1
1
2020
1682060028488_1448
1-10
https://pjbb.wum.edu.pk/index.php/ojs/article/view/14/8
https://pjbb.wum.edu.pk/index.php/ojs/article/view/14
INTRODUCTION
Drug resistance in bacteria is becoming a serious problem now days in the whole world. Antibiotic resistance occurs commonly in patients when treated with inordinate or high dosage antimicrobial drugs (1). Bacteria are posing a huge threat to human life by becoming resistant to antibiotics. Cheaper and effective way to control these bacteria is through antibiotics, but resistance to these drugs is extremely threatening in case of antibacterial chemotherapy. The problematic aspect of antibiotics is, once bacteria are exposed to the drug, they try to withstand the antibiotics inhibitory pressure, many of them die but some of them mutate and survive (2). In addition, multidrug-resistant bacteria cannot be treated with available effective drugs (3). In humans, most common type of bacterial infections are the pus, urine infection, UTIs and wounds that occur in both community and hospital settings that have been seen globally (4, 5).
The pathogenic cycle involves complex interaction between an organism, the environment and the potential host. The symptoms of bacterial infection in a person depends on the age of the patient and the location, where it causes the disease (6). The change and development of bacterial strain resistance to antibiotic has demanded to change in therapy of antibiotics. One of the main problems, is to fight against antibiotic resistance that involve the use to correct antibiotics (7).
Different combinations of antibiotics are used to overcome the infection caused by resistant bacteria. The main aim of the drug is to inhibit the cell wall, cell membrane, protein and synthesized nucleic acid. The change and development of bacterial strain resistance to antibiotic has demanded to change in therapy of antibiotics. One of the main problems is to fight against antibiotic resistance that involve the use of correct antibiotics (8). The vagina and bladder have natural defense mechanism against migrating E. coli. Diabetic women are significantly more immune to develop vaginitis (both bacterial and fungal) than non-diabetic patient (9). Main objectives of current study are to isolate and characterize the pathogens from different clinical samples collected from Nishtar Hospital, Multan and to determine their susceptibility pattern to different antimicrobial drugs.
MATERIALS AND METHODS
The samples received from different departments of Nishtar Hospital, Multan during the period of four months (September 2016 to December 2016) were included in current study. These samples were mainly urine, high vaginal swabs (HVS), pus and wound swab. The source population comprises male and female gender effected with different infections. Samples were cultured on different media for cultivation and isolation of possible causative pathogens. Urine was cultured on CLED (Cystine Lactose Electrolyte Deficient) agar media, while Pus, HVS and wound swab samples were cultured on blood and MacConkey agar plates under sterile conditions. At aerobic conditions plates were incubated at 37°C for 24 hours. After 24 hours, isolated colonies were examined and microorganisms were identified based on their colony morphology, Gram staining and appropriate biochemical testing including Triple Sugar Iron (TSI) test and Simmons Citrate Agar (SCA) test (10). The results were interpreted according to the guidelines of the Clinical and Laboratory Standards Institute (11).
Area, period and study design
The study was conducted in Multan at Nishtar Medical College and Hospital. Multan is known to be one of the oldest cities of Pakistan. It is also one of the hottest localities of Pakistan, known to be the city of saints. Nishtar Medical College is among the most prestigious educational institutes in Southern Punjab. It is the 3rd oldest medical institution of Pakistan, founded in 1951. Nishtar Medical College is affiliated with Nishtar Hospital, having 1800 beds capacity. There are 29 wards plus an Out Patients Department. There are 15 Operation theaters. The study was conducted between September and December 2016, at Pathology Department of Nishtar Medical College and Hospital.
For determination of antibiotic susceptibility of the bacterial isolates, disc diffusion method was used. Antibiotics discs used for different bacterial species were Augmentin, Amikacin, Cefotaxime, Gentamycin, Ceftazidime and Ceftezole in concentration of 30µg while Ciprofloxacin, Norfloxacin and Clarithromycin as 5 µg. Other antibiotics were Erythromycin (101 µg), Imipenem (10 µg), Linezolid (10 µg), levofloxacin (10 µg), Meropenem (10 µg), Moxifloxacin (5 µg), Sulzone/Sulbactam/Cefoperazone and (105 µg), Piperacillin + Tazobactam (110 µg), Vancomycin (110 µg), Plates were incubated for 24 hour at 37°C. After 24 hour of incubation, zones of inhibition were checked and the organisms were classified as sensitive or resistant based on standard criteria. Control strains were used for checking the quality of discs and reagents. The results were expressed in percentages.
