Abstract
Acute and convalescent serum samples were collected from febrile inpatients identified at two hospitals in Moshi, Tanzania. Confirmed brucellosis was defined as a positive blood culture or a ≥ 4-fold increase in microagglutination test titer, and probable brucellosis was defined as a single reciprocal titer ≥ 160. Among 870 participants enrolled in the study, 455 (52.3%) had paired sera available. Of these, 16 (3.5%) met criteria for confirmed brucellosis. Of 830 participants with ≥ 1 serum sample, 4 (0.5%) met criteria for probable brucellosis. Brucellosis was associated with increased median age (P = 0.024), leukopenia (odds ratio [OR] 7.8, P = 0.005), thrombocytopenia (OR 3.9, P = 0.018), and evidence of other zoonoses (OR 3.2, P = 0.026). Brucellosis was never diagnosed clinically, and although all participants with brucellosis received antibacterials or antimalarials in the hospital, no participant received standard brucellosis treatment. Brucellosis is an underdiagnosed and untreated cause of febrile disease among hospitalized adult and pediatric patients in northern Tanzania.
Introduction
Brucellosis is an important cause of zoonotic illness worldwide.1 Brucellosis frequently presents as an undifferentiated febrile illness with otherwise varied and non-specific clinical findings.2–4 Brucella spp. are facultative intracellular organisms that can establish chronic infection, and brucellosis may present as acute, subacute, or chronic disease.2,5 These non-specific clinical features, in addition to low clinical suspicion and inadequate diagnostic capacity, result in brucellosis often being underdiagnosed and untreated in low-resource countries.3,6,7
Although several species of Brucella can cause human infection, B. melitensis and B. abortus are the most frequently implicated species.8,9 B. melitensis, the more common and virulent cause of human disease,2,10 is typically associated with sheep and goats, and B. abortus with cattle, although cross-species infections can occur.2,3,9 Brucella is transmitted to humans by ingestion of infectious animal products, inhalation of airborne particulates, or direct contact with infected animals and their products through skin abrasions or conjunctiva.2 Although potentially more prevalent in northern Africa,11,12 human brucellosis seroprevalence ranges from 3% to 8% in sub-Saharan Africa.13–17 In livestock in Tanzania, the seroprevalence of Brucella infection varies across different agro-ecological settings, ranging from 0% to 15%.18–20 The relative importance of the various Brucella species is not well-defined in sub-Saharan Africa. We previously isolated B. melitensis from the bloodstream of an inpatient in Moshi, Tanzania (Crump JA, unpublished data). B. melitensis has also been isolated from aborting goats and B. abortus from aborting cattle in Tanzania.21 More recently, a single B. melitensis isolate has been recovered from goat's milk in Tanzania (Shirima GM, unpublished data).
Brucellosis can negatively affect humans directly through illness, and economically by increasing the rate of abortion and decreasing productivity of livestock.2,22 Livestock control measures that are effective in developed nations, including Brucella species-specific host vaccination and “test-and-slaughter” livestock culling strategies, have not been widely implemented at this time in sub-Saharan Africa.23
Although brucellosis awareness is increasing in sub-Saharan Africa,9,23 few studies have systematically studied patients for evidence of infection using conventional standard diagnostic tests. To assess the role of brucellosis as a cause of febrile illness in northern Tanzania, and to add to the current understanding of human brucellosis in sub-Saharan Africa, we investigated the prevalence and characteristics of brucellosis among hospitalized febrile patients.
Materials and Methods
Setting.
The study was conducted at two hospitals in Moshi, Tanzania. Moshi (population > 144,000) is the administrative center of the Kilimanjaro Region (population > 1.4 million) in northern Tanzania. It is situated at an elevation of ∼890 meters above sea level, and the climate typically consists of a short rainy period between October and December and a long rainy period from March to May.24 With the exception of Moshi Urban District, the Kilimanjaro Region is predominantly classified as rural, and characterized by smallholder systems involving mixed crop and livestock farming. Kilimanjaro Christian Medical Centre (KCMC) is a 458-bed consultant referral hospital that serves several regions in northern Tanzania, and Mawenzi Regional Hospital (MRH) is a 300-bed regional hospital that serves the Kilimanjaro Region. Together, KCMC and MRH serve as the main providers of hospital care in the Moshi area.
