UNASSIGNED: A first psychotic episode may be related to neurological diseases, especially encephalitis of infectious or autoimmune origin. It is remarkable that an immune-mediated encephalitis triggered by a confirmed subacute bacterial meningitis is documented, and this is the case we will present.
UNASSIGNED: A 22-year-old woman with no previous medical history, immunocompetent, with three months of behavioral, affective and cognitive symptoms with subsequent compromise of sensory perception and psychosis. Examination of cerebrospinal fluid showed inflammatory signs with positive FilmArray© for Streptococcus pneumoniae. She received anti-psychotic and antibiotic treatment for 2 weeks without clinical improvement. Postencephalitic syndrome with immune-mediated psychosis was considered as a diagnosis, and immunosuppressive management with corticosteroid and plasmapheresis was initiated with complete resolution of symptoms. After one year of follow-up no neurological relapse has been identified.
UNASSIGNED: Encephalitis is a neurological syndrome due to brain parenchymal damage that can result in psychiatric symptoms including psychosis and behavioral changes. Its causes are usually infectious (usually viral) or autoimmune (Anti NMDA, AMPA, LGI1 or others). A psychiatric condition in bacterial meningitis without improvement with antibiotic treatment is remarkable, its presence should suggest an immune-mediated post-infectious syndrome that may respond to the use of immunomodulators even in the absence of identification of autoimmune encephalitis-associated antibodies. No similar cases have been reported in the literature.
UNASSIGNED: Immune-mediated psychosis may be a manifestation of post-encephalitic syndrome associated with bacterial meningitis and its treatment with immunosuppressants may offer benefit in cases where the use of antipsychotics and antibiotics shows no improvement.

N meningiditis remains an important cause of central nervous system infection. A high index of suspicion is required especially in infants. While empirical antibiotics may be initiated, diagnostic measures must be adopted for guided therapy. Notification of such cases contributes to surveillance data and deciding on providing vaccines to the population.

UNASSIGNED: Application of metagenomic next-generation sequencing (mNGS) in identifying nosocomial central nervous system (CNS) infections in critical care units remains understudied.
UNASSIGNED: We conducted a retrospective analysis of microbiological results through both mNGS and routine examination of cerebrospinal fluid (CSF) samples from patients with nosocomial CNS infections. The aim of this study was to assess the clinical diagnostic effect of nosocomial mNGS in this population.
UNASSIGNED: The study included 26 cases of nosocomial CNS infections in total. A total of 69.2% (18/26) of the samples tested positive for mNGS, which is substantially greater than the 7.7% (2/26; p<0.05) detected through conventional techniques. Administration of antibiotics before culture is most likely the cause of the low CSF culture rate. Twenty-five pathogenic strains that were missed by standard testing. Three pathogens that were consistent with the mNGS results were positive by routine tests. Eight cases were negative by mNGS due to low pathogen CSF titres. Compared to traditional testing, mNGS demonstrated 100% sensitivity and 33.3% specificity in diagnosing CNS infections. The thirty-day mortality rate was 26.9% (7/26).
UNASSIGNED: Routine microbiologic testing frequently falls short of detecting all neuroinvasive pathogens. Our research suggests that mNGS offers an alternative means of detecting nosocomial CNS infections. By applying mNGS to CSF samples from patients with meningitis or encephalitis, we were able to improve the ability to diagnose nosocomial neurologic infections.

OBJECTIVE: Diagnostic prediction models exist to assess the probability of bacterial meningitis (BM) in paediatric patients with suspected meningitis. To evaluate the diagnostic accuracy of these models in a broad population of children suspected of a central nervous system (CNS) infection, we performed external validation.
METHODS: We performed a systematic literature review in Medline to identify articles on the development, refinement or validation of a prediction model for BM, and validated these models in a prospective cohort of children aged 0-18 years old suspected of a CNS infection.
METHODS: We calculated sensitivity, specificity, predictive values, the area under the receiver operating characteristic curve (AUC) and evaluated calibration of the models for diagnosis of BM.
RESULTS: In total, 23 prediction models were validated in a cohort of 450 patients suspected of a CNS infection included between 2012 and 2015. In 75 patients (17%), the final diagnosis was a CNS infection including 30 with BM (7%). AUCs ranged from 0.69 to 0.94 (median 0.83, interquartile range [IQR] 0.79-0.87) overall, from 0.74 to 0.96 (median 0.89, IQR 0.82-0.92) in children aged ≥28 days and from 0.58 to 0.91 (median 0.79, IQR 0.75-0.82) in neonates.
CONCLUSIONS: Prediction models show good to excellent test characteristics for excluding BM in children and can be of help in the diagnostic workup of paediatric patients with a suspected CNS infection, but cannot replace a thorough history, physical examination and ancillary testing.

