Abstract

The epidemiology of acute bacterial meningitis varies among settings, areas, and times. This study aimed to determine the clinical characteristics, the causative organisms and their antibiotic susceptibility, and the outcomes of patients with acute bacterial meningitis in Thai adults. This retrospective study included hospitalized patients aged ≥18 years diagnosed with acute bacterial meningitis at Siriraj Hospital during January 2002-December 2016. Of 390 patients, the median age was 48 years, 51% were male, and 80% had at least 1 underlying illness. Over half (54%) of patients had community-acquired bacterial meningitis (CBM), and 46% had nosocomial bacterial meningitis (NBM). The triad of acute bacterial meningitis (fever, headache, and neck stiffness) was found in 46% of CBM and 15% of NBM (P < .001). The causative organisms were identified in about half (53%) of patients. Most study patients (73%) received antibiotic treatment before the CSF collection. Causative organisms were identified more frequently in CBM (P < .001). Gram-positive cocci were more prevalent in CBM (P < .001), whereas Gram-negative bacilli were more common in NBM (P < .001). Streptococcus agalactiae (29%), Streptococcus pneumoniae (12%), and Streptococcus suis (11%) were most common in CBM, and all of them were sensitive to third-generation cephalosporins. Acinetobacter baumannii (19%), Klebsiella pneumoniae (16%), and Staphylococcus aureus (11%) were the most common organisms in NBM, and antibiotic-resistant isolates were frequently found among these organisms. Ceftriaxone monotherapy and meropenem plus vancomycin were the most common empiric antibiotic in CBM and NBM, respectively. Mortality was 19% among CBM and 23% among NBM (P = .338). HIV infection, alcoholism, pneumonia, shock, and disseminated intravascular coagulation were independent predictors of mortality. Mortality remains high among adults with acute bacterial meningitis in Thailand. A clinical practice guideline for acute bacterial meningitis should be developed that is based on local epidemiology and microbiology data.

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