Characteristics of COVID-19 Infection In Beijing

Tian, Sijia; Hu, Nan; Lou, Jing; Chen, Kun; Kang, Xuqin; Xiang, Zhenjun; Chen, Hui; Wang, Dali; Liu, Ning; Liu, Dong; Chen, Gang; Zhang, Yongliang; Li, Dou; Li, Jianren; Lian, Huixin; Niu, Shaohua; Zhang, Luxi; Zhang, Jinjun

doi:10.2139/ssrn.3541134

Cited by 210 publications

(274 citation statements)

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“…However, the common abnormalities in blood tests was never described before [2][3][4]. Also, it is notable that there is a considerable proportion of asymptomatic carriers among our study population (21.7%), which was much higher than the rate reported previously (5%) [5]. This may due to a high screening rate for individuals with exposure history in Ganzi area.…”

Section: Discussioncontrasting

confidence: 55%

A considerable proportion of individuals with asymptomatic SARS-CoV-2 infection in Tibetan population

Song

Xiao

Qiu

et al. 2020

Preprint

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medRxiv preprintSevere acute respiratory syndrome coronavirus 2 (SARS-Cov-2) quickly became a major epidemic threat in the whole China. We analysed SARS-Cov-2 infected cases from Tibetan Autonomous Prefecture, and noted divergent characteristics of these Tibetans infected cases compared to Han Chinese, characterizing by a considerable proportion of asymptomatic carriers (21.7%), and few symptomatic patients with initial symptom of fever (7.7%). Here, we did a descriptive study on clinical characteristics of 18 asymptomatic individuals with SARS-CoV-2 infection. The median age of these asymptomatic carriers was 31 years and one third of them were students, aged under 20 years. Notably, some of asymptomatic carriers had recognizable changes in radiological and laboratory indexes. Our finding indicates a potentially big number of SARS-CoV-2 asymptomatic carriers in prevalent area, highlighting a necessity of screening individuals with close contact of infected patients, for a better control on the spread of SARS-CoV-2 infection.

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Section: Discussioncontrasting

confidence: 55%

A considerable proportion of individuals with asymptomatic SARS-CoV-2 infection in Tibetan population

Song

Xiao

Qiu

et al. 2020

Preprint

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“…To allow comparability between studies for meta-analysis, these were grouped into a single predictor (cardiovascular disease). One study was excluded from the analysis of dyspnoea as a predictor of severity, as dyspnoea was part of the definition for severity used by the authors (13).…”

Section: Predictors and Outcomesmentioning

confidence: 99%

Systematic review and meta-analysis of predictive symptoms and comorbidities for severe COVID-19 infection

Jain

Yuan

2020

Preprint

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Background/introductionCOVID-19, a novel coronavirus outbreak starting in China, is now a rapidly developing public health emergency of international concern. The clinical spectrum of COVID-19 disease is varied, and identifying factors associated with severe disease has been described as an urgent research priority. It has been noted that elderly patients with pre-existing comorbidities are more vulnerable to more severe disease. However, the specific symptoms and comorbidities that most strongly predict disease severity are unclear. We performed a systematic review and meta-analysis to identify the symptoms and comorbidities predictive of COVID-19 severity. MethodThis study was prospectively registered on PROSPERO. A literature search was performed in three databases (MEDLINE, EMBASE and Global Health) for studies indexed up to 5 th March 2020. Two reviewers independently screened the literature and both also completed data extraction. Quality appraisal of studies was performed using the STROBE checklist. Random effects meta-analysis was performed for selected symptoms and comorbidities to identify those most associated with severe COVID-19 infection or ICU admission. ResultsOf the 2259 studies identified, 42 were selected after title and abstract analysis, and 7 studies (including 1813 COVID-19 patients) were chosen for inclusion. The ICU group were older (62.4 years) compared to the non-ICU group (46 years), with a significantly higher proportion of males (67.2% vs. 57.1%, p=0.04).Dyspnoea was the only significant symptom predictive for both severe disease (pOR 3.70, 95% CI 1.83 -7.46) and ICU admission (pOR 6.55, 95% CI 4.28-10.0). Notwithstanding the low prevalence of COPD in severe disease and ICUadmitted groups (4.5% and 9.7%, respectively), COPD was the most strongly predictive comorbidity for both severe disease (pOR 6.42, 95% CI 2. 44 -16.9) and ICU admission (pOR 17.8, 95% CI 6.56 -48.2). Cardiovascular disease and All rights reserved. No reuse allowed without permission. perpetuity. : medRxiv preprint hypertension were also strongly predictive for both severe disease and ICU admission. Those with CVD and hypertension were 4.4 (95% CI 2.64 -7.47) and 3.7 (95% CI 2.22 -5.99) times more likely to have an ICU admission respectively, compared to patients without the comorbidity. ConclusionsDyspnoea was the only symptom strongly predictive for both severe disease and ICU admission, and could be useful in guiding clinical management decisions early in the course of illness. When looking at ICU-admitted patients, who represent the more severe end of the spectrum of clinical severity, COPD patients are particularly vulnerable, and those with cardiovascular disease and hypertension are also at a high-risk of severe illness. To aid clinical assessment, risk stratification, efficient resource allocation, and targeted public health interventions, future research must aim to further define those at high-risk of severe illness with COVID-19.

