Abstract
Background
Urinary tract infections (UTI) are a common medical problem affecting the general population and thus commonly encountered in medical practice, with the global burden of UTIs at about 150 million people. Because uropathogens largely originate from colonic flora, they are easy to predict, and this is the rationale for empirical treatment in Community Acquired-UTI (CA-UTIs). With the increasing prevalence of drug-resistant bacteria among adults with CA-UTI in Uganda, it is no longer adequate to manage CA-UTIs on empiric regimen without revising the susceptibility patterns of common CA-UTI causative agents. Thus in this study we set out to identify: The factors associated with CA-UTIs, the common uropathogens and the drug sensitivity patterns of the common uropathogens cultured.
Methodology
This was a cross-sectional study that was conducted in adults who presented with symptoms of a UTI at Mulago Hospital, assessment center. There were 139 patients who consented to the study and were recruited, an interviewer administered questionnaire was used to collect information from the study participants as regards demographic, social and clinical characteristics and Mid Stream Urine (MSU) samples were collected for urinalysis, culture and antibiotic susceptibility testing using the Kirby-Bauer disc diffusion technique was applied to the isolates.Numeric data were summarized using measures of central tendency while the categorical data was summarized using proportions and percentages.
Results
Age, female sex and marital status were factors that were significantly associated with CA-UTIs. Fifty four (54) cultures were positive for UTI with 26 giving pure growths. The commonest uropathogen isolated was Escherichia coli at 50%, this was followed by Staphylococcus aureus at 15.4%. The sensitivity of Escherichia coli to Ampicillin and Nitrofurantoin were78.6%, 64.3% respectively, and the sensitivity of Staphylococcus aureus to ciprofloxacin, Nitrofurantoin and gentamycin were 100%, 66.7% and 66.7% respectively.
Conclusion
There are known factors associated with CA-UTIs such as age, female sex. There was generally high sensitivity to nitrofurantoin and gentamycin by most of the uropathogens isolated, and high resistance to the common antibiotics such as nalidixic acid and erythromycin thus a need for a bigger study that can be used to effect the change of the current recommendations in the Uganda Clinical Guidelines as regards empirical management of CA-UTIs.
Keywords: Community-acquired urinary tract infections, assessment centre, Mulago Hospital Uganda
Background
Urinary tract infections (UTI) are a common medical problem affecting the general population and thus commonly encountered in medical practice. Community acquired urinary tract infection (CA-UTI); defined as an infection of the urinary tract that occurs in the community or within less than 48 hours of hospital admission and was not incubating at the time of hospital admission, is the second commonest diagnosed infection in the community1. The global burden of UTIs is about 150 million people2. Host associated and bacterial virulence factors are necessary in the pathogenesis of UTI3.The commonest organisms isolated in most CA-UTIs are Escherichia coli and Klebsiella spp4, Other bacteria isolated from UTI include the Enterococcus spp, Proteus spp, Pseudomonas aeruginosa and Staphylococci among others4ȓ7. Because uropathogens largely originate from colonic flora, they are easy to predict. This is the rationale for empirical treatment in CA-UTI.
The management of CA-UTI entails the prompt use of antibiotics to eliminate the pathogen to avoid complications including but not limited to scarring that could lead to hypertension and end-stage renal disease3. The antimicrobial susceptibility patterns of the organisms causing CA-UTI however, vary according to each region and from time to time due to the antibiotic prescription practices of health care workers (HCWs). It is thus mandatory to document the risk factors of CA-UTIs, microbes and antimicrobial susceptibility patterns of pathogens causing CA-UTI. The guidelines for empirical management of CA-UTIs in Uganda has been in place for a while yet the susceptibility patterns of the organisms have been demonstrated to change8,9. With the increasing prevalence of drug-resistant bacteria among adults with CA-UTI in Uganda, it is no longer adequate to manage CA-UTIs on empiric regimen without revising the susceptibility patterns of common CA-UTI causative agents.
