Diagnostic Model for Discrimination Between Tuberculous Meningitis and Bacterial Meningitis.

Background: The differential diagnosis between tuberculous meningitis (TBM) and bacterial meningitis (BM) remains challenging in clinical practice. This study aimed to establish a diagnostic model that could accurately distinguish TBM from BM. Methods: Patients with TBM or BM were recruited between January 2017 and January 2021 at Tongji Hospital (Qiaokou cohort) and Sino-French New City Hospital (Caidian cohort). The detection for indicators involved in cerebrospinal fluid (CSF) and T-SPOT assay were performed simultaneously. Multivariate logistic regression was used to create a diagnostic model. Results: A total of 174 patients (76 TBM and 98 BM) and another 105 cases (39 TBM and 66 BM) were enrolled from Qiaokou cohort and Caidian cohort, respectively. Significantly higher level of CSF lymphocyte proportion while significantly lower levels of CSF chlorine, nucleated cell count, and neutrophil proportion were observed in TBM group when comparing with those in BM group. However, receiver operating characteristic (ROC) curve analysis showed that the areas under the ROC curve (AUCs) produced by these indicators were all under 0.8. Meanwhile, tuberculosis-specific antigen/phytohemagglutinin (TBAg/PHA) ratio yielded an AUC of 0.889 (95% CI, 0.840-0.938) in distinguishing TBM from BM, with a sensitivity of 68.42% (95% CI, 57.30%-77.77%) and a specificity of 92.86% (95% CI, 85.98%-96.50%) when a cutoff value of 0.163 was used. Consequently, we successfully established a diagnostic model based on the combination of TBAg/PHA ratio, CSF chlorine, CSF nucleated cell count, and CSF lymphocyte proportion for discrimination between TBM and BM. The established model showed good performance in differentiating TBM from BM (AUC: 0.949; 95% CI, 0.921-0.978), with 81.58% (95% CI, 71.42%-88.70%) sensitivity and 91.84% (95% CI, 84.71%-95.81%) specificity. The performance of the diagnostic model obtained in Qiaokou cohort was further validated in Caidian cohort. The diagnostic model in Caidian cohort produced an AUC of 0.923 (95% CI, 0.867-0.980) with 79.49% (95% CI, 64.47%-89.22%) sensitivity and 90.91% (95% CI, 81.55%-95.77%) specificity. Conclusions: The diagnostic model established based on the combination of four indicators had excellent utility in the discrimination between TBM and BM.

Ability of Procalcitonin and C-Reactive Protein for Discriminating between Bacterial and Enteroviral Meningitis in Children Using Decision Tree.

Bacterial meningitis (BM) is a public health burden in developing countries, including Central Asia. This disease is characterized by a high mortality rate and serious neurological complications. Delay with the start of adequate therapy is associated with an increase in mortality for patients with acute bacterial meningitis. Cerebrospinal fluid culture, as a gold standard in bacterial meningitis diagnosis, is time-consuming with modest sensitivity, and this is unsuitable for timely decision-making. It has been shown that bacterial meningitis differentiation from viral meningitis could be done through different parameters such as clinical signs and symptoms, laboratory values, such as PCR, including blood and cerebrospinal fluid (CSF) analysis. In this study, we proposed the method for distinguishing the bacterial form of meningitis from enteroviral one. The method is based on the machine learning process deriving making decision rules. The proposed fast-and-frugal trees (FFTree) decision tree approach showed an ability to determine procalcitonin and C-reactive protein (CRP) with cut-off values for distinguishing between bacterial and enteroviral meningitis (EVM) in children. Such a method demonstrated 100% sensitivity, 96% specificity, and 98% accuracy in the differentiation of all cases of bacterial meningitis in this study. These findings and proposed method may be useful for clinicians to facilitate the decision-making process and optimize the diagnostics of meningitis.

Clinical study on the diagnosis of porcine streptococcal meningitis with negative blood and cerebrospinal fluid culture by next-generation sequencing.

