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      Molecular diagnosis of meningitis and meningoencephalitis with an automated real-time multiplex polymerase chain reaction in a tertiary reference complex in Medellín, Colombia

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          ABSTRACT

          Meningoencephalitis is a syndrome of multiple etiologies associated with important morbidity and mortality. It may be caused by various infectious agents (viruses, bacteria, parasites and fungi). Establishing the etiology of meningoencephalitis is crucial for early and specific treatment. Molecular assays such as the multiplex polymerase chain reaction (PCR) offer an alternative in diagnosing central nervous system infections. This study aimed to describe the performance of an automated multiplex molecular test from patients with suspected meningitis and meningoencephalitis in a tertiary referral complex in Medellin, Colombia. Thus, a prospective study was performed in 638 cerebrospinal fluid samples from January 2017 to July 2019. Molecular detections were carried out by means of the FilmArray ® Meningitis/Encephalitis (M/E) Panel from bioMérieux, France, and by conventional tests. Univariate analyses for microbiological and demographic characteristics were performed. Accuracy of the bacterial/fungal PCR assay compared to cultures was also performed. Among patients, 57.7% were male, the median age was 24 (IQR: 6 - 47) years old. The overall positivity was 15.2% (97 detections) and viruses were detected in 45.5% of the samples, bacteria in 43.5% and fungi in 10.8%. The most frequent etiological agents were: Streptococcus pneumoniae (16%), Cryptococcus neoformans/gatti (11.3%) and Herpes simplex virus (10.3%). Four double detections were found. Almost half of positive detections were in patients under 15 years old. This molecular approach is reliable and easily implantable into a laboratory routine, increasing the capacity of detection of bacterial and viral causative agents of meningitis, possibly playing a relevant role in the clinical context.

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          Most cited references35

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          Multicenter Evaluation of BioFire FilmArray Meningitis/Encephalitis Panel for Detection of Bacteria, Viruses, and Yeast in Cerebrospinal Fluid Specimens

          Rapid diagnosis and treatment of infectious meningitis and encephalitis are critical to minimize morbidity and mortality. Comprehensive testing of cerebrospinal fluid (CSF) often includes Gram stain, culture, antigen detection, and molecular methods, paired with chemical and cellular analyses. These methods may lack sensitivity or specificity, can take several days, and require significant volume for complete analysis. The FilmArray Meningitis/Encephalitis (ME) Panel is a multiplexed in vitro diagnostic test for the simultaneous, rapid (∼1-h) detection of 14 pathogens directly from CSF specimens: Escherichia coli K1, Haemophilus influenzae , Listeria monocytogenes , Neisseria meningitidis , Streptococcus pneumoniae , Streptococcus agalactiae , cytomegalovirus, enterovirus, herpes simplex virus 1 and 2, human herpesvirus 6, human parechovirus, varicella-zoster virus, and Cryptococcus neoformans / Cryptococcus gattii . We describe a multicenter evaluation of 1,560 prospectively collected CSF specimens with performance compared to culture (bacterial analytes) and PCR (all other analytes). The FilmArray ME Panel demonstrated a sensitivity or positive percentage of agreement of 100% for 9 of 14 analytes. Enterovirus and human herpesvirus type 6 had agreements of 95.7% and 85.7%, and L. monocytogenes and N. meningitidis were not observed in the study. For S. agalactiae , there was a single false-positive and false-negative result each, for a sensitivity and specificity of 0 and 99.9%, respectively. The specificity or negative percentage of agreement was 99.2% or greater for all other analytes. The FilmArray ME Panel is a sensitive and specific test to aid in diagnosis of ME. With use of this comprehensive and rapid test, improved patient outcomes and antimicrobial stewardship are anticipated.
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            The effects of hormones on sex differences in infection: from genes to behavior.

            S L Klein (2000)
            Males of many species are more susceptible than females to infections caused by parasites, fungi, bacteria, and viruses. One proximate cause of sex differences in infection is differences in endocrine-immune interactions. Specifically, males may be more susceptible to infection than females because sex steroids, specifically androgens in males and estrogens in females, modulate several aspects of host immunity. It is, however, becoming increasingly more apparent that in addition to affecting host immunity, sex steroid hormones alter genes and behaviors that influence susceptibility and resistance to infection. Thus, males may be more susceptible to infection than females not only because androgens reduce immunocompetence, but because sex steroid hormones affect disease resistance genes and behaviors that make males more susceptible to infection. Consideration of the cumulative effects of sex steroid hormones on susceptibility to infection may serve to clarify current discrepancies in the literature and offer alternative hypotheses to the view that sex steroid hormones only alter susceptibility to infection via changes in host immune function.
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              Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

