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Fengyun Gong

Bio: Fengyun Gong is an academic researcher from Wuhan Jinyintan Hospital. The author has contributed to research in topics: Medicine & Pharmacokinetics. The author has an hindex of 2, co-authored 2 publications receiving 12420 citations.

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Journal ArticleDOI
TL;DR: Characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia, and further investigation is needed to explore the applicability of the Mu LBSTA scores in predicting the risk of mortality in 2019-nCoV infection.

16,282 citations

Journal ArticleDOI
TL;DR: Early diagnosis, early isolation, multiple treatment, and intervention of CRRT and ECMO when necessary can effectively reduce mortality caused by severe coronavirus pneumonia.
Abstract: Background: Since December 2019, a novel coronavirus (2019-nCoV) associated pneumonia has emerged in Wuhan, China. The study aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods: 99 cases admitted to Wuhan Jinyintan Hospital during January 1 to 20, 2020 and confirmed by real-time reverse-transcriptase polymerase-chain-reaction (RT-PCR) test were analyzed for epidemiological, demographic, clinical, radiological features, and laboratory data. Findings: Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the South China Seafood Wholesale Market. The average age of the patients was 62.85 ± 11.99 years, including 67 males and 32 females. 2019-nCoV was detected in all patients by RT-PCR, and some of them also by serological testing, and metagenomics sequencing analysis. 50 cases (50.51%) had chronic basic diseases. Patients had clinical manifestations of fever (83%), cough (82%), shortness of breath (31%), muscle aches (11%), headache (8%), fuzzy confusion (7%), chest pain (2%), and diarrhea (2%). According to imaging examination, 74 patients showed bilateral pneumonia (74.75%), 25 patients showed multiple mottled and ground-glass opacity, and 1 patient had pneumothorax. Most patients received antiviral, antibiotics, supportive treatments, continuous renal replacement therapy (CRRT) and extracorporeal membrane oxygenation (ECMO), and had good prognosis. 17 patients developed acute Respiratory Distress Syndrome (ARDS) and among them, 2 patients worsened in a short period of time and died of multiple organ failure. Interpretation: The infection of the 2019-nCoV can result in severe and even fatal respiratory disease like ARDS. It is very important to actively prevent complications and secondary infections, treat underlying diseases, and provide timely organ function support. Early diagnosis, early isolation, multiple treatment, and intervention of CRRT and ECMO when necessary can effectively reduce mortality caused by severe coronavirus pneumonia. Funding: National Key R&D Program of China (No. 2017YFC1309700) Declaration of Interest: The author reports no conflicts of interest in this work. Ethical Approval: The study was approved by Jinyintan Hospital Ethics Committee and written informed consent was obtained from all patients involved before enrolment.

50 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the Pks of omeprazole is greatly influenced by CYP2C19, and the PK parameters of area under the concentration versus time curve (A UC)0‐t, AUC from zero to infinity (AUC0‐∞), maximum plasma concentration (Cmax), and terminal half‐life (t1/2).
Abstract: The aim of this study was to evaluate the relationship between polymorphisms in CYP2C19 and the single‐dose pharmacokinetics (PKs) of omeprazole in healthy Chinese volunteers. A 20 mg single dose of omeprazole (Losec) enteric‐coated capsules or tablets was orally administered to 656 healthy subjects from eight subcenters. The polymorphic alleles of CYP2C19*2, *3, and *17 were determined by Sanger sequencing and Agena mass array. Plasma concentrations of omeprazole were determined by high‐performance liquid‐chromatography tandem mass spectrometry. PK parameters of area under the concentration versus time curve (AUC)0‐t, AUC from zero to infinity (AUC0‐∞), maximum plasma concentration (Cmax), and terminal half‐life (t1/2) were significantly influenced by CYP2C19 phenotype (all p < 0.001) and diplotype (all p < 0.001), and the same results were obtained in the subgroup analysis of the effects of diet and dosage form. The polymorphisms of CYP2C19*2(rs4244285; all PK parameters p < 0.001) and *3(rs4986893; pCmax = 0.020, and the p values of other PK parameters were less than 0.001) were significantly associated with the PKs of omeprazole. For CYP2C19*17 (rs12248560), only t1/2 showed a significant correlation (p = 0.032), whereas other PK parameters did not. The present study demonstrated that the Pks of omeprazole is greatly influenced by CYP2C19.

