ABSTRACT
Objectives.
To assess antibiotic susceptibility of World Health Organization (WHO) priority bacteria (Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Salmonella spp., Staphylococcus aureus, and Streptococcus pneumoniae) in blood cultures at the Orinoquía regional hospital in Colombia.
Methods.
This was cross-sectional study using routine laboratory data for the period 2019–2021. Data on blood samples from patients suspected of a bloodstream infection were examined. We determined: the total number of blood cultures done and the proportion with culture yield; the characteristics of patients with priority bacteria; and the type of bacteria isolated and antibiotic resistance patterns.
Results.
Of 25 469 blood cultures done, 1628 (6%) yielded bacteria; 774 (48%) of these bacteria were WHO priority pathogens. Most of the priority bacteria isolated (558; 72%) were gram-negative and 216 (28%) were gram-positive organisms. Most patients with priority bacteria (666; 86%) were hospitalized in wards other than the intensive care unit, 427 (55%) were male, and 321 (42%) were ≥ 60 years of age. Of the 216 gram-positive bacteria isolated, 205 (95%) were Staphylococcus aureus. Of the 558 gram-negative priority bacteria isolated, the three most common were Escherichia coli (34%), Klebsiella pneumoniae (28%), and Acinetobacter baumannii (20%). The highest resistance of Staphylococcus aureus was to oxacillin (41%). For gram-negative bacteria, resistance to antibiotics ranged from 4% (amikacin) to 72% (ampicillin).
Conclusions.
Bacterial yield from blood cultures was low and could be improved. WHO priority bacteria were found in all hospital wards. This calls for rigorous infection prevention and control standards and continued surveillance of antibiotic resistance.
Keyword
Sepsis; blood culture; anti-bacterial agents; drug resistance, microbial; Colombia
RESUMEN
Objetivos.
Evaluar la sensibilidad a los antibióticos de las bacterias incluidas en la lista prioritaria de la Organización Mundial de la Salud (OMS) (Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Salmonella spp., Staphylococcus aureus y Streptococcus pneumoniae) en hemocultivos en el Hospital Regional de la Orinoquía en Colombia.
Métodos.
Se trata de un estudio transversal que empleó datos rutinarios de laboratorio del período comprendido entre los años 2019 y 2021. Se examinaron datos de muestras de sangre de pacientes con presunción clínica de infección del torrente sanguíneo. Se determinó el número total de hemocultivos realizados y la proporción cultivos con resultados, las características de los pacientes con bacterias prioritarias, así como el tipo de bacterias aisladas y los patrones de resistencia a los antibióticos.
Resultados.
De 25 469 hemocultivos realizados, se aislaron bacterias en 1628 (6%); 774 (48%) con agentes patógenos prioritarios de la OMS. La mayoría de las cepas bacterianas prioritarias aisladas (558; 72%) eran gramnegativas y 216 (28%), organismos grampositivos. La mayoría de los pacientes con bacterias prioritarias (666; 86%) fueron hospitalizados en salas distintas de la unidad de cuidados intensivos, 427 (55%) eran varones y 321 (42%) tenían 60 años o más. De las 216 bacterias grampositivas aisladas, 205 (95%) eran Staphylococcus aureus. De las 558 bacterias prioritarias gramnegativas aisladas, las tres más comunes fueron Escherichia coli (34%), Klebsiella pneumoniae (28%) y Acinetobacter baumannii (20%). La mayor resistencia de Staphylococcus aureus fue a la oxacilina (41%). Entre las bacterias gramnegativas, la resistencia a los antibióticos varió del 4% (amikacina) al 72% (ampicilina).
Conclusiones.
El aislamiento de bacterias en los hemocultivos fue bajo y podría mejorarse. Se encontraron bacterias de la lista prioritaria de la OMS en todas las salas del hospital, por lo que es necesario aplicar rigurosas normas de prevención y control de infecciones y realizar una vigilancia continua de la resistencia a los antibióticos.
Palabras clave
Sepsis; cultivo de sangre; antibacterianos; farmacorresistencia microbiana; Colombia
RESUMO
Objetivos.
Avaliar a suscetibilidade a antibióticos das bactérias consideradas prioritárias pela Organização Mundial da Saúde (OMS) (Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, Salmonella spp., Staphylococcus aureus e Streptococcus pneumoniae) em hemoculturas coletadas no hospital regional de Orinoquía na Colômbia.
