Prevalence of antibiotics prescription amongst patients with and without COVID-19 in low- and middle-income countries: a systematic review and meta-analysis.

Antimicrobial resistance (AMR) poses a substantial risk to public health. In low-income and middle-income (LMICs) nations, the impact of AMR is significantly more severe. The absence of data from low-income countries (LMICs) causes this topic to be frequently overlooked. Additionally, the COVID-19 pandemic could make the AMR issue even worse. Earlier guidelines recommended antibiotic use in patients with COVID-19, even in those without bacterial coinfection. This study aims to investigate the proportion of antibiotic prescriptions in LMICs among patients with and without coronavirus disease-2019 (COVID-19), the proportion of inappropriate antibiotics, and multi-antibiotic prescribing. We followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA). We retrieved data through online databases, including PubMed, Scopus, and ScienceDirect. Amongst COVID-19 patients, the meta-analytic estimate of antibiotic prescription was 0.80 (95% CI: 0.72-0.88), whereas antibiotic use among patients with non-COVID-19 infections was 0.54 (95% CI: 0.49-0.58). Half of those prescribed antibiotics (0.52, 95% CI: 0.32-0.72) are inappropriate prescriptions. In addition, we found that one-third of antibiotics prescriptions consisted of more than one antibiotic (0.32, 95% CI: 0.21-0.43). In conclusion, antibiotics are highly prescribed across LMICs, and their use is increased in patients with COVID-19. Amongst those prescriptions, inappropriate and multiple use was not uncommon. This study has several limitations, as it included two studies in an ambulatory setting, and some of the studies included in the analysis were conducted on a small scale. Nevertheless, our findings suggest that urgent action to improve prescribing practices is essential.

Prescribing Antibiotics in Public Primary Care Clinics in Singapore: A Retrospective Cohort Study.

BACKGROUND: Antibiotic prescription practices in primary care in Singapore have received little scholarly attention. In this study, we ascertained prescription prevalence and identified care gaps and predisposing factors. METHODS: A retrospective study was conducted on adults (>21 years old) at six public primary care clinics in Singapore. Prescriptions >14 days were excluded. Descriptive statistics were used to showcase the prevalence data. We used chi-square and logistic regression analyses to identify the factors affecting care gaps. RESULTS: A total of 141,944 (4.33%) oral and 108,357 (3.31%) topical antibiotics were prescribed for 3,278,562 visits from 2018 to 2021. There was a significant reduction in prescriptions (p < 0.01) before and after the pandemic, which was attributed to the 84% reduction in prescriptions for respiratory conditions. In 2020 to 2021, oral antibiotics were most prescribed for skin (37.7%), genitourinary (20.2%), and respiratory conditions (10.8%). Antibiotic use in the "Access" group (WHO AWaRe classification) improved from 85.6% (2018) to 92.1% (2021). Areas of improvement included a lack of documentation of reasons for antibiotic use, as well as inappropriate antibiotic prescription for skin conditions. CONCLUSION: There was a marked reduction in antibiotic prescriptions associated with the onset of the COVID-19 pandemic. Further studies could address the gaps identified here and evaluate private-sector primary care to inform antibiotic guidelines and the local development of stewardship programs.

Prescription of antibiotics by general practitioners for patients with a diagnosis of SARS- CoV-2 infection: Analysis of an electronic French health record.

OBJECTIVE: To define the factors associated with overprescription of antibiotics by general practitioners (GPs) for patients diagnosed with COVID-19 during the first wave of the pandemic. METHODS: Anonymised electronic prescribing records of 1370 GPs were analysed. Diagnosis and prescriptions were retrieved. The initiation rate by GP for 2020 was compared with 2017-2019. Prescribing habits of GPs who initiated antibiotics for > 10% of COVID-19 patients were compared with those who did not. Regional differences in prescribing habits of GPs who had consulted at least one COVID-19 patient were also analysed. RESULTS: For the March-April 2020 period, GPs who initiated antibiotics for > 10% of COVID-19 patients had more consultations than those who did not. They also more frequently prescribed antibiotics for non-COVID-19 patients consulting with rhinitis and broad-spectrum antibiotics for treating cystitis. Finally, GPs in the Île-de-France region saw more COVID-19 patients and more frequently initiated antibiotics. General practitioners in southern France had a higher but non-significant ratio of azithromycin initiation rate over total antibiotic initiation rate. CONCLUSION: This study identified a subset of GPs with overprescribing profiles for COVID-19 and other viral infections; they also tended to prescribe broad-spectrum antibiotics for a long duration. There were also regional differences concerning antibiotic initiation rates and the ratio of azithromycin prescribed. It will be necessary to evaluate the evolution of prescribing practices during subsequent waves.

Reduced burden of antibiotic prescription in an italian pediatric primary care clinic during the first wave of COVID-19 pandemic: a shot in the arm for antimicrobial resistance?

