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Influence of exposure to climate-related hazards in the phenotypic expression of primary Sjögren’s syndrome

  • behalf of the Sjögren Big Data Consortium
  • Hospital Clínic de Barcelona
  • Hospital-CIMA-Centre Mèdic Milenium Balmes Sanitas
  • Newcastle University
  • Newcastle upon Tyne Hospitals NHS Foundation Trust
  • University of Debrecen
  • Oklahoma Medical Research Foundation
  • University of Rome La Sapienza
  • Saint Camillus International University of Health and Medical Sciences
  • University of Pisa
  • Hacettepe University
  • Gazi University
  • University Medical Centre
  • Kanazawa University
  • University of Udine
  • Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran
  • Marmara University
  • University of Perugia
  • University of Adelaide
  • Universidade de São Paulo
  • Universidade Federal de São Paulo
  • Carol Davila Central Military Emergency Hospital
  • Uppsala University
  • San Salvatore Hospital
  • Technical University of Munich
  • Universidade Federal do Espírito Santo
  • Clinica Quiron
  • University of Messina
  • Hospital de Cabuenes
  • Hospital Joan XXIII
  • Campus Bio-Medico University Hospital Foundation
  • Universita Campus Bio-Medico di Roma
  • Nihon University
  • Hospital Infanta Leonor
  • University of Ljubljana
  • University of Barcelona

Research output: Contribution to journalArticlepeer-review

Abstract

Objective 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. Conclusion 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.

Original languageEnglish
Pages (from-to)2437-2447
Number of pages11
JournalClinical and Experimental Rheumatology
Volume41
Issue number12
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • climate
  • dryness
  • epidemiology
  • ESSDAI
  • Sjögren’s syndrome
  • systemic

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