ABSTRACT
Objective
Brucellosis is one of the most common zoonotic diseases in the world. This study evaluated the characteristics of brucellosis in childhood.
Materials and Methods
The study included 103 patients diagnosed with brucellosis. Patient data were obtained retrospectively from the hospital’s digital system and files.
Results
Mean age of the patients was 11.26 ± 4.705 years. The most common presenting complaints were arthralgia (88.3%), fever (65%) and fatigue (65%). There was a positive family history of brucellosis in 36.9% of the patients and a history of animal husbandry in 48.5%. Growth was observed in 37.7% of the 53 patients with blood culture samples. The highest number of admissions occurred during spring (37.8%), while the fewest admissions took place in winter (11.6%). Anemia was detected in 38 (36.9%) patients, neutropenia in 11 (10.7%), thrombocytopenia in 9 (8.7%), and pancytopenia was detected in 4 (3.9%) patients. Mean value of the Brucella capture test was significantly higher in patients with elevated C-reactive protein (CRP) levels and with organomegaly on abdominal ultrasonography (p< 0.05). It was observed that the presence of growth in blood culture was statistically significant in cases of low platelet count (p< 0.05). Correlation analysis was performed between all parameters. When evaluated with advanced regression analysis, it was found that there was a negative correlation between patients with growth in blood culture and CRP levels and platelet count and a positive correlation between CRP levels and creatinine levels and erythrocyte sedimentation rate (p< 0.05).
Conclusion
Our study suggests that while Brucella titer and erythrocyte sedimentation rate may not directly correlate with systemic involvement and the development of disease complications, CRP levels could serve as a potential predictor for systemic involvement and the development of complications in pediatric brucellosis. These findings could have significant implications for the diagnosis and management of brucellosis in children, potentially leading to earlier intervention and improved outcomes.
KEYWORDS
Brucella, brucella capture titer, CRP, blood culture
INTRODUCTION
Brucellosis is one of the most common zoonotic diseases worldwide (1). It is particularly prevalent in Mediterranean countries, India, the Middle East, and Central/South America. Approximately 500.000 cases are reported worldwide each year, and it is estimated that 2.4 billion people are at risk (1,2). The prevalence of brucellosis is increasing due to heightened international tourism, trade, and migration. The main routes of transmission include the consumption of unpasteurized contaminated milk and dairy products, contact of the skin or mucous membranes with infected animal tissue (such as placenta or abortion products) or fluids (such as blood, urine, or milk) from infected animals, inhalation of infected aerosols, or inoculation into the conjunctiva (3). Brucellosis is a disease that can affect multiple organs and systems, including the heart, gastrointestinal system, central nervous system, genitourinary system, hematopoietic system, and particularly, the osteoarticular system (4). It typically presents with an insidious onset of fever, night sweats, fatigue, and arthralgia. Other symptoms may include weight loss, back pain, headache, dizziness, anorexia, dyspepsia, abdominal pain, cough, and depression. Physical examination is variable and nonspecific; hepatomegaly, splenomegaly, and/or lymphadenopathy may be observed. Since the complaints, symptoms, and physical examination findings are not specific to the disease, obtaining a thorough history is crucial for diagnosis (4). Delays in diagnosis and treatment can lead to increased morbidity and mortality (5). The definitive diagnosis of brucellosis can be established by culturing the organism (from blood, body fluids, or tissues) or by a ≥4-fold increase in Brucella antibody titer between acute and convalescent serum samples taken ≥2 weeks apart (6,7). A presumptive diagnosis can be made by an antibody titer of ≥1:160 measured using the standard tube agglutination test or by detecting Brucella DNA in a clinical sample via polymerase chain reaction. Brucellosis treatment aims to control the disease and prevent complications, relapses, sequelae, and mortality (6,7). This retrospective study aimed to examine the demographic and epidemiological characteristics of the patients, acute phase reactants, serological tests, biochemical and hematological parameters, culture results, and radiological findings, as well as to determine whether there was an association between Brucella capture titer, acute phase reactants, and the presence of growth in blood cultures and other parameters.