              Summary Background Acute meningitis has a high case-fatality rate and survivors can have severe lifelong disability. We aimed to provide a comprehensive assessment of the levels and trends of global meningitis burden that could help to guide introduction, continuation, and ongoing development of vaccines and treatment programmes. Methods The Global Burden of Diseases, Injuries, and Risk Factors (GBD) 2016 study estimated meningitis burden due to one of four types of cause: pneumococcal, meningococcal, Haemophilus influenzae type b, and a residual category of other causes. Cause-specific mortality estimates were generated via cause of death ensemble modelling of vital registration and verbal autopsy data that were subject to standardised data processing algorithms. Deaths were multiplied by the GBD standard life expectancy at age of death to estimate years of life lost, the mortality component of disability-adjusted life-years (DALYs). A systematic analysis of relevant publications and hospital and claims data was used to estimate meningitis incidence via a Bayesian meta-regression tool. Meningitis deaths and cases were split between causes with meta-regressions of aetiological proportions of mortality and incidence, respectively. Probabilities of long-term impairment by cause of meningitis were applied to survivors and used to estimate years of life lived with disability (YLDs). We assessed the relationship between burden metrics and Socio-demographic Index (SDI), a composite measure of development based on fertility, income, and education. Findings Global meningitis deaths decreased by 21·0% from 1990 to 2016, from 403 012 (95% uncertainty interval [UI] 319 426–458 514) to 318 400 (265 218–408 705). Incident cases globally increased from 2·50 million (95% UI 2·19–2·91) in 1990 to 2·82 million (2·46–3·31) in 2016. Meningitis mortality and incidence were closely related to SDI. The highest mortality rates and incidence rates were found in the peri-Sahelian countries that comprise the African meningitis belt, with six of the ten countries with the largest number of cases and deaths being located within this region. Haemophilus influenzae type b was the most common cause of incident meningitis in 1990, at 780 070 cases (95% UI 613 585–978 219) globally, but decreased the most (–49·1%) to become the least common cause in 2016, with 397 297 cases (291 076–533 662). Meningococcus was the leading cause of meningitis mortality in 1990 (192 833 deaths [95% UI 153 358–221 503] globally), whereas other meningitis was the leading cause for both deaths (136 423 [112 682–178 022]) and incident cases (1·25 million [1·06–1·49]) in 2016. Pneumococcus caused the largest number of YLDs (634 458 [444 787–839 749]) in 2016, owing to its more severe long-term effects on survivors. Globally in 2016, 1·48 million (1·04—1·96) YLDs were due to meningitis compared with 21·87 million (18·20—28·28) DALYs, indicating that the contribution of mortality to meningitis burden is far greater than the contribution of disabling outcomes. Interpretation Meningitis burden remains high and progress lags substantially behind that of other vaccine-preventable diseases. Particular attention should be given to developing vaccines with broader coverage against the causes of meningitis, making these vaccines affordable in the most affected countries, improving vaccine uptake, improving access to low-cost diagnostics and therapeutics, and improving support for disabled survivors. Substantial uncertainty remains around pathogenic causes and risk factors for meningitis. Ongoing, active cause-specific surveillance of meningitis is crucial to continue and to improve monitoring of meningitis burdens and trends throughout the world. Funding Bill & Melinda Gates Foundation.
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                Author and article information

                Journal
                Rev Inst Med Trop Sao Paulo
                Rev Inst Med Trop Sao Paulo
                rimtsp
                Revista do Instituto de Medicina Tropical de São Paulo
                Instituto de Medicina Tropical
                0036-4665
                1678-9946
                09 October 2020
                2020
                : 62
                : e77
                Affiliations
                [1 ]Hospital Universitario San Vicente Fundación, Grupo Biología Molecular e Inmunología de Trasplantes, Medellín, Colombia
                [2 ]Universidad de Antioquia, Escuela de Microbiología, Medellín, Colombia
                [3 ]Universidad de Antioquia, Facultad de Medicina, Medellín, Colombia
                Author notes
                Correspondence to: Adrían Peñata Hospital Universitario San Vicente Fundación, Calle 64 # 51D - 154, 054010, Medellín, Antioquia, Colombia Tel: +57 34 444 13 33 ext 3106 E-mail: carlosadrianpb@ 123456gmail.com

                AUTHORS’ CONTRIBUTIONS

                Adrián Peñata: conception, design, analysis of data and article writing; Santiago Mesa: laboratory tests and database management; Ana Leal: laboratory tests and database management; Tatiana Castaño: interpretation of data and analysis; Julián Bustamante: interpretation of data and analysis; Sigifredo Ospina: supervised the study, interpretation of data and article writing review. All the authors read and approved the final version of the manuscript.

                Author information
                http://orcid.org/0000-0002-7515-6718
                http://orcid.org/0000-0002-1278-5111
                http://orcid.org/0000-0003-4105-3865
                http://orcid.org/0000-0002-3067-2436
                http://orcid.org/0000-0003-1738-0997
                http://orcid.org/0000-0002-1241-4177
                Article
                00236
                10.1590/S1678-9946202062077
                7552990
                33053146
                8ef56b4b-ac4c-46cb-bbf3-42108387ab27

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 April 2020
                : 15 September 2020
                Page count
                Figures: 1, Tables: 4, Equations: 0, References: 35
                Categories
                Original Article

                meningitis,meningoencephalitis,diagnosis,multiplex pcr,colombia

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