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Palupi IR, Sugianto P. Accuracy of Meningitis Bacterial Score (MBS) as an indicator in establishing the diagnosis of acute bacterial meningitis in adults. NARRA J 2021; 1:e66. [PMID: 38450214 PMCID: PMC10914030 DOI: 10.52225/narra.v1i3.66] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 12/01/2021] [Indexed: 03/08/2024]
Abstract
Bacterial meningitis persists as a worldwide threat contributing to high mortality and morbidity rate, where differentiating bacterial meningitis from aseptic meningitis is key for better management and outcomes. Hence, this study aimed to assess the Bacterial Meningeal Score (BMS) as a tool for early diagnosis of acute bacterial meningitis. This study employed a retrospective cross-sectional method using medical records of patients with meningitis and meningoencephalitis who were hospitalized at Dr. Soetomo Hospital, from January 2018 to September 2021. Data of demographics, clinical, laboratory and cerebrospinal fluid (CSF) profile and culture were collected. The diagnostic performance of the BMS in diagnosing acute bacterial meningitis was evaluated by its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR +) and negative likelihood ratio (LR -). A total of 128 patients who had been diagnosed with meningitis and meningoencephalitis were included. Out of total patients, 53 samples were diagnosed with acute bacterial meningitis as confirmed by CSF culture. The sensitivity and specificity of BMS with cutoff >2.5 in diagnosing acute bacterial meningitis were 92.4% and 92.0%, respectively with PPV 89.1% and NPV 94.5%. The area under the curve (AUC) of BMS in diagnosing of acute bacterial meningitis was 95.6% (95%CI: 92.3%, 99%). A BMS score of greater than 2.5 indicates a high likelihood of acute bacterial meningitis, whereas a score less than 2.5 indicates a low likelihood.
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Affiliation(s)
- Imas R Palupi
- Department of Neurology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
- Department of Neurology, Dr. Soetomo Hospital, Surabaya, Indonesia
| | - Paulus Sugianto
- Department of Neurology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
- Department of Neurology, Dr. Soetomo Hospital, Surabaya, Indonesia
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Memar MY, Varshochi M, Shokouhi B, Asgharzadeh M, Kafil HS. Procalcitonin: The marker of pediatric bacterial infection. Biomed Pharmacother 2017; 96:936-943. [PMID: 29203386 DOI: 10.1016/j.biopha.2017.11.149] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 11/20/2017] [Accepted: 11/29/2017] [Indexed: 01/09/2023] Open
Abstract
Timely recognition of systemic bacterial infections in pediatric care setting is the basis for effective treatment and control. This review provides an overview of procalcitonin (PCT) as an early marker for the detection of severe, invasive bacterial infection in children. Almost all articles on biochemical property and clinical studies in PubMed and Scopus databases regarding their use in pediatric infections and the use of PCT as a marker of bacterial infections were examined. Various methods and analyzers are currently available for the evaluation of PCT. Employment of PCT in the identification of neonatal bacterial infection is a complex process in some conditions. Age specific cut-off, underlying syndrome, and maternal antibiotics usage should be considered when PCT is to be applied in neonates. PCT might be false-negative in these conditions. However, if used appropriately, it can lead to a higher specificity than other immunologic markers. Due to its correlation with the severity of infection, PCT can consequently be used as a prognostic indicator especially for sepsis and urinary tract infection. It is, therefore, a practical supplementary means for the identification of bacterial infections in pediatric health settings.
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Affiliation(s)
- Mohammad Yousef Memar
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mojtaba Varshochi
- Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Behrooz Shokouhi
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Asgharzadeh
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Samadi Kafil
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
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Gowin E, Januszkiewicz-Lewandowska D, Słowiński R, Błaszczyński J, Michalak M, Wysocki J. With a little help from a computer: discriminating between bacterial and viral meningitis based on dominance-based rough set approach analysis. Medicine (Baltimore) 2017; 96:e7635. [PMID: 28796045 PMCID: PMC5556211 DOI: 10.1097/md.0000000000007635] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Differential Diagnosis of bacterial and viral meningitis remains an important clinical problem. A number of methods to assist in the diagnoses of meningitis have been developed, but none of them have been found to have high specificity with 100% sensitivity.We conducted a retrospective analysis of the medical records of 148 children hospitalized in St. Joseph Children's Hospital in Poznań. In this study, we applied for the first time the original methodology of dominance-based rough set approach (DRSA) to diagnostic patterns of meningitis data and represented them by decision rules useful in discriminating between bacterial and viral meningitis. The induction algorithm is called VC-DomLEM; it has been implemented as software package called jMAF (http://www.cs.put.poznan.pl/jblaszczynski/Site/jRS.html), based on java Rough Set (jRS) library.In the studied group, there were 148 patients (78 boys and 70 girls), and the mean age was 85 months. We analyzed 14 attributes, of which only 4 were used to generate the 6 rules, with C-reactive protein (CRP) being the most valuable.Factors associated with bacterial meningitis were: CRP level ≥86 mg/L, number of leukocytes in cerebrospinal fluid (CSF) ≥4481 μL, symptoms duration no longer than 2 days, or age less than 1 month. Factors associated with viral meningitis were CRP level not higher than 19 mg/L, or CRP level not higher than 84 mg/L in a patient older than 11 months with no more than 1100 μL leukocytes in CSF.We established the minimum set of attributes significant for classification of patients with meningitis. This is new set of rules, which, although intuitively anticipated by some clinicians, has not been formally demonstrated until now.