MATERIALS AND METHODS
This study included 103 patients aged 1 month to 18 years who were diagnosed with acute brucellosis and who applied to Dicle University Faculty of Medicine Children’s Health and Diseases Hospital as outpatients between January 1, 2016 and March 31, 2023. Brucellosis diagnosis was based on a comprehensive set of criteria including clinical findings, isolation of Brucella microorganisms from blood and/or Brucella capture agglutination titer >1/160. Demographic characteristics of the patients, presenting complaints, complete blood counts, biochemical tests, blood culture results, serological laboratory data, radiological imaging findings, and administered treatments were obtained retrospectively from the hospital’s digital system and the medical files of the patients. Patients with brucellosis from whom sufficient data could not be obtained were excluded from the study. Biochemical parameters were evaluated using the Olympus AU5800 Beckman Coulter device. Approximately 2 mL of blood was collected into an EDTA hemogram tube and evaluated using the Sysmex XN 1000 Hematology Analyzer for complete blood counts. C-reactive protein (CRP) was evaluated using the nephelometric method on the olympus AU5800 Beckman Coulter device. The reference range for CRP levels was 0-5 mg/L, with values >5 considered elevated. Erythrocyte sedimentation rate (ESR) was evaluated using the Grenier Sed Rate SCR Vision device. The reference range for ESR was 0-20 mm/h, and values >20 were considered elevated. Blood cultures were collected upon admission to the hospital before initiating brucellosis treatment. Blood samples collected into BACTEC blood culture bottles were examined using the BD BACTEC FX automated blood culture device for at least seven days and monitored for Brucella spp. growth. Blood cultures were taken from patients who showed prolonged fever, systemic symptoms, or suspected bacteremia. In our hospital, blood culture samples can only be taken from patients who are being followed up as inpatients. Therefore, blood cultures could not be taken from patients who applied to the outpatient clinic and continued their diagnosis and treatment as outpatients. Complete blood count parameters of the patients, including hemoglobin (Hb), leukocyte count (WBC), and platelet count, were evaluated while considering the age of the patients. An Hb value of two SD or below was considered indicative of anemia. WBC values below the lower limit according to age were considered leukopenia, while those above the upper limit were considered leukocytosis (8). Platelet values below 150.000/mm³ were classified as thrombocytopenia. Cases with WBC, Hb level, and platelet count values below the normal range for age were classified as pancytopenia; cases with two out of three of these values below the lower limit for age were classified as bi-cytopenia; neutrophil values below the lower limit for age were classified as neutropenia, and lymphocyte/ monocyte values above the upper limit for age were classified as lymphomonocytosis. In cases where the liver and/or spleen were above the upper age limit on abdominal ultrasound (USG), cases of enlarged liver only were classified as hepatomegaly, enlarged spleen only were classified as splenomegaly, and both enlarged liver and spleen were classified as hepatosplenomegaly (9). Systemic involvement was determined according to hepatosplenomegaly, sacroiliitis, endocardial involvement (on echocardiography), changes in complete blood parameters and liver enzymes. Ethical Considerations Approval for the study was obtained from the Dicle University Faculty of Medicine Ethics Committee (Date: 17.05.2023, Number: 22). Statistical Analysis Study data were analyzed using SPSS 22. Fisher’s exact test, Pearson’s chi-squared test, Pearson correlation, multiple linear regression, T-test (for independent samples), and One-Way analysis of variance (ANOVA) were used for data comparison. Categorical data were expressed as frequency and percentage, while continuous data were expressed as mean ± standard deviation and min-max values. In the analyses, a p-value of <0.05 was considered statistically significant, and a p-value of >0.05 was considered statistically insignificant.
RESULTS
Mean age of the patients was 11.26 ± 4.705 years (min: 2, max: 18 years). Of these, 43 (41.7%) were female and 60 (58.3%) were male. Geographical distribution revealed that 73 (70.8%) were from the Southeastern Anatolia Region, and 30 (29.2%) were from the Eastern Anatolia Region. Forty-six (44.7%) patients resided in the city center, while 57 (55.3%) lived in rural areas. A family history of brucellosis was reported in 38 (36.9%) patients, and 50 (48.5%) patients had a family history of animal husbandry (Table 1). Regarding the timing of hospital admissions, it was found that admissions occurred most frequently in march (13.5%), april (13.5%), may (10.6%), and august (10.6%). The highest number of admissions occurred during spring (37.8%), while the fewest admissions took place in winter (11.6%) (Table 1). The most common complaints among the patients were as follows: Arthralgia in 91 (88.3%) patients, fever in 67 (65%), and fatigue in 67 (65%). Rare symptoms included scrotal pain in one patient and nosebleeds in two patients (Table 1). On admission, Brucella capture titers were found to be 1/5120 in 47 (45.7%) patients, 1/2560 in 17 (16.5%) patients, 1/1280 in 13 (12%) patients, 1/640 in 16 (15.5%) patients, and 1/320 in 7 (6.8%) patients. Only three (2.9%) patients had a titer of 1/160 on admission. Laboratory parameters of the patients included in the study are shown in Table 2. In evaluating laboratory parameters according