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      Reply to correspondence to ‘Differentiation of COVID‐19 signs and symptoms from allergic rhinitis and common cold: An ARIA‐EAACI‐GA2LEN consensus’

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          Clinical Characteristics of Coronavirus Disease 2019 in China

          Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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            Olfactory Dysfunction in the COVID-19 Outbreak

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              Is Open Access

              Risk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients

              Introduction Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care. Methods This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18–85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration. Results Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, clinician-diagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had test-confirmed COVID-19. Risk predictors of long COVID were age ≥40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05–2.17]), female sex (adjOR=1.37 [1.02–1.85]), frailty (adjOR=2.39 [1.29–4.27]), visit to A&E (adjOR=4.28 [2.31–7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77–5.79]). Aches and pain (adjOR=1.70 [1.21–2.39]), appetite loss (adjOR=3.15 [1.78–5.92]), confusion and disorientation (adjOR=2.17 [1.57–2.99]), diarrhea (adjOR=1.4 [1.03–1.89]), and persistent dry cough (adjOR=2.77 [1.94–3.98]) were symptom features statistically more common in long COVID. Conclusion This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients.
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                Author and article information

                Contributors
                jan.hagemann@unimedizin-mainz.de
                Journal
                Allergy
                Allergy
                10.1111/(ISSN)1398-9995
                ALL
                Allergy
                John Wiley and Sons Inc. (Hoboken )
                0105-4538
                1398-9995
                06 August 2022
                August 2022
                06 August 2022
                : 77
                : 8 ( doiID: 10.1111/all.v77.8 )
                : 2574-2575
                Affiliations
                [ 1 ] Department of Otolaryngology, Head and Neck Surgery Universitätsmedizin Mainz Mainz Germany
                [ 2 ] Institute of Allergology Charité – Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany
                [ 3 ] Allergology and Immunology Fraunhofer Institute for Translational Medicine and Pharmacology ITMP Berlin Germany
                [ 4 ] Department of Biomedical Sciences Humanitas University Pieve Emanuele, Milan Italy
                [ 5 ] IRCCS Humanitas Research Hospital Rozzano Milan Italy
                [ 6 ] University Hospital Montpellier Montpellier France
                [ 7 ] Center for Rhinology and Allergology Wiesbaden Germany
                Author notes
                [*] [* ] Correspondence

                Jan Hagemann, Universitätsmedizin Mainz, Hals‐Nasen‐Ohrenklinik und Poliklinik, Langenbeckstr. 1, 55131 Mainz, Germany.

                Email: jan.hagemann@ 123456unimedizin-mainz.de

                Author information
                https://orcid.org/0000-0002-1466-8875
                https://orcid.org/0000-0002-4061-4766
                https://orcid.org/0000-0002-2455-0192
                Article
                ALL15330
                10.1111/all.15330
                9538534
                35932252
                2c2c27ca-0c18-437e-8205-0519103ef84c
                © 2022 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 01 April 2022
                : 19 April 2022
                Page count
                Figures: 0, Tables: 0, Pages: 2, Words: 864
                Categories
                Correspondence
                Correspondences
                Custom metadata
                2.0
                August 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:07.10.2022

                Immunology
                Immunology

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