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      Eosinopenia as an early diagnostic marker of COVID-19 at the time of the epidemic

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      EClinicalMedicine
      The Author(s). Published by Elsevier Ltd.

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          Abstract

          The Coronavirus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly worldwide since its outbreak in December 2019. COVID-19 may present with varying degrees of disease severity, from asymptomatic or mild upper respiratory illness to multiple organ failure with fatal outcome. SARS-CoV-2 is more contagious than SARS-CoV or the Middle East Respiratory Syndrome Coronavirus (MERS-CoV). Subsequently, isolation of suspected cases is of utmost importance to prevent the epidemic spreading. However, similar to SARS and MERS, fever and respiratory symptoms are not unique clinical manifestations of COVID-19 [1], despite that fever occurs in the majority (83% to 98%) of diagnosed COVID-19 patients [2]. While definitive diagnosis of COVID-19 requires a high degree of clinical understanding of its clinical characteristics with laboratory confirmation test of SARS-CoV-2 infection and typical pulmonary computed tomography abnormality, the initiative screening for COVID-19 mostly starts from fever clinics. Thus, it is critical for the fever clinic to efficiently triage suspected COVID-19 patients from other patients with similar symptoms, ideally to use a method that is accurate and yet be easily applicable. In this issue of EClinicalMedicine, Li and colleagues [3] reported that the combination of eosinopenia (defined as a reduction of circulating eosinophils <0.02 × 109/L) and elevated high sensitive C-reactive protein (hs-CRP, ≥4.0 mg/L) can effectively triage suspected COVID-19 patients from other patients attending the fever clinic with COVID-19-like symptoms, with a positive predictive value at 72.7%. In other words, about 73% of the predicted suspected COVID-19 are true COVID-19 patients that were subsequently diagnosed via standard confirmation tests. This finding is particularly useful and helpful for patients triage at the time of an epidemic outbreak when large number of patients with COVID-19 or COVID-19-like symptoms are expecting confirmative nucleic acid tests and/or radiographic examination, while related resources are limited. These two laboratory parameters could be particularly practical in certain underdeveloped regions and community clinics where simple blood tests may be the only available approach that can be used to help identify COVID-19 infection due to shortage of specialized equipment or reagents for nucleic acid tests, given that both eosinophil and hs-CRP can be included in routine blood tests. It is intriguing that eosinopenia alone produced a sensitivity of 74.7% and specificity of 68.7% [3] for separating COVID-19 cases and controls (other patients with COVID-19 -like symptoms), suggesting its usefulness and presumably some kind of uniqueness for preliminary COVID-19 screening. It has been known that eosinopenia, a reduction in blood eosinophil count, typically accompanies the response to acute infection or acute stress [4] although the related mechanism remains inadequately understood. Eosinopenia has been shown to be a reliable maker of sepsis on admission to intensive care units, which is highly sensitive in distinguishing between noninfection and infection, and be more specific than C-reactive protein [5]. Similarly, in the study of Li and colleagues [3], the area under the receiver operating characteristic (ROC) curve for eosinopenia (0.717) is greater than that for hs-CRP (0.707), and the combination of the two (i.e. eosinopenia and hs-CRP) only slightly increased the area under the ROC curve to 0.730. This is indicative that eosinopenia alone may serve as a good early diagnostic marker of COVID-19 at the time of the pandemic. However, it is of note that eosinophil test was not specifically included in some early reports focusing on clinical characteristics of confirmed COVID-19 patients [1,2,6] despite that hs-CRP was usually tested. A few studies that tested eosinophil showed that eosinopenia occurred in 52% [7] to 53% [8] of confirmed COVID-19 patients. This relatively stable range of the presentation of eosinopenia (52%−53%) in confirmed COVID-19 cases may serve to further justify its usefulness in predicting COVID-19, especially when used with other parameters like hs-CRP or the optimal eosinophil cutoff value be established (e.g., eosinopenia defined as circulating eosinophils <0.02 × 109/L vs. <0.01 × 109/L). While, further study is needed to answer whether or not eosinopenia may be associated with the severity or prognosis of COVID-19 [9]. It should be noted that there is currently increasing number of patients with biological drug-induced eosinopenia, during the treatment of specific diseases such as subsets of moderate and severe asthma and hypereosinophilic syndrome, and thus eosinophil responses during COVID-19 in these patients may be different [10]. And, this particular aspect of eosinopenia was not addressed in the study of Li et al. [3] and deserves attention or further study. Author contribution Dr. Xia wrote the commentary Declaration of Competing Interest The author has nothing to disclose

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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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 characteristics of 140 patients infected by SARS‐CoV‐2 in Wuhan, China

              Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been widely spread. We aim to investigate the clinical characteristic and allergy status of patients infected with SARS-CoV-2.
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                Author and article information

                Contributors
                Journal
                EClinicalMedicine
                EClinicalMedicine
                EClinicalMedicine
                The Author(s). Published by Elsevier Ltd.
                2589-5370
                18 June 2020
                June 2020
                18 June 2020
                : 23
                : 100398
                Affiliations
                [a ]Department of Anesthesiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
                [b ]Department of Anesthesiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
                Article
                S2589-5370(20)30142-5 100398
                10.1016/j.eclinm.2020.100398
                7299848
                32572392
                5a7b833a-0b1b-40f1-9e62-eb5ab647c814
                © 2020 The Author(s)

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 11 May 2020
                : 14 May 2020
                : 15 May 2020
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