Frequency and Clinical Manifestations of Pediatric Brucellosis in Iran: A Systematic Review

• Main Authors: Shirin Djalalinia, Reza Arjmand, Mehri Gholami, Yasaman Shaker, Sahar Saeedi Moghaddam, Kumars Pourrostami, Omid Safari, Nasrin Elahimehr, Saeed Nik Khah, Ehsan Zahmatkesh, Esfandiar Najafi Tavana, Mostafa Qorbani
• Format: Article
• Language: English
• Published: Mashhad University of Medical Sciences 2019-02-01
• Series: International Journal of Pediatrics
• Subjects: Brucellosis; Children; Clinical manifestations; Iran
• Online Access: http://ijp.mums.ac.ir/article_11217_f5ac5712b04a499599987e03761612c4.pdf

Background Brucellosis is a zoonotic disease that is widely distributed throughout the developing countries. Children are considered as at risk groups for infection. The aim of this study was to assess the frequency and clinical manifestations of Brucellosis in Iranian children and adolescents. Materials and Methods: We systematically searched international databases; ISI, Medline (via PubMed), Scopus, and national databases Irandoc, Barakat knowledge network system, Magiran, and Scientific Information Database (SID). The search strategy was developed based on main terms of "Brucellosis," "Brucella fever", "Gibraltar", "Rock Fever", "Undulant Fever", "Cyprus Fever", "Malta Fever", and "Bang Disease". Results: A total of 885 studies were identified, from them a total of 12 studies that were conducted between 2001 and 2016 were included. Following the relevancy assessments and quality control, data from the 1,429 participants were presented in our review. The age of the patients ranged from 2 to 18 years. Only one out of twelve studies provided the prevalence of 4.30% and 3.4 incidence. Studies varied greatly in reporting high risk behavior of animal contact (8.4 to76.0%) and unpasteurized dairy (22.4 to 91.6%). Conclusion Our finding reveals the disparity of reported prevalence and clinical manifestations of Brucellosis in Iranian children. Fever and joint pain were the most frequent reported signs. Differences in study design, measurement tools and methods, and sub population sampling, does not provide the possibility of aggregation of data for more comprehensive inference.