{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T01:21:11Z","timestamp":1788312071767,"version":"build-2803163510"},"reference-count":36,"publisher":"Walter de Gruyter GmbH","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,26]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_cclm-2018-0524_s_999_w2aab3b7c53b1b6b1aab1c16b1Aa\">\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Timely diagnosis of tuberculous meningitis (TBM) remains challenging. Molecular diagnostic tools are necessary, particularly in low- and middle-income countries. There is no approved commercial polymerase chain reaction (PCR) assay that can be used to detect <jats:italic>Mycobacterium tuberculosis<\/jats:italic> in non-respiratory samples, such as the cerebrospinal fluid (CSF). We aimed to validate the threshold cycle (Ct) cut-off points; calculate the operational characteristics of real-time PCR for detection of <jats:italic>M. tuberculosis<\/jats:italic> (MTb qPCR) in the CSF; and the inhibitory affect of CSF red blood cells (RBC) and total proteins on MTb qPCR.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2018-0524_s_998_w2aab3b7c53b1b6b1aab1c16b2Aa\">\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>A total of 334 consecutive participants were enrolled. Based on clinical, laboratory and imaging data, cases of suspected TBM were categorized as definite, probable, possible or not TBM cases. Receiver operating characteristic curve analysis was used to select the best discriminating Ct value.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2018-0524_s_997_w2aab3b7c53b1b6b1aab1c16b3Aa\">\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>For TBM cases categorized as definite or probable (n=21), the Ct validated for CSF (\u226439.5) improved the diagnostic performance of MTb qPCR on CSF samples. The sensitivity was 29%, specificity was 95%, positive predictive value was 26%, negative predictive value was 95%, efficiency was 90% and positive likelihood was 5.3. The CSF RBC and total protein did not affect the positivity of the MTb qPCR.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2018-0524_s_996_w2aab3b7c53b1b6b1aab1c16b4Aa\">\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>These data support the validation of a highly specific but low sensitive MTb qPCR assay for the TBM diagnosis using CSF samples. MTb qPCR contributes significantly to the diagnosis, mainly when associated with conventional microbiology tests and clinical algorithms.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/cclm-2018-0524","type":"journal-article","created":{"date-parts":[[2018,9,29]],"date-time":"2018-09-29T09:01:15Z","timestamp":1538211675000},"page":"556-564","source":"Crossref","is-referenced-by-count":10,"title":["Validation of <i>Mycobacterium tuberculosis<\/i> real-time polymerase chain reaction for diagnosis of tuberculous meningitis using cerebrospinal fluid samples: a pilot study"],"prefix":"10.1515","volume":"57","author":[{"given":"S\u00e9rgio M.","family":"de Almeida","sequence":"first","affiliation":[{"name":"Hospital de Cl\u00ednicas-UFPR, Se\u00e7\u00e3o de Virologia, Setor An\u00e1lises Cl\u00ednicas , Rua Padre Camargo, 280 , Curitiba, PR, 80060-240 , Brazil"},{"name":"Neuroinfection Outclinic, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"},{"name":"Virology Laboratory, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"},{"name":"Instituto de Pesquisa Pel\u00e9 Pequeno Pr\u00edncipe , Curitiba, Paran\u00e1 , Brazil , Phone\/Fax: +55 (41) 3360-7974"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Conrado M.","family":"Borges","sequence":"additional","affiliation":[{"name":"Neuroinfection Outclinic, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucas B.","family":"Santana","sequence":"additional","affiliation":[{"name":"Neuroinfection Outclinic, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Gilberto","family":"Golin","sequence":"additional","affiliation":[{"name":"Neuroinfection Outclinic, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L\u00edsia","family":"Correa","sequence":"additional","affiliation":[{"name":"Bacteriology Laboratory, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gislene B.","family":"Kussen","sequence":"additional","affiliation":[{"name":"Bacteriology Laboratory, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keite","family":"Nogueira","sequence":"additional","affiliation":[{"name":"Bacteriology Laboratory, Hospital de Clinicas , Universidade Federal do Paran\u00e1 , Curitiba, Paran\u00e1 , Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2018,9,29]]},"reference":[{"key":"2021021219385621236_j_cclm-2018-0524_ref_001_w2aab3b7c53b1b6b1ab2b1b1Aa","unstructured":"Wilder-Smith EP. 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