Prevalence of current patterns and predictive trends of multidrug-resistant Salmonella Typhi in Sudan

Annals of Clinical Microbiology and Antimicrobials

Research

Ayman A. Elshayeb¹  Adil A. El Hussien¹  Marmar A. El Siddig¹  Abdelazim A. Ahmed² 

[1] Faculty of Science, University of Khartoum, Khartoum, Sudan;Faculty of Science, University of Khartoum, Khartoum, Sudan;Albaha University, Al Bahah, Saudi Arabia;

关键词: Antibiotics;    Ciprofloxacin;    Salmonella;    Prediction;    Resistance;   

DOI  :  10.1186/s12941-017-0247-4

 received in 2017-05-17, accepted in 2017-11-04,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundEnteric fever has persistence of great impact in Sudanese public health especially during rainy season when the causative agent Salmonella enterica serovar Typhi possesses pan endemic patterns in most regions of Sudan - Khartoum.ObjectivesThe present study aims to assess the recent state of antibiotics susceptibility of Salmonella Typhi with special concern to multidrug resistance strains and predict the emergence of new resistant patterns and outbreaks.MethodsSalmonella Typhi strains were isolated and identified according to the guidelines of the International Standardization Organization and the World Health Organization. The antibiotics susceptibilities were tested using the recommendations of the Clinical Laboratories Standards Institute. Predictions of emerging resistant bacteria patterns and outbreaks in Sudan were done using logistic regression, forecasting linear equations and in silico simulations models.ResultsA total of 124 antibiotics resistant Salmonella Typhi strains categorized in 12 average groups were isolated, different patterns of resistance statistically calculated by (y = ax − b). Minimum bactericidal concentration’s predication of resistance was given the exponential trend (y = n ex) and the predictive coefficient R2 > 0 < 1 are approximately alike. It was assumed that resistant bacteria occurred with a constant rate of antibiotic doses during the whole experimental period. Thus, the number of sensitive bacteria decreases at the same rate as resistant occur following term to the modified predictive model which solved computationally.ConclusionThis study assesses the prediction of multi-drug resistance among S. Typhi isolates by applying low cost materials and simple statistical methods suitable for the most frequently used antibiotics as typhoid empirical therapy. Therefore, bacterial surveillance systems should be implemented to present data on the aetiology and current antimicrobial drug resistance patterns of community-acquired agents causing outbreaks.

【 授权许可】

CC BY   
© The Author(s) 2017