| Literature DB >> 33402841 |
Md Anwarul Azim Majumder1, Sayeeda Rahman2, Damian Cohall1, Ambadasu Bharatha1, Keerti Singh1, Mainul Haque3, Marquita Gittens-St Hilaire1.
Abstract
Antimicrobial resistance (AMR) is a serious threat to global public health. It increases morbidity and mortality, and is associated with high economic costs due to its health care burden. Infections with multidrug-resistant (MDR) bacteria also have substantial implications on clinical and economic outcomes. Moreover, increased indiscriminate use of antibiotics during the COVID-19 pandemic will heighten bacterial resistance and ultimately lead to more deaths. This review highlights AMR's scale and consequences, the importance, and implications of an antimicrobial stewardship program (ASP) to fight resistance and protect global health. Antimicrobial stewardship (AMS), an organizational or system-wide health-care strategy, is designed to promote, improve, monitor, and evaluate the rational use of antimicrobials to preserve their future effectiveness, along with the promotion and protection of public health. ASP has been very successful in promoting antimicrobials' appropriate use by implementing evidence-based interventions. The "One Health" approach, a holistic and multisectoral approach, is also needed to address AMR's rising threat. AMS practices, principles, and interventions are critical steps towards containing and mitigating AMR. Evidence-based policies must guide the "One Health" approach, vaccination protocols, health professionals' education, and the public's awareness about AMR.Entities:
Keywords: One Health; antibiotics; antimicrobial resistance; antimicrobial stewardship program; global health; multidrug-resistant
Year: 2020 PMID: 33402841 PMCID: PMC7778387 DOI: 10.2147/IDR.S290835
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Glass Report – Highlights of Reported Resistance
| 1. High rates of AMR observed against common bacterial infections |
| 2. Median frequency of resistance in pathogens isolated from patients with bloodstream infections |
| i. Methicillin-resistant |
| ii. |
| iii. |
| iv. |
| 3. Median resistance to ciprofloxacin in urinary tract infections |
| i. 43.29% (IQR 23.8–46.4) for |
| ii. 38.1% (IQR 8.41–63.53) for |
Note: Data from World Health Organization.11
Impact of Antimicrobial Resistance in Health Care Systems
| Organisms | Threat Level | Estimated Cases in Hospitalized Patients (2017) | Estimated Deaths (2017) | Estimated Attributable Healthcare Costs (2017) US |
|---|---|---|---|---|
| Carbapenem-resistant | Urgent | 8,500 | 700 | $281M |
| Urgent | 223,900 | 12,800 | $1B | |
| Carbapenem-Resistant Enterobacteriaceae | Urgent | 13,100 | 1,100 | $130M |
| Drug-Resistant | Urgent | 550,000 | 1.14M | $133.4M |
| Vancomycin-Resistant Enterococci (VRE) | Serious | 54,500 | 5,400 | $539M |
| Multidrug-Resistant | Serious | 32,600 | 2,700 | $767M |
| Methicillin-Resistant | Serious | 323,700 | 10,600 | $1.7B |
| Extended-Spectrum Beta-Lactamase (ESBL) Producing Enterobacteriaceae | Serious | 197,400 | 9,100 | $1.2B |
| Drug-Resistant Tuberculosis (Tb) | Serious | 847 | 62 | $164,000 Per MDR case |
Note: Data from Centers for Disease Control and Prevention.19
Core Elements of the Antibiotic Stewardship Program
Leadership commitment towards necessary human, financial, and information technology resources. |
Accountability through a single physician/pharmacist leader for program management and outcomes. |
Drug expertise through an only pharmacy leader to help lead implementation efforts to improve antibiotic use. |
Action to implement interventions, such as prospective audit and feedback or preauthorization, to improve antibiotic use. |
Tracking prescription, the impact of interventions, resistance patterns, and other important outcomes. |
Reporting prescription and resistance information directly to prescribers, pharmacists, nurses, and hospital leadership. |
Education for health care professionals (prescribers, pharmacists, nurses) and patients about adverse reactions from antibiotics, antibiotic resistance, and optimal prescribing. |
Note: Data from Centers for Disease Control and Prevention.71
Antimicrobial Stewardship Aligns with the 10 Essential Services of Public Health
Antimicrobial susceptibility patterns and antimicrobial utilization trends monitor and detect at the national, state, regional, and community levels. |
Surveillance of antimicrobial susceptibility across nations, states, regions, and communities. |
The provision of information through education empowers patients, healthcare providers, and other agencies on appropriate antimicrobial use. |
Collaborate with the community’s organization, such as non-governmental and governmental organizations geared towards patient safety regionally and nationally, hospitals, long-term care facilities, and healthcare systems in promoting antimicrobial stewardship strategies across regions, particularly with shared patient populations. |
Identify and share best practices and policies in AMS widely. |
Provide advocacy initiatives for promoting legislation to improve patient safety, reduce exposure, and develop resistant infections. |
Establish linkages amongst healthcare entities to enhance AMS across regions. |
Ensure effective ASP is established within healthcare facilities. |
Monitor and evaluate ASP towards improvement in healthcare facilities. |
The creation of innovative research solutions to obstacles in AMS implementation. |
Note: Data from these studies.74,81,82
Types of Stewardship Interventions
Education and guidelines |
Formulary restrictions |
Intravenous to oral conversion |
Intravenous batching |
Therapeutic substitutions |
Antibiotic timeout |
Antimicrobial cycling |
Note: Copyright © 2020. Pharmacy Times. Reproduced from Pharmacy Times. Antimicrobial Stewardship: A Primer for Hospital Pharmacists. Available from: .72
Figure 1Core elements of ASP to optimize the treatment of infections and reduce adverse events associated with antibiotic use.