Study procedures and participants.
As part of a comprehensive study of the etiology of febrile illness in northern Tanzania,25,26 we prospectively enrolled adult and pediatric inpatients at KCMC and MRH from 17 September 2007 through 31 August 2008. Adults and adolescents, ≥ 13 years of age, admitted to the adult wards were eligible to participate if they had an oral temperature of ≥ 38.0°C. Children and infants, aged ≥ 2 months to < 13 years, admitted to the pediatric wards were eligible to participate if they had a history of fever in the past 48 hours, an axillary temperature of ≥ 37.5°C, or a rectal temperature of ≥ 38.0°C. A trained clinical officer who was part of the study team performed a standardized clinical history and physical examination on all consenting patients. Demographic information, including the participant's district and village of residence, was collected. Provisional clinical diagnoses established by the hospital clinical team were recorded. Before administration of antimicrobial therapy and within 24 hours of hospital admission, blood was drawn for aerobic blood culture, complete blood count, examination for blood parasites, human immunodeficiency virus (HIV) antibody testing,27 and acute serum archiving. Infants and HIV antibody negative adults had HIV RNA testing performed.28,29 Urine was also collected for detection of antibacterial activity. At the time of discharge, a standardized form was completed documenting whether the patient died in the hospital, in-hospital management, and the discharge diagnoses. The results of all available study investigations were provided immediately to the hospital clinical team to inform patient management. All participants were asked to return 4–6 weeks after study enrollment for collection of a convalescent serum sample. Acute and convalescent serum samples were sent to the United States Centers for Disease Control and Prevention (CDC) for serologic analysis for brucellosis. More than 1 year after the final patient was enrolled serologic results were made available to the clinical team in Moshi, who attempted to trace the study participants with brucellosis for appropriate management.
Laboratory methods.
Complete blood count and differential was performed using the CellDyn 3500 automated hematology analyzer (Abbott Laboratories, Abbott Park, IL). Blood cultures were performed using BacT/ALERT standard aerobic bottles, which were loaded into the BacT/ALERT 3D Microbial Detection system (BioMérieux Inc., Durham, NC) and were incubated for 5 days. Standard methods were used for identifying bloodstream isolates. Antimicrobial activity in urine was measured using a modification of the method described by Liu and others.30
Brucellosis serology was performed using the standard microagglutination test (MAT) performed at the CDC. Standardized B. abortus strain 1119-3 killed antigen (National Veterinary Services Laboratory, Ames, IA) was used for MAT at a 1:25 working dilution. Results were read on a Scienceware Plate Reader (Bel-Art Products, Wayne, NJ). Minor modifications were made to the CDC's standard MAT, including the use of U-bottom plates, incubation at 26°C, and discontinued use of staining techniques.31
Study definitions.
Confirmed brucellosis was defined as a positive blood culture or a ≥ 4-fold rise in the total antibody titer between acute and convalescent serum samples. Probable brucellosis was defined as a single reciprocal titer ≥ 160.31 For statistical analysis, negative for brucellosis was defined as any participant with paired serology who did not meet the criteria for confirmed or probable brucellosis. Nutritional status was assessed using sex-adjusted World Health Organization (WHO) guidelines for weight-for-length for children ≤ 24 months of age, weight-for-height for children > 24 and ≤ 60 months of age, and body mass index (BMI)-for-age for children and adolescents ≥ 61 months up to 19 years of age. Standard WHO adult BMI definitions were used for adults > 19 years of age.32,33 Severely malnourished is defined as nutritional status < −3 SD by z-scores, and malnourished is defined as nutritional status < −2 SD. Hematologic definitions are based on locally established or verified reference ranges.34,35 Rural or urban residence was based on the 2002 Tanzania Population and Housing Census for those with known village of origin.36
Statistical analysis.
