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Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study.

TLDR
The authors in this article found that individuals discharged from hospital after acute covid-19 had increased rates of multiorgan dysfunction compared with the expected risk in the general population, and the increase in risk was not confined to the elderly and was not uniform across ethnicities.
Abstract
Objective To quantify rates of organ specific dysfunction in individuals with covid-19 after discharge from hospital compared with a matched control group from the general population. Design Retrospective cohort study. Setting NHS hospitals in England. Participants 47 780 individuals (mean age 65, 55% men) in hospital with covid-19 and discharged alive by 31 August 2020, exactly matched to controls from a pool of about 50 million people in England for personal and clinical characteristics from 10 years of electronic health records. Main outcome measures Rates of hospital readmission (or any admission for controls), all cause mortality, and diagnoses of respiratory, cardiovascular, metabolic, kidney, and liver diseases until 30 September 2020. Variations in rate ratios by age, sex, and ethnicity. Results Over a mean follow-up of 140 days, nearly a third of individuals who were discharged from hospital after acute covid-19 were readmitted (14 060 of 47 780) and more than 1 in 10 (5875) died after discharge, with these events occurring at rates four and eight times greater, respectively, than in the matched control group. Rates of respiratory disease (P Conclusions Individuals discharged from hospital after covid-19 had increased rates of multiorgan dysfunction compared with the expected risk in the general population. The increase in risk was not confined to the elderly and was not uniform across ethnicities. The diagnosis, treatment, and prevention of post-covid syndrome requires integrated rather than organ or disease specific approaches, and urgent research is needed to establish the risk factors.

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Journal ArticleDOI

Long-term cardiovascular outcomes of COVID-19

TL;DR: In this paper , the authors used national healthcare databases from the US Department of Veterans Affairs to build a cohort of 153,760 individuals with COVID-19, as well as two sets of control cohorts with 5,637,647 (contemporary controls) and 5,859,411 (historical controls) individuals, to estimate risks and 1-year burdens of a set of pre-specified incident cardiovascular outcomes.
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Long COVID or post-COVID-19 syndrome: putative pathophysiology, risk factors, and treatments.

TL;DR: In this paper, a review of the literature on long COVID-19 syndrome is presented, which is driven by long-term tissue damage (e.g. lung, brain, and heart) and pathological inflammation (i.e. from viral persistence, immune dysregulation, and autoimmunity).
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Long COVID after breakthrough SARS-CoV-2 infection

TL;DR: In this article , the authors used the US Department of Veterans Affairs national healthcare databases to build a cohort of 33,940 individuals with BTI and several controls of people without evidence of SARS-CoV-2 infection.
Journal ArticleDOI

Global Prevalence of Post COVID-19 Condition or Long COVID: A Meta-Analysis and Systematic Review

TL;DR: This study finds post CO VID-19 condition prevalence is substantial; the health effects of COVID-19 appear to be prolonged and can exert stress on the healthcare system.
References
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Journal ArticleDOI

Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

TL;DR: Methods to determine the sampling distribution of the standardized difference when the true standardized difference is equal to zero are described, thereby allowing one to determined the range of standardized differences that are plausible with the propensity score model having been correctly specified.
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Causal Inference without Balance Checking: Coarsened Exact Matching

TL;DR: It is shown that CEM possesses a wide range of statistical properties not available in most other matching methods but is at the same time exceptionally easy to comprehend and use.
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Outcomes of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered From Coronavirus Disease 2019 (COVID-19).

TL;DR: Cardiac magnetic resonance imaging revealed cardiac involvement and ongoing myocardial inflammation in patients with recent coronavirus disease 2019, which was independent of preexisting conditions, severity and overall course of the acute illness, and the time from the original diagnosis.
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Management of post-acute covid-19 in primary care.

TL;DR: The patient who has a delayed recovery from an episode of covid-19 that was managed in the community or in a standard hospital ward is referred to, which can be divided into those who may have serious sequelae and those with a non-specific clinical picture, often dominated by fatigue and breathlessness.
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