How Should We Manage Antimicrobial Resistance in Resource-Limited Settings?

Patients living in low- and middle-income countries (LMICs) shoulder the greatest burden of infections caused by antimicrobial-resistant pathogens. Speedy access to appropriate broad-spectrum antimicrobials significantly improves health outcomes and reduces transmission of antimicrobial-resistant pathogens, but persons living in LMICs have compromised access to these antimicrobials. This article considers how inequities in microbiology diagnostics, antimicrobial access, and antimicrobial affordability influence outcomes for patients infected with antimicrobial-resistant pathogens who live in resource-limited settings.

Etiology of Fever and Associated Outcomes Among Adults Receiving Chemotherapy for the Treatment of Solid Tumors in Uganda.

Background: Little is known about the microbiology and outcomes of chemotherapy-associated febrile illness among patients in sub-Saharan Africa. Understanding the microbiology of febrile illness could improve antibiotic selection and infection-related outcomes. Methods: From September 2019 through June 2022, we prospectively enrolled adult inpatients at the Uganda Cancer Institute who had solid tumors and developed fever within 30 days of receiving chemotherapy. Evaluation included blood cultures, malaria rapid diagnostic tests, and urinary lipoarabinomannan testing for tuberculosis. Serum cryptococcal antigen was evaluated in participants with human immunodeficiency virus (HIV). The primary outcome was the mortality rate 40 days after fever onset, which we estimated using Cox proportional hazards models. Results: A total of 104 febrile episodes occurred among 99 participants. Thirty febrile episodes (29%) had ≥1 positive microbiologic result. The most frequently identified causes of infection were tuberculosis (19%) and bacteremia (12%). The prevalence of tuberculosis did not differ by HIV status. The 40-day case fatality ratio was 25%. There was no difference in all-cause mortality based on HIV serostatus, presence of neutropenia, or positive microbiologic results. A universal vital assessment score of >4 was associated with all-cause mortality (hazard ratio, 14.5 [95% confidence interval, 5-42.7]). Conclusions: The 40-day mortality rate among Ugandan patients with solid tumors who developed chemotherapy-associated febrile illness was high, and few had an identified source of infection. Tuberculosis and bacterial bloodstream infections were the leading diagnoses associated with fever. Tuberculosis should be included in the differential diagnosis for patients who develop fever after receiving chemotherapy in tuberculosis-endemic settings, regardless of HIV serostatus.

Knowledge and perceptions of antimicrobial resistance and antimicrobial stewardship among staff at a national cancer referral center in Uganda.

Objectives: As access to cancer care has improved throughout sub-Saharan Africa, treatment-associated infections have increased. Assessing healthcare worker knowledge of antimicrobial stewardship and identifying the barriers to infection management will inform the development of contextually appropriate antimicrobial stewardship programs, improving cancer outcomes in sub-Saharan Africa. Design: Cross-sectional survey. Setting: The Uganda Cancer Institute (UCI), a national cancer referral center in Kampala, Uganda. Participants: We surveyed 61 UCI staff: 29 nurses, 7 pharmacists, and 25 physicians. Methods: The survey contained 25 questions and 1 ranking exercise. We examined differences in responses by staff role. Results: All 60 respondents who answered the question had heard the term "antimicrobial resistance." Only 44 (73%) had heard the term "antimicrobial stewardship." Nurses were less likely than pharmacists or physicians to be familiar with either term. Also, 41 respondents (68%) felt that loss of antibiotic susceptibility is a major issue at UCI. Regarding barriers to diagnosing infections, 54 (93%) of 58 thought that it was difficult to obtain blood cultures and 48 (86%) of 56 thought that it was difficult to regularly measure temperatures. Conclusions: Although most recognized the term "antimicrobial resistance," fewer were familiar with the term "antimicrobial stewardship." Inappropriate antibiotic use was recognized as a contributor to antimicrobial resistance, but hand hygiene was underrecognized as a contributing factor. We identified numerous barriers to diagnosing infections, including the ability to obtain blood cultures and consistently monitor temperatures. Educating staff regarding antimicrobial selection, allocating resources for blood cultures, and implementing strategies to enhance fever detection will improve infection management.

Antibiotic prescribing knowledge: A brief survey of providers and staff at an ambulatory cancer center during Antibiotic Awareness Week 2019.

We surveyed healthcare professionals at a cancer center regarding their knowledge and perceptions of antibiotic use. Most knew the term "antimicrobial stewardship." Nurses and other staff were less likely than pharmacists or providers to answer knowledge-based questions correctly. Opportunities exist to improve antibiotic knowledge among cancer center staff.

Factors and Outcomes Related to the Use of Guideline-Recommended Antibiotics in Patients With Neutropenic Fever at the Uganda Cancer Institute.

