Abstract

Background

The autotransporter protein Burkholderia intracellular motility A (BimA) facilitates the entry of Burkholderia pseudomallei into the central nervous system (CNS) in mouse models of melioidosis. Its role in the pathogenesis of human cases of CNS melioidosis is incompletely defined.

Methods

Consecutive culture-confirmed cases of melioidosis at 2 sites in tropical Australia after 1989 were reviewed. Demographic, clinical, and radiological data of the patients with CNS melioidosis were recorded. The bimA allele (bimABm or bimABp) of the B. pseudomallei isolated from each patient was determined.

Results

Of the 1587 cases diagnosed at the 2 sites during the study period, 52 (3.3%) had confirmed CNS melioidosis: 20 (38.5%) had a brain abscess, 18 (34.6%) had encephalomyelitis, 4 (7.7%) had isolated meningitis, and 10 (19.2%) had extra-meningeal disease. Among the 52 patients, there were 8 (15.4%) deaths; 17/44 (38.6%) survivors had residual disability. The bimA allele was characterized in 47/52; 17/47 (36.2%) had the bimABm allele and 30 (63.8%) had the bimABp allele. Patients with a bimABm variant were more likely to have a predominantly neurological presentation (odds ratio [OR]: 5.60; 95% confidence interval: 1.52–20.61; P = .01), to have brainstem involvement (OR: 7.33; 1.92–27.95; P = .004), and to have encephalomyelitis (OR: 4.69; 1.30–16.95; P = .02). Patients with a bimABm variant were more likely to die or have residual disability (OR: 4.88; 1.28–18.57; P = .01).

Conclusions

The bimA allele of B. pseudomallei has a significant impact on the clinical presentation and outcome of patients with CNS melioidosis.

Melioidosis is caused by Burkholderia pseudomallei, a gram-negative bacterium that lives in the soil and surface water in tropical regions [1, 2]. The vast majority of B. pseudomallei infections are subclinical; however, some individuals develop life-threatening disease, particularly those with specific comorbidities that include diabetes mellitus, hazardous alcohol use, chronic kidney disease, and chronic lung disease [3]. Melioidosis can affect almost any organ, but central nervous system (CNS) involvement—which occurs in approximately 4% of cases—is one of the most feared manifestations [4, 5]. Even in well-resourced settings the case-fatality rate can rise to 50%, with permanent disability common in survivors [4, 6, 7].

Central nervous system melioidosis can present as encephalomyelitis, brain abscess, meningitis, or extra-meningeal disease. Encephalomyelitis is common in northern Australia, but it is rare in other countries where macroscopic brain abscesses are seen more frequently [4, 5]. Indeed, 63% of all cases of encephalomyelitis have been reported from Australia, while case series from Malaysia and Singapore describe brain abscesses as the sole manifestation of CNS melioidosis [4, 8, 9]. It has been postulated that these geographical differences in the clinical presentation of CNS melioidosis are related, at least in part, to regional B. pseudomallei genotypic variation [10].

Burkholderia pseudomallei has a large genome comprising 2 chromosomes 4.07 and 3.17 mega-base pairs in size, high rates of homologous recombination, and an open pangenome [11]. Long-range dissemination of B. pseudomallei is rare, and B. pseudomallei populations in Australia, Asia, Africa, and the Americas remain largely distinct [12]. All B. pseudomallei isolates carry bimA, a virulence gene that encodes an autotransporter protein (BimA) that mediates actin-based motility [13]. Most isolates carry the bimABp allele; however, a small number carry the Burkholderia mallei–like bimABm allele. There is significant geographical variation in the prevalence of the bimABm allele: to date, it has only been reported from Australia (~12% of isolates), India (4.5% of isolates), and Sri Lanka (18.5% of isolates) [10, 12, 14–17].

Humans infected with the bimABm variant are 14 times more likely to present with neurological involvement than those with bimABp [10]. In mouse models, B. pseudomallei carrying bimABm is more virulent and has been shown to directly invade the CNS after intranasal inoculation via nerve route translocation along cranial nerves [18, 19]. Human cases where encephalomyelitis has developed after B. pseudomallei culture–positive facial skin infections support the hypothesis that the organism can invade the CNS via nerve root translocation along the facial nerve, with BimA again thought to play an important role [20, 21].

This study was performed to provide an overview of the clinical presentation of CNS melioidosis in tropical Australia, and to gain a greater insight into its pathophysiology by examining the association between different bimA alleles and the clinical features of the cases. Recent advances in medical imaging, critical care, and disease-specific management have seen the case-fatality rate of melioidosis fall significantly in Australia [5, 22]. This study was performed to determine if this was also the case in patients with CNS disease.

METHODS

The study was performed at Royal Darwin Hospital (RDH) and Cairns Hospital in tropical Australia. Royal Darwin Hospital, a 350-bed tertiary-referral hospital in the Northern Territory, serves a population of approximately 160 000 people from the Top End of Australia, an area of nearly 500 000 km2. Cairns Hospital, a 531-bed tertiary-referral hospital in Far North Queensland, serves a population of approximately 280 000 people dispersed across an area of over 380 000 km2 [23]. Australian First Nations populations—the Aboriginal and Torres Strait Islander peoples—comprise a significant proportion of both regions’ populations. All patients with culture-confirmed CNS melioidosis between 1 October 1989 and 30 June 2021 at RDH, and between 1 January 1998 and 30 June 2021 at Cairns Hospital, were eligible for inclusion. The clinical details of each case were recorded as described previously [5, 24]. A patient was defined as having a risk factor for melioidosis if they had documented diabetes mellitus, hazardous alcohol use, chronic kidney disease, chronic lung disease, immunosuppression, malignancy, kava consumption, rheumatic heart disease, or cardiac failure. Patients and/or families were asked about potential inoculation events prior to presentation [5, 24]

The diagnosis of CNS melioidosis required radiological changes consistent with active CNS infection and a positive B. pseudomallei culture. Central nervous system involvement was further categorized as encephalomyelitis, a brain abscess, meningitis, or extra-meningeal involvement [4]. Primary CNS melioidosis was defined as cases where neurological symptoms were the main presenting manifestation. Patients were said to have secondary CNS melioidosis if their presenting symptoms originated from a nonneurological primary focus of infection—melioidosis pneumonia, for instance—with CNS involvement identified subsequently.

For CNS melioidosis cases, the bimA allele of the infecting B. pseudomallei isolate was determined either by polymerase chain reaction (PCR) or in silico analysis of whole-genome sequence data. PCR primers were as previously described [10]. In silico bimA typing was done by aligning short read sequence data to the bimABm allele (BURPS668_A2118 in B. pseudomallei MSHR668; GenBank accession CP000571.1) and to the bimABp allele (BPSS1492 in B. pseudomallei K96243; GenBank accession BX571966.1) using SRST2 version 0.2.0 [25]. In all available isolates either the bimABm allele or the bimABp allele was detected.

