Clinical implications of the anatomical position of the urethra meatus in women with recurrent post-coital cystitis: a case-control study

Therapies in preclinical and in early clinical development for the treatment of urinary tract infections: from pathogens to therapies

INTRODUCTION

Urinary tract infections (UTIs) are a prevalent health challenge characterized by the invasion and multiplication of microorganisms in the urinary system. The continuous exploration of novel therapeutic interventions is imperative. Advances in research offer hope for revolutionizing the management of UTIs and improving the overall health outcomes for individuals affected by these infections.

AREAS COVERED

This review aimed to provide an overview of existing treatments for UTIs, highlighting their strengths and limitations. Moreover, we explored and analyzed the latest therapeutic modalities under clinical development. Finally, the review offered a picture into the potential implications of these therapies on the future landscape of UTIs treatment, discussing possible advancements and challenges for further research.

EXPERT OPINION

Comprehensions into the pathogenesis of UTIs have been gleaned from foundational basic science studies, laying the groundwork for the exploration of novel therapeutic interventions. The primary source of evidence originates predominantly from animal studies conducted on murine models. Nevertheless, the lack of clinical trials interferes the acquisition of robust evidence in humans. The challenges presented by the heterogeneity and virulence of uropathogens add an additional layer of complexity, posing an obstacle that scientists and clinicians are actively grappling with in their pursuit of effective solutions.

SWOT and Root Cause Analyses of Antimicrobial Resistance to Oral Antimicrobial Treatment of Cystitis

Nearly 150 million cases of urinary tract infections (UTIs) are reported each year, of which uncomplicated cystitis triggers > 25% of outpatient prescriptions of oral antimicrobial treatment (OAT). OAT aids immune cells infiltrating the urothelium in eliminating uropathogens capable of invading the urothelium and surviving hyperosmotic urine. This self-evident adaptability of uropathogens and the short interval between the introduction of Penicillin and the first report of antimicrobial resistance (AMR) implicate AMR as an evolutionary conserved heritable trait of mutant strains selected by the Darwinian principle to survive environmental threats through exponential proliferation. Therefore, AMR can only be countered by antimicrobial stewardship (AMS) following the principle of the five Ds-drug, dose, duration, drug route, and de-escalation. While convenient to administer, the onset of the minimum inhibitory concentration (MIC) for OAT in urine leaves a window of opportunity for uropathogens to survive the first contact with an antimicrobial and arm their descendant colonies with AMR for surviving subsequent higher urine antimicrobial levels. Meanwhile, the initial dose of intravesical antimicrobial treatment (IAT) may be well above the MIC. Therefore, the widespread clinical use of OAT for cystitis warrants an analysis of the strengths, weaknesses, opportunity, and threats (SWOTs) and a root cause analysis of the AMR associated with OAT and IAT.

Beyond the tip of the iceberg: A meta-analysis of the anatomy of the clitoris

An understanding of ranges in clitoral anatomy is important for clinicians caring for patients including those who have had female genital mutilation, women seeking genital cosmetic surgery, or trans women seeking reconstructive surgery. The aim of this meta-analysis is to investigate the ranges in clitoral measurements within the literature. A meta-analysis was performed on Ovid Medline and Embase databases following the PRISMA protocol. Measurements of clitoral structures from magnetic imaging resonance, ultrasound, cadaveric, and living women were extracted and analyzed. Twenty-one studies met the inclusion criteria. The range in addition to the average length and width of the glans (6.40 mm; 5.14 mm), body (25.46 mm; 9.00 mm), crura (52.41 mm; 8.71 mm), bulb (52.00 mm; 10.33 mm), and prepuce (23.19 mm) was calculated. Furthermore, the range and average distance from the clitoris to the external urethral meatus (22.27 mm), vagina (43.14 mm), and anus (76.30 mm) was documented. All erectile and non-erectile structures of the clitoris present with substantial range. It is imperative to expand the literature on clitoral measurements and disseminate the new results to healthcare professionals and the public to reduce the sense of inadequacy and the chances of iatrogenic damage during surgery.

