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Mei Jiang

Bio: Mei Jiang is an academic researcher from Guangzhou Medical University. The author has contributed to research in topics: Medicine & Chronic cough. The author has an hindex of 17, co-authored 65 publications receiving 1181 citations.


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Journal ArticleDOI
TL;DR: Hematologic and immunologic impairment showed a significantly different profile between survivors and non-survivors in COVID-19 patients with different severity, and a multivariate Cox regression model suggested that restored levels of lymphocytes, eosinophils and platelets could serve as the predictors for the recovery, while progressive increases in neutrophils, basophil and IL-6 were associated with fatal outcome.
Abstract: Background Crucial roles of hematologic and immunologic responses in progression of coronavirus disease 2019 (COVID-19) remain largely unclear. Objective We sought to address the dynamic changes in hematologic and immunologic biomarkers and their associations with severity and outcomes of COVID-19. Methods A retrospective study including 548 patients with COVID-19 with clarified outcome (discharged or deceased) from a national cohort in China was performed. Cross-sectional and longitudinal variations were compared and the associations with different severity and outcomes were analyzed. Results On admission, the counts of lymphocytes, T-cell subsets, eosinophils, and platelets decreased markedly, especially in severe/critical and fatal patients. Increased neutrophil count and neutrophils-to-lymphocytes ratio were predominant in severe/critical cases or nonsurvivors. During hospitalization, eosinophils, lymphocytes, and platelets showed an increasing trend in survivors, but maintained lower levels or dropped significantly afterwards in nonsurvivors. Nonsurvivors kept a high level or showed an upward trend for neutrophils, IL-6, procalcitonin, D-dimer, amyloid A protein, and C-reactive protein, which were kept stable or showed a downward trend in survivors. Positive correlation between CD8+ T-cell and lymphocytes count was found in survivors but not in nonsurvivors. A multivariate Cox regression model suggested that restored levels of lymphocytes, eosinophils, and platelets could serve as predictors for recovery, whereas progressive increases in neutrophils, basophils, and IL-6 were associated with fatal outcome. Conclusions Hematologic and immunologic impairment showed a significantly different profile between survivors and nonsurvivors in patients with COVID-19 with different severity. The longitudinal variations in these biomarkers could serve to predict recovery or fatal outcome.

233 citations

Journal ArticleDOI
TL;DR: In this article, the authors reported the epidemiological, viral, and clinical characteristics of hospitalized patients infected with the Delta variant of concern (VOC), also known as lineage B. The whole chain of the Delta VOC transmission was described and compared with a cohort of wild-type infection in 2020 admitted to the Guangzhou Eighth People's Hospital.

150 citations

Journal ArticleDOI
TL;DR: Cough is the most common symptom in respiratory specialist clinics of tertiary hospitals and outpatient clinics of primary health care facilities in China and is often misdiagnosed as chronic bronchitis or chronic pharyngitis.
Abstract: Cough is the most common symptom in respiratory specialist clinics of tertiary hospitals and outpatient clinics of primary health care facilities. In China, patients with chronic cough account for at least one third of all patients referred to respiratory specialist clinics. Chronic cough without significant abnormal chest radiographic findings is often misdiagnosed as chronic bronchitis or chronic pharyngitis. Misdiagnosis of cough results in unnecessary repetitive testing, such as chest radiographs or computed tomography (CT), and widespread abuse of antibiotics or antitussives with little improvement, and potential adverse effects. Chronic cough impair quality of life badly cause severe economic burden in China (1-5).

83 citations

Journal ArticleDOI
TL;DR: This study established new reference values for better interpretation of spirometry in Chinese aged 4 to 80 years, while Caucasian references with adjustment were inappropriate for Chinese.
Abstract: Background Although there are over 1.34 billion Chinese in the world, nationwide spirometric reference values for Chinese are unavailable, which is usually based on Caucasian conversion. The aim of this study was to establish spirometric reference values for Chinese with a national wide sample. Methods We enrolled healthy non-smokers in 24 centers in Northeast, North, Northwest, Southwest, South, East and Central China from January 2007 to June 2010. Spirometry was performed according to American Thoracic Society and European Respiratory Society guidelines. Reference equations were established using the Lambda-Mu-Sigma (LMS) method for forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FEV1/FVC, peak expiratory flow (PEF) and maximal midexpiratory flow (MMEF). Popular Caucasian reference values adjusted with ethnic conversion factors were validated with Chinese measured spirometry data. The present study also compared with other published Chinese equations for spirometry. Results A total of 7,115 eligible individuals aged 4 to 80 years (50.9% females) were recruited. Reference equations against age and height by gender were established, including predicted values and lower limits of normal (LLNs). Validated with Chinese data, the mean percentage differences of Caucasian reference values adjusted with ethnic conversion factors were -10.2% to 1.8%, and the percentages of total subjects under LLNs were 0.1% to 8.9%. Compared with this study, the percentage differences of previous Chinese studies ranged from -17.8% to 11.4%, which were found to significantly overestimate or underestimate lung function. Conclusions This study established new reference values for better interpretation of spirometry in Chinese aged 4 to 80 years, while Caucasian references with adjustment were inappropriate for Chinese.