Data were entered into an electronic database (Microsoft Excel; Microsoft Corporation) and analyzed using statistical software (Stata version 14.2; StataCorp LP). Groups were compared using the Kruskal-Wallis, chi-square, Fisher’s exact test and logistic regression, as appropriate. The Human Research Ethics Committee of the Northern Territory Department of Health and Menzies School of Health Research (HREC 02/38) and the Far North Queensland Human Research Ethics Committee (HREC/2020/QCH/59103-1428, HREC/15/QCH/46-977) provided ethical approval for the study.

RESULTS

Of 1587 melioidosis cases diagnosed at the 2 sites during the study periods, 52 (3.3%) had confirmed CNS melioidosis (Supplementary Tables 1 and 2). Children were more likely to have CNS involvement than were adults (6/76 [7.9%] vs 46/1511 [3.0%]; P = .04). All 6 children (aged 3–14 years) with CNS involvement had no risk factor for melioidosis, while only 5 of 46 (10.9%) adults with CNS involvement had no risk factor (P < .0001). The only other significant difference between patients who did, and did not, have CNS involvement was that CNS involvement was more common in those with a remote residential address (Table 1). Of the 52 patients with CNS involvement, 20 (38.5%) had brain abscesses, 18 (34.6%) had encephalomyelitis, 4 (7.7%) had isolated meningitis, and 10 (19.2%) had extra-meningeal disease (Supplementary Table 1, Figure 1). Primary CNS melioidosis was present in 24 of 52 patients (46.2%); 28 of 52 patients (53.9%) had secondary CNS melioidosis. Patients with a primary CNS melioidosis presentation were more likely to have encephalomyelitis than those with secondary CNS melioidosis (13/24 [54.2%] vs 5/28 [17.9%]; odds ratio [OR]: 5.43; 95% confidence interval [CI]: 1.55–19.11; P = .008) and less likely to be bacteremic (6/24 [25%] vs 25/28 [89.3%]; OR: .04; 95% CI: .01–.18; P < .0001). There was no difference in the demographic characteristics or comorbidities of the patients with primary and secondary CNS melioidosis (Table 2).

Table 1.

Comparison of the Demographic, Epidemiological, and Clinical Characteristics of the Patients With Laboratory-Confirmed Melioidosis in the Study Who Did—and Did Not—Have Central Nervous System Involvement

CNS Involvement (n = 52)No CNS Involvement (n = 1535)P
Age, years46 (33–59)51 (40–61).03
Child <18 years6/52 (11.5%)70/1535 (4.6%).02
Male gender34/52 (65.4%)991/1535 (64.6%).90
First Nations Australian30/52 (57.7%)789/1535 (51.4%).37
Remote residential address33/52 (63.5%)707/1535 (46.1%).01
Presentation during wet season34/52 (65.4%)1050/1535 (68.4%).65
Diabetes mellitus21/52 (40.4%)724/1524 (47.5%).31
Hazardous alcohol consumption20/52 (38.5%)612/1511 (40.5%).77
Chronic kidney disease4/52 (7.7%)194/1521 (12.8%).28
Chronic lung disease10/52 (19.2%)383/1515 (25.3%).32
No documented risk factor11/52 (21.2%)232/1535 (15.1%).23
Bacteremia31/52 (59.6%)903/1535 (58.8%).91
ICU admission31/52 (59.6%)355/1521 (23.3%)<.001
Died before hospital discharge8/52 (15.4%)164/1535 (10.7%).28
CNS Involvement (n = 52)No CNS Involvement (n = 1535)P
Age, years46 (33–59)51 (40–61).03
Child <18 years6/52 (11.5%)70/1535 (4.6%).02
Male gender34/52 (65.4%)991/1535 (64.6%).90
First Nations Australian30/52 (57.7%)789/1535 (51.4%).37
Remote residential address33/52 (63.5%)707/1535 (46.1%).01
Presentation during wet season34/52 (65.4%)1050/1535 (68.4%).65
Diabetes mellitus21/52 (40.4%)724/1524 (47.5%).31
Hazardous alcohol consumption20/52 (38.5%)612/1511 (40.5%).77
Chronic kidney disease4/52 (7.7%)194/1521 (12.8%).28
Chronic lung disease10/52 (19.2%)383/1515 (25.3%).32
No documented risk factor11/52 (21.2%)232/1535 (15.1%).23
Bacteremia31/52 (59.6%)903/1535 (58.8%).91
ICU admission31/52 (59.6%)355/1521 (23.3%)<.001
Died before hospital discharge8/52 (15.4%)164/1535 (10.7%).28

All numbers are presented as n/N (%) or median (interquartile range) as appropriate. Abbreviations: CNS, central nervous system; ICU, intensive care unit.

Table 1.

Comparison of the Demographic, Epidemiological, and Clinical Characteristics of the Patients With Laboratory-Confirmed Melioidosis in the Study Who Did—and Did Not—Have Central Nervous System Involvement

CNS Involvement (n = 52)No CNS Involvement (n = 1535)P
Age, years46 (33–59)51 (40–61).03
Child <18 years6/52 (11.5%)70/1535 (4.6%).02
Male gender34/52 (65.4%)991/1535 (64.6%).90
First Nations Australian30/52 (57.7%)789/1535 (51.4%).37
Remote residential address33/52 (63.5%)707/1535 (46.1%).01
Presentation during wet season34/52 (65.4%)1050/1535 (68.4%).65
Diabetes mellitus21/52 (40.4%)724/1524 (47.5%).31
Hazardous alcohol consumption20/52 (38.5%)612/1511 (40.5%).77
Chronic kidney disease4/52 (7.7%)194/1521 (12.8%).28
Chronic lung disease10/52 (19.2%)383/1515 (25.3%).32
No documented risk factor11/52 (21.2%)232/1535 (15.1%).23
Bacteremia31/52 (59.6%)903/1535 (58.8%).91
ICU admission31/52 (59.6%)355/1521 (23.3%)<.001
Died before hospital discharge8/52 (15.4%)164/1535 (10.7%).28
CNS Involvement (n = 52)No CNS Involvement (n = 1535)P
Age, years46 (33–59)51 (40–61).03
Child <18 years6/52 (11.5%)70/1535 (4.6%).02
Male gender34/52 (65.4%)991/1535 (64.6%).90
First Nations Australian30/52 (57.7%)789/1535 (51.4%).37
Remote residential address33/52 (63.5%)707/1535 (46.1%).01
Presentation during wet season34/52 (65.4%)1050/1535 (68.4%).65
Diabetes mellitus21/52 (40.4%)724/1524 (47.5%).31
Hazardous alcohol consumption20/52 (38.5%)612/1511 (40.5%).77
Chronic kidney disease4/52 (7.7%)194/1521 (12.8%).28
Chronic lung disease10/52 (19.2%)383/1515 (25.3%).32
No documented risk factor11/52 (21.2%)232/1535 (15.1%).23
Bacteremia31/52 (59.6%)903/1535 (58.8%).91
ICU admission31/52 (59.6%)355/1521 (23.3%)<.001
Died before hospital discharge8/52 (15.4%)164/1535 (10.7%).28

All numbers are presented as n/N (%) or median (interquartile range) as appropriate. Abbreviations: CNS, central nervous system; ICU, intensive care unit.

