blood: a review of the hematological system in SARS-CoV-2-associated COVID-19. Crit Rev Clin Lab Sci 2023; 60:595-624. [PMID: 37439130 DOI: 10.1080/10408363.2023.2232010] [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: 04/10/2023] [Accepted: 06/27/2023] [Indexed: 07/14/2023]
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented global healthcare crisis. While SARS-CoV-2-associated COVID-19 affects primarily the respiratory system, patients with COVID-19 frequently develop extrapulmonary manifestations. Notably, changes in the hematological system, including lymphocytopenia, neutrophilia and significant abnormalities of hemostatic markers, were observed early in the pandemic. Hematological manifestations have since been recognized as important parameters in the pathophysiology of SARS-CoV-2 and in the management of patients with COVID-19. In this narrative review, we summarize the state-of-the-art regarding the hematological and hemostatic abnormalities observed in patients with SARS-CoV-2-associated COVID-19, as well as the current understanding of the hematological system in the pathophysiology of acute and chronic SARS-CoV-2-associated COVID-19.
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Affiliation(s)
- James V Harte
- Department of Haematology, Cork University Hospital, Wilton, Cork, Ireland
- School of Biochemistry & Cell Biology, University College Cork, Cork, Ireland
| | | | - Maeve P Crowley
- Department of Haematology, Cork University Hospital, Wilton, Cork, Ireland
- Irish Network for Venous Thromboembolism Research (INViTE), Ireland
| | - Vitaliy Mykytiv
- Department of Haematology, Cork University Hospital, Wilton, Cork, Ireland
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9
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Sasaki T, Takahashi T, Sekito S, Kanda H, Higashi S, Masui S, Kojima T, Matsuura H, Nishikawa K, Akamatsu S, Okugawa Y, Kobayashi T, Inoue T. Pretreatment Lymphocyte to C-Reactive Protein Ratio: An Independent Predictor of Overall Survival in Metastatic Hormone-Naïve Prostate Cancer Patients. Clin Genitourin Cancer 2023; 21:e474-e484. [PMID: 37301664 DOI: 10.1016/j.clgc.2023.05.015] [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: 12/28/2022] [Revised: 05/21/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023]
Abstract
INTRODUCTION The purpose of this study was to investigate the clinical value of combination of systematic inflammatory factors in predicting the outcomes of primary androgen deprivation therapy (ADT) plus first-generation antiandrogen treatment in metastatic hormone-naïve prostate cancer (mHNPC) patients. MATERIALS AND METHODS A total of 361 consecutive mHNPC patients from the discovery (n = 165) and validation (n = 196) cohorts were analyzed. All patients received primary ADT with surgical castration or pharmacologic castration accompanied by first-generation antiandrogens. We evaluated the prognostic impact of pretreatment lymphocyte to C-reactive protein ratio (LCR) on overall survival (OS) in both cohorts. RESULTS The median follow-up in the discovery and validation cohorts was 43.4 and 50.9 months, respectively. In the discovery cohort, low LCR (using an optimal cutoff threshold of 14,025) was significantly correlated with poor OS compared with high LCR (P < .001). Multivariate analysis revealed that the biopsy Gleason score and LCR were independent prognostic factors for OS. In the validation cohort, low LCR was also significantly correlated with poor OS compared with high LCR (P = .001). A multivariate analysis revealed that the extent of disease on bone scan grade, lactate dehydrogenase, and LCR were all independent predictors of OS. CONCLUSIONS Pretreatment low LCR is an independent predictor of poor OS in mHNPC patients. This may be informative in predicting the susceptible patients' developing worse outcomes after being treated with primary ADT plus first-generation antiandrogen.
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Affiliation(s)
- Takeshi Sasaki
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan
| | - Toshifumi Takahashi
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Sho Sekito
- Department of Urology, Aichi Cancer Center Hospital, Aichi, Japan
| | - Hideki Kanda
- Department of Urology, Mie Prefectural General Medical Cancer, Mie, Japan
| | - Shinichiro Higashi
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan
| | - Satoru Masui
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan
| | - Takahiro Kojima
- Department of Urology, Aichi Cancer Center Hospital, Aichi, Japan
| | - Hiroshi Matsuura
- Department of Urology, Mie Prefectural General Medical Cancer, Mie, Japan
| | - Kouhei Nishikawa
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan
| | - Shusuke Akamatsu
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | | | - Takashi Kobayashi
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takahiro Inoue
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan.
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10
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Liu X, Mu Y. Lymphocyte to C-Reactive Protein Ratio as an Early Biomarker to Distinguish Sepsis from Pneumonia in Neonates. J Inflamm Res 2023; 16:3509-3517. [PMID: 37608883 PMCID: PMC10441656 DOI: 10.2147/jir.s424897] [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: 06/07/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023] Open
Abstract
Background Neonatal sepsis is an acute and severe disease that seriously threatens the life and health of newborns. Neonates with pneumonia may also have unrecognized neonatal sepsis. Early diagnosis of neonatal sepsis is beneficial for early treatment. This study aimed to evaluate the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early biomarker to distinguish sepsis from pneumonia. Methods This retrospective study enrolled 1635 neonates with pneumonia from February 2016 to March 2022. Among them, 182 cases were diagnosed with sepsis based on the positive blood culture results. Clinical and laboratory data were extracted from the electronic medical records. LCR was calculated as the ratio of the total lymphocyte count (×109 cells/L) to the C-reactive protein level (mg/L). Binary logistic regression analysis was conducted to evaluate the clinical significance of LCR as an early biomarker in distinguishing sepsis from pneumonia. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic value of LPCR in sepsis cases. All statistical analyses were conducted using Statistical Product and Service Solutions, version 24.0. Results The neonates with pneumonia combined with sepsis had a lower LCR than that of the neonates with pneumonia. Further analysis showed that the prevalence of neonatal pneumonia combined with sepsis was significantly higher in the low-LCR group than in the high-LCR group (20.7% vs 5.5%, P < 001). Binary logistic regression revealed that LCR was an independent risk factor for identifying pneumonia combined with sepsis. The ROC curve analysis revealed that LCR had better power than the lymphocyte count and CRP level individually in diagnosing neonatal pneumonia combined with sepsis (0.72 vs 0.65 vs 0.66, P < 0.001), with 62% sensitivity and 72% specificity. Conclusion LCR can be a potential early biomarker in distinguishing neonates with sepsis from those with pneumonia.
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Affiliation(s)
- Xinrui Liu
- Zhengzhou Key Laboratory of Children’s Infection and Immunity, Children’s Hospital Affiliated to Zhengzhou University, Henan Children’s Hospital, Zhengzhou Children’s Hospital, Zhengzhou, People’s Republic of China
| | - Yuan Mu
- Institute of Thermology, Henan Institute of Metrology and Testing Sciences, Zhengzhou, People’s Republic of China
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11
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Hamouzová P, Stehlíková Š, Poldová L, Vlasatá Z, Řeháková K, Doubek J. Lymphocyte immunophenotyping in dogs with lymphopenia of common causes. Vet Immunol Immunopathol 2023; 261:110620. [PMID: 37331238 DOI: 10.1016/j.vetimm.2023.110620] [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: 04/15/2023] [Revised: 05/30/2023] [Accepted: 05/31/2023] [Indexed: 06/20/2023]
Abstract
Lymphocyte immunophenotyping can be useful for evaluating immune competence and predicting the disease prognosis. It is essential to gain knowledge about canine lymphocyte immunophenotypes in various conditions. The study deals with the characteristics of lymphopenia in dogs, with an emphasis on lymphocyte immunophenotyping by flow cytometry. Blood samples from 44 dogs with lymphopenia were included in the study. All lymphopenias sent from veterinary clinics to the diagnostic laboratory were analyzed. The hematological and biochemical abnormalities were investigated, as well as the effect of the age. Lymphopenias were classified according to the level of C-reactive protein (CRP). The percentage of T cells, B cells, Th cells and Tc cells, and T/B and Th/Tc ratios were determined by flow cytometry. Lymphopenias often occurred in dogs over 7 years of age (79.5 %). The most common were postoperative lymphopenia (31.8 %) and inflammatory diseases (29.5 %), most commonly affecting the gastrointestinal tract. Frequent abnormalities were monocytosis (56.8 %), increased CRP (72.7 %) and decreased albumin/globulin ratio (50.0 %). The percentage of Th lymphocytes was significantly lower in the group with elevated CRP than in the group with basal CRP (P = 0.0329). A negative correlation was found between the level of CRP and the percentage of Th lymphocytes (r = -0.3278, P = 0.0390). This study provided new insights into the appearance, incidence and classification of canine lymphopenia.
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Affiliation(s)
- Pavla Hamouzová
- Department of Physiology, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic.
| | - Šárka Stehlíková
- Department of Physiology, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic
| | - Libuše Poldová
- Department of Physiology, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic
| | - Zuzana Vlasatá
- Department of Physiology, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic
| | - Kristína Řeháková
- Small Animal Clinical Laboratory, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic
| | - Jaroslav Doubek
- Department of Physiology, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic; Small Animal Clinical Laboratory, Faculty of Veterinary Medicine, University of Veterinary Sciences Brno, Palackého 1/1946, 616 00 Brno, the Czech Republic
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12
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Liu A, Hammond R, Chan K, Chukwuenweniwe C, Johnson R, Khair D, Duck E, Olubodun O, Barwick K, Banya W, Stirrup J, Donnelly PD, Kaski JC, Coates ARM. Comparison of Lymphocyte-CRP Ratio to Conventional Inflammatory Markers for Predicting Clinical Outcomes in COVID-19. J Pers Med 2023; 13:909. [PMID: 37373898 DOI: 10.3390/jpm13060909] [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: 04/21/2023] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
Background: In COVID-19 patients, lymphocyte-CRP ratio (LCR) is a promising biomarker for predicting adverse clinical outcomes. How well LCR performs compared to conventional inflammatory markers for prognosticating COVID-19 patients remains unclear, which hinders the clinical translation of this novel biomarker. Methods: In a cohort of COVID-19 inpatients, we characterised the clinical applicability of LCR by comparing its prognostic value against conventional inflammatory markers for predicting inpatient mortality and a composite of mortality, invasive/non-invasive ventilation and intensive care unit admissions. Results: Of the 413 COVID-19 patients, 100 (24%) patients suffered inpatient mortality. On Receiver Operating Characteristics analysis, LCR performed similarly to CRP for predicting mortality (AUC 0.74 vs. 0.71, p = 0.049) and the composite endpoint (AUC 0.76 vs. 0.76, p = 0.812). LCR outperformed lymphocyte counts (AUC 0.74 vs. 0.66, p = 0.002), platelet counts (AUC 0.74 vs. 0.61, p = 0.003) and white cell counts (AUC 0.74 vs. 0.54, p < 0.001) for predicting mortality. On Kaplan-Meier analysis, patients with a low LCR (below a 58 cut-off) had worse inpatient survival than patients with other LCR values (p < 0.001). Conclusion: LCR appears comparable to CRP, but outperformed other inflammatory markers, for prognosticating COVID-19 patients. Further studies are required to improve the diagnostic value of LCR to facilitate clinical translation.
