OBJECTIVES: To investigate the incidence of ipsilateral upper urinary tract stones after partial nephrectomy and its risk factors. METHODS: We retrospectively analyzed baseline patient characteristics (age, gender, and body mass index), smoking, alcohol consumption, comorbidities (hypertension, diabetes, hypertriglyceridemia, hyperuricemia, and cardiovascular diseases), preoperative tumor conditions (tumor diameter, multiple foci, location, hemorrhage, necrosis, cystic changes, and endophytic growth), preoperative glomerular filtration rate and intraoperative factors (renal collecting system damage, ischemia time, operation time, surgical approach, and estimated intraoperative blood loss) to identify the risk factors for ipsilateral upper urinary tract stones following partial nephrectomy in our center. RESULTS: The overall incidence of upper urinary tract stones following partial nephrectomy was 7.80% (112/1435). The incidence of ipsilateral upper urinary tract stones was significantly higher than those of contralateral stones (4.95% vs 1.46%, P<0.001) and bilateral stones (4.95% vs 1.39%, P<0.001). Intraoperative damage to the renal collecting system was identified as a significant risk factor for ipsilateral upper urinary tract stones (OR=4.550, 95% CI: 2.237-9.252, P<0.001). Diabetes was a probable risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy (OR=2.419, 95% CI: 0.973-6.012, P=0.057). CONCLUSIONS The incidence of ipsilateral upper urinary tract stones after partial nephrectomy is higher than that of contralateral and bilateral stones. Intraoperative renal collecting system damage is a risk factor for secondary ipsilateral upper urinary tract stones after partial nephrectomy.
Humans ; Nephrectomy/methods* ; Retrospective Studies ; Risk Factors ; Male ; Female ; Case-Control Studies ; Middle Aged ; Aged ; Kidney Neoplasms/surgery* ; Adult ; Intraoperative Complications ; Kidney Tubules, Collecting/injuries* ; Propensity Score ; Incidence ; Kidney Calculi/etiology* ; Urinary Calculi/epidemiology*

OBJECTIVES: To investigate the causal relationship between gut microbiota and kidney stones. METHODS: Mendelian randomization analysis was conducted based on data from the MiBioGen consortium gut microbiota GWAS (exposure factors) and the IEU Open GWAS kidney stone dataset ukb-b-8297 (outcome variables) using the inverse variance weighted, MR-Egger regression, weighted median, weighted mode, and simple mode methods. Heterogeneity, pleiotropy, and leave-one-out sensitivity analyses were also performed. In the animal experiment, 12 male SD rats were randomized into control group with saline treatment and kidney stone model group treated with 1% ethylene glycol and 2% ammonium chloride for 28 consecutive days. Urine, blood, and intestinal samples of the rats were collected for testing the changes in renal function and intestinal barrier-related indicators, and kidney and colon pathologies were examined with histological staining and immunohistochemistry. The changes in diversity and abundance of gut microbiota were analyzed using 16S rRNA gene sequencing. RESULTS: Mendelian randomization analysis showed that decreased abundances of Lachnospiraceae NK4A136 group (OR=0.9974, 95% CI: 0.9948-0.9999, P=0.0393) and Gordonibacter (OR=0.9987, 95% CI: 0.9974-0.9999, P=0.0403) were associated with an increased risk of kidney stones without significant heterogeneity or horizontal pleiotropy, and sensitivity analyses suggested robustness of the results. The rat models of kidney stones exhibited significant renal function impairment and calcium oxalate crystal deposition, accompanied by decreased expressions of intestinal barrier-related proteins with lowered intestinal α- and β-diversity indices. Intestinal Gordonibacter abundance was significantly reduced in the rat models while the Lachnospiraceae NK4A136 group did not differ significantly between the control and model groups. CONCLUSIONS Decreased Gordonibacter abundance in gut microbiota is associated with an increased risk of kidney stones. The protective role of the Lachnospiraceae NK4A136 group against kidney stones as suggested by Mendelian randomization analysis fails to be supported by the experimental evidence and awaits further investigation.
Animals ; Kidney Calculi/microbiology* ; Gastrointestinal Microbiome ; Mendelian Randomization Analysis ; Rats, Sprague-Dawley ; Rats ; Male ; Disease Models, Animal ; Intestines/microbiology* ; RNA, Ribosomal, 16S/genetics*

