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Aksoy A. An Innovative Hybrid Model for Automatic Detection of White Blood Cells in Clinical Laboratories. Diagnostics (Basel) 2024; 14:2093. [PMID: 39335772 PMCID: PMC11431813 DOI: 10.3390/diagnostics14182093] [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: 08/12/2024] [Revised: 09/15/2024] [Accepted: 09/17/2024] [Indexed: 09/30/2024] Open
Abstract
Background: Microscopic examination of peripheral blood is a standard practice in clinical medicine. Although manual examination is considered the gold standard, it presents several disadvantages, such as interobserver variability, being quite time-consuming, and requiring well-trained professionals. New automatic digital algorithms have been developed to eliminate the disadvantages of manual examination and improve the workload of clinical laboratories. Objectives: Regular analysis of peripheral blood cells and careful interpretation of their results are critical for protecting individual health and early diagnosis of diseases. Because many diseases can occur due to this, this study aims to detect white blood cells automatically. Methods: A hybrid model has been developed for this purpose. In the developed model, feature extraction has been performed with MobileNetV2 and EfficientNetb0 architectures. In the next step, the neighborhood component analysis (NCA) method eliminated unnecessary features in the feature maps so that the model could work faster. Then, different features of the same image were combined, and the extracted features were combined to increase the model's performance. Results: The optimized feature map was classified into different classifiers in the last step. The proposed model obtained a competitive accuracy value of 95.6%. Conclusions: The results obtained in the proposed model show that the proposed model can be used in the detection of white blood cells.
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Affiliation(s)
- Aziz Aksoy
- Department of Bioengineering, Malatya Turgut Ozal University, 44200 Malatya, Turkey
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Cheng T, Yu D, Qiu X, OuYang W, Li G, Zhou L, Wen Z. The relationship between a series of inflammatory markers on the risk of heart failure in different gender groups: Analysis from NHANES 2015-2018. PLoS One 2024; 19:e0296936. [PMID: 38527048 PMCID: PMC10962816 DOI: 10.1371/journal.pone.0296936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/20/2023] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND A better understanding of the level-grade inflammation for the development and worsening of heart failure (HF) in different gender groups is an unmet need. We performed an updated analysis on the impact of a series of systemic inflammation markers on HF. METHODS This compensatory cross-sectional study enrolled participants from the National Health and Nutrition Examination Survey (NHANES) 2015-2018. HF was based on the self-reported questions. Univariate and multivariate logistic regression were used to investigate the association between systemic immune-inflammation index (SII), high sensitivity C-reactive protein (hs-CRP), lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and HF. For patients of different genders, P for trend was used to analyze potential linear trend relationships and the restricted cubic splines (RCS) were used to describe non-linear relationships. The additive interaction was evaluated by the relative excess risk due to interaction (RERI), attributable proportion (AP), and the synergy index (SI). The multiplicative interaction was evaluated by odds ratio (OR) and 95% confidence interval (CI) of product-term. RESULTS A total of 5,830 participants from the NHANES database were divided into two groups: the HF group (n = 210) and the non-HF group (n = 5620). After gender stratification, hs-CRP (OR: 1.01, 95% CI: 1.00-1.03), SII (OR: 1.00, 95% CI: 1.00-1.01), NLR (OR: 1.22, 95% CI: 1.11-1.35) and LMR (OR: 0.79, 95% CI: 0.65-0.93) were independent meaningful factors for HF in males, there was no non-linear relationship between the three factors (SII, NLR, hs-CRP, all P for non-linear > 0.05) and the prevalence of HF, but we detected a non-linear relationship between LMR and the prevalence of HF in males (P for non-linear < 0.05). An additive interaction of hs-CRP and NLR on the risk of HF in males (RERI (OR): 0.67, 95% CI: 0.12-1.34; AP (OR): 0.14, 95% CI: 0.02-0.24; SI (OR): 1.22, 95% CI: 1.03-1.44). CONCLUSIONS In summary, hs-CRP, NLR, and LMR are superior meaningful markers for HF in males. SII may be a meaningful systemic inflammation warning marker for HF, which needs to be discriminated against with caution. Only detected a non-linear relationship between LMR and the prevalence of HF in males. NLR and hs-CRP may have an additive interaction in the prevalence of male HF patients. The outcome compensated for previous studies that still needed more studies for validation.