BACKGROUND: Streptococcus suis (Ss) is a Gram-positive and anaerobic zoonotic pathogen that is susceptible to all populations and can cause meningitis, septicemia, endocarditis and arthritis in humans. METHODS: In this study, patients with meningitis who were admitted to our hospital with negative blood and cerebrospinal fluid culture were divided into a next-generation sequencing group and a control group. In the next-generation sequencing group, we used the next-generation sequencing method to detect pathogenic bacteria in the patients' cerebrospinal fluid. In the control group, we used blood and cerebrospinal fluid bacterial culture method to detect pathogenic bacteria in the patients' cerebrospinal fluid. The detection rates of pathogenic bacteria in the cerebrospinal fluid of the two groups were compared and analyzed. RESULTS: A total of 18 patients were included in this study, including 8 patients in the next-generation sequencing group and 10 patients in the control group. The mean age (P = 0.613) and mean disease duration (P = 0.294) were similar in both groups. Patients in the next-generation sequencing group had a leukocyte count of 13.13 ± 4.79 × 109, a neutrophil percentage of 83.39 ± 10.36%, and a C-reactive protein level of 134.95 ± 107.69 mg/L. Patients in the control group had a temperature of 38.32 ± 1.07, a leukocyte count of 8.00 ± 2.99 × 109, and a neutrophil percentage of 74.61 ± 8.89%, and C-reactive protein level was 4.75 ± 6.8 mg/L. The statistical results showed that the leukocytes (P = 0.013) and C-reactive protein levels (P = 0.001) were significantly higher in the patients of the next-generation sequencing group than in the control group. No statistically significant differences were seen in body temperature and neutrophil percentage between the two groups (P > 0.05). The incidence of intracranial pressure and meningeal irritation signs were similar in the two groups (P > 0.05). The detection rate of Streptococcus suis in the cerebrospinal fluid of patients in the next-generation sequencing group was 100%, and the detection rate of Streptococcus suis in the cerebrospinal fluid of the control group was 0%. CONCLUSION: The detection rate of Streptococcus suis infection in cerebrospinal fluid by next-generation sequencing was significantly higher than that by blood and cerebrospinal fluid bacterial culture. Therefore, the diagnosis of porcine streptococcal meningitis by next-generation sequencing method is worthy of clinical promotion and application.

The association between serum sodium level and tuberculous meningitis compared with viral and bacterial meningitis.

We evaluated the association between hyponatremia and tuberculous meningitis (TBM) with the aim of providing additional information for differential diagnosis from other types of infectious meningitis, especially viral meningitis (VM). Cross-sectional and longitudinal data involving 5026 participants older than 18 years were analyzed in the total population and a propensity-matched population. The initial and lowest sodium levels and longitudinal changes in TBM, bacterial meningitis (BM), and VM patients were compared. Participants in the TBM group were enrolled when they were diagnosed as possible, probable, or definite TBM according to the Marais' criteria. The initial serum sodium level was significantly lower in TBM patients than in BM and VM patients (136.9 ± 5.9 vs. 138.3 ± 4.7 mmol/L, p < 0.001 for TBM vs. BM, and 139.0 ± 3.1, p < 0.001 for TBM vs. VM), and it decreased significantly more steeply to lower levels in both the TBM and BM patients compared with VM patients. The lowest serum sodium level was in the order of TBM < BM < VM patients, and the change was statistically significant in all subgroups (131.8 ± 6.4, 133.1 ± 5.1, 137.4 ± 3.7, respectively, p < 0.001). Participants with lower serum sodium level were more likely to have a diagnosis of TBM rather than VM, and this association was more pronounced for the lowest sodium level than the initial sodium level [OR 4.6 (95% CI 2.4-8.8, p < 0.001)]. These findings indicate that baseline and longitudinal evaluation of serum sodium level can provide information for differential diagnosis of TBM from BM or VM.

Cytokine Profiles Before and After Exchange Transfusions in Severe Late-Onset Neonatal Group B Streptococcus Meningitis: A Case Report.

