BACKGROUND
Antimicrobial resistance is of great global public health concern. In order to address the paucity of antibiotic consumption data and antimicrobial resistance surveillance systems in hospitals in humanitarian settings, we estimated antibiotic consumption in six hospitals with the aim of developing recommendations for improvements in antimicrobial stewardship programs.
METHODS
Six hospitals supported by Médecins sans Frontières were included in the study: Boost-Afghanistan, Kutupalong-Bangladesh, Baraka and Mweso-Democratic Republic of Congo, Kule-Ethiopia, and Bentiu-South Sudan. Data for 36,984 inpatients and antibiotic consumption data were collected from 2018 to 2020. Antibiotics were categorized per World Health Organization Access Watch Reserve classification. Total antibiotic consumption was measured by Defined Daily Doses (DDDs)/1000 bed-days.
RESULTS
Average antibiotic consumption in all hospitals was 2745 DDDs/1000 bed-days. Boost hospital had the highest antibiotic consumption (4157 DDDs/1000 bed-days) and Bentiu the lowest (1598 DDDs/1000 bed-days). In all hospitals, Access antibiotics were mostly used (69.7%), followed by Watch antibiotics (30.1%). The most consumed antibiotics were amoxicillin (23.5%), amoxicillin and clavulanic acid (14%), and metronidazole (13.2%). Across all projects, mean annual antibiotic consumption reduced by 22.3% during the study period, mainly driven by the reduction in Boost hospital in Afghanistan.
CONCLUSIONS
This was the first study to assess antibiotic consumption by DDD metric in hospitals in humanitarian settings. Antibiotic consumption in project hospitals was higher than those reported from non-humanitarian settings. Routine systematic antibiotic consumption monitoring systems should be implemented in hospitals, accompanied by prescribing audits and point-prevalence surveys, to inform about the volume and appropriateness of antibiotic use and to support antimicrobial stewardship efforts in humanitarian settings.
INTRODUCTION
Both high- and low-income countries reported increased antibiotic consumption among COVID-19 patients during the first months of the pandemic. To date, however, no studies have examined changes in antibiotic consumption during the COVID-19 pandemic within humanitarian emergency contexts.
METHODS
Data was collected by Médecins Sans Frontières (MSF) for the years 2018-2021 across the following humanitarian settings: Afghanistan (Lashkar Gah), Bangladesh (Kutupalong), the Democratic Republic of Congo (Mweso and Baraka), and South Sudan (Bentiu). Inpatient and outpatient antibiotic consumption was calculated as Daily Defined Dose (DDD) per 1000 inhabitants per day, as per the World Health Organisation's (WHO) Collaborating Centre for Drug Statistics Methodology. Interrupted time series (ITS) analysis, using an autoregressive integrated moving average (ARIMA) model was used to analyse retrospective monthly antibiotic consumption. The impact of COVID-19 pandemic was evaluated as total antibiotic consumption and according to WHO Access, Watch, Reserve (AWaRe) group classifications within each humanitarian setting.
RESULTS
The COVID-19 pandemic had no statistically significant impact on total antibiotic consumption in South Sudan (Bentiu) and Bangladesh (Kutupalong). Similarly, the pandemic had no impact on total antibiotic consumption in DR Congo (Baraka), despite an initial 0.27% (estimate=.274, p-value=0.006) increase in March 2020 driven by Access group antibiotics. Meanwhile, total antibiotic consumption in DR Congo (Mweso) and Afghanistan (Lashkar Gah) declined by 0.74% (estimate = -.744, p = 0.003) and 0.26% (estimate = -.26, p < 0.001), respectively with the COVID-19 pandemic.
CONCLUSION
Further studies are required to investigate what may have contributed to these results.
We analysed the concordance of rectal swab isolates and blood culture for Gram-negative bacteria (GNB) isolates in neonates with a suspicion of neonatal sepsis admitted to a neonatal care unit in Haiti.
METHODS
We matched pairs of blood and rectal samples taken on the date of suspected sepsis onset in the same neonate. We calculated the proportion of rectal isolates in concordance with the blood isolates by species and genus. We calculated the negative predictive value (NPV) for GNB and extended-spectrum β-lactamase (ESBL)-producing GNB for all rectal and blood isolate pairs in neonates with suspected sepsis.
RESULTS
We identified 238 blood and rectal samples pairs, with 238 blood isolate results and 309 rectal isolate results. The overall concordance in genus and species between blood and rectal isolates was 22.3% [95% confidence interval (CI) 17.4-28.0%] and 20.6% (95% CI 16.0-26.2%), respectively. The highest concordance between blood and rectal isolates was observed for samples with no bacterial growth (65%), followed byKlebsiella pneumoniae (18%) and Klebsiella oxytoca (12%). The NPV of detecting GNB bacterial isolates in rectal samples compared with those in blood samples was 81.6% and the NPV for ESBL-positive GNB was 92.6%.
CONCLUSIONS
The NPV of rectal swab GNB isolates was high in all patient groups and was even higher for ESBL-positive GNB. Clinicians can use the results from rectal swabs when taken simultaneously with blood samples during outbreaks to inform the (de-)escalation of antibiotic therapy in those neonates that have an ongoing sepsis profile.