Table 2.

Demographics, Comorbidities, Clinical Phenotype, and Clinical Course of the Patients With Primary and Secondary Central Nervous System Melioidosis

Primary CNS Melioidosis (n = 24)Secondary CNS Melioidosis (n = 28)P
Age, years39 (25–56)48 (38–63).10
Child <18 years4 (16.7%)2 (7.1%).40
Male gender17 (70.8%)17 (60.7%).56
First Nations Australian9 (37.5%)13 (46.4%).58
Diabetes mellitus7 (29.2%)13 (46.4%).26
Hazardous alcohol use8 (33.3%)13 (46.4%).40
Chronic kidney disease03 (10.7%).24
Chronic lung disease3 (12.5%)8 (28.6%).19
No documented risk factor7 (29.2%)4 (14.3%).31
Encephalomyelitis13 (54.2%)5 (17.9%).009
Brain abscess8 (33.3%)12 (42.9%).57
Extra-meningeal disease2 (8.3%)8 (28.6%).09
Meningitis1 (4.2%)3 (10.7%).62
Brainstem involvement13 (54.2%)4 (14.3%).003
Bacteremic6 (25%)25 (89.3%)<.0001
Burkholderia pseudomallei cultured outside CNS12 (50%)28 (100%)<.0001
Documented exposure event11 (45.8%)7 (25.0%).15
Immersion in water or face/scalp lesion5 (20.8%)2 (7.1%).23
bimABm varianta12/21 (57.1%)5/26 (19.2%).01
Had septic shock during hospitalization2 (8.3%)13 (46.4%).005
ICU admission12 (50%)20 (71.4%).16
Neurosurgery8 (33.3%)8 (28.6%).77
Died before discharge5 (20.8%)3 (10.7%).45
Death or residual disability17 (70.8%)8 (28.6%).005
Primary CNS Melioidosis (n = 24)Secondary CNS Melioidosis (n = 28)P
Age, years39 (25–56)48 (38–63).10
Child <18 years4 (16.7%)2 (7.1%).40
Male gender17 (70.8%)17 (60.7%).56
First Nations Australian9 (37.5%)13 (46.4%).58
Diabetes mellitus7 (29.2%)13 (46.4%).26
Hazardous alcohol use8 (33.3%)13 (46.4%).40
Chronic kidney disease03 (10.7%).24
Chronic lung disease3 (12.5%)8 (28.6%).19
No documented risk factor7 (29.2%)4 (14.3%).31
Encephalomyelitis13 (54.2%)5 (17.9%).009
Brain abscess8 (33.3%)12 (42.9%).57
Extra-meningeal disease2 (8.3%)8 (28.6%).09
Meningitis1 (4.2%)3 (10.7%).62
Brainstem involvement13 (54.2%)4 (14.3%).003
Bacteremic6 (25%)25 (89.3%)<.0001
Burkholderia pseudomallei cultured outside CNS12 (50%)28 (100%)<.0001
Documented exposure event11 (45.8%)7 (25.0%).15
Immersion in water or face/scalp lesion5 (20.8%)2 (7.1%).23
bimABm varianta12/21 (57.1%)5/26 (19.2%).01
Had septic shock during hospitalization2 (8.3%)13 (46.4%).005
ICU admission12 (50%)20 (71.4%).16
Neurosurgery8 (33.3%)8 (28.6%).77
Died before discharge5 (20.8%)3 (10.7%).45
Death or residual disability17 (70.8%)8 (28.6%).005

All numbers are presented as n (%) or median (interquartile range) as appropriate. Abbreviations: CNS, central nervous system; ICU, intensive care unit.

a

It was only possible to determine the bimA allele in 47 of the 52 patients.

Table 2.

Demographics, Comorbidities, Clinical Phenotype, and Clinical Course of the Patients With Primary and Secondary Central Nervous System Melioidosis

Primary CNS Melioidosis (n = 24)Secondary CNS Melioidosis (n = 28)P
Age, years39 (25–56)48 (38–63).10
Child <18 years4 (16.7%)2 (7.1%).40
Male gender17 (70.8%)17 (60.7%).56
First Nations Australian9 (37.5%)13 (46.4%).58
Diabetes mellitus7 (29.2%)13 (46.4%).26
Hazardous alcohol use8 (33.3%)13 (46.4%).40
Chronic kidney disease03 (10.7%).24
Chronic lung disease3 (12.5%)8 (28.6%).19
No documented risk factor7 (29.2%)4 (14.3%).31
Encephalomyelitis13 (54.2%)5 (17.9%).009
Brain abscess8 (33.3%)12 (42.9%).57
Extra-meningeal disease2 (8.3%)8 (28.6%).09
Meningitis1 (4.2%)3 (10.7%).62
Brainstem involvement13 (54.2%)4 (14.3%).003
Bacteremic6 (25%)25 (89.3%)<.0001
Burkholderia pseudomallei cultured outside CNS12 (50%)28 (100%)<.0001
Documented exposure event11 (45.8%)7 (25.0%).15
Immersion in water or face/scalp lesion5 (20.8%)2 (7.1%).23
bimABm varianta12/21 (57.1%)5/26 (19.2%).01
Had septic shock during hospitalization2 (8.3%)13 (46.4%).005
ICU admission12 (50%)20 (71.4%).16
Neurosurgery8 (33.3%)8 (28.6%).77
Died before discharge5 (20.8%)3 (10.7%).45
Death or residual disability17 (70.8%)8 (28.6%).005
Primary CNS Melioidosis (n = 24)Secondary CNS Melioidosis (n = 28)P
Age, years39 (25–56)48 (38–63).10
Child <18 years4 (16.7%)2 (7.1%).40
Male gender17 (70.8%)17 (60.7%).56
First Nations Australian9 (37.5%)13 (46.4%).58
Diabetes mellitus7 (29.2%)13 (46.4%).26
Hazardous alcohol use8 (33.3%)13 (46.4%).40
Chronic kidney disease03 (10.7%).24
Chronic lung disease3 (12.5%)8 (28.6%).19
No documented risk factor7 (29.2%)4 (14.3%).31
Encephalomyelitis13 (54.2%)5 (17.9%).009
Brain abscess8 (33.3%)12 (42.9%).57
Extra-meningeal disease2 (8.3%)8 (28.6%).09
Meningitis1 (4.2%)3 (10.7%).62
Brainstem involvement13 (54.2%)4 (14.3%).003
Bacteremic6 (25%)25 (89.3%)<.0001
Burkholderia pseudomallei cultured outside CNS12 (50%)28 (100%)<.0001
Documented exposure event11 (45.8%)7 (25.0%).15
Immersion in water or face/scalp lesion5 (20.8%)2 (7.1%).23
bimABm varianta12/21 (57.1%)5/26 (19.2%).01
Had septic shock during hospitalization2 (8.3%)13 (46.4%).005
ICU admission12 (50%)20 (71.4%).16
Neurosurgery8 (33.3%)8 (28.6%).77
Died before discharge5 (20.8%)3 (10.7%).45
Death or residual disability17 (70.8%)8 (28.6%).005