Streptococcus agalactiae or group B streptococcus (GBS) is a pathogen that causes severe neonatal infections, resulting in sepsis, pneumonia, and meningitis. Neonatal GBS meningitis has a poor neurological prognosis and a high mortality rate. GBS disease is classified as early- and late-onset if the onset age is 0-6 and 7-89 days after birth, respectively. There is currently no effective preventive strategy against late-onset GBS (LOGBS) disease. Here, we report a case of female infant with LOGBS meningitis who recovered from the septic shock by two exchange transfusions (ExTs) but still experienced severe neurological sequela. She was born at a gestational age of 39 weeks via caesarian section due to oligohydramnios and had fever 11 days after birth. GBS was detected in her cerebrospinal fluid (CSF) and blood but not in the vaginal or breast-milk cultures of the mother. The patient was treated with intravenous antibiotic administration; however, she suddenly developed pulseless ventricular tachycardia and asystole the next day. Her heart rate was normalized via cardiopulmonary resuscitation. We also performed two ExTs, and she recovered from the septic shock. Cytokine-profile analysis revealed that the serum and CSF levels of various pro-inflammatory and anti-inflammatory cytokines were elevated before the ExTs, after which the serum levels of several of these cytokines decreased. Two ExTs were effective in saving the life of the patient but did not improve the neurological prognosis. Given that neonatal GBS meningitis has high fatality and sequela rates; thus, it is necessary to establish a preventive strategy.

Diagnostic accuracy of a dynamically increased red blood cell distribution width in very low birth weight infants with serious bacterial infection.

OBJECTIVE: Serious bacterial infection (SBI) remains an important cause of morbidity and mortality in preterm infants. The objective of this study was to evaluate the dynamically increased value of the red cell distribution width (RDW) in the diagnosis of SBI. METHODS: This retrospective study enrolled 334 preterm infants with birth weight less than 1500 g. The initial RDW and the maximum value of RDW during hospitalization were extracted from the MIMIC-III database (version 1.4). Infants were categorized into four groups according to baseline RDW value and ΔRDW (ΔRDW = RDW at maximum- RDW at baseline). Logistic regression analysis was used to assess the risk of developing SBI in each group. A receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value of RDW at baseline alone, ΔRDW alone, and in combination. RESULTS: Infants with increased RDW at baseline (> 17%) and ΔRDW > 2% exhibited the highest risk of developing SBI, whereas the patients with normal RDW level at baseline (≤ 17%) and ΔRDW≤2% (the reference group) had the lowest risk. This association remained unaltered even after adjustment in multivariable models. Basing on ROC curve analysis, the area under the curve predicted by the combination of RDW at baseline and ΔRDW for SBI was 0.81 (95% CI, 0.76-0.87). Sensitivity and specificity were 78.16 and 72.47% respectively. CONCLUSIONS: We observed that combination of elevated RDW at baseline and dynamic increases during hospitalization is significantly associated with SBI. Therefore, that combination could be a promising independent diagnostic indicator of SBI in newborns.

Evaluation of the accuracy of immature granulocyte percentage in predicting pediatric serious bacterial infection.

INTRODUCTION: Serious bacterial infections (SBI) are major causes of mortality and morbidity in children. The aim of this study was to determine the accuracy of the immature granulocyte (IG) percentage in predicting SBI. METHODS: Patients admitted to the pediatric emergency department with fever were divided into two groups: with SBI and with non-SBI. White blood cell (WBC) count, absolute neutrophil count (ANC), C-reactive protein (CRP), and the percentage of IG value were recorded, and their accuracy in predicting SBI was evaluated. RESULTS: Sixty-one (14.3%) patients fell into the SBI group and 367 (85.7%) were with non-SBI. Mean IG percentage among SBI patients was 0.84 ± 1.21 and 0.27 ± 0.20 for with non-SBI patients (P = .001). Based on disease, the highest IG percentage was found in patients diagnosed with sepsis (IG 3.7 ± 3.5%) and with bacterial meningitis (IG 1.6 ± 1.3%). The area under the curve (AUC) of IG percentage to predict SBI was 0.83 with 95% confidence interval (CI) [0.78-0.88]; WBC was 0.76 (95% CI 0.70-0.83); ANC was 0.73 (95% CI 0.67-0.80), and CRP was 0.79 (95% CI 0.73-0.85). When infection markers were compared to the most appropriate cut-off values in predicting SBI, IG percentage showed the highest sensitivity and specificity. When the cut-off value was determined as >0.35 for IG percentage, sensitivity was 75.4% and specificity was 76.6% in predicting SBI. CONCLUSION: Patients with SBI had a higher IG percentage. Compared to other biomarkers, IG percentage had higher sensitivity and specificity in predicting SBI.