The empirical treatment limits opportunities for surveillance of antibiotic resistance among pathogens that cause CA-UTI, and also if regularly updated to match changing susceptibility patterns; empirical treatment is a convenient strategy for effective resource utilization. In this study we set out to identify 1) The factors associated with CA-UTIs, 2) The common uropathogens and 3) The drug sensitivity patterns of the common uropathogens cultured. Findings from this study expanded on findings from earlier studies to affect the current practice of empiric therapy of CA-UTI in Uganda.Furthermore, an understanding of the most common host-associated factors to CA-UTIs in Uganda can help in developing preventive interventions against CA-UTIs, thus reducing on the disease burden and health costs.
Methods
Study design and setting
This was a cross-sectional study that was conducted in adults who presented with symptoms of a UTI at Mulago Hospital, assessment center which is the out-patient setting of Mulago National Referral Hospital. Patients were recruited from Mulago National Referral Hospital, assessment center, located about 200m from the Makerere Medical Microbiology Laboratory. The Mulago Hospital assessment centre receives an average of 300 patients a day, some come in as self referrals and others are referrals from other hospitals and nearby medical centres. The urine samples were processed at the Makerere Medical Microbiology laboratory at the College of Health Sciences. This is a clinical microbiology laboratory that adheres to Good Clinical Laboratory Practices (GCLP).
Sample size and study participants
One hundred thirty nine patients were recruited for the study. The sample size of 139 was calculated using survey formula by Kish Leslie (1965); n = z2 p (1-p)/d2. Where N= estimated sample size, Z = Z score for 95% confidence interval = 1.96, p = disease prevalence; According to Mwaka et al, the prevalence of UTI is 10%10., d=acceptable margin of error= 5% = 0.05.
To estimate the sample size for the factors associated with UTIs, the method for calculating sample size for two proportions was employed. n = (Z1+Z2)22P (1-P) / (P2–P1)2 where; Z1 is Z value at 95% level of significance = 1.96, Z2 is Z value at 80% power = 0.84, P1 is proportion of patient with UTI among males=14.1%11, P2 is proportion of patient with UTI among females =27.1%11, P=(P1+ P2)/2. The sample size calculated was less than the sample size for the prevalence so we used the bigger of the two sample sizes.
The study included individuals above 18 yrs of age who presented to Mulago hospital Assessment Center with symptoms suggestive of UTI including; lower abdominal or flank pain, dysuria and hematuria, urgency, frequency, hesitance, and consented to be part of the study. Patients who were mentally handicapped were not included in the study because they were unable to consent
Study variables
An interviewer administered questionnaire was used to collect information from the study participants as regards, demographic data: age, sex, Occupation, address, marital status and level of education. Symptoms of UTI and for how long they have been experiencing the symptoms. Host associated factors ,medical history including: antibiotics for current UTI episode, antibiotics in the past one month for any other illnesses, vaginal infections in females and treatment taken, chronic illnesses, history of UTI by the participant and any family members with a UTI. Sexual habits including, number of sexual partners, and number of times they have sex in a week, condom use and history of douching in female participants. Environmental hygiene including,if they have access to a personal toilet/latrine at home, use of public toilets/latrines in the past 6 months,and whether the toilets were for seating or squatting, the average number of times they use the toilets/latrines and whether they wash hands after visiting the toilets/latrines.
Data and sample collection
The staff members at Mulago hospital assessment center were briefed about the study and then qualified medical officers at the study site screened and diagnosed patients who presented with symptoms of UTI. Upon completion of the management plan, the medical officers would direct the patients to the study investigators at the study site. The study investigators would then explain the goal of the study to each patient in details and ask them for their consent for participation in the study. Individuals who consented were asked to fill in an interviewer administered questionnaire which was directed at demographic information, symptoms of UTI and host-associated factors for CA-UTI.
