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Zhao L, Bian W, Shang Y, Zhi H, Ma X, He Y, Yu W, Liu C, Xu Y, Gong P, Gao Z. Plasma proteome analysis and validation of patients with community-acquired pneumonia: A cohort study. Proteomics Clin Appl 2024:e2300069. [PMID: 38332320 DOI: 10.1002/prca.202300069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 02/10/2024]
Abstract
PURPOSE This study aimed to investigate the diagnostic potential of plasma biomarkers of community-acquired pneumonia (CAP) and their severity grading. EXPERIMENTAL DESIGN Plasma proteomes from cohort I (n = 32) with CAP were analyzed by data-independent acquisition mass spectrometry (MS). MetaboAnalyst 5.0 was used to statistically evaluate significant differences in proteins from different samples, and demographic and clinical data were recorded for all enrolled patients. Cohort II (n = 80) was used to validate candidate biomarkers. Plasma protein levels were determined using quantitative enzyme-linked immunosorbent assay (ELISA). Correlations were assessed using Pearson's correlation coefficient. A receiver operating characteristic curve was used to verify the association between the variables, CAP diagnosis, and prognosis. RESULTS 121 differentially expressed proteins (DEPs) were obtained between CAP and controls. These DEPs were mainly aggregated in pathways of phagosome(hsa04145) and complement and coagulation cascades (hsa04610). No significant differential proteins were detected in bacterial, viral, and mixed infection groups. The plasma levels of fetuin-A, alpha-1-antichymotrypsin (AACT), α1-acid glycoprotein (A1AG), and S100A8/S100A9 heterodimers detected by ELISA were consistent with those of MS. AACT, A1AG, S100A8/S100A9 heterodimer, and fetuin-A can potentially be used as diagnostic predictors, and fetuin-A and AACT are potential predictors of SCAP. CONCLUSIONS AND CLINICAL RELEVANCE Plasma protein profiling can successfully identify potential biomarkers for CAP diagnosis and disease severity assessment. These biomarkers should be further studied for their clinical application.
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Affiliation(s)
- Lili Zhao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Wenjie Bian
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Ying Shang
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Hui Zhi
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Xinqian Ma
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Yukun He
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Wenyi Yu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Chunyu Liu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Yu Xu
- Department of Respiratory and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing, China
| | - Pihua Gong
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Zhancheng Gao
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
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Celli BR, Fabbri LM, Aaron SD, Agusti A, Brook RD, Criner GJ, Franssen FME, Humbert M, Hurst JR, Montes de Oca M, Pantoni L, Papi A, Rodriguez-Roisin R, Sethi S, Stolz D, Torres A, Vogelmeier CF, Wedzicha JA. Differential Diagnosis of Suspected Chronic Obstructive Pulmonary Disease Exacerbations in the Acute Care Setting: Best Practice. Am J Respir Crit Care Med 2023; 207:1134-1144. [PMID: 36701677 PMCID: PMC10161746 DOI: 10.1164/rccm.202209-1795ci] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 01/26/2023] [Indexed: 01/27/2023] Open
Abstract
Patients with chronic obstructive pulmonary disease (COPD) may suffer from acute episodes of worsening dyspnea, often associated with increased cough, sputum, and/or sputum purulence. These exacerbations of COPD (ECOPDs) impact health status, accelerate lung function decline, and increase the risk of hospitalization. Importantly, close to 20% of patients are readmitted within 30 days after hospital discharge, with great cost to the person and society. Approximately 25% and 65% of patients hospitalized for an ECOPD die within 1 and 5 years, respectively. Patients with COPD are usually older and frequently have concomitant chronic diseases, including heart failure, coronary artery disease, arrhythmias, interstitial lung diseases, bronchiectasis, asthma, anxiety, and depression, and are also at increased risk of developing pneumonia, pulmonary embolism, and pneumothorax. All of these morbidities not only increase the risk of subsequent ECOPDs but can also mimic or aggravate them. Importantly, close to 70% of readmissions after an ECOPD hospitalization result from decompensation of other morbidities. These observations suggest that in patients with COPD with worsening dyspnea but without the other classic characteristics of ECOPD, a careful search for these morbidities can help detect them and allow appropriate treatment. For most morbidities, a thorough clinical evaluation supplemented by appropriate clinical investigations can guide the healthcare provider to make a precise diagnosis. This perspective integrates the currently dispersed information available and provides a practical approach to patients with COPD complaining of worsening respiratory symptoms, particularly dyspnea. A systematic approach should help improve outcomes and the personal and societal cost of ECOPDs.
