Acute management of stones: When to treat or not to treat?

Development and evaluation of USCnet: an AI-based model for preoperative prediction of infectious and non-infectious urolithiasis

BACKGROUND

Urolithiasis, a prevalent condition characterized by a high rate of incidence and recurrence, necessitates accurate preoperative diagnostic methods to determine stone composition for effective clinical management. Current diagnostic practices, reliant on postoperative specimen analysis, often fail to facilitate timely and precise therapeutic decisions, leading to suboptimal clinical outcomes. This study introduces an artificial intelligence model developed to predict infectious and non-infectious urolithiasis preoperatively using clinical data and CT imaging.

METHODS

Data from December 2014 to November 2021 involving 642 patients undergoing surgical treatment for urolithiasis were used to train and validate the model. The model integrates Visual and Textual Transformation (VTT) and Multimodal-Segmentation Attention Fusion (MSAF) modules to enhance the diagnostic process.

RESULTS

The model demonstrated superior accuracy and reliability in differentiating between infectious and non-infectious urolithiasis compared to traditional diagnostic methods. It achieved a classification accuracy of 79.66%, Area Under Curve of 86.74%, significantly outperforming conventional ResNet architectures and similar models. The inclusion of clinical parameters substantially improved the model's predictive capabilities.

CONCLUSIONS

Our model provides an efficient tool for the preoperative identification of urolithiasis type, supporting clinical decisions regarding surgical planning and postoperative care. Its ability to process and analyze complex clinical and imaging data preoperatively positions it as a valuable adjunct in urological practice, particularly in settings with limited access to specialized medical resources.

Identification of Calculous Pyonephrosis by CT-Based Radiomics and Deep Learning

Urgent detection of calculous pyonephrosis is crucial for surgical planning and preventing severe outcomes. This study aims to evaluate the performance of computed tomography (CT)-based radiomics and a three-dimensional convolutional neural network (3D-CNN) model, integrated with independent clinical factors, to identify patients with calculous pyonephrosis. We recruited 182 patients receiving either percutaneous nephrostomy tube placement or percutaneous nephrolithotomy for calculous hydronephrosis or pyonephrosis. The regions of interest were manually delineated on plain CT images and the CT attenuation value (HU) was measured. Radiomics analysis was performed using least absolute shrinkage and selection operator (LASSO). A 3D-CNN model was also developed. The better-performing machine-learning model was combined with independent clinical factors to build a comprehensive clinical machine-learning model. The performance of these models was assessed using receiver operating characteristic analysis and decision curve analysis. Fever, blood neutrophils, and urine leukocytes were independent risk factors for pyonephrosis. The radiomics model showed higher area under the curve (AUC) than the 3D-CNN model and HU (0.876 vs. 0.599, 0.578; p = 0.003, 0.002) in the testing cohort. The clinical machine-learning model surpassed the clinical model in both the training (0.975 vs. 0.904, p = 0.019) and testing (0.967 vs. 0.889, p = 0.045) cohorts.

Urgent ureterorenoscopy as a primary treatment for ureteral stone: why not?

To evaluate the feasibility of urgent ureteroscopy (uURS) and elective ureteroscopy (eURS) in the management of patients with renal colic due to ureteral stones. Patients who were operated for ureteral stones between September 2020 and March 2022 were determined retrospectively. The patients who were operated within the first 24 h constituted the uURS group, while the patients who were operated after 24 h were classified as eURS. No limiting factors such as age, gender and concomitant disease were determined as inclusion criteria. Patients with bilateral or multiple ureteral stones, bleeding diathesis, patients requiring emergency nephrostomy or decompression with ureteral JJ stent, and pregnant women were not included. The two groups were compared in terms of stone-free rate, complications, and overall outcomes. According to the inclusion-exclusion criteria, a total of 572 patients were identified, including 142 female and 430 male patients. There were 219 patients in the first group, the uURS arm, and 353 patients in the eURS arm. The mean stone size was 8.1 ± 2.6. The stone-free rate was found to be 87.8% (502) in general, and 92 and 85% for uURS and eURS, respectively. No major intraoperative or postoperative complications were observed in any of the patients. Urgent URS can be performed effectively and safely as the primary treatment in patients with renal colic due to ureteral stones. In this way, the primary treatment of the patient is carried out, as well as the increased workload, additional examination, treatment and related morbidities are prevented.

