BioMed Research International

BioMed Research International / 2017 / Article

Research Article | Open Access

Volume 2017 |Article ID 2975610 |

Fahmi Yousef Khan, Mohammed Abu-Khattab, Eman Abdulrahman Almaslamani, Abubaker Ahmed Hassan, Shehab Fareed Mohamed, Abdurrahman Ali Elbuzdi, Nada Yagoub Elmaki, Deshmukh Anand, Doiphode Sanjay, "Acute Bacterial Meningitis in Qatar: A Hospital-Based Study from 2009 to 2013", BioMed Research International, vol. 2017, Article ID 2975610, 8 pages, 2017.

Acute Bacterial Meningitis in Qatar: A Hospital-Based Study from 2009 to 2013

Academic Editor: Pere Domingo
Received08 Mar 2017
Revised10 May 2017
Accepted16 May 2017
Published13 Jul 2017


Background and Objectives. Bacterial meningitis is a common medical condition in Qatar. The aim of this study was to describe the clinical characteristics of bacterial meningitis, the frequency of each pathogen, and its sensitivity to antibiotics and risk factors for death. Patients and Methods. This retrospective study was conducted at Hamad General Hospital between January 1, 2009, and December 31, 2013. Results. We identified 117 episodes of acute bacterial meningitis in 110 patients. Their mean age was years (range: 2–74) and 81 (69.2%) of them were male patients. Fifty-nine episodes (50.4%) were community-acquired infection and fever was the most frequent symptom (94%), whereas neurosurgery is the most common underlying condition. Coagulase-negative staphylococci were the most common causative agent, of which 95% were oxacillin-resistant, while 63.3% of Acinetobacter spp. showed resistance to meropenem. The in-hospital mortality was 14 (12%). Only the presence of underlying diseases, hypotension, and inappropriate treatment were found to be independent predictors of mortality. Conclusion. Acute bacterial meningitis predominantly affected adults and coagulase-negative staphylococci species were the common causative agent in Qatar with majority of infections occurring nosocomially. More than 90% of all implicated coagulase-negative staphylococci strains were oxacillin-resistant.

1. Introduction

Despite medical advances, acute bacterial meningitis (ABM) constitutes a global public health problem, especially in developing countries with poor health facilities due to high rates of malnutrition, poor living conditions, and lack of access to appropriate preventive and curative services that may predispose people to the disease and reduce their chances of receiving optimal treatment [1, 2]. In developed countries, the burden of the disease has reduced and its epidemiology has changed as a result of the widespread use of vaccines against the most common meningeal pathogens [3].

Accurate information on important etiologic agents and populations at risk is needed to determine public health measures and ensure appropriate management of ABM [3]. In Qatar, although ABM is a common medical condition that physicians face, there are few reports describing this disease [46]. We conducted the present study, the purposes of which were to (1) describe the demographic and clinical characteristics of ABM, (2) determine the relative frequency of each pathogen and its susceptibility to various antimicrobial agents, and (3) determine the outcome and the significant predictors of the outcome among patients with ABM in Qatar.

2. Materials and Methods

2.1. Design and Setting

This retrospective descriptive study, which involved all in-patients with ABM, was conducted at Hamad General Hospital between January 1, 2009, and December 31, 2013. This hospital is a 603-bed tertiary care center that covers all specialties except for hematology-oncology, cardiology, and obstetrics and it has been Joint Commission International (JCI) accredited since 2006 and is the first hospital system in the region to achieve institutional accreditation from the Accreditation Council for Graduate Medical Education-International (ACGME-I). Currently, there are three adult ICUs in Hamad General Hospital, namely, Medical ICU (MICU) with 22 beds, Surgical ICU (SICU) with 12 beds, and Trauma ICU (TICU) with 15 beds.

2.2. Definitions

ABM was diagnosed on the basis of at least one of the following compatible clinical pictures with no other apparent cause: fever (38°C), headache, meningeal signs, cranial nerve signs, and impaired mental status, plus one of the following [7, 8]:(1)Positive cerebrospinal fluid (CSF) culture(2)Positive CSF bacterial antigen test (with latex agglutination counterimmunoelectrophoresis) associated with pleocytosis mainly neutrophilic, defined as absolute WBC ≥ 100 cells/mm3, with a decreased glucose level ≤ 40 mg/dL and an increased protein concentration ≥ 60 mg/dL.

