COVID-19 with Different Severities: A Multicenter Study of Clinical Features.

Rationale: The coronavirus disease (COVID-19) pandemic is now a global health concern.Objectives: We compared the clinical characteristics, laboratory examinations, computed tomography images, and treatments of patients with COVID-19 from three different cities in China.Methods: A total of 476 patients were recruited from January 1, 2020, to February 15, 2020, at three hospitals in Wuhan, Shanghai, and Anhui. The patients were divided into four groups according to age and into three groups (moderate, severe, and critical) according to the fifth edition of the Guidelines on the Diagnosis and Treatment of COVID-19 issued by the National Health Commission of China.Measurements and Main Results: The incidence of comorbidities was higher in the severe (46.3%) and critical (67.1%) groups than in the moderate group (37.8%). More patients were taking angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers in the moderate group than in the severe and critical groups. More patients had multiple lung lobe involvement and pleural effusion in the critical group than in the moderate group. More patients received antiviral agents within the first 4 days in the moderate group than in the severe group, and more patients received antibiotics and corticosteroids in the critical and severe groups. Patients >75 years old had a significantly lower survival rate than younger patients.Conclusions: Multiple organ dysfunction and impaired immune function were the typical characteristics of patients with severe or critical illness. There was a significant difference in the use of angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers among patients with different severities of disease. Involvement of multiple lung lobes and pleural effusion were associated with the severity of COVID-19. Advanced age (≥75 yr) was a risk factor for mortality.

Pathogen evolution, prevention/control strategy and clinical features of COVID-19: experiences from China.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported at the end of 2019 as a worldwide health concern causing a pandemic of unusual viral pneumonia and many other organ damages, which was defined by the World Health Organization as coronavirus disease 2019 (COVID-19). The pandemic is considered a significant threat to global public health till now. In this review, we have summarized the lessons learnt during the emergence and spread of SARS-CoV-2, including its prototype and variants. The overall clinical features of variants of concern (VOC), heterogeneity in the clinical manifestations, radiology and pathology of COVID-19 patients are also discussed, along with advances in therapeutic agents.

Liver dysfunction on admission worsens clinical manifestations and outcomes of coronavirus disease 2019.

Background: Liver dysfunction was common in coronavirus disease 2019 (COVID-19), but its association with clinical features and poor prognosis has not been fully delineated. Our study aimed to determine the role of liver dysfunction in COVID-19 and understand the predictors for worse outcomes in patients with liver injury. Methods: We conducted this multicenter, retrospective study in five designated hospitals for COVID-19 management. Laboratory-confirmed COVID-19 patients were enrolled and classified into the normal live function group and liver dysfunction group according to liver enzymes, bilirubin, and albumin on admission, respectively. Data of baseline, clinical manifestations, and outcomes were collected and compared in the paired groups. Results: Of the 649 included COVID-19 patients, 200 (30.8%), 69 (10.6%), and 267 (41.1%) patients had elevated liver enzymes, increased bilirubin, and low-level albumin, respectively. Fever, cough, and dyspnea were the most common symptoms and showed an increased proportion in the liver dysfunction group. Compared with patients in the normal liver function group, patients with liver dysfunction manifested decreased lymphocytes, higher level of leukocytes, neutrophils, inflammatory indicators, and cytokines, as well as more severe impairment in kidney function and myocardium. They were more likely to show bilateral involvement and more pulmonary lobes involved according to chest images. With increased proportion of patients who developed severe/critical conditions and needed mechanical ventilation and systemic glucocorticoid therapy, patients with liver dysfunction on admission showed significantly higher in-hospital mortality. Moreover, cardiac troponin I ≥1.5 ng/mL was identified as an independent mortality predictor in the elevated liver enzymes group. Conclusion: Patients with liver dysfunction on admission had worse clinical manifestation, and resulted in higher rate of severe/critical type, receiving mechanical ventilation and in-hospital mortality.

A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia.

BACKGROUND: Severe community-acquired pneumonia (SCAP) results in high mortality as well as massive economic burden worldwide, yet limited knowledge of the bio-signatures related to prognosis has hindered the improvement of clinical outcomes. Pathogen, microbes and host are three vital elements in inflammations and infections. This study aims to discover the specific and sensitive biomarkers to predict outcomes of SCAP patients. METHODS: In this study, we applied a combined metagenomic and transcriptomic screening approach to clinical specimens gathered from 275 SCAP patients of a multicentre, prospective study. FINDINGS: We found that 30-day mortality might be independent of pathogen category or microbial diversity, while significant difference in host gene expression pattern presented between 30-day mortality group and the survival group. Twelve outcome-related clinical characteristics were identified in our study. The underlying host response was evaluated and enrichment of genes related to cell activation, immune modulation, inflammatory and metabolism were identified. Notably, omics data, clinical features and parameters were integrated to develop a model with six signatures for predicting 30-day mortality, showing an AUC of 0.953 (95% CI: 0.92-0.98). INTERPRETATION: In summary, our study linked clinical characteristics and underlying multi-omics bio-signatures to the differential outcomes of patients with SCAP. The establishment of a comprehensive predictive model will be helpful for future improvement of treatment strategies and prognosis with SCAP. FUNDING: National Natural Science Foundation of China (No. 82161138018), Shanghai Municipal Key Clinical Specialty (shslczdzk02202), Shanghai Top-Priority Clinical Key Disciplines Construction Project (2017ZZ02014), Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases (20dz2261100).