70 citations


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TL;DR: The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006, and a broader consortium sharing and support model was created.

8,712 citations

01 Jan 2020
TL;DR: Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future.
Abstract: Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

4,408 citations

01 Sep 2008
TL;DR: The Methodology used to Prepare the Guideline Epidemiology Incidence Etiology and Recommendations for Assessing Response to Therapy Suggested Performance Indicators is summarized.
Abstract: Executive Summary Introduction Methodology Used to Prepare the Guideline Epidemiology Incidence Etiology Major Epidemiologic Points Pathogenesis Major Points for Pathogenesis Modifiable Risk Factors Intubation and Mechanical Ventilation Aspiration, Body Position, and Enteral Feeding Modulation of Colonization: Oral Antiseptics and Antibiotics Stress Bleeding Prophylaxis, Transfusion, and Glucose Control Major Points and Recommendations for Modifiable Risk Factors Diagnostic Testing Major Points and Recommendations for Diagnosis Diagnostic Strategies and Approaches Clinical Strategy Bacteriologic Strategy Recommended Diagnostic Strategy Major Points and Recommendations for Comparing Diagnostic Strategies Antibiotic Treatment of Hospital-acquired Pneumonia General Approach Initial Empiric Antibiotic Therapy Appropriate Antibiotic Selection and Adequate Dosing Local Instillation and Aerosolized Antibiotics Combination versus Monotherapy Duration of Therapy Major Points and Recommendations for Optimal Antibiotic Therapy Specific Antibiotic Regimens Antibiotic Heterogeneity and Antibiotic Cycling Response to Therapy Modification of Empiric Antibiotic Regimens Defining the Normal Pattern of Resolution Reasons for Deterioration or Nonresolution Evaluation of the Nonresponding Patient Major Points and Recommendations for Assessing Response to Therapy Suggested Performance Indicators

2,961 citations

Journal ArticleDOI
TL;DR: It is found that among laboratory confirmed cases of COVID-19, patients with any comorbidity yielded poorer clinical outcomes than those without and a greater number ofComorbidities also correlated with poorer clinical outcome.
Abstract: Background The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide. Objective To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status. Methods We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities. Results The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424–5.048], diabetes (HR 1.59, 95%CI 1.03–2.45), hypertension (HR 1.58, 95%CI 1.07–2.32) and malignancy (HR 3.50, 95%CI 1.60–7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16–2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61–4.17) among patients with two or more comorbidities. Conclusion Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes.

