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. 2024 May 19;16(5):e60613.
doi: 10.7759/cureus.60613. eCollection 2024 May.

The Prevalence of Multidrug-Resistant Uropathogenic Bacterial Profile With Antibiotic Susceptibility Patterns Among the Community and Hospitalized Patients During COVID Waves

Affiliations

The Prevalence of Multidrug-Resistant Uropathogenic Bacterial Profile With Antibiotic Susceptibility Patterns Among the Community and Hospitalized Patients During COVID Waves

Newar D Shawkat et al. Cureus. .

Abstract

Background and objective Urinary tract infections (UTIs) are a common infectious disease affecting people of various ages and genders and are prevalent in different geographical locations. However, the way Gram-positive and Gram-negative (UTI) germs react to antibiotic treatment varies significantly. The coronavirus disease 2019 (COVID-19) pandemic has increased the frequency of secondary bacterial superinfection, leading to a spike in ongoing recommendations for antibiotic treatment, both therapeutic and preventative. In this study, we aimed to assess uropathogenic bacterial resistance and shed light on how COVID-19 epidemic waves influence the evolution of bacterial resistance. Materials and methods A cross-sectional study was conducted, assessing the different isolates of the uropathogen in all COVID-19 waves by using convenience sampling from August 2020 till the end of 2023. The VITEK-2 compact system employing industry-standard bacteriological tests to identify the bacteria and confirm their antibiotic susceptibility was utilized. Results Of the total 3877 patients, 381 (9.8%) and 3483 (89.8%) had positive and negative microbial growth, respectively. Of the 381 (9.8%) positive cases, 130 (34%) were male and 251 (65%) were female; 138 (43.3%) patients in the age range of 15-40 years developed sporadic UTIs attributed to Gram-negative bacteria. Alternatively, patients over 40 years had the highest prevalence rate (n = 180, 56.6%). The most common strains of Gram-negative and Gram-positive bacteria were Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus), with 278 (88.8%) and 13 (20.9%) cases respectively. People with Gram-negative bacteria who were not hospitalized were very resistant to trimethoprim/sulfamethoxazole (n = 219, 69.1%), cefotaxime (n = 193, 60.9%), ampicillin (n = 192, 60.6%), and amoxicillin/clavulanic acid (176, 55.5%). While high sensitivity to meropenem (n = 14, 4.4%) and imipenem (n = 13, 4.1%) was observed, hospitalized individuals had higher levels of resistance and great sensitivity to the same antibiotics. S. aureus and Enterococcus faecalis (E. faecalis) were commonly present. Hospitalized patients were less sensitive to benzylpenicillin, ampicillin, and oxacillin, and there was a big rise in resistance to cefoxitin in the community. Conclusions In this study, Gram-negative germs among females were predominantly observed with extremely high multi-drug resistance (MDR). The most effective antibiotics against Gram-positive germs included linezolid, vancomycin, and nitrofurantin, while those against Gram-negative bacteria were meropenem and amikacin. Clinicians should be regularly updated and informed about antibiotic selection through routine monitoring of uropathogenic bacteria's susceptibility. Moreover, we recommend changes to the local antibiotic policy regarding the selection of UTIs; further multicentric and high-volume studies are required to gain deeper insights into the topic.

Keywords: antimicrobial resistance; community and hospitalized patients; covid-19; urinary tract infections; uropathogenic bacteria.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Prevalence of Gram-positive uropathogens by age group
age group (15 - 40) and > 40 years old
Figure 2
Figure 2. Distributions of Gram-positive uropathogenic bacterial species
Figure 3
Figure 3. Distributions of Gram-negative uropathogenic bacterial species
Figure 4
Figure 4. Mapping antibiotic resistance (Gram-positive): a heatmap analysis of prevalence in community and hospitalized patients
t = 20.28; df = 18; p<0.0001
Figure 5
Figure 5. Antibiotic resistance (Gram-negative): an analysis of prevalence in community and hospitalized patients
P = 0.0001

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