Kidney stones are a urinary system disease with a high incidence,among which calcium oxalate stones are the most common.Metabolic disorders such as hypertension,diabetes,obesity,hyperlipidemia,and hyperuricemia can cause changes in oxalate,uric acid,and pH and calcium ion concentrations in the urine through multiple pathways including inducing oxidative stress and inflammatory responses by generating reactive oxygen species,ultimately affecting the formation of calcium oxalate stones.This article reviews the possible pathways and mechanisms by which metabolic diseases influence the formation of calcium oxalate stones,providing new ideas for the clinical prevention and treatment of calcium oxalate stones.
Humans ; Calcium Oxalate/metabolism* ; Kidney Calculi/etiology* ; Metabolic Diseases/complications*

OBJECTIVES

To describe the demographics of patients undergoing supine PCNL (s-PCNL) and prone PCNL (p-PCNL) at Veterans Memorial Medical Center (VMMC) and to compare different data collected between the two approaches.

Retrospective data collection was done through chart review of patients who underwent supine and prone PCNL at VMMC from 2018 to 2022. Information collected includes patient demographics, clinical profile, stone burden and laterality, surgical technique, hospital days, complications and management.

A total of 176 cases, 132 s-PCNL and 44 p-PCNL, were included. Demographic data show no statistical difference as to age and sex. There is no statistical difference in the stone burden, stone density, and Guy’s stone scores between the two groups. There was no statistical difference in the mean operative time and stone free rates between the two groups. Mean hospital stay was 6.11 days for s-PCNL and 6.76 for p-PCNL, with significant statistical difference in favor of s-PCNL. Complication rates were 15.2% for supine PCNL and 13.6% for prone PCNL. There was no statistical significant difference in Clavien-Dindo complications between the two groups. There was no mortality reported for both groups.

There is an observed increasing trend in the number of supine PCNL versus prone PCNL from 2018 to 2022. Supine PCNL is as effective and safe as prone PCNL. Supine PCNL appears to be more beneficial in terms of hospital stay in days. However, one limitation of the study its being retrospective and collated data which is the cause of the discrepancy in sample population size between the two groups.

Currently, the types of kidney stones before surgery are mainly identified by human beings, which directly leads to the problems of low classification accuracy and inconsistent diagnostic results due to the reliance on human knowledge. To address this issue, this paper proposes a framework for identifying types of kidney stones based on the combination of radiomics and deep learning, aiming to achieve automated preoperative classification of kidney stones with high accuracy. Firstly, radiomics methods are employed to extract radiomics features released from the shallow layers of a three-dimensional (3D) convolutional neural network, which are then fused with the deep features of the convolutional neural network. Subsequently, the fused features are subjected to regularization, least absolute shrinkage and selection operator (LASSO) processing. Finally, a light gradient boosting machine (LightGBM) is utilized for the identification of infectious and non-infectious kidney stones. The experimental results indicate that the proposed framework achieves an accuracy rate of 84.5% for preoperative identification of kidney stone types. This framework can effectively distinguish between infectious and non-infectious kidney stones, providing valuable assistance in the formulation of preoperative treatment plans and the rehabilitation of patients after surgery.
Humans ; Kidney Calculi/classification* ; Deep Learning ; Neural Networks, Computer ; Tomography, X-Ray Computed ; Imaging, Three-Dimensional ; Radiomics

