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Patterns of brucellosis infection symptoms in azerbaijan: a latent class cluster analysis.

Ismayilova R, Nasirova E, Hanou C, Rivard RG, Bautista CT - J Trop Med (2014)

Bottom Line: LCC identified a two-cluster model and the Vuong-Lo-Mendell-Rubin likelihood ratio supported the cluster model.Moreover, most of them were from Beylagan, a region focused on sheep and goat livestock production in south-central Azerbaijan.Delay in seeking medical care may explain severe illness.

View Article: PubMed Central - PubMed

Affiliation: Republican Anti-Plague Station, Baku, Azerbaijan.

ABSTRACT
Brucellosis infection is a multisystem disease, with a broad spectrum of symptoms. We investigated the existence of clusters of infected patients according to their clinical presentation. Using national surveillance data from the Electronic-Integrated Disease Surveillance System, we applied a latent class cluster (LCC) analysis on symptoms to determine clusters of brucellosis cases. A total of 454 cases reported between July 2011 and July 2013 were analyzed. LCC identified a two-cluster model and the Vuong-Lo-Mendell-Rubin likelihood ratio supported the cluster model. Brucellosis cases in the second cluster (19%) reported higher percentages of poly-lymphadenopathy, hepatomegaly, arthritis, myositis, and neuritis and changes in liver function tests compared to cases of the first cluster. Patients in the second cluster had a severe brucellosis disease course and were associated with longer delay in seeking medical attention. Moreover, most of them were from Beylagan, a region focused on sheep and goat livestock production in south-central Azerbaijan. Patients in cluster 2 accounted for one-quarter of brucellosis cases and had a more severe clinical presentation. Delay in seeking medical care may explain severe illness. Future work needs to determine the factors that influence brucellosis case seeking and identify brucellosis species, particularly among cases from Beylagan.

No MeSH data available.


Related in: MedlinePlus

Percentage of symptoms by cluster groups. Note: changes in liver function tests include aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase; neuropsychiatric symptoms include depression, lack of concentration, and insomnia.
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fig1: Percentage of symptoms by cluster groups. Note: changes in liver function tests include aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase; neuropsychiatric symptoms include depression, lack of concentration, and insomnia.

Mentions: Brucellosis is a notifiable disease in Azerbaijan. In 2010, the Azerbaijan Ministry of Health initiated an official electronic surveillance system for all nationally notifiable diseases: the Electronic Integrated Disease Surveillance System (EIDSS) [7]. This computerized surveillance and reporting system integrates human, veterinary, and laboratory data from 158 sites across the country. This study used EIDSS data and included all brucellosis cases that reported fever (>38°C) for at least five days, at least 5 of the symptoms shown in Figure 1, and a confirmed test for Brucella spp. from July 2011 through July 2013.


Patterns of brucellosis infection symptoms in azerbaijan: a latent class cluster analysis.

Ismayilova R, Nasirova E, Hanou C, Rivard RG, Bautista CT - J Trop Med (2014)

Percentage of symptoms by cluster groups. Note: changes in liver function tests include aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase; neuropsychiatric symptoms include depression, lack of concentration, and insomnia.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4279714&req=5

fig1: Percentage of symptoms by cluster groups. Note: changes in liver function tests include aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase; neuropsychiatric symptoms include depression, lack of concentration, and insomnia.
Mentions: Brucellosis is a notifiable disease in Azerbaijan. In 2010, the Azerbaijan Ministry of Health initiated an official electronic surveillance system for all nationally notifiable diseases: the Electronic Integrated Disease Surveillance System (EIDSS) [7]. This computerized surveillance and reporting system integrates human, veterinary, and laboratory data from 158 sites across the country. This study used EIDSS data and included all brucellosis cases that reported fever (>38°C) for at least five days, at least 5 of the symptoms shown in Figure 1, and a confirmed test for Brucella spp. from July 2011 through July 2013.

Bottom Line: LCC identified a two-cluster model and the Vuong-Lo-Mendell-Rubin likelihood ratio supported the cluster model.Moreover, most of them were from Beylagan, a region focused on sheep and goat livestock production in south-central Azerbaijan.Delay in seeking medical care may explain severe illness.

View Article: PubMed Central - PubMed

Affiliation: Republican Anti-Plague Station, Baku, Azerbaijan.

ABSTRACT
Brucellosis infection is a multisystem disease, with a broad spectrum of symptoms. We investigated the existence of clusters of infected patients according to their clinical presentation. Using national surveillance data from the Electronic-Integrated Disease Surveillance System, we applied a latent class cluster (LCC) analysis on symptoms to determine clusters of brucellosis cases. A total of 454 cases reported between July 2011 and July 2013 were analyzed. LCC identified a two-cluster model and the Vuong-Lo-Mendell-Rubin likelihood ratio supported the cluster model. Brucellosis cases in the second cluster (19%) reported higher percentages of poly-lymphadenopathy, hepatomegaly, arthritis, myositis, and neuritis and changes in liver function tests compared to cases of the first cluster. Patients in the second cluster had a severe brucellosis disease course and were associated with longer delay in seeking medical attention. Moreover, most of them were from Beylagan, a region focused on sheep and goat livestock production in south-central Azerbaijan. Patients in cluster 2 accounted for one-quarter of brucellosis cases and had a more severe clinical presentation. Delay in seeking medical care may explain severe illness. Future work needs to determine the factors that influence brucellosis case seeking and identify brucellosis species, particularly among cases from Beylagan.

No MeSH data available.


Related in: MedlinePlus