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Affiliation(s)
- Alexander Liu
- School of Medicine, University of St Andrews, St Andrews KY16 9TF, UK
| | - Robert Hammond
- School of Medicine, University of St Andrews, St Andrews KY16 9TF, UK
| | - Kenneth Chan
- Royal Berkshire NHS Foundation Trust, Reading RG1 5AN, UK
| | | | | | - Duaa Khair
- Royal Berkshire NHS Foundation Trust, Reading RG1 5AN, UK
| | - Eleanor Duck
- Royal Berkshire NHS Foundation Trust, Reading RG1 5AN, UK
| | | | | | | | - James Stirrup
- Royal Berkshire NHS Foundation Trust, Reading RG1 5AN, UK
| | - Peter D Donnelly
- School of Medicine, University of St Andrews, St Andrews KY16 9TF, UK
| | - Juan Carlos Kaski
- Molecular and Clinical Sciences Research Institute, St George's University of London, London SW17 0QT, UK
| | - Anthony R M Coates
- Institute of Infection and Immunity, St George's University of London, London SW17 0QT, UK
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Abensur Vuillaume L, Lefebvre F, Benhamed A, Schnee A, Hoffmann M, Godoy Falcao F, Haber N, Sabah J, Lavoignet CE, Le Borgne P. Lymphocyte-to-C-Reactive Protein (LCR) Ratio Is Not Accurate to Predict Severity and Mortality in Patients with COVID-19 Admitted to the ED. Int J Mol Sci 2023; 24:ijms24065996. [PMID: 36983064 PMCID: PMC10051361 DOI: 10.3390/ijms24065996] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/15/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
Health care systems worldwide have been battling the ongoing COVID-19 pandemic. Since the beginning of the COVID-19 pandemic, Lymphocytes and CRP have been reported as markers of interest. We chose to investigate the prognostic value of the LCR ratio as a marker of severity and mortality in COVID-19 infection. Between 1 March and 30 April 2020, we conducted a multicenter, retrospective cohort study of patients with moderate and severe coronavirus disease 19 (COVID-19), all of whom were hospitalized after being admitted to the Emergency Department (ED). We conducted our study in six major hospitals of northeast France, one of the outbreak's epicenters in Europe. A total of 1035 patients with COVID-19 were included in our study. Around three-quarters of them (76.2%) presented a moderate form of the disease, while the remaining quarter (23.8%) presented a severe form requiring admission to the ICU. At ED admission, the median LCR was significantly lower in the group presenting severe disease compared to that with moderate disease (versus 6.24 (3.24-12) versus 12.63 ((6.05-31.67)), p < 0.001). However, LCR was neither associated with disease severity (OR: 0.99, CI 95% (0.99-1)), p = 0.476) nor mortality (OR: 0.99, CI 95% (0.99-1)). In the ED, LCR, although modest, with a threshold of 12.63, was a predictive marker for severe forms of COVID-19.
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Affiliation(s)
| | - François Lefebvre
- Department of Public Health, University Hospital of Strasbourg, 67000 Strasbourg, France
| | - Axel Benhamed
- Service SAMU-Urgences, Centre Hospitalier Universitaire Édouard Herriot, Hospices Civils de Lyon, 69000 Lyon, France
| | - Amandine Schnee
- Emergency Department, CHR Metz-Thionville, 57000 Metz, France
| | | | | | - Nathan Haber
- Emergency Department, CHR Metz-Thionville, 57000 Metz, France
| | - Jonathan Sabah
- Department of Gynecologic Surgery, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | | | - Pierrick Le Borgne
- Emergency Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
- INSERM (French National Institute of Health and Medical Research), UMR 1260, Regenerative NanoMedicine (RNM), Fédération de Médecine Translationnelle (FMTS), 67000 Strasbourg, France
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Xiao B, Wu Y, Liang H, Xiao J, Han Y, Yang Z, Bi Y. C-reactive protein to lymphocyte ratio is a significant predictive factor for poor short-term clinical outcomes of SARS-CoV-2 BA.2.2 patients. Front Public Health 2023; 11:1168375. [PMID: 37089472 PMCID: PMC10117655 DOI: 10.3389/fpubh.2023.1168375] [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: 02/17/2023] [Accepted: 03/13/2023] [Indexed: 04/25/2023] Open
Abstract
Objective The aim of the present study is to assess the utility of C-reactive protein to Lymphocyte Ratio (CLR) in predicting short-term clinical outcomes of patients infected by SARS-CoV-2 BA.2.2. Methods This retrospective study was performed on 1,219 patients with laboratory-confirmed SARS-CoV-2 BA.2.2 to determine the association of CLR with short-term clinical outcomes. Independent Chi square test, Rank sum test, and binary logistic regression analysis were performed to calculate mean differences and adjusted odds ratios (aORs) with their 95% CI, respectively. Results Over 8% of patients admitted due to SARS-CoV-2 BA.2.2. were critically ill. The best cut-off value of CLR was 21.25 in the ROC with a sensitivity of 72.3% and a specificity of 86%. After adjusting age, gender, and comorbidities, binary logistic regression analysis showed that elevated CLR was an independent risk factor for poor short-term clinical outcomes of COVID-19 patients. Conclusion C-reactive protein to Lymphocyte Ratio is a significant predictive factor for poor short-term clinical outcomes of SARS-CoV-2 BA.2.2 inflicted patients.
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Affiliation(s)
- Benjie Xiao
- Department of Neurology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yinyan Wu
- Department of Neurology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huazheng Liang
- Clinical Research Center for Anesthesiology and Perioperative Medicine, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Monash Suzhou Research Institute, Suzhou, Jiangsu Province, China
| | - Jingjing Xiao
- Department of Neurology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yudi Han
- Department of Neurology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhangwei Yang
- Department of Information, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yong Bi
- Shanghai University of Medicine & Health Sciences Affiliated Zhoupu hospital, Shanghai, China
- Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Yong Bi,
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Li X, Wei Y, Xu Z, Li T, Dong G, Liu X, Zhu Z, Yang J, Yang J. Lymphocyte-to-C-Reactive Protein Ratio as an Early Sepsis Biomarker for Neonates with Suspected Sepsis. Mediators Inflamm 2023; 2023:9077787. [PMID: 37197571 PMCID: PMC10185419 DOI: 10.1155/2023/9077787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/03/2022] [Accepted: 04/26/2023] [Indexed: 05/19/2023] Open
Abstract
Background Neonatal sepsis is an extremely dangerous and fatal disease among neonates, and its timely diagnosis is critical to treatment. This research is aimed at evaluating the clinical significance of the lymphocyte-to-C-reactive protein ratio (LCR) as an early sepsis indicator in neonates with suspected sepsis. Methods Between January 2016 and December 2021, 1269 neonates suspected of developing sepsis were included in this research. Among them, sepsis was diagnosed in 819 neonates, with 448 severe cases, as per the International Pediatric Sepsis Consensus. Data related to clinical and laboratory tests were obtained via electronic medical records. LCR was calculated as total lymphocyte (109 cells/L)/C-reactive protein (mg/L). Multivariate logistic regression analysis was employed to evaluate the effectiveness of LCR as an independent indicator for determining sepsis in susceptible sepsis neonates. Receiver operating characteristic (ROC) curve analysis was conducted for investigating the diagnostic significance of LCR in sepsis. When suitable, the statistical tool SPSS 24.0 was used for statistical analyses. Results LCR decreased significantly in the control, mild, and severe sepsis groups. Further analyses exhibited that there was a substantially greater incidence of sepsis in neonates in the low-LCR group (LCR ≤ 3.94) as opposed to the higher LCR group (LCR > 3.94) (77.6% vs. 51.4%, p < 0.001). Correlation analysis indicated a substantial negative association of LCR with procalcitonin (r = -0.519, p < 0.001) and hospital stay duration (r = -0.258, p < 0.001). Multiple logistic regression analysis depicted LCR as an independent indicator for identifying sepsis and severe cases of this disease. ROC curve analysis indicated the optimal cutoff value of LCR in identifying sepsis to be 2.10, with 88% sensitivity and 55% specificity. Conclusions LCR has proven to be a potentially strong biomarker capable of identifying sepsis in a timely manner in neonates suspected to have the disease.
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Affiliation(s)
- Xiaojuan Li
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Yulei Wei
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Zhe Xu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Tiewei Li
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
- The Center of Henan Children's Neurodevelopmental Engineering Research, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Geng Dong
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Xinrui Liu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Zhiwei Zhu
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Jianwei Yang
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Junmei Yang
- Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China
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16
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Mareev VY, Orlova YA, Plisuk AG, Pavlikova EP, Akopyan ZA, Matskeplishvili ST, Malahov PS, Krasnova TN, Seredenina EM, Potapenko AV, Agapov МA, Asratyan DA, Dyachuk LI, Samokhodskaya LM, Mershina EM, Sinitsyn VE, Mareev YV, Shatokhina EA, Begrambekova YL, Kamalov AA. Proactive anti-inflammatory therapy in the advanced stages of a new coronavirus infection. Main results of the inpatient phase of the COLORIT study (Colchicin vs. Ruxolitinib and secukinumab in an open, prospective, randomized trial in patients with novel coronavirus infection COVID-19). KARDIOLOGIIA 2022; 62:11-22. [PMID: 36636972 DOI: 10.18087/cardio.2022.12.n2316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/28/2022] [Indexed: 01/14/2023]
Abstract
Aim To evaluate clinical efficacy of the proactive anti-inflammatory therapy in patients hospitalized for COVID-19 with pneumonia and a risk of "cytokine storm".Material and methods The COLORIT study was a comparative study with randomization into 4 groups: colchicine (n=21) 1 mg for the first 3 days followed by 0.5 mg/day through day 12 or discharge from the hospital; secukinumab 300 mg/day, s.c., as a single dose (n=20); ruxolitinib 5 mg, twice a day (n=10); and a control group with no anti-inflammatory therapy (n=22). The effect was evaluated after 12±2 days of inpatient treatment or upon discharge, what comes first. For ethical reasons, completely randomized recruitment to the control group was not possible. Thus, for data analysis, 17 patients who did not receive any anti-inflammatory therapy for various reasons not related with inclusion into the study were added to the control group of 5 randomized patients. Inclusion criteria: presence of coronavirus pneumonia (positive PCR test for SARS-CoV-2 RNA or specific clinical presentation of pneumonia; IDC-10 codes U07.1 and U07.2); C-reactive protein (CRP) concentration >60 mg/l or its threefold increase from baseline; at least 2 of 4 symptoms (fever >37.5 °C, persistent cough, shortness of breath with inspiratory rate >20 per min or blood saturation with oxygen <94 % by the 7th-9th day of disease. The study primary endpoint was changes in COVID Clinical Condition Scale (CCS-COVID) score. The secondary endpoints were the dynamics of CRP and changes in the area of lung lesion according to data of computed tomography (CT) of the lungs from the date of randomization to 12±2 days.Results All three drugs significantly reduced inflammation, improved the clinical course of the disease, and decreased the disease severity as evaluated by the CCS score: in the ruxolitinib group, by 5.5 (p=0.004); in the secukinumab group, by 4 (p=0.096); in the colchicine group, by 4 (p=0.017), and in the control group, by 2 (р=0.329). In all three groups, the CCS-COVID score was 2-3 by the end of observation period, which corresponded to a mild process, while in the control group, the score was 7 (р=0.005). Time-related changes in CRP were significant in all three anti-inflammatory treatment groups with no statistical difference between the groups. By the end of the study, changes in CT of the lungs were nonsignificant.Conclusion In severe СOVID-19 with a risk of "cytokine storm", the proactive therapy with ruxolitinib, colchicine, and secukinumab significantly reduces the inflammation severity, prevents the disease progression, and results in clinical improvement.
