Israel Medical Association Journal

Background: Group A Streptococcus (GAS) is the predominant bacterial pathogen of pharyngitis in children. However, distinguishing GAS from viral pharyngitis is sometimes difficult. Unnecessary antibiotic use contributes to unwanted side effects, such as allergic reactions and diarrhea. It also may increase antibiotic resistance. 

Objectives: To evaluate the effect of a machine learning algorithm on the clinical evaluation of bacterial pharyngitis in children.

Methods: We assessed 54 children aged 2–17 years who presented to a primary healthcare clinic with a sore throat and fever over 38°C from 1 November 2021 to 30 April 2022. All children were tested with a streptococcal rapid antigen detection test (RADT). If negative, a throat culture was performed. Children with a positive RADT or throat culture were considered GAS-positive and treated antibiotically for 10 days, as per guidelines. Children with negative RADT tests throat cultures were considered positive for viral pharyngitis. The children were allocated into two groups: Group A streptococcal pharyngitis (GAS-P) (n=36) and viral pharyngitis (n=18). All patients underwent a McIsaac score evaluation. A linear support vector machine algorithm was used for classification.

Results: The machine learning algorithm resulted in a positive predictive value of 80.6 % (27 of 36) for GAS-P infection. The false discovery rates for GAS-P infection were 19.4 % (7 of 36).

Conclusions: Applying the machine-learning strategy resulted in a high positive predictive value for the detection of streptococcal pharyngitis and can contribute as a medical decision aid in the diagnosis and treatment of GAS-P.

Background: Group A Streptococcus (GAS), the predominant bacterial pathogen of pharyngitis, is sometimes difficult to distinguish clinically from viral pharyngitis. Despite the high prevalence of viral pharyngitis in children, antibiotic treatment is common.

Objective: To investigate the effectiveness of an antibiotic stewardship program (ASP) on antibiotic prescription in children with GAS pharyngitis (GAS-P) at a large pediatric community clinic.

Methods: Antibiotic prescription data were collected from October 2016 to March 2017 (pre-intervention period) and from October 2017 to March 2018 (post-intervention period). The intervention was a one-day seminar for primary care pediatricians on the diagnosis and treatment of GAS-P in children according to national guidelines.

Results: The overall prevalence of testing differed between the two time periods. There was a decrease in children who did not undergo any testing (from 68% to 63%), an increase in streptococcal rapid antigen detection testing (28% to 32%), and a slight increase in throat cultures (3% to 4%) (p = 0.02). There was no change in the types of antibiotics prescribed before and after the intervention (p = 0.152).

Conclusions: The ASP resulted in a slight reduction in the percentage of children who did not undergo laboratory testing for GAS-P and a slight reduction in the percentage of children who received antibiotic treatment. The ASP did not reduce the use of broad-spectrum antibiotics and macrolides.

Background: On 18 March 2020, the Israeli Health Ministry issued lockdown orders to mitigate the spread of coronavirus disease 2019 (COVID-19).

Objectives: To assess the association of lockdown orders on telemedicine practice and the effect of social distancing on infectious diseases in a primary care community pediatric clinic as well as the rate of referrals to emergency departments (ED) and trends of hospitalization.

Methods: Investigators performed a retrospective secondary data analysis that screened for visits in a large pediatric center from 1 January to 31 May 2020. Total visits were compared from January to December 2020 during the same period in 2019. Visits were coded during the first lockdown as being via telemedicine or in-person, and whether they resulted in ED referral or hospitalization. Month-to-month comparisons were performed as well as percent change from the previous year.

Results: There was a sharp decline of in-person visits (24%) and an increase in telemedicine consultations (76%) during the first lockdown (p < 0.001). When the lockdown restrictions were eased, there was a rebound of 50% in-person visits (p < 0.05). There was a profound decrease of visits for common infectious diseases during the lockdown period. Substantial decreases were noted for overall visits, ED referrals, and hospitalizations in 2020 compared to 2019.

Conclusions: COVID-19 had a major impact on primary care clinics, resulting in fewer patient-doctor encounters, fewer overall visits, fewer ED referrals, and fewer hospitalizations