Cryptococcus neoformans is a global invasive mycosis that is known to cause significant morbidity and mortality. It is commonly observed that individuals with compromised immune systems are more prone to developing cryptococcal meningitis. Although ocular involvement is rare, previous studies have indicated that ocular lesions precede symptomatic meningitis in only 27 % of patients with central nervous system involvement. Intraocular infections typically manifest as chorioretinopathy and vitreous inflammation, often leading to severe vision loss. In this case, we present the clinical details of a 57-year-old immunocompetent woman who visited the ophthalmology department of West China Hospital of Sichuan University with a progressive loss of vision in her right eye. After a thorough evaluation, she was diagnosed with fungal endophthalmitis, and subsequently initiated on appropriate induction anti-fungal therapy for cryptococcal meningoencephalitis. This case highlights the importance of early recognition and treatment, which can potentially improve the prognosis for patients.

Purpose The incidence of endocrine sequelae following central nervous system (CNS) infections in pediatric age is not known. We conducted this scoping review to assess the incidence of endocrinological alterations in patients with prior CNS infections in pediatric age. Methods Our screening process included both randomized and non-randomized controlled trials. All types of observational studies, prospective and retrospective, have been included. Results Ten studies were included in our review. The cumulative number of patients in all of the studies was 211, the mean age of the population study was 4.9 (±5 years). The included papers described the following acute CNS infections: meningitis (nine studies reported eighty-five cases) and encephalitis (three studies described sixty-five cases). Two case reports and one retrospective study reported hypopituitarism as a consequence of Mycobacterium tuberculosis CNS infection. In five studies the patients developed endocrine comorbidities at the time of infection. Another study analyzed 49 young adults who previously had tuberculous meningitis at a mean age of 5.9 ± 5.0 years: seven patients had growth hormone deficiency, four of whom also had gonadotropin deficiency; the other three had gonadotropin deficiency, corticotropin deficiency, and mild hyperprolactinemia. Conclusion Standardized multidisciplinary follow-up and research of patients with prior CNS infection is crucial. Although pituitary reserve screening is not commonly performed in these patients, clinical and research centers should set up an endocrinological evaluation with monitoring of auxological parameters to detect the signs and symptoms of hypopituitarism early and to initiate the appropriate care in children with previous CNS infections.

BACKGROUND: Anesthesiologists play an important role in the management of labor and delivery during acute malaria infection. The peripartum anesthesia considerations for such cases remain unclear.
RESULTS: Important peripartum considerations include the severity of thrombocytopenia and coagulopathy, hemodynamic status and cardiac disease, and the likelihood of central nervous system (CNS) involvement. Several antimalarial drugs may interact with perioperative medications, causing hypoglycemia, methemoglobinemia, or QT prolongation. Labor should usually not be induced. Patient volume status should be optimized pre-induction, but fluids should be administered with caution given the risk of cerebral edema. In case of CNS involvement intracranial pressure should be maintained. Case reports describe the successful use of neuraxial anesthesia but this approach requires further confirmation of safety. Despite the risks accompanying airway management in pregnancy, in some cases, general anesthesia was preferred due to the chance of CNS infection and disease complications. Tight postoperative assessments of neurological and bleeding status are indicated regardless of the mode of delivery.
CONCLUSIONS: Despite the prevalence of malaria, the perioperative risk and preferred mode of anesthesia for pregnant patients with acute malaria remain under-researched and outcome data are limited.