RESULTS
The study was carried out in Department of Pathology, Nishtar Hospital, Multan and total of 387 clinical samples collected. Urine, pus, high vaginal swab (HVS) and wound samples were examined for the presence of Gram-positive and Gram-negative pathogens.
Bacterial Profile
In total 387 different clinically tested samples, 204 (52.7%) organisms were isolated. These include 123 (60.29 %) grams negative and 54 (26.47 %) gram-positive organisms, while 23 (11.2%) isolates were identified as contamination along with these pathogens. E. coli with 120(58.8%) isolates was the most prevalent gram-negative pathogen followed by 3(1.4 %) Pseudomonasspecies. Whereas gram positive isolates included 16 (7.90%) Staphylococcus aureus, 8(3.9%) Methylene Resistance Staphylococcus aureus, 30(14.7%) Candida, 23(11.2%) contamination along the pathogens and 4(1.9%) other bacterial species include Streptococcus species, Enterobacter species, Morganella species, Klebsiella species (Table 1).
Susceptibility Pattern of Gram Negative Bacteria
The susceptibility pattern of gram negative bacteria isolated from urine, pus, wound and high vaginal swabs and tested against 19 selected antibiotics (Table 2). E. colispecies showed highest resistance to Linezolid (98.33%) and Ceftriaxone (90.8%), whereas highest sensitivity to Gentamicin (75%) and intermediate sensitivity to Meropenem (36.6%) and Amikacin (36.6%). Pseudomonas species showed highest resistance (100%) to Amikacin, Cefotaxime, Ceftezole, Moxifloxacin and Tazobactam + piperacillin and highest sensitivity (100%) to Imipenem, Levofloxacin, Meropenem and Sulfamethoxazole + Trimethoprim and intermediate sensitivity to Sulzone (33.3%) (Table 2). Enterobacter species showed highest resistance (100%) to Augmentin, Ciprofloxacin, Gentamicin, Imipenem, Levofloxacin, Meropenem, Moxifloxacin, Tazobactam + piperacillin, Sulzone. Highest sensitivity (100%) to Amikacin, Linezolid, Sulfamethoxazole + Trimethoprim and intermediate sensitivity (100%) were shown to Cefotaxime and Ceftriaxone.
Klebsiella species showed highest resistance (100%) to Amikacin, Imipenem, Linezolid, Meropenem, Tazobactam + Piperacillin, Sulzone, Sulfamethoxazole + Trimethoprim, while highest sensitivity (100%) to Augmentin, Cefotaxime, Ceftezole, Ciprofloxacin, Gentamycin, Levofloxacin and intermediate sensitivity to Moxifloxacin (100%). Morganella species showed highest resistance (100%) to Augmentin, Amikacin, Cefotaxime, Ciprofloxacin, Gentamycin, linezolid, Moxifloxacin, Tazobactam + Piperacillin, Sulzone, while highest sensitivity (100%) to Ceftezole, Imipenem, Levofloxacin, Meropenem, Sulfamethoxazole + Trimethoprim (Table 2).
Table 1: Clinical samples screened and number of isolates obtained
Specimen type | E. coli | Staphylococcus aureus | MRSA | Candida | Pseudomonas | Mixed growth along with pathogens | Others* | |
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58.80% | 7.90% | 3.9% | 14.7% | 1.4% | 11.2% | 1.9% | ||
Urine | 74 | - | - | 18 | - | 14 | 2 | |
HVS | 17 | 3 | - | - | - | 5 | - | |
Pus | 23 | 13 | 8 | 12 | 2 | 3 | 2 | |
Wound | 6 | - | - | - | 1 | 1 | - | |
*Others Streptococcous species, entrobacter species, Morganella species, klebsille species | ||||||||
Total isolates = 204 |
Table 2: Antibiotic Susceptibility pattern of Gram negative bacteria isolated from patien.