A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning

Patients with type 2 diabetes mellitus (T2DM) are at higher risk for urinary tract infections (UTIs), which greatly impacts their quality of life. Developing a risk prediction model to identify high-risk patients for UTIs in those with T2DM and assisting clinical decision-making can help reduce the incidence of UTIs in T2DM patients. To construct the predictive model, potential relevant variables were first selected from the reference literature, and then data was extracted from the Hospital Information System (HIS) of the Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital for analysis. The data set was split into a training set and a test set in an 8:2 ratio. To handle the data and establish risk warning models, four imputation methods, four balancing methods, three feature screening methods, and eighteen machine learning algorithms were employed. A 10-fold cross-validation technique was applied to internally validate the training set, while the bootstrap method was used for external validation in the test set. The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to evaluate the performance of the models. The contributions of features were interpreted using the SHapley Additive ExPlanation (SHAP) approach. And a web-based prediction platform for UTIs in T2DM was constructed by Flask framework. Finally, 106 variables were identified for analysis from a total of 119 literature sources, and 1340 patients were included in the study. After comprehensive data preprocessing, a total of 48 datasets were generated, and 864 risk warning models were constructed based on various balancing methods, feature selection techniques, and a range of machine learning algorithms. The receiver operating characteristic (ROC) curves were used to assess the performances of these models, and the best model achieved an impressive AUC of 0.9789 upon external validation. Notably, the most critical factors contributing to UTIs in T2DM patients were found to be UTIs-related inflammatory markers, medication use, mainly SGLT2 inhibitors, severity of comorbidities, blood routine indicators, as well as other factors such as length of hospital stay and estimated glomerular filtration rate (eGFR). Furthermore, the SHAP method was utilized to interpret the contribution of each feature to the model. And based on the optimal predictive model a user-friendly prediction platform for UTIs in T2DM was built to assist clinicians in making clinical decisions. The machine learning model-based prediction system developed in this study exhibited favorable predictive ability and promising clinical utility. The web-based prediction platform, combined with the professional judgment of clinicians, can assist to make better clinical decisions.

The relation of body mass index, body height, and parity to pyelonephritis: A nationwide population-based cohort study of over one million parous women (1997-2018)

OBJECTIVES

We aimed to explore the association between various physiological factors and pyelonephritis in parous women.

METHODS

Swedish nationwide registers were used to identify 1,073,467 parous women aged 15-50 years. The study period began in 1997 and ended in 2018, or at the first incidence of pyelonephritis, death, or emigration. Cox proportional hazards methods were used to determine hazard ratios (HRs) and 95% confidence intervals (CIs) of pyelonephritis in relation to body mass index (BMI) and body height adjusted for age, parity, and individual-level sociodemographic variables.

RESULTS

A total of 21,625 women (2.0%) were diagnosed with pyelonephritis during follow-up. In the fully adjusted model, low BMI (<18.5) was associated with pyelonephritis (HR 1.13, 95% CI 1.06-1.21). Parity and certain sociodemographic characteristics were also independently associated with pyelonephritis. Body height <161 cm was associated with pyelonephritis (HR 1.12, 95% CI 1.09-1.16) in all but the fully adjusted model.

CONCLUSION

Low BMI and body height seem to be associated with uncomplicated pyelonephritis. More research is needed to verify these findings and identify possible mechanisms.

Elucidating the effect of body mass index, height, and parity on uncomplicated cystitis: a nationwide population-based cohort study

In this nationwide cohort of one million fertile women, BMI, height, and parity only had minor but statistically significant effects on the risk of uncomplicated cystitis. The results indicate that underweight women and certain sociodemographic groups might have higher risks, which could have underlying explanations that need further studying.

Contemporary management considerations of urinary tract infections for women with spina bifida

INTRODUCTION AND HYPOTHESIS

Urinary tract infections (UTIs) are one of the leading health concerns and causes of hospitalization for adults with spina bifida (SB). The risk factors, evaluation, management, and prevention of UTIs in women with SB must take into consideration their unique pelvic anatomy and function as well as the desire for pregnancy or the occurrence UTI during pregnancy. This article reviews published literature regarding this topic and offers recommendations for UTI evaluation, management, and prevention in the context of the unique pelvic floor health needs of women with SB.

METHODS

A systematic review was conducted using the following keywords: spinal dysraphism, spina bifida, myelomeningocele, meningocele, urinary tract infections, females, and adults. Articles were included if they were in English, published during or after 2000, peer reviewed, included women with spina bifida aged 18 or greater, and included outcomes related to urinary tract infection.

RESULTS

No articles met inclusion criteria.

CONCLUSION

As no articles were found based on the initial search criteria, articles pertaining to neurogenic bladder UTI risks, evaluation, and management were discussed to develop consensus recommendations for the unique care of UTIs in women with SB.