Combined testing of cerebrospinal fluid IL-12 (p40) and serum C-reactive protein as a possible discriminator of acute bacterial neuroinfections.

INTRODUCTION: Central nervous system infections (CNS) are life-threatening diseases, with meningitis being the most common. Viral infections are usually self-limiting diseases but bacterial pathogens are associated with higher mortality rates and persistent neurological sequelae. We aimed to study the role of IL-6, IL-8, IL-10, IL-12(p40), TNF-α cytokines, classical cerebrospinal fluid (CSF) parameters, and serum C-reactive protein levels (CRP) for discriminating bacterial from viral central nervous system infections. MATERIAL AND METHODS: This prospective study included 80 patients with clinical signs and abnormal cerebrospinal fluid laboratory findings typical for neuroinfection admitted to St. George University Hospital-Plovdiv. Routine methods such as direct microscopy, culturing and identification were used for microbiological analysis as well as latex-agglutination test and multiplex PCR. Cytokines' concentrations were measured by ELISA. CRP and CSF parameters were collected from the patients' medical records. RESULTS: We observed the highest discriminatory power among cytokines for cerebrospinal IL-12(p40) (AUC = 0.925; p = 0.000). CSF protein levels were the best predictor for bacterial neuroinfection (AUC = 0.973; p = 0.000). The AUC for the serum CRP as a stand-alone biomarker was estimated to be 0.943. The discriminatory power can be increased up to 0.995 (p = 0.000) when combining cerebrospinal fluid IL-12(p40) and serum CRP, with an optimal cut-off value of 144 (Sensitivity 100%; Specificity 90.9%). CONCLUSION: The combined testing of CSF IL-12(p40) and serum CRP is associated with the highest diagnostic accuracy.

Clinical Prediction Rule for Distinguishing Bacterial From Aseptic Meningitis.

BACKGROUND: New biomarkers like procalcitonin and C-reactive protein may help design an accurate decision support tool used to identify children with pleocytosis at low or high risk of bacterial meningitis. Our objective was to develop and validate a score (that we call the meningitis score for emergencies [MSE]) to distinguish bacterial meningitis from aseptic meningitis in children with pleocytosis when initially evaluated at the emergency department. METHODS: We included children between 29 days and 14 years old with meningitis admitted to 25 Spanish emergency departments. A retrospective cohort from between 2011 and 2016 was used as the derivation set and a prospective cohort recruited during 2017 and 2018 was used as the validation set. RESULTS: Among the 1009 patients included, there were 917 cases of aseptic meningitis and 92 of bacterial meningitis. Using multivariable logistic regression analysis, we identified the following predictors of bacterial meningitis from the derivation set: procalcitonin >1.2 ng/mL, cerebrospinal fluid (CSF) protein >80 mg/dL, CSF absolute neutrophil count >1000 cells per mm3, and C-reactive protein >40 mg/L. Using the derivation set, we developed the MSE, assigning 3 points for procalcitonin, 2 points for CSF protein, and 1 point for each of the other variables. An MSE ≥1 predicted bacterial meningitis with a sensitivity of 100% (95% confidence interval [CI]: 95.0%-100%), a specificity of 83.2 (95% CI: 80.6-85.5), and a negative predictive value of 100% (95% CI 99.4-100.) CONCLUSIONS: The MSE accurately distinguishes bacterial from aseptic meningitis in children with CSF pleocytosis.

Proteomics analysis of important molecules in serum from meningitic piglets caused by Streptococcus suis serotype 2.