Data were entered using the Cardiff Teleform system (Cardiff Inc., Vista, CA) and analyzed using JMP, version 9.0.0 (SAS, Cary, NC). Descriptive statistics are presented as proportions, medians, ranges, and interquartile ranges (IQR). Fisher's exact test was used to compare categorical data. Wilcoxon rank sum was used to compare nonparametric continuous data. Odds ratios (ORs) and 95% confidence intervals were calculated when appropriate. For comparisons between those with confirmed brucellosis and the rest of the study population, only those with paired sera available were compared. All P values are two sided and evaluated for statistical significance at the 0.05 significance level. Probable brucellosis status was analyzed qualitatively.
Research ethics.
Informed consent was obtained from all adult participants and from the parents or legal guardians of minors. This study was approved by the KCMC Research Ethics Committee, the Tanzania National Institute for Medical Research National Research Ethics Coordinating Committee, and Institutional Review Boards of Duke University Medical Center and the CDC.
Results
A total of 870 patients were enrolled in the study, 403 (46.3%) adults and adolescents and 467 (53.7%) children and infants. Characteristics of the study population have been reported elsewhere.25,26 Eight hundred thirty (95.4%) participants had at least one serum sample available for brucellosis testing. Four hundred fifty-five (52.3%) enrollees had both acute and convalescent (paired) sera tested for brucellosis. Of the 455 participants with paired sera, 16 (3.5%) met criteria for confirmed brucellosis. No patient had a blood culture positive for Brucella spp.
Characteristics of those with and without brucellosis are presented in Table 1. The median (range) age of participants with paired sera for brucellosis analysis was 8.4 (0.2, 84.6) years: 1.8 (0.2, 13.5) years for children and infants and 34.5 (13.6, 84.6) years for adults and adolescents. The median (range) age of participants with confirmed brucellosis was 28.4 (1.1, 68.5) years: 2.1 (1.1, 3.6) years among children and infants and 46.0 (22.3, 68.5) years among adults and adolescents. Participants with confirmed brucellosis were significantly older than those without brucellosis (P = 0.024). Of those with paired sera tested for brucellosis, 223 (49.0%) were female, and 5 (31.3%) of the 16 patients with confirmed brucellosis were female.
Table 1.
Presenting features of hospitalized febrile patients with and without brucellosis infection (N = 454), northern Tanzania, 2007–2008
Confirmed brucellosis (N = 16) | Negative for brucellosis (N = 438) | P value | OR (95% CI) | |||
---|---|---|---|---|---|---|
n/N | (%) | n/N | (%) | |||
Demographics | ||||||
Children and infants | 5/16 | (31.3) | 243/438 | (55.5) | 0.073 | 0.36 (0.12–1.1) |
Female sex | 5/16 | (31.3) | 217/438 | (49.5) | 0.204 | 0.46 (0.16–1.4) |
Age, median (range) years | 28.4 (1.1, 68.5) | 8.2 (0.2, 84.6) | 0.024* | – | ||
Adults and adolescents | 46.0 (22.3, 68.5) | 34.2 (13.6, 84.6) | 0.154 | – | ||
Children and infants | 2.1 (1.1, 3.6) | 1.8 (0.2, 13.5) | 0.784 | – | ||
