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      The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis

      systematic-review

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          Abstract

          Introduction

          Increased age has been reported to be a factor for COVID-19 severe outcomes. However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be evidence based. The aim of this review was to quantify the isolated effect of age on hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death.

          Methods

          This review was based on an umbrella review, in which Pubmed, Embase and preprint databases were searched on 10 December 2020, for relevant reviews on COVID-19 disease severity. Two independent reviewers evaluated the primary studies using predefined inclusion and exclusion criteria. The results were extracted, and each study was assessed for risk of bias. The isolated effect of age was estimated by meta-analysis, and the quality of evidence was assessed using Grades of Recommendations, Assessment, Development, and Evaluation framework.

          Results

          Seventy studies met our inclusion criteria (case mortality: n=14, in-hospital mortality: n=44, hospitalisation: n=16, admission to ICU: n=12, mechanical ventilation: n=7). The risk of in-hospital and case mortality increased per age year by 5.7% and 7.4%, respectively (effect size (ES) in-hospital mortality=1.057, 95% CI 1.038 to 1.054; ES case mortality=1.074, 95% CI 1.061 to 1.087), while the risk of hospitalisation increased by 3.4% per age year (ES=1.034, 95% CI 1.021 to 1.048). No increased risk was observed for ICU admission and intubation by age year. There was no evidence of a specific age threshold at which the risk accelerates considerably. The confidence of evidence was high for mortality and hospitalisation.

          Conclusions

          Our results show a best-possible quantification of the increase in COVID-19 disease severity due to age. Rather than implementing age thresholds, prevention programmes should consider the continuous increase in risk. There is a need for continuous, high-quality research and ‘living’ reviews to evaluate the evidence throughout the pandemic, as results may change due to varying circumstances.

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          Most cited references92

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China

            Coronavirus disease 2019 (COVID-19) has resulted in considerable morbidity and mortality worldwide since December 2019. However, information on cardiac injury in patients affected by COVID-19 is limited.
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              GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables.

              This article is the first of a series providing guidance for use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system of rating quality of evidence and grading strength of recommendations in systematic reviews, health technology assessments (HTAs), and clinical practice guidelines addressing alternative management options. The GRADE process begins with asking an explicit question, including specification of all important outcomes. After the evidence is collected and summarized, GRADE provides explicit criteria for rating the quality of evidence that include study design, risk of bias, imprecision, inconsistency, indirectness, and magnitude of effect. Recommendations are characterized as strong or weak (alternative terms conditional or discretionary) according to the quality of the supporting evidence and the balance between desirable and undesirable consequences of the alternative management options. GRADE suggests summarizing evidence in succinct, transparent, and informative summary of findings tables that show the quality of evidence and the magnitude of relative and absolute effects for each important outcome and/or as evidence profiles that provide, in addition, detailed information about the reason for the quality of evidence rating. Subsequent articles in this series will address GRADE's approach to formulating questions, assessing quality of evidence, and developing recommendations. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2021
                16 December 2021
                16 December 2021
                : 6
                : 12
                : e006434
                Affiliations
                [1 ]departmentFaculty of Medicine, Institute and Policlinic for Occupational and Social Medicine , Technische Universität Dresden , Dresden, Germany
                [2 ]departmentInstitute of Sociology, Faculty of Behavioral and Social Sciences , Technische Universität Chemnitz , Chemnitz, Sachsen, Germany
                [3 ]departmentDivision of Occupational Health, Department of Occupational Safety , Regional Government of South Hesse , Wiesbaden, Germany
                [4 ]departmentDepartment of Occupational Medicine, Toxic Substances and Health Research , Institution for Statutory Social Accident Insurance and Prevention in the Health Care and Welfare Services (BGW) , Hamburg, Germany
                [5 ]departmentCompetence Centre for Epidemiology and Health Services Research for Healthcare Professionals (CVcare), Institute for Health Service Research in Dermatology and Nursing (IVDP) , University Medical Center Hamburg-Eppendorf , Hamburg, Hamburg, Germany
                Author notes
                [Correspondence to ] Dr Karla Romero Starke; karla.romero_starke@ 123456tu-dresden.de
                Author information
                http://orcid.org/0000-0002-6614-2381
                Article
                bmjgh-2021-006434
                10.1136/bmjgh-2021-006434
                8678541
                34916273
                5cb68156-0c0e-4b61-a77e-c39b338dc7d7
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 27 May 2021
                : 18 October 2021
                Funding
                Funded by: Statutory Social Accident Insurance and Prevention in the Health Care and Welfare Services (BGW);
                Award ID: NA
                Categories
                Original Research
                1506
                2474
                Custom metadata
                unlocked

                covid-19,epidemiology,systematic review
                covid-19, epidemiology, systematic review

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