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Affiliation(s)
| | - Danuta Januszkiewicz-Lewandowska
- Department of Oncology, Hematology and Bone Marrow Transplantation
- Department of Molecular Pathology, Institute of Human Genetics Polish Academy of Sciences
- Department of Medical Diagnostics
| | - Roman Słowiński
- Institute of Computing Science, Poznań University of Technology
| | | | | | - Jacek Wysocki
- Department of Health Promotion, Poznań University of Medical Sciences, Poznań, Poland
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Kapasi AJ, Dittrich S, González IJ, Rodwell TC. Host Biomarkers for Distinguishing Bacterial from Non-Bacterial Causes of Acute Febrile Illness: A Comprehensive Review. PLoS One 2016; 11:e0160278. [PMID: 27486746 PMCID: PMC4972355 DOI: 10.1371/journal.pone.0160278] [Citation(s) in RCA: 108] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 07/15/2016] [Indexed: 12/17/2022] Open
Abstract
Background In resource limited settings acute febrile illnesses are often treated empirically due to a lack of reliable, rapid point-of-care diagnostics. This contributes to the indiscriminate use of antimicrobial drugs and poor treatment outcomes. The aim of this comprehensive review was to summarize the diagnostic performance of host biomarkers capable of differentiating bacterial from non-bacterial infections to guide the use of antibiotics. Methods Online databases of published literature were searched from January 2010 through April 2015. English language studies that evaluated the performance of one or more host biomarker in differentiating bacterial from non-bacterial infection in patients were included. Key information extracted included author information, study methods, population, pathogens, clinical information, and biomarker performance data. Study quality was assessed using a combination of validated criteria from the QUADAS and Lijmer checklists. Biomarkers were categorized as hematologic factors, inflammatory molecules, cytokines, cell surface or metabolic markers, other host biomarkers, host transcripts, clinical biometrics, and combinations of markers. Findings Of the 193 citations identified, 59 studies that evaluated over 112 host biomarkers were selected. Most studies involved patient populations from high-income countries, while 19% involved populations from low- and middle-income countries. The most frequently evaluated host biomarkers were C-reactive protein (61%), white blood cell count (44%) and procalcitonin (34%). Study quality scores ranged from 23.1% to 92.3%. There were 9 high performance host biomarkers or combinations, with sensitivity and specificity of ≥85% or either sensitivity or specificity was reported to be 100%. Five host biomarkers were considered weak markers as they lacked statistically significant performance in discriminating between bacterial and non-bacterial infections. Discussion This manuscript provides a summary of host biomarkers to differentiate bacterial from non-bacterial infections in patients with acute febrile illness. Findings provide a basis for prioritizing efforts for further research, assay development and eventual commercialization of rapid point-of-care tests to guide use of antimicrobials. This review also highlights gaps in current knowledge that should be addressed to further improve management of febrile patients.
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Affiliation(s)
- Anokhi J. Kapasi
- Foundation for Innovative New Diagnostics (FIND), Campus Biotech Building B2 Level 0, 9 Chemin des Mines, 1202, Geneva, Switzerland
| | - Sabine Dittrich
- Foundation for Innovative New Diagnostics (FIND), Campus Biotech Building B2 Level 0, 9 Chemin des Mines, 1202, Geneva, Switzerland
| | - Iveth J. González
- Foundation for Innovative New Diagnostics (FIND), Campus Biotech Building B2 Level 0, 9 Chemin des Mines, 1202, Geneva, Switzerland
| | - Timothy C. Rodwell
- Foundation for Innovative New Diagnostics (FIND), Campus Biotech Building B2 Level 0, 9 Chemin des Mines, 1202, Geneva, Switzerland
- * E-mail:
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Jarrin I, Sellier P, Lopes A, Morgand M, Makovec T, Delcey V, Champion K, Simoneau G, Green A, Mouly S, Bergmann JF, Lloret-Linares C. Etiologies and Management of Aseptic Meningitis in Patients Admitted to an Internal Medicine Department. Medicine (Baltimore) 2016; 95:e2372. [PMID: 26765411 PMCID: PMC4718237 DOI: 10.1097/md.0000000000002372] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Several studies have focused on the clinical and biological characteristics of meningitis in order to distinguish between bacterial and viral meningitis in the emergency setting. However, little is known about the etiologies and outcomes of aseptic meningitis in patients admitted to Internal Medicine.The aim of the study is to describe the etiologies, characteristics, and outcomes of aseptic meningitis with or without encephalitis in adults admitted to an Internal Medicine Department.A retrospective cohort study was conducted in the Internal Medicine Department of the Lariboisière Hospital in Paris, France, from