Métodos.
Estudo transversal utilizando dados laboratoriais de rotina do período 2019-2021. Foram examinados os dados de amostras de sangue de pacientes com suspeita de infecção de corrente sanguínea. Determinamos o número total de hemoculturas realizadas e a proporção de culturas com rendimento, as características dos pacientes com bactérias prioritárias, e o tipo de bactéria isolada e padrões de resistência a antibióticos.
Resultados.
Das 25.469 hemoculturas realizadas, 1.628 (6%) foram positivas para bactérias, sendo que 774 (48%) dessas bactérias eram da lista de agentes patogênicos prioritários da OMS. A maioria das bactérias prioritárias isoladas (558; 72%) eram gram-negativas e 216 (28%) eram gram-positivas. A maioria dos pacientes com bactérias prioritárias (666; 86%) estava internada em enfermaria, e não em unidade de terapia intensiva. 427 (55%) eram homens e 321 (42%) tinham ≥ 60 anos de idade. Das 216 bactérias gram-positivas isoladas, 205 (95%) eram Staphylococcus aureus. Das 558 bactérias gram-negativas prioritárias isoladas, as três mais frequentes foram Escherichia coli (34%), Klebsiella pneumoniae (28%) e Acinetobacter baumannii (20%). O Staphylococcus aureus apresentou maior resistência à oxacilina (41%). Entre as bactérias gram-negativas, a resistência aos antibióticos variou entre 4% (amicacina) e 72% (ampicilina).
Conclusões.
O rendimento bacteriano das hemoculturas foi baixo e pode ser melhorado. As bactérias consideradas prioritárias pela OMS foram encontradas em todas as enfermarias do hospital. Os achados exigem normas rigorosas de prevenção e controle de infecção, e vigilância contínua da resistência bacteriana a antibióticos.
Palavras-chave
Sepse; hemocultura; antibacterianos; resistência microbiana a medicamentos; Colômbia
Bloodstream infections (also known as sepsis) are life-threatening and need to be treated immediately. Mortality in cases of sepsis is estimated to be 15–30% (11. Karakonstantis S, Kritsotakis EI. Systematic review and meta-analysis of the proportion and associated mortality of polymicrobial (vs monomicrobial) pulmonary and bloodstream infections by Acinetobacter baumannii complex. Infection. 2021;49(6):1149–61.–33. Li Z, Zhuang H, Wang G, Wang H, Dong Y. Prevalence, predictors, and mortality of bloodstream infections due to methicillin-resistant Staphylococcus aureus in patients with malignancy: systemic review and meta-analysis. BMC Infect Dis. 2021;21(1):74.). When sepsis is suspected, health care practitioners usually start patients on intravenous broad-spectrum antibiotics that cover various types of bacteria while waiting for the results of blood culture and antibiotic sensitivity testing. When these results become available, the treatment is tailored and an effective antibiotic is used (44. Gonzalez MD, Chao T, Pettengill MA. Modern blood culture: management decisions and method options. Clin Lab Med. 2020;40(4):379–92.). Timely availability of blood culture results promotes diagnostic stewardship and rational use of antibiotics (55. Banerjee R, Humphries R. Rapid antimicrobial susceptibility testing methods for blood cultures and their clinical impact. Front Med (Lausanne). 2021;8:635831., 66. Calderaro A, Buttrini M, Martinelli M, Covan S, Montecchini S, Ruggeri A, et al. Rapid microbial identification and phenotypic antimicrobial susceptibility testing directly from positive blood cultures: a new platform compared to routine laboratory methods. Diagn Microbiol Infect Dis. 2020;96(3):114955.).
In 2015, the World Health Organization (WHO) introduced the Global Antimicrobial Resistance Surveillance System (GLASS) for monitoring antimicrobial resistance. In blood samples, surveillance is recommended for six priority pathogens. These pathogens include four gram-negative bacteria (Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Salmonella spp.) and two gram-positive bacteria (Staphylococcus aureus and Streptococcus pneumoniae) (77. Global Antimicrobial Resistance Surveillance System. Manual for early implementation [Internet]. Geneva: World Health Organization; 2015 [cited 2012 Jul 18]. Available from: https://apps.who.int/iris/handle/10665/188783
https://apps.who.int/iris/handle/10665/1... ).