3 citations

Journal ArticleDOI
TL;DR: A scoring system for distinguishing APTB from IPTB that performed well was constructed and developed and validated based on a nomogram of common clinical metrics to discriminate between active pulmonary tuberculosis and inactive pulmonary tuberculosis.
Abstract: Purpose This study aimed to develop and validate a scoring system based on a nomogram of common clinical metrics to discriminate between active pulmonary tuberculosis (APTB) and inactive pulmonary tuberculosis (IPTB). Patients and methods A total of 1096 patients with pulmonary tuberculosis (PTB) admitted to Wuhan Jinyintan Hospital between January 2017 and December 2019 were included in this study. Of these patients with PTB, 744 were included in the training cohort (70%; 458 patients with APTB, and 286 patients with IPTB), and 352 were included in the validation cohort (30%; 220 patients with APTB, and 132 patients with IPTB). Data from 744 patients from the training cohort were used to establish the diagnostic model. Routine blood examination indices and biochemical indicators were collected to construct a diagnostic model using the nomogram, which was then transformed into a scoring system. Furthermore, data from 352 patients from the validation cohort were used to validate the scoring system. Results Six variables were selected to construct the prediction model. In the scoring system, the mean corpuscular volume, erythrocyte sedimentation rate, albumin level, adenosine deaminase level, monocyte-to-high-density lipoprotein ratio, and high-sensitivity C-reactive protein-to-lymphocyte ratio were 6, 4, 7, 5, 5, and 10, respectively. When the cut-off value was 15.5, the scoring system for recognizing APTB and IPTB exhibited excellent diagnostic performance. The area under the curve, specificity, and sensitivity of the training cohort were 0.919, 84.06%, and 86.36%, respectively, whereas those of the validation cohort were 0.900, 82.73, and 86.36%, respectively. Conclusion This study successfully constructed a scoring system for distinguishing APTB from IPTB that performed well.

3 citations


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Journal ArticleDOI
TL;DR: During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness, and patients often presented without fever, and many did not have abnormal radiologic findings.
Abstract: Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of...

22,622 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death, including older age, high SOFA score and d-dimer greater than 1 μg/mL.