January 2009 to December 2011. Clinical and biological characteristics of aseptic meningitis were recorded. These included cerebrospinal fluid analysis, results of polymerase chain reaction testing, final diagnoses, and therapeutic management.The cohort included 180 patients fulfilling the criteria for aseptic meningitis with (n = 56) or without (n = 124) encephalitis. A definitive etiological diagnosis was established in 83 of the 180 cases. Of the cases with a definitive diagnosis, 73 were due to infectious agents, mainly enteroviruses, Herpes Simplex Virus 2, and Varicella Zoster Virus (43.4%, 16.8%, and 14.5% respectively). Inflammatory diseases were diagnosed in 7 cases. Among the 97 cases without definitive diagnoses, 26 (26.8%) remained free of treatment throughout their management whereas antiviral or antibiotic therapy was initiated in the emergency department for the remaining 71 patients. The treatment was discontinued in only 10 patients deemed to have viral meningitis upon admission to Internal Medicine.The prevalence of inflammatory diseases among patients admitted to internal medicine for aseptic meningitis is not rare (4% of overall aseptic meningitis). The PCR upon admission to the emergency department is obviously of major importance for the prompt optimization of therapy and management. However, meningitis due to viral agents or inflammatory diseases could also be distinguished according to several clinical and biological characteristics highlighted in this retrospective study. As recommendations are now available concerning the prescriptions of antiviral agents in viral meningitis, better therapeutic management is expected in the future.
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Affiliation(s)
- Irène Jarrin
- From the Assistance Publique Hôpitaux de Paris, Unit of Therapeutic Research, Department of Internal Medicine, Hôpital Lariboisière, Paris, France (IJ, PS, AL, MM, TM, VD, KC, GS, SM, J-FB, CLL); and Yorkleigh Surgery, Cheltenham, Gloucestershire, UK (AG)
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Konstantinidis T, Cassimos D, Gioka T, Tsigalou C, Parasidis T, Alexandropoulou I, Nikolaidis C, Kampouromiti G, Constantinidis T, Chatzimichael A, Panopoulou M. Can Procalcitonin in Cerebrospinal Fluid be a Diagnostic Tool for Meningitis? J Clin Lab Anal 2014; 29:169-74. [PMID: 24797775 DOI: 10.1002/jcla.21746] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Accepted: 01/10/2014] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND To study the levels of procalcitonin (PCT) in patients with meningitis and control group and compare them with established markers of infection--such as C-reactive protein (CRP), high-sensitivity CRP, and WBC--in cerebrospinal fluid (CSF) and assess the possible discriminative role of PCT in the differential diagnosis of meningitis from other noninfectious diseases. METHODS We studied CSF samples of patients from Intensive Care Unit, Internal Medicine, Neurology, Hematology, and Pediatric departments. The total number of patients included in the study was 58. The samples were divided into three groups: group 1 with bacterial meningitis (BM) central nervous system (n = 19); group 2 with viral meningitis (VM, n = 11); and group 3, control group, with noninfectious diseases (n = 28). RESULTS Values of PCT levels >0.5 ng/ml were considered as abnormal. In group 1, mean PCT levels were 4.714 ± 1.59 ng/ml. In group 2, all patients had PCT <0.5 ng/ml (0.1327 ± 0.03 ng/ml). In group 3, the mean PCT levels were <0.1 ng/ml. CONCLUSION PCT values in CSF can be very helpful in distinguishing BM from VM and other noninfectious diseases.
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Affiliation(s)
- Theocharis Konstantinidis
- Regional Public Health Laboratory, Hellenic Center for Disease Control and Prevention, Alexandroupolis, Greece
| | - Dimitrios Cassimos
- Paediatric Department, Medical School, Democritus University of Thrace, Komotini, Greece
| | - Theodora Gioka
- Immunology Department of Microbiology Laboratory, University General Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Christina Tsigalou
- Immunology Department of Microbiology Laboratory, University General Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Theodoros Parasidis
- Regional Public Health Laboratory, Hellenic Center for Disease Control and Prevention, Alexandroupolis, Greece
| | - Ioanna Alexandropoulou
- Regional Public Health Laboratory, Hellenic Center for Disease Control and Prevention, Alexandroupolis, Greece
| | - Christos Nikolaidis
- Regional Public Health Laboratory, Hellenic Center for Disease Control and Prevention, Alexandroupolis, Greece
| | - Georgia Kampouromiti
- Immunology Department of Microbiology Laboratory, University General Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Theodoros Constantinidis
- Laboratory of Hygiene and Environmental Protection, Medical School, Democritus University of Thrace, Komotini, Greece
| | | | - Maria Panopoulou
- Laboratory of Microbiology, Medical School, Democritus University of Thrace, Komotini, Greece
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