Dietary supplements and medicinal plants in urolithiasis: diet, prevention, and cure

BACKGROUND

Urolithiasis has been a major health concern for centuries, primarily owing to the limited treatment options in the physician's armamentarium. However, various studies have underscored a lesser incidence of urolithiasis in cohorts predominantly consuming fruits and vegetables. This article aims to review various dietary plants, medicinal herbs and phytochemicals in the prevention and management of urolithiasis.

METHODS

To provide context and evidence, relevant publications were identified on Google Scholar, PubMed and Science-Direct using keywords such as urolithiasis, nephrolithiasis, urolithiasis, renal stones, phytochemicals and dietary plants.

RESULTS

Growing bodies of evidence suggest the incorporation of plant-based foods, medicinal and herbal supplements, and crude drugs containing phytochemicals into the staple diet of people. The anti-urolithiatic activity of these plant bioactives can be attributed to their antioxidant, antispasmodic, diuretic, and inhibitory effect on the crystallization, nucleation and crystal aggregation effects. These mechanisms would help alleviate the events and symptoms that aid in the development and progression of renal calculi. In addition, it will also avoid the exacerbation of secondary disorders like inflammation and injury, which can initiate a vicious circle in turn worsening the disease progression.

CONCLUSION

In conclusion, the results presented in the review demonstrate the promising role of various dietary plants, medicinal and herbal supplements, and phytochemicals in preventing and managing the precipitation of uroliths. However, more conclusive and cogent evidence from preclinical and clinical studies is required to substantiate their safety, efficacy and toxicity profiles in humans.

Advantages of Herbal Over Allopathic Medicine in the Management of Kidney and Urinary Stones Disease

Kidney and urinary stone disease (Nephrolithiasis and urolithiasis) are the condition where urinary stones or calculi are formed in the urinary tract. The problem of urinary stones is very ancient; these stones are found in all parts of the urinary tract, kidney, ureters, and the urinary bladder and may vary considerably in size. It is a common disease estimated to occur in approximately 12% of the population, with a recurrence rate of 70-81% in males and 47-60% in females. The treatment of kidney and urinary stone diseases such as a western (allopathy) medicine and surgery is now in trends. However, most people preferred plant-based (herbal) therapy because of the overuse of allopathic drugs, which results in a higher incidence rate of adverse or severe side effects. Therefore, people every year turn to herbal therapy because they believe plant-based medicine is free from undesirable side effects, although herbal medicines are generally considered to be safe and effective. In the present article, an attempt has been made to emphasize an herbal therapy is better than allopathic therapy for the management of the kidney and urinary stone disease.

Clinical Situations of Bacteriology and Prognosis in Patients with Urosepsis

BACKGROUND

Urosepsis and septic shock are a critical situation leading to a mortality rate up to 30% in patients with obstructive diseases of the urinary tract.

AIM

To analyze the bacterial distribution and drug resistance of pathogenic bacteria in patients with urosepsis and to provide a basis for the rational application of antibacterial drugs in clinical practice.

METHODS

A retrospective analysis of 94 hospitalized patients with urosepsis for 6 years was performed. The strain composition, resistance characteristics, and the antibiogram of common bacteria from positive blood and midstream urine culture were analyzed.

RESULTS

A total of 87 strains were isolated, including 65 strains (74.71%) of Gram-negative bacilli, 14 strains (16.09%) of Gram-positive cocci, and 8 strains (9.20%) of fungi. The Gram-negative bacilli included 42 strains of Escherichia coli (E. coli) (64.62%), among which 34 strains (80.95%) were producing ESBLs, and 14 strains (21.84%) of Klebsiella pneumoniae (K. pneumoniae), among which nine strains (64.29%) were producing ESBLs. The most common pathogenic bacteria, ESBL+ E. coli and K. pneumoniae strains, showed sensitivity towards imipenem, ertapenem, piperacillin/tazobactam, amikacin, and cefotetan, but were highly resistant to quinolones. The cure rate of urosepsis was 88.30%, and the susceptibility rate of septic shock was 45.47%.

SIGNIFICANCE

Gram-negative bacterial infections are the main cause of urosepsis. The mild patient group showed more E. coli (ESBL-) infections, and the number of ESBL producing E. coli isolated from the mild group showed higher drug resistance rates for aztreonam and levofloxacin compared with isolates from the severe group.