A recent systematic review of 163 studies from low- and lower middle-income countries showed considerable heterogeneity between studies on antibiotic resistance in the priority pathogens (88. Ayobami O, Brinkwirth S, Eckmanns T, Markwart R. Antibiotic resistance in hospital-acquired ESKAPE-E infections in low- and lower-middle-income countries: a systematic review and meta-analysis. Emerg Microbes Infect. 2022;11(1):443–51.). Pooled resistance proportions for gram-negative pathogens were higher in low- and lower middle-income countries than in high-income countries. Given the observed heterogeneity in the levels of resistance, the review recommended the need for improved national and subnational surveillance to detect differences in antibiotic resistance at various levels.
Previous studies from Colombia have also highlighted varying bacterial profiles and resistance patterns (99. Cifuentes Y, Ruiz AI, Leal AL, Munoz LC, Herrera MT, Jimenez LM. [Microbiological profiling of isolates from the neonatal unit of a third-level hospital in Bogota, Colombia]. Rev Salud Publica (Bogota). 2005;7(2):191–200.–1111. Cortes JA, Leal AL, Montanez AM, Buitrago G, Castillo JS, Guzman L, et al. Frequency of microorganisms isolated in patients with bacteremia in intensive care units in Colombia and their resistance profiles. Braz J Infect Dis. 2013;17(3):346–52.) and the importance of blood culture and antibiotic sensitivity testing, including the use of automated systems (66. Calderaro A, Buttrini M, Martinelli M, Covan S, Montecchini S, Ruggeri A, et al. Rapid microbial identification and phenotypic antimicrobial susceptibility testing directly from positive blood cultures: a new platform compared to routine laboratory methods. Diagn Microbiol Infect Dis. 2020;96(3):114955.,1212. Ceballos-Garzon A, Cabrera E, Cortes-Fraile GC, Leon A, Aguirre-Guataqui K, Linares-Linares MY, et al. In-house protocol and performance of MALDI-TOF MS in the early diagnosis of bloodstream infections in a fourth-level hospital in Colombia: jumping to full use of this technology. Int J Infect Dis. 2020;101:85–9.–1414. Jouffroy R, Vivien B. Antimicrobials administration time in patients with suspected sepsis: faster is better for severe patients. J Intensive Care. 2020;8:52.).
The Orinoquía regional tertiary hospital in Colombia has a quality-controlled laboratory that has data on antibiotic resistance in blood samples from patients suspected of sepsis. These data provide an opportunity to analyze culture yields and antibiotic resistance patterns for WHO priority bacteria. Such hospital-level data on antimicrobial resistance are vital to track evolving bacterial profiles and resistance, which in turn could inform and enhance infection prevention and control and stewardship programs.
Culture yield and WHO priority bacteria isolated from blood samples at Orinoquía hospital, Colombia, 2019-2021
We therefore aimed to assess the antibiotic susceptibility of WHO priority pathogens in blood samples at the Orinoquía regional tertiary hospital in Colombia. The specific objectives were to determine: (i) the total number of blood cultures done and the proportion with a culture yield; and (ii) the WHO priority bacteria and their antibiotic resistance patterns.
METHODS
Study design and setting
This was a cross-sectional descriptive study using routine hospital data.
The study was carried out at the Orinoquía regional tertiary hospital in Yopal, Colombia. Colombia has 2711 hospitals in the country with more than 78 000 hospital beds. The Orinoquía regional hospital was established in 1954 and it became a regional tertiary hospital in 2015. It has a catchment area of about 177 688 inhabitants. The hospital has 333 beds, 1234 health workers, and offers emergency services, outpatient consultation, hospitalization, and surgical services. The inpatient wards include internal medicine, surgery, orthopedics, obstetrics and gynecology, pediatrics, and neonatology. Before 2020, the hospital had only a neonatal intensive care unit (ICU). As a result of coronavirus disease 2019 (COVID-19) pandemic, the emergency unit was turned into an ICU to manage patients with severe COVID-19. The total number of ICU beds increased from four to 96 in 2020. The hospital has a laboratory that offers all the basic tests including biochemistry, hematology, blood culture, and antibiotic sensitivity testing. The hospital sends antimicrobial resistance information to the Colombian national health institute for antimicrobial surveillance.
