Clinical use of multiplex-PCR for the diagnosis of acute bacterial meningitis

Clinical performance of real-time nanopore metagenomic sequencing for rapid identification of bacterial pathogens in cerebrospinal fluid: a pilot study

This study aimed to evaluate the usefulness of amplicon-based real-time metagenomic sequencing applied to cerebrospinal fluid (CSF) for identifying the causative agents of bacterial meningitis. We conducted a 16S rRNA amplicon sequencing using a nanopore-based platform, alongside routine polymerase chain reaction (PCR) testing or bacterial culture, to compare its clinical performance in pathogen detection on CSF samples. Among 17 patients, nanopore-based sequencing, multiplex PCR, and bacterial culture detected potential bacterial pathogens in 47.1%, 0%, and 47.1% samples, respectively. Nanopore-based sequencing demonstrated a sensitivity of 50.0%, specificity of 55.6%, positive predictive value of 50.0%, negative predictive value of 55.6%, and overall accuracy of 47.1%, compared to the gold standard method for bacterial culture. In 44.4% (4/9) of culture-negative cases, nanopore-based sequencing detected potentially causative pathogens, whereas four (23.5%) patients were positive only in culture. Using nanopore-based sequencing alongside bacterial culture increased the positivity rate from 47.1 to 70.6%. However, these values may be overestimated due to challenges in distinguishing significant pathogens from background noise. Meanwhile, the bioinformatics module in EPI2ME reduced the turn-around time to 10 min. Nanopore-based metagenomic sequencing is expected to serve as a complementary tool for pathogen detection in CSF samples by facilitating rapid and accurate diagnosis.

Impact of Multiplex Polymerase Chain Reaction Test in Patients With Meningitis or Encephalitis

Background

The objective of this study was to evaluate the impact of the FilmArray meningitis/encephalitis panel (FAME) on length of stay (LOS) and duration of antimicrobial treatment in children and adults in a Japanese community hospital.

Methods

This retrospective cohort study was conducted in Japan between January 2016 and December 2022. We included hospitalized patients with cerebrospinal fluid (CSF) samples and those aged <2 months or who had 5 or more white blood cells/μL in the CSF. To compare the days of therapy (DOT) and LOS between the pre-FAME and FAME periods, multivariate Poisson regression analyses were conducted without an offset term.

Results

The number of cases undergoing pathogen-specific polymerase chain reaction increased from 3.7% in the pre-FAME period to 57.5% in the FAME period (P < .001). The pathogen identification rate also increased during the FAME period, from 0.4% to 18.7% (P < .001). While the antibacterial DOT was not statistically different between the 2 periods (adjusted rate ratio [aRR], 1.06 [95% confidence interval {CI}, 1.00-1.13]; P = .063]), the antiviral DOT was significantly shorter in the FAME period (aRR, 0.80 [95% CI, .71-.89]; P < .001).

Conclusions

This study revealed a significant reduction in antiviral use during the FAME period, whereas LOS and antibacterial use did not decrease. Given the possibility of factors (eg, the COVID-19 pandemic) affecting the epidemiology of meningitis and encephalitis, the indications and impact of the FAME test should be evaluated with continuous monitoring of the epidemiology of meningitis and encephalitis and its clinical impact.

Application of metabolomics in diagnostics and differentiation of meningitis: A narrative review with a critical approach to the literature

Due to its high mortality rate associated with various life-threatening sequelae, meningitis poses a vital problem in contemporary medicine. Numerous algorithms, many of which were derived with the aid of artificial intelligence, were brought up in a strive for perfection in predicting the status of sepsis-related survival or exacerbation. This review aims to provide key insights on the contextual utilization of metabolomics. The aim of this the metabolomic approach set of methods can be used to investigate both bacterial and host metabolite sets from both the host and its microbes in several types of specimens - even in one's breath, mainly with use of two methods - Mass Spectrometry (MS) and Nuclear Magnetic Resonance (NMR). Metabolomics, and has been used to elucidate the mechanisms underlying disease development and metabolic identification changes in a wide range of metabolite contents, leading to improved methods of diagnosis, treatment, and prognosis of meningitis. Mass spectrometry (MS) and Nuclear Magnetic Resonance (NMR) are the main analytical platforms used in metabolomics. Its high sensitivity accounts for the usefulness of metabolomics in studies into meningitis, its sequelae, and concomitant comorbidities. Metabolomics approaches are a double-edged sword, due to not only their flexibility, but also - high complexity, as even minor changes in the multi-step methods can have a massive impact on the results. Information on the differential diagnosis of meningitis act as a background in presenting the merits and drawbacks of the use of metabolomics in context of meningeal infections.

Mania: An atypical presentation of probable Streptococcus agalactiae meningoencephalitis

Streptococcus agalactiae, also known as Group B Streptococcus (GBS), is a common pathogen in the neonatal period, causing meningitis and sepsis. In non-pregnant adults it is an unusual cause of meningitis. We report about an elderly female with several risk factors for invasive GBS infection who developed GBS meningoencephalitis one month after treatment for COVID-19 upper respiratory tract infection. The patient presented with mania, and the classic triad of headache, neck stiffness, and fever was absent which contributed to the delay in diagnosis. Following initiation of treatment with intravenous ceftriaxone she attained full recovery, and her behavior returned to baseline. This case illustrates an unusual presentation of an emerging infection and should alert clinicians about this presentation. By reporting this case we want to raise awareness about mania as a presenting feature of meningoencephalitis. This should lead to more timely diagnosis and better outcomes for future patients.

An Overview of Clinical Manifestations of Dermatological Disorders in Intensive Care Units: What Should Intensivists Be Aware of?

Acute skin failure is rarely the primary diagnosis that necessitates admission to an intensive care unit. Dermatological manifestations in critically ill patients, on the other hand, are relatively common and can be used to make a key diagnosis of an adverse drug reaction or an underlying systemic illness, or they may be caused by factors related to a prolonged stay or invasive procedures. In intensive care units, their classification is based on the aetiopathogenesis of the cutaneous lesion and, in the meantime, distinguishes critical patients. When evaluating dermatological manifestations, several factors must be considered: onset, morphology, distribution, and associated symptoms and signs. This review depicts dermatological signs in critical patients in order to lay out better recognition.