Prevalence and clinical features of 2019 novel coronavirus disease (COVID-19) in the Fever Clinic of a teaching hospital in Beijing: a single-center, retrospective study

Liang, Ying; Jing-jin, Liang; Zhou, Qingtao; Li, Xiaoguang; Lin, Fei; Deng, Zhonghua; Zhang, Biying; Lu, Li; Wang, Xiaohua; Zhu, Hong; Ma, Qingbian; Tong, Xiaomei; Xu, Jie; Sun, Yongchang

doi:10.1101/2020.02.25.20027763

Cited by 28 publications

(23 citation statements)

References 17 publications

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“…In the first analysis however, despite a trend of lowered lymphocyte count in COVID-19 cases, no statistical significance was observed between the two groups. The possible reason for the insignificant difference between the pooled studies of both groups is that two studies 19,21 included in the analysis showed higher tendency of lymphopenia to occur in the non-COVID group. However, in the second analysis lymphocyte counts were found significantly lower in the severe group, which is in line with previous reports which observed progressive lymphopenia 41 as a strong indicator of disease severity.…”

Section: Discussionmentioning

confidence: 93%

“…Relative to non-COVID-19 infections, significantly lower absolute leukocyte or neutrophil counts during early stages of the disease has been broadly demonstrated, 15,18,21 although the mean leukocyte count of the included studies often do not exceed the lower limit for categorisation as leukopenia or neutropenia. Interestingly, with COVID-19 disease progression, we found that both leukocyte and neutrophil counts were significantly higher in the severe groups in line with previous retrospective studies, 41 and other meta-analysis.…”

Section: Discussionmentioning

confidence: 95%

“…1). [15][16][17][18][19][20][21] The characteristics of included studies are shown in Supplemental Table 1. In general, the pooled studies showed high heterogeneity, except for leukocyte and neutrophil values (Table 1).…”

Section: Laboratory Parameters In Covid-19 and Non-covid-19 Casesmentioning

confidence: 99%

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Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis

2020

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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.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 95%

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Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis

2020

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“…These symptoms are identifiable without specific examinations that are directly documented in the patient's medical record. Liang et al [8] mention that for most patients diagnosed with COVID-19, 85.7% had fever, 42.9% had cough, 33.3% had expectoration, 57.1% had fatigue and 38.1% had headache and dizziness. For this reason, one can see that fever is a common symptom.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information

Lucca

Silva

Luchtenberg

et al. 2020

Sensors

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Data on diagnosis of infection in the general population are strategic for different applications in the public and private spheres. Among them, the data related to symptoms and people displacement stand out, mainly considering highly contagious diseases. This data is sensitive and requires data privacy initiatives to enable its large-scale use. The search for population-monitoring strategies aims at social tracking, supporting the surveillance of contagions to respond to the confrontation with COVID-19. There are several data privacy issues in environments where IoT devices are used for monitoring hospital processes. In this research, we compare works related to the subject of privacy in the health area. To this end, this research proposes a taxonomy to support the requirements necessary to control patient data privacy in a hospital environment. According to the tests and comparisons made between the variables compared, the application obtained results that contribute to the scenarios applied. In this sense, we modeled and implemented an application. By the end, a mobile application was developed to analyze the privacy and security constraints with COVID-19.

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“…On January 19, 2020, two cases in Beijing and one case in Guangdong Province were reported, and subsequently more cases were reported elsewhere. 3 This is a viral respiratory infection, SARS-CoV-2 or COVID-19 can be transmitted through the respiratory tract. It mainly causes respiratory tract infections and develops severe pneumonia in infected patients.…”

Section: Introductionmentioning

confidence: 99%

Demographic Characteristics of COVID-19 Patients in District Gujrat

Gondal¹,

Mumtaz²,

Mughal³

et al. 2020

JRMC

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Objective: To determine the prevalence of Covid-19 in the district of Gujrat, its association with gender, age, its correlation with respiratory and cardiac symptoms and to find the link of this disease with travel history of patients to affected areas. Methodology: A total of 222 COVID-19 -Positive patients (Male and Female) out of 514 clinically suspected cases (fever, cough, dyspnoea, lethargy & anosmia) as per WHO guidelines were selected. The use of the data for research purposes was explained to patients, and informed consent was taken. The study was approved by the ethical committee of Aziz Bhatti Shaheed Hospital. Samples were extracted from nasopharyngeal swabs using standard extraction protocol. Statistical tools used was SPSS Version 24. Chi-square test and correlation of age with respiratory and cardiac symptoms was calculated. Results: Male gender was significantly affected by this disease (P=0.001) as compared to the female gender. Regarding the prevalence of respiratory symptoms, 31(14%) were asymptomatic. 37(16.7%) had Dyspnea, 45 (65.3%) cough (P= 0.001). Nine (4.1%) developed pneumonia. Fever and Cough was the most common symptom in the age group 21-40 yrs(P=0.001). While pneumonia developed in the older age group. The cardiac symptoms appeared in young age group (p=0.000) in the age group 21-40 yrs (70.9% n=78).38 patients (17.2%) had the symptom of chest pain, 24(10.9%) tachycardia and 1(0.5%) developed arrhythmia. Out of 222 COVID positive patients, 67.1% (149) gave a history of direct contact with positive patients, 19.8% (n=44) gave travel history,4.5% (n=10) had a history of going to Raiwind Ijtamah and 8.6% (n=19) were zaireen/pilgrims from Taftan. Conclusion: The COVID -19 is comparatively more common in male patients. 50% of the patients were of age group 21-40 years showing the symptoms of fever and cough along with mild cardiac symptoms. Acute pneumonia developed in older age groups while cardiac symptoms were significant in young age. In Gujrat District, the majority of the patients (67.1%) developed Covid-19 due to travelling.

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Prevalence and clinical features of 2019 novel coronavirus disease (COVID-19) in the Fever Clinic of a teaching hospital in Beijing: a single-center, retrospective study

Cited by 28 publications

References 17 publications

Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis

Crucial laboratory parameters in COVID-19 diagnosis and prognosis: An updated meta-analysis

A Case Study on the Development of a Data Privacy Management Solution Based on Patient Information

Demographic Characteristics of COVID-19 Patients in District Gujrat

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