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      Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study

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      COVID-19 Omicron Delta study group
      PLOS ONE
      Public Library of Science

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          Abstract

          Background

          To compare the intrinsic virulence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron variant with the delta variant in hospitalized adults with coronavirus disease 2019 (COVID-19).

          Methods

          All adults hospitalized in the Capital Region of Copenhagen with a positive reverse transcription polymerase chain reaction test for SARS-CoV-2 and an available variant determination from 1 September 2021 to 11 February 2022. Data from health registries and patient files were used. Omicron and Delta patients were matched (1:1) by age, sex, comorbidities, and vaccination status. We calculated crude and adjusted hazard ratios (aHRs) for severe hypoxemia and mortality at 30 and 60 days.

          Results

          1,043 patients were included. Patients with Omicron were older, had more comorbidities, were frailer, and more often had three vaccine doses than those with Delta. Fewer patients with Omicron developed severe hypoxemia than those with Delta (aHR, 0.55; 95% confidence interval, 0.38–0.78). Omicron patients exhibited decreased aHR for 30-day mortality compared to Delta (aHR, 0.61; 0.39–0.95). Omicron patients who had received three vaccine doses had lower mortality compared to Delta patients who received three doses (aHR, 0.31;0.16–0.59), but not among those who received two or 0–1 doses (aHR, 0.86; 0.41–1.84 and 0.94; 0.49–1.81 respectively). Similar findings were observed for mortality at 60 days. Similar outcomes were obtained in the analyses of 316 individually matched patients.

          Conclusions

          Among adults hospitalized with COVID-19, those with Omicron had less severe hypoxemia and nearly 40% higher 30- and 60-day survival, as compared with those with Delta, mainly driven by a larger proportion of Omicron patients vaccinated with three doses of an mRNA vaccine.

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          Most cited references22

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Is Open Access

            The Danish National Patient Registry: a review of content, data quality, and research potential

            Background The Danish National Patient Registry (DNPR) is one of the world’s oldest nationwide hospital registries and is used extensively for research. Many studies have validated algorithms for identifying health events in the DNPR, but the reports are fragmented and no overview exists. Objectives To review the content, data quality, and research potential of the DNPR. Methods We examined the setting, history, aims, content, and classification systems of the DNPR. We searched PubMed and the Danish Medical Journal to create a bibliography of validation studies. We included also studies that were referenced in retrieved papers or known to us beforehand. Methodological considerations related to DNPR data were reviewed. Results During 1977–2012, the DNPR registered 8,085,603 persons, accounting for 7,268,857 inpatient, 5,953,405 outpatient, and 5,097,300 emergency department contacts. The DNPR provides nationwide longitudinal registration of detailed administrative and clinical data. It has recorded information on all patients discharged from Danish nonpsychiatric hospitals since 1977 and on psychiatric inpatients and emergency department and outpatient specialty clinic contacts since 1995. For each patient contact, one primary and optional secondary diagnoses are recorded according to the International Classification of Diseases. The DNPR provides a data source to identify diseases, examinations, certain in-hospital medical treatments, and surgical procedures. Long-term temporal trends in hospitalization and treatment rates can be studied. The positive predictive values of diseases and treatments vary widely (<15%–100%). The DNPR data are linkable at the patient level with data from other Danish administrative registries, clinical registries, randomized controlled trials, population surveys, and epidemiologic field studies – enabling researchers to reconstruct individual life and health trajectories for an entire population. Conclusion The DNPR is a valuable tool for epidemiological research. However, both its strengths and limitations must be considered when interpreting research results, and continuous validation of its clinical data is essential.
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              The Danish Civil Registration System as a tool in epidemiology.