Key words: RXN; Reaction R; Resistance, S; Sensitive, IS; Intermediate Sensitive, AMC; Augmentin, AK; Amikacin, CTX; Cefotaxime, CO; Ceftezozle, CIP; Ciprofloxacin, GN; Gentamycin, IMI; Imipenem, LNZ; Linezolid, LEV; Levofloxacin, MEM; Meropenem, MXF; Moxifloxacin, TZP; Tazobactam +Piperacillin, SUL; Sulzone, SXT; Sulfamethoxazole + Trimethoprim.
Type and No. of Isolates | RXN | Antimicrobial Activities (%) | |||||||||||||
AMC | AK | CTX | CO | CCP | GN | IMI | LNZ | LEV | MEM | MXF | TZP | SUL | SXT | ||
E. coli
(n= 120) |
R | 53.3 | 27.5 | 43.3 | 90.8 | 58.3 | 10 | 19.1 | 98.33 | 70 | - | 82.5 | 38.3 | 34.1 | 85 |
S | 45.8 | 35.8 | 23.3 | 6.66 | 29.1 | 75 | 67.5 | 1.66 | - | 63.3 | 8.33 | 43.3 | 50.8 | - | |
IS | 0.83 | 36.6 | 33.3 | 2.5 | 12.5 | 15 | 13.3 | - | 30 | 36.6 | 9.16 | 18.3 | 15 | 15 | |
Pseudomonas
(n=3) |
R | 66.6 | 100 | 100 | 100 | 66.6 | 33.3 | - | 33.3 | - | - | 100 | 100 | 66.6 | - |
S | 33.3 | - | - | - | 33.3 | 66.6 | 100 | 66.6 | 100 | 100 | - | - | - | 100 | |
IS | - | - | - | - | - | - | - | - | - | - | - | - | 33.3 | - | |
Enterobacter
Species (n=1) |
R | 100 | - | - | - | 100 | 100 | 100 | - | 100 | 100 | 100 | 100 | 100 | - |
S | - | 100 | - | - | - | - | - | 100 | - | - | - | - | - | 100 | |
IS | - | - | 100 | 100 | - | - | - | - | - | - | - | - | - | - | |
Klebsiella Species (n=1) | R | - | 100 | - | - | - | - | 100 | 100 | - | 100 | - | 100 | 100 | 100 |
S | 100 | - | 100 | 100 | 100 | 100 | - | - | 100 | - | - | - | - | - | |
IS | - | - | - | - | - | - | - | - | - | - | 100 | - | - | - | |
Morganella Species (n=1) | R | 100 | 100 | 100 | - | 100 | 100 | - | 100 | - | - | 100 | 100 | 100 | - |
S | - | - | - | 100 | - | - | 100 | - | 100 | 100 | - | - | - | 100 | |
IS | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Total n=126 | |||||||||||||||
R | 53.9 | 30.1 | 44.4 | 88.8 | 58.7 | 12.5 | 19.8 | 96 | 67.4 | 1.58 | 82.5 | 41.2 | 36.5 | 81.7 | |
S | 45.2 | 34.9 | 23 | 7.93 | 29.3 | 73.8 | 67.4 | 3.96 | 3.96 | 63.4 | 7.93 | 41.2 | 48.4 | 3.9 | |
IS | 0.79 | 34.9 | 32.55 | 3.17 | 11.9 | 14.2 | 12.6 | - | 28.5 | 34.9 | 9.5 | 17.4 | 15 | 14.2 |
Susceptibility Pattern of Gram Positive Bacteria
Staphylococcus aureusshow highest resistance to Linezolid (100%), Levofloxacin (100%) and 93.7 % to Ceftezole, Ciprofloxacin, Gentamycin and highest sensitivity to Imipenem (62.5%), Meropenem (62.5%) and intermediate sensitivity to Gentamicin (6.25). Methylene Resistance Staphylococcus aureus showed highest resistance (100%) to Augmentin, Amikacin, Gentamycin, Tazobactam + Piperacillin, Vancomycin and 87.5% to Cefotaxime and Ciprofloxacin and highest sensitivity (62.5%) to Ceftezole, Meropenem, Moxifloxacin (Table 3).