Rates of antibiotic-resistant bacteria have increased worldwide over recent years, but the Italian Institute of Health reported a disruption to this trend in 2021 compared with 2020. Children are often recipients of unnecessary antibiotic prescriptions, especially for respiratory tract infections (RTIs). During the initial phase of the COVID-19 pandemic, common RTIs substantially decreased, so it is conceivable that antibiotic prescriptions also reduced during this time. To test this hypothesis, we retrospectively collected data on all visits to a pediatric primary care clinic in Northern Italy from February 20, 2020 to June 2, 2020 and compared data with the same period in 2019. We evaluated the antibiotic prescription rate according to the diagnosis at discharge. While the total number of visits significantly decreased (1335 in 2020 vs. 4899 in 2019), there was only a slight reduction in the antibiotic prescription rate (1039 in 2019, 21.2%, vs. 272 in 2020, 20.4%). However, this corresponded to a 73.8% decrease in the total number of antibiotic prescriptions, with antibiotics for RTI accounting for 69% of the total reduction. It is possible that, at the larger scale, reduced antibiotic prescription in pediatrics during the COVID-19 pandemic resulted in a slight reduction in antimicrobial resistance.

Prescription Pattern for Antimicrobials and the Potential Predictors for Antibiotics among Patients with COVID-19: A Retrospective Observational Study

Introduction: Long-term repercussions of Coronavirus Disease-2019 (COVID-19) on antimicrobial resistance have been raised as a grave concern due to the rampant use of antibiotics in the management of COVID-19. As per meta-analysis, the prevalence of antibiotic prescribing was 74.6% which was significantly higher than the estimated prevalence of bacterial co-infection. World Health Organisation (WHO) recommended that antibiotic therapy should not be used in patients with mild/moderate COVID-19 unless there is any bacterial suspicion. Also, the guidelines laid down by the Ministry of Health and Family Welfare, Government of India, does not recommend systematic empiric antibiotic therapy in patients hospitalised with COVID-19. Despite not being recommended, antimicrobials are still given in clinical practice. Aim(s): To analyse prescriptions for antimicrobials and to identify potential predictors for antibiotic prescription. Material(s) and Method(s): A retrospective observational study was conducted at a tertiary care teaching institute. Data (demographic profile, co-morbidities, disease category, prescribed antimicrobials, laboratory investigations, and duration of hospital stay) were collected from case files of patients with laboratory-confirmed Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) infection. These patients were admitted in the institute from January 2021 to May 2021. Logistic regression was used to analyse factors associated with the empirical use of antimicrobial agents. Result(s): A total of 184 case files were analysed. The mean age of patients was 55.84+/-15.72 years, with a male preponderance (70.10%). Among antimicrobials, antivirals were prescribed in 159 (86.41%) patients, and antibiotics in 152 patients (82.6%). Antivirals prescribed include Remdesivir [109(68.55%)] and Favipiravir [70(44.02%)]. Ceftriaxone was found to be the highest prescribed antibiotic, with a median duration of administration of six days. An association was found between disease severity and CRP level with antibiotic prescription. On multivariable analysis, the odds of receiving antibiotics were 6.7 times higher in patients with severe disease. Conclusion(s): More than 80% of COVID-19 patients received antibiotics. Duration of hospital stay was similar among patients whether they received antibiotics or not. Disease severity and raised CRP level were strong predictors for prescribing antibiotics for COVID-19. Copyright © 2022 Journal of Clinical and Diagnostic Research. All rights reserved.

Regional Antimicrobial Stewardship Program in a Provincial Medical Zone in Japan: a Multifaceted Approach.

Antimicrobial resistance (AMR) is a threat to patient health. However, data to optimize antimicrobial use are limited. Furthermore, reducing antibiotic use raises concerns regarding patient safety. The effectiveness of antibiotics in reducing the prevalence of AMR is controversial. Researchers at the Japanese Red Cross Ishinomaki Hospital (JRCIH), the only tertiary care hospital in the medical zone, along with local medical and pharmacy associations and public health centers have been leading the AMR control program since 2018. The program involves lectures aimed at optimizing antimicrobial use, regular publication of surveillance data of drug-resistant strains at the JRCIH, and presentation of first-line treatments for community-acquired infections. The delivery of oral antimicrobial agents across the region in 2020 was 28.7% lower than that in 2013, with delivery of cephalosporins, quinolones, and macrolides decreasing by 34.8%, 46.8%, and 56.0%, respectively. Despite these reductions, there has been no associated increase in the number of patients with severe infectious diseases admitted to the JRCIH. The rates of representative drug-resistant bacterial strains, such as extended-spectrum beta-lactamase-producing Escherichia coli and methicillin-resistant Staphylococcus aureus, decreased by half. Herein, we demonstrated the potential of collaborative efforts to optimize antimicrobial agent use and reduce the AMR prevalence without compromising patient safety.