Infections of the central nervous system (CNS) can lead to severe outcomes if not accurately diagnosed and treated. The broad spectrum of pathogens involved in CNS infections can make diagnosis challenging. Polymerase chain reaction (PCR) -based multiplex molecular diagnostic panels can rapidly and simultaneously detect multiple neuropathogens in cerebrospinal fluid (CSF). This study was aimed to assess the Bio-Speedy Meningitis/Encephalitis RT-PCR MX-17 panel (Bioeksen, İstanbul, Türkiye), a novel multiplex PCR test, in diagnosing CNS infections. The panel can detect a range of pathogens, including Escherichia coli K1, Haemophilus influenzae, Listeria monocytogenes, Neisseria meningitidis, Streptococcus pneumoniae, Streptococcus agalactiae, enterovirus (EV), herpes simplex virus (HSV) 1 and 2, HHV-6, HHV-7, HHV-8, human parechovirus (HPeV), varicella zoster virus (VZV), cytomegalovirus (CMV) and Cryptococcus gatti/neoformans in CSF samples. This retrospective study included 128 CSF samples from 128 patients sent to Bursa Uludağ University Health Application and Research Center Microbiology Laboratory between June 2022 and July 2023 to search for CNS infectious agents. Patient clinical, radiological and laboratory data were collected from the Hospital Information Record System (HIRS). Bacterial pathogens were identified through culture, while viral pathogens were detected in CSF samples using the Fast Track Diagnostics (FTD) multiplex RT-PCR panel (Fast Track Diagnostics Ltd., Luxembourg) for HSV-1, HSV-2, VZV, EV, mumps virus and HPeV. The stored CSF samples were then tested using the BioSpeedy panel and the results were compared with those of the culture and the FTD panel. Pathogens that were detected were considered positive if they were consistent with the patient\'s symptoms and CSF characteristics according to infectious disease and pediatric infectious disease specialists. Pathogens detected but not supported by the patient\'s symptoms and CSF characteristics were classified as uncertain clinical relevance (UCR). Out of the 128 patients tested for CNS infectious agents, 44 (34.4%) were diagnosed with a CNS infection. The overall pathogen detection rate with all methods was 43.2% (19/44). The Bio-Speedy panel identified pathogens in 29.5% (13/44) of the patients, followed by the FTD panel (20.5%, 9/44) and culture (9.1%, 4/44). Four bacteria were identified with culture, three of which were also detected by the Bio-Speedy panel. Additionally, six bacteria were identified with Bio-Speedy panel, that were not identified by culture. The FTD panel identified nine viruses, four of which were also identified by Bio-Speedy. In total, the Bio-Speedy panel detected 13 of the 19 positive pathogens (nine bacteria and four viruses: [S.pneumoniae (n= 3), VZV (n= 3), N.meningitidis (n= 2), H.influenzae (n= 2), L.monocytogenes (n= 1), E.coli (n= 1) ve EV (n= 1)]. However, the Bio-Speedy panel identified 15 pathogens [S.pneumoniae (n= 1), E.coli (n= 1), C.gatti/neoformans (n= 1), CMV (n= 8), HHV-6 (n= 3) ve HHV-7 (n= 1)] considered as UCR. The Bio-Speedy identified the causative pathogens in the highest percentage (29.5%) of patients with confirmed CNS infections. Nevertheless, test results should be interpreted based on patient characteristics to ensure appropriate patient management. Using multiple methods and multiplex tests may improve diagnostic accuracy for CNS infections.

Central nervous system Infections (CNSIs) is a disease characterized by complex pathogens, rapid disease progression, high mortality rate and high disability rate. Here, we evaluated the clinical value of metagenomic next generation sequencing (mNGS) in the diagnosis of central nervous system infections and explored the factors affecting the results of mNGS. We conducted a retrospective study to compare mNGS with conventional methods including culture, smear and etc. 111 suspected CNS infectious patients were enrolled in this study, and clinical data were recorded. Chi-square test were used to evaluate independent binomial variables, taking p < 0.05 as statistically significant threshold. Of the 111 enrolled cases, 57.7% (64/111) were diagnosed with central nervous system infections. From these cases, mNGS identified 39.6% (44/111) true-positive cases, 7.2% (8/111) false-positive case, 35.1% (39/111) true-negative cases, and 18.0% (20/111) false-negative cases. The sensitivity and specificity of mNGS were 68.7% (44/64) and 82.9% (39/47), respectively. Compared with culture, mNGS provided a higher pathogen detection rate in CNSIs patients (68.7% (44/64) vs. 26.5% (17/64), p < 0.0001). Compared to conventional methods, positive percent agreement and negative percent agreement was 84.60% (44/52) and 66.1% (39/59) separately. At a species-specific read number (SSRN) ≥ 2, mNGS performance in the diagnosis of definite viral encephalitis and/or meningitis was optimal (area under the curve [AUC] 0.758, 95% confidence interval [CI] 0.663-0.854). In bacterial CNSIs patients with significant CSF abnormalities (CSF WBC > 300*106/L), the positive rate of CSF mNGS is higher. To sum up, conventional microbiologic testing is insufficient to detect all neuroinvasive pathogens, and mNGS exhibited satisfactory diagnostic performance in CNSIs and with an overall detection rate higher than culture (p < 0.0001).

The application of metagenomic next-generation sequencing (mNGS) in pathogens detection of cerebrospinal fluid (CSF) is limited because clinical, microbiological, and biological information are not well connected. We analyzed the 428 enrolled patients\' clinical features, pathogens diagnostic efficiency of mNGS in CSF, microbial community structure and composition in CSF, and correlation of microbial and clinical biomarkers in CSF. General characteristics were unspecific but helpful in formulating a differential diagnosis. CSF mNGS has a higher detection rate (34.6%) compared to traditional methods (5.4%). mNGS detection rate was higher when the time from onset to CSF collection was ≤20 days, the CSF leukocytes count was >200 × 106/L, the CSF protein concentration was >1.3 g/L, or CSF glucose concentration was ≤2.5 mmol/L in non-postoperative bacterial CNS infections (CNSi). CSF was not strictly a sterile environment, and the potential pathogens may contribute to the dysbiosis of CSF microbiome. Furthermore, clinical biomarkers were significantly relevant to CNS pathogens. Clinical data are helpful in choosing a proper opportunity to obtain an accurate result of mNGS, and can speculate whether the mNGS results are correct or not. Our study is a pioneering study exploring the CSF microbiome in different CNSIs.