INTRODUCTION: Streptococcus suis serotype 2 (SS2) is an important zoonotic pathogen that causes meningitis in China. This study's aim was comparative analysis of serum proteomics from meningitis and non-meningitis piglets. METHODOLOGY: SS2 meningitis and non-meningitis piglet models were established. The serum samples were collected and analyzed by label-free LC-MS/MS proteomics technology. Differentially expressed proteins (DEPs) from serum were screened out by comparing the meningitis group and non-meningitis group to the healthy group (M/C; N/C), respectively. And then, globally and comparative analysis of DEPs in "M/C" and "N/C" in serum were performed using bioinformatics method. Finally, we comparatively analyzed the serum and cerebrospinal fluid proteomics in piglets that lived with meningitis. RESULTS: We obtained 316 and 191 DEPs from "M/C" and "N/C" which classification visualizations were established. 157 DEPs were common in both groups and 159 DEPs were unique to the "M/C". These DEPs and the signaling pathways which they participated in were visualized. Moreover, some DEPs which participated in multiple pathways were discovered and the interaction between 159 DEPs was also mapped. 39 common DEPs were also screened out in serum and cerebrospinal fluid during meningitis, and signaling pathways associated with these DEPs were further visualized. CONCLUSIONS: DEPs in "M/C" and "N/C" were comparatively analyzed and the similarities and differences of these DEPS which were involved in signal pathways were summarized. Moreover, several important molecules were screened out.

Analysis of the Cerebrospinal Fluid at Point of Care in Resource-Limited Setting: A Pilot Study.

BACKGROUND: In the face of an emergency, a decision on the need for a timely intervention must be made urgently especially when it has to do with the brain. This study was conducted to determine the usefulness of Urine combistix and glucometer as a "point of care" testing tool in the emergency analysis of cerebrospinal fluid (CSF) in resource-limited settings. METHODOLOGY: In this pilot cross-sectional study, CSF and blood glucose were simultaneously measured using a point of care glucometer and central laboratory. The CSF protein, glucose, blood and leucocytes were also assessed using the urine combistix strips. The CSF/blood glucose ratios obtained at the bedside with a glucometer versus those obtained by the central laboratory were also compared. RESULTS: Turn-around time for glucometer and Combistix analysis was 3.5minutes (3-4mins) versus 360minutes (300- 600minutes) for the laboratory. A strong correlation was observed amongst urine Combistix values for CSF protein, blood, leucocyte and glucose with those obtained from the laboratory (ROC of 0.875, sensitivity:75% and specificity: 100%). In addition, there was significant correlation of the CSF-blood glucose ratios from both the laboratory versus glucometer. CONCLUSION: This pilot study showed that a combination of Combistix analysis for CSF protein, glucose, blood and leucocyte values plus a glucometer analysis of CSF and blood glucose can serve as a reliable and accurate synergistic means for early diagnosis of CSF abnormalities particularly in patients suspected to have meningitis. Finally, it provides a template on which an accurate CSF diagnostic kit can be developed.

Community-acquired Invasive Bacterial Disease in Urban Gambia, 2005-2015: A Hospital-based Surveillance.

BACKGROUND: Invasive bacterial diseases cause significant disease and death in sub-Saharan Africa. Several are vaccine preventable, although the impact of new vaccines and vaccine policies on disease patterns in these communities is poorly understood owing to limited surveillance data. METHODS: We conducted a hospital-based surveillance of invasive bacterial diseases in The Gambia where blood and cerebrospinal fluid (CSF) samples of hospitalized participants were processed. Three surveillance periods were defined in relation to the introduction of pneumococcal conjugate vaccines (PCVs), before (2005- 2009), during (2010-2011) and after (2012-2015) PCV introduction. We determined the prevalences of commonly isolated bacteria and compared them between the different surveillance periods. RESULTS: A total of 14 715 blood and 1103 CSF samples were collected over 11 years; overall, 1045 clinically significant organisms were isolated from 957 patients (972 organisms [6.6%] from blood and 73 [6.6%] from CSF). The most common blood culture isolates were Streptococcus pneumoniae (24.9%), Staphylococcus aureus (22.0%), Escherichia coli (10.9%), and nontyphoidal Salmonella (10.0%). Between the pre-PCV and post-PCV eras, the prevalence of S. pneumoniae bacteremia dropped across all age groups (from 32.4% to 16.5%; odds ratio, 0.41; 95% confidence interval, .29-.58) while S. aureus increased in prevalence, becoming the most prevalent bacteria (from 16.9% to 27.2%; 1.75; 1.26-2.44). Overall, S. pneumoniae (53.4%), Neisseria meningitidis (13.7%), and Haemophilus influenzae (12.3%) were the predominant isolates from CSF. Antimicrobial resistance to common antibiotics was low. CONCLUSIONS: Our findings demonstrate that surveillance data on the predominant pathogens associated with invasive disease is necessary to inform vaccine priorities and appropriate management of patients.