Blood sample collection and blood culture
For patients suspected of blood stream infection – defined as individuals with fever, hypotension, tachycardia, and tachypnea (77. Global Antimicrobial Resistance Surveillance System. Manual for early implementation [Internet]. Geneva: World Health Organization; 2015 [cited 2012 Jul 18]. Available from: https://apps.who.int/iris/handle/10665/188783
https://apps.who.int/iris/handle/10665/1... ) – two blood specimens are drawn by clinical and paramedical staff and sent to the hospital laboratory. Blood cultures and antibiotic sensitivity testing are done according to the guidelines of the Clinical and Laboratory Standards Institute (1515. Performance standards for antimicrobial susceptibility testing, 28th edition. Wayne, PA: Clinical and Laboratory Standards Institute; 2018.).
Each of the two 10-mL blood specimens are transferred into 30 mL of brain–heart infusion broth and incubated for 5 days in a BACT/ALERT® 3D (bioMérieux) automated microbial detection system. Any signs of bacterial colonies are reported at 48 hours and the culture is then processed for identification of the bacteria and antibiotic sensitivity testing. All bacterial colonies are subcultured for purity and identified by colony morphology and biochemical tests. Isolates are confirmed using the VITEK® 2 isolation system (bioMérieux).
Antibiotic susceptibility testing
All isolated pathogens are tested for antibiotic susceptibility by the VITEK® 2 system and read according to recommendations of the Clinical and Laboratory Standards Institute (1515. Performance standards for antimicrobial susceptibility testing, 28th edition. Wayne, PA: Clinical and Laboratory Standards Institute; 2018.). The results are expressed as sensitive, intermediate, or resistant. In cases of bacterial growth, a preliminary report is sent to the treating clinician and the final report is sent within 48 hours. Established quality-control measures are in place based on national standards.
Characteristics of patients with WHO priority bacteria isolated from blood cultures at Orinoquía hospital, Colombia, 2019–2021
All laboratory data were entered manually into the WHONET data platform (1616. WHONET. The microbiology laboratory database software [Internet]. Geneva: World Health Organization [cited 2021 Jul 21]. Available from: https://whonet.org
https://whonet.org... ) by a trained data-entry clerk who entered the data from an automated machine for culture and sensitivity testing. Data entry into WHONET was cross-validated by a microbiologist. Antibiotic resistance was categorized using the WHO classification of Access (first-line), Watch (restricted), Reserve (last resort) (AWaRe) antibiotics (1717. AWaRe classification [Internet]. Geneva: World Health Organization; 2021 [cited 2021 Jul 18]. Available from: https://www.who.int/publications/i/item/2021-aware-classification
https://www.who.int/publications/i/item/... ).
Study population and data collected
All blood cultures and antibiotic sensitivity testing that were done at the regional public hospital of Orinoquía, Colombia during January 2019 to December 2021 were included in our study.
Data on patient characteristics, type of ward, bacterial culture, bacterial pathogen identified, and antibiotic susceptibility results were retrieved from hospital records and transferred to the electronic database in Microsoft Excel format.
Statistical analysis
Microsoft Excel was imported into EpiData software v2.2.2.186 (EpiData Association, Odense, Denmark) for the analysis. Results are presented as numbers and percentages.
Ethics approval
Permission to use the laboratory data was sought from the Chief of the Investigation Group of Orinoquía hospital. National approval was obtained from the health research ethics committee of Orinoquía hospital (Acta 005 2021). International ethics approval was obtained from the ethics advisory group of the International Union against Tuberculosis and Lung Disease, Paris, France (EAG 24/21) and the Pan American Health Organization (0385.01 2021). The study used anonymized program data and therefore individual informed consent did not apply.
WHO priority bacteria isolated from blood cultures at Orinoquía hospital, Colombia, 2019–2021
RESULTS
Culture yield and WHO priority bacteria isolated
Of a total of 25 469 blood samples that were processed for culture, 1628 (6%) yielded bacteria and 774 (3%) were WHO priority bacteria. Of the priority pathogens, 558 (72%) were gram-negative and 216 (28%) were gram-positive organisms (Figure 1).
Characteristics of patients infected with WHO priority bacteria
Of patients infected with WHO priority bacteria, the greatest proportion were older than 60 years (42%), were male (55%), and were hospitalized in general wards (86%) (Table 1).