Rural | 7/16 | (43.8) | 183/382 | (47.9) | 0.803 | 0.85 (0.31–2.3) |
Weekly expenses, median (IQR) TZS | 20,000 (10,500; 28,000) | 21,000 (14,000; 30,000) | 0.696 | – | ||
Mortality | 0/16 | (0.0) | 9/435 | (2.1) | 1.000 | Undefined |
Clinical symptoms and signs | ||||||
Days since onset, median (IQR) | 7 (4, 14) | 4 (3, 10) | 0.224 | – | ||
Adults and adolescents | 7 (4, 14) | 6 (3, 14) | 0.429 | – | ||
Children and infants | 4 (3, 11) | 4 (3, 7) | 0.690 | – | ||
Temperature, median (IQR) | 38.9 (38.2, 39.5) | 38.4 (38.0, 39.0) | 0.052 | – | ||
Headache† | 8/11 | (72.7) | 145/194 | (74.7) | 1.000 | 0.90 (0.23–3.5) |
Cough | 5/16 | (31.3) | 287/436 | (65.8) | 0.007* | 0.24 (0.08–0.69) |
Vomiting | 5/16 | (31.3) | 131/436 | (30.0) | 1.000 | 1.1 (0.36–3.1) |
Breathing difficulty | 3/16 | (18.8) | 154/438 | (35.2) | 0.284 | 0.43 (0.12–1.5) |
Diarrhea | 3/16 | (18.8) | 89/438 | (20.3) | 1.000 | 0.90 (0.25–3.2) |
Jaundice | 1/15 | (6.7) | 7/434 | (1.6) | 0.240 | 4.4 (0.50–37.9) |
Pallor | 0/16 | (0.0) | 35/437 | (8.0) | 0.625 | Undefined |
Crepitations | 3/16 | (18.8) | 192/430 | (44.7) | 0.043* | 0.29 (0.08–1.0) |
Hepato- or splenomegaly | 3/16 | (18.8) | 39/435 | (9.0) | 0.179 | 2.3 (0.64–8.6) |
Lymphadenopathy | 1/16 | (6.3) | 39/430 | (9.1) | 1.000 | 0.67 (0.09–5.2) |
Severe malnutrition | 0/15 | (0.0) | 52/418 | (12.4) | 0.234 | Undefined |
Any malnutrition | 0/15 | (0.0) | 87/418 | (20.8) | 0.049* | Undefined |
Laboratory findings | ||||||
Anemia | 6/14 | (42.9) | 152/432 | (35.2) | 0.578 | 1.4 (0.47–4.1) |
Lymphopenia | 6/14 | (42.9) | 130/428 | (30.4) | 0.379 | 1.7 (0.58–5.1) |
Thrombocytopenia | 6/14 | (42.9) | 69/432 | (16.0) | 0.018* | 3.9 (1.3–11.7) |
Leukopenia | 4/14 | (28.6) | 21/432 | (4.9) | 0.005* | 7.8 (2.3–27.0) |
Leukocytosis | 4/14 | (28.6) | 160/432 | (37.0) | 0.587 | 0.68 (0.21–2.2) |
HIV seropositive | 1/15 | (6.7) | 107/418 | (25.6) | 0.130 | 0.21 (0.03–1.6) |
Other bacterial zoonoses‡ | 7/16§ | (43.8) | 82/423 | (19.4) | 0.026* | 3.2 (1.2–8.9) |
Malaria | 1/15 | (6.7) | 17/437 | (3.9) | 0.462 | 1.8 (0.22–14.2) |
Bloodstream infections | 1/16¶ | (6.3) | 45/438 | (10.3) | 1.000 | 0.58 (0.08–4.5) |
Radiographic findings | ||||||
Abnormal chest radiograph | 4/9 | (44.4) | 159/290 | (54.8) | 0.736 | 0.66 (0.17–2.5) |
Infiltrates | 3/9 | (33.3) | 128/290 | (44.1) | 0.736 | 0.63 (0.16–2.6) |
Pleural effusion | 1/9 | (11.1) | 11/290 | (3.8) | 0.312 | 3.2 (0.36–27.6) |
Provisional diagnosis | ||||||
Malaria | 8/16 | (50.0) | 200/438 | (45.7) | 0.801 | 1.2 (0.44–3.2) |
Pneumonia | 3/16 | (18.8) | 147/438 | (33.6) | 0.285 | 0.46 (0.13–1.6) |
Meningitis | 1/16 | (6.3) | 19/438 | (4.3) | 0.520 | 1.5 (0.18–11.7) |
Other | 4/16 | (25.0) | 72/438 | (16.4) | 0.322 | 1.7 (0.53–5.4) |
Treatment | ||||||
Antibacterials pre-hospitalization | 6/16 | (37.5) | 189/410 | (46.1) | 0.612 | 0.70 (0.25–2.0) |
Antimalarials pre-hospitalization | 10/16 | (62.5) | 159/415 | (38.3) | 0.067 | 2.7 (0.96–7.5) |
Antibacterials in urine at enrollment | 12/16 | (75.0) | 288/436 | (66.1) | 0.594 | 1.5 (0.49–4.9) |
Antibacterials during hospitalization | 13/15 | (86.7) | 301/438 | (68.7) | 0.165 | 3.0 (0.66–13.3) |
