Acute community-acquired bacterial meningitis (ABM) in children continues to have high rates of neurological morbidity and mortality despite the overall declining rates of infection attributed to the use of vaccines and intrapartum Group B Streptococcus prophylaxis. Prompt diagnosis and early antibiotic therapy are crucial and should not be delayed to obtain cranial imaging. Differentiating bacterial from viral meningitis continues to be a clinical dilemma especially in patients with previous antibiotic exposure. Clinical models and inflammatory biomarkers can aid clinicians in their diagnostic approach. Multiplex polymerase chain reaction and metagenomic next-generation sequencing are promising tools that can help in early and accurate diagnosis. This review will present the epidemiology of ABM in children, indications of cranial imaging, role of different models and serum biomarkers in diagnosing ABM, and management including the use of adjunctive therapies and methods of prevention.

We report a 15 year-old Nigerian adolescent male with chronic osteomyelitis caused by an extensively drug-resistant (XDR) Pseudomonas aeruginosa strain of sequence type 773 (ST773) carrying blaNDM-1 and an extended spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae strain. The patient developed neurological side effects in the form of circumoral paresthesia with polymyxin B and asymptomatic elevation of transaminases with aztreonam (used in combination with ceftazidime-avibactam). Cefiderocol treatment for 14 weeks plus bone implantation resulted in apparent cure and avoided amputation.

Despite universal susceptibility to β-lactams, resistance to second-line antimicrobials (e.g. erythromycin) is increasingly common among group A Streptococcus (GAS). To better understand the frequency of regional GAS antimicrobial resistance, we screened a previously described GAS strain collection from Houston, TX, USA, for resistance to commonly used antimicrobials. A total of 100/929 (10.8 %) showed resistance to at least one antimicrobial. Tetracycline resistance was identified in 52 (5.6 %) GAS strains. The cumulative frequency of erythromycin and clindamycin resistance [macrolide (M) and macrolide-lincosamide-streptogramin (MLS) phenotypes] was greatest among invasive GAS strains (9.9 %) compared to that of strains derived from any other infection type (5.9 %, P=0.045). We identified emm types 11, 75, 77 and 92 as the only emm types with high (e.g. >50 %) within-emm type resistance and contributing to the majority (24/26; 92 %) of erythromycin/clindamycin resistance in invasive GAS. High-frequency resistance emm types were also significantly overrepresented in invasive GAS strains as indicated by invasive index. We performed whole-genome sequencing to define genetic elements associated with resistance among emm types 11, 75, 77 and 92. Diverse mobile elements contributed to GAS resistance including transposons, integrative conjugative elements, prophage and a plasmid. Phylogenetic analysis suggests recent clonal emergence of emm92 GAS strains. Our findings indicate that less frequently encountered GAS emm types disproportionately contribute to resistance phenotypes, are defined by diverse mobile genetic elements and may favour invasive disease.

Multisystem inflammatory syndrome in children is a severe illness associated with the SARS-CoV-2 pandemic that possesses features overlapping with other pediatric diseases causing systemic inflammation. Significant diagnostic and treatment uncertainty remain, and clinicians should maintain a broad differential when evaluating patients for multisystem inflammatory syndrome in children, as antibiotic-susceptible infections such as murine typhus may present similarly.

Background: Use of Electronic Health Records is increasing. Copy-and-paste function is frequently used with higher rates of documentation errors. Studies to determine the nature of such errors are needed.Objectives: Determination of the effect of implementing a dictation system for completing notes on the quality of clinical documentation. We hypothesized that implementation of the dictation system for note writing would decrease the rate of errors in the progress notes as well as decrease the rate of copying and pasting. Design/Methods: A prospective interventional study in inpatient medical service for six months’ duration starting in July 2016. Resident physicians’ charts were reviewed by the attending physician on a daily basis. This study was done in a community based hospital affiliated to a university program. Residents’ physicians included Internal Medicine, Transitional year and Combined Internal Medicine Pediatrics residents. Charts reviewed for hospitalized patients. A total of 54 residents were offered a pre-intervention survey indicating their subjective use of copy/paste function. Response rate of 85.18%. Progress notes were reviewed on a daily basis for residents on their inpatient rotation. A total of 621 notes were reviewed. Results: Percentage of notes copied prior to the intervention was 92.73% which decreased to 49.71% post-intervention (RR of 0.54, 95% CI 0.48 0.60 Z statistic 11.005 with p-value <0.0001). Of the copied notes percentage of errors pre-intervention was 58% with no errors identified post-intervention (RR of 0.005, 95% CI 0.0003 0.0795 Z statistic 3.752 with p-value 0.0002). Most of the errors are from notes copied by the same author (85.8%). The most common documentation error was in the physical examination section. Conclusion: Implementing a dictation system eliminated documentation errors over our six months’ study. Further studies are needed to check long effects of using such systems on documentation errors