Association Between Kidney Stone and Dental Calculus in a Saudi Population: A Cross-Sectional Study.

OBJECTIVE: To investigate the correlation between dental calculus and kidney stones, and to identify the risk factors associated with the presence of these conditions. METHODS: This study was carried out at the medical city, King Saud University, Riyadh, Saudi Arabia between 2020 and 2021. The study included 141 participants (70 with kidney stones and 71 with controls). The dental plaque and calculus indices were used to record plaque and calculus scores, respectively. All information was statistically investigated and the level of significance was set at p<0.05. RESULTS: The plaque and calculus indices were significantly higher in the control group when compared to the kidney stone group (p<0.05). A weak positive correlation between age and the calculus index in the kidney stone group was revealed (r=0.31, p=0.01). However, only within the age group 36-55, the results showed that the control group had a significantly higher calculus index than that of the kidney stone group (p=0.02). The married patients with kidney stones scored a significantly higher plaque index than the unmarried patients (p=0.03). CONCLUSION: The dental plaque and calculus indices were lower in the kidney stone group than those of the non-kidney stone group. Therefore, the clinical observation of dental plaque and calculus may not be indicators of kidney stones. However, within the kidney stone group, elderly and married patients could be at a higher risk for developing dental calculus and plaque, respectively.

A retrospective cohort study on the use of machine learning to predict stone-free status following percutaneous nephrolithotomy: An experience from Saudi Arabia.

Background: Machine learning techniques have been used extensively in the field of clinical medicine, especially when used for the construction of prediction models. The aim of the study was to use machine learning to predict the stone-free status after percutaneous nephrolithotomy (PCNL). Materials and methods: This is a retrospective cohort study of 137 patients. Data from adult patients who underwent PCNL at our institute were used for the purpose of this study. Three supervised machine learning algorithms were employed: Logistic Regression, XGBoost Regressor, and Random Forests. A set of variables comprising independent attributes including age, gender, body mass index (BMI), chronic kidney disease (CKD), hypertension (HTN), diabetes mellitus, gout, renal and stone factors (previous surgery, stone location, size, and staghorn status), and pre-operative surgical factors (infections, stent, hemoglobin, creatinine, and bacteriuria) were entered. Results: 137 patients were identified. The majority were males (65.4%; n = 89), aged 50 years and above (41.9%; n = 57). The stone-free status (SFS) rate was 86% (n = 118). An inverse relation was detected between SFS, and CKD and HTN. The accuracies were 71.4%, 74.5% and 75% using Logistic Regression, XGBoost, and Random Forest algorithms, respectively. Stone size, pre-operative hemoglobin, pre-operative creatinine, and stone type were the most important factors in predicting the SFS following PCNL. Conclusion: The Random Forest model showed the highest efficacy in predicting SFS. We developed an effective machine learning model to assist physicians and other healthcare professionals in selecting patients with renal stones who are most likely to have successful PCNL treatment based on their demographics and stone characteristics. Larger multicenter studies are needed to develop more powerful algorithms, such as deep learning and other AI subsets.

Neurogenic Bladder-Induced Stone in a Pelvic Kidney of a Caudal Regression Syndrome Patient: Management of a Complex Case.

Percutaneous nephrolithotomy (PCNL) is a difficult treatment for treating kidney stones, especially when there are orthopedic or skeletal abnormalities. Here, in a 19-year-old male, we describe a two-step PCNL with a case of caudal regression syndrome (CRS) and a pelvic kidney, with an extremely deformed neurogenic bladder on intermittent catheterization. Our conclusion is that PCNL may be done safely with minimum morbidity in patients with caudal regression syndrome by utilizing adult equipment for heavy stone burdens, allowing full and rapid stone removal.

A Staghorn Calcium Phosphate Stone in a Child With Sanjad-Sakati Syndrome: An Iatrogenic Manifestation?

Sanjad-Sakati syndrome (SSS) is an autosomal recessive genetic condition, with the first report discussing this condition presented in Saudi Arabia. This case report describes an iatrogenic stone as a result of hypocalcemia overtreatment, along with its subsequent management procedure. The current literature concerning the iatrogenic stone occurrence and the operative outcome of percutaneous nephrolithotomy in individuals with SS is scarce, warranting further investigation.

Clinical Application of a Two-Step Percutaneous Nephrolithotomy in a Patient With Severe Kyphoscoliosis and a Malrotated Kidney.

This case report describes a two-step percutaneous nephrolithotomy (PCNL) in a 22-year-old male who had severe kyphoscoliosis and a malrotated kidney. The operation was performed with the patient under general anesthesia and in the left lateral decubitus position. All stones were successfully removed. No complications occurred during surgery, and the patient recovered well. Regardless of the posed challenges for kidney stone treatment in patients with spinal deformities, PCNL is not only a minimally invasive but also a safe and effective treatment option when done under correct positioning. The success rate is high, and the morbidity rate is low. According to the literature, only 125 cases of PCNL implications in kyphoscoliosis patients have been reported in emerging case reports and case series.