Abstract
Diarrhoea is a hallmark of HIV infections in developing countries, and many diarrhoea-causing agents are often transmitted through water. The objective of the study was to determine the diversity and antibiotic susceptibility profiles of bacterial organisms isolated from samples of household drinking-water consumed by HIV-infected and AIDS patients. In the present study, household water stored for use by HIV-positive patients was tested for microbial quality, and isolated bacterial organisms were analyzed for their susceptibility profiles against 25 different antibiotics. The microbial quality of water was generally poor, and about 58% of water samples (n=270) were contaminated with faecal coliforms, with counts varying from 2 colony-forming unit (CFU)/100 mL to 2.4×104 CFU/100 mL. Values of total coliform counts ranged from 17 CFU/100 mL to 7.9×105/100 mL. In total, 37 different bacterial species were isolated, and the major isolates included Acinetobacter lwoffii (7.5%), Enterobacter cloacae (7.5%), Shigella spp. (14.2%), Yersinia enterocolitica (6.7%), and Pseudomonas spp. (16.3%). No Vibrio cholerae could be isolated; however, V. fluvialis was isolated from three water samples. The isolated organisms were highly resistant to cefazolin (83.5%), cefoxitin (69.2%), ampicillin (66.4%), and cefuroxime (66.2%). Intermediate resistance was observed against gentamicin (10.6%), cefepime (13.4%), ceftriaxone (27.6%), and cefotaxime (29.9%). Levofloxacin (0.7%), ceftazidime (2.2%), meropenem (3%), and ciprofloxacin (3.7%) were the most active antibiotics against all the microorganisms, with all recording less than 5% resistance. Multiple drug resistance was very common, and 78% of the organisms were resistant to three or more antibiotics. Education on treatment of household water is advised for HIV-positive patients, and measures should be taken to improve point-of-use water treatment as immunosuppressed individuals would be more susceptible to opportunistic infections.
Key words: Antibiotic resistance, Bacteria, Diarrhoea, Drinking-water, HIV, Opportunistic infections, Water quality, South Africa
INTRODUCTION
Acquired immunodeficiency syndrome (AIDS), first described in 1981, has become the most devastating global epidemic the world has ever faced. At the end of 2008, an estimated 60 million people, globally, were infected with HIV. More than five million people were newly infected each year, and more than 6,000 died every day due to AIDS (1). HIV, the causative agent of AIDS, infects humans and destroys their immune systems, making them more susceptible to opportunistic organisms, the majority of which are found in the environment in which we live. Water is a basic need for all living organisms, including humans. However, water is also a vector for different organisms, including viruses, bacteria, fungi, and parasites (2). Many organisms transmitted by water cause diarrhoea, which is a very common symptom among HIV-infected individuals. Approximately 90% of individuals infected with HIV have suffered from chronic diarrhoea, thereby making it a common cause of morbidity and mortality among HIV-infected and AIDS patients (3). The link between HIV and water and sanitation is, thus, unavoidable, and the understanding of the intricacies between HIV and AIDS and water is still to be clarified. The vulnerability of HIV-positive individuals to organisms transmitted through water has been demonstrated all over the world (4,5). Results of studies in Uganda indicated higher degrees of contamination in household drinking-water consumed by HIV-infected and AIDS patients and demonstrated that the implementation of the safe water system among persons with HIV was significantly associated with a 25% reduction in diarrhoea episodes and 33% fewer days with diarrhoea (6).
Predominantly rural and poverty-stricken communities around the Venda areas of the Limpopo province of South Africa still do not have access to safe, clean drinking-water on a daily basis. Results of studies conducted in this region showed that residents often collect water from contaminated river sources (7,8). Water from these river sources is used for various purposes, including drinking, bathing, and washing and are also often used for domestic animals (9). Municipal taps provided in the regions often go for days and, in some cases, for weeks without water. Only a few residents have boreholes in their households leaving others to rely on alternative sources, such as the river. Collected water is often stored in big containers for weeks before use, and the condition in which the water is stored often predisposes it to contamination (10). Contaminated water, poor sanitation, and poor personal hygiene are the main causes of enteric diseases. Enteric diseases affect everyone; however, the diseases are more severe in HIV-positive individuals because of their weakened immune system (2).
