ArticleEpidemiology and infection2020
Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration.
Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Gastroenterology manifestations and COVID-19 outcomes: A meta-analysis of 25,252 cohorts among the first and second waves.Journal of medical virology · 2021Pooled it
- Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- Analysis of Vocal Signatures of COVID-19 in Cough Sounds: A Newer Diagnostic Approach Using Artificial Intelligence.Cureus · 2024Article
- Article
- Staging of COVID-19 disease; using selected laboratory profiles for prediction, prevention and management of severe SARS-CoV-2 infection in Africa-review.African health sciences · 2023Review
- Artificial Intelligence-Assisted Chest X-ray for the Diagnosis of COVID-19: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2023Review
- A Model for Predicting the Duration of Viral Shedding in Patients Who Had Been Hospitalized with Mild COVID-19: A Single-Center Retrospective Study.Infection and drug resistance · 2023Article
- Duration of SARS-CoV-2 RNA positivity from various specimens and clinical characteristics in patients with COVID-19: a systematic review and meta-analysis.Inflammation and regeneration · 2022Review
- The correlation between viral shedding duration and blood biomarkers in COVID-19-infected patients.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022Article
- Neurologic complications of coronavirus and other respiratory viral infections.Handbook of clinical neurology · 2022Review
- Low-dose tocilizumab is associated with improved outcome and a low risk of secondary infection in severe COVID-19 pneumonia.International journal of clinical practice · 2021Article
- A single-center experience in use of tocilizumab in COVID-19 pneumonia in India.Medical journal, Armed Forces India · 2021Article
- Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients.International journal of environmental research and public health · 2021Article
- The association of diabetes with COVID-19 disease severity: evidence from adjusted effect estimates.Hormones (Athens, Greece) · 2021Article
- Clinical outcomes of patients hospitalized for COVID-19 and evidence-based on the pharmacological management reduce mortality in a region of the Colombian Caribbean.Journal of infection and public health · 2021Observational
- Understanding viral shedding of severe acute respiratory coronavirus virus 2 (SARS-CoV-2): Review of current literature.Infection control and hospital epidemiology · 2021Review
- Understanding the outcomes of COVID-19 - does the current model of an acute respiratory infection really fit?The Journal of general virology · 2021Article
- The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review.SAGE open medicine · 2021Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical characteristics of patients with COVID-19 were analysed to determine the factors influencing the prognosis and virus shedding time to facilitate early detection of disease progression. Logistic regression analysis was used to explore the relationships among prognosis, clinical characteristics and laboratory indexes. The predictive value of this model was assessed with receiver operating characteristic curve analysis, calibration and internal validation. The viral shedding duration was calculated using the Kaplan-Meier method, and the prognostic factors were analysed by univariate log-rank analysis and the Cox proportional hazards model. A retrospective study was carried out with patients with COVID-19 in Tianjin, China. A total of 185 patients were included, 27 (14.59%) of whom were severely ill at the time of discharge and three (1.6%) of whom died. Our findings demonstrate that patients with an advanced age, diabetes, a low PaO2/FiO2 value and delayed treatment should be carefully monitored for disease progression to reduce the incidence of severe disease. Hypoproteinaemia and the fever duration warrant special attention. Timely interventions in symptomatic patients and a time from symptom onset to treatment <4 days can shorten the duration of viral shedding.
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