| Literature DB >> 35937407 |
Chennu M M Prasada Rao1, T Vennila2, Sreya Kosanam3, P Ponsudha4, K Suriyakrishnaan5, Abdullah A Alarfaj6, Abdurahman Hajinur Hirad6, S R Sundaram7, P A Surendhar8, Nagarajan Selvam9.
Abstract
Urinary tract infections (UTIs) maintained a serious public health concern, as did the growth in antibiotic resistance both between uropathogenic microorganisms. A regular assessment of the microbiological agents that cause UTIs, as well as their antimicrobial resistance, is essential for a tailored empirical antibiotic response. Knowing the variables that cause UTIs can help you intervene quickly and simply to get the condition under control. The most common infecting species in acute infection is Escherichia coli (E. coli). To strengthen infection control strategies, it is necessary to know the prevalence and location of UTI. The goal of this research is to measure the frequency of microorganisms isolated from patients with UTIs as well as the antimicrobial sensitivity characteristics of Gram-negative bacteria. The purpose of this research has been to evaluate the frequency of UTIs by extracting and characterizing the various bacterial etiological organisms, as well as to assess the factors linked to UTIs. The goal of this research is to identify, characterize, and establish the antibiotic susceptibility patterns of bacteria linked to urinary tract infections. Fresh collected urine specimen was taken from inpatients or outpatients in UTI cases and bacteriologically tested using conventional microbiological methods. The Kirby-Bauer disc diffusion method was used to create the antibiogram. Staphylococcus saprophyticus, Staphylococcus aureus (28%), and Escherichia coli (24.6%) were the most common isolates (20%). The evaluated agents' antibacterial activity was all in the following order: cefixime, ciprofloxacin, augmentin, gentamicin, ceftazidime, nitrofurantoin, ofloxacin, and cefuroxime. It was discovered that each and every one of the microbes exhibited varied degrees of resistance to the antibiotics nitrofurantoin, ciprofloxacin, and ofloxacin. Every type of bacteria, with the exception of those belonging to the genus Streptococcus, has a Multiple Antibiotic Resistance Index (MARI) that is more than 0.2. The first-line therapies for urinary tract infections (UTIs) in the region would consist of ciprofloxacin, ofloxacin, and nitrofurantoin. Lower urinary tract infections almost never result in problems if they are diagnosed and treated as soon as possible and in the correct manner. However, if treatment is not sought, a urinary tract infection can lead to serious complications.Entities:
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Year: 2022 PMID: 35937407 PMCID: PMC9348933 DOI: 10.1155/2022/4088187
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.246
Figure 1Patients with an existing UTI are more likely to develop ascending infection pathways.
Figure 2Uncomplicated and complicated UTI classifications.
Comparison of complicated and uncomplicated UTI.
| Sl. no. | Pathogens in complicated UTI | Pathogens in uncomplicated UTIs |
|---|---|---|
| 1 | E. coli | E. coli |
| 2 | Group B Streptococci | |
| 3 | Staphylococcus saprophyticus | Klebsiella |
| 4 | Enterococcus faecalis | |
| 5 | Klebsiella | Enterobacter cloacae |
| 6 | Proteus mirabilis | |
| 7 | Enterococcus faecalis | Serratia marcescens |
| 8 | Pseudomonas aeruginosa |
Figure 3Factors that make complicated UTIs more frequent.
Bacteria identified from urine specimens.
| Microorganism | Catheterized | Noncatheterized | Overall |
|---|---|---|---|
| Klebsiella | 20 | 170 | 190 |
| Enterococcus faecalis | 1 | 35 | 97 |
| E. coli | 32 | 688 | 718 |
| Citrobacter freundii | — | 10 | 10 |
| Staphylococcus saprophyticus | — | 27 | 27 |
| Staphylococcus aureus | 1 | 98 | 42 |
| Pseudomonas aeruginosa | 2 | 38 | 36 |
| Proteus mirabilis | 10 | 81 | 88 |
| Overall | 66 | 1147 | 1208 |
Figure 4FimH adhesins connect to umbrella membranes through uroplakin 1a (UP1a) and uroplakin 1b (UP1b) membrane receptors in colonization.
Figure 5(a) The uropathogenic microorganisms would reach the cytosol following adhering to an epithelial surface. (b) During the first 24 hours, intracellular microorganisms multiply fast. (c) As a result, the rate of growth slows and a protected biofilm matrix emerges. (d) The uropathogen can elude the immunological response of the host by changing its morphology. Aggregated uropathogens become motile and separate from the biofilm, allowing them to disseminate.