Results of studies around the world showed that diarrhoeal diseases can be decreased by treating drinking-water before use, and such treatment methods include boiling the water or adding a quantified amount of bleach to the water before use (11,12). However, poor rural people do not have access to such vital information while others choose to ignore it as they have been using the water for some time. When afflicted by diseases, residents seek treatment, and antibiotics are prescribed but the variable nature of infecting organisms and their antibiotic resistance do limit the choice of antibiotics, thereby making such antibiogram studies a necessity (13). Regular updates on isolates obtained from household drinking-water and their antibiotic susceptibility may assist the health officials in combating diarrhoea among HIV-positive and AIDS patients.
Despite the high prevalence of HIV infections in South Africa and the high prevalence of diarrhoeal diseases, there is a paucity of updated information on the diversity of potential bacterial pathogens that could cause diarrhoea among HIV-infected people. In the present study, samples of water, stored for consumption in the households with HIV-infected and AIDS patients in rural areas of the Limpopo province, were analyzed to determine their microbiological quality and bacteriological and antibiotic susceptibility profiles of isolated organisms. Such information may be vital in the control and management of waterborne infections in the era of HIV/AIDS.
MATERIALS AND METHODS
Study population and sample collection
HIV-infected and AIDS patients living in the Makhado Municipality of the Limpopo province were invited to participate in the study. The objectives of the study were clearly explained to the potential participants. Their rights to withdraw from the study were also explained to them. Each participant who agreed to participate in the study was required to sign a consent form. Both females and males participated in the study. Once the individuals agreed to participate in the study, samples of water were collected from the storage containers in their homes in sterile 500-mL bottles and transported to the laboratory within two hours after collection.
HIV testing
The HIV status of the individuals was tested according to the testing strategy II of the Joint United Nations Programme on HIV and AIDS/World Health Organization (14), and a non-linked anonymous approach was used. However, pre- and post-test counselling was provided to volunteers who wanted to know their results, and their samples were appropriately coded to enable the tracing of patients. All the study subjects were screened for antibodies to HIV with the OraQuick HIV1/2 kit (OraSure Technologies, USA), using oral fluids. Screening for HIV seroprevalence was performed as recommended by the manufacturers of the kit. These screening tests have accepted sensitivities and specificities for HIV antibody screening surveys (15).
Determination of general quality of household water
The samples collected were transported on ice to the Microbiology Laboratory of the University of Venda for microbiological assays. Microbiological parameters, such as heterotrophic plate counts, total coliform counts, and faecal coliform counts, were determined using standard microbiological methods (14). The membrane filtration method was used for all counts. Plate count agar, m-Endo agar, and m-FC agar were used for heterotrophic counts, total coliform counts (TCs), and faecal coliform counts (FCs) respectively. Each test was done in triplicate, and the geometric means were recorded.
The organisms used as control were Escherichia coli (ATCC 8739), Proteus vulgaris (ATCC 6830), Pesudomonas aeruginosa (ATCC 7700), Serratia marsecens (ATCC 9986), and Streptococcus epidermidis (ATCC 29212).
Isolation of bacterial organisms
The membrane filtration method as described under total microbial quality was employed. However, the filters were placed aseptically on thiosulphate-citrate-bile salts-sucrose (TCBS) agar, Campylobacter blood-free agar, Salmonella-Shigella agar and m-Endo agar to isolate Vibrio, Campylobacter, Salmonella/Shigella, and E. coli respectively. Incubation for Campylobacter was in microphillic condition at 44.5 ºC while the other organisms were grown under aerobic condition at 37 ºC for 24-48 hours (16). Subculturing was performed to obtain pure colonies by streaking into fresh plates. Pure colonies were incubated at 37 ºC for 24 hours. After 24 hours of incubation, nutrient broth was prepared in MacCartney bottles. Pure colonies were stored in slant in MacCartney bottles and stored in the fridge for preservation. Presumptive identification of colonies was also done based on growth characteristics. Different biochemical tests, including Gram-staining, oxidase, catalase, gas production, and sugar fermentation, were conducted for preliminary identification.