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Affiliation(s)
- V Yu Mareev
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - Yа A Orlova
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - A G Plisuk
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - E P Pavlikova
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - Z A Akopyan
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - S T Matskeplishvili
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow
| | - P S Malahov
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow
| | - T N Krasnova
- School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - E M Seredenina
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - A V Potapenko
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - М A Agapov
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - D A Asratyan
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow
| | - L I Dyachuk
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - L M Samokhodskaya
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - E M Mershina
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - V E Sinitsyn
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - Yu V Mareev
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; National Medical Research Center of Therapy and Preventive Medicine, Moscow
| | - E A Shatokhina
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow
| | - Yu L Begrambekova
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
| | - A A Kamalov
- Medical Research and Educational Center, Lomonosov Moscow State University, Moscow; School of Fundamental Medicine, Lomonosov Moscow State University, Moscow
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17
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Botoș ID, Pantiș C, Bodolea C, Nemes A, Crișan D, Avram L, Negrău MO, Hirișcău IE, Crăciun R, Puia CI. The Dynamics of the Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios Predict Progression to Septic Shock and Death in Patients with Prolonged Intensive Care Unit Stay. MEDICINA (KAUNAS, LITHUANIA) 2022; 59:32. [PMID: 36676656 PMCID: PMC9861709 DOI: 10.3390/medicina59010032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/12/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022]
Abstract
Background and objectives: The prognoses of patients experiencing a prolonged stay in the intensive care unit (ICU) are often significantly altered by hospital-acquired infections (HAIs), the early detection of which might be cumbersome. The aim of this study was to investigate the roles of the neutrophil-to-lymphocyte (NLR), derived-NRL (d-NLR), platelet-to-lymphocyte (PLR), and lymphocyte-to-C-reactive protein (LCR) ratios in predicting the progression to septic shock and death. Materials and Methods: A retrospective analysis of a consecutive series of ninety COVID-19 patients with prolonged hospitalization (exceeding 15 days) admitted to the ICU was conducted. The prevalence of culture-proven HAIs throughout their hospital stays was documented. NLR, dNLR, PLR, and LCR were recorded on admission, day 7, and day 14 to assess their discriminative prowess for detecting further progression to septic shock or death. Results: The prevalence of HAIs was 76.6%, 50% of patients met the criteria for septic shock, and 50% died. The median time to the first positive culture was 13.5 days and 20.5 days for developing septic shock. Mechanical ventilation was a key contributing factor to HAI, septic shock, and mortality. On admission and day 7 NLR, dNLR, PLR, and LCR values had no prognostic relevance for events occurring late during hospitalization. However, day-14 NLR, dNLR, and PLR were independent predictors for progression to septic shock and mortality and have shown good discriminative capabilities. The AUCs for septic shock were 0.762, 0.764, and 0.716, while the values for predicting in-hospital death were 0.782, 0.778, and 0.758, respectively. Conclusions: NLR, dNLR, and PLR are quick, easy-to-use, cheap, effective biomarkers for the detection of a more severe disease course, of the late development of HAIs, and of the risk of death in critically ill patients requiring a prolonged ICU stay.
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Affiliation(s)
- Ioana Denisa Botoș
- Faculty of Medicine and Pharmacy, University of Oradea, 410068 Oradea, Romania
| | - Carmen Pantiș
- Faculty of Medicine and Pharmacy, University of Oradea, 410068 Oradea, Romania
| | - Constantin Bodolea
- Intensive Care Unit, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Andrada Nemes
- Intensive Care Unit, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Dana Crișan
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Department of Internal Medicine, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania
| | - Lucreția Avram
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Department of Internal Medicine, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania
| | | | - Ioana Elisabeta Hirișcău
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Rareș Crăciun
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Gastroenterology Clinic, “Prof. Dr. O. Fodor” Regional Institute of Gastroenterology and Hepatology, 400162 Cluj-Napoca, Romania
| | - Cosmin Ioan Puia
- Faculty of Medicine and Pharmacy, University of Oradea, 410068 Oradea, Romania
- Faculty of Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Department of Surgery, “Prof. Dr. O. Fodor” Regional Institute of Gastroenterology and Hepatology, 400162 Cluj-Napoca, Romania
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18
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Belchior-Bezerra M, Lima RS, Medeiros NI, Gomes JAS. COVID-19, obesity, and immune response 2 years after the pandemic: A timeline of scientific advances. Obes Rev 2022; 23:e13496. [PMID: 35837843 PMCID: PMC9349458 DOI: 10.1111/obr.13496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 02/06/2023]
Abstract
In the 2 years since the COVID-19 pandemic was officially declared, science has made considerable strides in understanding the disease's pathophysiology, pharmacological treatments, immune response, and vaccination, but there is still much room for further advances, especially in comprehending its relationship with obesity. Science has not yet described the mechanisms that explain how obesity is directly associated with a poor prognosis. This paper gathers all published studies over the past 2 years that have described immune response, obesity, and COVID-19, a historical and chronological record for researchers and the general public alike. In summary, these studies describe how the cytokine/adipokine levels and inflammatory markers, such as the C-reactive protein, are associated with a higher body mass index in COVID-19-positive patients, suggesting that the inflammatory background and immune dysregulation in individuals with obesity may be expressed in the results and that adiposity may influence the immune response. The timeline presented here is a compilation of the results of 2 years of scientific inquiry, describing how the science has progressed, the principal findings, and the challenges ahead regarding SARS-CoV-2, COVID-19, and emerging variants, especially in patients with obesity.
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Affiliation(s)
- Mayara Belchior-Bezerra
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Rafael Silva Lima
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Nayara I Medeiros
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Imunologia Celular e Molecular, Instituto René Rachou, Fundação Oswaldo Cruz - FIOCRUZ, Belo Horizonte, Brazil
| | - Juliana A S Gomes
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Alizadeh N, Tabatabaei FS, Azimi A, Faraji N, Akbarpour S, Dianatkhah M, Moghaddas A. Lactate Dehydrogenase to Albumin ratio as a Predictive Factor of COVID-19 Patients' Outcome; a Cross-sectional Study. ARCHIVES OF ACADEMIC EMERGENCY MEDICINE 2022; 10:e63. [PMID: 36033986 PMCID: PMC9397596 DOI: 10.22037/aaem.v10i1.1646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Despite the increasing vaccination coverage, COVID-19 is still a concern. With the limited health care capacity, early risk stratification is crucial to identify patients who should be prioritized for optimal management. The present study investigates whether on-admission lactate dehydrogenase to albumin ratio (LAR) can be used to predict COVID-19 outcomes. METHODS This retrospective cross-sectional study evaluated hospitalized COVID-19 patients in an academic referral center in Iran from May 2020 to October 2020. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the value of LAR in the prediction of mortality. The Yuden index was used to find the optimal cut-off of LAR to distinguish severity. Patients were classified into three groups (LAR tertiles), first: LAR<101.46, second: 101.46≤LAR< 148.78, and third group: LAR≥148.78. Logistic regression analysis was used to identify the association between tertiles of LAR, as well as the relationship between each one-unit increase in LAR with mortality and ICU admission in three models, based on potential confounding variables. RESULTS A total of 477 patients were included. Among all patients, 100 patients (21%) died, and 121 patients (25.4%) were admitted to intensive care unit (ICU). In the third group, the risk of mortality and ICU admission increased 7.78 times (OR=7.78, CI: 3.95-15.26; p <0.0001) and 4.49 times (OR=4.49, CI: 2.01-9.04; p <0.0001), respectively, compared to the first group. The AUC of LAR for prediction of mortality was 0.768 (95% CI 0.69- 0.81). LAR ≥ 136, with the sensitivity and specificity of 72% (95%CI: 62.1-80.5) and 70% (95%CI: 64.9-74.4), respectively, was the optimal cut-off value for predicting mortality. CONCLUSION High LAR was associated with higher odds of COVID-19 mortality, ICU admission, and length of hospitalization. On-admission LAR levels might help health care workers identify critical patients early on.
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Affiliation(s)
- Nafiseh Alizadeh
- Department of Pharmaceutical Care, Baharlou Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Amirali Azimi
- Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Corresponding author: Amirali Azimi; Men's Health and Reproductive Health Research Center, Shohada Tajrish Hospital, Tehran, Iran. , Tel: (+98) 910 140 7012
| | - Neda Faraji
- Department of Internal Medicine, Baharlou Hospital, Tehran University of Medical Sciences, Tehran, Iran.,Second Corresponding author: Neda Faraji; Department of Internal Medicine, Baharlou Hospital, Tehran University of Medical Sciences, Tehran, Iran. , Tel: (+98) 919 268 6990
| | - Samaneh Akbarpour
- Occupational Sleep Research Center, Baharlou Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehrnoush Dianatkhah
- Department of Clinical Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Azadeh Moghaddas
- Department of Clinical Pharmacy and Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, Cancer Prevention Research Center, Seyyed Al-Shohada Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
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20
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Parthasarathi A, Padukudru S, Arunachal S, Basavaraj CK, Krishna MT, Ganguly K, Upadhyay S, Anand MP. The Role of Neutrophil-to-Lymphocyte Ratio in Risk Stratification and Prognostication of COVID-19: A Systematic Review and Meta-Analysis. Vaccines (Basel) 2022; 10:vaccines10081233. [PMID: 36016121 PMCID: PMC9415708 DOI: 10.3390/vaccines10081233] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 01/18/2023] Open
Abstract
Several studies have proposed that the neutrophil−lymphocyte ratio (NLR) is one of the various biomarkers that can be useful in assessing COVID-19 disease-related outcomes. Our systematic review analyzes the relationship between on-admission NLR values and COVID-19 severity and mortality. Six different severity criteria were used. A search of the literature in various databases was conducted from 1 January 2020 to 1 May 2021. We calculated the pooled standardized mean difference (SMD) for the collected NLR values. A meta-regression analysis was performed, looking at the length of hospitalization and other probable confounders, such as age, gender, and comorbidities. A total of sixty-four studies were considered, which included a total of 15,683 patients. The meta-analysis showed an SMD of 3.12 (95% CI: 2.64−3.59) in NLR values between severe and non-severe patients. A difference of 3.93 (95% CI: 2.35−5.50) was found between survivors and non-survivors of the disease. Upon summary receiver operating characteristics analysis, NLR showed 80.2% (95% CI: 74.0−85.2%) sensitivity and 75.8% (95% CI: 71.3−79.9%) specificity for the prediction of severity and 78.8% (95% CI: 73.5−83.2%) sensitivity and 73.0% (95% CI: 68.4−77.1%) specificity for mortality, and was not influenced by age, gender, or co-morbid conditions. Conclusion: On admission, NLR predicts both severity and mortality in COVID-19 patients, and an NLR > 6.5 is associated with significantly greater the odds of mortality.
