scholarly journals Clinical characteristics, laboratory abnormalities and CT findings of COVID-19 patients and risk factors of severe disease: a systematic review and meta-analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 13-13
Author(s):  
Jingyuan Xie ◽  
Qin Wang ◽  
Yangyang Xu ◽  
Tianli Zhang ◽  
Lu Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Clinical Characteristics ◽  
Meta Analysis ◽  
Severe Disease ◽  
Ct Findings

COVID-19 in Healthcare Workers: A Systematic Review and Meta-Analysis of Prevalence, Risk Factors, Clinical Characteristics, and Outcomes

2020 ◽  
Author(s):  
Sergio Alejandro Gómez-Ochoa ◽  
Oscar H. Franco ◽  
Lyda Z. Rojas ◽  
Sandra Lucrecia Romero Guevara ◽  
Luis Eduardo Echeverría ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Healthcare Workers ◽  
Clinical Characteristics ◽  
Meta Analysis

scholarly journals Epidemiology of COVID‐19: A systematic review and meta‐analysis of clinical characteristics, risk factors, and outcomes

2020 ◽  
Author(s):  
Jie Li ◽  
Daniel Q. Huang ◽  
Biyao Zou ◽  
Hongli Yang ◽  
Wan Zi Hui ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Clinical Characteristics ◽  
Meta Analysis

scholarly journals Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247461 ◽  
Author(s):  
Adam Booth ◽  
Angus Bruno Reed ◽  
Sonia Ponzo ◽  
Arrash Yassaee ◽  
Mert Aral ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Meta Analysis ◽  
Severe Disease ◽  
Relevant Literature ◽  
Patient Characteristics ◽  
Elevated Risk ◽  
Adverse Outcomes ◽  
Severe Illness ◽  
Increased Risk

Aim COVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe cases. While there are a number of early publications relating to risk factors for COVID-19 infection, low sample size and heterogeneity in study design impacted consolidation of early findings. There is a pressing need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and widespread risk stratification, these factors should be easily obtainable, inexpensive, and avoid invasive clinical procedures. The aim of our study is to fill this knowledge gap by systematically mapping all the available evidence on the association of various clinical, demographic, and lifestyle variables with the risk of specific adverse outcomes in patients with COVID-19. Methods The systematic review was conducted using standardized methodology, searching two electronic databases (PubMed and SCOPUS) for relevant literature published between 1st January 2020 and 9th July 2020. Included studies reported characteristics of patients with COVID-19 while reporting outcomes relating to disease severity. In the case of sufficient comparable data, meta-analyses were conducted to estimate risk of each variable. Results Seventy-six studies were identified, with a total of 17,860,001 patients across 14 countries. The studies were highly heterogeneous in terms of the sample under study, outcomes, and risk measures reported. A large number of risk factors were presented for COVID-19. Commonly reported variables for adverse outcome from COVID-19 comprised patient characteristics, including age >75 (OR: 2.65, 95% CI: 1.81–3.90), male sex (OR: 2.05, 95% CI: 1.39–3.04) and severe obesity (OR: 2.57, 95% CI: 1.31–5.05). Active cancer (OR: 1.46, 95% CI: 1.04–2.04) was associated with increased risk of severe outcome. A number of common symptoms and vital measures (respiratory rate and SpO2) also suggested elevated risk profiles. Conclusions Based on the findings of this study, a range of easily assessed parameters are valuable to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient characteristics and detailed comorbidities, alongside the novel inclusion of real-time symptoms and vital measurements.

scholarly journals Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

2020 ◽  
Author(s):  
Adam Booth ◽  
Angus Bruno Reed ◽  
Sonia Ponzo ◽  
Arrash Yassaee ◽  
Mert Aral ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Meta Analysis ◽  
Severe Disease ◽  
Relevant Literature ◽  
Patient Characteristics ◽  
Elevated Risk ◽  
Adverse Outcomes ◽  
Severe Illness ◽  
Increased Risk

AbstractAimCOVID-19 clinical presentation is heterogeneous, ranging from asymptomatic to severe cases. While there are a number of early publications relating to risk factors for COVID-19 infection, low sample size and heterogeneity in study design impacted consolidation of early findings. There is a pressing need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and widespread risk stratification, these factors should be easily obtainable, inexpensive, and avoid invasive clinical procedures. The aim of our study is to fill this knowledge gap by systematically mapping all the available evidence on the association of various clinical, demographic, and lifestyle variables with the risk of specific adverse outcomes in patients with COVID-19.MethodsThe systematic review was conducted using standardized methodology, searching three electronic databases (PubMed, Embase, and Web of Science) for relevant literature published between 1st January 2020 and 9th July 2020. Included studies reported characteristics of patients with COVID-19 while reporting outcomes relating to disease severity. In the case of sufficient comparable data, meta-analyses were conducted to estimate risk of each variable.ResultsSeventy-six studies were identified, with a total of 17,860,001 patients across 14 countries. The studies were highly heterogeneous in terms of the sample under study, outcomes, and risk measures reported. A large number of risk factors were presented for COVID-19. Commonly reported variables for adverse outcome from COVID-19 comprised patient characteristics, including age >75 (OR = 2.65 (1.81–3.90)), male sex (OR = 2.05(1.39–3.04)) and severe obesity (OR = 2.57 (1.31–5.05)). Active cancer (OR = 1.46 (1.04–2.04)) was associated with increased risk of severe outcome. A number of common symptoms and vital measures (respiratory rate and SpO2) also suggested elevated risk profiles.ConclusionsBased on the findings of this study, a range of easily assessed parameters are valuable to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient characteristics and detailed comorbidities, alongside the novel inclusion of real-time symptoms and vital measurements.

Sign in / Sign up

Export Citation Format

Share Document