Antimalarials during hospitalization | 7/15 | (46.7) | 94/438 | (21.5) | 0.051 | 3.2 (1.1–9.1) |
No antibacterials/antimalarials during hospitalization | 0/15 | (0.0) | 111/438 | (25.3) | 0.028* | Undefined |
P < 0.050.
Data available for adult and adolescent patients only.
Includes confirmed cases of acute Q fever, leptospirosis, spotted fever group rickettsiosis (SFGR), typhus group rickettsiosis (TGR).
Serology positive for leptospirosis (4), SFGR (3), TGR (1), acute Q fever (1).
Blood culture positive for Salmonella enterica serovar Typhi (1).
OR = odds ratio; CI = confidence interval; TZS = Tanzanian shilling; IQR = interquartile range.
Seven (43.8%) of the participants with brucellosis lived in a rural area. There was no association between brucellosis and rural residence (OR 0.85, P = 0.803). There was also no difference in weekly expenses for patients with and without brucellosis (P = 0.696).
Of the patients with brucellosis, 10 (62.5%) were Chagga by paternal tribe, 4 (25.0%) were Pare, and 1 (6.3%) was Wabondei. The paternal tribes for participants with and without brucellosis were not significantly different (P = 0.067).
Clinical, laboratory, and radiographic characteristics.
The median (IQR) duration of illness before hospital admission was 7 (4,14) days for patients with brucellosis. Common symptoms among participants with brucellosis were subjective fever (100.0%), headache (72.7%), cough (31.3%), and vomiting (31.3%). Although cough was a common presenting symptom for participants with brucellosis, participants with brucellosis were less likely to have cough than febrile patients without brucellosis (OR 0.24, P = 0.007). Patients with brucellosis were less likely to have crepitations on chest auscultation (OR 0.29, P = 0.043), and were less likely to be malnourished (OR undefined, P = 0.049). No other symptoms or signs were significantly different between participants with and without brucellosis (P values > 0.050).
Four (28.6%) participants with brucellosis had leukopenia, and 6 (42.9%) had thrombocytopenia, both significantly higher proportions than the participants without brucellosis (OR 7.8, P = 0.005 and OR 3.9, P = 0.018, respectively). There were no differences in chest radiograph findings between participants with and without brucellosis (P values > 0.050).
Prevalence of co-infections.
One (6.7%) patient with confirmed brucellosis had HIV infection, and 107 (25.5%) participants without brucellosis had HIV (OR 0.21, P = 0.130). The patient co-infected with HIV and brucellosis had leukopenia, a CD4-positive T-lymphocyte count of 71 cells/mm3, CD4% of 19.0, and was taking cotrimoxazole prophylaxis.
Seven (43.8%) participants with brucellosis had other confirmed bacterial zoonotic co-infections, including leptospirosis, spotted fever group rickettsiosis, typhus group rickettsiosis, and acute Q fever, a significantly higher proportion of other bacterial zoonotic infections than participants without brucellosis (OR 3.2, P = 0.026). One (6.7%) participant was co-infected with Plasmodium falciparum, and one (6.3%) participant was co-infected with Salmonella enterica serovar Typhi.