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Affiliation(s)
| | - Sunag Padukudru
- Yenepoya Medical College, Yenepoya University, Mangalore 575018, India;
| | - Sumalata Arunachal
- Department of Respiratory Medicine, JSS Medical College, JSSAHER, Mysore 570015, India; (S.A.); (C.K.B.)
| | - Chetak Kadabasal Basavaraj
- Department of Respiratory Medicine, JSS Medical College, JSSAHER, Mysore 570015, India; (S.A.); (C.K.B.)
| | - Mamidipudi Thirumala Krishna
- University Hospitals Birmingham NHS Foundation Trust, Institute of Immunology Immunotherapy, University of Birmingham, Birmingham B15 2GW, UK;
| | - Koustav Ganguly
- Unit of Integrative Toxicology, Institute of Environmental Medicine (IMM), Karolinska Institutet, 17177 Stockholm, Sweden;
| | - Swapna Upadhyay
- Unit of Integrative Toxicology, Institute of Environmental Medicine (IMM), Karolinska Institutet, 17177 Stockholm, Sweden;
- Correspondence: (S.U.); (M.P.A.)
| | - Mahesh Padukudru Anand
- Department of Respiratory Medicine, JSS Medical College, JSSAHER, Mysore 570015, India; (S.A.); (C.K.B.)
- Correspondence: (S.U.); (M.P.A.)
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21
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Li HY, Gao N, Liu CY, Liu XL, Wu F, Dai N, Han J, Li QY. The Cholesterol-Binding Sequence in Monomeric C-Reactive Protein Binds to the SARS-CoV-2 Spike Receptor-Binding Domain and Blocks Interaction With Angiotensin-Converting Enzyme 2. Front Immunol 2022; 13:918731. [PMID: 35874670 PMCID: PMC9304929 DOI: 10.3389/fimmu.2022.918731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/10/2022] [Indexed: 01/08/2023] Open
Abstract
The receptor-binding domain (RBD) of the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to the human angiotensin-converting enzyme 2 (ACE2) receptor, which is a prerequisite for the virus to enter the cell. C-reactive protein (CRP) is an important marker of inflammation and is a putative soluble pattern recognition receptor. Clinical elevation of CRP levels in patients with COVID-19 is one of the characteristics of the disease; however, whether CRP is involved in COVID-19 pathogenesis is unknown. Here, we report that monomeric CRP (mCRP) can bind to the SARS-CoV-2 spike RBD and competitively inhibit its binding to ACE2. Furthermore, truncated mutant peptide competition assays and surface plasmon resonance binding experiments showed that the cholesterol-binding sequence (CBS, amino acids 35-47) in mCRP was critical for mediating the binding of mCRP to spike RBD. In a cell model of spike RBD and ACE2 interaction, the CBS motif effectively reduced the binding of spike RBD to ACE2 overexpressed on the cell surface. Thus, this study highlights the pattern recognition function of mCRP in innate immunity and provides a preliminary theoretical basis for the development of the CBS motif in mCRP into a functional peptide with both diagnostic significance and potential therapeutic capabilities.
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Affiliation(s)
- Hai-yun Li
- Ministry of Education (MOE) Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
| | - Ning Gao
- Department of Infectious Disease, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Cheng-yang Liu
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xiao-ling Liu
- Ministry of Education (MOE) Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Feng Wu
- Center of Teaching and Experiment for Medical Post Graduates, School of Medicine, Xian Jiotong University, Xian, China
| | - Nini Dai
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Jing Han
- Ministry of Education (MOE) Key Laboratory of Environment and Genes Related to Diseases, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, China
| | - Qiu-yu Li
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
- *Correspondence: Qiu-yu Li,
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22
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He X, Su A, Xu Y, Ma D, Yang G, Peng Y, Guo J, Hu M, Ma Y. Prognostic Role of Lymphocyte-C-Reactive Protein Ratio in Colorectal Cancer: A Systematic Review and Meta Analysis. Front Oncol 2022; 12:905144. [PMID: 35875086 PMCID: PMC9296779 DOI: 10.3389/fonc.2022.905144] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/31/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction The lymphocyte-C-reactive protein ratio (LCR) is a new immunoinflammatory score and prognostic marker, but the relationship between this index and the prognosis of colorectal cancer patients remains controversial.Therefore, aim of the study was to assess the relationship between LCR and prognosis for colorectal cancer patients through a systematic evaluation and meta-analysis. Methods We systematically searched PubMed, EMBASE, Web of Science, and Cochrane Library databases for randomized controlled studies and observational studies on the relationship between LCR and prognosis of colorectal cancer patients, all searched from the date of database creation to January 6, 2022.Our primary endpoints observed were overall survival (OS) and disease-free survival (DFS) of colorectal cancer patients, and secondary observables were basic characteristics of included studies, such as country, study duration, sample size, LCR threshold, and pathological characteristics of patients in each study, such as degree of differentiation, gender, tumor location, T stage, and lymphatic metastasis. Results A total of 10 case-control studies including 7068 patients were included. Meta-analysis results showed that overall survival (OS) and disease-free survival (DFS) were worse in colorectal cancer patients with lower levels of LCR (HR=0.44, 95% CI=0.38-0.52, P<0.001; HR=0.56, 95% CI=0.41-0.76, P< 0.001).Subgroup analysis based on country, study length, sample size, and LCR threshold showed that lower levels of LCR were all associated with poorer OS (P < 0.05). Regarding pathological characteristics, patients in the low LCR group were generally poorly differentiated (OR=1.79, 95% CI=1.55-2.07, P<0.001), while there was no significant relationship with gender, tumor location, T stage, and lymphatic metastasis (P>0.05). Discussion/Conclusion LCR can be used as a prognostic marker for colorectal cancer patients, and patients with lower levels of LCR may have a poor prognosis. Due to the limitation of the number and quality of the included studies, the above findings need to be validated by more high-quality studies. Systematic Review Registration https://www.crd.york.ac.uk/prospero/, identifier CRD42022296563.
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Affiliation(s)
- Xinglong He
- The First Clinical School of Gansu University of Chinese Medicine, Lanzhou, China
- General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou, China
- Gansu Provincial Key Laboratory of Molecular Diagnosis and Precision Therapy of Surgical Tumors, Gansu Provincial People’s Hospital, Lanzhou, China
| | - Ade Su
- The Second Clinical Medical College of Lanzhou University, Lanzhou, China
| | - Yongcheng Xu
- The First Clinical School of Gansu University of Chinese Medicine, Lanzhou, China
- General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou, China
- Gansu Provincial Key Laboratory of Molecular Diagnosis and Precision Therapy of Surgical Tumors, Gansu Provincial People’s Hospital, Lanzhou, China
| | - Diaolong Ma
- The First Clinical School of Gansu University of Chinese Medicine, Lanzhou, China
- General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou, China
- Gansu Provincial Key Laboratory of Molecular Diagnosis and Precision Therapy of Surgical Tumors, Gansu Provincial People’s Hospital, Lanzhou, China
| | - Guoyuan Yang
- The First Clinical School of Gansu University of Chinese Medicine, Lanzhou, China
- General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou, China
- Gansu Provincial Key Laboratory of Molecular Diagnosis and Precision Therapy of Surgical Tumors, Gansu Provincial People’s Hospital, Lanzhou, China
| | - Yiyun Peng
- The First Clinical School of Gansu University of Chinese Medicine, Lanzhou, China
- General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou, China
- Gansu Provincial Key Laboratory of Molecular Diagnosis and Precision Therapy of Surgical Tumors, Gansu Provincial People’s Hospital, Lanzhou, China
| | - Jin Guo
- The first Department of general surgery, Gansu Provincial People's Hospital, Lanzhou, China
| | - Ming Hu
- The first Department of general surgery, Gansu Provincial People's Hospital, Lanzhou, China
| | - Yuntao Ma
- The First Clinical School of Gansu University of Chinese Medicine, Lanzhou, China
- General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou, China
- Gansu Provincial Key Laboratory of Molecular Diagnosis and Precision Therapy of Surgical Tumors, Gansu Provincial People’s Hospital, Lanzhou, China
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23
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ÇELİK ÇO, ÇIFTCI O, ÖZER N, MÜDERRİSOĞLU H. COVID-19'da hastane içi mortaliteyi tahmin etmede enflamatuvar temelli parametrelerin ve MELD-XI skorunun 4C mortalite skoru ile karşılaştırılması. CUKUROVA MEDICAL JOURNAL 2022. [DOI: 10.17826/cumj.1050872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Purpose: In this study, we compared the roles of inflammatory parameters such as neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), C-reactive protein/lymphocyte ratio (CLR), monocyte/lymphocyte ratio (MLR), neutrophil/platelet ratio (NPR), neutrophil/monocyte ratio (NMR), CRP/albumin ratio (CAR), BUN/albumin ratio (BAR), MELD-XI score and 4C mortality score in predicting in-hospital mortality risk in COVID-19.
Materials and Methods: A total of 117 patients over 18 years old with a PCR-confirmed diagnosis of COVID-19 between June 2020 and February 2021 were retrospectively included. The roles of parameters for independently predicting in-hospital mortality were determined and compared with each other using appropriate statistical methods.
Results: Age, chronic kidney disease, diabetes mellitus, acute kidney injury, and length of hospital stay, urea, creatinine, LDH, AST, ferritin, D-dimer, CRP, albumin, Hb, CLR, BAR, CAR, MELD-XI score, and 4C mortality score were significantly correlated to in-hospital mortality. However, only the 4C mortality score and AST independently predicted in-hospital mortality in COVID-19 [OR 2.08 (%95 CI 1.06-2.36), for 4C mortality score, and OR 1.05 (%95 CI 1.00-1.10), for AST].
Conclusion: Unlike other mortality-related inflammatory parameters, the 4C mortality score and AST were independent and strong predictors of mortality in hospitalized COVID-19 patients.
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Affiliation(s)
| | - Orçun ÇIFTCI
- Başkent University Ankara Training and Research Hospital
| | - Nurtaç ÖZER
- Başkent University Konya Practise and Research Hospital
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24
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Lymphocyte-CRP-ratio and CRP-albumin-ratio as potential inflammation markers in adults with HIV. J Acquir Immune Defic Syndr 2022; 91:e1-e3. [DOI: 10.1097/qai.0000000000003028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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25
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Tyurin AV, Salimgareeva MK, Miniakhmetov IR, Khusainova RI, Samorodov A, Pavlov VN, Kzhyshkowska J. Correlation of the Imbalance in the Circulating Lymphocyte Subsets With C-Reactive Protein and Cardio-Metabolic Conditions in Patients With COVID-19. Front Immunol 2022; 13:856883. [PMID: 35603207 PMCID: PMC9120577 DOI: 10.3389/fimmu.2022.856883] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/08/2022] [Indexed: 12/04/2022] Open
Abstract
The immune system is severely compromised in patients with COVID-19. The representative group of 43 patients were selected from the cohort of 342 patients with COVID-19 and pneumonia. This group of 43 patients was examined for the levels of C-reactive protein, biomarker of systemic inflammation, and for the subsets of adaptive immune cells. The immunological parameters were correlated with the metabolic parameters and cardiovascular pathology history. We identified that a decrease in the absolute number of T-lymphocytes, T-cytotoxic, T-activated and B-lymphocytes correlated with the higher levels of CRP. The absolute number of T-helpers and the absolute number of double positive T-lymphocytes positively correlated with the levels of iron in serum (Z= 0,310 and Z=0,394). The absolute numbers of T-activated lymphocytes positively correlated with serum levels of LDH (Z = 0,422), ferritin (Z = 0,407) and iron (Z = 0,418). When studying subpopulations of lymphocytes, depending on the combined pathology, we found that the absolute numbers of B-lymphocytes and double positive T-lymphocytes in the peripheral blood were significantly reduced in patients with arterial hypertension (p=0,0074 and p=0,0227, correspondingly). The increased levels of NK cell were found in patients with a history of coronary heart disease (p=0,0108). In addition, we found that deficiencies in the adaptive immune system correlated with the deficiencies in iron metabolism. The cardiovascular pathology upsets the balance in the adaptive and innate immune system in the circulation of patient with severe COVID-19.