20,189 citations

Journal ArticleDOI
17 Mar 2020-JAMA
TL;DR: The epidemiological and clinical characteristics of novel coronavirus (2019-nCoV)-infected pneumonia in Wuhan, China, and hospital-associated transmission as the presumed mechanism of infection for affected health professionals and hospitalized patients are described.
Abstract: Importance In December 2019, novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited. Objective To describe the epidemiological and clinical characteristics of NCIP. Design, Setting, and Participants Retrospective, single-center case series of the 138 consecutive hospitalized patients with confirmed NCIP at Zhongnan Hospital of Wuhan University in Wuhan, China, from January 1 to January 28, 2020; final date of follow-up was February 3, 2020. Exposures Documented NCIP. Main Outcomes and Measures Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. Outcomes of critically ill patients and noncritically ill patients were compared. Presumed hospital-related transmission was suspected if a cluster of health professionals or hospitalized patients in the same wards became infected and a possible source of infection could be tracked. Results Of 138 hospitalized patients with NCIP, the median age was 56 years (interquartile range, 42-68; range, 22-92 years) and 75 (54.3%) were men. Hospital-associated transmission was suspected as the presumed mechanism of infection for affected health professionals (40 [29%]) and hospitalized patients (17 [12.3%]). Common symptoms included fever (136 [98.6%]), fatigue (96 [69.6%]), and dry cough (82 [59.4%]). Lymphopenia (lymphocyte count, 0.8 × 109/L [interquartile range {IQR}, 0.6-1.1]) occurred in 97 patients (70.3%), prolonged prothrombin time (13.0 seconds [IQR, 12.3-13.7]) in 80 patients (58%), and elevated lactate dehydrogenase (261 U/L [IQR, 182-403]) in 55 patients (39.9%). Chest computed tomographic scans showed bilateral patchy shadows or ground glass opacity in the lungs of all patients. Most patients received antiviral therapy (oseltamivir, 124 [89.9%]), and many received antibacterial therapy (moxifloxacin, 89 [64.4%]; ceftriaxone, 34 [24.6%]; azithromycin, 25 [18.1%]) and glucocorticoid therapy (62 [44.9%]). Thirty-six patients (26.1%) were transferred to the intensive care unit (ICU) because of complications, including acute respiratory distress syndrome (22 [61.1%]), arrhythmia (16 [44.4%]), and shock (11 [30.6%]). The median time from first symptom to dyspnea was 5.0 days, to hospital admission was 7.0 days, and to ARDS was 8.0 days. Patients treated in the ICU (n = 36), compared with patients not treated in the ICU (n = 102), were older (median age, 66 years vs 51 years), were more likely to have underlying comorbidities (26 [72.2%] vs 38 [37.3%]), and were more likely to have dyspnea (23 [63.9%] vs 20 [19.6%]), and anorexia (24 [66.7%] vs 31 [30.4%]). Of the 36 cases in the ICU, 4 (11.1%) received high-flow oxygen therapy, 15 (41.7%) received noninvasive ventilation, and 17 (47.2%) received invasive ventilation (4 were switched to extracorporeal membrane oxygenation). As of February 3, 47 patients (34.1%) were discharged and 6 died (overall mortality, 4.3%), but the remaining patients are still hospitalized. Among those discharged alive (n = 47), the median hospital stay was 10 days (IQR, 7.0-14.0). Conclusions and Relevance In this single-center case series of 138 hospitalized patients with confirmed NCIP in Wuhan, China, presumed hospital-related transmission of 2019-nCoV was suspected in 41% of patients, 26% of patients received ICU care, and mortality was 4.3%.

16,635 citations

Journal ArticleDOI
TL;DR: The clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia who were admitted to the intensive care unit (ICU) of Wuhan Jin Yin-tan hospital between late December, 2019 and Jan 26, 2020 are described.

7,787 citations

Journal ArticleDOI
13 Mar 2020-Science
TL;DR: The authors show that this protein binds at least 10 times more tightly than the corresponding spike protein of severe acute respiratory syndrome (SARS)–CoV to their common host cell receptor, and test several published SARS-CoV RBD-specific monoclonal antibodies found that they do not have appreciable binding to 2019-nCoV S, suggesting that antibody cross-reactivity may be limited between the two RBDs.
Abstract: The outbreak of a novel coronavirus (2019-nCoV) represents a pandemic threat that has been declared a public health emergency of international concern. The CoV spike (S) glycoprotein is a key target for vaccines, therapeutic antibodies, and diagnostics. To facilitate medical countermeasure development, we determined a 3.5-angstrom-resolution cryo-electron microscopy structure of the 2019-nCoV S trimer in the prefusion conformation. The predominant state of the trimer has one of the three receptor-binding domains (RBDs) rotated up in a receptor-accessible conformation. We also provide biophysical and structural evidence that the 2019-nCoV S protein binds angiotensin-converting enzyme 2 (ACE2) with higher affinity than does severe acute respiratory syndrome (SARS)-CoV S. Additionally, we tested several published SARS-CoV RBD-specific monoclonal antibodies and found that they do not have appreciable binding to 2019-nCoV S, suggesting that antibody cross-reactivity may be limited between the two RBDs. The structure of 2019-nCoV S should enable the rapid development and evaluation of medical countermeasures to address the ongoing public health crisis.

7,324 citations