SANDRA GOFINET PASOTO

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Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/17 - Laboratório de Investigação em Reumatologia, Hospital das Clínicas, Faculdade de Medicina
LIM/03 - Laboratório de Medicina Laboratorial, Hospital das Clínicas, Faculdade de Medicina

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Autor: PASOTO, S. G. × search.filters.applied.f.dateIssued: 2023 ×

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  • article 1 Citação(ões) na Scopus
    Exposure to air pollution as an environmental determinant of how Sjögren's disease is expressed at diagnosis
    (2023) BRITO-ZERON, P.; FLORES-CHAVEZ, A.; NG, W. -F.; HORVATH, I. Fanny; RASMUSSEN, A.; PRIORI, R.; BALDINI, C.; ARMAGAN, B.; OZKIZILTAS, B.; PRAPROTNIK, S.; SUZUKI, Y.; QUARTUCCIO, L.; HERNANDEZ-MOLINA, G.; ABACAR, K.; BARTOLONI, E.; RISCHMUELLER, M.; OLIVEIRA, F. Reis-de; TREVISANI, V. Fernandes Moca; JURCUT, C.; FUGMANN, C.; CARUBBI, F.; HOFAUER, B.; VALIM, V.; PASOTO, S. G.; RETAMOZO, S.; ATZENI, F.; FONSECA-AIZPURU, E.; LOPEZ-DUPLA, M.; GIACOMELLI, R.; NAKAMURA, H.; AKASBI, M.; THOMPSON, K.; SZANTO, A.; FARRIS, A. D.; VILLA, M.; BOMBARDIERI, S.; KILIC, L.; TUFAN, A.; PIRKMAJER, K. Perdan; FUJISAWA, Y.; VITA, S. De; INANC, N.; RAMOS-CASALS, M.
    ObjectiveTo analyse how the potential exposure to air pollutants can influence the key components at the time of diagnosis of Sjogren's phenotype (epidemiological profile, sicca symptoms, and systemic disease). MethodsFor 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. Air pollution indexes per country were defined according to the OECD (1990-2021), including emission data of nitrogen and sulphur oxides (NO/SO), particulate matter (PM2.5 and 1.0), carbon monoxide (CO) and volatile organic compounds (VOC) calculated per unit of GDP, Kg per 1000 USD.ResultsThe results of the chi-square tests of independence for each air pollutant with the frequency of dry eyes at diagnosis showed that, except for one, all variables exhibited p-values <0.0001. The most pronounced disparities emerged in the dry eye prevalence among individuals inhabiting countries with the highest NO/SO exposure, a surge of 4.61 percentage points compared to other countries, followed by CO (3.59 points), non-methane (3.32 points), PM2.5 (3.30 points), and PM1.0 (1.60 points) exposures. Concerning dry mouth, individuals residing in countries with worse NO/SO exposures exhibited a heightened frequency of dry mouth by 2.05 percentage points (p<0.0001), followed by non-methane exposure (1.21 percentage points increase, p=0.007). Individuals inhabiting countries with the worst NO/SO, CO, and PM2.5 pollution levels had a higher mean global ESSDAI score than those in lower-risk nations (all p-values <0.0001). When systemic disease was stratified according to DAS into low, moderate, and high systemic activity levels, a heightened proportion of individuals manifesting moderate/severe systemic activity was observed in countries with worse exposures to NO/SO, CO, and PM2.5 pollutant levels. ConclusionFor the first time, we suggest that pollution levels could influence how SjD appears at diagnosis in a large international cohort of patients. The most notable relationships were found between symptoms (dryness and general body symptoms) and NO/SO, CO, and PM2.5 levels.
  • article 1 Citação(ões) na Scopus
    Influence of exposure to climate-related hazards in the phenotypic expression of primary Sjögren's syndrome
    (2023) FLORES-CHAVEZ, A.; BRITO-ZERON, P.; NG, W. -f.; SZANTO, A.; RASMUSSEN, A.; PRIORI, R.; BALDINI, C.; ARMAGAN, B.; OEZKIZILTAS, B.; PRAPROTNIK, S.; SUZUKI, Y.; QUARTUCCIO, L.; HERNANDEZ-MOLINA, G.; INANC, N.; BARTOLONI, E.; RISCHMUELLER, M.; OLIVEIRA, F. Reis-de; TREVISANI, V. Fernandes Moca; JURCUT, C.; NORDMARK, G.; CARUBBI, F.; HOFAUER, B.; VALIM, V.; PASOTO, S. G.; RETAMOZO, S.; ATZENI, F.; FONSECA-AIZPURU, E.; LOPEZ-DUPLA, M.; GIACOMELLI, R.; NAKAMURA, H.; AKASBI, M.; THOMPSON, K.; HORVATH, I. Fanny; FARRIS, A. D.; SIMONCELLI, E.; BOMBARDIERI, S.; KILIC, L.; TUFAN, A.; PIRKMAJER, K. Perdan; FUJISAWA, Y.; VITA, S. De; ABACAR, K.; RAMOS-CASALS, M.
    Objective To analyse how the key components at the time of diagnosis of the Sjogren'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 Sjogren across countries concerning the age at which the disease is diagnosed, the frequency of dryness, and the degree of systemic activity.