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Affiliation(s)
- Ting Cheng
- Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Dongdong Yu
- First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Xingying Qiu
- Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenwei OuYang
- Guangdong Provincial Hospital of Chinese Medicine (Second Affiliated Hospital of Guangzhou University of Chinese Medicine), Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Geng Li
- Guangdong Provincial Hospital of Chinese Medicine (Second Affiliated Hospital of Guangzhou University of Chinese Medicine), Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Li Zhou
- Guangdong Provincial Hospital of Chinese Medicine (Second Affiliated Hospital of Guangzhou University of Chinese Medicine), Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Zehuai Wen
- Guangdong Provincial Hospital of Chinese Medicine (Second Affiliated Hospital of Guangzhou University of Chinese Medicine), Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
- Science and Technology Innovation Center of Guangzhou University of Chinese Medicine, Guangzhou, China
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Simsek Yurt N, Ocak M. Ferritin/lymphocyte percentage ratio to predict the severity and mortality of COVID-19. Malawi Med J 2023; 35:183-189. [PMID: 38362294 PMCID: PMC10865067 DOI: 10.4314/mmj.v35i3.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024] Open
Abstract
Objective In this study, we aimed to investigate the relationship between ferritin/lymphocyte percentage ratio (FLPR) with clinical and radiological disease severity and mortality in COVID-19 patients. Methods This retrospective study was conducted with patients who had polymerase chain reaction positive results for COVID-19. We calculated FLPRs from laboratory tests taken during emergency clinic admission. The relationship between chest computed tomography (CT) scores, disease severity, and 30-day mortality with FLPR was evaluated. Results Our study included 309 patients. 30-day mortality occurred in 12.3% (n=38) of the patients. A statistically significant association was found between FLPR and clinical disease severity (p <0.001). In the post hoc analysis, the difference was caused by the critical and severe groups and FLPR was significantly higher in these groups. A significant correlation was found between CT scores and FLPR (r=0.496, p<0.001). Logistic regression analysis revealed that hypertension, smoking, C-reactive protein (CRP), and FLPR levels were independent risk factors for mortality in COVID-19 patients. In the receiver operating characteristics curve analysis, determined the predictive value and the optimal cut-off value of FLPR. The areas under the curve of WBC, lymphocyte, neutrophil, ferritin, CRP, FLPR were found 0.707, 0.233, 0.735, 0.878, 0.831, 0.924 (p<0.001), respectively. This analysis showed that the FLPR can predict 30-day mortality better than the other biomarkers in the comparison. When the optimal cut-off value of FLPR is 42.4, the sensitivity is 84.2% and specificity is 86.7%. Conclusion FLPR can be used as an independent biomarker of disease severity and mortality in COVID-19.
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Affiliation(s)
- Nur Simsek Yurt
- Clinic of Family Medicine, Samsun Training and Research Hospital, Samsun, Turkey
| | - Metin Ocak
- Clinic of Emergency Medicine, Samsun Gazi State Hospital, Samsun, Turkey
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Wang Q, Fang Z, Xiao Y, Wang H, Zhang P, Lu W, Zhang H, Zhou X. Lactiplantibacillus pentoses CCFM1227 Produces Desaminotyrosine to Protect against Influenza Virus H1N1 Infection through the Type I Interferon in Mice. Nutrients 2023; 15:3659. [PMID: 37630849 PMCID: PMC10458433 DOI: 10.3390/nu15163659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 08/10/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
Microbiota-derived desaminotyrosine (DAT) protects the host from influenza by modulating the type I interferon (IFN) response. The aim of this study was to investigate the antivirus effects of a DAT-producing bacteria strain. A comparative genomics analysis and UHPLC Q-Exactive MS were used to search for potential strains and confirm their ability to produce DAT, respectively. The anti-influenza functions of the DAT producer were evaluated using an antibiotic-treated mouse model by orally administering the specific strain before viral infection. The results showed the Lactiplantibacillus pentosus CCFM1227 contained the phy gene and produced DAT by degrading phloretin. In vivo, L. pentosus CCFM1227 re-inoculation increased the DAT level in feces, and protected from influenza through inhibiting viral replication and alleviating lung immunopathology. Furthermore, CCFM1227-derived DAT was positively correlated with the IFN-β level in the lung. The transcriptome results showed that CCFM1227 activated gene expression in the context of the defense response to the virus, and the response to interferon-beta. Moreover, CCFM1227 treatment upregulated the expression of MHC-I family genes, which regulate the adaptive immune response. In conclusion, L. pentosus CCFM1227 exerted antiviral effects by producing DAT in the gut, and this may provide a potential solution for creating effective antiviral probiotics.