to age range and reference values, anemia was detected in 38 (36.9%) patients, neutropenia in 11 (10.7%) patients, thrombocytopenia in 9 (8.7%) patients, and pancytopenia was detected in 4 (3.9%) patients. Additionally, elevated CRP levels were detected in 68.6% (n= 70) of the patients, and an increase in the ESR was found in 58.3% (n= 42/72) of the patients, with abnormalities in at least one liver function test (transaminase) detected in 27 (26.7%) patients. Blood culture samples were obtained from 53 patients, and growth was detected in 20 (37.7%) of these patients, with Brucella melitensis identified in all positive cultures. In examining patients for radiological findings, hepatosplenomegaly was found on abdominal USG in 17 (16.5%) patients. Hepatomegaly alone was observed in 6 (5.8%) patients, while splenomegaly was noted in 5 (4.8%) patients. No endocarditis, myocarditis or serious cardiac complications were detected in any of the patients in echocardiographic (ECHO) evaluations. Mild mitral regurgitation was seen in seven patients and mild aortic regurgitation in one patient. Magnetic resonance imaging (MRI) was performed to detect sacroiliitis, and findings indicating sacroiliitis were observed in 8 (7.7%) patients. In evaluating the relationship between growth status in blood culture and complete blood count, acute phase reactants, and biochemical parameters, the platelet count in patients with detected growth in blood culture was statistically significantly lower than that in patients without growth (198.25 ± 81.74 vs. 272.90 ± 101.33; p< 0.05). No significant differences were found in terms of other parameters. Comparing blood culture results with other nonparametric values, a statistically significant result was found between the presence of growth in blood culture and organomegaly (p< 0.05). No significant relationships were identified between anemia, thrombocytopenia, pancytopenia, elevated acute phase reactants (CRP, ESR), elevated transaminase levels, ECHO, and MRI findings. In examining the relationship between nonparametric laboratory and imaging results and Brucella capture titer, it was found that the Brucella capture titer was significantly higher in patients with elevated CRP and organomegaly detected on abdominal USG (p< 0.05). Additionally, no statistically significant differences were observed between thrombocytopenia, elevated ESR, elevated transaminase levels, growth in blood culture, sacroiliitis, and Brucella capture titer (p> 0.05) (Table 2). In evaluating the correlation between Brucella capture titers and the results of complete blood counts and biochemical laboratory tests, a positive correlation was found between Brucella capture titers and levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), and red cell distribution width. Conversely, a negative correlation was observed between Brucella capture titer and neutrophil count, albumin, and total bilirubin (p< 0.05). When a linear regression analysis was performed for the significant results obtained in the Pearson correlation analysis, no significant correlation among these parameters was established (p> 0.05) (Table 3). According to the ANOVA test results (F= 0.371; p> 0.05), there were no significant differences between the Brucella capture value and hematological findings (pancytopenia/bi-cytopenia/ neutropenia). In examining the correlation between patient (ESR) values and other laboratory parameters, a negative correlation was found between ESR and red blood cell count, Hb, hematocrit, and albumin. In contrast, a positive correlation was noted between ESR and CRP (p< 0.05). In advanced regression analysis performed for the five parameters correlated with ESR, only the positive correlation CRP was found to be significant (p< 0.05) (Table 4). When examining the correlation between the patient’s CRP values and other laboratory parameters, a negative correlation was observed between CRP values and albumin and platelet count. In contrast, a positive correlation was found between CRP values and creatinine, ESR, Brucella capture titer, AST, and urea (p< 0.05) (Table 5). A linear regression analysis for these results indicated a positive correlation between CRP values and creatinine and ESR (p< 0.05) and a negative correlation between CRP values and platelet count (p< 0.05) (Table 5).
DISCUSSION
Brucellosis is the most common zoonotic disease in the world. It is a significant public health problem in developing countries, including ours. Brucellosis can affect any individual, regardless of sex and can occur at any age, depending on exposure. Given that it is a zoonotic disease, the occupation of animal husbandry is a critical risk factor for this condition. Among the studies conducted on brucellosis in children, mean age of the patients was 7.75 ± 3.28 years in the study by Salman et al., where 69.6% of the participants were male and 30.4% were female. In the study by Özdem et al., where 61.4% of the patients were male, and 38.6% were female, the mean age was found to be 10.4 years, with 6% of the patients’ families engaged in animal husbandry and 37% having a family history of brucellosis. The study by Ahmetagić et al. determined that 67% of the patients’ families were involved in animal husbandry, and 58% had a family history of brucellosis. In the research conducted by Buzgan et al., it was reported that 42.3% of patients came from families engaged in animal husbandry, while 17.8% had a family history of brucellosis. Tanır et al. reported that 57.8% of patients lived in rural areas and 42.2% in urban areas. In our study, the patient’s mean age was 11.26 ± 4.705 years; 58.3% were male, and 41.7% were female (10-14).
