Seasonal distribution of active systemic lupus erythematosus and its correlation with meteorological factors

Zhang, Huali; Shi-Chao, Xu; De-shen, Tang; Liu, Huafeng

doi:10.1590/s1807-59322011000600015

Cited by 18 publications

(7 citation statements)

References 13 publications

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“…However, the annual average temperature and annual relative humidity reported by China Meterological Administration, maybe influential factors on the epidemiology of biopsy-proven LN in China. According to a report about the characteristics of seasonal distribution of active SLE and the influences of meteorological factors including temperature and humidity on active SLE in the city of Zhanjiang which is located in the southernmost continent of China, Liu et al found that active SLE has the characteristics of seasonal distribution and is associated with temperature but not related to mean humidity [ 66 ].…”

Section: Discussionmentioning

confidence: 99%

Geographical distribution, a risk factor for the incidence of lupus nephritis in China

Deng

et al. 2014

BMC Nephrol

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BackgroundGeographical variation in lupus nephritis epidemiology may indicate important environmental factors contributions to the etiology of lupus nephritis. This paper first describes the epidemiology of biopsy-proven lupus nephritis in China by performing a systematic literature review and the possible social-environmental influential factors.MethodsThe keywords “lupus nephritis”, “renal biopsy” and “systemic lupus erythematous” were searched in the three largest Chinese electronic databases and Medline/PubMed. The data of the patients with biopsy-proven lupus nephritis were extracted. The possible environmental influential factors including the population density, ethnic group populations, the ratio of females to males, the average sunshine per year, annual average temperature and annual relative humidity, in different regions of China were analyzed.ResultsForty-one study centers with 34574 renal disease patients, and 3699 lupus nephritis patients met the inclusion criteria. Lupus nephritis accounts for 2.37% to 25% of all renal disease and 27.2% to 80.65% of renal disease associated with secondary glomerular diseases. The male-to-female ratio is approximately 1:5 in lupus nephritis patients. The included period is predominantly from 1995 to 2010. The proportion ratio of biopsy-proven lupus nephritis in all renal disease or in secondary glomerular disease significantly increased with decreasing latitude from the north to the south part of China. The population is predominantly Han Chinese.ConclusionsGeographical distribution appears to be a risk factor for the incidence of biopsy-proven LN in China.

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Section: Discussionmentioning

confidence: 99%

Geographical distribution, a risk factor for the incidence of lupus nephritis in China

Deng

et al. 2014

BMC Nephrol

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“…Different clinical and epidemiological studies have been conducted on seasonality of SLE, and focused on flare, fatigue and periodicity of onset of clinical manifestations. Overall, SLE disease activity has been associated with specific seasonal patterns in both, Northern and Southern hemispheres, possibly in relation to sun exposure, meteorological factors and vitamin D levels [8][9][10][11]. Therefore, the present 10-year retrospective web-based research investigated the seasonality of Google Trends search volumes for 'lupus' and for SLE-related search terms, in the Northern and Southern hemispheres.…”

Section: Introductionmentioning

confidence: 99%

Infodemiology of systemic lupus erythematous using Google Trends

Radin

Sciascia

2017

Lupus

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Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. 'Infodemiology' and 'infoveillance' are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering 'lupus', 'relapse' and 'fatigue' in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn-Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for 'lupus' were correlated with 'relapse' (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between 'fatigue' and 'relapse' (τ = 0.85; p = 0.018). Similarly, a significant correlation between 'fatigue' and 'relapse' (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

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“…They conclude that it is necessary to improve educational programs in order to enhance the knowledge on this potentially fatal emergency. Hua-Li et al (36) explored the characteristics of seasonal distribution and the influences of meteorological factors including temperature and humidity on active systemic lupus erythematosus trough a retrospective analysis of 640 patients living in the city of Zhanjiang, China. In winter, when there are weaker ultraviolet (UV) rays, the ratio of patients with active SLE to total inpatients was 3.89%, which is significantly higher than in other seasons with stronger UV rays, including 2.17% in spring, 1.87% in summer and 2.12% in autumn.…”

Section: Othermentioning

confidence: 99%

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Seasonal distribution of active systemic lupus erythematosus and its correlation with meteorological factors

Cited by 18 publications

References 13 publications

Geographical distribution, a risk factor for the incidence of lupus nephritis in China

Geographical distribution, a risk factor for the incidence of lupus nephritis in China

Infodemiology of systemic lupus erythematous using Google Trends

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