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Affiliation(s)
- Qianwen Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (Q.W.); (Z.F.); (Y.X.); (W.L.); (H.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Zhifeng Fang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (Q.W.); (Z.F.); (Y.X.); (W.L.); (H.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Yue Xiao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (Q.W.); (Z.F.); (Y.X.); (W.L.); (H.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Hongchao Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (Q.W.); (Z.F.); (Y.X.); (W.L.); (H.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Pinghu Zhang
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Medical College, Yangzhou University, Yangzhou 225009, China
| | - Wenwei Lu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (Q.W.); (Z.F.); (Y.X.); (W.L.); (H.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Hao Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (Q.W.); (Z.F.); (Y.X.); (W.L.); (H.Z.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
- Yangzhou Institute of Food Biotechnology, Jiangnan University, Yangzhou 225004, China
| | - Xiuwen Zhou
- Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou 215021, China
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Kourou K, Manikis G, Mylona E, Poikonen-Saksela P, Mazzocco K, Pat-Horenczyk R, Sousa B, Oliveira-Maia AJ, Mattson J, Roziner I, Pettini G, Kondylakis H, Marias K, Nuutinen M, Karademas E, Simos P, Fotiadis DI. Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study. Sci Rep 2023; 13:7059. [PMID: 37120428 PMCID: PMC10148884 DOI: 10.1038/s41598-023-33281-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 04/11/2023] [Indexed: 05/01/2023] Open
Abstract
Identifying individual patient characteristics that contribute to long-term mental health deterioration following diagnosis of breast cancer (BC) is critical in clinical practice. The present study employed a supervised machine learning pipeline to address this issue in a subset of data from a prospective, multinational cohort of women diagnosed with stage I-III BC with a curative treatment intention. Patients were classified as displaying stable HADS scores (Stable Group; n = 328) or reporting a significant increase in symptomatology between BC diagnosis and 12 months later (Deteriorated Group; n = 50). Sociodemographic, life-style, psychosocial, and medical variables collected on the first visit to their oncologist and three months later served as potential predictors of patient risk stratification. The flexible and comprehensive machine learning (ML) pipeline used entailed feature selection, model training, validation and testing. Model-agnostic analyses aided interpretation of model results at the variable- and patient-level. The two groups were discriminated with a high degree of accuracy (Area Under the Curve = 0.864) and a fair balance of sensitivity (0.85) and specificity (0.87). Both psychological (negative affect, certain coping with cancer reactions, lack of sense of control/positive expectations, and difficulties in regulating negative emotions) and biological variables (baseline percentage of neutrophils, thrombocyte count) emerged as important predictors of mental health deterioration in the long run. Personalized break-down profiles revealed the relative impact of specific variables toward successful model predictions for each patient. Identifying key risk factors for mental health deterioration is an essential first step toward prevention. Supervised ML models may guide clinical recommendations toward successful illness adaptation.
