Three transmission events of Vibrio cholerae O1 into Lusaka, Zambia.

BACKGROUND: Cholera has been present and recurring in Zambia since 1977. However, there is a paucity of data on genetic relatedness and diversity of the Vibrio cholerae isolates responsible for these outbreaks. Understanding whether the outbreaks are seeded from existing local isolates or if the outbreaks represent separate transmission events can inform public health decisions. RESULTS: Seventy-two V. cholerae isolates from outbreaks in 2009/2010, 2016, and 2017/2018 in Zambia were characterized using multilocus variable number tandem repeat analysis (MLVA) and whole genome sequencing (WGS). The isolates had eight distinct MLVA genotypes that clustered into three MLVA clonal complexes (CCs). Each CC contained isolates from only one outbreak. The results from WGS revealed both clustered and dispersed single nucleotide variants. The genetic relatedness of isolates based on WGS was consistent with the MLVA, each CC was a distinct genetic lineage and had nearest neighbors from other East African countries. In Lusaka, isolates from the same outbreak were more closely related to themselves and isolates from other countries than to isolates from other outbreaks in other years. CONCLUSIONS: Our observations are consistent with i) the presence of random mutation and alternative mechanisms of nucleotide variation, and ii) three separate transmission events of V. cholerae into Lusaka, Zambia. We suggest that locally, case-area targeted invention strategies and regionally, well-coordinated plans be in place to effectively control future cholera outbreaks.

Antimicrobial resistance patterns of bacterial pathogens their distribution in university teaching hospitals in Zambia.

Aim: To determine the antimicrobial resistance patterns of bacterial pathogens from urine, blood and wound infections and their distribution by age, sex and location. Materials & methods: A total of 49,168 samples were collected, processed and analyzed. Results: Multidrug resistance was observed in almost all bacterial pathogens in blood urine and wound swabs. In urine and females odds ratio (OR) = 0.864, p = 0.023, OR = 0.909, p = 0.013 urine and neonates were susceptible to antibiotics OR = 0.859, p = 0.003, OR = 0.741, p < 0.001. Ampicillin resistance was above 90% against Escherichia coli in blood, urine and wound swabs. Conclusion: There was a spike in resistance to imipenem, ciprofloxacin and ampicillin against E. coli, Klebsiella pneumoniae, Proteus mirabilis and Proteus species from all three specimen sources.

Lay abstract Bacterial infections and microbial resistance are becoming the most challenging problems associated with increased morbidity and mortality. The emergence of antibiotic resistance is a growing concern for people of all ages and settings. This study aimed to determine the antimicrobial resistance patterns of microorganism from urine, blood and wound swabs and their distribution by age, sex and location. The study showed that bacterial isolates from urine and blood were more resistant than isolates from wound infections. Furthermore, bacterial isolates from neonates were resistant to antimicrobial agents used. Bacterial isolates from inpatients were more statistically significant to antimicrobial agents than those from outpatients. There was resistance of bacteria Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis and Proteus species from all three specimen sources to imipenem, ciprofloxacin, and ampicillin, and the effect of age, sex and location on antibiotic resistance was also significant.

Antimicrobial susceptibility patterns of bacteria that commonly cause bacteremia at a tertiary hospital in Zambia.

Background: Bloodstream infections and antimicrobial resistance cause global increases in morbidity and mortality. Aim: We evaluated the antimicrobial susceptibility patterns of bacteria that commonly cause bacteremia in humans. Materials & methods: We conducted a retrospective cross-sectional study at the University Teaching Hospitals in Lusaka, Zambia, using Laboratory Information Systems. Results: The commonest isolated bacteria associated with sepsis were Klebsiella pneumoniae. The distribution of bacteria associated with bacteremia in different wards and departments pneumonia. The distribution of bacteria associated with bacteremia in different wards and departments at University Teaching Hospitals was were statistically significant (χ2 = 1211.518; p < 0.001). Conclusion:K. pneumoniae, Escherichia coli, Pantoea agglomerans and Enterococcus species have developed high resistance levels against ampicillin, cefotaxime, ciprofloxacin, gentamicin and trimethoprim/sulfamethoxazole and a very low resistance levels against imipenem and Amikacin.

Kidney injury molecule-1 and microalbuminuria levels in Zambian population: biomarkers of kidney injury.

INTRODUCTION: Kidney injury affects renal excretion of plasma analytes and metabolic waste products with grave pathologic consequences. Early detection, thus of kidney injury is essential for injury specific intervention that may avert permanent renal damage and delay progression of kidney injury. We aimed to evaluate Kidney Injury Molecule-1 (KIM-1) and Microalbuminuria (MAU), as biomarkers of kidney injury, in comparison with creatinine. METHODS: We compared the levels of urine MAU, urine KIM-1 and other plasma biochemical tests in specimens from 80 individuals with and without kidney disease. RESULTS: We found no difference in KIM-1 levels between the kidney disease group (2.82± 1.36ng/mL) and controls (3.29 ± 1.14ng/mL), p = 0.122. MAU was higher in participants with kidney disease (130.809± 84.744 µg/mL) than the controls (15.983± 20.442µg/mL), p ?0.001. KIM-1 showed a weak negative correlation with creatinine (r = -0.279, p = 0.09), whereas MAU was positively correlated with creatinine in participants with kidney disease with statistical significance (r = 0.556, p = 0.001). CONCLUSION: The study demonstrated that in Zambian setting MAU and creatinine are sensitive biomarkers in the diagnosis of kidney damage. We moreover propose further evaluation of KIM-1 as a biomarker of kidney injury.