Frequency of bacteria identified from patients' urine specimens.
| Bacteria identified | Number of identified bacteria | Frequency rates |
|---|---|---|
| E. coli | 54 | 25.7 |
| Staphylococcus saprophyticus | 44 | 21 |
| Staphylococcus aureus | 61 | 29 |
| Pseudomonas aeruginosa | 19 | 8.5 |
| Proteus | 10 | 4.1 |
| Klebsiella | 9 | 3.8 |
| Enterococcus faecalis | 11 | 3.5 |
| Staphylococcus | 7 | 1.7 |
| Bacillus | 4 | 1.4 |
| Neisseria gonorrhoeae | 4 | 1.4 |
| Overall | 223 | 100 |
Figure 6Frequency rates of various bacteria identified.
Specific age of bacterial prevalence uropathogens.
| Range of age | UTI of positive | UTI of negative | Overall |
|---|---|---|---|
| <1 | 8 | 14 | 22 |
| 1-10 | 6 | 29 | 35 |
| 11-20 | 10 | 20 | 30 |
| 21-30 | 29 | 38 | 67 |
| 31-40 | 12 | 23 | 36 |
| 41-50 | 14 | 21 | 35 |
| 51-60 | 9 | 25 | 34 |
| Overall | 88 | 170 | 258 |
Figure 7Identified bacterial uropathogens are common.
Variation of antimicrobial sensitivity of isolated bacteria from urine samples.
| Identifies | E. coli | Staphylococcus saprophyticus | Proteus | Pseudomonas aeruginosa | Staphylococcus aureus | Klebsiella | Enterococcus Faecalis | Staphylococcus | Bacillus |
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| Susceptible | 55.3 | 29.7 | 55.7 | 62 | 29.7 | 67.8 | 84.3 | 67.8 | 67.8 |
| Resistant | 35.4 | 67.8 | 17.8 | 42 | 72.5 | 0 | 17.6 | 0 | 34.3 |
| Moderate sensitive | 10.4 | 4.8 | 28.9 | 0 | 0 | 34.3 | 34.3 | 0 | 0 |
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|
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| Susceptible | 13.9 | 4.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Resistant | 65.7 | 82 | 66.8 | 71 | 58 | 100 | 16.8 | 66.8 | 33.4 |
| Moderate sensitive | 21.7 | 14.5 | 33.4 | 32 | 44 | 0 | 84.5 | 33.4 | 66.8 |
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| Susceptible | 35.6 | 19.1 | 66.8 | 62 | 0 | 66.8 | 84.3 | 67.6 | 0 |
| Resistant | 39 | 47.5 | 22.3 | 42 | 45 | 0 | 16.8 | 33.4 | 33.4 |
| Moderate sensitive | 28.4 | 33.4 | 11.2 | 0 | 58 | 33.4 | 0 | 0 | 66.8 |
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| Susceptible | 52.8 | 82 | 73.2 | 42 | 71.5 | 33.4 | 84.3 | 100 | 66.8 |
| Resistant | 41.5 | 14.4 | 28.9 | 52 | 29.7 | 67.8 | 17.6 | 0 | 33.4 |
| Moderate sensitive | 6.8 | 4.8 | 0 | 12 | 0 | 0 | 0 | 0 | 0 |
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| Susceptible | 10.5 | 9.6 | 0 | 0 | 14.5 | 0 | 0 | 0 | 0 |
| Resistant | 83.5 | 72.5 | 95.6 | 92 | 86.8 | 100 | 100 | 67.8 | 67.8 |
| Moderate sensitive | 19 | 6.8 | 5.1 | 10 | 0 | 0 | 0 | 34.3 | 34.3 |
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| Susceptible | 66.8 | 71 | 58 | 100 | 16.8 | 66.8 | 67.8 | 17.8 | 42 |
| Resistant | 28.9 | 52 | 29.7 | 67.8 | 17.6 | 0 | 0 | 58 | 33.4 |
| Moderate sensitive | 32 | 44 | 0 | 84.5 | 33.4 | 52 | 29.7 | 67.8 | 17.6 |
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| Susceptible | 57.9 | 67.8 | 73.2 | 62 | 86.8 | 100 | 100 | 67.8 | 0 |
| Resistant | 52 | 29.7 | 67.8 | 17.6 | 58 | 33.4 | 0 | 0 | 0 |
| Moderate sensitive | 3.5 | 14.5 | 0 | 0 | 0 | 0 | 0 | 0 | 34.3 |
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| Susceptible | 8 | 4.9 | 0 | 0 | 14.5 | 0 | 34.3 | 0 | 0 |
| Resistant | 78.9 | 77.3 | 0 | 0 | 14.5 | 0 | 34.3 | 0 | 0 |
| Moderate sensitive | 17.3 | 19 | 39.8 | 10 | 14.5 | 34.5 | 16.8 | 33.4 | 68.7 |
Figure 8MARI of bacterial isolates.