We collected 139 midstream urine samples from 139 study participants using a standard procedure and in a sterile, wide mouthed, screw-capped, transparent plastic container. The procedure was explained to each participant both males and females. For male patients they were given four pieces of sterile gauze, they were instructed to start by cleaning the tip of the penis with the two gauzes soaked in soap, then clean with the gauze soaked in normal saline and finally with the dry gauze. For the males who were not circumcised they were requested to draw back the foreskin before cleaning. The patients were requested to discard the few initial mls of urine and collect about 10–20mls of the mid-portion into the container provided. For females they were also given four pieces of gauze and were instructed to squat and part the labia then clean around the urethral opening from front to back starting with the two pieces of gauze that were soaked in soap, then clean with the gauze soaked in normal saline and dry with the dry gauze. The patients were requested to discard the few initial mls of urine and collect about 10–20mls of the mid-portion into the container provided.
All MSU samples were packed in a cool box and transported to the Makerere Medical School Microbiology laboratory under 2 hours of collection. The Makerere Medical School Microbiology laboratory is about 200 meters away from Mulago Hospital Assessment Center. The samples were analyzed immediately after they had been entered in a log book on arrival at the laboratory. Macroscopically; the colour of urine was determined by visual inspection if colorless, pale yellow or blood stained. The consistency of urine was determined if clear or turbid. Microscopically; about 10ml of urine was centrifuged 500–1000g for 5 minutes. The supernatant was discarded and the sediment was examined initially under X10 followed by X40 for White Blood Cells, Red Blood Cells, bacteria, yeasts, cell casts,Trichomonas vaginalis, motile trophozoites, Schistosoma haematobium eggs and bacteria10. Chemical analysis; A urine dipstick was used to determine the following parameters; pH, leukocyte esterase, glucose, bilirubin, urobilinogen, blood, ketones, nitrite production, and proteins in urine
Culture
Using a calibrated loop, 1ml of the MSU was inoculated onto MacConkey agar with crystal violet and 5% sheep blood agar and Cystine Lactose Electrolyte Deficient (CLED) agar. CLED was used as it gives consistent results and allows the growth of both gram negative and gram positive bacterial pathogens, and it also prevents the swarming of Proteus species10.The agar plates that were streaked with the urine sample were incubated under aerobic conditions, at a temperature of 37°C and observed after 18–24 hours. Agar plates with pure growth and colonies were used for identification and sensitivity testing. The organisms were identified using biochemical tests including, urease, and motility tests, including triple sugar iron agar, Simmon's citrate agar, and lysine decarboxylase10.
Sensitivity
Sensitivity tests were done using the Mueller-Hinton-2-agar, following the commercial disc diffusion techniques of Kirby-Bauer, against Ampicillin (10mcg), Sulfamethoxazole-trimethoprim (25mcg and 125mcg), gentamycin (10mcg), ciprofloxacin (5mcg), Nitrofurantoin (300mcg), cefuroxime (30mcg), nalidixic acid (30mcg), amoxicillin-clavulanic acid (20/10 mcg)12. Colony-saline mixtures were made my emulsifying colonies into sterile saline in test tubes and this colony-saline mixture were applied onto the surface of the Mueller-Hinton-2-agar. Antibiotic impregnated discs for the antibiotics mentioned above were placed on the agar surface with a minimum distance of 25mm apart and the agar plates were incubated aerobically at a temperature of 370C for 18–24 hours. The zones of inhibition diameters were measured using a ruler and were compared against the zone diameter interpretative standards recommended by the National Committee for Clinical Laboratory Standards (NCCLS/CLSI), 200513. The results after processing were recorded as sensitive or resistant to the antibiotic used.
Data management and analysis
All the raw data from questionnaires and microbiology analysis was recorded into a database generated using Epidata version 3.1 and then transferred to STATA version 12 for analysis. Numeric data was summarized using measures of central tendency while the categorical data was summarized using proportions and percentages. Comparisons were made between participants who had UTI and those who had no UTI. For the parametric continuous data, the comparisons were made using the student t-test while for the non parametric data; Wilcoxon Rank sum test was used. For the categorical data, comparisons were done using the Chi-squares and the Fisher's exact test. The outcome was dichotomized as presence or absence of UTI and logistic regression was used to assess for the associations. Bivariate analysis was applied and all the variables with a p value of 0.2 or less were entered into multivariate models. Interaction and confounding were assessed. All significance was put at p value of 0.05 or less.