Table 3: Antibiotic Susceptibility pattern of Gram positive bacteria isolated from patients
Type and No. of Isolates | RXN | Antimicrobial Activities (%) | |||||||||||||
AMC | AK | CTX | CO | CCP | GN | IMI | LNZ | LEV | MEM | MXF | TZP | SUL | VA | ||
Staph aureus (n=16) | R | 43.7 | 75 | 87.5 | 93.7 | 93.7 | 93.7 | 37.5 | 100 | 100 | 37.5 | 100 | 81.2 | 43.7 | 68.7 |
S | 56.25 | 25 | 12.5 | 6.25 | 6.25 | - | 62.5 | - | - | 62.5 | - | 18.75 | 56.2 | 31.2 | |
IS | - | - | - | - | - | 6.25 | - | - | - | - | - | - | - | - | |
MRSA (n=8) | R | 100 | 100 | 87.5 | 37.5 | 87.5 | 100 | 50 | 62.5 | 75 | 37.5 | 37.5 | 1001 | 50 | 100 |
S | - | - | 12.5 | 62.5 | 12.5 | - | 50 | 37.5 | 25 | 62.5 | 62.5 | - | 50 | - | |
IS | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Streptococcus (n=1) | R | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | - | 100 | 100 | 100 | 100 | 100 |
S | - | - | - | - | - | - | - | - | 100 | - | - | - | - | - | |
IS | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
Total (n=25) | |||||||||||||||
R | 64 | 84 | 88 | 76 | 88 | 96 | 44 | 84 | 88 | 40 | 76 | 84 | 48 | 76 | |
S | 36 | 16 | 12 | 24 | 12 | - | 56 | 16 | 12 | 60 | 24 | 16 | 52 | 24 | |
IS | 4 |
Key words: RXN; Reaction R; Resistance, S; Sensitive, IS; Intermediate Sensitive, AMC; Augmentin, AK;
Amikacin, CTX; Cefotaxime, CO; Ceftezole, CIP; Ciprofloxacin, GN; Gentamycin, IMI; Imipenem, LNZ; Linezolid, LEV; Levofloxacin, MEM; Meropenem, MXF; Moxifloxacin, TZP; Tazobactam +Piperacillin, SUL; Sulzone, VA; Vancomycin.
Streptococcus species showed highest resistance (100%) to Augmentin, Amikacin, Cefotaxime, Ceftezole, Linezolid, Ciproloxacin, Gentamicin, Imipenem, Meropenem, Moxifloxacin, Tazobactam + Piperacillin, Vancomycin, Sulzone and highest sensitivity to Levofloxacin (100%) (Table 3).
Multi - Drug Resistance Patterns of the Isolates
Multi-drug resistance (MDR) test was determined by disk diffusion method according to criteria set by CLSI 2011 against different classes of antimicrobials: penicillin (ampicillin), cephalosporin (ceftezole), glycopeptides (vancomycin), aminoglycopeptides (amikacin), fluoroquinolones (ciprofloxacin), folate pathway inhibitors (sulfamethoxazole/trimethoprim), aminoglycosides class (gentamicin), β-lactam (meropenem), quinolone class (moxifloxacin), extended-spectrum penicillin (Tazobactam + Piperacillin) and carbapenem (Imipenem). Resistance to drugs was found in 204 (52.7%) of the isolates. One hundred twenty three (123%) of gram-negative bacteria showed multi drug resistance (ten antimicrobial classes). Similarly, fifty-four (54%) of gram-positive bacteria isolates show multi drug resistance (twelve antimicrobial classes).
