Clinical Characteristics of Coronavirus Disease 2019 in China.
Wei-jie Guan1, Zhengyi Ni1, Yu Hu1, Wenhua Liang1, Chun-Quan Ou1, Jianxing He1, Lei Liu1, Hong Shan1, Chunliang Lei1, David S.C. Hui1, Bin Du1, Lanjuan Li1, Guang Zeng1, Kowk-Yung Yuen1, Ruchong Chen1, Chun-Li Tang1, Tao Wang1, Ping-Yan Chen1, Jie Xiang1, Shiyue Li1, Jinlin Wang1, Zi-jing Liang1, Yi-xiang Peng1, Li Wei1, Yong Liu1, Ya-hua Hu1, Peng Peng1, Jian-ming Wang1, Ji-yang Liu1, Zhong Chen1, Gang Li1, Zhi-jian Zheng1, Shao-qin Qiu1, Jie Luo1, Chang-jiang Ye1, Shao-yong Zhu1, Nanshan Zhong1 •
28 Feb 2020-The New England Journal of Medicine (Massachusetts Medical Society)-Vol. 382, Iss: 18, pp 1708-1720
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...
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Ling Mao1, Huijuan Jin1, Mengdie Wang1, Yu Hu1, Shengcai Chen1, Quan-Wei He1, Jiang Chang1, Candong Hong1, Yifan Zhou1, David Z. Wang2, Xiaoping Miao1, Yanan Li1, Bo Hu1 •
TL;DR: During the epidemic period of COVID-19, clinicians should suspect severe acute respiratory syndrome coronavirus 2 infection as a differential diagnosis to avoid delayed diagnosis or misdiagnosis and lose the chance to treat and prevent further transmission.
Abstract: Importance The outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China, is serious and has the potential to become an epidemic worldwide. Several studies have described typical clinical manifestations including fever, cough, diarrhea, and fatigue. However, to our knowledge, it has not been reported that patients with COVID-19 had any neurologic manifestations. Objective To study the neurologic manifestations of patients with COVID-19. Design, Setting, and Participants This is a retrospective, observational case series. Data were collected from January 16, 2020, to February 19, 2020, at 3 designated special care centers for COVID-19 (Main District, West Branch, and Tumor Center) of the Union Hospital of Huazhong University of Science and Technology in Wuhan, China. The study included 214 consecutive hospitalized patients with laboratory-confirmed diagnosis of severe acute respiratory syndrome coronavirus 2 infection. Main Outcomes and Measures Clinical data were extracted from electronic medical records, and data of all neurologic symptoms were checked by 2 trained neurologists. Neurologic manifestations fell into 3 categories: central nervous system manifestations (dizziness, headache, impaired consciousness, acute cerebrovascular disease, ataxia, and seizure), peripheral nervous system manifestations (taste impairment, smell impairment, vision impairment, and nerve pain), and skeletal muscular injury manifestations. Results Of 214 patients (mean [SD] age, 52.7 [15.5] years; 87 men [40.7%]) with COVID-19, 126 patients (58.9%) had nonsevere infection and 88 patients (41.1%) had severe infection according to their respiratory status. Overall, 78 patients (36.4%) had neurologic manifestations. Compared with patients with nonsevere infection, patients with severe infection were older, had more underlying disorders, especially hypertension, and showed fewer typical symptoms of COVID-19, such as fever and cough. Patients with more severe infection had neurologic manifestations, such as acute cerebrovascular diseases (5 [5.7%] vs 1 [0.8%]), impaired consciousness (13 [14.8%] vs 3 [2.4%]), and skeletal muscle injury (17 [19.3%] vs 6 [4.8%]). Conclusions and Relevance Patients with COVID-19 commonly have neurologic manifestations. During the epidemic period of COVID-19, when seeing patients with neurologic manifestations, clinicians should suspect severe acute respiratory syndrome coronavirus 2 infection as a differential diagnosis to avoid delayed diagnosis or misdiagnosis and lose the chance to treat and prevent further transmission.