Ethical consideration
We obtained approval for the study from School of Biomedical Sciences Research and Ethics Committee (SBSREC), Makerere University, College of Health Sciences. Approval was also obtained from Mulago Hospital Research and Ethics Committee, and written informed consents were obtained from every study participants. Finally, Laboratory IDs were assigned to patients' samples before analysis for confidentiality.
Results
Socio-demographic and clinical characteristics
A total of 139 participants took part in the study, of these 110 (79.71%) were females, 71 (52.21%) were married, 53(40.14%) had attained a secondary level of education and the great majority, 112(81.75%) lived within Kampala, as showed by the table of socio-demographics (table 1).
Table 1.
Variables | Categories | Number (n=138) | Percentages. % |
Sex | Female | 110 | 79.71 |
Male | 28 | 20.29 | |
Address | Kampala | 112 | 81.75 |
Wakiso | 12 | 8.76 | |
Others* | 13 | 9.49 | |
Occupation | Student | 20 | 15.15 |
Self employed | 70 | 53.03 | |
Civil servant | 7 | 5.30 | |
Not employed | 35 | 26.52 | |
Marital status | Single | 63 | 46.32 |
Married | 71 | 52.21 | |
Separated | 2 | 1.47 | |
Level of education | Primary | 51 | 38.64 |
Secondary | 53 | 40.15 | |
Tertiary | 25 | 18.94 | |
No formal education | 3 | 2.27 |
Of all the study participants, 8(7.55%) practiced douching, 11(11.11%) had multiple sexual partners, only 16(16.16%) used condoms,116 (84.06%) were using public toilets and majority 133(97.03%) reported to be washing hands after using toilets, as shown in the table of risk factors for community acquired UTIs (table 2)
Table 2.
Variables | Categories | Number | Percentages. | ||
History of vaginal infections |
33(50.00) | 33(50.00) | 0.015 | ||
26 and above | 50(70.42) | 21(29.58) | |||
sex | Female | 61(55.96) | 48(44.04) | 0.029 | |
Male | 22(78.57) | 6(21.43) | |||
Vaginal infection in last 4 weeks. |
Yes | 22(47.83) | 24(52.17) | ||
Douche | Yes | 4(50.00) | 4(50.00) | 0.713 | |
Type of toilet | Seater | 12(66.67) | 6(33.33) | ||
Squatter | 48(64.00) | 27(36.00) | 0.442 | ||
Latrine | 11(50.00) | 11(50.00) | |||
Hand washing | Yes | 80(60.15) | 53(39.85) | ||
Amikacin | -- | -- | -- | 1/1(100) | |
Vancomycin | -- | -- | -- | -- | |
Erythromycin | -- | 1/3(33.3) | -- | -- | |
Ceftizoxime | 1/14(7.1) | -- | -- | -- | |
Ceftazidine | 1/14(7.1) | -- | -- | -- |
*"--"means there was missing information in that section.
Comparisons
Of the participants with symptoms suggestive of UTIs, 84 patient urine samples had no bacterial growth, 54 (39.13%) were found to actually have UTIs, with 26(18.84%) patient urine samples having pure bacterial growth while the remaining 28(20.29%) urine samples had mixed bacterial growth, one sample was contaminated and thus was not considered. Age and sex were significantly associated with UTIs with p- values of 0.015 and 0.029 respectively, as shown in the table for comparison between participants with UTI and no UTI (table 3)
Table 3.
