2021
DOI: 10.1136/bmjgh-2021-006434
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The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis

Abstract: IntroductionIncreased 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.MethodsThis review was based on an umbre… Show more

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Cited by 216 publications
(197 citation statements)
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References 88 publications
(60 reference statements)
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“…The effect of age on mortality of patients hospitalized with COVID-19 with or without association with comorbidities or medical conditions remain unclear. 14 Zeiser et al. reported that in-hospital mortality subsequently increased in sub-groups of patients aged ≥60 years in a retrospective analysis of a nationwide Brazilian database.…”
Section: Discussionmentioning
confidence: 99%
“…The effect of age on mortality of patients hospitalized with COVID-19 with or without association with comorbidities or medical conditions remain unclear. 14 Zeiser et al. reported that in-hospital mortality subsequently increased in sub-groups of patients aged ≥60 years in a retrospective analysis of a nationwide Brazilian database.…”
Section: Discussionmentioning
confidence: 99%
“…Several strengths of our meta-analysis increase our confidence in our findings. The inclusion of only age/gender adjusted cohort study data allowed us to control for the primary factor associated with adverse outcomes, which is the patient’s age, hence allowing us to assess the independent effect of each prognostic factor (106). Moreover, we performed separate analyses by clinical setting that allowed us to both quantify the incidence of adverse outcomes, as separate endpoints, which may assist in managing patient flows and triaging.…”
Section: Discussionmentioning
confidence: 99%
“…To account for the role of age in determining testing practices and influencing the probability of transmission, we adjusted for the percentage of people aged 65 years or older in the BHZ. During the first wave, testing was only available for hospitalized patients, and, as hospitalization increases with age ( Romero Starke et al, 2021 ), this could mean that, during the first wave (but not after that), the probability of getting tested was higher in older people. Second, to describe the time trends of inequities by deprivation in COVID-19 confirmed cases, we fitted the same type of models by month.…”
Section: Methodsmentioning
confidence: 99%