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    Association between Multimorbidity and COVID-19 Mortality in Qatar: A Cross-Sectional Study

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    Date
    2023-02-20
    Author
    AbouGalala, Khalid
    Elsayed, Basant
    Elmarasi, Mohamed
    Kotob, Mona
    Taha, Reham
    Abbasher, Fardous
    Amarah, Ahmed
    El Hamawi, Mariam
    Albayat, Soha S.
    Abdulmajeed, Jazeel
    Sallam, Mohamed A.H.
    Al-Shamali, Maha H.M.
    Al-Romaihi, Hamad E.
    Bansal, Devendra
    Musa, Omran A.H.
    Farag, Elmoubasher
    Al-Thani, Mohammed H.J.
    Chivese, Tawanda
    Emara, Mohamed M.
    ...show more authors ...show less authors
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    Abstract
    This study assessed the association between multimorbidity and mortality from COVID-19 in the Middle East and North Africa region, where such data are scarce. We conducted a cross-sectional study using data of all cases with COVID-19 reported to the Ministry of Public Health of Qatar from March to September 2020. Data on pre-existing comorbidities were collected using a questionnaire and multimorbidity was defined as having at least two comorbidities. Proportions of deaths were compared by comorbidity and multimorbidity status and multivariable logistic regression analyses were carried out. A total of 92,426 participants with a mean age of 37.0 years (SD 11.0) were included. Mortality due to COVID-19 was associated with gastrointestinal diseases (aOR 3.1, 95% CI 1.16–8.30), respiratory diseases (aOR 2.9, 95% CI 1.57–5.26), neurological diseases (aOR 2.6, 95% CI 1.19–5.54), diabetes (aOR 1.8, 95% CI 1.24–2.61), and CVD (aOR 1.5, 95% CI 1.03–2.22). COVID-19 mortality was strongly associated with increasing multimorbidity; one comorbidity (aOR 2.0, 95% CI 1.28–3.12), two comorbidities (aOR 2.8, 95% CI 1.79–4.38), three comorbidities (aOR 6.0, 95% 3.34–10.86) and four or more comorbidities (aOR 4.15, 95% 1.3–12.88). This study demonstrates a strong association between COVID-19 mortality and multimorbidity in Qatar.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150946478&origin=inward
    DOI/handle
    http://dx.doi.org/10.3390/microbiolres14010023
    http://hdl.handle.net/10576/42274
    Collections
    • COVID-19 Research [‎848‎ items ]
    • Medicine Research [‎1759‎ items ]

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