No UTI ( 83 ) | UTI ( 54) | |||
Variable | Categories | N(percentage) | N(percentage) | P- value |
Age | Below 26 | |||
Habit | Not regular | 20(51.28) | 19(48.72) | |
1 to 2 | 17(80.95) | 4(19.05) | 0.114 | |
3 to 4 | 13(56.52) | 10(43.48) | ||
Over 4 | 3(42.86) | 4(57.14) | ||
Condoms | Yes | 9(56.25) | 7(43.75) | 0.724 |
Family history | Yes | 14(77.78) | 4(22.22) | 0.112 |
Personal toilet | Yes | 49(59.76) | 33(40.24) | 0.708 |
Public toilet | Yes | 71(61.74) | 44(38.26) | 0.527 |
Type of toilet | Seater | 12(66.67) | 6(33.33) | |
Squatter | 48(64.00) | 27(36.00) | 0.442 | |
Latrine | 11(50.00) | 11(50.00) | ||
Hand washing | Yes | 80(60.15) | 53(39.85) |
Macroscopy, Microscopy, culture and sensitivity
Most of the urine samples collected were pale yellow and clear 48(34.78%), 136 (97.85%) had absent glucose and the mean ph was 6.5 with a standard deviation of ±1.43, microscopically, 75(59.52%) of the urine samples had white blood cells, 24(28.24%) red blood cells and 10(21.74%) had casts,as showed in (table 4).
Table 4.
Variables | Categories | Value |
Appearance | Pale yellow, clear | 48(34.78) |
Pale yellow, turbid | 43(31.16) | |
Yellow, clear | 9(6.52) | |
Yellow, turbid | 22(15.94) | |
Colourless, clear | 2(1.45) | |
Reddish, turbid | 4(2.90) | |
Amber, turbid | 3(2.17) | |
Dark yellow, clear | 2(1.45) | |
Dark yellow, cloudy | 1(0.72) | |
Blood stained | 1(0.72) | |
Others | 3(2.17) | |
Glucose | Present | 3 (2.15) |
Absent | 136(97.85) | |
Protein | Present | 22(15.83) |
Absent | 117(84.17) | |
Ketones | + | 3(2.16) |
++ | 12(8.63) | |
Absent | 124(89.21) | |
Bilirubin | + | 3(2.16) |
++ | 1(0.72) | |
Urobilinogen 2mg/dl | 8(5.76) | |
absent | 127(93.52) | |
Ph (mean) ± SD | 6.5±1.43 | |
Wbc1 - in chemistry | + | 9(6.48) |
++ | 13(9.35) | |
+++ | 4(2.880 | |
25/mcl | 2(1.44) | |
75/mcl | 3(2.16) | |
Absent | 108(77.70) | |
Rbc1- in chemistry | + | 1(0.72) |
++ | 5(3.60) | |
+++ | 1(0.72) | |
250/mcl | 1(0.72) | |
absent | 131(94.24) | |
specific gravity(mean) ±SD | 1.005±0.009 | |
Nit- nitrates | + | |
Microscopy | White blood cells | 75(59.52) |
Red blood cells | 24(28.24) | |
casts | 10(21.74) | |
Epithelial cells | 24(55.81) | |
Yeast cells | 4(9.52) | |
Parasites | 8(100) |
The commonest uropathogen isolated was Escherichia coli at 50%, this was followed by Staphylococcus aureus with 15.4%. Other organisms cultured included, Actinomyces israelli 1(3.8%), Providentia spp 1(3.8%), Citrobacter spp 1(3.8%), Klebsiella spp 1(3.8%), streptococcus 1(3.8%) and others 4(15.4%).The sensitivity of Escherichia coli to qmpicillin and nitrofurantoin were78.6%, 64.3% respectively, the sensitivity of Staphylococcus aureus to ciprofloxacin, nitrofurantoin and gentamycin were 100%, 66.7% and 66.7% respectively (table 5).
Table 5.