All numbers are presented as n (%) or median (interquartile range) as appropriate. Abbreviations: CNS, central nervous system; ICU, intensive care unit.

a

It was only possible to determine the bimA allele in 47 of the 52 patients.

Magnetic resonance imaging from cases in this cohort highlighting selected features of CNS melioidosis. A, MRI FLAIR sequence demonstrating hyperintense expansile lesion within the brainstem extending into the left middle cerebellar peduncle and cerebral peduncles bilaterally. The patient presented with pneumonia and bacteremia, with neurological symptoms developing subsequently; the Burkholderia pseudomallei isolate carried the bimABm allele. B, MRI T1 post-contrast study demonstrating small, ovoid lesion with rim enhancement in the left cerebellar peduncle and enhancement of the adjacent trigeminal nerve and tract as it traverses the pons (arrows). The patient had a neurological presentation; the B. pseudomallei isolate carried the bimABm allele. C, MRI FLAIR sequence demonstrating a very hyperintense ring lesion with extensive increased signal in adjacent white matter consistent with vasogenic edema. The patient presented with pneumonia and seizures; it was not possible to determine the bimA allele in this case. D, MRI T2 sequence demonstrating cord expansion with high signal from the C2/3 to C7/T1 level. The patient had a neurological presentation; the B. pseudomallei isolate carried the bimABm allele. Abbreviations: CNS, central nervous system; FLAIR, fluid attenuated inversion recovery; MRI, magnetic resonance imaging.
Figure 1.

Magnetic resonance imaging from cases in this cohort highlighting selected features of CNS melioidosis. A, MRI FLAIR sequence demonstrating hyperintense expansile lesion within the brainstem extending into the left middle cerebellar peduncle and cerebral peduncles bilaterally. The patient presented with pneumonia and bacteremia, with neurological symptoms developing subsequently; the Burkholderia pseudomallei isolate carried the bimABm allele. B, MRI T1 post-contrast study demonstrating small, ovoid lesion with rim enhancement in the left cerebellar peduncle and enhancement of the adjacent trigeminal nerve and tract as it traverses the pons (arrows). The patient had a neurological presentation; the B. pseudomallei isolate carried the bimABm allele. C, MRI FLAIR sequence demonstrating a very hyperintense ring lesion with extensive increased signal in adjacent white matter consistent with vasogenic edema. The patient presented with pneumonia and seizures; it was not possible to determine the bimA allele in this case. D, MRI T2 sequence demonstrating cord expansion with high signal from the C2/3 to C7/T1 level. The patient had a neurological presentation; the B. pseudomallei isolate carried the bimABm allele. Abbreviations: CNS, central nervous system; FLAIR, fluid attenuated inversion recovery; MRI, magnetic resonance imaging.

All patients had brain imaging performed. Computed tomography (CT) was performed in 26 of 52 patients (50%), with 8 of 26 scans (30.8%) reported as normal. Magnetic resonance imaging (MRI) was performed in 37 of 52 patients (71.2%), and all 37 were reported as abnormal. Inflammatory changes with a predilection for white matter tracts were commonly demonstrated (Figure 1). A lumbar puncture was performed in 32 of 52 patients (61.5%); lymphocytes were predominant (≥50% of cerebrospinal fluid [CSF] leukocytes) in 19 of 31 patients (61.3%) who had a CSF leukocyte count performed. Burkholderia pseudomallei was cultured from CSF in only 9 of 32 patients (28.1%); this included 4 of 15 (26.7%) cases of encephalomyelitis and 4 of 10 (40%) cases of brain abscess in which a lumbar puncture was performed (Supplementary Table 3).

The intensive-phase antibiotic therapy was recorded in 51 of 52 patients; 23 (45.1%) received meropenem, 12 (23.5%) received ceftazidime, and 16 (31.4%) received both (sequentially) (Supplementary Table 4). There were 32 of 52 patients (61.5%) admitted to the intensive care unit (ICU), while 16 of 52 (30.8%) received neurosurgical intervention, including abscess drainage in 11, laminectomy in 2, ventricular drain insertion in 2, and hemicraniectomy in 1.

There were 8 of 52 patients (15.4%) who died before hospital discharge at a median (IQR) of 14 (8–44) days after diagnosis. The median (IQR) duration of intravenous therapy in survivors was 8 (6–8) weeks; the median (IQR) duration of subsequent oral eradication therapy in survivors was 6 (3.2–7.6) months. Trimethoprim-sulfamethoxazole (TMP-SMX) was prescribed as oral eradication therapy in 37 of 44 (84.1%) survivors, 5 (13.5%) of whom had an adverse drug reaction to this medication (Supplementary Table 4). Among the 44 survivors, 17 (38.6%) had residual neurological deficits (Supplementary Table 1). There was a single relapse of culture-confirmed CNS melioidosis: a patient with brain abscess who did not receive neurosurgery and who received only 4 weeks of intravenous intensive therapy and 3 months of oral doxycycline eradication therapy.

The B. pseudomallei bimA allele was characterized in 47 of 52 patients (in 5 cases the isolate was not available); 17 of 47 (36.2%) had the bimABm allele and 30 (63.8%) had the bimABp allele. Patients with infection with the bimABm variant were more likely to have a primary CNS melioidosis presentation than a secondary CNS melioidosis presentation (12/17 [70.6%] vs 9/30 [30.0%]; OR: 5.60; 95% CI: 1.52–20.61; P = .01), more likely to have brainstem involvement (11/17 [64.7%] vs 6/30 [20%]; OR: 7.33; 9% CI: 1.92–27.95; P = .004), and more likely to have encephalomyelitis (10/17 [58.8%] vs 7/30 [23.3%]; OR: 4.69; 95% CI: 1.30–16.95; P = .02). Patients with a bimABm variant were also more likely to die or have residual disability (13/17 [76.5%] vs 12/30 [40.0%]; OR: 4.88; 95% CI: 1.28–18.57; P = .01) (Table 3).

