Risk Factors of Bacterial Resistance to Antibiotics in Internal Medicine and Hemodialysis Nephrology Services at the Edith Lucie Bongo Ondimba General Hospital

Abstract

Introduction: Antibiotic resistance is a public health problem. It is due to multi-resistant bacteria (MRB). The objective of this study was to determine bacterial resistance to antibiotics in chronic renal failure at the Edith Lucie BONGO ONDIMBA general hospital (HGELBO). Patients, material and method: This was an analytical cross-sectional study conducted from January 1 to August 31, 2019 at the HGELBO. It concerned all patients admitted to the HGELBO with positive bacteriological samples. After a study of the sensitivity to isolated species, the patients were divided into two (02) groups: those MRB positive (+) and not MRB or negative (-). Epi Info software version 3.5.1 was used for the calculation of the rates and the comparison of the variables. The adjusted odds ratio (ORa) with a 95% confidence interval was used to measure the specific effect of each risk factor such as chronic kidney disease and diabetes, in order to rule out confounding factors. Multivariate analysis by binomial logistic regression was used. Results: There were 375 bacteriological samples from 258 patients, among them 247 patients with 235 positive samples or 63%. The eleven (11) are healthy patients. The median age was 33 with extremes ranging from 16 to 90. The female sex was predominant with a sex ratio of 0.6. The majority of MRB+ cases were found in internal medicine and nephrology with 12 cases (38.7%) and hemodialysis with 4 cases (12.9%). Urinary samples were in the majority with 74.5%. Escherichia coli was predominant in 30.3%. After studying the sensitivity to antibiotics of the 247 species included, 113 were MRB+ and 134 BMR- i.e. a frequency of 45.7%. Methicilin-resistant Staphylococcus aureus (MRSA) was predominant (51.3%). Multivariate logistic regression analysis showed that the main risk factor was antibiotic use (0Ra: 3.2 [1.9 - 5.4]; p-value S. aureus infection and male sex. Conclusion: Probabilistic antibiotic therapy leads to the selection of BMRs. Long hospital stays, male sex, and MRSA are risk factors or determinants of antibiotic resistance, but not chronic kidney disease.