Diagnosis, treatment, and outcome.
Of the participants with confirmed brucellosis, the most common provisional diagnosis was malaria in 8 (50.0%), followed by pneumonia in 3 (18.8%). Fifteen (93.8%) participants with brucellosis were diagnosed with malaria upon either admission or discharge. A clinical diagnosis of brucellosis was not made for any confirmed case. Clinical diagnoses for participants with brucellosis were not significantly different than those for patients with other febrile conditions (P > 0.050).
At the time of enrollment, 12 (75.0%) participants had evidence of urine antimicrobial activity. During admission, 13 (86.7%) of those with brucellosis received antibacterials and 7 (46.7%) received antimalarials, with 5 (33.3%) receiving both. All participants with brucellosis received either antibacterials or antimalarials; participants without brucellosis were more likely to have no treatment (P = 0.028). Of the 13 patients that received antibacterials during admission, 6 (46.2%) received penicillin or aminopenicillins, 4 (30.8%) received ceftriaxone, 3 (23.1%) received chloramphenicol, 2 (15.4%) received gentamicin, 2 (15.4%) received metronidazole, 1 (7.7%) received ciprofloxacin, and 1 (7.7%) received cotrimoxazole. None of the patients with confirmed brucellosis had a recorded death.
Probable cases.
Of the 830 participants with any Brucella MAT result, 4 (0.5%) met criteria for probable brucellosis. Two of these four had residence information available, and both lived in a rural setting. Median (IQR) duration of illness before admission for those with probable brucellosis was 45 (9, 289) days. Two (50.0%) participants had hepato- or splenomegaly, 1 (25.0%) had lymphadenopathy, and 1 (33.3%) out of the 3 patients with BMI data was severely malnourished. On chest radiograph, 2 (66.6%) of the 3 patients with data had pleural effusions, and 1 (33.3%) had infiltrates. One (25.0%) participant was co-infected with HIV. Of the 4 participants with probable brucellosis, 1 (25.0%) died before discharge from the hospital. This patient had a 1-year history of recurrent fever and cough, two empiric treatments for tuberculosis without clinical improvement, and a large right-sided empyema.
Discussion
We show that brucellosis is an underappreciated cause of febrile disease among adult and pediatric hospitalized patients in northern Tanzania. Although brucellosis is present in Tanzania, it was not diagnosed clinically in any study participant. Consequently, no participant received standard treatment of brucellosis during admission.2 Increased clinician awareness and prompt access to reliable diagnostic tests is needed to identify and appropriately manage patients with brucellosis in northern Tanzania.
This study was not designed to comprehensively assess risk factors for brucellosis. However, it is notable that no association between brucellosis and rural residence, weekly expenditures, or paternal tribe was identified. Brucellosis has been well documented among nomadic pastoralists in sub-Saharan Africa,16,22,37,38 and these populations are generally thought to be at increased risk for contracting brucellosis because of their close contact with livestock.22 However, some studies have suggested a recent shift in the epidemiology of brucellosis from rural to urban settings, possibly related to unpasteurized milk consumption in urban environments.39,40 A high Brucella seroprevalence among cattle in smallholder dairy systems in the Moshi area suggests that this sector may be a possible source of infection for the urban population.18 With a larger sample size, an association between brucellosis and site of residence, socio-economic status, or tribe may have been observed.
The clinical presentation of brucellosis among our study participants was quite non-specific. Participants with brucellosis were significantly older than patients without brucellosis, suggesting that adult patients may be exposed to greater risk for the infection. Common reported clinical signs of human brucellosis include hepato- or splenomegaly and lymphadenopathy.41–48 Our data showed no association between these signs and brucellosis. Although hepato- or splenomegaly was not significantly associated with brucellosis, possibly caused by small numbers, a larger proportion of individuals with brucellosis had hepato- or splenomegaly compared with those without brucellosis.