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Affiliation(s)
- Bartolome R. Celli
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Leonardo M. Fabbri
- Section of Respiratory Medicine, Department of Translational Medicine, and
| | - Shawn D. Aaron
- The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Alvar Agusti
- Universitat de Barcelona, Barcelona, Spain
- Institut Clínic Respiratori, Hospital Clínic de Barcelona, Barcelona, Spain
- Instituto de Investigaciones Biomédicas August Pi i Sunyer, Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid, Spain
| | - Robert D. Brook
- Division of Cardiovascular Medicine, Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | - Gerard J. Criner
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania
| | - Frits M. E. Franssen
- Department of Research and Education, CIRO, Horn, the Netherlands
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Marc Humbert
- Department of Respiratory and Intensive Care Medicine, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Le Kremlin-Bicêtre, France
- Université Paris-Saclay and Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 999, Le Kremlin-Bicêtre, France
| | - John R. Hurst
- UCL Respiratory, University College London, London, United Kingdom
| | - Maria Montes de Oca
- Universidad Central de Venezuela, School of Medicine, Centro Medico de Caracas, Caracas, Venezuela
| | - Leonardo Pantoni
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Alberto Papi
- Section of Respiratory Medicine, University of Ferrara, Ferrara, Italy
- Emergency Department, St. Anna University Hospital, Ferrara, Italy
| | - Roberto Rodriguez-Roisin
- Universitat de Barcelona, Barcelona, Spain
- Institut Clínic Respiratori, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Sanjay Sethi
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - Daiana Stolz
- Clinic of Respiratory Medicine and Pulmonary Cell Research and
- Department of Clinical Research, University Hospital Basel, Basel, Switzerland
- Clinic of Respiratory Medicine and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Antoni Torres
- Universitat de Barcelona, Barcelona, Spain
- Institut Clínic Respiratori, Hospital Clínic de Barcelona, Barcelona, Spain
- Instituto de Investigaciones Biomédicas August Pi i Sunyer, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats Acadèmia, Centre d’Investigació Biomèdica en Xarxa de Malalties Respiratòries, Barcelona, Spain
| | - Claus F. Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Centre Giessen and Marburg, Philipps University of Marburg, Member of the German Centre for Lung Research (DZL), Marburg, Germany; and
| | - Jadwiga A. Wedzicha
- Respiratory Division, National Heart and Lung Institute, Imperial College, London, United Kingdom
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Xu C, Liu H, Zhang H, Zeng J, Li Q, Yi Y, Li N, Cheng R, Li Q, Zhou X, Lv C. Predictive value of arterial blood lactate to serum albumin ratio for in-hospital mortality of patients with community-acquired pneumonia admitted to the Intensive Care Unit. Postgrad Med 2023; 135:273-282. [PMID: 35930266 DOI: 10.1080/00325481.2022.2110769] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
OBJECTIVE To investigate the predictive value of the arterial blood lactate to serum albumin ratio (LAR) on in-hospital mortality of patients with community-acquired pneumonia (CAP) admitted to the Intensive Care Unit (ICU). METHODS Clinical datasets of 1720 CAP patients admitted to ICU from MIMIC-IV database were retrospectively analyzed. Patients were randomly assigned to the training cohort (n=1204) and the validation cohort (n=516) in a ratio of 7:3. X-tile software was used to find the optimal cut-off value for LAR. The receiver operating curve (ROC) analysis was conducted to compare the performance between LAR and other indicators. Univariate and multivariate Cox regression analyses were applied to select prognostic factors associated with in-hospital mortality. Based on the observed prognostic factors, a nomogram model was created in training cohort, and the validation cohort was utilized to further validate the nomogram. RESULTS The optimal cut-off value for LAR in CAP patients admitted to ICU was 1.6 (the units of lactate and albumin were, respectively, 'mmol/L' and 'g/dL'). The ROC analysis showed that the discrimination abilities of LAR were superior to other indicators except Sequential Organ Failure Assessment score and Simplified acute physiology score (SAPSII), which had the same abilities. Age, mean arterial pressure, SpO2, heart rate, SAPSII score, neutrophil-to-lymphocyte ratio, and LAR were found to be independent predictors of poor overall survival in the training cohort by multivariate Cox regression analysis and were incorporated into the nomogram for in-hospital mortality as independent factors. The nomogram model, exhibiting medium discrimination, had a C-index of 0.746 (95% CI = 0.715-0.777) in the training cohort and 0.716 (95% CI = 0.667-0.765) in the validation cohort. CONCLUSION LAR could predict in-hospital mortality of patients with CAP admitted to ICU independently as a readily accessible biomarker. The nomogram that included LAR with other independent factors performed well in predicting in-hospital mortality.
