The prevalence of diabetes is increasing globally (Saeedi et al., 2019), and it is a major public health concern in many countries, including Somalia (Gele et al., 2016; Abdul et al., 2020). In 2019, it was estimated that 463 million individuals worldwide had diabetes mellitus, with type II DM accounting for 90% of cases, and in 2030, this number is predicted to increase to 552 million (Saeedi et al., 2019). Type 2 diabetes is a chronic, common metabolic disorder resulting in loss of or resistance to insulin which regulates blood glucose levels (Salari et al., 2022).

Patients with diabetes have a higher risk to acquire infections, especially occurring occur in the urinary tract (Mama et al., 2019). Moreover, diabetes can alter the host defense system in a number of ways, including impairing neutrophil function, increasing bacterial adhesion to the uroepithelial cells of diabetic individuals, and decreasing antibacterial activity due to glycosuria (Mohanty et al., 2022). Due to this, diabetic patients are more likely to have bacteriuria and complications as such abscesses, renal papillary necrosis, pyelonephritis, and emphysematous cystitis (Nitzan et al., 2015).

Escherichia coli is one of the most common bacterial pathogens associated with urinary tract infections in these patients (Ahmadishooli et al., 2020). Antibiotic resistance in E. coli is a serious problem, especially for diabetic patients (Wang et al., 2013; Sonkoue Lambou et al., 2022). The overuse and misuse of antibiotics have led to the development of antibiotic-resistant strains of E. coli, making it difficult to treat infections, due to the country’s ongoing conflict and limited healthcare resources, access to appropriate antibiotics is often limited (Aden and Bashiru, 2022). This has led to the widespread use of broad-spectrum antibiotics, contributing to the emergence and spread of resistant bacteria.

This study aimed to determine the antimicrobial susceptibility of Escherichia coli isolated from diabetic patients in Mogadishu, Somalia. By assessing the susceptibility patterns of these bacterial strains, we can gain valuable insights into the burden of antibiotic resistance in this population. Such information can help guide the development of appropriate treatment strategies and inform public health policy decisions.

In this study, we recruited a total of 350 patients with diabetes mellitus (DM), of which 26 (7.5%) had type I DM and 324 (92.5%) had type II DM. The majority of the participants were female, with 211 (60.3%) being female and 139 (39.7%) being male. 152 (43.5%) participants had symptoms suggestive of urinary tract infection (UTI). The overall prevalence of UTI among the diabetic population was 67.5%. The highest number of patients with urinary tract infections were in the age group of 50–60 years, with 87 (36.8%) individuals falling into this category.

The current study’s primary results indicated that bacteriuria among individuals with diabetes was 67.5%. Interestingly, none of the factors examined in the study, such as patient age, duration of diabetes, a drug used for DM management, and type of diabetes, showed any association with the prevalence of urinary tract infections (UTIs). These findings align with previous research conducted on diabetic patients in Sudan (Hamdan et al., 2015). The study found that females have a significantly higher likelihood of significant bacterial growth compared to males, with an adjusted odds ratio (AOR) of 2.5 (95% CI: 1.357–4.522, p = 0.003). This finding aligns with previous studies reporting a higher prevalence of bacterial growth in females (Czajkowski et al., 2021). This is mainly due to the short urethra, absence of prostatic secretion, pregnancy, and easy contamination of the urinary tract with fecal flora (Demilie et al., 2012). A history of urinary tract infection (UTI) was found to be a significant factor, with individuals having a history of UTI being over three times more likely to have significant bacterial growth compared to those without a history of UTI (AOR: 3.209, 95% CI: 1.733–5.942, p = 0.001). This finding aligns with previous studies reporting a higher likelihood of bacterial growth in individuals with a history of UTI (Woldemariam et al., 2019) individuals with a history of antibiotic use being over three times more likely to have significant bacterial growth than those without a history of antibiotic use (AOR: 3.245, 95% CI: 1.944–5.418, p = 0.001). These findings are consistent with previous studies conducted in Ethiopia (Woldemariam et al., 2019).

In this study, E. coli was the most predominant bacterial isolate 220 (93.2%). this is higher than the previous study conducted in Mogadishu (Mohamed et al., 2020). The second most frequently isolated bacteria were Klebsiella pneumoniae 24 (10.2%). A similar finding has been reported in southwest, Ethiopia (Beyene and Tsegaye, 2011).

In the present study, we observed intermediate to low-level resistance in E. coli to one or more antimicrobial agents. Specifically, it showed resistance primarily to cefotaxime, ciprofloxacin, ofloxacin, and amikacin. These findings align with previous reports from Ethiopia (Woldemariam et al., 2019). Gentamicin was the most effective antibiotic with 70% sensitivity. Cefepime and Meropenem also showed reasonable effectiveness, with sensitivities of 48.2 and 88.6%, respectively. Resistance to ciprofloxacin and ofloxacin was notably high, with sensitivities of only 22.27 and 9%, respectively. This is concerning because fluoroquinolones, like ciprofloxacin and ofloxacin, are frequently prescribed to treat infections caused by Gram-negative bacteria, including E. coli. The results of our study revealed that colistin exhibited a high level of effectiveness, as only one isolate showed resistance. This is particularly noteworthy because colistin is commonly reserved as a last-resort treatment when other antibiotics have failed to be effective. Our findings are consistent with previous studies conducted in Somalia, which have found high rates of resistance to commonly used antibiotics such as ciprofloxacin and amikacin in Escherichia coli isolated from diabetic patients (Mohamed et al., 2020). Similarly, a study conducted in Somalia found high resistance rates to Cefotaxime and ciprofloxacin but also found that imipenem was an effective antibiotic (Mohamed et al., 2022). The high levels of resistance observed in our study suggest a need for monitoring and judicious use of antibiotics. It is also important to explore alternative treatment options, such as the use of imipenem, to address the high levels of antibiotic resistance observed in this study. When comparing our study’s findings to those of other studies conducted outside of the study area and Africa, it is clear that antimicrobial resistance in Escherichia coli infections is a global concern. a study conducted in India found high rates of resistance to commonly used antibiotics such as norfloxacin and ciprofloxacin (Vidya et al., 2021). Similarly, a study conducted in Zimbabwe found high rates of resistance to ciprofloxacin and Cefotaxime (Demilie et al., 2012).

Our study highlights a high prevalence of antimicrobial resistance in Escherichia coli strains from diabetic patients. Individuals with a history of antibiotic use are over three times more likely to exhibit significant bacterial growth. There is a critical gap in public awareness regarding proper antibiotic use. Addressing this gap through education and targeted interventions is crucial to mitigate antimicrobial resistance and improve healthcare outcomes for diabetic patients.

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

The studies involving humans were approved by Jamhuriya University Research Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

SH: conception, original draft writing, data collection, methodology, and formal analysis. YA: data management, methodology, formal analysis, writing, review and editing, visualization, and supervision. GH: data collection, data analysis, and review and editing. All authors contributed to the article and approved the submitted version.

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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