DISCUSSION
Discovery of antibiotics for treatment of bacterial infection was the biggest revolutionary change in the history of medicine. The antibiotic pattern of sensitivity as well as microbial pathogens, may change temporally and dspatially. Present study shows the isolation of large number of broad spectrum microorganisms from urine, pus, wound and HVS samples. E. coli, an opportunistic bacterium, and fecal coliform was isolated from urine, pus and HVS samples. Isolation of E.colifrom these samples including many reasons depicts the poor hygienic conditions of the population. Hygienic problem is seen more in rural areas because of lack of cleanliness, as these areas are usually deprived of proper waste managements and no proper sanitary system, leadings to the spread of E. coli infection which can spread from person to person. Resistance to drug has many reasons, like there is a complete course of drug for any infection, many patients stop taking medicine on the third or fourth day when they feel relief, and when they get again infected that bacteria is now resistant to that drug. Another reason is that they have been treated by other doctor, and frequent change in doctor and change in medicine make bacteria resistant to that drug. Current study shows lowest degree of bacterial resistance to drug, and highest degree of sensitivity. Isolated colonies were plated with antimicrobial disc to check their susceptibility pattern. Susceptibility pattern is done to see which drug is more effective against any bacteria. If bacteria are resistant to the drug its means that drug is unable to kill bacteria, that is why susceptibility pattern is checked that which drug for combination of drug is more effective against any infection. The study shows higher degree of sensitive of E. coli to Sulzone/Sulbactum 62.7%. Previously studies have been conducted on susceptibility pattern. Various studies were conducted on broad spectrum antibiotics and development of resistance in Non-targeted bacteria (2). Bacteria were screened against tetracycline antibiotics. Total of 157 E. coli were isolated, out of which 133 showed resistant. Our results were more sensitive than resistant to drug. Out of 73 isolates, 64 were resistant of tetracycline and 9 were found susceptible. Our result is more sensitive to sulzone/sulbactum may be because the person is being treated with drug previously. This may be due to change in environment. Change in result is due to change in genetic makeup of people.
Susceptibility behavior of E. coli; prevalence of multidrug resistant isolates and extended spectrum β-lactamase phenotype was studied by many workers (12). Out of 378 total sample, 277 were female and 151 were male in study population. Their study shows most of bacterial isolates were resistant to ampicillin (76% and 72% respectively). Our results show no degree of resistance to ampicillin. This may be due to reason that the patient is not being treated with this drug. Antibiotic susceptibility pattern of bacterial isolates showed that predominantly gram negative bacteria exhibited high resistance to all group of antibiotics (1). Total of 925 different clinical samples, 379 (40.9%) organisms were isolated. These included 118 (31.1%) Gram positive and 261 (68.9%) Gram negative isolates. Staphylococcus aureus 88 (23.2%), the most prevalent gram-positive pathogen and gram-negative isolates included E. coli 121 (31.9%), Klebsiella 62 (16.4%) and Pseudomonasspecies 59 (15.6%). The study showed a very high percentage of resistance among Gram negative organisms to all generations of cephalosporin antibiotics and H lactam/H lactamase inhibitors. In our study, highest degree of sensitivity was shown among imipenem 76.6%, meropenem 71.5%, and CSF 106.6%.
Antimicrobial susceptibility pattern of bacterial isolates from wound infection and their sensitivity to alternative topical agents in South-West Ethiopia (13). The study shows that 145 bacterial isolates from 150 clinical specimens showing high isolation rate (87.3%). The prevalent bacteria isolated from the infected wounds were Staphylococcus aureus 47 (32.4%) after that E. coli 29 about 20%, various Proteus species 23 (16%), Coagulase negative Staphylococci 21 (14.5%), Pseudomonas aeruginosa 11 (8%) and Klebsiellapneumoniae 14 (10%). These bacterial species exhibited high degree of resistance to various antibiotics including penicillin, ampicillin, cephalothin and tetracycline. Present study represented predominant sensitivity as compare to resistance. Results of current study exhibited reduced of resistance to antibiotic moxifloxacin which was 3.33%. This alteration may be due to reason that there may be mutation in genetic material as every person has diverse genetic makeup where these bacteria live. Some persons are less resistant to bacterial or any other infection and many be attacked by disease with a single touch to infected thing.
CONCLUSION
Our results show that E. coli was most prevalent microorganism isolated from Urine, pus, HVS and wound sample also by Pseudomonas as well as Staphylococcus aureus. These isolates showed highest resistance to Linezolid and Ceftriaxone, Sulfamethoxazole + Trimethoprim, Amikacin, Imipenem, and Moxifloxacin. Such a revelation of higher antibiotic resistance demands for appropriate and low dosage of antibiotic in accordance with the recent antibiotic prescribing policy in Pakistan.
AUTHORS CONTRIBUTION
MS performed the lab work and participated in all other activities. NI was involved in planning study. KU provided the samples and lab facilities in Nishtar Hospital Multan. FD planned and supervised all the research work and writing the manuscript.
Statement of conflict of interest
The authors declare that they have no conflict of interest.
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