Concordance between blood and cerebrospinal fluid cultures in meningitis.

OBJECTIVE: To examine the association between cerebrospinal fluid (CSF) cultures and blood cultures in patients with suspected bacterial or fungal meningitis. METHODS: A 5-year retrospective chart review, conducted from April 2012 to January 2017 of consecutive patient encounters with bacterial or fungal organism growth in CSF culture, when a blood culture was also obtained. Patients were excluded if they received antibiotics prior to either lumbar puncture (LP) or blood culture acquisition, or if CSF cultures were positive for common bacterial skin contaminants. Descriptive statistics were used to characterize the dataset. RESULTS: 21 patient encounters met study inclusion criteria. 13 (61.9%; 95% CI 40.2-80.5%) had blood culture growth of the same organism as the CSF culture. 1 patient had a different organism in the blood culture compared to the CSF culture. 6 patients (33.3%, 95% CI 14.8%-56.9%) with positive CSF cultures had negative blood cultures. CONCLUSIONS: Our results suggest an insufficient degree of agreement between CSF and blood culture results. PCR may be a prudent approach in patients requiring immediate antibiotics and delayed LP.

The diagnostic value of metagenomic next-generation sequencing for identifying Streptococcus pneumoniae in paediatric bacterial meningitis.

BACKGROUND: There is currently no research on the diagnostic value of metagenomic next-generation sequencing (mNGS) for a single pathogens in CSF. The aim of this study was to analyse the value of mNGS for identifying Streptococcus pneumoniae (S. pneumoniae) in paediatric bacterial meningitis. METHODS: Bacterial meningitis (BM) cases from October 23, 2014, to December 31, 2016, and December 1, 2017, to July 31, 2018 at Beijing Children's Hospital were reviewed. Clinical features and pathogens were analysed. RESULTS: We diagnosed 135 patients with BM in this study. A total of 43 S. pneumoniae were identified by combination methods. 26/135 (19.3%) patients had positive results in S. pneumoniae by blood and/or cerebrospinal fluid (CSF) culture. Alere BinaxNow®Streptococcus pneumoniae Antigen test was positive in 35/135(25.9%) cases. 32/135 (23.7%) S. pneumoniae were identified by mNGS. Six CSF samples were identified as S. pneumoniae only by mNGS technology. Taking culture as the gold standard, the sensitivity and specificity of mNGS for diagnosing S. pneumoniae meningitis were 73.1 and 88.1%, respectively. The positive predictive value (PPV) and negative predictive value (NPV) of diagnosing S. pneumoniae meningitis by mNGS were 59.4 and 93.2%, respectively. When comparison between mNGS and combined tests (culture and Alere BinaxNow®Streptococcus pneumoniae Antigen test), the sensitivity and specificity of mNGS for S. pneumoniae identification were 70.3 and 93.9%, the PPV and NPV in the identification of S. pneumoniae by mNGS were 81.4 and 89.3%, respectively. The difference in number of unique reads of S. pneumoniaein from CSF sample (< 14 days onset) and CSF sample (> 14 days from onset) was statistically significant (170.5 VS. 13, P = 0.019). The difference in the collected time of CSF for culture and mNGS was statistically significant (4 days VS. 14 days, P < 0.001). CONCLUSIONS: mNGS has high sensitivity and specificity for S. pneumoniae identification. The pathogen load (number of unique reads) of S. pneumonia is related to the CSF collection time. mNGS was less affected than culture by the use of antibiotics before CSF collection.