Identification of bacteria and determination of antibiogram
Subculturing was performed to obtain pure colonies from MacCartney bottles on fresh plates. The identity of cultures and their sensitivities were determined using the MicroScan autoscan analyzer (Dade Behring, Inc., West Sacramento, CA) following instructions of the manufacturer (17). The antibiotic susceptibility profiles of the organisms were determined using the broth micro-dilution method using the combo panels from MicroScan, and the results were analyzed as described by the Clinical and Laboratory Standards Institute (18). The antibiotics used included: amikacin, amoxicillin/clavulate, ampicillin, aztreonam, cefazolin, cefepime, cefotaxime, cefotaxime/k clav, cefoxitin, ceftazidime, ceftazidime/k clav, ceftriaxone, cefuroxime, ciprofloxacin, ertapenem, gentamicin, imipenem, levofloxacin, meropenem, piperacillin, piperacillin/tazobactam, tetracycline, ticarcillin/clavulanic acid, tobramycin, trimethoprim/sulpha-methoxazole, and ampicillin/sulbactam.
Statistical analysis
All the data were entered into an Excel sheet and uploaded onto the SPSS software (version 17.2). Statistical analysis was conducted using the chi-square test on the SPSS software (version 17.2).
Ethical clearance
The Ethical Committee of the University of Venda approved the study protocol. Authorization to collect samples was obtained from the Department of Health of the Limpopo province. Due to the stigmatization of the disease, the study team chose to work closely with support groups, non-governmental organizations (NGOs), and HIV care-givers because they provide a ‘comfort zone’ for HIV-infected/AIDS patients, who, in turn, confide in the care-givers. Before the commencement of the study, members of the research team made preliminary visits to each of the chosen study areas. During these visits, the background, protocols, objectives, and potential significance of the study, including issues around confidentiality and consent were discussed with care-givers, support groups, and NGOs, and their support was sought for the collection of specimens. The support groups, care-givers, and NGOs worked directly with HIV-infected/AIDS patients, which provided the platform to reach out to the participants.
RESULTS
Demographic characteristics of study population
In total, 270 HIV-positive patients were recruited to participate in the study. Two hundred seventy water samples were collected from different households with HIV-positive and AIDS patients. Of those patients whose demographic data were known, 63 (23.3%) were male, and 90 (33.3%) were female. The age of the individuals varied from 1 to 81 years, with 32% of the individuals aged 20-39 years. Table 1 shows the demographic information of the study population.
Table. 1.
Demographic information of study population
| Parameter | Characteristics | No. | % |
|---|---|---|---|
| Gender | Male | 63 | 23.3 |
| Female | 90 | 33.3 | |
| Unknown | 117 | 43.3 | |
| Age-group (years) | 0-9 | 4 | 1.5 |
| >9-19 | 18 | 6.7 | |
| >19-29 | 40 | 14.8 | |
| >29-39 | 39 | 14.4 | |
| >39-49 | 19 | 7.0 | |
| >49-59 | 9 | 3.3 | |
| >59-81 | 14 | 5.2 | |
| Unknown | 143 | 53.0 |
General microbial quality of household drinking-water
The microbial quality of the collected water samples was determined using heterotrophic plate count (HPC), FC, and TC. The results for HPC ranged from 42 colony-forming unit (CFU)/100 mL to 8.4×108 CFU/100 mL. The results for TC ranged from 17 CFU/100 mL to 7.9×105 CFU/100 mL while the results for FC ranged from 2 CFU/100 mL to 2.4×104 CFU/100 mL. Table 2 shows the results of the microbial quality of the collected water samples.
Table. 2.
Microbiological characteristics of drinking-water samples collected from households with HIV-infected/AIDS patients in rural areas of Vhembe district
| Indicator | Minimum | Maximum | Mean | Median |
|---|---|---|---|---|
| Heterotrophic plate counts | 42 | 8.4×108 | 1.1×107 | 2.2×103 |
| Total coliforms | 17 | 7.9×105 | 2.7×105 | 6.1×102 |
| Faecal coliforms | 2 | 2.4×104 | 2.1×103 | 74 |
Profile of bacterial organisms isolated
From the 270 water samples collected, 134 organisms were isolated comprising 37 different bacterial species. The most common isolates included: Pseudomonas spp. (16.3%), Shigella spp. (14.2%), Acinetobacter lwoffii (7.5%), Enterobacter cloacae (7.5%), Yersinia enterocolitica (6.7%), and E. coli (6.0%). Table 3 shows the frequency of different organisms isolated.
