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Seasonal variation in acute gouty arthritis: data from Nationwide Inpatient Sample

Overview of attention for article published in Clinical Rheumatology, August 2015
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Title
Seasonal variation in acute gouty arthritis: data from Nationwide Inpatient Sample
Published in
Clinical Rheumatology, August 2015
DOI 10.1007/s10067-015-3042-7
Pubmed ID
Authors

Paras Karmacharya, Ranjan Pathak, Madan Raj Aryal, Smith Giri, Anthony A. Donato

Abstract

Studies describing seasonal variations in acute gouty arthritis note seasonal variation, but disagree on timing, with most showing a peak in spring months while others show peaks later in the year. Various theories on the effect of weather and immune system changes on the chronobiology of monosodium urate crystals' equilibrium and precipitation have been proposed. We aimed to shed light on this question by examining the seasonal variation in the incidence of acute gouty arthritis in the USA using a large inpatient database. We used the Nationwide Inpatient Sample (NIS) database to identify patients aged ≥18 years with primarydiagnosis of acute gouty arthritis (International Classification of Diseases, 9th Revision, Clinical Modificationcode 274.01) from 2009-2011 during hospitalization. We used the Edwards recognition and estimation ofcyclic trend method to study the seasonal variation of the incidence of acute gout and z-test to compare theseasonal incidences. A total of 28,172 hospitalizations with primary diagnosis of acute gouty arthritis were reported in the USA from 2009-2011. The peak incidence of acute gout was seen in November (peak/low ratio 1.34, 95 % CI 1.29-1.38, p < 0.05). The highest number of hospitalizations was observed in autumn months while the lowest incidence was observed in spring (28.12 vs. 23.13 %, p < 0.001). The peak incidence of acute gout seems to be in the fall with its peak in the month of November. This seasonality may shed light into the pathophysiology of acute attacks and better management of patients with gout who are at risk of acute attacks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 26%
Student > Doctoral Student 3 13%
Student > Ph. D. Student 3 13%
Student > Postgraduate 2 9%
Other 1 4%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Nursing and Health Professions 4 17%
Agricultural and Biological Sciences 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 August 2015.
All research outputs
#15,392,860
of 25,830,657 outputs
Outputs from Clinical Rheumatology
#1,887
of 3,319 outputs
Outputs of similar age
#134,505
of 276,514 outputs
Outputs of similar age from Clinical Rheumatology
#33
of 50 outputs
Altmetric has tracked 25,830,657 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,319 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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