WHO priority bacteria isolated and their antibiotic resistance patterns
Of the 216 gram-positive WHO priority bacteria isolated, 205 (95%) were Staphylococcus aureus. The three most common gram-negative bacteria were Escherichia coli (34%), Klebsiella pneumoniae (28%), and Acinetobacter baumannii (20%) (Table 2). Pseudomonas aeruginosa, Serratia marcescens, and Salmonella spp. made up the remaining gram-negative bacteria (Table 2).
Table 3 shows the antibiotic resistance patterns of the gram-positive WHO priority bacteria. Of the Staphylococcus aureus samples tested, the highest resistance was to oxacillin (41%), an Access group antibiotic. No resistance was found to vancomycin and linezolid (Watch group antibiotics) (1717. AWaRe classification [Internet]. Geneva: World Health Organization; 2021 [cited 2021 Jul 18]. Available from: https://www.who.int/publications/i/item/2021-aware-classification
https://www.who.int/publications/i/item/... ).
Table 4 shows antibiotic resistance patterns of gram-negative WHO priority bacteria. For all gram-negative bacteria, resistance to amikacin (Access group antibiotic) (1717. AWaRe classification [Internet]. Geneva: World Health Organization; 2021 [cited 2021 Jul 18]. Available from: https://www.who.int/publications/i/item/2021-aware-classification
https://www.who.int/publications/i/item/... ) was low (0–9%). Overall, resistance was highest to ampicillin (67%). In the Watch group antibiotics, resistance to all tested antibiotics ranged from 0% to 42%. Overall, resistance was highest to ciprofloxacin.
DISCUSSION
This 3-year study of all blood samples (25 469) processed in a regional tertiary hospital in Colombia showed that only 6% had a bacterial culture yield and WHO priority bacteria were isolated in patients from all hospital wards.
The study strengths are that data covered a 3-year period, laboratory quality standards were ensured and reporting was in line with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines (1818. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Bull World Health Organ. 2007;85(11):867–72.). The study also had some limitations. We had no data on how blood sample collection, transport, and storage were done, and this might have influenced culture yields. We also used two blood specimens instead of the recommended three and this might have negatively influenced the culture yield. Laboratory turn-around times, which are important for clinical decision-making, were also not available in the database. Going forwards, this element should be added to the database. Finally, we did not include Reserve antibiotics for resistance testing and this could be considered in future studies.
The study findings have a number of implications. First, the finding of WHO priority bacteria in all general hospital wards is concerning. This may be explained by the reorganization of the hospital wards to accommodate severely ill patients without COVID-19 in the general wards as the ICU was overloaded with COVID-19 patients. Understandably, general wards do not have the same infection prevention and control standards as specialized ICUs, and acquisition and transmission of WHO priority pathogens become more possible in this context. Whatever the reasons for this finding, the priority now is to ensure high infection prevention and control standards and continued vigilance in the general wards.
Second, our culture yield was 6%, which is low. Although blood culture yields are known to be generally low, this figure is lower than reports from India (9%) (1919. Gohel K, Jojera A, Soni S, Gang S, Sabnis R, Desai M. Bacteriological profile and drug resistance patterns of blood culture isolates in a tertiary care nephrourology teaching institute. Biomed Res Int. 2014;2014:153747.), Europe (14%) (2020. Nannan Panday RS, Wang S, van de Ven PM, Hekker TAM, Alam N, Nanayakkara PWB. Evaluation of blood culture epidemiology and efficiency in a large European teaching hospital. PLoS One. 2019;14(3):e0214052.), and Cameroon (28%) (2121. Kamga HL, Anna N, Fon P, Assob J, Nsagha DS, Weledji E. Prevalence of septicaemia and antibiotic sensitivity pattern of bacterial isolates at the University Teaching Hospital, Yaoundé, Cameroon. Afr J Clin Exp Microbiol. 2011;12:2–8.). The underlying message here is to try to achieve higher culture positivity rates. A number of factors can influence the yield of blood cultures. These factors include adherence to: the criteria of suspected bloodstream infection (sepsis) before use of antibiotics; the volume of blood drawn; the frequency with which culture samples are drawn; and the site from which the culture samples are taken (2222. Shafazand S, Weinacker AB. Blood cultures in the critical care unit: improving utilization and yield. Chest. 2002;122(5):1727–36.). Handling of cultures in the microbiology laboratory and the type of blood culture system used also influence blood culture yield (2222. Shafazand S, Weinacker AB. Blood cultures in the critical care unit: improving utilization and yield. Chest. 2002;122(5):1727–36.). Other factors include challenges in sample collection and transportation, and higher storage temperatures before incubation (2323. Ling CL, Roberts T, Soeng S, Cusack TP, Dance DAB, Lee SJ, et al. Impact of delays to incubation and storage temperature on blood culture results: a multi-centre study. BMC Infect Dis. 2021;21(1):173.). Determining the exact reasons behind the low culture yield would allow the institution of take corrective measures but requires additional specific research.
