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      SARS-CoV-2 Viral Load in Clinical Samples from Critically Ill Patients

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          To the Editor: An outbreak caused by a newly identified coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first reported in Wuhan, China, in December 2019 (1) and has since spread across mainland China and to other countries. The clinical spectrum of coronavirus disease (COVID-19) ranges from asymptomatic to severe disease, and studies in China showed that 5.0% of patients had been admitted to the ICU (2, 3). Real-time RT-PCR assays are recommended for the diagnosis of SARS-CoV-2 infection (4). A previous study reported SARS-CoV-2 viral loads in upper-respiratory specimens from patients with COVID-19 (5). Here, we investigated the viral load in specimens from multiple sites and the duration of viral shedding in respiratory-tract samples from laboratory-confirmed critically ill patients with COVID-19 requiring ICU admission. Methods We conducted a retrospective, descriptive study that included 16 consecutive critically ill patients with COVID-19 who had been admitted to the ICU of the First Affiliated Hospital of Guangzhou Medical University. The study was approved by the Ethics Committee of the First Affiliated Hospital of Guangzhou Medical University. The requirement for informed consent was waived for the retrospective collection of data. A protocol was developed for sample collection when the first patient was admitted to the ICU, as follows: serial samples from the upper respiratory tract (throat and nasal swabs) and lower respiratory tract (sputum or endotracheal aspirate [ETA]) were collected daily during the first week after admission and every 2–3 days after the first week, until two sequential negative results were obtained or the patient was discharged from the ICU. Plasma, serum, conjunctival swabs, and urine samples were also collected in the first week after ICU admission. Fifteen patients tested negative in these samples, and in the remaining patient, sample collection was discontinued when two sequential negative results were obtained. Fecal samples were collected when available, and if unavailable, anal swabs were collected instead. Gastric fluid samples were collected only in patients with an indwelling gastric tube. Most sampling was done according to the designed protocol (see the online supplement). Swab samples were immediately placed into sterile tubes containing 3 ml of viral transport medium. The specimens were sent to the virology laboratory of our hospital for sample processing and viral RNA extraction. We used 0.25 ml of liquid samples (viral transport medium or directly from biological specimens) for RNA extraction. Viral RNA of SARS-CoV-2 was detected according to the recommendations of the Chinese Center for Disease Control and Prevention (6). Two target genes, ORF1ab (open reading frame 1ab) and N (nucleocapsid protein), were simultaneously amplified and tested using a real-time RT-PCR assay. The viral load was indicated as the cycle threshold (Ct) value of the N gene of SARS-CoV-2. Positive and negative controls were included in the assay according to the manufacturer’s protocol. A Ct value of <40 was defined as positive for SARS-CoV-2 RNA, and >40 was defined as negative. Samples with a Ct value between 37 and 40 were retested at least twice. The Ct values of all samples collected and tested are shown in the online supplement. Results A total of 16 patients (13 men and 3 women; median age, 59.5 yr; range, 26–79 yr) who were admitted to our ICU from January 26 through February 25, 2020, were included in this study. Twelve patients were imported cases who had recently returned from Hubei Province, and four had been exposed to patients with confirmed SARS-CoV-2 infection. Most patients (75%) had at least one preexisting chronic condition. All of the patients showed evidence of pneumonia in chest radiographs, and 15 patients were diagnosed with acute respiratory distress syndrome (ARDS) (eight with moderate ARDS and seven with severe ARDS) upon admission. Four patients (25%) were supported with noninvasive positive-pressure ventilation, and 12 (75%) were supported with invasive mechanical ventilation. Extracorporeal membrane oxygenation was applied in five patients (31%) (Table 1). As of March 20, nine patients had been discharged from the ICU and all 16 patients were alive. Table 1. Baseline and Clinical Characteristics, Main Interventions, and Detection of SARS-CoV-2 in Specimens from Patients with SARS-CoV-2 Infection Admitted to the ICU Variables All Patients (N = 16) Age, yr, median (range) 59.5 (26–79) Male sex, n (%) 13 (81%) Body mass index, kg/m2, median (Q1–Q3) 24.1 (22.0–27.5) Chronic conditions, n (%) 12 (75%)  Diabetes 6 (37%)  Chronic cardiac disease 10 (63%)  Chronic pulmonary disease 5 (31%)  Chronic neurologic disease 2 (13%)  Any malignancy 1 (6%)  Liver disease 2 (13%) Smoker (including ex-smoker), n (%) 9 (56%) Exposure, n (%)    Exposure to Hubei 12 (75%)  Exposure to confirmed patients 4 (25%) Days from onset of symptoms to ICU admission, median (Q1–Q3) 12.0 (9.0–16.5) Ratio of PaO2 to Fi O2 on Day 1, mm Hg, mean ± SD 120.7 ± 60.8 APACHE II score on Day 1, mean ± SD 16.4 ± 7.8 SOFA score on Day 1, mean ± SD 6.9 ± 3.8 ARDS, n (%) 15 (94%)  Mild ARDS 0  Moderate ARDS 8 (50%)  Severe ARDS 7 (44%) Mechanical ventilation during ICU stay, n (%)    Noninvasive 4 (25%)  Invasive 12 (75%) Extracorporeal membrane oxygenation during ICU stay, n (%) 5 (31%) Positive for SARS-CoV-2 during ICU stay, n/patients tested    Nasal swab 13/16  Throat swab 10/16  Sputum/ETA 16/16  Conjunctival swab 1/15  Blood 1/16  Urine 1/16  Gastric fluid 6/13  Feces 11/16  Anal swab 4/15 Definition of abbreviations: APACHE II = Acute Physiology and Chronic Health Evaluation II; ARDS = acute respiratory distress syndrome; ETA = endotracheal aspirate; Q1 = quartile 1; Q3 = quartile 3; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2; SOFA = Sequential Organ Failure Assessment. The median number of days from the onset of symptoms to ICU admission was 12.0 days (quartile 1–quartile 3: 9.0–16.5). During the ICU stay, nasal swab samples from 13 patients (81%) and throat swab samples from 10 patients (63%) tested positive for SARS-CoV-2, but lower-respiratory specimens (sputum or ETA) were positive in all 16 patients (100%). Viral RNA was also detected in urine (1 patient), conjunctival swab (1 of 15 patients; 1 patient refused to provide a conjunctival swab), and gastric fluid (6 of 13 patients). SARS-CoV-2 viral RNA was also detected in fecal samples from 11 patients (69%) and anal swabs (4 patients). In one patient, viral RNA was present in all types of specimens taken, suggesting that infection in this patient may have been systemic (Table 1). We analyzed the viral load and duration of virus shedding in nasal and throat swabs and lower-respiratory specimens in relation to the day of symptom onset (Figure 1A). Surprisingly, 11 patients (69%) showed prolonged viral shedding in lower-respiratory specimens, beyond 28 days after the onset of symptoms. As of March 20, the longest observed period of viral shedding in lower-respiratory-tract specimens was 55 days (patient #4; online supplement). In addition, lower-respiratory-tract specimens (sputum or ETA) had significantly higher SARS-CoV-2 viral RNA levels (inversely related to the Ct value) than nasal and throat swab specimens (Figure 1B). Our results indicated that samples from the lower respiratory tract had the highest viral load but slowest resolution of viral shedding in comparison with throat and nasal swab samples. Figure 1. Viral load detected in respiratory specimens obtained from critically ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). (A) Aggregated cycle threshold (Ct) values of the nucleocapsid protein gene of SARS-CoV-2 in serial throat swabs, nasal swabs, and sputum/endotracheal aspirate (ETA) samples from 16 patients, according to days after symptom onset. (B) Box plot of the lowest Ct values in throat swabs, nasal swabs, and sputum/ETA samples during the entire ICU stay among patients with coronavirus disease (COVID-19). Box-and-whiskers plot features are as follows: the central line in the box is the median, the bottom line of the box is the first quartile, and the top line of the box is the third quartile. Bottom of whiskers: maximum Ct value; top of whiskers: minimum Ct value. Groups were compared using the Kruskal-Wallis test with Dunn’s multiple comparison test. *P < 0.01. Discussion It is generally believed that the lung is the major target organ of SARS-CoV-2; however, we detected viral RNA in numerous different clinical samples, including conjunctival swabs, blood samples, gastric juices, feces, anal swabs, and urine from critically ill patients. Wang and colleagues tested 1,070 specimens collected from 205 patients with COVID-19 and found that the virus could be detected in different types of clinical specimens, including respiratory-tract samples, feces, and blood (7). However, the detection of viral RNA does not always equate with the presence of infectious virus, and viral RNA shedding of SARS-CoV-2 does not equate with infectivity. Our colleagues (Sun and colleagues, manuscript under review) had previously succeeded in isolating infectious virus from a urine sample from one of our patients. This suggests that the SARS-CoV-2 virus can replicate in extrapulmonary sites, as has been observed in some patients with severe viral pneumonia, such as that caused by the highly pathogenic avian influenza (8). However, the role of SARS-CoV-2 transmission via extrarespiratory routes (e.g., fecal–oral transmission) in the spread of COVID-19 must be further investigated. Our findings are in accord with reports showing that ACE2 (angiotensin converting enzyme II), the putative cell entry receptor of SARS-CoV-2, is widely expressed in a variety of epithelial cells in multiple organs (9). It is still unclear whether replication of SARS-CoV-2 in extrapulmonary organs contributes to organ injury and dysfunction, considering that secondary organ injury owing to hypoxia, tissue hypoperfusion, and inflammation is common in critically ill patients. Zou and colleagues found that SARS-CoV-2 viral RNA could be weakly detected in nasal and throat swabs after 14 days from symptom onset (5). Pan and colleagues reported viral loads from different types of clinical specimens collected from 82 infected individuals within a maximum of 15 days after symptom onset (10). Zhou and colleagues found that the median duration of viral shedding in throat swabs was 20.0 days in COVID-19 survivors (11). Here, we found that SARS-CoV-2 viral RNA could be detected in sputum or ETA beyond 28 days from symptom onset in 11 patients (69%), as well as in extrapulmonary samples from these critically ill patients. These findings have important implications for assessing transmission risk and protecting ICU staff, and highlight the importance of effective antiviral treatment for critically ill patients with COVID-19. This study is limited by the small number of critically ill patients and the lack of nonsurvivor data (there were no deaths in our ICU during the study period). In addition, we were not able to sample consistently according to the designed protocol, and sampling was discontinued after patients were discharged to the hospital’s isolation ward. Longitudinal studies in a larger cohort would enhance our understanding of viral load and shedding in patients with COVID-19. In conclusion, critically ill patients infected with SARS-CoV-2 demonstrated higher viral loads and prolonged shedding in lower-respiratory-tract specimens than in upper-respiratory-tract specimens. Sampling from the lower respiratory tract may be required to assess the true viral clearance in such patients.