5,153 citations
Tao Ai1, Zhenlu Yang, Hongyan Hou2, Chenao Zhan1, Chong Chen1, Wen-Zhi Lv1, Qian Tao1, Ziyong Sun1, Liming Xia1 •
TL;DR: Chest CT has a high sensitivity for diagnosis of CO VID-19 and may be considered as a primary tool for the current COVID-19 detection in epidemic areas, as well as for patients with multiple RT-PCR assays.
Abstract: Chest CT had higher sensitivity for diagnosis of COVID-19 as compared with initial reverse-transcription polymerase chain reaction from swab samples in the epidemic area of China.
4,717 citations
Giacomo Grasselli1, Giacomo Grasselli2, Alberto Zangrillo3, Alberto Zanella1, Alberto Zanella2, Massimo Antonelli4, Massimo Antonelli5, Luca Cabrini6, Antonio Castelli2, Danilo Cereda, Antonio Coluccello, Giuseppe Foti7, Roberto Fumagalli7, Giorgio Antonio Iotti8, Nicola Latronico9, Luca Lorini, Stefano Merler10, Giuseppe Natalini, Alessandra Piatti6, Marco Ranieri11, Anna Mara Scandroglio, Enrico Storti, Maurizio Cecconi12, Antonio Pesenti2, Antonio Pesenti1 •
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico1, University of Milan2, Vita-Salute San Raffaele University3, Catholic University of the Sacred Heart4, Agostino Gemelli University Polyclinic5, Ospedale di Circolo e Fondazione Macchi6, University of Milano-Bicocca7, University of Pavia8, University of Brescia9, Kessler Foundation10, University of Bologna11, Humanitas University12
TL;DR: Patients with coronavirus disease 2019 (COVID-19) requiring treatment in an intensive care unit (ICU) in the Lombardy region of Italy were characterized, including data on clinical management, respiratory failure, and patient mortality.
Abstract: Importance In December 2019, a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) emerged in China and has spread globally, creating a pandemic. Information about the clinical characteristics of infected patients who require intensive care is limited. Objective To characterize patients with coronavirus disease 2019 (COVID-19) requiring treatment in an intensive care unit (ICU) in the Lombardy region of Italy. Design, Setting, and Participants Retrospective case series of 1591 consecutive patients with laboratory-confirmed COVID-19 referred for ICU admission to the coordinator center (Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy) of the COVID-19 Lombardy ICU Network and treated at one of the ICUs of the 72 hospitals in this network between February 20 and March 18, 2020. Date of final follow-up was March 25, 2020. Exposures SARS-CoV-2 infection confirmed by real-time reverse transcriptase–polymerase chain reaction (RT-PCR) assay of nasal and pharyngeal swabs. Main Outcomes and Measures Demographic and clinical data were collected, including data on clinical management, respiratory failure, and patient mortality. Data were recorded by the coordinator center on an electronic worksheet during telephone calls by the staff of the COVID-19 Lombardy ICU Network. Results Of the 1591 patients included in the study, the median (IQR) age was 63 (56-70) years and 1304 (82%) were male. Of the 1043 patients with available data, 709 (68%) had at least 1 comorbidity and 509 (49%) had hypertension. Among 1300 patients with available respiratory support data, 1287 (99% [95% CI, 98%-99%]) needed respiratory support, including 1150 (88% [95% CI, 87%-90%]) who received mechanical ventilation and 137 (11% [95% CI, 9%-12%]) who received noninvasive ventilation. The median positive end-expiratory pressure (PEEP) was 14 (IQR, 12-16) cm H2O, and Fio2was greater than 50% in 89% of patients. The median Pao2/Fio2was 160 (IQR, 114-220). The median PEEP level was not different between younger patients (n = 503 aged ≤63 years) and older patients (n = 514 aged ≥64 years) (14 [IQR, 12-15] vs 14 [IQR, 12-16] cm H2O, respectively; median difference, 0 [95% CI, 0-0];P = .94). Median Fio2was lower in younger patients: 60% (IQR, 50%-80%) vs 70% (IQR, 50%-80%) (median difference, −10% [95% CI, −14% to 6%];P = .006), and median Pao2/Fio2was higher in younger patients: 163.5 (IQR, 120-230) vs 156 (IQR, 110-205) (median difference, 7 [95% CI, −8 to 22];P = .02). Patients with hypertension (n = 509) were older than those without hypertension (n = 526) (median [IQR] age, 66 years [60-72] vs 62 years [54-68];P Conclusions and Relevance In this case series of critically ill patients with laboratory-confirmed COVID-19 admitted to ICUs in Lombardy, Italy, the majority were older men, a large proportion required mechanical ventilation and high levels of PEEP, and ICU mortality was 26%.