Utilidad de las determinaciones analíticas en sangre y líquido cefalorraquídeo para predecir meningitis bacterianas en el servicio de urgencias / Usefulness of blood and cerebrospinal fluid laboratory testing to predict bacterial meningitis in the emergency department

Introducción: La presentación clínica clásica de la meningitis bacteriana (MB) se da en menos de la mitad de los casos en adultos y es menos específica en niños, ancianos, inmunodeprimidos y otros pacientes crónicos. Los signos y síntomas habituales no proporcionan una sensibilidad ni especificidad óptimas para distinguir una posible MB de una meningitis viral (MV), lo que puede originar un retraso en el inicio del tratamiento antimicrobiano adecuado. Por ello, existe un gran interés en disponer de herramientas objetivas útiles e inmediatas para sospechar y distinguir los casos de MB de los de MV. Entre ellas se encuentran las determinaciones urgentes en suero y en líquido cefalorraquídeo (LCR). El objetivo de esta revisión es poner de manifiesto las evidencias científicas publicadas recientemente, aclarar las controversias existentes y comparar la utilidad y la capacidad diagnóstica de los diferentes parámetros analizados para predecir MB. Desarrollo: Se realizó una búsqueda sistemática en las principales plataformas bibliográficas y de bases de datos desde enero de 2000 hasta enero de 2016, seleccionándose finalmente 59 artículos que cumplían con los objetivos de la revisión. Conclusiones: El lactato, la proporción de polimorfonucleares y la glucorraquia en el LCR, así como las concentraciones séricas de procalcitonina (PCT), son los factores independientes con mayor capacidad predictiva de etiología bacteriana. El modelo que combina la PCT sérica con el lactato en LCR consigue el mayor poder predictivo de MB, con una sensibilidad y especificidad superiores al 99%. Se debe considerar una MB cuando el lactato en LCR sea > 33 mg/dl y/o la PCT sérica sea > 0,25 ng/ml

Introduction: The classic clinical presentation of bacterial meningitis (BM) is observed in less than half of the cases in adults, and symptoms are less specific in children, the elderly or immunocompromised, and other chronic patients. The usual signs and symptoms do not provide optimal sensitivity and specificity for distinguishing possible BM from viral meningitis (VM), which may lead to a delay in the appropriate antimicrobial therapy. Society therefore stands to benefit from the development of effective, objective, and rapid tools able to predict and identify patients with BM. These tools include laboratory tests for blood and cerebrospinal fluid (CSF). The aim of this review is to summarise recently published scientific evidence in order to clarify existing controversies and compare the usefulness and diagnostic ability of the different parameters used to predict BM. Development: Systematic search of the main bibliographic databases and platforms to identify articles published between January 2000 and January 2016. We selected 59 articles that meet the objectives of this review. Conclusions: CSF lactate, proportion of polymorphonuclear leukocytes, and CSF glucose, as well as serum procalcitonin (PCT), are the independent factors most predictive of bacterial aetiology. The model that combines serum PCT and CSF lactate achieves the highest predictive power for BM, with a sensitivity and specificity exceeding 99%. We should consider BM when CSF lactate > 33 md/dL and/or PCT > 0.25 ng/mL

First reported human case of meningitis by Staphylococcus condimenti.

Staphylococcus condimenti (S. condimenti) is a coagulase-negative bacterium, generally regarded as not pathogenic. Indeed, S. condimenti owes its name to having been isolated from starter cultures of fermented sausage, as well as from fish and soy sauces. To the best of our knowledge, only two cases of human infection caused by this bacterium have been reported. Here, we present a case of meningitis by S. condimenti in a 65-year-old woman who was brought to hospital after having been found unconscious at home. At her arrival, she had a Glasgow coma scale = 3, fever, and hypoxic-normocapnic respiratory failure. Examination of her cerebrospinal fluid showed a slightly increased white blood cell count, normal glucose and protein concentrations. Paired cultures on blood and liquor samples yielded S. condimenti. Targeted antibiotic treatment with ceftriaxone led to a complete recovery. This unique case expands our knowledge on S. condimenti as a pathogenic bacterium.