ABM was considered nosocomial if the diagnosis was made after more than 48 hours of hospitalization or within a short period of time (i.e., usually within one month after discharge from the hospital where the patient had received an invasive procedure, especially a neurosurgical procedure) [9]. On the other hand, ABM was considered as community-acquired if the diagnosis was made within the first 48 hours of hospitalization and the patient was not hospitalized in the preceding month [10]. Empirical antimicrobial therapy was deemed to be inappropriate if the antibiotics were administered more than 24 hours after CSF collection and/or when the dosage, route, and duration of treatment were not in accordance with hospital guidelines [11]. Hypotension was defined as blood pressure < 90/60 mmHg. Multidrug-resistant organisms are defined as microorganisms, predominantly bacteria, that are resistant to one or more classes of antimicrobial agents [12].

Viral, fungal, mycobacterial, polymicrobial, and drug induced meningitis were excluded. ABM episodes with the same organism were included only once. Coagulase-negative staphylococci and viridans streptococci are considered as causative agents if CSF showed pleocytosis mainly neutrophilic, defined as absolute WBC ≥ 100 cells/mm3, or a decreased glucose level ≤ 40 mg/dL or an increased protein concentration ≥ 60 mg/dL. The primary outcome was in-hospital mortality which included all causes of death during admission.

2.3. Isolation, Identification, and Antimicrobial Susceptibility Test of Microorganisms

Identification of isolates was based on colony morphology, Gram stain, oxidase, catalase, VITEK 2 Compact (bioMérieux, Durham, USA), and Phoenix (Becton Dickinson, NJ, USA). The antimicrobial minimal inhibitory concentrations (MICs) for the isolates were determined by using Phoenix (Becton Dickinson, NJ, USA) for GNB and staphylococci and enterococci (among Gram-positive cocci). For fastidious bacteria, susceptibility was determined with a gradient strip method (-test strips, bioMérieux, Marcy-l'Étoile, France). The breakpoint interpretation was determined according to the recommendations of the Clinical Laboratory Standards Institute (CLSI) [13].

2.4. Source of Data and Data Collection

Cases were identified via hospital’s discharge records, infection control records, and cerebrospinal fluid records maintained by the microbiology unit. These records were reviewed carefully by two investigators, in order not to miss any case. Records of all patients with bacterial meningitis were reviewed retrospectively to retrieve data on patients’ demography, sign-symptoms, underlying medical conditions, investigations, names of microorganisms and their drug susceptibility, name and duration of therapy offered, appropriateness of therapy, and outcome.

2.5. Statistical Analysis

Quantitative variables were expressed as mean ± SD. Univariate logistic regression was performed to determine the probable predictors of in-hospital mortality. All potential risk factors at ≤0.1 level in the univariate analysis were entered in the multiple logistic regression to identify the independent predictors of mortality at . The data were analyzed with SPSS software (v 17; IBM Corp., Armonk, NY, USA).

2.6. Ethical Approval

Ethical approval (#13254/13) and a waiver of informed consent were obtained from the medical research ethical committee at Hamad Medical Corporation, Qatar.

3. Results

3.1. Demographic and Clinical Data

During the study period, we identified 117 episodes of ABM in 110 patients. There were 43, 22, 21, 12, and 18 episodes in 2009, 2010, 2011, 2012, and 2013, respectively. The study sample comprised 81 (69.2%) male and 29 (30.8%) female patients. Their mean age was years (range: 2–74), and 28 (23.9%) patients were Qatari. The peak frequency of ABM episodes was noted among adults (15–64 years old) (92.3%) (see Table 1). From a clinical point of view, fever was the most frequent symptom (110, 94%), followed by mental alteration (55, 47%), headache (43, 36.8%), and vomiting (35, 29.9%). Moreover, meningismus was detected in 31 (26.5%) patients (see Table 1).