Table. 3.
Frequencies of bacterial species isolated from household water samples
| Organism | Frequency (%) | Organism | Frequency (%) |
|---|---|---|---|
| Achromobacter xylosoxidans | 2 (1.5) | Proteus mirabilis | 2 (1.5) |
| Acinetobacter lwoffii | 10 (7.5) | Providencia rettgeri | 1 (0.7) |
| Aeromonas hydrophila | 1 (0.7) | Providencia stuartii | 1 (0.7) |
| Alcaligenes species | 3 (2.2) | Pseudomonas aeruginosa | 8 (6.0) |
| Burkholderia cepacia | 2 (1.5) | Pseudomonas fluorescens | 9 (6.7) |
| Cedecea neteri | 1 (0.7) | Pseudomonas luteola | 1 (0.7) |
| Chromobacterium violaceum | 5 (3.7) | Pseudomonas species | 1 (0.7) |
| Citrobacter freundii | 1 (0.7) | Pseudomonas stutzeri | 3 (2.2) |
| Delftia acidovorans | 2 (1.5) | Ralstonia paucula | 1 (0.7) |
| Enterobacter agglomerans | 1 (0.7) | Ralstonia pickettii | 1 (0.7) |
| Enterobacter amnigenus | 5 (3.7) | Raoultella ornithinolytica | 6 (4.5) |
| Enterobacter cloacae | 10 (7.5) | Serratia liquefaciens | 3 (2.2) |
| Enterobacter sakazakii | 2 (1.5) | Shewanella putrefaciens | 1 (0.7) |
| Escherichia coli | 8 (6.0) | Shigella species | 19 (14.2) |
| Klebsiella oxytoca | 4 (3.0) | Stenotrophomonas maltophilia | 2 (1.5) |
| Klebsiella rhinoscleromatis | 1 (0.7) | Tatumella ptyseos | 2 (1.5) |
| Klebsiella species | 1 (0.7) | Vibrio fluvialis | 3 (2.2) |
| Leminorella species | 1 (0.7) | Yersinia enterocolitica | 9 (6.7) |
| Actinobacillus species | 1 (0.7) | Total | 134 (100) |
Antibiotic susceptibility profiles of isolated organisms
Twenty-five different antibiotics were used for determining the antibiotic susceptibility profiles of the organisms isolated. The results obtained were analyzed according to the CLSI standards, and the strains were further classified as resistant, indeterminate, or sensitive. There was a high level of resistance of the organisms to cefazolin (83.5%), cefoxitin (69.2%), ampicillin (66.4%), and cefuroxime (66.2%). Intermediate resistance was observed against gentamicin (10.6%), cefepime (13.4%), ceftriaxone (27.6%), and cefotaxime (29.9%). Levo-floxacin (0.7%), ceftazidime (2.2%), meropenem (3%), and ciprofloxacin (3.7%) were the most active antibiotics against all the microorganisms, with all recording less than 5% resistance. The results are summarized in Table 4.
Table. 4.