Rapid detection of bacterial meningitis using a point-of-care glucometer.

BACKGROUND: In case of acute bacterial meningitis, a decision on the need for intensive care admission should be made within the first hour. The aim of this study was to assess the ability of a point-of-care glucometer to determine abnormal cerebrospinal fluid (CSF) glucose concentration at the bedside that contributes toward bacterial meningitis diagnosis. METHODS: We carried out a prospective study and simultaneously measured the glucose concentrations in CSF and blood using a central laboratory and a point-of-care glucometer. We compared CSF/blood glucose ratios obtained at the bedside with a glucometer versus those obtained by the central laboratory. We determined the performance characteristics of the CSF/blood glucose ratio provided by a glucometer to detect bacterial infection in the CSF immediately after CSF sampling. RESULTS: We screened 201 CSF collection procedures during the study period and included 172 samples for analysis. Acute bacterial meningitis was diagnosed in 17/172 (9.9%) of CSF samples. The median turnaround time for a point-of-care glucometer analysis was 5 (interquartile range 2-10) min versus 112 (interquartile range 86-154) min for the central laboratory (P<0.0001). The optimal cut-off of the CSF/blood glucose ratio calculated from a bedside glucometer was 0.46, with a sensitivity of 94.1% (95% confidence interval: 71.3-99.9%), a specificity of 91% (95% confidence interval: 85.3-95%), and a positive likelihood ratio of 10. CONCLUSION: A glucometer accurately detects an abnormal CSF/blood glucose ratio immediately after the lumbar puncture. This cheap point-of-care method has the potential to speed up the diagnostic process of patients with bacterial meningitis.

An unusual case of Pasteurella multocida bacteremic meningitis.

Pasteurella multocida is a rare cause of bacterial meningitis, more frequently affecting humans at the extremes of age. We report a case of meningitis and bacteremia caused by P. multocida in a 67-year-old diabetic woman who was living with 10 cats. She didn't have any animal bites or scratches, but she reported kissing the pets in the mouth. The outcome was favorable following antimicrobial treatment. Although rarely encountered, P. multocida should be considered as a possible cause of meningitis, particularly when Gram-negative coccobacilli are revealed in the cerebrospinal fluid and a history of recent animal contact is present.

Diagnostic Value of Procalcitonin for Bacterial Meningitis in Children: A Comparison Analysis Between Serum and Cerebrospinal Fluid Procalcitonin Levels.

The aim of this study was to analyze and compare procalcitonin (PCT) levels in serum and cerebrospinal fluid (CSF) as tools for detecting bacterial meningitis (BM) in children. Serum and CSF PCT levels as well as albumin index (AI = CSF albumin/serum albumin × 1000) were measured from 29 BM, 25 viral meningitis (VM), and 47 non-meningitis patients. Differences between groups only for CSF PCT were significant. A stronger positive correlation between CSF PCT level and AI was observed in the BM patients ( R = 0.68, P < .001). As a predictor of BM, the area under the receiver operating characteristics curve for CSF PCT was greater than that of serum PCT (0.76 vs 0.67, P < .05) and a cutoff of ⩾0.085 ng/mL achieved 55.17% sensitivity and 95.83% specificity. High levels of CSF PCT may indicate loss of integrity of the blood-brain barrier; only CSF PCT has a diagnostic value for BM in children suspected meningitis.

Utility of Clinical and Laboratory Decision Rules in Identifying Bacterial Meningitis Among Children with Suspicion of Central Nervous System Infections in a Malaria-Endemic Area, Mbarara, Uganda.

Several decision rules combining clinical and biological parameters have been proposed to distinguish bacterial from aseptic meningitis, but have not been evaluated in Africa. In children hospitalized with suspected central nervous system infections in Uganda, we found that the Bacterial Meningitis Score and Meningitest showed lower performance than in European children, and that a decision rule designed specifically using parameters associated with bacterial meningitis also showed inadequate diagnostic performance for clinical use.