VariableNumber (%), mean ± SD (range)

M81 (69.2)
F29 (30.8)
Age (mean ± SD), years26.4 ± 22.3 (2–74)
Age group (years)
<126 (22.2)
1–511 (9.4)
6–146 (5.1)
15–2412 (10.3)
25–3413 (11.1)
35–4417 (14.5)
45–5423 (19.7)
55–646 (5.1)
≥653 (2.6)
Qatari28 (23.9)
Non-Qatari82 (76.1)
Underlying conditions
Diabetes mellitus9 (7.7)
Hypertension26 (22.2)
Head injury6 (5.1)
Neurosurgery54 (46.2)
Alcoholic4 (3.4)
Prematurity7 (6.0)
Liver cirrhosis1 (0.9)
Otitis media5 (4.3)
Malignancy8 (6.8)
Immunosuppression2 (1.7)
Clinical presentation
Fever110 (94)
Mental alteration55 (47)
Headache43 (36.8)
Vomiting35 (29.9)
Meningism31 (26.5)
Seizures23 (19.7)
Bulging fontanel16 (13.7)
Hypotension (BP < 90/60 mmHg)12 (10.2)
Focal signs11 (9.4)
Photophobia7 (6.0)
Behavioral changes3 (2.6)
Petechial rash3 (2.6)
Hydrocephalus19 (16.2)
Ischemic stroke5 (4.3)
Brain abscess4 (3.4)
Subdural empyema1 (0.9)
Adrenal insufficiency1 (0.9)
Vasculitis1 (0.9)

3.2. Underlying Conditions

The most frequent underlying conditions were neurosurgery (54, 46.2%), hypertension (26, 22.2%), and diabetes mellitus (9, 7.7%) (see Table 1).

3.3. Cerebrospinal Fluid (CSF) Findings

The CSF findings of the 117 ABM episodes are listed in Table 2.

VariableNumber (%), mean ± SD (range)

Acquisition of infection
Community-acquired59 (50.4)
Nosocomial58 (49.6)
Cells/µL3880.4 ± 8654.6 (20–66000)
Neutrophils%74.1 ± 26.1 (1–99)
Lymphocytes%22.9 ± 24.8 (1–98)
Protein (g/dL)222.8 ± 205.9 (38–936)
Glucose (mmol/L)2.1 ± 1.6 (0.1–6)
Positive Gram stain93 (79.5)
Positive culture112 (95.7)
Positive latex agglutination23 (19.7)
Type of microorganism
Gram-positive62 (53)
Gram-negative55 (47)
Positive blood culture37 (31.6)
Antimicrobial therapy
Appropriate97 (82.9)
Inappropriate20 (17.1)
Died14 (12.0)
Alive103 (88.0)

3.4. Setting of Infection and Types and Distributions of the Microorganisms

Fifty-nine episodes (50.4%) were community-acquired and the other 58 (49.6%) were nosocomially acquired ABM (see Table 3). The causative pathogens of the 117 enrolled ABM episodes are listed in Tables 3 and 4. Gram-positive pathogens accounted for 62 (53%) episodes and Gram-negative pathogens accounted for the other 55 (47%). In general, the most common causative agent of ABM in our cohort was coagulase-negative staphylococci; however, among the 59 community-acquired meningitis cases, the most common etiological agent was Streptococcus pneumoniae, whereas coagulase-negative staphylococci species were the leading cause of nosocomially acquired ABM. Among the implicated Gram-positive pathogens, coagulase-negative staphylococci were the most common (20, 17%), followed by Streptococcus pneumoniae (19, 16.2%). Among Gram-negative pathogens, Klebsiella pneumoniae was the most common (12, 10.2%) followed by Neisseria meningitidis (11, 9.4%).

