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BackgroundIn December 2019, the COVID-19 outbreak began in China and quickly spread throughout the world and was reclassified as a pandemic in March 2020. The first case of COVID-19 was declared in Togo on March 5. Two months later, few data were available to describe the circulation of the new coronavirus in the country.ObjectiveThis survey aimed to estimate the prevalence of SARS-CoV-2 in high-risk populations in Lomé.Materials and methodsFrom April 23, 2020, to May 8, 2020, we recruited a sample of participants from five sectors: health care, air transport, police, road transport and informal. We collected oropharyngeal swabs for direct detection through real-time reverse transcription polymerase chain reaction (rRT-PCR) and blood for antibody detection by serological tests. The overall prevalence (current and past) of infection was defined by positivity for both tests.ResultsA total of 955 participants with a median age of 36 (IQR 32-43) were included, and 71.6% (n = 684) were men. Approximately 22.1% (n = 212) were from the air transport sector, 20.5% (n = 196) were from the police sector, and 38.7% (n = 370) were from the health sector. Seven participants (0.7%, 95% CI: 0.3-1.6%) had a positive rRT-PCR test result at the time of recruitment, and nine (0.9%, 95% CI: 0.4-1.8%) were seropositive for IgM or IgG against SARS-CoV-2. We found an overall prevalence of 1.6% (n = 15), 95% CI: 0.9-2.6%.ConclusionThe prevalence of SARS-CoV-2 infection among high-risk populations in Lomé was relatively low and could be explained by the various measures taken by the Togolese government. Therefore, we recommend targeted screening.

(1) Background: The rise in antibiotic resistant bacteria poses a significant threat to public health worldwide, necessitating innovative solutions. This study explores the role of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) in the context of antibiotic resistance among different species from the Enterococcus genus. (2) Methods: The genomes of Enterococcus included in the study were analyzed using CRISPRCasFinder to distinguish between CRISPR-positive (level 4 CRISPR) and CRISPR-negative genomes. Antibiotic resistance genes were identified, and a comparative analysis explored potential associations between CRISPR presence and antibiotic resistance profiles in Enterococcus species. (3) Results: Out of ten antibiotic resistance genes found in Enterococcus species, only one, the efmA gene, showed a strong association with CRISPR-negative isolates, while the others did not significantly differ between CRISPR-positive and CRISPR-negative Enterococcus genomes. (4) Conclusion: These findings indicate that the efmA gene may be more prevalent in CRISPR-negative Enterococcus genomes, and they may contribute to a better understanding of the molecular mechanisms underlying the acquisition of antibiotic resistance genes in Enterococcus species.

Background: Some health care systems have set up referral trauma centers to centralize expertise to improve trauma management. There is scant and controversial evidence regarding the impact of provider’s volume on the outcomes of trauma management. Objective: To evaluate the impact of hospital volume on the outcomes of renal trauma management in a European health care system. Design, setting, and participants: A retrospective multicenter study, including all patients admitted for renal trauma in 17 French hospitals between 2005 and 2015, was conducted. Intervention: Nephrectomy, angioembolization, or nonoperative management. Outcome measurements and statistical analysis: Four quartiles according to the caseload per year: low volume (eight or fewer per year), moderate volume (nine to 13 per year), high volume (14–25/yr), and very high volume (≥26/yr). The primary endpoint was failure of nonoperative management defined as any interventional radiology or surgical procedure needed within the first 30 d after admission. Results and limitations: Of 1771 patients with renal trauma, 1704 were included. Nonoperative management was more prevalent in the very-high- and low-volume centers (p = 0.02). In a univariate analysis, very high hospital volume was associated with a lower risk of nonoperative management failure than low (odds ratio [OR] = 0.54; p = 0.05) and moderate (OR = 0.48; p = 0.02) hospital volume. There were fewer nephrectomies in the high- and very-high-volume groups (p = 0.003). In a multivariate analysis, very high volume remained associated with a lower risk of nonoperative management failure than low (OR = 0.48; p = 0.04) and moderate (OR = 0.42; p = 0.01) volume. Study limitations include all the shortcomings inherent to its retrospective multicenter design. Conclusions: In this multicenter study, management of renal trauma varied according to hospital volume. There were lower rates of nephrectomy and failure of nonoperative management in very-high-volume centers. These results raise the question of centralizing the management of renal trauma, which is currently not the case in our health care system. Patient summary: In this study, management of renal trauma varied according to hospital volume. Very-high-volume centers had lower rates of nephrectomy and failure of nonoperative management.