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Affiliation(s)
- Anton V. Tyurin
- Internal Medicine Department, Bashkir State Medical University, Ufa, Russia
| | | | - Ildar R. Miniakhmetov
- Republic Medical Genetic Center, Ufa, Russia
- Medical Genetics Department, Bashkir State Medical University, Ufa, Russia
| | - Rita I. Khusainova
- Republic Medical Genetic Center, Ufa, Russia
- Medical Genetics Department, Bashkir State Medical University, Ufa, Russia
| | - Alexandr Samorodov
- Department of Pharmacology, Bashkir State Medical University, Ufa, Russia
| | | | - Julia Kzhyshkowska
- Institute of Transfusion Medicine and Immunology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- German Red Cross Blood Service Baden-Württemberg – Hessen, Mannheim, Germany
- Laboratory for Translational Cell and Molecular Biomedicine, Tomsk State University, Tomsk, Russia
- *Correspondence: Julia Kzhyshkowska,
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Evaluation of individual and combined NLR, LMR and CLR ratio for prognosis disease severity and outcomes in patients with COVID-19. Int Immunopharmacol 2022; 109:108781. [PMID: 35461157 PMCID: PMC9015974 DOI: 10.1016/j.intimp.2022.108781] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 04/14/2022] [Accepted: 04/14/2022] [Indexed: 01/08/2023]
Abstract
Object The study aimed to utilize the peripheral blood immunological parameters and resulting individual and combined inflammatory indices [neutrophil/lymphocyte ratio (NLR), lymphocyte/monocyte ratio (LMR) and C-reactive protein/lymphocyte ratio (CLR)] in predicting the prognosis and mortality in COVID-19 patients. Materials and methods The measurements of individual and combined inflammatory indices (NLR, LMR and CLR) were performed at hospital admission and at last day of hospitalization for COVID-19 patients. Results Prominent elevation of NLR and CLR among patients with refractory disease admitted to Intensive Care Unit (ICU) and deceased patients was found when compared with moderate ill patients and healthy controls. Interestingly, NLR and CLR typically returned to near normal value as patients recover from severe infection. By contrast, deceased patients had persistent increased NLR and CLR until last day of hospitalization in ICU. ROC obtained for the above parameters showed that NLR and CLR were the most associated immunological parameters with the severity of COVID-19 disease. Using multivariate logistic regression analysis, CLR > 69.46 is an independent prognostic factors in identifying critically ill COVID-19 cases. Study of the combined markers NLR and CLR showed that most of patients admitted in ICU were characterized with high NLR combined with high CLR, while most of healthy subjects and non-ICU group have low NLR combined with low CLR. Conclusion The combination of NLR and CLR could improve the predictive efficacy compared to individual markers to segregate patients who will develop a severe disease from those with a mild pathology.
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Neutrophil-to-Lymphocyte Ratio (NLR) Is a Promising Predictor of Mortality and Admission to Intensive Care Unit of COVID-19 Patients. J Clin Med 2022; 11:jcm11082235. [PMID: 35456328 PMCID: PMC9027549 DOI: 10.3390/jcm11082235] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/13/2022] [Accepted: 04/13/2022] [Indexed: 01/27/2023] Open
Abstract
The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission.
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Ntalouka MP, Pantazopoulos I, Brotis AG, Pagonis A, Vatsiou I, Chatzis A, Rarras CN, Kotsi P, Gourgoulianis KI, Arnaoutoglou EM. Prognostic role of simple inflammatory biomarkers in patients with severe COVID-19: an observational study. Hippokratia 2022; 26:70-77. [PMID: 37188050 PMCID: PMC10177850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
BACKGROUND/AIM Simple inflammatory biomarkers, such as neutrophil to lymphocyte ratio (NLR), could serve as prognosis indicators in patients with Coronavirus disease 2019 (COVID-19). The utility of on-admission inflammatory biomarkers in predicting outcomes was investigated in patients suffering from severe COVID-19 infection. METHODS We performed a retrospective study to assess the role of white blood count (WBC), neutrophils (N), lymphocyte (L), platelets (PLTs), C-reactive protein (CRP), reverse transcription polymerase chain reaction (RT-PCR), NLR (N/L), PLR (P/L), dv (derived variation of)-NLR (N/WBC-L), LNR (L/N), dv (derived variation of)-LNR (L/WBC-N), and CLR (CRP/L), in predicting the need for high-flow nasal cannula (HFNC) use, admission to Intensive Care Unit (ICU), and death in adult patients with severe COVID-19 admitted to the Department of Respiratory Medicine from April to September 2021. RESULTS One hundred and fifteen patients (60 % males) with a mean age of 57.7 ± 16.3 years were included. Thirty-seven patients (32.2 %) required escalation with HFNC, eight patients (7 %) were admitted to the ICU, and nine patients (7.8%) died. Based on univariate analysis, CRP [odds ratio (OR): 1.25, 95 % confidence interval (CI): 1.1-1.42), LNR (OR: 0.015, 95 % CI: 0.00-0.35), dv-NLR (OR: 5*106, 95 % CI: 26.7-9*109), CLR (OR: 7*1058, 95 % CI: 3*1025-2*1092), length of hospitalization (LOH; OR: 1.44, 95 % CI: 1.22-1.63), dyspnea at presentation (OR: 2.83, 95 % CI: 1.23-6.52), and ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO2/FiO2) on admission (OR: 0.967, 95 % CI: 0.952-0.983) were independent predictors for oxygen requirements. However, the multivariate analysis showed that LNR (OR: 1.686e0-4, 95 % CI: 6.441e00-8-0.441), PaO2/FiO2 on admission (OR: 0.965, 95 % CI: 0.941-0.989), and LOH (OR: 1.717, 95 % CI: 1.274-2.314) were the most important predictor for HFNC use. Nasal congestion at presentation (OR: 11.5, 95 % CI: 1.61-82.8) was a unique and independent predictor for ICU admission. As far as death is concerned, the univariate analysis identified elevated CRP (OR: 1.11, 95 % CI: 1.0-1.24), low RT-PCR (OR: 0.829, 95 % CI: 0.688-0.999), high CLR (OR: 3.2*1033, 95 % CI: 5.8-1.8*1066), age (OR: 1.08, 95 % CI: 1.02-1.14), body mass index (BMI) over 30 (OR: 5.25, 95 % CI: 1.26-21.96), the chronic use of angiotensin-converting enzyme inhibitors (OR: 5.72, 95 % CI: 1.35-24.09), nitrates (OR: 14.85, 95 % CI: 1.81-121.8), diuretics (OR: 8.21, 95 % CI: 1.97-34.32), PaO2/FiO2 on admission (OR: 0.983, 95 % CI: 0.970-0.998), and nasal congestion at presentation (OR: 9.81, 95 % CI: 1.40-68.68) as independent predictors. However, the multivariate analysis pinpointed that obesity (BMI >30) (OR: 10.498, 95 % CI: 1.107-99.572) remained the most important predictor for death. CONCLUSION LNR and PaO2/FiO2 on admission could be used to timely identify patients requiring HFNC during hospitalization, while obesity (BMI >30) could be an independent predictor of death. Nasal congestion emerges as a unique predictor for ICU admission. HIPPOKRATIA 2022, 26 (2):70-77.
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Affiliation(s)
- M P Ntalouka
- Department of Anesthesiology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - I Pantazopoulos
- Department of Emergency Medicine, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
- Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - A G Brotis
- Department of Neurosurgery, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - A Pagonis
- Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - I Vatsiou
- Department of Anesthesiology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - A Chatzis
- Department of Anesthesiology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - C N Rarras
- Department of Anesthesiology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - P Kotsi
- Department of Transfusion Medicine, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - K I Gourgoulianis
- Department of Respiratory Medicine, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
| | - E M Arnaoutoglou
- Department of Anesthesiology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, Greece
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Mertoglu C, Huyut MT, Olmez H, Tosun M, Kantarci M, Coban TA. COVID-19 is more dangerous for older people and its severity is increasing: a case-control study. Med Gas Res 2022; 12:51-54. [PMID: 34677152 PMCID: PMC8562399 DOI: 10.4103/2045-9912.325992] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/26/2021] [Accepted: 08/09/2021] [Indexed: 12/15/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) triggers important changes in routine blood tests. In this retrospective case-control study, biochemical, hematological and inflammatory biomarkers between March 10, 2020, and November 30, 2020 from 3969 COVID-19 patients (3746 in the non-intensive care unit (non-ICU) group and 223 in the ICU group) were analyzed by dividing into three groups as spring, summer and autumn. In the non-ICU group, lymphocyte to monocyte ratio was lower in autumn than the other two seasons and neutrophil to lymphocyte ratio was higher in autumn than the other two seasons. Also, monocyte and platelet were higher in spring than autumn; and eosinophil, hematocrit, hemoglobin, lymphocyte, and red blood cells decreased from spring to autumn. In the non-ICU group, alanine aminotransferase and gamma-glutamyltransferase gradually increased from spring to autumn, while albumin, alkaline phosphatase, calcium, total bilirubin and total protein gradually decreased. Additionally, C-reactive protein was higher in autumn than the other seasons, erythrocyte sedimentation rate was higher in autumn than summer. The changes in routine blood biomarkers in COVID-19 varied from the emergence of the disease until now. Also, the timely changes of blood biomarkers were mostly more negative, indicating that the disease progresses severely. The study was approved by the Erzincan Binali Yildirim University Non-interventional Clinical Trials Ethic Committee (approval No. 86041) on June 21, 2021.
