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Laboratory Epidemiology of Salmonella Infections and Multi-Drug Resistance Profiles in Nigeria: Barriers, Challenges and Proposed Solutions
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Abstract
Background
National surveillance data on
Salmonella
antimicrobial resistance (AMR) and associated laboratory challenges are limited. There is a critical need to identify and address the barriers and challenges to strengthen the national AMR surveillance and policy guide targeted interventions for
Salmonella
infections in different geographical areas. We investigated multi-laboratory culture records to quantify AMR profiles for
Salmonella
infections, diagnostic gaps, and challenges in Nigeria.
Methods
Using a retrospective study, we analysed a total of 84,548 culture results from 26,630 patients across 25 public laboratories participated in the AMR surveillance report from Nigeria.
Salmonella
species and stool culture positivity rates were compared throughout the 3 years period. Stool sampling gaps were quantified and
Salmonella
species AMR for key antibiotic classes were assessed. Chi-square test and Wald risk ratios (RR) were used for statistical analysis, a p-value of
<0.05
was considered statistically significant.
Results
Out of 84,548 culture results, a total of 621
Salmonella
species were isolated with
Salmonella typhi
being the most commonly reported species. Stool samples represented only 3% of all collected specimens, yet
Salmonella
species culture positivity escalated from 64% to 97% (2016 to 2017; RR 1.51, 95% CI 1.37–1.65,
p<0.001
). AMR remained entrenched: trimethoprim– sulfamethoxazole ≥90%, fluoroquinolones ≥69%, and nalidixic acid 91%; cephalosporin resistance climbed from 60% to 88%. We identified a limited stool collection compared to other samples, which impacted identification of
Salmonella
infections in an endemic area like Nigeria. The key barriers were limited laboratory data integration and lack of One Health surveillance which amplified
Salmonella
infections AMR threat.
Conclusion
Limited stool culture and escalating multi-drug resistance jeopardise the empirical therapy for
Salmonella
infections. Our study offers immediate, scalable interventions to strengthen One-Health
Salmonella
infections AMR control in Nigeria.
Highlights
Exceptionally high
Salmonella
positivity rate in underutilized stool samples.
>75% resistance to core antibiotics, fluoroquinolones and cephalosporins threatens empirical
Salmonella
infections treatment.
Limited species-level reporting on
Salmonella
cultures and low One Health
Salmonella
surveillance.
Novel framework links microbiological gaps to targeted antimicrobial resistance (AMR) containment strategies for
Salmonella
infections.
Significant contribution
This work provides a rare, multi-site analysis of
Salmonella
diagnostic patterns, resistance profiles, and laboratory performance, revealing critical microbiological gaps and underutilized diagnostics potential. It contributes a novel, evidence-driven recommendations framework that integrates species-level data, AMR surveillance, and stewardship strategies, advancing precision microbiology for
Salmonella
infection control in resource-limited settings.
Graphical abstract
Title: Laboratory Epidemiology of
Salmonella
Infections and Multi-Drug Resistance Profiles in Nigeria: Barriers, Challenges and Proposed Solutions
Description:
Abstract
Background
National surveillance data on
Salmonella
antimicrobial resistance (AMR) and associated laboratory challenges are limited.
There is a critical need to identify and address the barriers and challenges to strengthen the national AMR surveillance and policy guide targeted interventions for
Salmonella
infections in different geographical areas.
We investigated multi-laboratory culture records to quantify AMR profiles for
Salmonella
infections, diagnostic gaps, and challenges in Nigeria.
Methods
Using a retrospective study, we analysed a total of 84,548 culture results from 26,630 patients across 25 public laboratories participated in the AMR surveillance report from Nigeria.
Salmonella
species and stool culture positivity rates were compared throughout the 3 years period.
Stool sampling gaps were quantified and
Salmonella
species AMR for key antibiotic classes were assessed.
Chi-square test and Wald risk ratios (RR) were used for statistical analysis, a p-value of
<0.
05
was considered statistically significant.
Results
Out of 84,548 culture results, a total of 621
Salmonella
species were isolated with
Salmonella typhi
being the most commonly reported species.
Stool samples represented only 3% of all collected specimens, yet
Salmonella
species culture positivity escalated from 64% to 97% (2016 to 2017; RR 1.
51, 95% CI 1.
37–1.
65,
p<0.
001
).
AMR remained entrenched: trimethoprim– sulfamethoxazole ≥90%, fluoroquinolones ≥69%, and nalidixic acid 91%; cephalosporin resistance climbed from 60% to 88%.
We identified a limited stool collection compared to other samples, which impacted identification of
Salmonella
infections in an endemic area like Nigeria.
The key barriers were limited laboratory data integration and lack of One Health surveillance which amplified
Salmonella
infections AMR threat.
Conclusion
Limited stool culture and escalating multi-drug resistance jeopardise the empirical therapy for
Salmonella
infections.
Our study offers immediate, scalable interventions to strengthen One-Health
Salmonella
infections AMR control in Nigeria.
Highlights
Exceptionally high
Salmonella
positivity rate in underutilized stool samples.
>75% resistance to core antibiotics, fluoroquinolones and cephalosporins threatens empirical
Salmonella
infections treatment.
Limited species-level reporting on
Salmonella
cultures and low One Health
Salmonella
surveillance.
Novel framework links microbiological gaps to targeted antimicrobial resistance (AMR) containment strategies for
Salmonella
infections.
Significant contribution
This work provides a rare, multi-site analysis of
Salmonella
diagnostic patterns, resistance profiles, and laboratory performance, revealing critical microbiological gaps and underutilized diagnostics potential.
It contributes a novel, evidence-driven recommendations framework that integrates species-level data, AMR surveillance, and stewardship strategies, advancing precision microbiology for
Salmonella
infection control in resource-limited settings.
Graphical abstract.
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