Sensitivity results of some of the isolated uropathogens. | ||||
Drug |
Escherichia coli |
Staphylococcus aureus |
Klebsiella pneumoniae |
Providencia spp |
Nitrofurantoin | 9/14(64.3) | 2/3(66.7) | -- | 1/1(100) |
Ciprofloxacin | 8/14(57.1) | 3/3(100) | -- | -- |
Nalidixic acid | 2/14(14.3) | -- | -- | -- |
Gentamycin | 8/14(57.1) | 2/3(66.7) | 1/1(100) | -- |
Cotrimoxazole | -- | 2/3(66.7) | -- | -- |
Augmentin | 5/14(35.7) | -- | -- | -- |
Cefuroxime | 8/14(57.1) | -- | 1/1(100) | -- |
Ceftriaxone | 6/14(42.9) | -- | -- | -- |
Tetracycline | -- | 2/3(66.7) | -- | -- |
Oxacillin | -- | 1/3(33.3) | -- | -- |
Chloramphenicol | 7/14(50) | 1/3(33.3) | 1/1(100) | -- |
Ampicillin | 11/14(78.6) | -- | -- | 1/1(100) |
Vancomycin | -- | -- | -- | -- |
Erythromycin | -- | 1/3(33.3) | -- | -- |
Ceftizoxime | 1/14(7.1) | -- | -- | -- |
Ceftazidine | 1/14(7.1) | -- | -- | -- |
*"--"means there was missing information in that section.
Bivariate
When the study participants were compared in a Bivariate analysis, age 26 and above (a OR=2.38; 95%CI: 1.18–4.80), female sex (a OR=2.88; 95%CI: 1.08–7.67) and being married (a OR=0.45; 95%CI: 0.22–0.92) were significantly associated with UTIs, (table 6)
Table 6.
Variable | Categories | Unadjusted OR ( 95%CL) |
P- value | Adjusted OR(95% CL) |
p-value | |
Age | Below | 26 | 1 | 1 | ||
26 and above | 2.38(1.18–4.80) | 0.015 | 2.59(1.12– 5.99) |
0.025 | ||
sex | Male | 1 | 1 | |||
Female | 2.88(1.08–7.67) | 0.034 | 3.33 (1.11– 9.95) |
0.031 | ||
Practice Douche | Yes | 1 | ||||
No | 0.76(0.18–3.23) | 0.714 | ||||
occupation | Student | 1 | ||||
Self employed | 0.53(0.17–1.62) | 0.268 | ||||
Civil servant | 1 | |||||
Not employed | 0.37(0.11–1.26) | 0.114 | ||||
Marital status | Single | 1 | 1 | |||
Married | 0.45(0.22–0.92) | 0.030 | 0.29(0.13– 0.67) |
0.004 | ||
More than 1 sexual partner. | Yes | 1 | ||||
No | 2.90(0.58–14.46) | 0.194 | ||||
Condom use | Yes | 1 | ||||
No | 0.82(0.27–2.42) | 0.724 | ||||
Level of education | None | 1 | ||||
Primary | 3.1(0.26–36.48) | 0.368 | ||||
Secondary | 2.72(0.23–32.00) | 0.425 | ||||
Tertiary | 3.55(0.28–44.88) | 0.327 | ||||
Antibiotics for current Uti | Yes | 1 | ||||
No | 1.61(0.75–3.44) | 0.212 | ||||
Antibiotic-use in last 30 days | Yes | 1 | ||||
No | 1.25(0.58–2.70) | 0.565 | ||||
Any chronic illnesses | Yes | 1 | 1 | |||
No | 3.16(0.65–15.24) | 0.151 | 2.61(0.46– 14.69) |
0.275 | ||
Previous history of UTI. | Yes | 1 | ||||
No | 0.99(0.47–2.07)) | 0.985 | ||||
Family member with UTI | Yes | 1 | 1 | |||
No | 2.52(0.78–8.12) | 0.121 | 3.56(0.99– 12.80) |
0.052 | ||
Personal toilet/latrine. | Yes | 1 | ||||
No | 0.87(0.43–1.77) | 0.708 | ||||
Use of public toilet | Yes | 1 | ||||
No | 1.34(0.53–3.37) | 0.528 | ||||
Hand washing after toilet | Always | 1 | ||||
Not always | 1.98(0.33–11.80) | 0.450 | ||||
Type of toilet. | Seater | 1 | ||||
Squatter | 1.955(0.691–5.534) | 0.206 | ||||
Latrine | 1.667(0.387–7.170) | 0.493 |
Multivariate
When the study participants were compared in a multivariate logistic analysis, age 26 and above (a OR= 2.59; 95%CI: 1.12–5.99), female sex (a OR= 3.33; 95% CI: 1.11–9.95) and being married (a OR=0.29; 95%:0.13–0.67) were significantly associated with UTIs, (table 6)
Discussion