Consistent with other research, we found that thrombocytopenia and leukopenia were associated with brucellosis.42,43 Although anemia was not associated with brucellosis in our study, it is notable that 42.9% of the participants with brucellosis with hematologic data had anemia. This proportion with anemia is comparable to that found in other studies.41–43,49,50 Several studies have identified patients with pulmonary brucellosis and pleural effusions.51–55 Although we identified 1 (11.1%) patient with brucellosis and pleural effusion, it was not a consistent finding in our cohort.
Available literature on the interaction between HIV and brucellosis is mixed. Two recent cross-sectional seroprevalence studies in Iran have shown an association between HIV and brucellosis seroprevalence.56,57 Case reports have proposed an association between HIV and B. canis,58,59 and between HIV and relapsing brucellosis.60 Consistent with our study, others have found no association between HIV and brucellosis.61,62 However, we did find that participants with brucellosis were more likely to have other bacterial zoonoses compared with participants without brucellosis. Although this may be caused by serologic cross-reactivity, prior studies have also shown co-infections with other zoonoses among patients with brucellosis,37,63 suggesting shared risk factors for these infections.
Our study eligibility criteria and case definitions were not optimized to detect chronic brucellosis. We defined confirmed acute brucellosis on the basis of a ≥ 4-fold increase in MAT titer between acute and convalescent serum samples. Those meeting the definition for probable brucellosis may have had chronic brucellosis, in which an increase in MAT titer would not be expected. Although no conclusions can be drawn because of sample size, it is interesting to note that the median duration of illness before enrollment of patients with probable brucellosis was 45 days. Others have shown extended delays in health-seeking behaviors among individuals with brucellosis in sub-Saharan Africa.6 A large proportion of individuals with probable brucellosis also had several clinical signs classically ascribed to brucellosis, including hepato- or splenomegaly, lymphadenopathy, and radiographic evidence of pleural effusions. The one participant with probable brucellosis who did not survive to hospital discharge died with complications of a chronic pulmonary infection other than tuberculosis. Although we were unable to confirm the responsible pathogen, the clinical picture could be consistent with chronic brucellosis with pulmonary involvement.
Our study had several limitations. First, despite the relatively large sample size of the overall study, relatively few cases of confirmed brucellosis were identified. One consequence was that the sample size was too small to permit a multivariable analysis. Second, no confirmed case of brucellosis had a Brucella-positive blood culture. Prior antibacterial use may have lowered the sensitivity of the Brucella blood cultures, as 12 (75.0%) confirmed brucellosis cases had evidence of antibacterials in the urine at the time of enrollment, and 6 (37.5%) self-reported antibacterial use before hospitalization. Furthermore, in patients with serum agglutination test results suggestive of brucellosis, Brucella-positive blood culture prevalence is relatively low, ranging from 32% to 58%.44,64–66 The third limitation is that our study catchment population may not have captured the full agro-ecologic diversity of northern Tanzania. In particular, nomadic pastoralists, a group at particular risk for brucellosis,16,22,37,38 may have been underrepresented among KCMC or MRH inpatients. Finally, case definitions biased our study toward the detection of acute brucellosis, whereas those with chronic brucellosis may contribute greatly to the burden of illness and death. Furthermore, because a confirmed case required collection of convalescent serum 4–6 weeks after enrollment, it was impossible to identify acute brucellosis-associated deaths for participants with blood cultures negative for Brucella.