Aetiology of severe community acquired pneumonia in adults identified by combined detection methods: a multi-centre prospective study in China.

Severe Community Acquired Pneumonia (SCAP) challenges public health globally. Considerable improvements in molecular pathogen testing emerged in the last few years. Our prospective study combinedly used traditional culture, antigen tests, PCR and mNGS in SCAP pathogen identification with clinical outcomes. From June 2018 to December 2019, we conducted a multi-centre prospective study in 17 hospitals of SCAP patients within 48 hours of emergency room stay or hospitalization in China. All clinical data were uploaded into an online database. Blood, urine and respiratory specimens were collected for routine culture, antigen detection, PCR and mNGS as designed appropriately. Aetiology confirmation was made by the local attending physician group and scientific committee according to microbiological results, clinical features, and response to the treatment. Two hundred seventy-five patients were included for final analysis. Combined detection methods made identification rate up to 74.2% (222/299), while 14.4% (43/299) when only using routine cultures and 40.8% (122/299) when not using mNGS. Influenza virus (23.2%, 46/198), S. pneumoniae (19.6%, 39/198), Enterobacteriaceae (14.6%, 29/198), Legionella pneumophila (12.6%, 25/198), Mycoplasma pneumoniae (11.1%, 22/198) were the top five common pathogens. The in-hospital mortality of patients with pathogen identified and unidentified was 21.7% (43/198) and 25.9% (20/77), respectively. In conclusion, early combined detection increased the pathogen identification rate and possibly benefitted survival. Influenza virus, S. pneumoniae, Enterobacteriaceae was the leading cause of SCAP in China, and there was a clear seasonal distribution pattern of influenza viruses. Physicians should be aware of the emergence of uncommon pathogens, including Chlamydia Psittaci and Leptospira.

Surfaceome CRISPR screen identifies OLFML3 as a rhinovirus-inducible IFN antagonist.

BACKGROUND: Rhinoviruses (RVs) cause more than half of common colds and, in some cases, more severe diseases. Functional genomics analyses of RVs using siRNA or genome-wide CRISPR screen uncovered a limited set of host factors, few of which have proven clinical relevance. RESULTS: Herein, we systematically compare genome-wide CRISPR screen and surface protein-focused CRISPR screen, referred to as surfaceome CRISPR screen, for their efficiencies in identifying RV host factors. We find that surfaceome screen outperforms the genome-wide screen in the success rate of hit identification. Importantly, using the surfaceome screen, we identify olfactomedin-like 3 (OLFML3) as a novel host factor of RV serotypes A and B, including a clinical isolate. We find that OLFML3 is a RV-inducible suppressor of the innate immune response and that OLFML3 antagonizes type I interferon (IFN) signaling in a SOCS3-dependent manner. CONCLUSION: Our study suggests that RV-induced OLFML3 expression is an important mechanism for RV to hijack the immune system and underscores surfaceome CRISPR screen in identifying viral host factors.

Intrapulmonary distal airway stem cell transplantation repairs lung injury in chronic obstructive pulmonary disease.

OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is characterized by irreversible lung tissue damage including chronic bronchitis and emphysema, which could further develop into respiratory failure. Many studies have revealed a potential regenerative function of the distal airway stem/progenitor cells (DASCs) after lung injury. MATERIALS AND METHODS: Mouse and human DASCs were expanded, analysed, and engrafted into injured mouse lungs. Single-cell analyses were performed to reveal the differentiation path of the engrafted cells. Finally, human DASCs were transplanted into COPD mice induced by porcine pancreatic elastase (PPE) and lipopolysaccharide (LPS) administration. RESULTS: We showed that isolated mouse and human DASCs could be indefinitely expanded and were able to further differentiate into mature alveolar structures in vitro. Single-cell analysis indicated that the engrafted cells expressed typical cellular markers of type I alveolar cells as well as the specific secreted proteins. Interestingly, transplantation of human DASCs derived from COPD patients into the lungs of NOD-SCID mice with COPD injury repaired the tissue damage and improved the pulmonary function. CONCLUSIONS: The findings demonstrated that functional lung structure could be reconstituted by intrapulmonary transplantation of DASCs, suggesting a potential therapeutic role of DASCs transplantation in treatment for chronic obstructive pulmonary disease.