OBJECTIVE: To assess health related quality of life (HRQOL) in patients with kidney stones and to predict risk factors for reduced HRQOL in the patients by the Chinese version of Wisconsin stone quality of life questionnaire (C-WISQOL). METHODS: The patients with renal stones admitted to Peking University People ' s Hospital from July 2020 to June 2021 were prospectively enrolled. The inclusion criteria included the patients with renal stones aged 18-80 years and sufficient Chinese language foundation, and the exclusion criteria included the patients with internal ureteral stents, malignant tumors, sepsis, etc. Demographic data and clinical data related to kidney stones were collected, and the C-WISQOL and the short form 36 health survey (SF-36) questionnaire completed by the patients was recorded. C-WISQOL included four domains (D): emotional impact (D1), social impact (D2), stone-related impact (D3) and vitality impact (D4). Cronbach ' s α coefficient was used to verify the internal consistency of C-WISQOL, Spearman ' s rho coefficient was used to verify the criterion validity between C-WISQOL and SF-36 questionnaire, confirmatory factor analysis was used to verify the structural validity, convergent validity and discrimination validity of C-WISQOL, and univariate and multivariate analyses were used to explore the risk factors leading to the decline of HRQOL in the patients with kidney stones. RESULTS: The study included 307 patients with kidney stones, of whom 212 (69.1%) were male, with a mean age of (51.9±13.5) years, and a mean body mass index (BMI) of (25.4±3.6) kg/m². 160 (52.1%) patients were complicated with metabolic syndrome (MS), 202 (65.8%) had history of calculi, 217 (70.7%) had calculi related symptoms, 53 (17.3%) had bilateral renal calculi, 82 (26.7%) had ureteral calculi, 199 (64.8%) had hydronephrosis, 78 (25.4%) had renal insufficiency, and urinary tract infection (UTI) was found in 168 patients (54.7%) with an average diameter of (15.6±5.9) mm. The mean total score of C-WISQOL questionnaire for all the patients was (94.9±13.7) points, D1 was (27.2±4.2) points, D2 was (23.8±3.7) points, D3 was (27.0±3.6) points, and D4 was (10.1±1.9) points. The Cronbach ' s α coefficient of the total score of C-WISQOL questionnaire was 0.968 and the four dimensions ranged from 0.860 to 0.898. The Spearman' s rho co- efficient between C-WISQOL and SF-36 total score was 0.564, and the Spearman' s rho coefficient between dimensions was 0.684-0.901, indicating that C-WISQOL had good internal consistency and criterion validity. Confirmatory factor analysis showed that C-WISQOL had good structural validity, convergent validity and discrimination validity. Univariate analysis showed that the patients with MS (OR=1.607, P < 0.001), calculi related symptoms (OR=1.268, P < 0.001), bilateral kidney stones (OR=1.900, P < 0.001), combined with ureteral calculi (OR=1.018, P < 0.001), accompanied by hydronephrosis (OR=1.685, P < 0.001), and UTI (OR=1.275, P < 0.001) were risk factors for decreased HRQOL in the patients with kidney stones, and multivariate analysis showed that the patients with MS (OR=1.475, P < 0.001), calculi related symptoms (OR=1.546, P=0.043) and UTI (OR=1.646, P=0.005) were independent risk factors for HRQOL decline in the patients with renal calculi. The t-test results showed that C-WISQOL scores were significantly higher in the patients without MS, stone-related symptoms and UTI than those in the patients with associated risk factors (P < 0.001). CONCLUSION C-WISQOL the questionnaire can be used to evaluate the HRQOL of patients with kidney stones with good reliability. The combination of MS, stone-related symptoms and UTI were independent risk factors for HRQOL reduction in the patients with renal stones.
Humans ; Quality of Life ; Kidney Calculi/psychology* ; Surveys and Questionnaires ; Middle Aged ; Male ; Adult ; Female ; Risk Factors ; Aged ; Prospective Studies ; China/epidemiology* ; Adolescent ; Aged, 80 and over ; Language ; Young Adult

Kidney stone is a highly recurrent disease in the urinary tract system. Most kidney stones are calcium stones, usually consisting of either calcium oxalate or calcium phosphate. Supersaturation of soluble calcium, oxalate, phosphate, and citrate in the urine is the basis for calcium stone formation. Genetics, diet, low physical activity, and individual habits contribute to the formation of kidney stones. In this review, the associations of the risk of kidney stones with oxalate consumption and some individual habits, such as smoking, alcohol drinking, and opium consumption, are summarized.
Humans ; Calcium/urine* ; Oxalates ; Kidney Calculi/urine* ; Calcium Oxalate/urine* ; Habits

Renal calculus is a common disease with complex etiology and high recurrence rate. Recent studies have revealed that gene mutations may lead to metabolic defects which are associated with the formation of renal calculus, and single gene mutation is involved in relative high proportion of renal calculus. Gene mutations cause changes in enzyme function, metabolic pathway, ion transport, and receptor sensitivity, causing defects in oxalic acid metabolism, cystine metabolism, calcium ion metabolism, or purine metabolism, which may lead to the formation of renal calculus. The hereditary conditions associated with renal calculus include primary hyperoxaluria, cystinuria, Dent disease, familial hypomagnesemia with hypercalciuria and nephrocalcinosis, Bartter syndrome, primary distal renal tubular acidosis, infant hypercalcemia, hereditary hypophosphatemic rickets with hypercalciuria, adenine phosphoribosyltransferase deficiency, hypoxanthine-guanine phosphoribosyltransferase deficiency, and hereditary xanthinuria. This article reviews the research progress on renal calculus associated with inborn error of metabolism, to provide reference for early screening, diagnosis, treatment, prevention and recurrence of renal calculus.
Infant ; Humans ; Hypercalciuria/genetics* ; Kidney Calculi/genetics* ; Urolithiasis/genetics* ; Nephrocalcinosis/genetics* ; Metabolism, Inborn Errors/genetics*

