Using machine learning models to predict synchronous genitourinary cancers among gastrointestinal stromal tumor patients.

Objectives: Gastrointestinal stromal tumors (GISTs) can occur synchronously with other neoplasms, including the genitourinary (GU) system. Machine learning (ML) may be a valuable tool in predicting synchronous GU tumors in GIST patients, and thus improving prognosis. This study aims to evaluate the use of ML algorithms to predict synchronous GU tumors among GIST patients in a specialist research center in Saudi Arabia. Materials and Methods: We analyzed data from all patients with histopathologically confirmed GIST at our facility from 2003 to 2020. Patient files were reviewed for the presence of renal cell carcinoma, adrenal tumors, or other GU cancers. Three supervised ML algorithms were used: logistic regression, XGBoost Regressor, and random forests (RFs). A set of variables, including independent attributes, was entered into the models. Results: A total of 170 patients were included in the study, with 58.8% (n = 100) being male. The median age was 57 (range: 9-91) years. The majority of GISTs were gastric (60%, n = 102) with a spindle cell histology. The most common stage at diagnosis was T2 (27.6%, n = 47) and N0 (20%, n = 34). Six patients (3.5%) had synchronous GU tumors. The RF model achieved the highest accuracy with 97.1%. Conclusion: Our study suggests that the RF model is an effective tool for predicting synchronous GU tumors in GIST patients. Larger multicenter studies, utilizing more powerful algorithms such as deep learning and other artificial intelligence subsets, are necessary to further refine and improve these predictions.

Utilization of the emergency department by kidney transplant recipients: a retrospective cohort study from a high-volume transplant center.

This study aims to assess the trends of emergency department (ED) visits among kidney transplant recipients in a high-volume transplant centre. Methods: This retrospective cohort study targeted patients who underwent renal transplantation at a high-volume transplant centre from 2016 to 2020. The main outcomes of the study were ED visits within 30 days, 31-90 days, 91-180 days, and 181-365 days of transplantation. Results: This study included 348 patients. The median (interquartile range) age of patients was 45.0 years (30.8, 58.2). Over half of the patients were male (57.2%). There was a total of 743 ED visits during the first year after discharge. 19% (n=66) were considered high-frequency users. High-volume ED users tended to be admitted more frequently as compared to those with low frequencies of ED visits (65.2% vs. 31.2%, respectively, P<0.001). Conclusion: As evident by the large number of ED visits, suitable coordination of management through the ED remains a pivotal component of post-transplant care. Strategies addressing prevention of complications of surgical procedures or medical care and infection control are aspects with potential for enhancement.

Duodenal transection following a seat belt injury: A case report.

INTRODUCTION AND IMPORTANCE: The rare presentation of duodenal injuries has led to a lack of guidelines for managing and diagnosing such cases. In most duodenal injuries, intramural hematoma and perforation are seen; however, complete resection of the duodenum is rare, which is seen in our case. CASE PRESENTATION: We report a rare case of a 6-year-old boy who suffered from a complete isolated duodenal transection at the pylorus and a 90% transection at D3 and D4 following a seat-belt injury. The surgeon performed a primary anastomosis for the first part of the duodenum with pyloric exclusion. Then, primary repair with controlled fistula for the second transection at D3 and D4 and a gastrojejunostomy were performed. After further management, the patient was discharged with no further complaints. CLINICAL DISCUSSION: Due to the retroperitoneal location of the duodenum, it is challenging to diagnose a duodenal injury. CT scan with contrast is considered the best diagnostic tool in the case of a duodenal injury. Treatment of duodenal injuries depends on the type of injury and the present level of damage. It is imperative to differentiate between a duodenal hematoma, a duodenal perforation, or a duodenal transection as the management for each complication differs. CONCLUSION: No official guidelines have been set in the case of management or diagnosis of duodenal transection. Based on our experience with this patient and similar literature, guidelines for managing and diagnosing duodenal transection should be set, and further studies on the matter are warranted.

Obesity-related kidney disease: Beyond hypertension and insulin-resistance.

Chronic kidney disease (CKD) causes considerable morbidity, mortality, and health expenditures worldwide. Obesity is a significant risk factor for CKD development, partially explained by the high prevalence of diabetes mellitus and hypertension in obese patients. However, adipocytes also possess potent endocrine functions, secreting a myriad of cytokines and adipokines that contribute to insulin resistance and induce a chronic low-grade inflammatory state thereby damaging the kidney. CKD development itself is associated with various metabolic alterations that exacerbate adipose tissue dysfunction and insulin resistance. This adipose-renal axis is a major focus of current research, given the rising incidence of CKD and obesity. Cellular senescence is a biologic hallmark of aging, and age is another significant risk factor for obesity and CKD. An elevated senescent cell burden in adipose tissue predicts renal dysfunction in animal models, and senotherapies may alleviate these phenotypes. In this review, we discuss the direct mechanisms by which adipose tissue contributes to CKD development, emphasizing the potential clinical importance of such pathways in augmenting the care of CKD.