Table 3.

Demographics, Comorbidities, Clinical Phenotype, and Clinical Course of the Patients With the bimABm and bimABp Alleles

bimABm Allele (n = 17)abimABp Allele (n = 30)aP
Age, years48 (29–62)43 (37–58).89
Child <18 years2 (11.8%)3 (10%)1.0
Male gender13 (76.5%)20 (66.7%).53
First Nations Australian6 (35.3%)13 (43.3%).76
Diabetes mellitus3 (17.7%)16 (53.3%).03
Hazardous alcohol use5 (29.4%)13 (43.3%).53
Chronic kidney disease1 (5.9%)1 (3.3%)1.0
Chronic lung disease4 (23.5%)5 (16.7%).70
No risk factor4 (23.5%)6 (20%)1.0
Primary CNS presentation12 (70.6%)9 (30%).01
Parenchymal disease17 (100%)16 (53.3%).001
Encephalomyelitis10 (58.8%)7 (23.3%).03
Brain abscess7 (41.2%)9 (30%).53
Extra-meningeal CNS disease010 (30%).008
Meningitis04 (13.3%).28
Brainstem involvement11 (64.7%)6 (20%).004
Bacteremic8 (47.1%)22 (73.3%).11
Burkholderia pseudomallei cultured outside CNS11 (64.7%)26 (86.7%).14
Exposure event8 (47.1%)9 (30%).35
Immersion or face/scalp lesion4 (23.5%)3 (10%).24
Septic shock during admission4 (23.5%)9 (30%).74
ICU admission13 (76.5%)15 (50%).12
Neurosurgery3 (17.7%)10 (33.3%).32
Died before discharge4 (23.5%)4 (13.3%).44
Residual disabilityb9/13 (69.2%)8/26 (30.8%).04
Death or residual disability13 (76.5%)12 (40.0%).03
bimABm Allele (n = 17)abimABp Allele (n = 30)aP
Age, years48 (29–62)43 (37–58).89
Child <18 years2 (11.8%)3 (10%)1.0
Male gender13 (76.5%)20 (66.7%).53
First Nations Australian6 (35.3%)13 (43.3%).76
Diabetes mellitus3 (17.7%)16 (53.3%).03
Hazardous alcohol use5 (29.4%)13 (43.3%).53
Chronic kidney disease1 (5.9%)1 (3.3%)1.0
Chronic lung disease4 (23.5%)5 (16.7%).70
No risk factor4 (23.5%)6 (20%)1.0
Primary CNS presentation12 (70.6%)9 (30%).01
Parenchymal disease17 (100%)16 (53.3%).001
Encephalomyelitis10 (58.8%)7 (23.3%).03
Brain abscess7 (41.2%)9 (30%).53
Extra-meningeal CNS disease010 (30%).008
Meningitis04 (13.3%).28
Brainstem involvement11 (64.7%)6 (20%).004
Bacteremic8 (47.1%)22 (73.3%).11
Burkholderia pseudomallei cultured outside CNS11 (64.7%)26 (86.7%).14
Exposure event8 (47.1%)9 (30%).35
Immersion or face/scalp lesion4 (23.5%)3 (10%).24
Septic shock during admission4 (23.5%)9 (30%).74
ICU admission13 (76.5%)15 (50%).12
Neurosurgery3 (17.7%)10 (33.3%).32
Died before discharge4 (23.5%)4 (13.3%).44
Residual disabilityb9/13 (69.2%)8/26 (30.8%).04
Death or residual disability13 (76.5%)12 (40.0%).03

Abbreviations: CNS, central nervous system; ICU, intensive care unit.

a

It was only possible to determine the bimA allele in 47 of the 52 patients.

b

It was only possible to determine the bimA allele in 39 of the 44 survivors.

Table 3.

Demographics, Comorbidities, Clinical Phenotype, and Clinical Course of the Patients With the bimABm and bimABp Alleles

bimABm Allele (n = 17)abimABp Allele (n = 30)aP
Age, years48 (29–62)43 (37–58).89
Child <18 years2 (11.8%)3 (10%)1.0
Male gender13 (76.5%)20 (66.7%).53
First Nations Australian6 (35.3%)13 (43.3%).76
Diabetes mellitus3 (17.7%)16 (53.3%).03
Hazardous alcohol use5 (29.4%)13 (43.3%).53
Chronic kidney disease1 (5.9%)1 (3.3%)1.0
Chronic lung disease4 (23.5%)5 (16.7%).70
No risk factor4 (23.5%)6 (20%)1.0
Primary CNS presentation12 (70.6%)9 (30%).01
Parenchymal disease17 (100%)16 (53.3%).001
Encephalomyelitis10 (58.8%)7 (23.3%).03
Brain abscess7 (41.2%)9 (30%).53
Extra-meningeal CNS disease010 (30%).008
Meningitis04 (13.3%).28
Brainstem involvement11 (64.7%)6 (20%).004
Bacteremic8 (47.1%)22 (73.3%).11
Burkholderia pseudomallei cultured outside CNS11 (64.7%)26 (86.7%).14
Exposure event8 (47.1%)9 (30%).35
Immersion or face/scalp lesion4 (23.5%)3 (10%).24
Septic shock during admission4 (23.5%)9 (30%).74
ICU admission13 (76.5%)15 (50%).12
Neurosurgery3 (17.7%)10 (33.3%).32
Died before discharge4 (23.5%)4 (13.3%).44
Residual disabilityb9/13 (69.2%)8/26 (30.8%).04
Death or residual disability13 (76.5%)12 (40.0%).03
bimABm Allele (n = 17)abimABp Allele (n = 30)aP
Age, years48 (29–62)43 (37–58).89
Child <18 years2 (11.8%)3 (10%)1.0
Male gender13 (76.5%)20 (66.7%).53
First Nations Australian6 (35.3%)13 (43.3%).76
Diabetes mellitus3 (17.7%)16 (53.3%).03
Hazardous alcohol use5 (29.4%)13 (43.3%).53
Chronic kidney disease1 (5.9%)1 (3.3%)1.0
Chronic lung disease4 (23.5%)5 (16.7%).70
No risk factor4 (23.5%)6 (20%)1.0
Primary CNS presentation12 (70.6%)9 (30%).01
Parenchymal disease17 (100%)16 (53.3%).001
Encephalomyelitis10 (58.8%)7 (23.3%).03
Brain abscess7 (41.2%)9 (30%).53
Extra-meningeal CNS disease010 (30%).008
Meningitis04 (13.3%).28
Brainstem involvement11 (64.7%)6 (20%).004
Bacteremic8 (47.1%)22 (73.3%).11
Burkholderia pseudomallei cultured outside CNS11 (64.7%)26 (86.7%).14
Exposure event8 (47.1%)9 (30%).35
Immersion or face/scalp lesion4 (23.5%)3 (10%).24
Septic shock during admission4 (23.5%)9 (30%).74
ICU admission13 (76.5%)15 (50%).12
Neurosurgery3 (17.7%)10 (33.3%).32
Died before discharge4 (23.5%)4 (13.3%).44
Residual disabilityb9/13 (69.2%)8/26 (30.8%).04
Death or residual disability13 (76.5%)12 (40.0%).03