Antibiotic resistance patterns for gram-positive WHO priority bacteria isolated from blood cultures at Orinoquía hospital, Colombia, 2019–2021
Antibiotic resistance patterns of gram-negative WHO priority bacteria isolated from blood cultures at Orinoquía hospital, Colombia, 2019–2021
Finally, the main pathogens isolated in our study included Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, and Acinetobacter baumannii, which is similar to the pattern reported in other hospitals in Colombia (2424. De La Rosa G, Leon AL, Jaimes F. [Epidemiology and prognosis of patients with bloodstream infection in 10 hospitals in Colombia]. Rev Chilena Infectol. 2016;33(2):141–9.). However, resistance patterns of WHO priority bacteria (gram-positive and gram-negative) were generally low compared to the patterns reported in other low- and middle-income countries (88. Ayobami O, Brinkwirth S, Eckmanns T, Markwart R. Antibiotic resistance in hospital-acquired ESKAPE-E infections in low- and lower-middle-income countries: a systematic review and meta-analysis. Emerg Microbes Infect. 2022;11(1):443–51.). For gram-positive bacteria, oxacillin resistance was highest (41%) and they showed the presence of methicillin-resistant Staphylococcus aureus (MRSA). Encouragingly, as reported in a recent review from other countries, we found no resistance to vancomycin or linezolid, which may be linked to the fact that their use is restricted in the community (2525. Unni S, Siddiqui TJ, Bidaisee S. Reduced susceptibility and resistance to vancomycin of Staphylococcus aureus: a review of global incidence patterns and related genetic mechanisms. Cureus. 2021;13(10):e18925.). In gram-negative bacteria, resistance to third-generation cephalosporins was less than 23%, which contrasts with other settings where the pooled prevalence of resistance was 75% (88. Ayobami O, Brinkwirth S, Eckmanns T, Markwart R. Antibiotic resistance in hospital-acquired ESKAPE-E infections in low- and lower-middle-income countries: a systematic review and meta-analysis. Emerg Microbes Infect. 2022;11(1):443–51.). Ciprofloxacin resistance was the highest in our study (42%). This drug is commonly used orally with reports of frequent use in the community during COVID-19.
Another point to take into account is that the low levels of antimicrobial resistance in Acinetobacter baumannii and Pseudomonas aeruginosa may be associated with low access to broad-spectrum antibiotics and the level of care of the hospital.
In conclusion, our findings are important as they show that WHO priority bacteria are circulating in general wards. This highlights the urgent need to ensure infection, prevention and control standards for patients, visitors, and health care workers and for continued surveillance of antimicrobial resistance. In addition, the yield from bacterial culture of blood samples was relatively low which could be improved.
Disclaimer.
The authors have sole responsibility for the views expressed in the manuscript, which may not necessarily reflect the opinion or policy of the Revista Panamericana de Salud Pública / Pan American Journal of Public Health and/or those of the Pan American Health Organization.
- Author contributions.JCS, LGA, and DF were involved in the conception or design of the work, and data acquisition. JCS, AA, and PT analysed and interpreted the data. JCS, AA, PT, and CT drafted the manuscript. AA, PT, JR, and RZ critically reviewed and revised the manuscript. All authors reviewed and approved the final version.
- Conflicts of interest.None declared.
- Funding.This SORT IT AMR Programme is funded by the National Institute of Health Research, Department of Health & Social Care of the United Kingdom of Great Britain and Northern Ireland and supported by implementing partners. All open access and ethics related costs will be covered by the WHO Special Programme for Research and Training in Tropical Diseases (TDR).
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Publication Dates
- Publication in this collection
28 Apr 2023 - Date of issue
2023
History
- Received
19 Oct 2022 - Accepted
24 Oct 2022