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

• Published in: Revista do Instituto de Medicina Tropical de São Paulo
• Main Authors: Adrián Peñata, Santiago Mesa, Ana Leal, Tatiana Castaño, Julián Bustamante, Ospina Sigifredo
• Format: Article in Journal/Newspaper
• Language: English
• Published: Universidade de São Paulo (USP) 2020
• Subjects: Meningitis; Meningoencephalitis; Diagnosis; Multiplex PCR; Colombia; Arctic medicine. Tropical medicine; RC955-962; Infectious and parasitic diseases; RC109-216; Arctic
• Online Access: https://doi.org/10.1590/s1678-9946202062077; https://doaj.org/article/2ce45f9607124055a3a59f901c635c17

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.