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      Chronic respiratory diseases are predictors of severe outcome in COVID-19 hospitalised patients: a nationwide study

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          Abstract

          Background

          Influenza epidemics were initially considered to be a suitable model for the COVID-19 epidemic, but there is a lack of data concerning patients with chronic respiratory diseases (CRD), who were supposed to be at risk of severe forms of COVID-19.

          Methods

          This nationwide retrospective cohort study describes patients with prior lung disease hospitalised for COVID-19 (March-April 2020) or influenza (2018–2019 influenza outbreak). We compare the resulting pulmonary complications, need for intensive care and in-hospital mortality depending on respiratory history and virus.

          Results

          In the 89 530 COVID-19 cases, 16.03% had at least one CRD, which was significantly less frequently than in the 45 819 seasonal influenza patients. Patients suffering from chronic respiratory failure, chronic obstructive pulmonary disease, asthma, cystic fibrosis and pulmonary hypertension were underrepresented, contrary to those with lung cancer, sleep apnea, emphysema, and interstitial pulmonary diseases (ILD). COVID-19 patients with CRD developed significantly more ventilator-associated pneumonia and pulmonary embolism than influenza patients. They needed intensive care significantly more often and had a higher mortality rate (except for asthma) when compared to patients with COVID-19 but without CRD, or patients with influenza.

          Conclusion

          Patients with prior respiratory diseases were globally less likely to be hospitalised for COVID-19 than for influenza but were at higher risk of developing severe COVID-19 and had a higher mortality rate compared to influenza patients and patients without a history of respiratory illness.

          Our data suggest that these patients should have priority access to SARS-CoV2 vaccination.

          Abstract

          There was a higher risk of developing severe COVID-19 and a higher mortality rate among patients with chronic respiratory disease.

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          Most cited references47

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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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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              Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy

              In December 2019, a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) emerged in China and has spread globally, creating a pandemic. Information about the clinical characteristics of infected patients who require intensive care is limited.
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                Author and article information

                Journal
                Eur Respir J
                Eur Respir J
                ERJ
                erj
                The European Respiratory Journal
                European Respiratory Society
                0903-1936
                1399-3003
                20 May 2021
                20 May 2021
                : 2004474
                Affiliations
                [1 ]Reference Constitutive Center for Rare Lung Diseases, Department of Pulmonary Medicine and Intensive Care Unit, University Hospital, Dijon, France
                [2 ]INSERM LNC- UMR 1231, Dijon, France
                [3 ]University of Bourgogne-Franche-Comté, Dijon, France
                [4 ]Biostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Bourgogne Franche-Comté University, Dijon, France
                [5 ]INSERM, CIC 1432, Dijon, France; Dijon University Hospital, Clinical Investigation Center, clinical epidemiology/ clinical trials unit, Dijon, France
                [6 ]Infectious Diseases Department, Dijon University Hospital, Dijon, France
                [7 ]Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France
                [8 ]These two authors contributed equally to this work Lionel Piroth, Philippe Bonniaud, Marjolaine Georges and Catherine Quantin are full professors.
                Author notes
                Corresponding author: Pr Philippe Bonniaud ( philippe.bonniaud@ 123456chu-dijon.fr )
                Author information
                https://orcid.org/0000-0003-2830-5642
                Article
                ERJ-04474-2020
                10.1183/13993003.04474-2020
                8135927
                34016619
                838a0186-546e-4131-9d3d-457b29fb3e4c
                Copyright ©The authors 2021.

                This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org

                History
                : 10 December 2020
                : 1 May 2021
                Categories
                Original Research Article

                Respiratory medicine
                Respiratory medicine

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