We show that brucellosis is an underappreciated and often misdiagnosed cause of febrile illness among hospitalized patients in sub-Saharan Africa. Simple, rapid diagnostic tests with adequate performance characteristics on acute specimens are needed to assist with the identification of patients with brucellosis.8,67,68 To better prevent human brucellosis, it is important to target control of brucellosis in animal reservoirs,3 including the use of the Brucella species-specific B. melitensis Rev 1 and B. abortus S19 and RB51 vaccines.69 Closer collaboration between human and animal health experts is needed to better define which Brucella species are responsible for both human and animal brucellosis in sub-Saharan Africa. Additional research regarding local risk factors for human brucellosis, and the epidemiology of both human and animal brucellosis, is necessary to develop evidence-based prevention strategies in Tanzania.
ACKNOWLEDGMENTS
We thank Ahaz T. Kulanga, for providing administrative support to this study; Pilli M. Chambo, Beata V. Kyara, Beatus A. Massawe, Anna D. Mtei, Godfrey S. Mushi, Lillian E. Ngowi, Flora M. Nkya, and Winfrida H. Shirima for reviewing and enrolling study participants; Gertrude I. Kessy, Janeth U. Kimaro, Bona K. Shirima, and Edward Singo for managing participant follow-up; Jecinta J. Onyango for laboratory assistance; and Evaline Ndosi and Enock Kessy for their assistance in data entry. We acknowledge the Hubert-Yeargan Center for Global Health at Duke University for critical infrastructure support for the Kilimanjaro Christian Medical Centre-Duke University Collaboration. We are grateful to the leadership, clinicians, and patients of KCMC and MRH for their contributions to this research.
Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of Health and Human Services or the Centers for Disease Control and Prevention.
Footnotes
Financial support: This research was supported by an International Studies on AIDS-Associated Co-infections (ISAAC) award, a United States National Institutes of Health (NIH) funded program (U01 AI062563). Authors received support from the NIH Fogarty International Center AIDS International Training and Research Program D43 PA-03-018 (JAC, JAB, VPM), the Duke Clinical Trials Unit and Clinical Research Sites U01 AI069484 (JAC, JAB, VPM), the Duke University Center for AIDS Research P30 AI 64518 (JAB), R01TW009237 as part of the joint NIH-NSF Ecology of Infectious Disease program and the UK Economic and Social Research Council and Biotechnology and Biological Sciences Research Council (JAC, SC), NIAID-AI007392 (HMB), the Stead-Duke Global Health Institute (DGHI) Research Scholars Program (AJB), the American Society of Tropical Medicine and Hygiene (ASTMH) Benjamin H. Kean Traveling Fellowship in Tropical Medicine (AJB), the Infectious Diseases Society of America (IDSA) Medical Scholars Program (AJB), the Richard Schatz Travel Scholarship (AJB), and the J. Robert Teabeaut Scholarship (AJB). This publication was made possible with help from the Duke University Center for AIDS Research (CFAR), an NIH funded program (2P30 AI064518).
Disclosure: Presented in part at the 61st American Society of Tropical Medicine and Hygiene Annual Meeting, Atlanta, GA, November 11–15, 2012, abstract 1402.
Authors' addresses: Andrew J. Bouley, Holly M. Biggs, Anne B. Morrissey, John A. Bartlett, and John A. Crump, Department of Medicine, Duke University Medical Center, Durham, NC, E-mails: andrew.bouley@duke.edu, holly.biggs@duke.edu, amorr1023@gmail.com, john.bartlett@duke.edu, and john.crump@duke.edu. Robyn A. Stoddard, Bacterial Special Pathogens Branch, Division of High Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, E-mail: frd8@cdc.gov. Isaac A. Afwamba, Venance P. Maro, and Grace D. Kinabo, Kilimanjaro Christian Medical Centre, Moshi, Tanzania, E-mails: afwamba@gmail.com, venmaro@ymail.com, and gkinabo@hotmail.com. Wilbrod Saganda, Mawenzi Regional Hospital, Moshi, Tanzania. Sarah Cleaveland, College of Medicine, Veterinary Medicine and Life Sciences, University of Glasgow, Glasgow, United Kingdom, E-mail: sarah.cleaveland@glasgow.ac.uk.
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