Abbreviations: CNS, central nervous system; ICU, intensive care unit.

a

It was only possible to determine the bimA allele in 47 of the 52 patients.

b

It was only possible to determine the bimA allele in 39 of the 44 survivors.

A possible inoculation event was reported in 18 of 52 patients (34.6%). In 7 patients this was immersion or a preceding skin lesion (Supplementary Table 5); 4 (57.1%) of these 7 cases had no predisposing risk factor for melioidosis compared with 7 of 45 (15.6%) of the remaining cases (P = .03). However, only 1 of these 4 cases without a risk factor had the bimABm variant, a 3-year-old child who presented with brainstem encephalomyelitis after having a boil on his scalp for over 1 week. A 10-year-old child from Papua New Guinea without predisposing risk factors for melioidosis developed a subdural empyema and an intracerebral abscess after plant products were scraped across a scalp wound; he had the BimABp variant and his case has been previously reported [26].

DISCUSSION

The study highlights the diversity of presentations of CNS melioidosis, but it also demonstrates that if patients are recognized promptly, receive care in a well-resourced setting, and have access to sophisticated imaging and ICU support, many are able to survive without permanent sequelae. It also suggests that the different alleles of the B. pseudomallei bimA gene have a critical role in the pathogenesis of CNS melioidosis, with a major impact on clinical presentation and prognosis.

Clinicians have long recognized that patients with CNS melioidosis can present as primary or secondary disease, with clinical and experimental data supporting the hypothesis that the clinical phenotype is influenced by the mechanism by which B. pseudomallei enters the CNS. In secondary CNS disease, patients are usually bacteremic, multiorgan involvement is often apparent, and the clinical presentation is dominated by nonneurological manifestations [27]. In these cases, B. pseudomallei is likely to enter the CNS via a hematogenous route, either directly or within infected leukocytes [9, 28]. In contrast, patients with primary CNS disease have a predominantly neurological presentation and are more likely to have encephalomyelitis and less likely to be bacteremic or have B. pseudomallei cultured outside the CNS. In primary disease, it is hypothesized that, in many cases, the organism enters the brainstem or spinal cord directly, travelling along peripheral and cranial nerves to gain access to the CNS [20, 21].

This study suggests that the bimA allele of the infecting B. pseudomallei strain plays a critical role in determining whether primary or secondary CNS melioidosis is more likely. Patients with the bimABm, instead of the bimABp, variant were more than 5 times more likely to have a predominantly neurological presentation, over 7 times more likely to have brainstem involvement, and over 4 times more likely to have encephalomyelitis. All patients in the cohort with the bimABm variant had parenchymal CNS disease compared to just over half of those with bimABp allele. The bimA allele of the infecting strain—likely through its association with brainstem involvement—also appears to have prognostic value, with patients infected with the bimABm variant being almost 5 times more likely to die or have residual disability.

Precisely how different bimA alleles might lead to different clinical phenotypes is unclear. In mouse models, the bimABm variant is more virulent—disseminating rapidly—and persists for longer in phagocytic cells [18]. The bimA gene mediates actin-based motility and it is hypothesized that the bimABm allele facilitates bacterial invasion of the olfactory mucosa to gain access to olfactory and trigeminal nerve endings [29]. Alternatively, BimABm might influence bacterial uptake by Schwann cells, facilitating entry to the nerve fascicle, although BimA is thought unlikely to be directly involved in movement within the nerve fascicles themselves [29]. It has been postulated that B. pseudomallei carrying bimABm might enter the CNS via nerve route translocation across the nasal or oral mucosa after water immersion, or as a complication of B. pseudomallei elsewhere in the body, particularly infection of the face and scalp [20]. However, while it was notable that CNS disease was more common in individuals without traditional risk factors for melioidosis than in those with these risk factors, it was not possible to demonstrate a link between the bimABm allele and an inoculation event in this small cohort.

None of the 6 children (who comprised >10% of the cohort) had traditional risk factors for melioidosis. Although 5 of the 6 children had a putative exposure history, in only 2 was this felt to be strong. In another series from Queensland, 4 of 12 cases of CNS melioidosis occurred in children, although the presence, or absence, of predisposing factors was not reported [7]. Melioidosis is well recognized to occur in individuals without apparent risk factors, especially in children [1, 20]. That children were more likely to have CNS involvement than adults reflects, at least in part, that they have lower rates of disseminated disease than adults [20], but it may also reflect a higher predisposition to inoculating events such as water immersion.

The case-fatality rate (15.4%) in this cohort compares with case-fatality rates of 25% and 45% in Australian studies published in 2000 and 2013, respectively [6, 7]. This cohort’s lower case-fatality rate is likely explained, predominantly, by continuing improvements in critical care; almost all the patients in this study were able to receive prompt, multimodal ICU support [30]. The study period also coincided with improved access to MRI imaging at both sites, which, in several cases, expedited diagnosis. There has been a significant recent rise in the incidence of melioidosis in Far North Queensland, increasing local clinicians’ index of suspicion for the disease [31]. Prompt administration of antibiotics with activity against B. pseudomallei is also likely to have contributed. This has been facilitated by the electronic promulgation of national guidelines for the management of melioidosis, and which also recommend empirical meropenem for cases of severe sepsis in tropical Australia when melioidosis is a possible diagnosis [32]. The low relapse rate can be explained by evolving neurosurgical support for both sites over the course of the study and evolution of the recommended duration of antibiotic therapy, particularly prolongation of the duration of the intravenous induction period [33]. The combination of intravenous meropenem and adjunctive oral TMP-SMX is now recommended in Australia for the 8-week intensive phase of management of CNS melioidosis. Eradication therapy with oral TMP-SMX is then continued for at least 6 months [1, 34].

