Excess Mortality Attributable to Hospital-Acquired Antimicrobial-Resistant Infections: A 2-Year Prospective Surveillance Study in Northeast Thailand

Author:

Lim Cherry12ORCID,Teparrukkul Prapit3,Nuntalohit Somboon4,Boonsong Somsamai4,Nilsakul Jiraphorn5,Srisamang Pramot6,Sartorius Benn27,White Nicholas J12,Day Nicholas P J12,Cooper Ben S12,Limmathurotsakul Direk128ORCID

Affiliation:

1. Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University , Bangkok , Thailand

2. Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford , Oxford , United Kingdom

3. Department of Medicine, Sunpasitthiprasong Hospital , Ubon Ratchathani , Thailand

4. Infectious Disease Control Department, Sunpasitthiprasong Hospital , Ubon Ratchathani , Thailand

5. Microbiology Laboratory, Sunpasitthiprasong Hospital , Ubon Ratchathani , Thailand

6. Department of Pediatrics, Sunpasitthiprasong Hospital , Ubon Ratchathani , Thailand

7. Department of Health Metrics Sciences, School of Medicine, University of Washington , Seattle, Washington , USA

8. Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University , Bangkok , Thailand

Abstract

Abstract Background Quantifying the excess mortality attributable to antimicrobial-resistant (AMR) bacterial infections is important for assessing the potential benefit of preventive interventions and for prioritization of resources. However, there are few data from low- and middle-income countries. Methods We conducted a 2-year prospective surveillance study to estimate the excess mortality attributable to AMR infections for all types of hospital-acquired infection (HAI), and included bacterial species that were both locally relevant and included in the World Health Organization priority list. Twenty-eight-day mortality was measured. Excess mortality and population attributable fraction (PAF) of mortality caused by AMR infections compared to antimicrobial-susceptible (AMS) infections, adjusted for predefined confounders, were calculated. Results We enrolled 2043 patients with HAIs. The crude 28-day mortality of patients with AMR and AMS infections was 35.5% (491/1385) and 23.1% (152/658), respectively. After adjusting for prespecified confounders, the estimated excess mortality attributable to AMR infections was 7.7 (95% confidence interval [CI], 2.2–13.2) percentage points. This suggests that 106 (95% CI, 30–182) deaths among 1385 patients with AMR infections might have been prevented if all of the AMR infections in this study were AMS infections. The overall PAF was 16.3% (95% CI, 1.2%–29.1%). Among the bacteria under evaluation, carbapenem-resistant Acinetobacter baumannii was responsible for the largest number of excess deaths. Among all types of infection, urinary tract infections were associated with the highest number of excess deaths, followed by lower respiratory tract infections and bloodstream infections. Conclusions Estimating and monitoring excess mortality attributable to AMR infections should be included in national action plans to prioritize targets of preventive interventions. Clinical Trials Registration NCT03411538.

Funder

Wellcome Trust

UK Medical Research Council and UK Department for International Development

Mahidol Oxford Tropical Medicine Research Programme

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

Reference28 articles.

1. GLASS method for estimating attributable mortality of antimicrobial resistant bloodstream infections;World Health Organization,2020

2. Epidemiology and burden of multidrug-resistant bacterial infection in a developing country;Lim;Elife,2016

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