              The methodological advances in epidemiology have facilitated the use of the Danish Civil Registration System (CRS) in ways not previously described systematically. We reviewed the CRS and its use as a research tool in epidemiology. We obtained information from the Danish Law on Civil Registration and the Central Office of Civil Registration, and used existing literature to provide illustrative examples of its use. The CRS is an administrative register established on April 2, 1968. It contains individual-level information on all persons residing in Denmark (and Greenland as of May 1, 1972). By January 2014, the CRS had cumulatively registered 9.5 million individuals and more than 400 million person-years of follow-up. A unique ten-digit Civil Personal Register number assigned to all persons in the CRS allows for technically easy, cost-effective, and unambiguous individual-level record linkage of Danish registers. Daily updated information on migration and vital status allows for nationwide cohort studies with virtually complete long-term follow-up on emigration and death. The CRS facilitates sampling of general population comparison cohorts, controls in case-control studies, family cohorts, and target groups in population surveys. The data in the CRS are virtually complete, have high accuracy, and can be retrieved for research purposes while protecting the anonymity of Danish residents. In conclusion, the CRS is a key tool for epidemiological research in Denmark.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 April 2023
                2023
                27 April 2023
                : 18
                : 4
                : e0282806
                Affiliations
                Gabriele d’Annunzio University of Chieti and Pescara: Universita degli Studi Gabriele d’Annunzio Chieti Pescara, ITALY
                Author notes

                Competing Interests: I have read the journal’s policy and the following authors of this manuscript have declared that no competing interests exist: JGH, CKJ, PB, TGK, FIK, ANAA, SLM, BLJ, BBB, CS, TLN, LVH, BLM, AB, ME, PHB, EMJP, GBE, AMD, AS, IHMM, NZJ, PTP, MPGJ, TIP, RE, HESSR, MB, US, HA, MRS, PS, SA, JUSJ, KB, KMJ, MJSK, TL, UVS, MGA, SR, NlD, PR, NR, DP, AK, SJ, LEK, CL, BBH, OK, SRO, STS, AP, NK, MSP, LS, MV, LEC, MS AC, JF, AF, JW, RL, MR, TL, CR and TKF. I have read the journal’s policy and the following authors of this manuscript have following competing interests: ZBH has received research grants from Independent Research Fund Denmark (grant nr. 0134-00257B) and Lundbeck Foundation (grant nr. R349-2020-835). MvW was partially supported by the Independent Research Fund Denmark (grant # 8020-00284), and Carlsberg Foundation, Semper Ardens Research Project (grant # CF20-0046). LN received travel grants from MSD, GSK and Gilead. TB has received grants from Novo Nordisk Foundation, Lundbeck Foundation, Simonsen Foundation, GSK, Pfizer, Gilead, Kai Hansen Foundation and Erik and Susanna Olesen’s Charitable Fund and personal fees from GSK, Pfizer, Boehringer Ingelheim, Gilead, MSD, Pentabase ApS, Becton Dickinson, Janssen and Astra Zeneca, all outside the submitted work.

                ¶ Membership of the COVID-19 Omicron Delta study group is listed in the Acknowledgments.

                Article
                PONE-D-22-23300
                10.1371/journal.pone.0282806
                10138229
                37104488
                d3119762-d6b2-482f-b1d7-82ae0772d042
                © 2023 COVID-19 Omicron Delta study group

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 August 2022
                : 23 February 2023
                Page count
                Figures: 1, Tables: 4, Pages: 15
                Funding
                The authors received no specific funding for this work.
                Categories
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                Custom metadata
                Data collected for this study, including individual participant data and a data dictionary defining each field in the set, are not publicly available because they contain potentially identifying and sensitive patient information. Upon request from investigators, data can be made available. Such requests should include a study protocol with clear hypotheses as well as the required permissions from the appropriate local authorities according to Danish law on Health, § 46 stk. 2, and be sent to the principal investigator, which will then be reviewed by the steering committee. If the hypothesis complies with the authorizations for this study, and is judged to be valid, a data transfer agreement will precede transfer of de-identified data. Alternatively, data requests may be sent to serum@ 123456ssi.dk .
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