Overall activities of different antibiotics used against isolates
| Antibiotic | Resistance No. (%) | Sensitive No. (%) | Indeterminate No. (%) | MIC range |
|---|---|---|---|---|
| Amikacin | 17 (12.7) | 117 (87.3) | 0 | 4->32 |
| Amox/k clav | 76 (56.7) | 43 (32.1) | 15 (11.2) | ≤8/4->16/8 |
| Ampicillin | 89 (66.4) | 33 (24.6) | 12 (9) | ≤8->16 |
| Aztreonam | 53 (39.6) | 65 (48.5) | 16 (11.9) | ≤4->16 |
| Cefazolin | 111 (83.5) | 17 (12.8) | 5 (3.8) | ≤8->16 |
| Cefepime | 18 (13.4) | 112 (83.6) | 4 (3) | ≤2->16 |
| Cefotaxime | 40 (29.9) | 67 (50) | 27 (20.1) | ≤2->32 |
| Cefotaxime/k clav | 66 (49.3) | 53 (39.5) | 15 (11.2) | ≤0.5->4 |
| Cefoxitin | 92 (69.2) | 37 (27.8) | 4 (3) | ≤8->16 |
| Ceftazidime | 3 (2.2) | 126 (94) | 5 (3.7) | ≤1->16 |
| Ceftazidime/k clav | 47 (35.1) | 54 (40.3) | 33 (24.6) | ≤0.25->2 |
| Ceftriaxone | 37 (27.6) | 70 (52.2) | 27 (20.1) | ≤4->32 |
| Cefuroxime | 88 (66.2) | 40 (30.1) | 5 (3.8) | ≤4->16 |
| Ciprofloxacin | 5 (3.7) | 125 (93.3) | 4 (3) | ≤0.5->2 |
| Ertapenem | 32 (24.2) | 82 (62.1) | 18 (13.6) | ≤2->4 |
| Gentamicin | 14 (10.6) | 108 (81.8) | 10 (7.6) | ≤1->8 |
| Imipenem | 7 (5.2) | 121 (90.3) | 6 (4.5) | ≤1->8 |
| Levofloxacin | 1 (0.7) | 129 (96.3) | 4 (3.6) | ≤2->4 |
| Meropenem | 4 (3) | 123 (93.2) | 5 (3.8) | ≤1->8 |
| Piperacillin | 18 (13.7) | 109 (83.2) | 4 (3.1) | ≤16->64 |
| Pip/tazo | 10 (8.2) | 110 (90.2) | 2 (1.6) | ≤16->64 |
| Tetracycline | 26 (20.6) | 92 (73) | 8 (6.3) | ≤4->8 |
| Ticar/k clav | 45 (33.6) | 81 (60.4) | 8 (6) | ≤16->64 |
| Tobramycin | 10 (7.5) | 118 (88.7) | 5 (3.8) | ≤1->8 |
| Trimeth/sulpha | 53 (39.6) | 81 (60.4) | 0 | ≤2/38->2/38 |
| Amp/sulbactam | 0 | 2 (66.7) | 1 (33.3) | ≤8/4->16/8 |
Amox=Amoxicillin;
Amp=Ampicillin;
Clav=Clavulate;
MIC=Minimum inhibitory contentration;
Pip=Piperacillin;
Sulpha=Sulphamethoxasole;
Tazo: Tazobactam;
Ticar=Ticarcillin;
Trimeth=Trime-thoprim
Multiple drug resistance profiles of isolated organisms
Multiple drug resistance profiles defined as resistance to three or more antibiotics in this study were also observed. Of the 134 organisms isolated, 108 (80.6%) were multiple drug-resistant. The resistance ranged from three to 20 antibiotics at a time, with higher resistance to 13 (10.4%), followed by 9, 4, and 3 (8.2%) antibiotics at a time. None of the isolates was resistant to all the 25 antibiotics used while 18 (13.4%) were susceptible to all the antibiotics used. Ralstonia paucula had the highest rate of multiple drug resistance and was resistant to 20 antibiotics at a time, followed by Chromobacterium violaceum which was resistant to 18 antibiotics. Table 5 shows the distribution of multiple drug resistance, including the names of organisms resistant to the designated number of antibiotics.
Table. 5.