This paper analyzed the clinical data, diagnosis and treatment of 4 asymptomatic patients with ureteral calculi without hydrops in our hospital from October 2018 to January 2019, and comprehensively discussed the previous literature. The 4 patients in this group had no obvious clinical symptoms, no positive stones were found in the B-ultrasound of the urinary system, and no hydroureter and hydroureter of the affected side was found. Urinary CT scan confirmed ureteral stones. They were all located in the lower ureter, and the stones obstructed the lumen. The stones were round and smooth, and there was no obvious hyperplasia and edema in the surrounding mucosa. The lithotripsy was completed in the first-stage operation, and the DJ catheter was left behind for one month after the operation. Based on the clinical diagnosis and treatment process of the 4 cases of asymptomatic calculi in this group and the analysis of previous studies, these patients were mostly detected by imaging examinations or other systematic imaging examinations during the regular review of urinary calculi. Ureteral stones with obstruction did not necessarily have stone-related symptoms. The onset of renal colic involved an increase in intraluminal pressure, related stimulation of nerve endings, smooth muscle spasms caused by stretching of the ureteral wall, and systemic changes in cytokines and related hormones. Cascade reactions, etc., were associated with the movement of stones down. Ureteral stones without hydrops were mostly located in the lower ureter, which had a certain buffering effect on obstructive pressure. Asymptomatic ureteral calculi could also induce irreversible damage to renal function, and the proportion of damage increased with the diameter of the stone. Patients with a history of urinary calculi, especially those with asymptomatic stones for the first time, should be paid attention to during clinical follow-up. At present, there are few research reports on asymptomatic and non-accumulating ureteral calculi. We analyze the clinical diagnosis and treatment process and characteristics of this group of patients combined with previous literature to provide a reference for the diagnosis and treatment of such patients.
Humans ; Ureteral Calculi/therapy* ; Urinary Calculi/therapy* ; Ureter ; Lithotripsy/methods* ; Edema/therapy* ; Kidney Calculi/therapy*

Objective: To evaluate the associations of body mass index (BMI) and waist circumference with hospitalization risk of kidney stones in Chinese adults. Methods: This study used long-term follow-up data from China Kadoorie Biobank. After excluding participants with chronic kidney disease, cancer, and extreme BMI or waist circumference values at baseline, 502 096 participants were included in the present analysis. Cox proportional hazards regression models were used to estimate the associations of BMI and waist circumference with hospitalization risk of kidney stones. Results: During an average follow-up period of (10.7±2.2) years, 12 396 participants were hospitalized for the first time with kidney stones. Using the participants with BMI (kg/m²) of 20.5-22.4 as reference, the multivariable-adjusted HR (95%CI) for those with BMI of <18.5, 18.5-20.4, 22.5-23.9, 24.0-25.9, 26.0-27.9, 28.0-29.9, and ≥30.0 were 0.96 (0.87-1.05), 0.94 (0.88-1.00), 1.11 (1.05-1.17), 1.25 (1.18-1.32), 1.29 (1.21-1.37), 1.39 (1.28-1.50), and 1.54 (1.40-1.71), respectively. For every 1 kg/m² increase in BMI, the HR of kidney stones hospitalization increased by 4% (HR=1.04, 95%CI: 1.04-1.05). Using the participants with waist circumference (cm) of 75.0-79.9 as reference, the multivariable-adjusted HR (95%CI) for those with waist circumference of <65.0, 65.0-69.9, 70.0-74.9, 80.0-84.9, 85.0-89.9, 90.0-94.9, and ≥95.0 were 0.82 (0.74-0.91), 0.85 (0.80-0.92), 0.95 (0.89-1.00), 1.16 (1.09-1.22), 1.22 (1.15-1.30), 1.28 (1.19-1.38), and 1.46 (1.35-1.58), respectively. For every 5 cm increase in waist circumference, the HR of kidney stones hospitalization increased by 9% (HR=1.09, 95%CI: 1.08-1.10). After mutually adjusting for BMI and waist circumference in the above models, the association between BMI and hospitalization risk of kidney stones disappeared. In contrast, the association between waist circumference and hospitalization risk of kidney stones remained unchanged. Conclusions: BMI and waist circumference were positively associated with hospitalization risk of kidney stones. The increased waist circumference was an independent risk factor for kidney stones among Chinese adults.
Adult ; Body Mass Index ; Hospitalization ; Humans ; Kidney Calculi/epidemiology* ; Risk Factors ; Waist Circumference