Trend and patterns in the antibiotics prescription for the acute otitis media in Korean children

A Systematic Review and Meta-Analysis of the Efficacy of Antimicrobial Chemoprophylaxis for Recurrent Acute Otitis Media in Children

OBJECTIVES

Acute otitis media (AOM) is a common childhood infection. Recurrent AOM affects a subset of children, resulting in an adverse impact on quality of life, socioeconomic disadvantage, and risk of long-term sequelae. Antimicrobial chemoprophylaxis is used in some settings but is increasingly controversial due to an awareness of adverse long-term effects and contribution to global antibiotic resistance.

DESIGN AND SETTING

A comprehensive literature search was undertaken using Medline (1946-October 2023) and Embase (1974-October 2023). The primary aim was to assess the efficacy of antimicrobial chemoprophylaxis on AOM episodes in children < 18 years of age. Bias and quality assessment was performed. Dichotomous data were analysed using risk ratio with 95% confidence intervals. Meta-analysis was carried out using random-effects models for pooled analysis, independent of heterogeneity. Heterogeneity was assessed using the I2 statistic.

MAIN OUTCOME MEASURES

The effect of antimicrobial chemoprophylaxis in children with rAOM on the number of individual AOM episodes.

SECONDARY OUTCOMES

assessment of antimicrobial agents and outcomes in children with risk factors.

RESULTS

Assessment of qualitative data was performed on 20 studies (n = 2210). No controlled trials were identified post-multivalent pneumococcal conjugate vaccine (PCV) introduction, restricting current generalisability. Quantitative meta-analysis on nine pre-PCV studies (n = 1087) demonstrated antimicrobial chemoprophylaxis reduced any episode of AOM with a risk ratio 0.59 (95% CI 0.45-0.77).

CONCLUSION

Families and clinicians must balance marginal short-medium term benefit (based on pre-PCV data), and the potential for adverse effects to that individual, and the societal risk of antimicrobial resistance with prolonged antibiotic use.

Air pollutants, seasonal influenza, and acute otitis media in children: a population-based analysis using 22-year hospitalization data

BACKGROUND

Acute otitis media (AOM) is a prevalent childhood acute illness, with 13.6 million pediatric office visits annually, often stemming from upper respiratory tract infections (URI) and affected by environmental factors like air pollution and cold seasons.

METHODS

Herein, we made use of territory-wide hospitalization data to investigate the relationships between meteorological factors, air pollutants, influenza infection, and AOM for children observed from 1998 to 2019 in Hong Kong. Quasi-Poisson generalized additive model, combined with a distributed-lag non-linear model, was employed to examine the relationship between weekly AOM admissions in children and weekly influenza-like illness-positive (ILI +) rates, as well as air pollutants (i.e., oxidant gases, sulfur dioxide, and fine particulate matter), while accounting for meteorological variations.

RESULTS

There were 21,224 hospital admissions due to AOM for children aged ≤ 15 years throughout a 22-year period. The cumulative adjusted relative risks (ARR) of AOM were 1.15 (95% CI, 1.04-1.28) and 1.07 (95% CI, 0.97-1.18) at the 95th percentile concentration of oxidant gases (65.9 ppm) and fine particulate matter (62.2 μg/m3) respectively, with reference set to their medians of concentration. The ARRs exhibited a monotone increasing trend for all-type and type-specific ILI + rates. Setting the reference to zero, the cumulative ARRs of AOM rose to 1.42 (95% CI, 1.29-1.56) at the 95th percentile of ILI + Total rate, and to 1.07 (95% CI, 1.01-1.14), 1.19 (95% CI, 1.11-1.27), and 1.22 (95% CI, 1.13-1.32) for ILI + A/H1N1, A/H3N2, and B, respectively.

CONCLUSIONS

Our findings suggested that policy on air pollution control and influenza vaccination for children need to be implemented, which might have significant implications for preventing AOM in children.