Multiple drug resistance among organisms isolated from water samples
| No. of antibiotics | No. of organisms | Organism |
|---|---|---|
| 3 | 11 | Klebsiella spp.; E. sakazakii2; A. lwoffii2; Alcaligenes spp.; R. ornithinolytica; V. fluvialis; E. coli; K. oxytocoa2 |
| 4 | 11 | E. cloacae; Y. Enterolitica; E. amnigenus3; A. lwoffii; R. ornithinolytica3; C. freundii; K. oxytoca |
| 5 | 6 | R. pickettii; E. cloacae2; P. stutzeri; Y. enterocolitica; R. ornithinolytica |
| 6 | 9 | Pseudomanas spp.2; Shigella spp.; Y. enterocolitica; B. cepacia; E. cloacae2; S. liquefaciens2 |
| 7 | 8 | Pseudomonas spp.2; Shigella spp.; E. amnigenus; Alcaligenes spp.; Y. enterocolitica; E. cloacae; S. liquefaciens |
| 8 | 5 | D. acidovorans; A. lwoffii; Shigella spp.; E. cloacae2 |
| 9 | 11 | V. fluvialis; P. fluorescens; Shigella spp.5; Alcaligenes spp.; A. xylosoxidans; P. fluorescens2 |
| 10 | 8 | P. aeruginosa4; Shigella spp.2; P. fluorescens; A. hydrophila |
| 11 | 9 | P. aeruginosa2; Y. enterocolitica; Shigella spp.3; P. luteola; P. fluorescens; A. lwoffii |
| 12 | 8 | T. ptyseos; P. aeruginosa; Shigella spp.3; K. rhinoscleromatis; Y. enterocolitica; P. fluorescens |
| 13 | 14 | P. stuartii; Shigella spp.2; Leminorella spp.; A. xylosoxidans; C. violaceum3; A. lwoffii; V. fluvialis; P. aeruginosa; P. fluorecens2; B. cepacia |
| 14 | 4 | S. maltophillia; Y. enterocolitica; Shigella spp.; C. neteri |
| 15 | 1 | S. maltophillia |
| 16 | 1 | C. violaceum |
| 18 | 1 | C. violaceum |
| 20 | 1 | R. paucula |
Superscripts indicate the number of times the organism occurs in the same group
DISCUSSION
Water is one of the most important basic needs for living beings. It is often regarded as the source of life. However, the very same water may be a source of infections, particularly among immunocompromised patients, such as those infected with HIV and AIDS (12). Contaminated water and poor personal hygiene are the most important modes of transmission of enteric organisms. People residing in poor rural areas often collect water from surrounding rivers. The present study has demonstrated a high prevalence and diversity of enteric bacterial organisms in household water consumed by HIV-positive patients in the Limpopo province of South Africa.
Results of studies in the Vhembe region of South Africa showed that water sources used by the people were contaminated with potential enteric bacterial and viral pathogens (19). However, some of these residents do not have alternative water sources; hence, they continue using the water regardless of the risks involved. Furthermore, the level of hygiene in these populations is generally low (20). Water is regarded as clean and safe for consumption when it complies with the South Africa guidelines for drinking-water. These guidelines are used around the world, and when drinking-water does not comply with such guidelines, it is regarded as not suitable for human use. In this study, the HPCs, TCS, and FCs were used for analyzing the microbial quality of water. The results obtained indicate that the microbial quality of water was poor and not suitable for human consumption. These findings were similar to those previously obtained where water collected from various river sources around the Venda region was analyzed (7). The difference in the years in which the studies were conducted indicates that nothing has been done about the water sources used by the population. Measures to help the communities could include education and educational campaigns on household treatment of water. Results of studies indicate the importance of providing good-quality drinking-water to HIV-infected and AIDS patients (5,21). The poor quality of water may cause a wide range of diseases, including cholera, typhoid fever, hepatitis, dysentery, giardiasis, and other gastrointestinal infections in rural communities. The scope of bacterial organisms isolated in this study was broad, with Pseudomonas spp., Shigella spp., A. lwoffii, E. cloacae, Y. enterocolitica, and E. coli accounting for most isolates. Shigella organisms were the most commonly-isolated organisms in water samples in the present study. Recent studies have shown that these organisms were responsible for outbreaks of diarrhoea in an urban area in India (22). In a study in Nigeria, the most commonly-isolated organisms from water sources included E. coli (22.7%), Enterobacter aerogenes (2.5%), Salmonella spp. (13.3%), Shigella spp. (19.3%), Proteus spp. (18.5%), Klebsiella spp. (19.3%), and P. aeruginosa (4.2%) (23). Shigella has been identified as one of the most common pathogens responsible for the outbreaks of diarrhoea in Italy (24). Obi et al. reported the presence of E. coli, V. cholerae, A. hydrophila, Shigella, Plesiomonas, and Campylobacter spp. as the most common isolates in their study (9). The results obtained in this study, compared to those obtained elsewhere, indicate that the diversity of bacterial organisms isolated from drinking-water varies widely. Such diversity may have been brought on by the differences in the collected water samples and the laboratory techniques used for identifying the bacterial organisms.