Impact of ASPs on Antibiotic Usage, Microbiological, Clinical, and Financial Outcomes
| Study Reference No. | Countries | Settings, Design, Time, and Health Personnel Involved | Interventions | Outcome Measured | Impact |
|---|---|---|---|---|---|
| Wang et al (2019) | China | Tertiary hospital. | Multi-aspect interventions: activity program, performance management, and training. | Antibiotic prescriptions, the intensity of consumption, antibiotic prophylaxis, and resistance rates | ↓Prescriptions: outpatients - 19.38% to 13.21%, inpatients −64.34% to 34.65%. |
| Xiao et al (2020) | China | Secondary and tertiary hospitals | AMS campaign | Antibiotic prescriptions, intensity of consumption, antibiotic expense, and resistance rates | ↓Prescription: outpatients - 19.5% to 8.5%; surgical patients - 97.9% to 38.3%. |
| Mardani et al (2020) | Iran | Tertiary teaching hospitals. | AMS educational programs | Antibiotic prescriptions, the occurrence of CDI, and positive MDR cases | ↓Prescriptiong: 22,464 to 17,262 g. |
| Onorato et al (2020) | Italy | Intensive care units (ICUs) of a teaching hospital. | Antibiotic prescriptions, incidence of BSI, hospital mortality rate, mean LOS, and antibiotic expense. | ↓Prescription: 324.8 DDD/100 PD | |
| Savoldi et al (2020) | Germany | Prospective quasi-experimental, Interrupted time-series study. | Non-restrictive ASP, 3 phases: 1-year pre-intervention, 2-year multifaceted intervention, and one year of post-intervention. | Antibiotic prescriptions, antibiotic expense, mean LOS, CDI incidence rate, and mortality in the patients’ group were admitted from ED to medical wards. | ↓Prescription: 31.1% to 7.2% DDD/100 PD. |
| Singh et al (2018) | India | Tertiary teaching hospital. | Post-prescriptive audit and establishment of institutional guidelines | Antibiotic prescriptions, antibiotic expense, compliance with ASP Recommendations | ↓Prescription (DDD/100 PD). |
| Wee et al (2020) | Singapore | Tertiary teaching hospital. | Prospective audit and feedback strategy | Adherence to ASP recommendations | ↑Adherence: 81.9% (5758/7028) |
| Abubakar et al (2019) | Nigeria | Tertiary hospitals. | Development of a protocol, educational meeting and audit and feedback | Antibiotic prescriptions, the intensity of consumption, antibiotic expense, and resistance rates | ↓Prescription: 19.1% |
| Brink et al (2017) | South Africa | Private hospitals. | Prospective audit and feedback for perioperative antibiotic prophylaxis | SSI and compliance. | ↑Compliance: 66.8% to 83.3% (95% CI 80.8–85.8). |
| Horikoshi et al (2017) | Japan | Tokyo Metropolitan Children’s Medical Center. | Computerized preauthorization and a prospective audit, an electronic chart-based drug ordering system | DOT in the post-intervention period, the resistance rate, and the correlation between DOT and resistance rates, average days of hospitalization, all-cause mortality, and infection-related mortality in the pre- and post-intervention periods. | ↓DOTm in the post-intervention period: 59.3% |
| D’Agata et al (2018) | USA | Outpatient dialysis facilities. | ASP | Rates of antimicrobial use per 100 patient months, rates of use for specific antimicrobials or antimicrobial groups. | ↓Antimicrobial doses per 100 patient months: 6% |
Notes: cE. coli and P. aeruginosa to fluoroquinolones. eE. coli and K. pneumoniae to carbapenems. fCarbapenem-resistant Pseudomonas aeruginosa isolates. gMeropenem prescriptions. hClostridium difficile infections. ↑: Increase. ↓: Decrease.
Abbreviations: aPD, patient-days; bDDD, defined daily doses; dMRSA, methicillin-resistant Staphylococcus aureus; iMDR, multidrug resistance; jBSI, bloodstream infections caused by multidrug-resistant (MDR) organisms; kLoS, length of stay; lSSI, surgical site infections; mDOT, day of therapy.