This study looked at the factors associated with community acquired urinary tract infections, the common uropathogens isolated and their drug sensitivity patterns. The study revealed that age 26 years and above, female sex and marital status of the participants were significantly associated with CA-UTIs. The commonest uropathogens isolated were Escherichia coli (50%), and Staphylococcus aureus (15.4%). There was high resistance to the common prescribed antibiotics for CA-UTIs in Uganda such as erythromycin, cotrimoxazole and nalidixic acid with most uropathogens showing greater than 50% resistance rates. From our study, 54(39.13%) urine samples were found to actually have UTIs, with 26(18.84%) patient urine samples having pure bacterial growth while the remaining 28(20.29%) urine samples had mixed bacterial growth. In the study by Mwaka et al the prevalence of significant bacteriuria among non pregnant women attending the same study setting was 10%8. The study by Andabati et al among antenatal mothers in Mulago Hospital, Uganda found a 13.3% prevalence of asymptomatic bacteriuria14. These finds are much comparable to the findings from our study. Another study from Ethiopia by Moges et al15, found a prevalence of UTI of 39.5%, which is about 2 times what we found. The study by Moges et al included in-patients which could account in part for the difference in prevalence of UTI.
The findings of age, female sex and marital status as factors significantly associated with CA-UTIs have been reported in other studies.7,16. There are no studies involving both men and women determining factors associated with community acquired UTIs have been cited in Uganda. Urinary tract infections due to E.Coli are a common finding in women and this is associated with the close proximity of the female urethral meatus and the anal orifice.
The most frequent isolated uropathogen from our study was Escherichia coli, accounting for 50% of all the isolates. This is much comparable to earlier studies in Africa and also Uganda where E.coli was isolated as the most frequent uropathogen. Mwaka et al isolated E.coli at 57.5% in his study though his study was only limited to nonpregnant women and no studies involving both men and women have been cited in our setting and other studies have shown similar findings of E.coli as the most frequent uropathogen in CA-UTIs15,17,18.
The second most frequent bacteria isolated were Staphylococcus aureus at isolation rates of 15.4%, earlier studies in Mulago hospital had also isolated S.aureus as a uropathogen8,17,19, though most of these studies were limited to women in the reproductive ages, men and elderly women were not part of these studies. This finding is however different from a recent study by Odongo etal in Gulu referral hospital that found Staphylococcal species as the most frequent uropathogens in their study at 46.3%20. The other uropathogens isolated included Klebsiella pneumonia, Providencia specie, Citrobacter specie, Actinomyces israelli.
Escherichia coli which was the commonest uropathogen isolated showed generally high sensitivity to Ampicillin, and Nitrofurantoin at 78.6%, 64.3% respectively and reduced sensitivity to ciprofloxacin at 57.1%. An earlier study in the same study setting by Mwaka et al involving non pregnant women had shown high sensitivity of E.Coli to Nitrofurantoin at 100% sensitivity rates, this shows a decline in the sensitivity rates to this antibiotic by E.coli in the same study setting and comparable sensitivity patterns had been shown by other studies in other settings in Africa15,17,19,21. Also a recent study in Gulu Regional Hospital in northern Uganda by Odongo et al has shown high resistance to Nitrofurantoin which is a rather worrying trend.