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Affiliation(s)
- Chaoqun Xu
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Haoran Liu
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Hao Zhang
- Department of Emergency, The Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Jun Zeng
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Quan Li
- Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yang Yi
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Nan Li
- Emergency and Trauma College, Hainan Medical University, Haikou, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Ruxin Cheng
- Emergency and Trauma College, Hainan Medical University, Haikou, China
| | - Qi Li
- Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Xiangdong Zhou
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
- Department of Respiratory Medicine, The First Affiliated Hospital of Hainan Medical University, Haikou, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences (No. 2019RU013), Hainan Medical University, Haikou, China
| | - Chuanzhu Lv
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences (No. 2019RU013), Hainan Medical University, Haikou, China
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Carlos P, Gomes R, Coelho J, Chaves C, Tuna C, Louro M. CURB-65 and Long-Term Mortality of Community-Acquired Pneumonia: A Retrospective Study on Hospitalized Patients. Cureus 2023; 15:e36052. [PMID: 37056522 PMCID: PMC10089637 DOI: 10.7759/cureus.36052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/12/2023] [Indexed: 03/13/2023] Open
Abstract
Background Community-acquired pneumonia remains a significant factor in global mortality. Several clinical scoring models are used for predicting pneumonia severity and mortality, aiding in the clinical decision relative to the therapeutic approach, including the CURB-65 score. However, currently, no models exist to identify high-risk patients relative to long-term prognosis when recent evidence reveals a significantly higher mortality rate in the first year after community-acquired pneumonia (CAP) hospitalization. Purpose of the study The purpose of this study is to evaluate the application of the CURB-65 scoring model in our population and examine its potential to predict prognosis and subsequent mortality 6 months after hospitalization. Other potential factors influencing mortality during and after hospitalization were characterized: patient demographics, nosocomial infections, readmissions, and identified pathogens. Study design We conducted a retrospective observational study, enrolling 130 patients admitted with a diagnosis of CAP in the department of internal medicine of Centro Hospitalar Universitário Cova da Beira between January and December of 2018. Consultation of electronic medical records was used to calculate the CURB-65 score on admission at the first hospitalization by CAP, categorizing patients into five risk groups. Mortality and readmission were evaluated after 30, 90, and 180 days. Key results High-risk patients (CURB>2) accounted for 96.9% of our study population. Inpatient mortality of 13%, increasing to 21.5% after six months, was similar to previous studies and was correlated to the CURB-65 score on admission. A microbiologic agent was identified in 37% of cases, with 53% isolates of Streptococcus (S.) pneumoniae. Conclusions Identifying high-risk patients is important for more individualized healthcare and management. The CURB-65 score, only validated for a short-term (30 days) prediction, demonstrates a potential to also predict mortality and rehospitalization in the six-month period after hospitalization, as supported by our findings and previous studies.
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T. Nguyen K, T. Pham S, P.M. Vo T, X. Duong C, A. Perwitasari D, H.K. Truong N, T.H. Quach D, N.P. Nguyen T, T.T. Duong V, M. Nguyen P, H. Nguyen T, Taxis K, Nguyen T. Pneumonia: Drug-Related Problems and Hospital Readmissions. Infect Dis (Lond) 2022. [DOI: 10.5772/intechopen.100127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Pneumonia is one of the most common infectious diseases and the fourth leading cause of death globally. According to US statistics in 2019, pneumonia is the most common cause of sepsis and septic shock. In the US, inpatient pneumonia hospitalizations account for the top 10 highest medical costs, totaling $9.5 billion for 960,000 hospital stays. The emergence of antibiotic resistance in the treatment of infectious diseases, including the treatment of pneumonia, is a globally alarming problem. Antibiotic resistance increases the risk of death and re-hospitalization, prolongs hospital stays, and increases treatment costs, and is one of the greatest threats in modern medicine. Drug-related problems (DRPs) in pneumonia - such as suboptimal antibiotic indications, prolonged treatment duration, and drug interactions - increase the rate of antibiotic resistance and adverse effects, thereby leading to an increased burden in treatment. In a context in which novel and effective antibiotics are scarce, mitigating DRPs in order to reduce antibiotic resistance is currently a prime concern. A variety of interventions proven useful in reducing DRPs are antibiotic stewardship programs, the use of biomarkers, computerized physician order entries and clinical decision support systems, and community-acquired pneumonia scores.
