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  1. Article ; Online: Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis.

    Booth, Adam / Reed, Angus Bruno / Ponzo, Sonia / Yassaee, Arrash / Aral, Mert / Plans, David / Labrique, Alain / Mohan, Diwakar

    PloS one

    2021  Volume 16, Issue 3, Page(s) e0247461

    Abstract: ... to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient ... with the risk of specific adverse outcomes in patients with COVID-19.: Methods: The systematic review was ... need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and ...

    Abstract 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.
    MeSH term(s) Age Factors ; COVID-19/epidemiology ; COVID-19/mortality ; Comorbidity ; Female ; Humans ; Male ; Neoplasms/epidemiology ; Obesity/epidemiology ; Risk Factors ; SARS-CoV-2/isolation & purification ; Severity of Illness Index ; Sex Factors
    Language English
    Publishing date 2021-03-04
    Publishing country United States
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0247461
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

    Booth, Adam / Reed, Angus Bruno / Ponzo, Sonia / Yassaee, Arrash / Aral, Mert / Plans, David / Labrique, Alain / Mohan, Diwakar

    medRxiv

    Abstract: ... widespread risk stratification, these factors should be easily obtainable, inexpensive, and avoid invasive ... 04−2.04)) was associated with increased risk of severe outcome. A number of common symptoms and vital ... of severe illness and mortality as a result of COVID−19, including patient characteristics and detailed ...

    Abstract 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 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. 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 (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. 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.
    Keywords covid19
    Language English
    Publishing date 2020-12-22
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.12.21.20248610
    Database COVID19

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  3. Article ; Online: Population risk factors for severe disease and mortality in COVID-19

    Adam Booth / Angus Bruno Reed / Sonia Ponzo / Arrash Yassaee / Mert Aral / David Plans / Alain Labrique / Diwakar Mohan

    PLoS ONE, Vol 16, Iss 3, p e

    A global systematic review and meta-analysis.

    2021  Volume 0247461

    Abstract: ... with the risk of specific adverse outcomes in patients with COVID-19. Methods The systematic review was ... need to identify the factors which predispose patients to severe cases of COVID-19. For rapid and ... While there are a number of early publications relating to risk factors for COVID-19 infection, low ...

    Abstract 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 ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  4. Article: Social determinants of the disproportionately higher rates of COVID-19 infection among African Caribbean and Black (ACB) population: A systematic review protocol.

    Etowa, Josephine / Demeke, Jemal / Abrha, Getachew / Worku, Fiqir / Ajiboye, Wale / Beauchamp, Sheryl / Taiwo, Itunu / Pascal, Djiadeu / Ghose, Bishwajit

    Journal of public health research

    2021  Volume 11, Issue 2

    Abstract: ... including COVID-19 infection incidence, severity of disease, hospitalization, mortality and barriers ... through a systematic review (SR) of COVID-19 literature covering the period between December 2019 and October 2020 ... to October 2020. Primary outcomes will include the rate of COVID-19 infection. The systematic review ...

    Abstract The challenges of identifying and eliminating racial disparities regarding the exposure, transmission, prevention, and treatment of communicable diseases within the healthcare system have been a mounting concern since the COVID-19 pandemic began. The African, Caribbean, and Black (ACB) populations in Canada represent a fast-expanding and underprivileged community, which have been previously found to have higher susceptibility to communicable diseases and lower sensitivity to intervention measures. Currently, there is insufficient evidence to adequately identify racial patterns in the prevalence and healthcare utilization among the ACB population within the context of the ongoing pandemic. Our proposed study will explore the association between the social determinants of health (SDH) and COVID-19 health outcomes in ACB populations in high-income countries (UK, US, Australia). We will explore the literary evidence through a systematic review (SR) of COVID-19 literature covering the period between December 2019 and October 2020. The objectives include investigating the effect of SDH on the ACB populations' risk to COVID-19 health outcomes, including COVID-19 infection incidence, severity of disease, hospitalization, mortality and barriers to the treatment and management of COVID-19 for Black people in Canada. In addition, this project aims to investigate the effect of COVID-19 on ACB communities in Ontario by examining the challenges that front-line healthcare workers and administrators have during this pandemic as it pertains to service provisions to ACB communities. A systematic review of original and review studies will be conducted based on the publications on eleven databases (MEDLINE, Web of Science, Cochrane Library, CINAHL, NHS EDD, Global Health, PsychInfo, PubMed, Scopus, Proquest, and Taylor and Francis Online Journals) published between December 2019 to October 2020. Primary outcomes will include the rate of COVID-19 infection. The systematic review will include a meta-analysis of available quantitative data, as well as a narrative synthesis of qualitative studies. This systematic review will be among the first to report racial disparities in COVID-19 infection among the ACB population in Canada. Through synthesizing population data regarding the risk factors on various levels, the findings from this systematic review will provide recommendations for future research and evidence for clinical practitioners and social workers. Overall, a better understanding of the nature and consequences of racial disparities during the pandemic will provide policy directions for effective interventions and resilience-building in the post-pandemic era.
    Language English
    Publishing date 2021-12-30
    Publishing country Italy
    Document type Journal Article
    ISSN 2279-9028
    ISSN 2279-9028
    DOI 10.4081/jphr.2021.2274
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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