2,587 citations

Journal ArticleDOI
David Ellinghaus1, Frauke Degenhardt1, Luis Bujanda1, Maria Buti1, Agustín Albillos1, Pietro Invernizzi1, J. Fernández1, Daniele Prati1, Guido Baselli1, Rosanna Asselta1, Marit Mæhle Grimsrud1, Chiara Milani1, Fatima Aziz1, Jan Christian Kässens1, Sandra May1, Mareike Wendorff1, Lars Wienbrandt1, Florian Uellendahl-Werth1, Tenghao Zheng1, Xiaoli Yi1, Raúl de Pablo1, Adolfo Garrido Chercoles1, Adriana Palom1, Alba Estela Garcia-Fernandez1, Francisco Rodriguez-Frias1, Alberto Zanella1, Alessandra Bandera1, Alessandro Protti1, Alessio Aghemo1, Ana Lleo1, Andrea Biondi1, Andrea Caballero-Garralda1, Andrea Gori1, Anja Tanck1, Anna Carreras Nolla1, Anna Latiano1, Anna Ludovica Fracanzani1, Anna Peschuck1, Antonio Julià1, Antonio Pesenti1, Antonio Voza1, David Jiménez1, Beatriz Mateos1, Beatriz Nafria Jimenez1, Carmen Quereda1, Cinzia Paccapelo1, Christoph Gassner1, Claudio Angelini1, Cristina Cea1, Aurora Solier1, David Pestana1, Eduardo Muñiz-Diaz1, Elena Sandoval1, Elvezia Maria Paraboschi1, Enrique Navas1, Félix García Sánchez1, Ferruccio Ceriotti1, F. Martinelli-Boneschi1, Flora Peyvandi1, Francesco Blasi1, Luis Téllez1, Albert Blanco-Grau1, Georg Hemmrich-Stanisak1, Giacomo Grasselli1, Giorgio Costantino1, Giulia Cardamone1, Giuseppe Foti1, Serena Aneli1, Hayato Kurihara1, Hesham ElAbd1, Ilaria My1, Iván Galván-Femenía1, Javier Martin1, Jeanette Erdmann1, José Ferrusquía-Acosta1, Koldo Garcia-Etxebarria1, Laura Izquierdo-Sanchez1, Laura Rachele Bettini1, Lauro Sumoy1, Leonardo Terranova1, Leticia Moreira1, Luigi Santoro1, Luigia Scudeller1, Francisco Mesonero1, Luisa Roade1, Malte C. Rühlemann1, Marco Schaefer1, Maria Carrabba1, Mar Riveiro-Barciela1, Maria Eloina Figuera Basso1, Maria Grazia Valsecchi1, María Hernández-Tejero1, Marialbert Acosta-Herrera1, Mariella D'Angiò1, Marina Baldini1, Marina Cazzaniga1, Martin Schulzky1, Maurizio Cecconi1, Michael Wittig1, Michele Ciccarelli1, Miguel Rodríguez-Gandía1, Monica Bocciolone1, Monica Miozzo1, Nicola Montano1, Nicole Braun1, Nicoletta Sacchi1, Nilda Martinez1, Onur Özer1, Orazio Palmieri1, Paola Faverio1, Paoletta Preatoni1, Paolo Bonfanti1, Paolo Omodei1, Paolo Tentorio1, Pedro Castro1, Pedro M. Rodrigues1, Aaron Blandino Ortiz1, Rafael de Cid1, Ricard Ferrer1, Roberta Gualtierotti1, Rosa Nieto1, Siegfried Goerg1, Salvatore Badalamenti1, Sara Marsal1, Giuseppe Matullo1, Serena Pelusi1, Simonas Juzenas1, Stefano Aliberti1, Valter Monzani1, Victor Moreno1, Tanja Wesse1, Tobias L. Lenz1, Tomás Pumarola1, Valeria Rimoldi1, Silvano Bosari1, Wolfgang Albrecht1, Wolfgang Peter1, Manuel Romero-Gómez1, Mauro D'Amato1, Stefano Duga1, Jesus M. Banales1, Johannes R. Hov1, Trine Folseraas1, Luca Valenti1, Andre Franke1, Tom H. Karlsen1 
TL;DR: A 3p21.31 gene cluster is identified as a genetic susceptibility locus in patients with Covid-19 with respiratory failure and a potential involvement of the ABO blood-group system is confirmed.
Abstract: Background There is considerable variation in disease behavior among patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (Covid-19) Genomewide association analysis may allow for the identification of potential genetic factors involved in the development of Covid-19 Methods We conducted a genomewide association study involving 1980 patients with Covid-19 and severe disease (defined as respiratory failure) at seven hospitals in the Italian and Spanish epicenters of the SARS-CoV-2 pandemic in Europe After quality control and the exclusion of population outliers, 835 patients and 1255 control participants from Italy and 775 patients and 950 control participants from Spain were included in the final analysis In total, we analyzed 8,582,968 single-nucleotide polymorphisms and conducted a meta-analysis of the two case-control panels Results We detected cross-replicating associations with rs11385942 at locus 3p2131 and with rs657152 at locus 9q342, which were significant at the genomewide level (P Conclusions We identified a 3p2131 gene cluster as a genetic susceptibility locus in patients with Covid-19 with respiratory failure and confirmed a potential involvement of the ABO blood-group system (Funded by Stein Erik Hagen and others)

1,529 citations