Development of a Broadly Applicable Cas12a-Linked Beam Unlocking Reaction for Sensitive and Specific Detection of Respiratory Pathogens Including SARS-CoV-2.

The outbreak of novel coronavirus SARS-CoV-2 has caused a worldwide threat to public health. COVID-19 patients with SARS-CoV-2 infection can develop clinical symptoms that are often confused with the infections of other respiratory pathogens. Sensitive and specific detection of SARS-CoV-2 with the ability to discriminate from other viruses is urgently needed for COVID-19 diagnosis. Herein, we streamlined a highly efficient CRISPR-Cas12a-based nucleic acid detection platform, termed Cas12a-linked beam unlocking reaction (CALIBURN). We show that CALIBURN could detect SARS-CoV-2 and other coronaviruses and influenza viruses with little cross-reactivity. Importantly, CALIBURN allowed accurate diagnosis of clinical samples with extremely low viral loads, which is a major obstacle for the clinical applications of existing CRISPR diagnostic platforms. When tested on the specimens from SARS-CoV-2-positive and negative donors, CALIBURN exhibited 73.0% positive and 19.0% presumptive positive rates and 100% specificity. Moreover, unlike existing CRISPR detection methods that were mainly restricted to respiratory specimens, CALIBURN displayed consistent performance across both respiratory and nonrespiratory specimens, suggesting its broad specimen compatibility. Finally, using a mouse model of SARS-CoV-2 infection, we demonstrated that CALIBURN allowed detection of coexisting pathogens without cross-reactivity from a single tissue specimen. Our results suggest that CALIBURN can serve as a versatile platform for the diagnosis of COVID-19 and other respiratory infectious diseases.

Troponin I, a risk factor indicating more severe pneumonia among patients with novel coronavirus infected pneumonia.

BACKGROUND: In December 2019, a novel communicable disease, novel coronavirus infected pneumonia (NCIP) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) broke out. We aimed to analyze the characteristics and severity of patients with myocardial damage in NCIP. METHODS: We enrolled 215 adult patients with NCIP from January 2020 to February 2020. Outcomes were followed up until March 1st, 2020. RESULTS: 28.37% of the total patients showed increased level of TnI (> 0.040 ng/ml). Patients were older and had more cardiovascular complications in increased TnI group. Higher CRP, NT-proBNP, lower immune CD3, CD4 and CD8 cell account and more involved lobes detected by CT scan in the lung were observed in increased TnI group. Patients with elevated TnI had higher CURB-65 scores and were more likely given glucocorticoid therapy and mechanical ventilation than patients in normal TnI group. CONCLUSIONS: Markers of cardiomyocyte injury were elevated not least in elderly males with pre-existing cardiovascular disease. Patients with elevated TnI presented more severe situation, leading to multiple organ dysfunctions, which appeared as a pivotal feature of patients with NCIP that requires attention by clinicians in order to provide necessary treatment as soon as possible and improve patients' outcomes.

The mNCP-SPI Score Predicting Risk of Severe COVID-19 among Mild-Pneumonia Patients on Admission.

PURPOSE: To predict the risk of developing severe pneumonia among mild novel coronavirus pneumonia (mNCP) patients on admission. METHODS: A retrospective cohort study was conducted at three hospitals in Shanghai and Wuhan from January 2020 to February 2020. Real-time polymerasechain-reaction assays were used to detect COVID-19. A total of 529 patients diagnosed with NCP were recruited from three hospitals and classified by four severity types during hospitalization following the standards of the Chinese Diagnosis and Treatment of Pneumonia Caused by New Coronavirus Infection (eighth version). Patients were excluded if admitted by ICU on admission (n=92, on a general ward while meeting the condition of severe or critical type on admission (n=25), or there was insufficient clinical information (n=64). In sum, 348 patients with mNCP were finally included, and 68 developed severe pneumonia. RESULTS: mNCP severity prognostic index values were calculated based on multivariate logistic regression: history of diabetes (OR 2.064, 95% CI 1.010-4.683; p=0.043), time from symptom onset to admission ≥7 days (OR 1.945, 95% CI 1.054-3.587; p=0.033), lymphocyte count ≤0.8 (OR 1.816, 95% CI 1.008-3.274; p=0.047), myoglobin ≥90 mg/L (OR 2.496, 95% CI 1.235-5.047; p=0.011), and D-dimer ≥0.5 mg/L (OR 2.740, 95% CI 1.395-5.380; p=0.003). This model showed a c-statistics of 0.747, with sensitivity and specificity 0.764 and 0.644, respectively, under cutoff of 165. CONCLUSION: We designed a clinical predictive tool for risk of severe pneumonia among mNCP patients to provided guidance for medicines. Further studies are required for external validation.