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Affiliation(s)
- Cuma Mertoglu
- Department of Clinical Biochemistry, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
- Department of Clinical Biochemistry, Faculty of Medicine, Inonu University, Malatya, Turkey
| | - Mehmet Tahir Huyut
- Department of Biostatistics, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Hasan Olmez
- Department of Pulmonology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Mustafa Tosun
- Department of Pulmonology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
| | - Mecit Kantarci
- Department of Radiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
- Department of Radiology, Faculty of Medicine, Ataturk University, Erzurum, Turkey
| | - Taha Abdulkadir Coban
- Department of Clinical Biochemistry, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
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Rathod BD, Amle D, Khot RS, Prathipati KK, Joshi PP. Neutrophil-to-Lymphocyte Ratio as a Predictor of Disease Severity and Mortality in Coronavirus Disease 2019: Prospective Study From Central India. Cureus 2022; 14:e23696. [PMID: 35519791 PMCID: PMC9064266 DOI: 10.7759/cureus.23696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2022] [Indexed: 11/08/2022] Open
Abstract
Background: Clinical presentation of coronavirus disease 2019 (COVID-19) varies from an asymptomatic state to severe disease characterized by acute respiratory distress syndrome, respiratory failure, thrombosis, and multi-organ dysfunction syndrome. The neutrophil-to-lymphocyte ratio (NLR) has been reviewed as one of the laboratory factors that have been proposed to predict the severity of disease and mortality in COVID-19 pandemic. Aim and objectives: To evaluate the association between NLR and the disease severity and mortality in COVID-19. Materials and methods: After approval from Institutional Ethics Committee, this prospective cohort study was carried out in a tertiary-care teaching medical institute of Central India. COVID-19 patients of the age group 18 years and above admitted during the study period were included. Cases were categorized into four groups as asymptomatic (Group A), mild (Group B), moderate (Group C), and severe (Group D) based on clinical symptoms, respiratory rate, oxygen saturation, and chest imaging. NLR was calculated by doing a complete blood count at the time of hospitalization by the Mindray BC-6000 auto hematology analyzer. The outcome of the disease was classified as recovery and death during hospitalization. Receiver operating characteristic (ROC) curve analysis was used to assess the ability of NLR at admission to predict severe COVID-19 or mortality. Ordinal regression analysis was used to assess the impact of NLR on disease severity and mortality. Results: Mean NLR was significantly higher in the severe COVID-19 group as compared to the mild/moderate group and in deceased as compared to discharged cases. ROC curve analysis revealed NLR to be an excellent predictor of disease severity as well as a prognostic parameter for risk of death. NLR was found to be a significant independent positive predictor for contracting the severe disease (Odd’s ratio 1.396, 95% CI=1.112-1.753, p=0.004) and mortality (Odd’s ratio 1.276, 95% CI=1.085-1.499, p=0.003). Conclusion: High NLR was significantly associated with the disease severity and mortality in COVID-19.
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Masotti L, Grifoni E, Pelagalli G, Cioni E, Mattaliano C, Cioffi E, Maggi F, Pinto G, Madonia EM, Micheletti I, Gelli AMG, Ciambotti B, Mannucci A, Bello R, Cei F, Dolenti S, Tarquini R, Montenora I, Spina R, Vanni S. Prognostic role of Interleukin-6/lymphocytes ratio in SARS-CoV2 related pneumonia. Int Immunopharmacol 2022; 103:108435. [PMID: 34920336 PMCID: PMC8660176 DOI: 10.1016/j.intimp.2021.108435] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/02/2021] [Accepted: 12/02/2021] [Indexed: 01/19/2023]
Abstract
Introduction and aim Materials and methods Results Conclusion
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So A, Yang Z, Li L, Li W, Pan C, Vivekanantha P, Yun HW, Xie XY, Yun CH, Huang WM, Hung CL, Gao M, Zhang X, Zha Y, Shen J. Relationship between lung injury extent and phenotype manifested in non-contrast CT and cardiac injury during acute stage of COVID-19. IJC HEART & VASCULATURE 2022; 38:100938. [PMID: 34977329 PMCID: PMC8709798 DOI: 10.1016/j.ijcha.2021.100938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 11/28/2021] [Accepted: 12/21/2021] [Indexed: 01/08/2023]
Abstract
PURPOSE This study evaluated the diagnostic values of the extent of lung injury manifested in non-contrast enhanced CT (NCCT) images, the inflammatory and immunological biomarkers C-reactive protein (CRP) and lymphocyte for detecting acute cardiac injury (ACI) in patients with COVID-19. The correlations between the NCCT-derived parameters and arterial blood oxygen level were also investigated. METHODS NCCT lung images and blood tests were obtained in 143 patients with COVID-19 in approximately two weeks after symptom onset, and arterial blood gas measurement was also acquired in 113 (79%) patients. The diagnostic values of normal, moderately and severely abnormal lung parenchyma volume relative to the whole lungs (RVNP, RVMAP, RVSAP, respectively) measured from NCCT images for detecting the heart injury confirmed with high-sensitivity troponin I assay was determined. RESULTS RVNP, RVMAP and RVSAP exhibited similar accuracy for detecting ACI in COVID-19 patients. RVNP was significantly lower while both RVMAP and RVSAP were significantly higher in the patients with ACI. All of the NCCT-derived parameters exhibited poor linear and non-linear correlations with PaO2 and SaO2. The patients with ACI had a significantly higher CRP level but a lower lymphocyte level compared to the patients without ACI. Combining one of these two biomarkers with any of the three NCCT-derived parameter further improved the accuracy for predicting ACI in patients with COVID-19. CONCLUSION The NCCT-delineated normal and abnormal lung parenchmyma tissues were statistically significant predictors of ACI in patients with COVID-19, but both exhibited poor correlations with the arterial blood oxygen level. The incremental diagnostic values of lymphocyte and CRP suggested viral infection and inflammation were closely related to the heart injury during the acute stage of COVID-19.
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Affiliation(s)
- Aaron So
- Imaging Program, Lawson Health Research Institute, London, Ontario, Canada
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Zehong Yang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Liang Li
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Wang Li
- Department of Infection Prevention and Control Office, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Cheng Pan
- Critical Care, London Health Sciences Centre, London, Ontario, Canada
| | - Prushoth Vivekanantha
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Hye Won Yun
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Xin Yue Xie
- Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Chun-Ho Yun
- Department of Radiology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Wei-Ming Huang
- Department of Radiology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Chung-Lieh Hung
- Department of Cardiology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Ming Gao
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xiang Zhang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yunfei Zha
- Department of Infection Prevention and Control Office, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jun Shen
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
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Farias JP, Silva PPCE, Codes L, Vinhaes D, Amorim AP, D’Oliveira RC, Farias AQ, Bittencourt PL. Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection. Rev Inst Med Trop Sao Paulo 2022; 64:e73. [DOI: 10.1590/s1678-9946202264073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
| | | | - Liana Codes
- Hospital Português da Bahia, Brazil; Escola Bahiana de Medicina e Saúde Pública, Brazil
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Prognostic Value of C-Reactive Protein to Lymphocyte Ratio (CLR) in Emergency Department Patients with SARS-CoV-2 Infection. J Pers Med 2021; 11:jpm11121274. [PMID: 34945746 PMCID: PMC8706788 DOI: 10.3390/jpm11121274] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 11/26/2021] [Accepted: 11/29/2021] [Indexed: 01/08/2023] Open
Abstract
(1) Introduction: According to recent studies, the ratio of C-reactive-protein to lymphocyte is more sensitive and specific than other biomarkers associated to systemic inflammatory processes. This study aimed to determine the prognostic value of CLR on COVID-19 severity and mortality at emergency department (ED) admission. (2) Methods: Between 1 March and 30 April 2020, we carried out a multicenter and retrospective study in six major hospitals of northeast France. The cohort was composed of patients hospitalized for a confirmed diagnosis of moderate to severe COVID-19. (3) Results: A total of 1,035 patients were included in this study. Factors associated with infection severity were the CLR (OR: 1.001, CI 95%: (1.000-1.002), p = 0.012), and the lymphocyte level (OR: 1.951, CI 95%: (1.024-3.717), p = 0.042). In multivariate analysis, the only biochemical factor significantly associated with mortality was lymphocyte rate (OR: 2.308, CI 95%: (1.286-4.141), p = 0.005). The best threshold of CLR to predict the severity of infection was 78.3 (sensitivity 79%; specificity 47%), and to predict mortality, was 159.5 (sensitivity 48%; specificity 70%). (4) Conclusion: The CLR at admission to the ED could be a helpful prognostic biomarker in the early screening and prediction of the severity and mortality associated with SARS-CoV-2 infection.
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CRP/LYMPHOCYTE RATIO IN PATIENTS WITH COVID-19 WITH HEADACHE. JOURNAL OF CONTEMPORARY MEDICINE 2021. [DOI: 10.16899/jcm.1001963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Nooh HA, Abdellateif MS, Refaat L, Kandeel EZ, Bayoumi A, Samra M, Khafagy M. The role of inflammatory indices in the outcome of COVID-19 cancer patients. Med Oncol 2021; 39:6. [PMID: 34748094 PMCID: PMC8573297 DOI: 10.1007/s12032-021-01605-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 10/27/2021] [Indexed: 02/08/2023]
Abstract
To assess the prognostic role of different inflammatory indices on the outcome of cancer patients with COVID-19. Sixty-two adults and 22 pediatric cancer patients with COVID-19 infection were assessed for the prognostic value of certain inflammatory indices including the neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), derived NLR (dNLR), systemic inflammation index (SII), mean platelet volume to platelet ratio (MPR), C-reactive protein to lymphocyte ratio (CRP/L), aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and neutrophil to lymphocyte, platelet ratio (NLPR). Data were correlated to patients' outcome regarding ICU admission, and incidence of mortality. Increased CRP/L ratio in adult COVID-19 cancer patients was significantly associated with inferior survival [152 (19-2253) in non-survivors, compared to 27.4 (0.8-681) in survivors (P = 0.033)]. It achieved a sensitivity (60%) and a specificity (90.2%) at a cut-off 152, while it achieved a sensitivity of 60% and specificity 95.1% at a cut-off 252 (AUC 0.795, P = 0.033). When combining both CRP/L and NLPR for the prediction of poor outcome in adult cancer patients with COVID19, the sensitivity increased to 80% and the specificity was 70.7% (AUC 0.805, P = 0.027). Increased incidence of ICU admission in pediatric cancer patients associated significantly with the severity of covid19 infection, decreased mean corpuscular hemoglobin (MCH) < 28.3, increased red cell distribution width (RDW) > 16, lymphopenia < 1.04, pseudo Pelger-Huet appearance, and PLR < 196.4 (P = 0.004, P = 0.040, P = 0.029, P = 0. 0.039, P = 0.050, and P = 0.040; respectively). The mean corpuscular volume (MCV), MCH, and RDW could be useful prognostic markers for poor outcome in COVID-19 pediatric cancer patients (P < 0.05 for all). Increased both CRP/L and NLPR associated significantly with poor survival in adult COVID-19 cancer patients, while PLR associated significantly with ICU admission in pediatric COVID-19 cancer patients.
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Affiliation(s)
- Hend A Nooh
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Mona S Abdellateif
- Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, Egypt. .,Medical Biochemistry and Molecular Biology, Cancer Biology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
| | - Lobna Refaat
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Eman Z Kandeel
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Ahmed Bayoumi
- Pediatric Oncology Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Mohamed Samra
- Medical Oncology Department, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Medhat Khafagy
- Surgical Oncology Department, National Cancer Institute, Cairo University, Cairo, Egypt
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Karimi A, Shobeiri P, Kulasinghe A, Rezaei N. Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis. Front Immunol 2021; 12:741061. [PMID: 34745112 PMCID: PMC8569430 DOI: 10.3389/fimmu.2021.741061] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/28/2021] [Indexed: 12/15/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inflammatory response. Studies have sought to understand the effects of inflammatory response markers to prognosticate the disease. Herein, we aimed to review the evidence of 11 groups of systemic inflammatory markers for risk-stratifying patients and prognosticating outcomes related to COVID-19. Numerous studies have demonstrated the effectiveness of neutrophil to lymphocyte ratio (NLR) in prognosticating patient outcomes, including but not limited to severe disease, hospitalization, intensive care unit (ICU) admission, intubation, and death. A few markers outperformed NLR in predicting outcomes, including 1) systemic immune-inflammation index (SII), 2) prognostic nutritional index (PNI), 3) C-reactive protein (CRP) to albumin ratio (CAR) and high-sensitivity CAR (hsCAR), and 4) CRP to prealbumin ratio (CPAR) and high-sensitivity CPAR (hsCPAR). However, there are a limited number of studies comparing NLR with these markers, and such conclusions require larger validation studies. Overall, the evidence suggests that most of the studied markers are able to predict COVID-19 prognosis, however NLR seems to be the most robust marker.