| Pearson correlation analysis | |||||
| Laboratory parameters | r | p | |||
|---|---|---|---|---|---|
| RDW | 0.269 | 0.006 | |||
| NEU | -0.201 | 0.042 | |||
| Albumin | -0.214 | 0.042 | |||
| Total bilirubin | -0.290 | 0.008 | |||
| Direct bilirubin | -0.308 | 0.007 | |||
| ALT | 0.225 | 0.024 | |||
| AST | 0.248 | 0.013 | |||
| Linear regression analysis | |||||
| Variables | B | SH | β | t | p |
|---|---|---|---|---|---|
| Constant | 7252.931 | 3208.875 | 2.260 | .028 | |
| RDW | 35.298 | 139.042 | .034 | .254 | .801 |
| NEU | -42.339 | 118.263 | -.047 | -.358 | .722 |
| Albumin | -1179.748 | 617.777 | -.309 | -1.910 | .062 |
| Total bilirubin | -515.126 | 1944.783 | -.055 | -.265 | .792 |
| Direct bilirubin | -5077.630 | 4820.226 | -.229 | -1.053 | .297 |
| ALT | 3.101 | 4.386 | .154 | .707 | .483 |
| AST | .315 | 6.761 | .011 | .047 | .963 |
| LDH | 1.277 | 1.493 | .124 | .855 | .397 |
Note: Although some variables (e.g. ALT, albumin, NEU) demonstrated statistically significant Pearson correlations with Brucella capture titers. They did not remain significant in the multivariate linear regression model. This discrepancy may be attributed to potential confounding and shared variance among predictors. The β (beta) coefficients reflect the direction and adjusted strength of association after controlling for other variables.
RDW: Red cell distribution width, NEU: Neutrophil count, ALT: Alanine aminotransferase, AST: Aspartate aminotransferase, LDH: Lactate dehidrogenase.
| Pearson correlation analysis | |||||
| Laboratory parameters | r | p | |||
|---|---|---|---|---|---|
| RBC | -0.280 | 0.017 | |||
| HB | -0.271 | 0.021 | |||
| HCT | -0.322 | 0.006 | |||
| Albumin | -0.287 | 0.021 | |||
| CRP | 0.281 | 0.018 | |||
| Linear regression analysis | |||||
| Variables | B | SH | β | t | p |
|---|---|---|---|---|---|
| Constant | 84.756 | 24.329 | 3.484 | .001 | |
| RBC | -3.662 | 7.390 | -.100 | -.496 | .622 |
| HB | -1.591 | 3.179 | -.126 | -.500 | .619 |
| HCT | -.706 | 1.343 | -.164 | -.526 | .601 |
| Albumin | -.014 | 5.806 | .000 | -.002 | .998 |
| CRP | .134 | .064 | .274 | 2.087 | .041 |
RBC: Red blood cell, HB: Hemoglobin, HCT: Hematocrit, CRP: C-reactive protein.
| Pearson correlation analysis | |||||
| Laboratory parameters | r | p | |||
|---|---|---|---|---|---|
| Creatinine | 0.400 | 0.001 | |||
| ESR | 0.281 | 0.018 | |||
| Brucella capture | 0.206 | 0.037 | |||
| PLT | -0.284 | 0.004 | |||
| Albumin | -0.323 | 0.002 | |||
| AST | 0.350 | 0.001 | |||
| Urea | 0.301 | 0.003 | |||
| Linear regression analysis | |||||
| Variables | B | SH | β | t | p |
|---|---|---|---|---|---|
| Constant | 33.056 | 41.036 | .806 | .424 | |
| Creatinine | 62.185 | 20.463 | .335 | 3.039 | .004 |
| ESR | .571 | .207 | .276 | 2.766 | .008 |
| Brucella capture | .001 | .002 | .055 | .553 | .583 |
| PLT | -.137 | .046 | -.301 | -2.964 | .005 |
| Albumin | -9.994 | 8.083 | -.131 | -1.236 | .222 |
| AST | .061 | .057 | .115 | 1.071 | .289 |
| Urea | .681 | .438 | .169 | 1.555 | .126 |
ESR: Erythrocyte sedimentation rate, PLT: Platelet count, AST: Aspartate aminotransferase.
CONCLUSION
-