Literature DB >> 32998491

Underlying conditions in adults with COVID-19.

Wenche Nystad, Vidar Hjellvik, Inger Kristin Larsen, Inger Ariansen, Eyvind Helland, Knut Ivar Johansen, Johanne Gulbrandsen, Hanne Løvdal Gulseth, Helena Niemi Eide, Siri E Håberg, Øystein Karlstad, Inger Johanne Bakken.   

Abstract

BACKGROUND: Cardiovascular diseases, cancer, type-2 diabetes and chronic obstructive pulmonary disease (COPD) were initially noted as the most common diseases among individuals who were hospitalised for COVID-19. However, the evidence base is weak. The objective of this study is to describe how selected diseases were distributed among adults with confirmed COVID-19 (COVID-19 positive tests) and among those hospitalised for COVID-19 compared to the general population. MATERIAL AND
METHOD: We used data from the Norwegian Patient Registry, the Norwegian Registry for Primary Health Care and the Norwegian Surveillance System for Communicable Diseases for adults from the age of 20 and older for the period 1 March 2020-13 May 2020.
RESULTS: Of all those who tested positive for COVID-19, 7 632 (94 %) were aged 20 years or older, and 1 025 (13.4 %) of these had been hospitalised. Among those hospitalised with COVID-19, there was a higher proportion of individuals with cardiovascular diseases (18.3 % versus 15.6 %), cancer (6.9 % versus 5.4 %), type-2 diabetes (8.6 % versus 5.2 %) and COPD (3.8 % versus 2.7 %) than in the general population as a whole after adjusting for age. The proportion of hospitalised patients with asthma, other chronic respiratory disease, cardiovascular disease, ongoing cancer treatment, complications related to hypertension, obesity and overweight, neurological disorders and cardiac and renal failure was also higher than in the general population. There were few differences between persons who had tested positive for COVID-19 and the general population in terms of underlying conditions.
INTERPRETATION: Among those hospitalised for COVID-19, there was a higher proportion of patients with underlying illnesses than in the general population. This may indicate that these patients tend to have a more severe course of disease or that they are more likely to be hospitalised compared to healthy individuals. The results must be interpreted with caution, since the sample of COVID-19 individuals is non-random.

Entities:  

Mesh:

Year:  2020        PMID: 32998491     DOI: 10.4045/tidsskr.20.0512

Source DB:  PubMed          Journal:  Tidsskr Nor Laegeforen        ISSN: 0029-2001


  7 in total

1.  Underlying conditions and risk of hospitalisation, ICU admission and mortality among those with COVID-19 in Ireland: A national surveillance study.

Authors:  Kathleen E Bennett; Maeve Mullooly; Mark O'Loughlin; Margaret Fitzgerald; Joan O'Donnell; Lois O'Connor; Ajay Oza; John Cuddihy
Journal:  Lancet Reg Health Eur       Date:  2021-04-15

2.  COVID-19 in Cancer Patients, Risk Factors for Disease and Adverse Outcome, a Population-Based Study From Norway.

Authors:  Tom Børge Johannesen; Sigbjørn Smeland; Stein Aaserud; Eirik Alnes Buanes; Anna Skog; Giske Ursin; Åslaug Helland
Journal:  Front Oncol       Date:  2021-03-25       Impact factor: 6.244

3.  Comorbidities of Primary Care patients with COVID-19 during the first wave of the SARS-CoV-2 pandemic in the Community of Madrid.

Authors:  J L Puerta; M Torrego-Ellacuría; A Del Rey-Mejías; C Biénzobas López
Journal:  Rev Esp Quimioter       Date:  2021-12-10       Impact factor: 1.553

4.  Factors associated with COVID-19 viral and antibody test positivity and assessment of test concordance: a retrospective cohort study using electronic health records from the USA.

Authors:  Lisa Lindsay; Matthew H Secrest; Shemra Rizzo; Daniel S Keebler; Fei Yang; Larry Tsai
Journal:  BMJ Open       Date:  2021-10-01       Impact factor: 3.006

5.  Relationship between dementia, COVID-19 risk, and adherence to COVID-19 mitigation behaviors among older adults in the United States.

Authors:  Roger Wong; Margaret Anne Lovier
Journal:  Int J Geriatr Psychiatry       Date:  2022-06       Impact factor: 3.850

6.  Asthma and COVID-19 risk: a systematic review and meta-analysis.

Authors:  Anthony P Sunjaya; Sabine M Allida; Gian Luca Di Tanna; Christine R Jenkins
Journal:  Eur Respir J       Date:  2022-03-31       Impact factor: 16.671

7.  Economic distress, financial toxicity, and medical cost-coping in young adult cancer survivors during the COVID-19 pandemic: Findings from an online sample.

Authors:  Bridgette Thom; Catherine Benedict; Danielle N Friedman; Samantha E Watson; Michelle S Zeitler; Fumiko Chino
Journal:  Cancer       Date:  2021-08-05       Impact factor: 6.921

  7 in total

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