Microorganism Setting of acquisitionTotal

Abiotrophia species1 (100)01
Enterococcus faecalis 5 (71.4)2 (28.6)7
Enterococcus gallinarum 1 (100)01
Gemella haemolysans1 (100)01
Leuconostoc species1 (100)01
Listeria monocytogenes03 (100)3
Staphylococcus aureus01 (100)1
Staphylococcus capitis2 (100)02
Staphylococcus epidermidis14 (87.5)2 (12.5)16
Staphylococcus haemolyticus2 (100)02
Streptococcus agalactiae03 (100)3
Streptococcus bovis II01 (100)1
Streptococcus intermedius 01 (100)1
Streptococcus milleri 01 (100)1
Streptococcus mitis 01 (100)1
Streptococcus pneumoniae 019 (100)19
Streptococcus salivarius01 (100)1
Acinetobacter baumannii8 (100)08
Acinetobacter lwoffii 2 (66.7)1 (33,3)3
Brucella spp.01 (100)1
Chryseobacterium (Flavobacterium) meningosepticum01 (100)1
Chryseobacterium indologenes01 (100)1
Enterobacter aerogenes1 (100)01
Enterobacter cloacae3 (100)03
Escherichia coli3 (75)1 (25)4
Haemophilus influenzae1 (50)1 (50)2
Klebsiella pneumoniae ssp. pneumoniae7 (58.3)5 (41.7)12
Neisseria meningitides011 (100)11
Pseudomonas aeruginosa5 (100)05
Pseudomonas putida1 (100)01
Salmonella group B01 (100)1
Serratia marcescens 01 (100)1

Microorganism Age groupTotal

Abiotrophia species0000010001 (0.8)
Acinetobacter baumannii0000023218 (6.8)
Acinetobacter lwoffii0110100003 (2.6)
Brucella spp.0000001001 (0.8)
Chryseobacterium (Flavobacterium) meningosepticum1000000001 (0.8)
Chryseobacterium indologenes1000000001 (0.8)
Enterobacter aerogenes1000000001 (0.8)
Enterobacter cloacae0000012003 (2.6)
Enterococcus faecalis2100012107 (5.9)
Enterococcus gallinarum0000001001 (0.8)
Escherichia coli2100010004 (3.4)
Gemella haemolysans0001000001 (0.8)
Haemophilus influenzae0101000002 (1.6)
Klebsiella pneumoniae ssp. pneumoniae20021142012 (10.3)
Leuconostoc species0000001001 (0.8)
Listeria monocytogenes3000000003 (2.6)
Neisseria meningitidis01033120111 (9.4)
Pseudomonas aeruginosa (PSA)0010211005 (4.2)
Pseudomonas putida0000100001 (0.8)
Salmonella group B1000000001 (0.8)
Serratia marcescens1000000001 (0.8)
Staphylococcus aureus0010000001 (0.8)
Staphylococcus capitis0000011002 (1.6)
Staphylococcus epidermidis62021311016 (13.6)
Staphylococcus haemolyticus0000110002 (1.6)
Streptococcus agalactiae2000000013 (2.6)
Streptococcus bovis II1000000001 (0.8)
Streptococcus intermedius0000010001 (0.8)
Streptococcus milleri0001000001 (0.8)
Streptococcus mitis0100000001 (0.8)
Streptococcus pneumoniae32323240019 (16.2)
Streptococcus salivarius0100000001 (0.8)

Total26 (22.2)11 (9.4)6 (5.1)12 (10.3)13 (11.1)17 (14.5)23 (19.7)6 (5.1)3 (2.6)117 (100)

3.5. Trends of Antimicrobial Susceptibility

Details of antimicrobial susceptibility are shown in Tables 5 and 6. Among the Gram-positive cases, 3 (18.6%) episodes of Streptococcus pneumoniae were resistant to ceftriaxone, while out of all coagulase-negative staphylococci isolates, 19 (95%) were methicillin-resistant. Among the Gram-negative cases, 100% of Chryseobacterium species were resistant to meropenem and colistin, while 63.3% of Acinetobacter species showed resistance to meropenem but none for colistin. All Pseudomonas spp. were sensitive to piperacillin-tazobactam and meropenem. Among Klebsiella isolates, 2 (16.6%) were extended spectrum beta-lactamase (ESBL) producers, but all of them were sensitive to meropenem and colistin. Of the 11 episodes with Neisseria meningitides infection, rifampicin resistance was found in 2 (25%). Multidrug resistance was observed in 38 (32.4%) of all episodes.

