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- Izadi, Zara, et al.
(författare)
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Environmental and societal factors associated with COVID-19-related death in people with rheumatic disease : an observational study
- 2022
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Ingår i: The Lancet Rheumatology. - : Elsevier. - 2665-9913. ; 4:9, s. e603-e613
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Tidskriftsartikel (refereegranskat)abstract
- Background: Differences in the distribution of individual-level clinical risk factors across regions do not fully explain the observed global disparities in COVID-19 outcomes. We aimed to investigate the associations between environmental and societal factors and country-level variations in mortality attributed to COVID-19 among people with rheumatic disease globally.Methods: In this observational study, we derived individual-level data on adults (aged 18–99 years) with rheumatic disease and a confirmed status of their highest COVID-19 severity level from the COVID-19 Global Rheumatology Alliance (GRA) registry, collected between March 12, 2020, and Aug 27, 2021. Environmental and societal factors were obtained from publicly available sources. The primary endpoint was mortality attributed to COVID-19. We used a multivariable logistic regression to evaluate independent associations between environmental and societal factors and death, after controlling for individual-level risk factors. We used a series of nested mixed-effects models to establish whether environmental and societal factors sufficiently explained country-level variations in death.Findings: 14 044 patients from 23 countries were included in the analyses. 10 178 (72·5%) individuals were female and 3866 (27·5%) were male, with a mean age of 54·4 years (SD 15·6). Air pollution (odds ratio 1·10 per 10 μg/m3 [95% CI 1·01–1·17]; p=0·0105), proportion of the population aged 65 years or older (1·19 per 1% increase [1·10–1·30]; p<0·0001), and population mobility (1·03 per 1% increase in number of visits to grocery and pharmacy stores [1·02–1·05]; p<0·0001 and 1·02 per 1% increase in number of visits to workplaces [1·00–1·03]; p=0·032) were independently associated with higher odds of mortality. Number of hospital beds (0·94 per 1-unit increase per 1000 people [0·88–1·00]; p=0·046), human development index (0·65 per 0·1-unit increase [0·44–0·96]; p=0·032), government response stringency (0·83 per 10-unit increase in containment index [0·74–0·93]; p=0·0018), as well as follow-up time (0·78 per month [0·69–0·88]; p<0·0001) were independently associated with lower odds of mortality. These factors sufficiently explained country-level variations in death attributable to COVID-19 (intraclass correlation coefficient 1·2% [0·1–9·5]; p=0·14).Interpretation: Our findings highlight the importance of environmental and societal factors as potential explanations of the observed regional disparities in COVID-19 outcomes among people with rheumatic disease and lay foundation for a new research agenda to address these disparities.
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| 3. |
- Abdulla, N., et al.
(författare)
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Epidemiology of hip fracture in Qatar and development of a country specific FRAX model
- 2022
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Ingår i: Archives of Osteoporosis. - : Springer Science and Business Media LLC. - 1862-3522 .- 1862-3514. ; 17:1
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Tidskriftsartikel (refereegranskat)abstract
- A Summary Hip fracture data were retrieved from electronical medical records for the years 2017-2019 in the State of Qatar and used to create a FRAX (R) model to facilitate fracture risk assessment. Hip fracture rates were comparable with estimates from Saudi Arabia, Abu Dhabi, and Kuwait but fracture probabilities varied due to differences in mortality. Objective This paper describes the epidemiology of osteoporotic fractures in the State of Qatar that was used to develop the country-specific fracture prediction FRAX (R) tool. Methods Hip fracture data were retrieved from electronic medical records for the years 2017-2019 in the State of Qatar. The age and sex specific incidence of hip fracture in Qatari residents and national mortality rates were used to create a FRAX (R) model. Fracture probabilities were compared with those from neighboring countries having FRAX models. Results Hip fracture rates were comparable with estimates from Saudi Arabia, Abu Dhabi and Kuwait. In contrast, probabilities of a major osteoporotic fracture or hip fracture were lower in Qatar than in Kuwait but higher than those in Abu Dhabi and Saudi Arabia due to differences in mortality. Conclusion The FRAX model should enhance accuracy of determining fracture probability among the Qatari population and help guide decisions about treatment.
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| 4. |
- Ishigaki, Kazuyoshi, et al.
(författare)
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Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis
- 2022
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Ingår i: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 54:11, s. 1640-1651
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Tidskriftsartikel (refereegranskat)abstract
- Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10−8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA.
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