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Affiliation(s)
- Konstantina Kourou
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece
- Foundation for Research and Technology-Hellas, Biomedical Research Institute, Ioannina, Greece
| | - Georgios Manikis
- Foundation for Research and Technology-Hellas, Institute of Computer Science, Heraklion, Greece
| | - Eugenia Mylona
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece
- Foundation for Research and Technology-Hellas, Biomedical Research Institute, Ioannina, Greece
| | - Paula Poikonen-Saksela
- Helsinki University Hospital Comprehensive Cancer Center and Helsinki University, Helsinki, Finland
| | - Ketti Mazzocco
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology IRCCS, Milan, Italy
- Dept. of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Ruth Pat-Horenczyk
- School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Berta Sousa
- Breast Unit, Champalimaud Clinical Centre, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal
| | - Albino J Oliveira-Maia
- Champalimaud Research and Clinical Centre, Champalimaud Foundation, Lisbon, Portugal
- NOVA Medical School, NMS, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Johanna Mattson
- Helsinki University Hospital Comprehensive Cancer Center and Helsinki University, Helsinki, Finland
| | - Ilan Roziner
- Dept. of Communication Disorders, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Greta Pettini
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology IRCCS, Milan, Italy
| | - Haridimos Kondylakis
- Foundation for Research and Technology-Hellas, Institute of Computer Science, Heraklion, Greece
| | - Kostas Marias
- Foundation for Research and Technology-Hellas, Institute of Computer Science, Heraklion, Greece
| | | | - Evangelos Karademas
- Foundation for Research and Technology-Hellas, Institute of Computer Science, Heraklion, Greece
- Dept. of Psychology, University of Crete, Rethymno, Greece
| | - Panagiotis Simos
- Foundation for Research and Technology-Hellas, Institute of Computer Science, Heraklion, Greece
- School of Medicine, University of Crete, Heraklion, Greece
| | - Dimitrios I Fotiadis
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.
- Foundation for Research and Technology-Hellas, Biomedical Research Institute, Ioannina, Greece.
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AlNafea HM, Korish AA. The interplay between hypovitaminosis D and the immune dysfunction in the arteriovenous thrombotic complications of the sever coronavirus disease 2019 (COVID-19) infection. Blood Coagul Fibrinolysis 2023; 34:129-137. [PMID: 36966750 PMCID: PMC10089932 DOI: 10.1097/mbc.0000000000001212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 02/11/2023] [Indexed: 03/28/2023]
Abstract
Thromboembolic complications including cerebrovascular accidents, pulmonary embolism, myocardial infarction, deep vein thrombosis and disseminating intravascular coagulopathy are serious encounters in sever coronavirus disease 2019 (COVID-19) infected patients. This worsens the prognosis and may lead to death or life long morbidities. The laboratory finding of the disturbed haemostasias and the hyperinflammatory response are almost invariably present in COVID-19 patients. Multiple treatment modalities are utilized by the healthcare professionals to overcome the cytokine storm, oxidative stress, endothelial dysfunction, and coagulopathy in these patients. The combined actions of vitamin D (VitD) as a steroid hormone with anti-inflammatory, immunomodulatory, and antithrombotic properties increase the potential of the possible involvement of hypovitaminosis D in the thromboembolic complications of COVID-19 infection, and stimulated researchers and physicians to administer VitD therapy to prevent the infection and/or overcome the disease complications. The current review highlighted the immunomodulatory, anti-inflammatory, antioxidative and hemostatic functions of VitD and its interrelation with the renin-angiotensin-aldosterone system (RAAS) pathway and the complement system. Additionally, the association of VitD deficiency with the incidence and progression of COVID-19 infection and the associated cytokine storm, oxidative stress, hypercoagulability, and endothelial dysfunction were emphasized. Normalizing VitD levels by daily low dose therapy in patients with hypovitaminosis D below (25 nmol/l) is essential for a balanced immune response and maintaining the health of the pulmonary epithelium. It protects against upper respiratory tract infections and decreases the complications of COVID-19 infections. Understanding the role of VitD and its associated molecules in the protection against the coagulopathy, vasculopathy, inflammation, oxidative stress and endothelial dysfunction in COVID-19 infection could lead to new therapeutic strategies to prevent, treat, and limit the complications of this deadly virus infection.