One of the explanations for the poor outcome described with CNS melioidosis in many series is a failure to consider the diagnosis or—even if the diagnosis is considered—a difficulty in establishing the diagnosis, both of which can delay therapy [35]. This is partly due to its highly variable presentation, which can mimic other infectious and noninfectious neurological conditions. It is also due to challenges in establishing a microbiological diagnosis, particularly in low- and middle-income countries where access to high-quality laboratory services may be limited [36]. However, even with access to microbiological services, CSF culture is commonly negative—less than one-third of CSF cultures were positive in this cohort—and CSF microscopy findings are highly variable, although it was notable that, unusually for a bacterial infection, lymphocytes were predominant in the CSF of many cases (Supplementary Table 3).

The study again demonstrates the limited sensitivity of CT imaging in the early diagnosis of disease. While all MRI scans demonstrated abnormalities, there is limited access to MRI in many parts of the world where B. pseudomallei is endemic. Although the MRI findings in CNS melioidosis are variable, the presence of rim-enhancing abscesses with contrast enhancement of white matter tracts and cranial nerves supports the diagnosis [37]. Cranial neuropathies—especially of the trigeminal nerve—are characteristic clinical findings [4, 6, 37]. Enhancement of the trigeminal nerve with associated brainstem micro-abscesses in 1 case suggests that B. pseudomallei entered the CNS via this path (Figure 1B).

This study has several limitations. Almost 40% of the Queensland cases had data collected retrospectively. The relatively small cohort—despite a study period of greater than 20 years—makes type 2 errors inevitable. However, the findings provide support for current hypotheses—derived from animal models—about the pathogenesis of CNS melioidosis in humans. Future research might determine the BimA protein’s potential as a target for vaccines or adjuvant therapy and the utility of adjunctive TMP-SMX in the initial therapy for CNS melioidosis [21, 38, 39].

Conclusions

In the well-resourced Australian healthcare system, the case-fatality rate from melioidosis is declining, but CNS involvement remains a feared complication. Infection with the bimABm variant increases the likelihood of primary CNS disease, particularly brainstem encephalomyelitis, and is associated with poorer outcomes. A greater understanding of the clinical associations of the organism’s virulence factors—like BimA—provides an insight into the pathophysiology of B. pseudomallei infection and has the potential to inform future therapeutic strategies.

Supplementary Data

Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Notes

Acknowledgments. The authors acknowledge and thank Rob Baird and the laboratory scientists at the Royal Darwin Hospital for their expertise in retrieval and identification of B. pseudomallei and Linda Ward at Menzies School of Health Research for maintaining the Darwin Prospective Melioidosis Study database and providing statistical support.

Financial support. The work was supported by the Australian National Health and Medical Research Council (grant numbers 1046812, 1098337, and 1131932) (the HOT NORTH initiative).

References

1

Smith
 
S
,
Hanson
 
J
,
Currie
 
BJ.
 
Melioidosis: an Australian perspective.
 
Trop Med Infect Dis
 
2018
;
3
.

2

White
 
NJ.
 
Melioidosis.
 
Lancet
 
2003
;
361
:
1715
22
.

3

Cheng
 
AC
,
Currie
 
BJ.
 
Melioidosis: epidemiology, pathophysiology, and management.
 
Clin Microbiol Rev
 
2005
;
18
:
383
416
.

4

Wongwandee
 
M
,
Linasmita
 
P.
 
Central nervous system melioidosis: a systematic review of individual participant data of case reports and case series.
 
PLoS Negl Trop Dis
 
2019
;
13
:
e0007320
.

5

Currie
 
BJ
,
Mayo
 
M
,
Ward
 
LM
, et al.  
The Darwin Prospective Melioidosis Study: a 30-year prospective, observational investigation.
 
Lancet Infect Dis
 
2021
;
21
:
1737
46
.

6

Currie
 
BJ
,
Fisher
 
DA
,
Howard
 
DM
,
Burrow
 
JN.
 
Neurological melioidosis.
 
Acta Trop
 
2000
;
74
:
145
51
.

7

Deuble
 
M
,
Aquilina
 
C
,
Norton
 
R.
 
Neurologic melioidosis.
 
Am J Trop Med Hyg
 
2013
;
89
:
535
9
.

8

Fong
 
SL
,
Wong
 
JS
,
Tan
 
AH
,
Low
 
SC
,
Tan
 
CT.
 
Neurological melioidosis in East Malaysia: case series and review of the literature.
 
Neurology Asia
 
2017
;
22
:
25
32
.

9

Chadwick
 
DR
,
Ang
 
B
,
Sitoh
 
YY
,
Lee
 
CC.
 
Cerebral melioidosis in Singapore: a review of five cases.
 
Trans R Soc Trop Med Hyg
 
2002
;
96
:
72
6
.

10

Sarovich
 
DS
,
Price
 
EP
,
Webb
 
JR
, et al.  
Variable virulence factors in Burkholderia pseudomallei (Melioidosis) associated with human disease.
 
PLoS One
 
2014
;
9
:
e91682
.

11

Holden
 
MT
,
Titball
 
RW
,
Peacock
 
SJ
, et al.  
Genomic plasticity of the causative agent of melioidosis, Burkholderia pseudomallei.
 
Proc Natl Acad Sci USA
 
2004
;
101
:
14240
5
.

12

Chewapreecha
 
C
,
Holden
 
MT
,
Vehkala
 
M
, et al.  
Global and regional dissemination and evolution of Burkholderia pseudomallei.
 
Nat Microbiol
 
2017
;
2
:
16263
.

13

Stevens
 
MP
,
Stevens
 
JM
,
Jeng
 
RL
, et al.  
Identification of a bacterial factor required for actin-based motility of Burkholderia pseudomallei.
 
Mol Microbiol
 
2005
;
56
:
40
53
.

14

Sitthidet
 
C
,
Stevens
 
JM
,
Chantratita
 
N
, et al.  
Prevalence and sequence diversity of a factor required for actin-based motility in natural populations of Burkholderia species.
 
J Clin Microbiol
 
2008
;
46
:
2418
22
.

15

Sitthidet
 
C
,
Korbsrisate
 
S
,
Layton
 
AN
,
Field
 
TR
,
Stevens
 
MP
,
Stevens
 
JM.
 
Identification of motifs of Burkholderia pseudomallei BimA required for intracellular motility, actin binding, and actin polymerization.
 
J Bacteriol
 
2011
;
193
:
1901
10
.

16

Shaw
 
T
,
Tellapragada
 
C
,
Kamath
 
A
,
Kalwaje Eshwara
 
V
,
Mukhopadhyay
 
C.
 
Implications of environmental and pathogen-specific determinants on clinical presentations and disease outcome in melioidosis patients.
 