Microorganisms TNPpenampoxcerytclindamclvcotrcfrvanlineteic

Abiotrophia spp.100NT0000NT0NTNT
Enterococcus faecalis7NT0NTNTNTNTNTNT000
Enterococcus gallinarum1NT0NTNTNTNTNTNT1 (100)00
Gemella haemolysans100NTNTNTNTNT00NTNT
Leuconostoc species100NTNT00NT1 (100)1 (100)00
Listeria monocytogenes300NTNTNTNT0NTNTNTNT
Staphylococcus aureus11 (100)1 (100)NT0000NT000
Coagulase-negative staphylococci2020 (100)20 (100)19 (95)19 (95)10 (50)20 (100)9 (45)NT000
Streptococcus spp.81 (0.2)1 (0.2)01 (0.2)1 (0.2)01 (0.2)1 (0.2)000
Streptococcus pneumoniae196 (31.5)6 (31.5)6 (31.5)6 (31.5)6 (31.5)6 (31.5)3 (15.7)3 (15.7)000

TNP: total number of patients; pen: penicillin; amp: ampicillin; oxc: oxacillin; eryt: erythromycin; clind: clindamycin; amclv: amoxicillin/clavulanic acid; cotr: cotrimoxazole; cfr: ceftriaxone; van: vancomycin; line: linezolid; teic: teicoplanin; NT: not tested.

Microorganisms TNPcfrgenfeptazcipamclvctzamkmempenrifcoltig

Acinetobacter spp.118 (72.7)8 (72.7)8 (72.7)8 (72.7)7 (63.6)NT7 (63.6)7 (63.6)7 (63.6)NTNT00
Chryseobacterium spp.21 (50)2 (100)01 (50)0NT2 (100)2 (100)2 (100)NTNT2 (100)2 (100)
Enterobacter species43 (75)01 (25)3 (75)04 (100)3 (75)00NTNTNTNT
Escherichia coli41 (25)1 (25)1 (25)01 (25)1 (25)1 (25)00NTNTNTNT
Haemophilus influenzae20NT00NT0NTNTNTNTNTNTNT
Klebsiella pneumoniae ssp. pneumoniae123 (25)03 (25)2 (16.6)2 (16.6)7 (58.3)4 (33.3)00NTNT00
Neisseria meningitidis80NT002 (25)0NTNT002 (25)NTNT
Pseudomonas aeruginosa 5NT0000NT000NTNT00
Pseudomonas putida1NT0000NT000NTNT00
Salmonella group B101 (100)0000000NTNTNTNT
Serratia marcescens1000001 (100)000NTNTNTNT

TNP: total number of patients; cfr: ceftriaxone; gen: gentamicin; fep: cefepime; taz: piperacillin/tazobactam; cip: ciprofloxacin; amclv: amoxicillin/clavulanic acid; ctz: ceftazidime; amk: amikacin; mem: meropenem; pen: penicillin; rif: rifampicin; col: colistin; tig: tigecycline; NT: not tested.
3.6. Treatment and Outcome

Antimicrobial treatment was initiated for all patients. Ceftriaxone plus vancomycin combination was the most widely used antimicrobial treatment followed by meropenem. Empiric therapy was inappropriate in 20 (17.1%) episodes. The crude in-hospital mortality in our study was 14 (12%).

3.7. Univariate and Multivariate Logistic Regression Analysis of Factors Associated with Death

By the univariate analysis, the following variables were found to be probable predictors of in-hospital mortality: presence of underlying diseases, nosocomial infection, multidrug-resistant episodes, hypotension, mental alteration, and inappropriate treatments (see Table 7). Only the presence of underlying diseases, hypotension, and inappropriate treatment were found to be independent predictors of mortality by multivariate logistic regression analysis (see Table 8).