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Affiliation(s)
- Haifa M. AlNafea
- Clinical Laboratory Sciences Department, College of Applied Medical Sciences, King Saud University
| | - Aida A. Korish
- Physiology Department (29), College of Medicine, King Saud University Medical City (KSUMC), King Saud university, Riyadh, Saudi Arabia
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Jhutty SS, Boehme JD, Jeron A, Volckmar J, Schultz K, Schreiber J, Schughart K, Zhou K, Steinheimer J, Stöcker H, Stegemann-Koniszewski S, Bruder D, Hernandez-Vargas EA. Predicting Influenza A Virus Infection in the Lung from Hematological Data with Machine Learning. mSystems 2022; 7:e0045922. [PMID: 36346236 PMCID: PMC9765554 DOI: 10.1128/msystems.00459-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
The tracking of pathogen burden and host responses with minimally invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respiratory influenza A virus (IAV) infection, we developed and tested different supervised machine learning models to predict viral burden and immune response markers, i.e., cytokines and leukocytes in the lung, from hematological data. We performed independently in vivo infection experiments to acquire extensive data for training and testing of the models. We show here that lung viral load, neutrophil counts, cytokines (such as gamma interferon [IFN-γ] and interleukin 6 [IL-6]), and other lung infection markers can be predicted from hematological data. Furthermore, feature analysis of the models showed that blood granulocytes and platelets play a crucial role in prediction and are highly involved in the immune response against IAV. The proposed in silico tools pave the path toward improved tracking and monitoring of influenza virus infections and possibly other respiratory infections based on minimally invasively obtained hematological parameters. IMPORTANCE During the course of respiratory infections such as influenza, we do have a very limited view of immunological indicators to objectively and quantitatively evaluate the outcome of a host. Methods for monitoring immunological markers in a host's lungs are invasive and expensive, and some of them are not feasible to perform. Using machine learning algorithms, we show for the first time that minimally invasively acquired hematological parameters can be used to infer lung viral burden, leukocytes, and cytokines following influenza virus infection in mice. The potential of the framework proposed here consists of a new qualitative vision of the disease processes in the lung compartment as a noninvasive tool.
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Affiliation(s)
- Suneet Singh Jhutty
- Frankfurt Institute for Advanced Studiesgrid.417999.b, Frankfurt am Main, Germany
- Faculty of Biological Sciences, Goethe University, Frankfurt am Main, Germany
| | - Julia D. Boehme
- Immune Regulation Group, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
- Infection Immunology Group, Institute of Medical Microbiology, Infection Control and Prevention, Health Campus Immunology, Infectiology and Inflammation, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Andreas Jeron
- Immune Regulation Group, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
- Infection Immunology Group, Institute of Medical Microbiology, Infection Control and Prevention, Health Campus Immunology, Infectiology and Inflammation, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Julia Volckmar
- Immune Regulation Group, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
- Infection Immunology Group, Institute of Medical Microbiology, Infection Control and Prevention, Health Campus Immunology, Infectiology and Inflammation, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Kristin Schultz
- Immune Regulation Group, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
- Department of Infection Genetics, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
| | - Jens Schreiber
- Department of Pneumology, Health Campus Immunology, Infectiology and Inflammation, Otto-von-Guericke University Magdeburggrid.5807.a, Magdeburg, Germany
| | - Klaus Schughart
- Department of Infection Genetics, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
- Department of Microbiology, Immunology, and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee, USA
- University of Veterinary Medicine Hannover, Hannover, Germany
| | - Kai Zhou
- Frankfurt Institute for Advanced Studiesgrid.417999.b, Frankfurt am Main, Germany
| | - Jan Steinheimer
- Frankfurt Institute for Advanced Studiesgrid.417999.b, Frankfurt am Main, Germany
| | - Horst Stöcker
- Frankfurt Institute for Advanced Studiesgrid.417999.b, Frankfurt am Main, Germany
- Institut für Theoretische Physik, Goethe Universität Frankfurt, Frankfurt am Main, Germany
- GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
| | - Sabine Stegemann-Koniszewski
- Department of Pneumology, Health Campus Immunology, Infectiology and Inflammation, Otto-von-Guericke University Magdeburggrid.5807.a, Magdeburg, Germany
| | - Dunja Bruder
- Immune Regulation Group, Helmholtz Centre for Infection Researchgrid.7490.a, Braunschweig, Germany
- Infection Immunology Group, Institute of Medical Microbiology, Infection Control and Prevention, Health Campus Immunology, Infectiology and Inflammation, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Esteban A. Hernandez-Vargas
- Frankfurt Institute for Advanced Studiesgrid.417999.b, Frankfurt am Main, Germany
- Department of Mathematics and Statistical Science, University of Idaho, Moscow, Idaho, USA
- Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, Idaho, USA
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GÜNAK F, HOCANLI İ, KARAAĞAÇ L. Evaluation of Laboratory Results with Data from Bio-Speedy Respiratory Panel 2 in Nasopharyngeal Swab Specimens of COVID-19-Suspected Patients Having PCR(-) Results. CLINICAL AND EXPERIMENTAL HEALTH SCIENCES 2022. [DOI: 10.33808/clinexphealthsci.1117146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Objective: The distinction between COVID-19 and other respiratory infections can be difficult during the flu and winter seasons. The aim of this study is to detect bacterial/viral microorganisms in nasopharyngeal swab samples and to evaluate routine laboratory results of patients with PCR (-) but suspected covid 19.