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          Clinical Characteristics of Coronavirus Disease 2019 in China

          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 the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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            Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

            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<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days. 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.
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              A Novel Coronavirus from Patients with Pneumonia in China, 2019

              Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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                Author and article information

                Journal
                Am J Respir Crit Care Med
                Am. J. Respir. Crit. Care Med
                ajrccm
                American Journal of Respiratory and Critical Care Medicine
                American Thoracic Society
                1073-449X
                1535-4970
                1 June 2020
                1 June 2020
                1 June 2020
                1 June 2020
                : 201
                : 11
                : 1435-1438
                Affiliations
                [ 1 ]State Key Laboratory of Respiratory Diseases

                Guangzhou, China
                [ 2 ]Guangzhou Institute of Respiratory Health

                Guangzhou, China

                and
                [ 3 ]First Affiliated Hospital of Guangzhou Medical University

                Guangzhou, China
                Author notes
                [*]

                These authors contributed equally to this work.

                [ ]Corresponding authors (e-mails: lxq1118@ 123456126.com and dryiminli@ 123456vip.163.com ).
                Article
                202003-0572LE
                10.1164/rccm.202003-0572LE
                7258645
                32293905
                f4872138-5ed8-4e81-8a13-560b5f3aeb30
                Copyright © 2020 by the American Thoracic Society

                This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 ( http://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern ( dgern@ 123456thoracic.org ).

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