BACKGROUND: Neutropenic fever (NF) is associated with significant morbidity and mortality for patients receiving cancer treatment in sub-Saharan Africa (sSA). However, the antibiotic management of NF in sub-Saharan Africa has not been well described. We evaluated the timing and selection of antibiotics for patients with NF at the Uganda Cancer Institute (UCI). METHODS: We conducted a retrospective chart review of adults with acute leukemia admitted to UCI from 1 January 2016 to 31 May 2017, who developed NF. For each NF event, we evaluated the association of clinical presentation and demographics with antibiotic selection as well as time to both initial and guideline-recommended antibiotics. We also evaluated the association between ordered antibiotics and the in-hospital case fatality ratio (CFR). RESULTS: Forty-nine NF events occurred among 39 patients. The time to initial antibiotic order was <1 day. Guideline-recommended antibiotics were ordered for 37 (75%) NF events. The median time to guideline-recommended antibiotics was 3 days. Fever at admission, a documented physical examination, and abdominal abnormalities were associated with a shorter time to initial and guideline-recommended antibiotics. The in-hospital CFR was 43%. There was no difference in in-hospital mortality when guideline-recommended antibiotics were ordered as compared to when non-guideline or no antibiotics were ordered (hazard ratio, 0.51 [95% confidence interval {CI}, .10-2.64] and 0.78 [95% CI, .20-2.96], respectively). CONCLUSIONS: Patients with acute leukemia and NF had delayed initiation of guideline-recommended antibiotics and a high CFR. Prospective studies are needed to determine optimal NF management in sub-Saharan Africa, including choice of antibiotics and timing of antibiotic initiation.

12 Tips for Engaging Medical Students in Health Communications.

This article was migrated. The article was marked as recommended. The proliferation of misinformation during the COVID-19 pandemic provides a clear example of the harms that can occur when medical professionals do not engage with the public regarding health topics. To address this need for accessible, accurate medical information, we taught medical students a COVID-19-specific curriculum tailored to sharing this information with the lay public via social media. Through active learning, students developed their understanding of disease-specific pathophysiology, prevention techniques, treatments, and public health interventions while practicing new skills in public communication as health professionals. After two cohorts completed the course, students' high-quality medical information about COVID-19 reached >100,000 viewers. To further broaden the impact, we shared the course curriculum through the Association of American Medical College (AAMC) iCollaborative. This curriculum provides a model for future engagement of medical students in health communication with lay audiences.

Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia.

Neutropenia is a common side effect of myelosuppressive chemotherapy and is associated with adverse outcomes. Early Warning Scores are used to identify at-risk patients and facilitate rapid clinical interventions. Since few Early Warning Scores have been validated in patients with neutropenia, we aimed to create predictive models and nomograms of fever, ICU transfer, and mortality in hospitalized neutropenic patients. DESIGN: Development of statistical prediction models and nomograms using data from a retrospective cohort study of hospitalized patients with neutropenia. SETTING: University of Virginia Medical Center, a tertiary-care academic medical center in Charlottesville, VA. PATIENTS: The derivation and validation cohorts included hospitalized adult patients with neutropenia who were admitted to the inpatient wards between October 2010 and January 2015, and April 2017 and April 2020, respectively. We defined neutropenia as an absolute neutrophil count of less than 500 cells/mm3. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The derivation cohort included 1,531 hospital admissions in patients with neutropenia. Fever, ICU transfer, and in-hospital mortality occurred in 955 admissions (62%), 297 admissions (19%), and 147 admissions (10%), respectively. In the derivation cohort, the internally validated area under the curves with 95% CI for the fever, ICU transfer, and mortality models were HYPERLINK "callto:0.74%20(0.67-0.84),%200.77"0.74 (0.67-0.84), 0.77 (0.67-0.86), and HYPERLINK "callto:0.95%20(0.0.87-1.0"0.95 (0.0.87-1.0), respectively. The validation cohort included 1,250 admissions in patients with neutropenia. In the validation cohort, the area under the curve (95% CI) for the fever, ICU transfer, and mortality models were HYPERLINK "callto:0.70%20(0.67-0.73),%200.78"0.70 (0.67-0.73), 0.78 (0.72-0.84), and HYPERLINK "callto:0.91%20(0.88-0.94"0.91 (0.88-0.94), respectively. Using these models, we developed clinically applicable nomograms which detected adverse events a median of 4.0-11.4 hours prior to onset. CONCLUSIONS: We created predictive models and nomograms for fever, ICU transfer, and mortality in patients with neutropenia. These models could be prospectively validated to detect high-risk patients and facilitate early clinical intervention to improve patient outcomes.