VariableUnadjusted odds ratio (95% CI) value

Presence of underlying diseases2.4 (1.4–3.9)0.001
Nosocomial infection3.2 (1.5–6.5)0.1
Multidrug-resistant episodes4.7 (3.8–5.7)0.08
Mental alteration4.9 (1.0–24.0)0.06
Hypotension2.3 (0.7–7.3)0.003
Inappropriate treatments1.9 (1.2–3.07)0.01

VariableAdjusted odds ratio (95% CI) value

Presence of underlying diseases1.8 (1.03–3.2)0.02
Hypotension3.2 (1.4–7.3)0.04
Inappropriate treatments1.7 (1.0–2.8)0.01

4. Discussion

Acute bacterial meningitis is a serious disease which necessitates early diagnosis and aggressive therapy to improve prognosis. Regional information regarding demographic data of patients, associated underlying conditions, etiology, and antimicrobial susceptibility is essential for correct and timely management of this disorder. Our study was the first to attempt to determine the clinical picture and the spectrum of pathogens of bacterial meningitis in patients of all ages in Qatar.

This retrospective series revealed some observations that deserve attention: firstly, in contrast with the previous study [6], the trend was seen to decrease from 2009 to 2013. Among the total 117 episodes, 43 (36.7%) were reported in the year 2009, which decreased to 18 (15.4%) in 2013. Furthermore, the disease in our series predominantly affected adults rather than infants and young children. This picture is similar to what was found in west countries and it may be attributed to vaccine-related decline in H. influenzae and pneumococcal diseases [3, 9, 14, 15]. These data show that adults are the main target population which requires interventions to prevent and control diseases in Qatar.

Secondly, sex distribution of the disease showed male predominance in agreement with the previous report [6] and other reports from different countries [9, 10, 1619]. The reason for this is obscure, and further studies are needed to identify the cause.

Thirdly, compared with the previous studies [4, 6], changes of common causative pathogens of ABM had been noted in our series. Coagulase-negative staphylococci species were the most common causative agents followed by Streptococcus pneumoniae. This can be explained by the expansion of neurosurgical services in our hospital with a consequent increase in the number of patients with postneurosurgical state. Similarly, reports from Taiwan [1518] showed that there has been an increasing incidence of staphylococcal infection in ABM patients. However, in agreement with many reports worldwide [2, 7, 2023], Streptococcus pneumoniae remain the common causative agent for community-acquired infection in our study.

Fourthly, drug resistance pattern showed that 95% of the implicated coagulase-negative staphylococci species were oxacillin-resistant and 63.3% of the implicated Acinetobacter species were meropenem-resistant. Both infections were predominantly nosocomial, which raised doubt regarding the infection control program in our hospital. Moreover, these findings result in therapeutic challenge in the choice of empiric antibiotics in the initial management of ABM. These findings are consistent with reports coming from Taiwan recently [9, 18, 19]. Fortunately, so far, we have not encountered vancomycin-resistant coagulase-negative staphylococci strains or colistin-resistant Acinetobacter strains.

Finally, in an attempt to identify independent predictors of mortality in patients with ABM, many studies had been conducted. The concluded prognostic factors among these studies were diverse [9, 10, 18, 19, 22, 23]. Our study revealed many probable prognostic factors; however, only the presence of underlying diseases, hypotension, and inappropriate treatment were found to be independent predictors of mortality by multivariate logistic regression analysis.

This hospital-based study has the following limitations. First, the study was retrospective rather than prospective, and this design did not allow us to obtain additional details such as severity of the disease and long-term follow-up to evaluate the long-term sequelae of meningitis in our patients. Second, it was performed at a single hospital; the results may not be applicable to other hospitals. Third, we included patients who had a positive CSF culture or positive CSF bacterial antigen test.

Despite these limitations, we believe that our study remains the largest to date to provide comprehensive information on the epidemiology of ABM in Qatar.

In conclusion, our study revealed that there is a change in the predominantly affected age group and common causative agents of ABM. Coagulase-negative staphylococci species are the common causative agent in Qatar with majority of infections occurring nosocomially. More than 90% of all implicated coagulase-negative staphylococci strains were oxacillin-resistant. Thus, improving our infection control programs in addition to enhancing antimicrobial stewardship is essential to overcome this problem.

Conflicts of Interest

The authors declare that they have no conflicts of interest.


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Copyright © 2017 Fahmi Yousef Khan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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