Methods: Between 1 July 2021 and 31 December 2021, 78 patients who were hospitalized and followed up in the suspected Covid service were included in the study. The patients were divided into two groups as those with and without growth on the respiratory panel. Laboratory, demographic and radiological data were compared between groups.
Results: C-reactive protein (CRP) and ferritin levels were found to be statistically significantly higher in the group with growth on the respiratory panel compared to the group without growth (p= .05, p= .041, respectively). Reproduction was detected in nasopharyngeal swab samples taken in 56.4% of the patients. More than half of the patients were radiologically defined as CO-RADS 3.
Conclusion: It should not be forgotten that other respiratory viral and bacterial infections that mimic the COVID-19 clinic are also commonly observed during this period.
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Toraldo DM, Satriano F, Rollo R, Verdastro G, Imbriani G, Rizzo E, Argentiero A, Falco A, Ambrosino P, Miani A, Piscitelli P. COVID-19 IgG/IgM patterns, early IL-6 elevation and long-term radiological sequelae in 75 patients hospitalized due to interstitial pneumonia followed up from 3 to 12 months. PLoS One 2022; 17:e0262911. [PMID: 35192635 PMCID: PMC8863277 DOI: 10.1371/journal.pone.0262911] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 01/07/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND COVID-19 pandemic resulted in about 165 million infections and 3.4 million deaths all over the world across 15 months. The most severe clinical presentation of COVID-19 diseases is interstitial pneumonia. METHODS In this paper we describe clinical outcomes based on radiological features as well as the pattern of haematochemical parameters and IgG/IgM antibodies in 75 patients hospitalized due to COVID-related interstitial pneumonia not requiring intensive care assistance. Each patient underwent routine laboratory tests, including inflammatory markers and coagulation profile at baseline. Computed Tomography (CT) was performed at baseline and after 3 months to assess the persistence of radiological sequelae. A Generalized Linear Model (GLM) was used to test for each patient the association between individual haematochemical parameters at the time of hospital admission and the subsequent radiological features after three months. The presence of IgG antibodies was quantitatively determined in 70 patients at the time of hospital admission and after 3 months. A subgroup of 49 and 21 patients underwent additional dosage of IgG after 6 and 12 months, respectively. IgM serological antibodies were available for 17 patients at baseline and 61 at T3, with additional follow-up for 51 and 20 subjects after 6 and 12 months, respectively. RESULTS Only 28 out of 75 patients discharged from the hospital were totally healed after 3 months, while 47 patients (62.7%) still presented radiological sequelae. According to the GLM model, specific haematochemical baseline parameters-such as IL-6, GPT, platelets and eosinophil count-showed a statistically significant association with the presence of radiological sequelae at month 3 highlighting an OR = 0.5, thus meaning that subjects completely healed after 3 months presented half levels of IL-6 at baseline compared to patients with sequelae. In general, IgG serum levels were always higher than IgM at the time of hospitalization (75% at T0; n = 12 out of 16 patients with data available in both visits), after 3 months (72.1%; n = 44 out of 61 pts.), after 6 months (56.8%; 25 out of 44 pts.), and one year after hospitalization (60%; 12 out of 20 pts.). Overall, IgG and IgM serum levels presented a statistically significant decreasing trend from the baseline to month 3, 6 and 12. One patient presented an increase in IgM between baseline and month 3 but negative PCR test for SARS-COV2 on throat swab. CONCLUSIONS As supported by our findings on 75 patients, COVID-related interstitial pneumonia triggers early IgG levels (higher than IgM) that gradually decrease over 12 months. Mid-term sequelae are still detectable at lung Computed Tomography after 3 months from the hospital admission. Occasionally, it is possible to observe increase of IgM levels in presence of low concentrations of IgG and negative PCR ELISA tests for SARS-COV2 RNA. Baseline levels of IL-6 could be proposed as predictor of radiological mid/long-term sequelae after COVID-related interstitial pneumonia.