Outpatient Antibiotic Prescribing for 357,390 Children With Otitis Media

AIM

This study aimed to evaluate antibiotic prescriptions for children with otitis media (OM) in a large nationwide network of private clinics between 2014 and 2020. Special focus was paid to amoxicillin and amoxicillin-clavulanic acid prescriptions, which the national guidelines recommend for first-line drugs. We also focused on macrolides, which are commonly prescribed for respiratory tract infections in children but are not appropriate for OM cases.

METHODS

The data were obtained from the electronic health records of about 250,000 annual visits in <18 years old children. The collected variables were all diagnoses, age, visit year, doctor's specialty, and prescribed antibiotics. Children with OM and upper respiratory tract infections were included, but those with lower respiratory tract infections were excluded.

RESULTS

The number of children with OM was 357,390 (55.2% boys). Antibiotics were prescribed in 44.8% of cases, with the lowest proportion (44.1%) being in <2 years old children. The overall prescription rate decreased from 48.3% in 2014 to 41.4% in 2020. The rates were 19.3% and 18.1% for amoxicillin and 12.6% and 13.2% for amoxicillin-clavulanic acid, respectively. Macrolide prescriptions were reduced from 7.5% to 3.5%. Pediatricians prescribed antibiotics for 38.8%, general practitioners for 54.0% and ear, nose and throat physicians for 39.8% of children with OM.

CONCLUSION

The selection of antibiotics for OM, when prescribed, was according to the recommendations (amoxicillin or amoxicillin-clavulanic acid) in 80.1% of pediatricians, 67.0% of general practitioners and 55.1% of ear, nose and throat physicians.

Prescribed medicine use and extent of off-label use according to age in a nationwide sample of Australian children

BACKGROUND

Medicine prescribing for children is impacted by a lack of paediatric-specific dosing, efficacy and safety data for many medicines.

OBJECTIVES

To estimate the prevalence of medicine use among children and the rate of 'off-label' prescribing according to age at dispensing.

METHODS

We used population-wide primarily outpatient dispensing claims data for 15% of Australian children (0-17 years), 2013-2017 (n = 840,190). We estimated prescribed medicine use and 'off-label' medicine use according to the child's age (<1 year, 1-5 years, 6-11 years, 12-17 years) defined as medicines without age-appropriate dose recommendations in regulator-approved product information. Within off-label medicines, we also identified medicines with and without age-specific dose recommendations in a national prescribing guide, the Australian Medicines Handbook Children's Dosing Companion (AMH CDC).

RESULTS

The overall dispensing rate was 2.0 dispensings per child per year. The medicines with the highest average yearly prevalence were systemic antibiotics (435.3 per 1000 children), greatest in children 1-5 years (546.9 per 1000). Other common medicine classes were systemic corticosteroids (92.7 per 1000), respiratory medicines (91.2 per 1000), acid-suppressing medicines in children <1 year (47.2 per 1000), antidepressants in children 12-17 years (40.3 per 1000) and psychostimulants in children 6-11 years (27.0 per 1000). We identified 12.2% of dispensings as off-label based on age, but 66.3% of these had age-specific dosing recommendations in the AMH CDC. Among children <1 year, off-label dispensings were commonly acid-suppressing medicines (35.5%) and topical hydrocortisone (33.1%); in children 6-11 years, off-label prescribing of clonidine (16.0%) and risperidone (13.1%) was common. Off-label dispensings were more likely to be prescribed by a specialist (21.7%) than on-label dispensings (7.5%).

CONCLUSIONS

Prescribed medicine use is common in children, with off-label dispensings for medicines without paediatric-specific dosing guidelines concentrated in classes such as acid-suppressing medicines and psychotropics. Our findings highlight a need for better evidence to support best-practice prescribing.

Antibiotic prescription policy for acute otitis media: do we follow the guidelines?

BACKGROUND

Acute otitis media (AOM) is a common cause for antibiotic prescription. Most guidelines endorse abstaining from immediate antibiotic treatment ('watchful waiting', WW) in mild-moderate episodes. We studied adherence rates to the latest AOM guidelines (2013), in terms of antibiotic type and prescription options.