Staphylococcus aureus the second most common uropathogen isolated showed high sensitivity to ciprofloxacin, Nitrofurantoin and gentamycin at 100%, 66.7% and 66.7% respectively. The sensitivity of S.aureus to ciprofloxacin in our study was 100% which is higher than the other similar studies in the region8,20. We can attribute this to the few growths of S.aureus that were set for ciprofloxacin in our study. The study by Mwaka et al had also showed high sensitivities of S.aureus to the antibibiotics with Nitrofurantoin, ciprofloxacin and gentamycin showing sensitivities of 100%,68.4% and 68.4% respectively8 ,though this study was only in non pregnant women. The study by Odongo et al in Gulu regional hospital in Northern Uganda also showed high sensitivities to gentamycin at 85.4%20. Most organisms were more than 50% sensitive to nitrofurantoin and gentamycin.
Most organisms had low sensitivity to antibiotics such as cotrimoxazole, nalidixic acid and erythromycin. In the Uganda clinical guidelines, cotrimoxazole is one of the recommended first line antibiotics for empirical management of UTIs, but our study showed a high resistance of the common uropathogens to cotrimoxazole. The high resistance to cotrimoxazole may be explained by factors such as the use of cotrimoxazole as prophylaxis against opportunistic infections among HIV positive patients22 and the use of sulfadoxine-pyrimethamine which shares enzyme targets with cotrimoxazole as routine prophylaxis during pregnancy22.
Of all the urine samples collected, there were 26 pure cultural growths which was small given the fact that all the patients had reported symptoms suggestive of UTI. The small figures of pure cultural growths could be explained by factors such as the use of over the counter antibiotics by the patients either for the current UTI episodes or other illnesses before coming to hospital which affects the culture results.
Conclusion
There are known factors associated with CA-UTIs such as age, female sex and marital status. Escherichia coli and Staphylococcus aureus are major causes of CA-UTIs in the study area according to our findings. There was generally high sensitivity to nitrofurantoin and gentamycin by most of the uropathogens isolated. There were high resistance rates to cotrimoxazole and erythromycin drugs that are mainly used as first line in the empirical management of community acquired urinary tract infections according to the Uganda clinical guidelines.
Limitations
Many of the patients most likely have had some form of empirical antibiotic treatment prior to coming to Mulago since the hospital is a National Referral centre. As a result of this undocumented prior antibiotic treatment, the true catch rate of the organisms in the urine could have been obscured. However we tried to limit this by verbally ascertaining whether the patient had recently been treated for a UTI.
For many of the variables, we relied on self report of the patient. This is subject to several forms of bias including recall bias, social desirability bias among others. With the limited resources at our disposal we could not utilize anymore sensitive tests for several of the variables
Recommendations
Owing to the high resistance rates to the recommended first line antibiotics in the Uganda clinical guidelines, there is need for bigger studies that can be used to effect changes in the guidelines for the management of community acquired UTIs in order to suite the changing resistance patterns and also save the patients the complications that come with these infections when mismanaged.
Acknowledgements
We offer our thanks to all the participants who took part in this study. The project was supported by the MESAU-MEPI Programmatic Award through Award Number1R24TW008886 from the Fogarty International Center. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Fogarty International Center or the National Institutes of Health. We are grateful to Makerere University College of health sciences.
Abbreviations
- UTI
Urinary tract infections
- CA-UTI
Community acquired urinary tract infection
- HCWs
health care workers
- GCLP
Good Clinical Laboratory Practices(GCLP)
- MSU
Mid-Stream Urine
- CLED
Cystine Lactose Electrolyte Deficient
- NCCLS
National Committee for Clinical Laboratory Standards
- SBS-REC
Biomedical Sciences Research and Ethics Committee
- OR
Odds Ratio
- E.Coli
Escherichia Coli
- spp
species.
Competing interests
The authors declare no competing interests.
Authors' contributions
KD participated in writing the proposal for the study, data and sample collection, data analysis and writing the manuscript. DDA participated in writing the manuscript, data and sample collection. KAG, NR. NS and KMR participated in writing the manuscript and data and sample collection. BA and FCN guided us in writing of the proposal and writing the manuscript. KS participated in data analysis and also guided in the writing of the manuscript.
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