4,331 citations
Elizabeth A. Williamson1, Alex J Walker2, Krishnan Bhaskaran1, Seb Bacon2, Chris Bates, Caroline E Morton2, Helen J Curtis2, Amir Mehrkar2, David M. Evans2, Peter Inglesby2, Jonathan Cockburn, Helen Mcdonald1, Brian MacKenna2, Laurie A. Tomlinson1, Ian J. Douglas1, Christopher T Rentsch1, Rohini Mathur1, Angel Y S Wong1, Richard Grieve1, David G. Harrison, Harriet Forbes1, Anna Schultze1, Richard Croker2, John Parry, Frank Hester, Sam Harper, Rafael Perera2, Stephen J. W. Evans1, Liam Smeeth1, Ben Goldacre2 •
TL;DR: A range of clinical factors associated with COVID-19-related death is quantified in one of the largest cohort studies on this topic so far and includes people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors.
Abstract: Coronavirus disease 2019 (COVID-19) has rapidly affected mortality worldwide1. There is unprecedented urgency to understand who is most at risk of severe outcomes, and this requires new approaches for the timely analysis of large datasets. Working on behalf of NHS England, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in England and holds patient data within the existing data centre of a major vendor of primary care electronic health records. Here we used OpenSAFELY to examine factors associated with COVID-19-related death. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59 (95% confidence interval 1.53-1.65)); greater age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people of white ethnicity, Black and South Asian people were at higher risk, even after adjustment for other factors (HR 1.48 (1.29-1.69) and 1.45 (1.32-1.58), respectively). We have quantified a range of clinical factors associated with COVID-19-related death in one of the largest cohort studies on this topic so far. More patient records are rapidly being added to OpenSAFELY, we will update and extend our results regularly.
4,263 citations
TL;DR: The findings reinforce the recommendation to strictly apply pharmacological thrombosis prophylaxis in all COVID-19 patients admitted to the ICU, and are strongly suggestive of increasing the prophYLaxis towards high-prophylactic doses, even in the absence of randomized evidence.
3,886 citations
Cites background from "Clinical Characteristics of Coronav..."
...4 COVID-19 may predispose to both venous and arterial thromboembolic disease due to excessive inflammation, hypoxia, immobilisation and diffuse intravascular coagulation (DIC).(1-4) Remarkably, thrombotic complications have hardly been described....
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...Remarkably, thrombotic complications have hardly been described.(1-4) Precise knowledge of the incidence of thrombotic complications in COVID-19 patients is important for decision making with regard to intensity of thromboprophylaxis, especially in patients admitted to the intensive care unit (ICU) who are at highest thrombotic risk....
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...Despite systematic thrombosis prophylaxis, the 31% incidence of thrombotic complications in ICU patients with COVID-19 infections is remarkably high and well comparable to the VTE incidence in other patient categories with overt DIC [5]....
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...Notably, none of our patients actually developed DIC....
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...COVID-19 may predispose to both venous and arterial thromboembolic disease due to excessive inflammation, hypoxia, immobilisation and diffuse intravascular coagulation (DIC) [1–4]....
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TL;DR: It is inferred that epidemics are already growing exponentially in multiple major cities of China with a lag time behind the Wuhan outbreak of about 1–2 weeks, and that other major Chinese cities are probably sustaining localised outbreaks.
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