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1.
001-es BibID:
BIBFORM119113
035-os BibID:
(scopus)85181178127 (WoS)001134013500012
Első szerző:
Flores-Chávez, Alejandra
Cím:
Influence of exposure to climate-related hazards in the phenotypic expression of primary Sjögren's syndrome / Flores-Chávez Alejandra, Brito-Zerón Pilar, Ng Wan-Fai, Szántó Antónia, Rasmussen Astrid, Priori Roberta, Baldini Chiara, Armagan Berkan, Özkiziltas Burcugül, Praprotnik Sonja, Suzuki Yasunori, Quartuccio Luca, Hernández-Molina Gabriela, Inanc Nevsun, Bartoloni Elena, Rischmueller Maureen, Reis-de Oliveira Fabiola, Fernandes Moca Trevisani Virginia, Jurcut Ciprian, Nordmark Gunnel, Carubbi Francesco, Hofauer Benedikt, Valim Valeria, Pasoto Sandra G., Retamozo Soledad, Atzeni Fabiola, Fonseca-Aizpuru Eva, López-Dupla Miguel, Giacomelli Roberto, Nakamura Hideki, Akasbi Miriam, Thompson Kyle, Fanny Horváth Ildiko, Farris A. Darise, Simoncelli Edoardo, Bombardieri Stefano, Kilic Levent, Tufan Abdurrahman, Perdan Pirkmajer Katja, Fujisawa Yuhei, De Vita Salvatore, Abacar Kerem, Ramos-Casals Manuel, Sjögren Big Data Consortium
Dátum:
2023
ISSN:
0392-856X 1593-098X
Megjegyzések:
OBJECTIVES: To analyse how the key components at the time of diagnosis of the Sjögren's phenotype (epidemiological profile, sicca symptoms, and systemic disease) can be influenced by the potential exposure to climate-related natural hazards. METHODS: For the present study, the following variables were selected for harmonisation and refinement: age, sex, country, fulfilment of 2002/2016 criteria items, dry eyes, dry mouth, and overall ESSDAI score. Climate-related hazards per country were defined according to the OECD and included seven climate-related hazard types: extreme temperature, extreme precipitation, drought, wildfire, wind threats, river flooding, and coastal flooding. Climatic variables were defined as dichotomous variables according to whether each country is ranked among the ten countries with the most significant exposure. RESULTS: After applying data-cleaning techniques and excluding people from countries not included in the OECD climate rankings, the database study analysed 16,042 patients from 23 countries. The disease was diagnosed between 1 and 3 years earlier in people living in countries included among the top 10 worst exposed to extreme precipitation, wildfire, wind threats, river flooding, and coastal flooding. A lower frequency of dry eyes was observed in people living in countries exposed to wind threats, river flooding, and coastal flooding, with a level of statistical association being classified as strong (p<0.0001 for the three variables). The frequency of dry mouth was significantly lower in people living in countries exposed to river flooding (p<0.0001) and coastal flooding (p<0.0001). People living in countries included in the worse climate scenarios for extreme temperature (p<0.0001) and river flooding (p<0.0001) showed a higher mean ESSDAI score in comparison with people living in no-risk countries. In contrast, those living in countries exposed to worse climate scenarios for wind threats (p<0.0001) and coastal flooding (p<0.0001) showed a lower mean ESSDAI score in comparison with people living in no-risk countries. CONCLUSIONS: Local exposure to extreme climate-related hazards plays a role in modulating the presentation of Sjögren across countries concerning the age at which the disease is diagnosed, the frequency of dryness, and the degree of systemic activity.
Tárgyszavak:
Orvostudományok
Klinikai orvostudományok
idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Sjögren's syndrome
dryness
systemic
ESSDAI
climate
epidemiology
Megjelenés:
Clinical And Experimental Rheumatology. - 41 : 12 (2023), p. 2437-2447. -
További szerzők:
Brito-Zerón, Pilar
Ng, Wan Fai
Szántó Antónia (1977-) (belgyógyász, allergológus és klinikai immunológus)
Rasmussen, Astrid
Priori, Roberta
Baldini, Chiara
Armagan, Berkan
Özkiziltaș, Burcugül
Praprotnik, Sonja
Suzuki, Yasunori
Quartuccio, Luca
Hernandez-Molina, Gabriela
Inanc, Nevsun
Bartoloni, Elena
Rischmueller, Maureen
Reis-de Oliveira, Fabiola
Fernandes Moça Trevisani, Virginia
Jurcut, Ciprian
Nordmark, Gunnel
Carubbi, Francesco
Hofauer, Benedikt
Valim, Valeria
Pasoto, Sandra
Retamozo, Soledad
Atzeni, Fabiola
Fonseca-Aizpuru, Eva
López-Dupla, Miguel
Giacomelli, Roberto
Nakamura, Hideki
Akasbi, Miriam
Thompson, Kyle
Horváth Ildikó Fanny (1980-) (belgyógyász, allergológus, klinikai immunológus)
Farris, Darise
Simoncelli, Edoardo
Bombardieri, Stefano
Kilic, Levent
Tufan, Abdurrahman
Perdan Pirkmajer, Katja
Fujisawa, Yuhei
Vita, Salvatore de
Abacar, Kerem
Ramos-Casals, Manuel
Sjögren Big Data Consortium
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