Clinical Features of Patients Infected with the 2019 Novel Coronavirus (COVID-19) in Shanghai, China
Cao, M.; Zhang, D.; Wang, Y.; Lu, Y.; Zhu, X.; Li, Y.; Xue, H.; Lin, Y.; Zhang, M.; Sun, Y.; Yang, Z.; Shi, J.; Wang, Y.; Zhou, C.; Dong, Y.; Liu, P.; Dudek, S. M.; Xiao, Z.; Lu, H.; Peng, L.
Show abstract
BackgroundSince mid-December 2019, a cluster of pneumonia-like diseases caused by a novel coronavirus, now designated COVID-19 by the WHO, emerged in Wuhan city and rapidly spread throughout China. Here we identify the clinical characteristics of COVID-19 in a cohort of patients in Shanghai. MethodsCases were confirmed by real-time RT-PCR and were analysed for demographic, clinical, laboratory and radiological features. ResultsOf 198 patients, the median duration from disease onset to hospital admission was 4 days. The mean age of the patients was 50.1 years, and 51.0% patients were male. The most common symptom was fever. Less than half of the patients presented with respiratory systems including cough, sputum production, itchy or sore throat, shortness of breath, and chest congestion. 5.6% patients had diarrhoea. On admission, T lymphocytes were decreased in 45.8% patients. Ground glass opacity was the most common radiological finding on chest computed tomography. 9.6% were admitted to the ICU because of the development of organ dysfunction. Compared with patients not treated in ICU, patients treated in the ICU were older, had longer waiting time to admission, fever over 38.5{degrees} C, dyspnoea, reduced T lymphocytes, elevated neutrophils and organ failure. ConclusionsIn this single centre cohort of COVID-19 patients, the most common symptom was fever, and the most common laboratory abnormality was decreased blood T cell counts. Older age, male, fever over 38.5{degrees}C, symptoms of dyspnoea, and underlying comorbidity, were the risk factors most associated with severity of disease.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China 96%
- Clinical characteristics of Coronavirus Disease 2019 (COVID-19) patients in Kuwait 96%
- Epidemiological, clinical, and laboratory findings for patients of different age groups with confirmed coronavirus disease 2019 (COVID-19) in a hospital in Saudi Arabia 94%
Similar papers in this journal
- The Chest CT Features of Coronavirus Disease 2019 (COVID-19) in China: A Meta-analysis of 19 Trials 92%
- Multicenter performance evaluation of a novel rapid molecular point-of-care test to detect influenza using nasopharyngeal swabs and gargle samples 90%
- Reverse-transcription recombinase-aided amplification assay for H5 subtype avian influenza virus 89%
Similar papers in this journal
- Combination therapy of Tocilizumab and steroid for management of COVID-19 associated cytokine release syndrome: A single center experience from Pune, Western India 93%
- The Impact of Coronavirus Disease 2019 (COVID-19) on Liver Injury in China: A Systematic Review and Meta-analysis 91%
- Seroprevalence of SARS-CoV-2 Antibodies Among 925 Staff Members in an Urban Hospital Accepting COVID-19 Patients in Osaka Prefecture, Japan 90%
Similar papers in this journal
- Clinical findings in critical ill patients infected with SARS-Cov-2 in Guangdong Province, China: a multi-center, retrospective, observational study 95%
- Predictive validity of the simplified Radiographic Assessment of Lung Edema score for the mortality in critically ill COVID-19 patients with the B.1.617.2 (Delta) variant in Vietnam: a single-centre, cross-sectional study 94%
- Comparing COVID-19 and influenza presentation and trajectory 93%
Similar papers in this journal
- Emergence of SARS-CoV-2 Omicron Variant JN.1 in Tamil Nadu, India - Clinical Characteristics and Novel Mutations 93%
- Standard blood laboratory results in SARS-CoV-19 positive patients: do they show a typical pattern? 93%
- Dynamics of neutralizing antibody responses in acute-phase COVID-19: A potential relationship between disease progression and rapid neutralizing antibody response 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.