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Affiliation(s)
- Amirali Karimi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Parnian Shobeiri
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Arutha Kulasinghe
- Centre for Genomics and Personalised Health, School of Biomedical Q6 Sciences, Queensland University of Technology, Brisbane, QL, Australia
| | - Nima Rezaei
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Pulgar-Sánchez M, Chamorro K, Fors M, Mora FX, Ramírez H, Fernandez-Moreira E, Ballaz SJ. Biomarkers of severe COVID-19 pneumonia on admission using data-mining powered by common laboratory blood tests-datasets. Comput Biol Med 2021; 136:104738. [PMID: 34391001 PMCID: PMC8349478 DOI: 10.1016/j.compbiomed.2021.104738] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 07/14/2021] [Accepted: 08/02/2021] [Indexed: 12/23/2022]
Abstract
In the epidemiological COVID-19 research, artificial intelligence is a unique approach to make predictions about disease severity to manage COVID-19 patients. A limitation of artificial intelligence is, however, the high risk of bias. We investigated the skill of data mining and machine learning, two advanced forms of artificial intelligence, to predict severe COVID-19 pneumonia based on routine laboratory tests. A sample of 4009 COVID-19 patients was divided into Severe (PaO2< 60 mmHg, 489 cases) and Non-Severe (PaO2 ≥ 60 mmHg, 3520 cases) groups according to blood hypoxemia on admission and their laboratory datasets analyzed by the R software and WEKA workbench. After curation, data were processed for the selection of the most influential features including hemogram, pCO2, blood acid-base balance, prothrombin time, inflammation biomarkers, and glucose. The best fit of variables was successfully confirmed by either the Multilayer Perceptron, a feedforward neural network algorithm that performed machine recognition of severe COVID-19 with 96.5% precision, or by the C4.5 software, a supervised learning algorithm based on an objective-predefined variable (severity) that generated a decision tree with 89.4% precision. Finally, a complex bivariate Pearson's correlation matrix combined with advanced hierarchical clustering (dendrograms) were conducted for knowledge discovery. The hidden structure of the datasets revealed shift patterns related to the development of COVID-19-induced pneumonia that involved the lymphocyte-to-C-reactive protein and leukocyte-to-C-protein ratios, neutrophil %, pH and pCO2. The data mining approaches to the hematological fluctuations associated with severe COVID-19 pneumonia could not only anticipate adverse clinical outcomes, but also reveal putative therapeutic targets.
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Affiliation(s)
- Mary Pulgar-Sánchez
- Escuela de Ciencias Biológicas e Ingeniería. Universidad Yachay Tech, Urcuquí, Ecuador
| | - Kevin Chamorro
- Escuela de Matemáticas y Ciencias Computacionales. Universidad Yachay Tech, Urcuquí, Ecuador; Universidad Técnica Del Norte, Ibarra, Ecuador
| | - Martha Fors
- Escuela de Medicina; Universidad de las Américas, Quito, Ecuador
| | | | - Hégira Ramírez
- Escuela de Medicina; Universidad de las Américas, Quito, Ecuador
| | | | - Santiago J Ballaz
- Escuela de Ciencias Biológicas e Ingeniería. Universidad Yachay Tech, Urcuquí, Ecuador; Escuela de Medicina, Universidad Espíritu Santo, Samborondón, Ecuador.
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Carranza Lira S, García Espinosa M. Differences in the neutrophil/lymphocyte ratio and the platelet/lymphocyte ratio in pregnant women with and without COVID-19. Int J Gynaecol Obstet 2021; 157:296-302. [PMID: 34322880 PMCID: PMC9087599 DOI: 10.1002/ijgo.13840] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/06/2021] [Accepted: 07/11/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To determine the differences in the neutrophil/lymphocyte ratio (NLR) and the platelet/lymphocyte ratio (PLR) in pregnant women with and without COVID-19. METHODS Observational, cross-sectional, retrospective, comparative, open, controlled study done from January to April 2021 at the UMAE Hospital de Gineco Obstetricia "Luis Castelazo Ayala" Instituto Mexicano del Seguro Social. Mexico City, Mexico: Patients were divided into those with a negative test for COVID-19 and those with a positive test, with the latter then being divided according to disease severity into mild, moderate, and severe groups. In all the NLR and PLR were calculated. Symptoms, vital signs, and oxygen saturation were documented. STATISTICAL ANALYSIS Central tendency and dispersion measures, Kruskal-Wallis test, Mann-Whitney U test, and chi-squared test were used. Sensitivity, specificity, positive predictive value, negative predictive value, and odds ratio (OR) were calculated. RESULTS Seventy-seven patients were included, 24 without COVID-19 and 53 with COVID-19. There were 33, 10, and 10 patients in the mild, moderate, and severe disease groups, respectively. There was no difference in NLR between the groups and the PLR was significantly higher in the severe disease group. With a 5.1 NLR cutoff point, between normal and those with severe disease, the sensitivity was 70% and specificity 63%, whilst with a 221 PLR cutoff point, the sensitivity was 90% and the specificity 83% (OR 45, 95% CI 4.40-461.7). CONCLUSION PLR more than NLR was useful to detect pregnant patients with COVID-19 with severe disease.
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Affiliation(s)
- Sebastián Carranza Lira
- Research in Health Division, UMAE Hospital de Gineco Obstetricia "Luis Castelazo Ayala", Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Maritza García Espinosa
- Complications of the Second Half of Pregnancy, UMAE Hospital de Gineco Obstetricia "Luis Castelazo Ayala", Instituto Mexicano del Seguro Social, Mexico City, Mexico
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40
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Zhang HJ, Qi GQ, Gu X, Zhang XY, Fang YF, Jiang H, Zhao YJ. Lymphocyte blood levels that remain low can predict the death of patients with COVID-19. Medicine (Baltimore) 2021; 100:e26503. [PMID: 34260527 PMCID: PMC8284734 DOI: 10.1097/md.0000000000026503] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 06/02/2021] [Indexed: 01/04/2023] Open
Abstract
The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been rapidly spreading on a global scale and poses a great threat to human health. However, efficient indicators for disease severity have not been fully investigated. Here, we aim to investigate whether dynamic changes of lymphocyte counts can predict the deterioration of patients with COVID-19.We collected data from 2923 patients with laboratory-confirmed COVID-19. Patients were then screened, and we focused on 145 severe cases and 60 critical cases (29 recovered cases, 31 deaths). The length of hospitalization was divided into five time points, namely admission, 25%, 50%, 75% and discharge or death, according to the principle of interquartile distance. A series of laboratory findings and clinical data were collected and analyzed during hospitalization. The results showed that there were differences in levels of leukocytes, neutrophils and lymphocytes at almost every time point in the severe cases and 60 critical cases (29 recovered cases, 31 deaths). Further analysis showed that 70.2% of the COVID-19 cases had low circulating lymphocyte count, of which 64.1% were severe cases and 85.0% were critical cases (75.9% recovered cases and 93.5% died). Moreover, the lymphocyte count in dead cases was significantly lower than that of critical cases who recovered, at almost every time point in the critical groups. We also divided critical patients into group A (<1.1 × 109/L) and group B (>1.1 × 109/L) according to number of lymphocytes. Through survival analysis, we found that there was no significant difference in survival between group A and group B at admission (P = .3065). However, the survival rate according to lymphocyte levels in group A was significantly lower than that of group B at 25% hospital stay (on average day 6.5), 50% and 75% time points (P < .001).Lymphocyte counts that remain lower after the first week following symptom onset are highly predictive of in-hospital death of adults with COVID-19. This predictor may help clinicians identify patients with a poor prognosis and may be useful for guiding clinical decision-making at an early stage.
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Affiliation(s)
- Hong-Jun Zhang
- Department of Respiratory and Critical Care Medicine, Xi’an Chest Hospital, Xi’an, Shaanxi, PR China
- Department of Infectious Diseases, Wuhan Huoshenshan Hospital, Wuhan, Hubei, PR China
| | - Gang-Qiang Qi
- Department of Respiratory and Critical Care Medicine, Xi’an Chest Hospital, Xi’an, Shaanxi, PR China
| | - Xing Gu
- Department of Respiratory and Critical Care Medicine, Xi’an Chest Hospital, Xi’an, Shaanxi, PR China
| | - Xiao-Yan Zhang
- Department of Respiratory and Critical Care Medicine, Xi’an Chest Hospital, Xi’an, Shaanxi, PR China
| | - Yan-Feng Fang
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital, the Air Force Medical University, Xi’an, Shaanxi, PR China
| | - Hong Jiang
- Department of Infectious Diseases, Second Affiliated Hospital, the Air Force Medical University, Xi’an, Shaanxi, PR China
| | - Yan-Jun Zhao
- Department of Respiratory and Critical Care Medicine, Xi’an Chest Hospital, Xi’an, Shaanxi, PR China
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41
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Yildirim M, Koca B. Lymphocyte C-reactive protein ratio: A new biomarker to predict early complications after gastrointestinal oncologic surgery. Cancer Biomark 2021; 31:409-417. [PMID: 34151845 DOI: 10.3233/cbm-210251] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Lymphocyte-to-C-reactive protein ratio (LCR) has been used as a post-surgical prognostic biomarker in patients with gastric and colorectal cancer. However, its relationship with early postoperative complications in these patients is unknown. In this study, we aimed to reveal the relationship between LCR and postoperative complications. METHODS Eighty-one patients operated for stomach and colorectal cancer between January 2020 and August 2020 were prospectively analyzed. On preoperative and postoperative days 1, 3 and 5, other inflammatory parameters, mainly LCR, neutrophil lymphocyte ratio (NLR), were recorded. The patients were divided into two groups according to Clavien-Dindo classification as stage III and higher complications major, stage I-II/non-complication minor. RESULTS Fifty seven patients were operated for colorectal cancer, 24 patients for gastric cancer. The mean age of the patients was 65.6 ± 12.6, 34.6% of them was women. Age, operation time and hospital stay were significantly different between the groups (p= 0.004, p= 0.002, p< 0.001). Major complications developed in 18 patients. On postoperative day 5, LCR found superior diagnostic accuracy in predicting major postoperative complications compared to other inflammatory markers. On the postoperative 5th day, the cut-off value of LCR was 0.0034, 88.8% (71.9-94.8) sensitivity, and 85.7% (73.6-95.4) selectivity. CONCLUSION Among different inflammatory markers, postoperative LCR is a safe and effective predictor of postoperative complications, especially after gastric and colorectal cancer surgery on day 5.