Antibiotic prescription practices amongst veterinarians in Nigeria.

The high rate of antibiotic resistance constitutes a global threat to the continuous use of these drugs, because of increasing treatment failures. The aim of this study was to survey antibiotic prescription practices of veterinarians and the possible contribution to antimicrobial resistance (AMR) and antimicrobial stewardship (AMS) in Nigeria during the COVID era. This was a cross-sectional study that used a 33-question survey questionnaire administered to registered veterinarians in Nigeria. The study was both online survey and hard copy administered during the annual meeting of the veterinarians from July to October 2021. Descriptive statistics, bivariate analysis using Chi-square test were also done to analyze the results, while a two-tailed P-value of <0.05 at 95% confidence level was considered statistically significant. IBM SPSS Version 26 was used to analyze the data. A total of 172 respondents completed the online and hard copy questionnaire. Majority of the respondents engaged majorly in mixed veterinary practice (72.1%). A total of 53.5% were aware of the country's policy concerning antibiotic prescription, while majority (64.5%) do not do culture and sensitivity before antibiotic prescription. Majority (34.3%) felt that the risk of potential adverse drug reaction could affect their decision when choosing to prescribe an antibiotic to the owner. Majority (51.2%) felt that some antibiotics were over prescribed, while 26.7% opined that all antibiotics were appropriately prescribed. To improve antibiotic use and practice amongst veterinarians in Nigeria, dependence on laboratory services for antibiotic prescription, enforcement of national guidelines and monitoring of antibiotic prescription amongst the veterinarians is essential to curb over-prescription and strengthen antimicrobial stewardship.

Bacterial coinfection and antimicrobial use among patients with COVID-19 infection in a referral center in the Philippines: A retrospective cohort study.

Objective: This study aimed to describe community-acquired bacterial coinfection (CAI) and antimicrobial use among COVID-19 patients. Methods: Electronic records were retrospectively reviewed, and clinical data, laboratory data, antibiotic use, and outcomes of patients with and without CAI were compared. Results: Of 1116 patients, 55.1% received antibiotics within 48 hours, but only 66 (5.9%) had documented CAI, mainly respiratory (40/66, 60.6%). Patients with CAI were more likely to present with myalgia (p = 0.02), nausea/vomiting (p = 0.014), altered sensorium (p = 0.007), have a qSOFA ≥ 2 (p = 0.016), or require vasopressor support (p < 0.0001). Patients with CAI also had higher median WBC count (10 vs 7.6 cells/mm3), and higher levels of procalcitonin (0.55 vs 0.13, p = 0.0003) and ferritin (872 vs 550, p = 0.028). Blood cultures were drawn for almost half of the patients (519, 46.5%) but were positive in only a few cases (30/519, 5.8%). Prescribing frequency was highest at the start and declined only slightly over time. The mortality of those with CAI (48.5%) was higher compared with those without CAI (14.3%). Conclusion: Overall CAI rate was low (5.9%) and antimicrobial use disproportionately high (55.0%), varying little over time. The mortality rate of coinfected patients was high. Certain parameters can be used to better identify those with CAI and those who need blood cultures.

Community antibiotic prescriptions during COVID-19 era: a population-based cohort study among adults.

OBJECTIVES: This study investigated the association between the COVID-19 pandemic and antibiotic prescription ratios and the determinants of antibiotic prescription in the community. METHODS: The study was based on a retrospective population cohort of adults in a community setting. Antibiotic prescription ratios from March 1, 2020 to February 28, 2021 (COVID-19 period) were compared to similar months in previous years. Differences in visit type, infectious disease-related visit, and antibiotic prescription ratios during these visits were compared. A logistic regression model was used to identify independent determinants of antibiotic prescription during the study period. RESULTS: The cohort included almost 3 million individuals with more than 33 million community medical encounters per year. In the COVID-19 period, the antibiotic prescription ratio decreased 45% (from 34.2 prescriptions/100 patients to 19.1/100) compared to the previous year. Visits due to an infectious disease etiology decreased by 10% and prescriptions per visit decreased by 39% (from 1 034 425 prescriptions/3 764 235 infectious disease visits to 587 379/3 426 451 respectively). This decrease was observed in both sexes and all age groups. Telemedicine visits were characterized by a 10% lower prescription ratio compared to in-person visits. Thus, a threefold increase in telemedicine visits resulted in a further decrease in prescription ratios. The COVID-19 period was independently associated with a decrease in antibiotic prescription, with an OR of 0.852 (95% CI 0.848-0.857). DISCUSSION: We describe a significant decrease in antibiotic prescription ratios during the COVID-19 periods that was likely related to a decrease in the incidence of certain infectious diseases, the transfer to telemedicine, and a change in prescription practices among community-based physicians.