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      Association of pre-pandemic high-density lipoprotein cholesterol with risk of COVID-19 hospitalisation and death: the UK Biobank cohort study

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      research-article
      , PhD, , PhD, , PharmD, PhD, , PhD, , PhD, DSc
      medRxiv
      Cold Spring Harbor Laboratory

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          Abstract

          Objective:

          There is growing evidence of, and biological plausibility for, elevated levels of high-density lipoprotein cholesterol (HDL-C), being related to lower rates of severe infection. Accordingly, we tested whether pre-pandemic HDL-C within the normal range is associated with subsequent COVID-19 hospitalisations and death.

          Approach:

          We analysed data on 317,306 participants from UK Biobank, a prospective cohort study, baseline data for which were collected between 2006 and 2010. Follow-up for COVID-19 was via hospitalisation records and a national mortality registry.

          Results:

          After controlling for a series of confounding factors which included health behaviours, inflammatory markers, and socio-economic status, higher levels of HDL-C were related to a lower risk of later hospitalisation for COVID-19. The effect was linear (p-value for trend 0.001) such that a 0.2 mmol/L increase in HDL-C was associated with a corresponding 9% reduction in risk (odds ratio; 95% confidence interval: 0.91; 0.86, 0.96). A very similar pattern of association was apparent when COVID-19 mortality was the outcome of interest (odds ratio per 0.2 mmol/l increase in HDL-C: 0.90; 0.81, 1.00); again, a stepwise effect was evident (p-value for trend 0.03).

          Conclusions:

          These novel results for HDL-C and COVID-19 events warrant testing in other studies.

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          Most cited references27

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          Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

          Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days. Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.
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            Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area

            There is limited information describing the presenting characteristics and outcomes of US patients requiring hospitalization for coronavirus disease 2019 (COVID-19).
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              Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China

              Coronavirus disease 2019 (COVID-19) is an emerging infectious disease that was first reported in Wuhan, China, and has subsequently spread worldwide. Risk factors for the clinical outcomes of COVID-19 pneumonia have not yet been well delineated.
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                Author and article information

                Contributors
                Journal
                medRxiv
                MEDRXIV
                medRxiv
                Cold Spring Harbor Laboratory
                09 February 2021
                : 2021.01.20.21250152
                Affiliations
                Hospital del Mar Medical Research Institute, Barcelona, Spain
                Instituto de Salud Carlos III, Madrid, Spain
                Department of Epidemiology and Public Health, University College London, UK
                Division of Surgery and Interventional Sciences, University College London, London, UK
                Hospital del Mar Medical Research Institute, Barcelona, Spain
                Instituto de Salud Carlos III, Madrid, Spain
                August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
                MRC Lifecourse Epidemiology Unit, University of Southampton, UK
                Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK
                Department of Epidemiology and Public Health, University College London, London
                Author notes

                Author contributions: GDB, MH and CL generated the idea for the present analyses; CRG prepared the data set; CL analysed the data; and CL and GDB prepared a draft of the manuscript on which all authors commented.

                Article
                10.1101/2021.01.20.21250152
                7852244
                33532793
                9bf29087-088c-4220-9160-8a8a9468ff0c

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.

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