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Aliberti S, Dela Cruz CS, Amati F, Sotgiu G, Restrepo MI. Community-acquired pneumonia. Lancet 2021; 398:906-919. [PMID: 34481570 DOI: 10.1016/s0140-6736(21)00630-9] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 02/22/2021] [Accepted: 03/05/2021] [Indexed: 02/06/2023]
Abstract
Community-acquired pneumonia is not usually considered a high-priority problem by the public, although it is responsible for substantial mortality, with a third of patients dying within 1 year after being discharged from hospital for pneumoniae. Although up to 18% of patients with community-acquired pneumonia who were hospitalised (admitted to hospital and treated there) have at least one risk factor for immunosuppression worldwide, strong evidence on community-acquired pneumonia management in this population is scarce. Several features of clinical management for community-acquired pneumonia should be addressed to reduce mortality, morbidity, and complications related to community-acquired pneumonia in patients who are immunocompetent and patients who are immunocompromised. These features include rapid diagnosis, microbiological investigation, prevention and management of complications (eg, respiratory failure, sepsis, and multiorgan failure), empirical antibiotic therapy in accordance with patient's risk factors and local microbiological epidemiology, individualised antibiotic therapy according to microbiological data, appropriate outcomes for therapeutic switch from parenteral to oral antibiotics, discharge planning, and long-term follow-up. This Seminar offers an updated view on community-acquired pneumonia in adults, with suggestions for clinical and translational research.
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Affiliation(s)
- Stefano Aliberti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy; IRCCS Humanitas Research Hospital, Respiratory Unit, Rozzano, Italy.
| | - Charles S Dela Cruz
- Department of Internal Medicine, Section of Pulmonary, Critical Care and Sleep Medicine, Center for Pulmonary Infection Research and Treatment, Yale School of Medicine, New Haven, CT, USA
| | - Francesco Amati
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy; IRCCS Humanitas Research Hospital, Respiratory Unit, Rozzano, Italy
| | - Giovanni Sotgiu
- Department of Medical, Surgical and Experimental Sciences, Clinical Epidemiology and Medical Statistics Unit, University of Sassari, Sassari, Italy
| | - Marcos I Restrepo
- Department of Medicine, Division of Pulmonary Diseases and Critical Care Medicine, University of Texas Health San Antonio, San Antonio, TX, USA
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Canonne AM, Menard M, Maurey C, Benchrekroun G, Fernandes Rodrigues N, Billen F, Clercx C. Comparison of C-reactive protein concentrations in dogs with Bordetella bronchiseptica infection and aspiration bronchopneumonia. J Vet Intern Med 2021; 35:1519-1524. [PMID: 33709444 PMCID: PMC8163113 DOI: 10.1111/jvim.16091] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 02/17/2021] [Accepted: 02/19/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND C-reactive protein (CRP) is a well-known acute-phase protein in dogs that may discriminate bacterial bronchopneumonia from other pulmonary conditions. Bronchopneumonia caused by Bordetella bronchiseptica (Bb) is common but the associated increase in CRP concentration in naturally infected dogs has not been fully explored. OBJECTIVE To compare CRP concentrations of dogs with Bb infection, with or without radiographic pulmonary lesions, to dogs with aspiration bronchopneumonia (ABP). ANIMALS Sixteen dogs with Bb infection and 36 dogs with ABP. METHODS Retrospective study. C-reactive protein concentrations and thoracic radiographs were available for each dog. RESULTS Eleven dogs with Bb infection had alveolar lesions. In all dogs, CRP concentration was mildly increased (14-38 mg/L). In the 5 dogs without alveolar lesions, CRP concentration was within the reference range in all but 1 dog, in which it was slightly increased. Median CRP concentration was significantly higher in dogs with alveolar lesions (20 mg/L) compared with dogs without alveolar lesions (5 mg/L; p < .002). In dogs with Bb infection, median duration of clinical signs was not different between dogs with normal CRP concentration and dogs with increased concentration. In dogs with Bb infection either with or without alveolar lessions, median CRP concentration was significantly lower (20 mg/L) than in dogs with ABP (118 mg/L; p < .001). CONCLUSIONS AND CLINICAL IMPORTANCE In contrast to dogs with APB, CRP was not a good marker for the diagnosis of dogs suspected to have bordetellosis. Confirmation of Bb infection still requires lower airway sampling.
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Affiliation(s)
- Aude Morgane Canonne
- Department of Medicine, Ecole nationale vétérinaire d'Alfort, Univ Paris Est Créteil, Maisons-Alfort, France.,Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Maud Menard
- Department of Medicine, Ecole nationale vétérinaire d'Alfort, Univ Paris Est Créteil, Maisons-Alfort, France
| | - Christelle Maurey
- Department of Medicine, Ecole nationale vétérinaire d'Alfort, Univ Paris Est Créteil, Maisons-Alfort, France
| | - Ghita Benchrekroun
- Department of Medicine, Ecole nationale vétérinaire d'Alfort, Univ Paris Est Créteil, Maisons-Alfort, France
| | - Nina Fernandes Rodrigues
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Frédéric Billen
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Cecile Clercx
- Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
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