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“…Only COT, HFNC, and NIV were used as respiratory support, for a median duration of 10 (5-14), 0 (0-4), and 0 (0-0) days, respectively. As for PR patients, COT, HFNC, NIV, and IV were used for 18 (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24), 0 (0-7), 0 (0-3), and 0 (0-3) days, respectively. Concerning about the NR patients, the median duration for COT, HFNC, NIV and IV were 3 (1-10), 2·5 (0-11), 0 (0-3), and 2 (0-16) days, respectively.…”

Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

“…6 Meanwhile, data from other regions outside Wuhan in China, reported much lower case-fatality rate ranging from zero to 6·5%. [7][8][9][10] In other countries with a relatively low case-fatality rate in all COVID-19 patients, very limited data were reported regarding severe cases. These studies provided valuable data regarding epidemiological, clinical, and biological characteristics, and treatment of the severe COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Critical Care for Severe COVID-19: A Population-based Study from a Province with Low Case-fatality Rate in China

Liao

Chen

Wang

et al. 2020

Preprint

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Background Data regarding critical care for patients with severe COVID-19 are limited. We aimed to describe the clinical course, multi-strategy management, and respiratory support usage for the severe COVID-19 at the provincial level. Methods Using data from Sichuan Provincial Department of Health and the multicentre cohort study, all microbiologically confirmed COVID-19 patients in Sichuan who met the national severe criteria were included and followed-up from the day of inclusion (D1), until discharge, death, or the end of the study. Findings Out of 539 COVID-19 patients, 81 severe cases (15.0%) were identified. The median (IQR) age was 50 (39-65) years, 37% were female, and 53.1% had chronic comorbidities. All severe cases were identified before requiring mechanical ventilation and treated in the intensive care units (ICUs), among whom 51 (63.0%) were treated in provisional ICUs and 77 patients (95.1%) were admitted by D1. On D1, 76 (93.8%) were administered by respiratory support, including 55 (67.9%) by conventional oxygen therapy (COT), 8 (9.9%) by high-flow nasal cannula (HFNC) and 13 (16.0%) by non-invasive ventilation (NIV). By D28, 53 (65.4%) were discharged, three (3.7%) were deceased, and 25 (30.9%) were still hospitalized. COT, administered to 95.1% of the patients, was the most commonly used respiratory support and met 62.7% of the respiratory support needed, followed by HFNC (19.3%), NIV ventilation (9.4%) and IV 8.5%. Interpretation The multi-strategy management for severe COVID-19 patients including early identification and timely critical care may contribute to the low case-fatailty. Preparation of sufficient conventional oxygen equipment should be prioritized.

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Characteristics of COVID-19 Infection In Beijing

Cited by 210 publications

References 0 publications

A considerable proportion of individuals with asymptomatic SARS-CoV-2 infection in Tibetan population

A considerable proportion of individuals with asymptomatic SARS-CoV-2 infection in Tibetan population

Systematic review and meta-analysis of predictive symptoms and comorbidities for severe COVID-19 infection

Critical Care for Severe COVID-19: A Population-based Study from a Province with Low Case-fatality Rate in China

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