PLoS Negl Trop Dis
 
2019
;
13
:
e0007312
.

17

Jayasinghearachchi
 
HS
,
Corea
 
EM
,
Jayaratne
 
KI
, et al.  
Biogeography and genetic diversity of clinical isolates of Burkholderia pseudomallei in Sri Lanka.
 
PLoS Negl Trop Dis
 
2021
;
15
:
e0009917
.

18

Morris
 
JL
,
Fane
 
A
,
Sarovich
 
DS
, et al.  
Increased neurotropic threat from Burkholderia pseudomallei strains with a B. mallei-like variation in the bimA motility gene, Australia.
 
Emerg Infect Dis
 
2017
;
23
:
740
9
.

19

St John
 
JA
,
Ekberg
 
JA
,
Dando
 
SJ
, et al.  
Burkholderia pseudomallei penetrates the brain via destruction of the olfactory and trigeminal nerves: implications for the pathogenesis of neurological melioidosis.
 
mBio
 
2014
;
5
:
e00025
.

20

McLeod
 
C
,
Morris
 
PS
,
Bauert
 
PA
, et al.  
Clinical presentation and medical management of melioidosis in children: a 24-year prospective study in the Northern Territory of Australia and review of the literature.
 
Clin Infect Dis
 
2015
;
60
:
21
6
.

21

Currie
 
BJ.
 
Melioidosis: evolving concepts in epidemiology, pathogenesis, and treatment.
 
Semin Respir Crit Care Med
 
2015
;
36
:
111
25
.

22

Hanson
 
J
,
Smith
 
S
,
Stewart
 
J
,
Horne
 
P
,
Ramsamy
 
N.
 
Melioidosis—a disease of socioeconomic disadvantage.
 
PLoS NeglTrop Dis
 
2021
;
15
:
e0009544
.

23

Australian Bureau of Statistics.
 
Australian demographic statistics
.
Canberra, Australia
:
Australian Bureau of Statistics
,
2019
.

24

Stewart
 
JD
,
Smith
 
S
,
Binotto
 
E
,
McBride
 
WJ
,
Currie
 
BJ
,
Hanson
 
J.
 
The epidemiology and clinical features of melioidosis in Far North Queensland: implications for patient management.
 
PLoS Negl Trop Dis
 
2017
;
11
:
e0005411
.

25

Inouye
 
M
,
Dashnow
 
H
,
Raven
 
LA
, et al.  
SRST2: rapid genomic surveillance for public health and hospital microbiology labs.
 
Genome Med
 
2014
;
6
:
90
.

26

Young
 
A
,
Tacon
 
C
,
Smith
 
S
,
Reeves
 
B
,
Wiseman
 
G
,
Hanson
 
J.
 
Case report: fatal pediatric melioidosis despite optimal intensive care.
 
Am J Trop Med Hyg
 
2017
;
97
:
1691
4
.

27

Koszyca
 
B
,
Currie
 
BJ
,
Blumbergs
 
PC.
 
The neuropathology of melioidosis: two cases and a review of the literature.
 
Clin Neuropathol
 
2004
;
23
:
195
203
.

28

Liu
 
PJ
,
Chen
 
YS
,
Lin
 
HH
, et al.  
Induction of mouse melioidosis with meningitis by CD11b+ phagocytic cells harboring intracellular B. pseudomallei as a Trojan horse.
 
PLoS Negl Trop Dis
 
2013
;
7
:
e2363
.

29

St John
 
JA
,
Walkden
 
H
,
Nazareth
 
L
, et al.  
Burkholderia pseudomallei rapidly infects the brain stem and spinal cord via the trigeminal nerve after intranasal inoculation.
 
Infect Immun
 
2016
;
84
:
2681
8
.

30

Kaukonen
 
KM
,
Bailey
 
M
,
Suzuki
 
S
,
Pilcher
 
D
,
Bellomo
 
R.
 
Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012.
 
JAMA
 
2014
;
311
:
1308
16
.

31

Smith
 
S
,
Horne
 
P
,
Rubenach
 
S
, et al.  
Increased incidence of Melioidosis in far North Queensland, Queensland, Australia, 1998-2019.
 
Emerg Infect Dis
 
2021
;
27
:
3119
23
.

32

Empirical
 
regimens for sepsis or septic shock. eTG complete
.
Victoria, Australia
:
Therapeutic Guidelines Limited
,
2019
.

33

Pitman
 
MC
,
Luck
 
T
,
Marshall
 
CS
,
Anstey
 
NM
,
Ward
 
L
,
Currie
 
BJ.
 
Intravenous therapy duration and outcomes in melioidosis: a new treatment paradigm.
 
PLoS Negl Trop Dis
 
2015
;
9
:
e0003586
.

34

Sullivan
 
RP
,
Marshall
 
CS
,
Anstey
 
NM
,
Ward
 
L
,
Currie
 
BJ.
 
2020 Review and revision of the 2015 Darwin melioidosis treatment guideline; paradigm drift not shift.
 
PLoS Negl Trop Dis
 
2020
;
14
:
e0008659
.

35

Chien
 
JM
-F,
Saffari
 
SE
,
Tan
 
A-L
,
Tan
 
T-T.
 
Factors affecting clinical outcomes in the management of melioidosis in Singapore: a 16-year case series.
 
BMC Infect Dis
 
2018
;
18
(
1
):
482
-.

36

Yadav
 
H
,
Shah
 
D
,
Sayed
 
S
,
Horton
 
S
,
Schroeder
 
LF.
 
Availability of essential diagnostics in ten low-income and middle-income countries: results from national health facility surveys.
 
Lancet Glob Health
 
2021
;
9
:
e1553
60
.

37

Hsu
 
CC
,
Singh
 
D
,
Kwan
 
G
, et al.  
Neuromelioidosis: craniospinal MRI findings in Burkholderia pseudomallei infection.
 
J Neuroimaging
 
2016
;
26
:
75
82
.

38

Burnard
 
D
,
Bauer
 
MJ
,
Falconer
 
C
, et al.  
Clinical Burkholderia pseudomallei isolates from Queensland carry diverse bimABm genes that are associated with central nervous system disease and are phylogenomically distinct from other Australian strains.
 
medRxiv
, doi: XXX,
2021
, preprint: not peer reviewed.

39

Whitlock
 
GC
,
Deeraksa
 
A
,
Qazi
 
O
, et al.  
Protective response to subunit vaccination against intranasal Burkholderia mallei and B. pseudomallei challenge.
 
Procedia Vaccinol
 
2010
;
2
.

Author notes

J. H. and E. M. M. contributed equally.

Potential conflicts of interest. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights)

Supplementary data