METHODS

In this population-based study, AOM episodes were identified in Clalit Health Services-insured children aged 0-10 years between 2011 and 2018, using a data-sharing platform. After identifying the index, prescription and issuing dates for antibiotics for each AOM episode, treatment was categorized as immediate (≤2 days after diagnosis) or WW (antibiotic not prescribed/issued; prescribed ≤2 days after diagnosis but issued on Days 2-7; or prescribed/issued on Days 2-7). Guideline adherence was measured according to age.

RESULTS

Of the 491 106 episodes, 361 518 (73.6%) were treated with antibiotics. Following the 2013 guidelines, the ratio of episodes in children aged ≤6 months that were adherent (immediate treatment) was higher (OR = 1.22; 95% CI 1.15-1.29; P < 0.001), whereas the adherent episode ratio for children aged 6-24 months and 2-10 years (WW) was lower (OR = 0.87; 95% CI 0.85-0.88 and OR = 0.94; 95% CI 0.92-0.96, respectively; P < 0.001). Antibiotic prescription rates after 2013 for children aged ≤6 months were not different (OR = 1.03; 95% CI 0.96-1.1; P = 0.4), but were higher in children aged 6-24 months and 2-10 years (OR = 1.07; 95% CI 1.05-1.09; P < 0.001 and OR = 1.02; 95% CI 1.01-1.04; P = 0.015, respectively). Amoxicillin was the most common antibiotic, administered in 75.6% of episodes. Azithromycin was most commonly associated with treatment failure (6.6%).

CONCLUSIONS

Improved adherence to the 2013 guidelines was observed only in children aged ≤6 months and over-treatment with antibiotics was still high.

Improvement in the appropriate antimicrobial usage for treating pediatric acute otitis media in Japan: A descriptive study using nation-wide electronic medical record data

OBJECTIVES

We investigated changes in prescriptions for antimicrobial agents to treat children with acute otitis media (AOM).

METHODS

A descriptive study using an electronic medical record database. Of 199,896 patients enrolled between 2001 and 2019, a total of 10,797 were aged <16 years and had AOM as their first and primary disease (overall pediatric AOM cohort). In addition, 4786 patients with AOM without other comorbidities (pediatric AOM cohort) were included.

RESULTS

In the overall pediatric AOM cohort, the age distribution ranged from 11% to 23% for those younger than 2 years and from 66% to 77% for those younger than 6 years, with no change over time. In the pediatric AOM cohort, the antimicrobial prescription rate was 91% in 2001 but declined to 40% by 2019. Antimicrobial use increased from 0% to 75% for penicillins, whereas use of cephalosporins decreased from 84% to 10%. The prescription rate for acetaminophen alone increased from 33% to 58%. There were no differences in the incidence of adverse reactions among the prescribed antimicrobials.

CONCLUSIONS

Due to education efforts and promotion of the proper use of antimicrobials through means such as the Clinical practice guidelines for the diagnosis and management of acute otitis media in children (2006) and the Manual of Antimicrobial Stewardship (2016), a change in the use of antimicrobials occurred, leading to a trend to more proper use of these agents.

Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm

BACKGROUND

Otitis media (OM) is the infection and inflammation of the mucous membrane covering the Eustachian with the airy cavities of the middle ear and temporal bone. OM is also one of the most common ailments. In clinical practice, the diagnosis of OM is carried out by visual inspection of otoscope images. This vulnerable process is subjective and error-prone.

METHODS

In this study, a novel computer-aided decision support model based on the convolutional neural network (CNN) has been developed. To improve the generalized ability of the proposed model, a combination of the channel and spatial model (CBAM), residual blocks, and hypercolumn technique is embedded into the proposed model. All experiments were performed on an open-access tympanic membrane dataset that consists of 956 otoscopes images collected into five classes.

RESULTS

The proposed model yielded satisfactory classification achievement. The model ensured an overall accuracy of 98.26%, sensitivity of 97.68%, and specificity of 99.30%. The proposed model produced rather superior results compared to the pre-trained CNNs such as AlexNet, VGG-Nets, GoogLeNet, and ResNets. Consequently, this study points out that the CNN model equipped with the advanced image processing techniques is useful for OM diagnosis. The proposed model may help to field specialists in achieving objective and repeatable results, decreasing misdiagnosis rate, and supporting the decision-making processes.