In the present study, organisms such as Acinetobacter were commonly isolated. The Acinetobacter genus consists of more than 30 species, of which A. baumannii and, to a lesser extent, genomic species 3 and 13 are mostly associated with the clinical environment and nosocomial infections (25). These organisms have not been reported from previous studies in the area and could be responsible for potentially fatal infections. In a recent study by Toyoshima and colleagues, A. lwoffii was found responsible for a fatal respiratory illness in a 68-year old female (26). Other studies have also reported on the emergence of Acinetobacter species other than A. baumannii which were often associated with bacteraemia (27). The detection of these organisms in water samples from HIV-infected patients in the Limpopo province indicates the possibility of involvement of these organisms in the pathogenicity of opportunistic infections among patients. In fact, A. lwoffii is known to be involved in several diseases, such as sepsis, bacteraemia, pyrexia, meningitis, post-haemorrhagic hydrocephalus, rigours, pneumonia, cellulitis, rash, ophthalmia neonatum, urinary tract infection (UTI), and abscess (28). Further studies are needed to identify the potential of this organism as an opportunistic pathogen among HIV-infected patients in the region. Results of a study in Italy indicate that Acinetobacter spp. were responsible for several diseases in HIV-infected and AIDS patients, including sepsis, UTIs, respiratory tract diseases, and bacteraemic pneumonia (29). In that study, the organisms responsible included A. calcoaceticus, A. lwoffii, and other Acinetobacter spp.
Antibiotic resistance constitutes an important setback in the control of bacterial infections. We found high resistance of the bacterial isolates to antibiotics, such as cefazolin, cefoxitin, and ampicillin. Results of recent studies in Pakistan indicate that about 57.5% of isolates from drinking-water were resistant to ampicillin while 42.2% were resistant to kanamycin (30). Resistance to ciprofloxacin was low in the present study (3.7%); however, this constituted an increase from 0% described in 2002 by Obi and Bessong but it was lower compared to 10% observed by Obi et al. (9,13). This resistance level is lower compared to studies conducted in Michigan, USA, where the level of resistance of coliforms to ciprofloxacin was 9.9% in drinking-water from tap-water samples in the city (31). However, we found a resistance level of 20.6% while, in Michigan, the resistance level to the same antibiotic was 3.8%. The level of resistance to gentamicin was 10.6% in the present study while Obi et al. found the resistance levels varying from 0% to 8% depending on the origin of the organisms tested.
The antibiotic susceptibility of the isolated organisms was also determined as such information is vital in the treatment and management of diarrhoeal diseases. It is also important as organisms have been shown to develop resistance against commonly-used antibiotics (32). Multiple drug resistance defined as resistance to three or more antibiotics was common, with 80.6% of the organisms exhibiting multiple drug resistance. These findings are similar to those obtained by Obi et al. who showed that bacterial isolates demonstrated multiple drug resistance to antibiotics (7,9). In the present study, we found a very low susceptibility to ceftriaxone. This antibiotic has been reported to be very potent. In a study in India, there was no evidence of resistance against this antibiotic, particularly among Shigella isolates from stool samples (33). Only 10% of the Shigella organisms in the present study were susceptible to this antibiotic. This is a cause for concern as ceftriaxone is one of the most recent antibiotics and is supposed to be used as the last resort. Such high resistance could be due to the overuse of this antibiotic in the hospital environment, leading to adaptive resistance. In a recent study of the isolates from stool samples in the Limpopo province, the resistance level varied from 8% to 15% depending on the organisms tested, with lower resistance among Shigella spp. (8%) (34). In a study in Iran, lower resistance rates were found among Shigella organisms (35).
Profiles of resistance to about 20 antibiotics at a time were noted. In a study in Nigeria, Oluyege et al. found that over 10% of bacteria were resistant to four or more antibiotics, and antibiotic resistance was the highest in members of the genera Enterobacter, Pseudomonas, and Proteus (22). Similar results have also been reported in Pakistan and India (36,37).
The findings of the present study suggest that the water samples stored for consumption were contaminated with potential bacterial pathogens, and this poses a serious public-health threat as children and HIV-positive patients used such stored water daily. Education and educational campaigns on water storage, personal and environmental hygiene, and household treatment of water in rural communities are needed in this era of HIV/AIDS for improved healthcare delivery.
ACKNOWLEDGEMENTS
The authors are grateful to the National Research Foundation, Water Research Commission, the University of Venda, and the Walter Sisulu University for financial support or provision of facilities.
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