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Affiliation(s)
- Domenico Maurizio Toraldo
- Department of Rehabilitation, Cardiorespiratory Rehabilitation Unit–“V. Fazzi Hospital”, Local Health Authority ASL Le, Lecce, Italy–Lecce, Italy
| | - Francesco Satriano
- Covid Sub-intensive Respiratory Unit–“V. Fazzi Hospital”, Local Health Authority ASL Le, Lecce, Italy–Lecce, Italy
| | | | | | | | | | | | - Andrea Falco
- Department of Sciences and Technology, University of Sannio, Benevento, Italy
| | - Paolo Ambrosino
- Department of Sciences and Technology, University of Sannio, Benevento, Italy
| | - Alessandro Miani
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
- Italian Society of Environmental Medicine (SIMA), Milan, Italy
| | - Prisco Piscitelli
- Local Health Authority, ASL Le, Lecce, Italy
- Italian Society of Environmental Medicine (SIMA), Milan, Italy
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VACCINE OPPOSAL IN PEOPLE OVER 60 YEARS OF AGE IN MARDIN/TURKEY – A TERRITORY WITH LOW RATE OF VACCINATION. JOURNAL OF CONTEMPORARY MEDICINE 2022. [DOI: 10.16899/jcm.1024259] [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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Salamanna F, Maglio M, Sartori M, Landini MP, Fini M. Vitamin D and Platelets: A Menacing Duo in COVID-19 and Potential Relation to Bone Remodeling. Int J Mol Sci 2021; 22:ijms221810010. [PMID: 34576172 PMCID: PMC8468972 DOI: 10.3390/ijms221810010] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 12/19/2022] Open
Abstract
Global data correlate severe vitamin D deficiency with COVID-19-associated coagulopathy, further suggesting the presence of a hypercoagulable state in severe COVID-19 patients, which could promote thrombosis in the lungs and in other organs. The feedback loop between COVID-19-associated coagulopathy and vitamin D also involves platelets (PLTs), since vitamin D deficiency stimulates PLT activation and aggregation and increases fibrinolysis and thrombosis. Vitamin D and PLTs share and play specific roles not only in coagulation and thrombosis but also during inflammation, endothelial dysfunction, and immune response. Additionally, another ‘fil rouge’ between vitamin D and PLTs is represented by their role in mineral metabolism and bone health, since vitamin D deficiency, low PLT count, and altered PLT-related parameters are linked to abnormal bone remodeling in certain pathological conditions, such as osteoporosis (OP). Hence, it is possible to speculate that severe COVID-19 patients are characterized by the presence of several predisposing factors to bone fragility and OP that may be monitored to avoid potential complications. Here, we hypothesize different pervasive actions of vitamin D and PLT association in COVID-19, also allowing for potential preliminary information on bone health status during COVID-19 infection.
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Affiliation(s)
- Francesca Salamanna
- Complex Structure Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (F.S.); (M.S.); (M.F.)
| | - Melania Maglio
- Complex Structure Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (F.S.); (M.S.); (M.F.)
- Correspondence: ; Tel.: +39-051-6366784
| | - Maria Sartori
- Complex Structure Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (F.S.); (M.S.); (M.F.)
| | - Maria Paola Landini
- Scientific Direction, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy;
| | - Milena Fini
- Complex Structure Surgical Sciences and Technologies, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; (F.S.); (M.S.); (M.F.)
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