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Artificial Intelligence in Differential Diagnostics of Meningitis: A Nationwide Study. Diagnostics (Basel) 2021; 11:diagnostics11040602. [PMID: 33800653 PMCID: PMC8065596 DOI: 10.3390/diagnostics11040602] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/23/2021] [Accepted: 03/26/2021] [Indexed: 11/17/2022] Open
Abstract
Differential diagnosis between bacterial and viral meningitis is crucial. In our study, to differentiate bacterial vs. viral meningitis, three machine learning (ML) algorithms (multiple logistic regression (MLR), random forest (RF), and naïve-Bayes (NB)) were applied for the two age groups (0-14 and >14 years) of patients with meningitis by both conventional (culture) and molecular (PCR) methods. Cerebrospinal fluid (CSF) neutrophils, CSF lymphocytes, neutrophil-to-lymphocyte ratio (NLR), blood albumin, blood C-reactive protein (CRP), glucose, blood soluble urokinase-type plasminogen activator receptor (suPAR), and CSF lymphocytes-to-blood CRP ratio (LCR) were used as predictors for the ML algorithms. The performance of the ML algorithms was evaluated through a cross-validation procedure, and optimal predictions of the type of meningitis were above 95% for viral and 78% for bacterial meningitis. Overall, MLR and RF yielded the best performance when using CSF neutrophils, CSF lymphocytes, NLR, albumin, glucose, gender, and CRP. Also, our results reconfirm the high diagnostic accuracy of NLR in the differential diagnosis between bacterial and viral meningitis.
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Mareev VY, Orlova YA, Plisyk AG, Pavlikova EP, Akopyan ZA, Matskeplishvili ST, Malakhov PS, Krasnova TN, Seredenina EM, Potapenko AV, Agapov MA, Asratyan DA, Dyachuk LI, Samokhodskaya LM, Mershina ЕА, Sinitsyn VE, Pakhomov PV, Zhdanova EA, Mareev YV, Begrambekova YL, Kamalov АА. Proactive anti-inflammatory therapy with colchicine in the treatment of advanced stages of new coronavirus infection. The first results of the COLORIT study. ACTA ACUST UNITED AC 2021; 61:15-27. [PMID: 33734043 DOI: 10.18087/cardio.2021.2.n1560] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 02/16/2021] [Indexed: 02/06/2023]
Abstract
Actuality The course of the novel coronavirus disease (COVID-19) is unpredictable. It manifests in some cases as increasing inflammation to even the onset of a cytokine storm and irreversible progression of acute respiratory syndrome, which is associated with the risk of death in patients. Thus, proactive anti-inflammatory therapy remains an open serious question in patients with COVID-19 and pneumonia, who still have signs of inflammation on days 7-9 of the disease: elevated C-reactive protein (CRP)>60 mg/dL and at least two of the four clinical signs: fever >37.5°C; persistent cough; dyspnea (RR >20 brpm) and/or reduced oxygen blood saturation <94% when breathing atmospheric air. We designed the randomized trial: COLchicine versus Ruxolitinib and Secukinumab in Open-label Prospective Randomized Trial in Patients with COVID-19 (COLORIT). We present here data comparing patients who received colchicine with those who did not receive specific anti-inflammatory therapy. Results of the comparison of colchicine, ruxolitinib, and secukinumab will be presented later.Objective Compare efficacy and safety of colchicine compared to the management of patients with COVID-19 without specific anti-inflammatory therapy.Material and Methods Initially, 20 people were expected to be randomized in the control group. However, enrollment to the control group was discontinued subsequently after the inclusion of 5 patients due to the risk of severe deterioration in the absence of anti-inflammatory treatment. Therefore, 17 patients, who had not received anti-inflammatory therapy when treated in the MSU Medical Research and Educational Center before the study, were also included in the control group. The effects were assessed on day 12 after the inclusion or at discharge if it occurred earlier than on day 12. The primary endpoint was the changes in the SHOCS-COVID score, which includes the assessment of the patient's clinical condition, CT score of the lung tissue damage, the severity of systemic inflammation (CRP changes), and the risk of thrombotic complications (D-dimer) [1].Results The median SHOCS score decreased from 8 to 2 (p = 0.017), i.e., from moderate to mild degree, in the colchicine group. The change in the SHOCS-COVID score was minimal and statistically insignificant in the control group. In patients with COVID-19 treated with colchicine, the CRP levels decreased rapidly and normalized (from 99.4 to 4.2 mg/dL, p<0.001). In the control group, the CRP levels decreased moderately and statistically insignificantly and achieved 22.8 mg/dL by the end of the follow-up period, which was still more than four times higher than normal. The most informative criterion for inflammation lymphocyte-to-C-reactive protein ratio (LCR) increased in the colchicine group by 393 versus 54 in the control group (p = 0.003). After treatment, it was 60.8 in the control group, which was less than 100 considered safe in terms of systemic inflammation progression. The difference from 427 in the colchicine group was highly significant (p = 0.003).The marked and rapid decrease in the inflammation factors was accompanied in the colchicine group by the reduced need for oxygen support from 14 (66.7%) to 2 (9.5%). In the control group, the number of patients without anti-inflammatory therapy requiring oxygen support remained unchanged at 50%. There was a trend to shorter hospital stays in the group of specific anti-inflammatory therapy up to 13 days compared to 17.5 days in the control group (p = 0.079). Moreover, two patients died in the control group, and there were no fatal cases in the colchicine group. In the colchicine group, one patient had deep vein thrombosis with D-dimer elevated to 5.99 µg/mL, which resolved before discharge.Conclusions Colchicine 1 mg for 1-3 days followed by 0.5 mg/day for 14 days is effective as a proactive anti-inflammatory therapy in hospitalized patients with COVID-19 and viral pneumonia. The management of such patients without proactive anti-inflammatory therapy is likely to be unreasonable and may worsen the course of COVID-19. However, the findings should be treated with caution, given the small size of the trial.
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Affiliation(s)
- V Yu Mareev
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Ya A Orlova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - A G Plisyk
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - E P Pavlikova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Z A Akopyan
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - S T Matskeplishvili
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - P S Malakhov
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - T N Krasnova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - E M Seredenina
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - A V Potapenko
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - M A Agapov
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - D A Asratyan
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - L I Dyachuk
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - L M Samokhodskaya
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Е А Mershina
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - V E Sinitsyn
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - P V Pakhomov
- Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - E A Zhdanova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Yu V Mareev
- National Medical Research Centre for Therapy and Preventive Medicine, Moscow, Russia Robertson Centre for Biostatistics, Glasgow, Great Britain
| | - Yu L Begrambekova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - А А Kamalov
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
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Simadibrata DM, Calvin J, Wijaya AD, Ibrahim NAA. Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis. Am J Emerg Med 2021; 42:60-69. [PMID: 33453617 PMCID: PMC7832118 DOI: 10.1016/j.ajem.2021.01.006] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 12/13/2020] [Accepted: 01/02/2021] [Indexed: 12/25/2022] Open
Abstract
Background The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients. Methods A literature search was conducted on 23 July 2020 to retrieve all published articles, including grey literature and preprints, investigating the association between on-admission NLR values and severity or mortality in COVID-19 patients. A meta-analysis was performed to determine the overall standardized mean difference (SMD) in NLR values and the pooled risk ratio (RR) for severity and mortality with the 95% Confidence Interval (95%CI). Results A total of 38 articles, including 5699 patients with severity outcomes and 6033 patients with mortality outcomes, were included. The meta-analysis showed that severe and non-survivors of COVID-19 had higher on-admission NLR levels than non-severe and survivors (SMD 0.88; 95%CI 0.72–1.04; I2 = 75.52% and 1.87; 95%CI 1.25–2.49; I2 = 97.81%, respectively). Regardless of the different NLR cut-off values, the pooled mortality RR in patients with elevated vs. normal NLR levels was 2.74 (95%CI 0.98–7.66). Conclusion High NLR levels on admission were associated with severe COVID-19 and mortality. Further studies need to focus on determining the optimal cut-off value for NLR before clinical use.
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Affiliation(s)
| | - Julius Calvin
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
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Mareev VY, Orlova YA, Pavlikova EP, Akopyan ZA, Matskeplishvili ST, Plisyk AG, Seredenina EM, Potapenko AV, Malakhov PS, Samokhodskaya LM, Mershina ЕА, Sinitsyn VE, Asratyan DA, Zhdanova EA, Mareev YV, Begrambekova YL, Shatochina EA, Kamalov АА. [Proactive anti-inflammatory and anticoagulant therapy in the treatment of advanced stages of novel coronavirus infection (COVID-19). Case Series and Study Design: COLchicine versus ruxolitinib and secukinumab in open prospective randomIzed trial (COLORIT)]. ACTA ACUST UNITED AC 2020; 60:4-21. [PMID: 33131470 DOI: 10.18087/cardio.2020.9.n1338] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 08/26/2020] [Indexed: 01/08/2023]
Abstract
The article is devoted to the treatment of the new coronavirus infection (COVID-19) in the advanced stages of the disease. The types of response of the immune system to the viral load of SARS-CoV-2 with the start of the inflammation process are considered. The situation is analyzed in detail in which the growing autoimmune inflammation (up to the development of a "cytokine storm") affects not only the pulmonary parenchyma, but also the endothelium of the small vessels of the lungs. Simultaneous damage to the alveoli and microthrombosis of the pulmonary vessels are accompanied by a progressive impairment of gas exchange, the development of acute respiratory distress syndrome, the treatment of which, even with the use of invasive ventilation, is ineffective and does not really change the prognosis of patients with COVID-19. In order to interrupt the pathological process at the earliest stages of the disease, the necessity of proactive anti-inflammatory therapy in combination with active anticoagulation treatment is substantiated. The results of the first randomized studies on the use of inhibitors of pro-inflammatory cytokines and chemokines (interleukin-6 (tocilizumab), interleukin-17 (secukinumab), Janus kinase blockers, through which the signal is transmitted to cells (ruxolitinib)), which have potential in the early treatment of COVID- 19. The use of a well-known anti-inflammatory drug colchicine (which is used for gout treatment) in patients with COVID-19 is considered. The design of the original COLORIT comparative study on the use of colchicine, ruxolitinib and secukinumab in the treatment of COVID-19 is presented. Clinical series presented, illustrated early anti-inflammatory therapy together with anticoagulants in patients with COVID-19 and the dangers associated with refusing to initiate such therapy on time.
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Affiliation(s)
- V Yu Mareev
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Ya A Orlova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - E P Pavlikova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Z A Akopyan
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - S T Matskeplishvili
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - A G Plisyk
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - E M Seredenina
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - A V Potapenko
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - P S Malakhov
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - L M Samokhodskaya
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Е А Mershina
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - V E Sinitsyn
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - D A Asratyan
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - E A Zhdanova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - Yu V Mareev
- National Medical Research Centre for Therapy and Preventive Medicine, Moscow, Russia Robertson Centre for Biostatistics, Glasgow, Great Britain
| | - Yu L Begrambekova
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
| | - E A Shatochina
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia
| | - А А Kamalov
- Medical Research and Educational Center of the M. V. Lomonosov Moscow State University, Moscow, Russia Faculty of Fundamental Medicine, Lomonosov Moscow State University, Russia
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