7 results about "Kidney stones" patented technology

This invention belongs to the biomedical field and relates to the application of a compound in preventing the recurrence of calcium oxalate kidney stones. The application of the compound, or its pharmaceutically acceptable salts, esters, solvates, crystal forms, or prodrugs, in the preparation of reagents for preventing the recurrence of calcium oxalate kidney stones is described. The structure of the compound is as follows: [structure details missing]. The calcium oxalate kidney stones originate from Randall plaques. Extensive experimental evidence demonstrates that Benathin can enhance intercellular adhesion by repairing the adhesion protein network damaged by hydroxyapatite (HAP), thereby reversing epithelial damage, preventing epithelial cell detachment, and effectively protecting the renal papillary mucosal barrier, thus reducing the risk of stone formation and recurrence of calcium oxalate kidney stones.

The present application relates to a kind of bubble drinks for high uric acid population, production method, equipment, belong to functional food processing technical field.It includes the following weight parts of component: acid-eliminating composition extract: 6 to 9 parts by crude drug amount;Alkalization acid-eliminating regulator: 0.9 to 1.5 parts;Natural sweet and functional agent: 0.5 to 6 parts;And the balance of water;Acid-eliminating composition extract is prepared from chicory, tuckahoe and gardenia;Alkalization acid-eliminating regulator is composed of food-grade sodium bicarbonate and citric acid, both are reacted in water to generate sodium citrate buffer pair, and the mass ratio of citric acid and sodium bicarbonate is 1:(1.2-2.0), and the final pH of the bubble drink is 6.2-6.8.Utilize the sodium citrate buffer generated by alkalization acid-eliminating regulator reaction, fundamentally resolve uric acid crystallization, prevent uric acid kidney stone.Combined with acid-eliminating composition extract, physiological level of synthesis inhibition and excretion promotion and physicochemical level of urine alkalization and solubility promotion are realized.

The invention relates to the technical field of gravel sampling, and discloses a gravel sampling device for examination in urine of a lithiasis patient, the gravel sampling device comprises a frame body, a support column is fixed at the bottom in the frame body, a water storage tank is fixed above the support column, a funnel is fixed above the water storage tank, and a drain pipe is fixed at the bottom of the water storage tank. The drainage pipe penetrates through the frame body, and the penetrating part is fixedly connected; according to the equipment for sampling the broken stones in the urine of the calculus patient during examination, through matched use of a pedal, a connecting plate, a torsional spring, a connecting rod, a cover plate, a rotating plate, a short plate, a central column and a connecting column, the cover plate is opened by treading the pedal, compressing the torsional spring, moving the connecting rod upwards and rotating the rotating plate around the connecting column, and after the pedal is not treaded any more, the broken stones are sampled under the gravity action of the torsional spring and the cover plate; the cover plate is closed, the cover is opened when a sample needs to be poured and closed when not needed, the clean environment in the funnel is effectively protected, and impurities in the funnel are prevented from entering the funnel to affect the purity of the sample.

This invention discloses a gut microbial biomarker, product, and its application related to kidney stones, belonging to the field of biomedicine. The microbial biomarker includes one or more of *Bacteroides fecalis*, *Streptococcus salivarius*, *Bifidobacterium bifidum*, and *Roseidobacterium myxoma*. This invention provides a kit including detection reagents for detecting the relative abundance of the aforementioned microbial biomarkers. This invention also provides a product for diagnosing kidney stones, a predictive system for assessing the risk of kidney stones in a test subject, and a computer program product related to kidney stones. The product provided by this invention has good feasibility and accuracy, can effectively assess the risk of kidney stones, and provides a new tool for clinical diagnosis.

This invention belongs to the field of risk prediction technology, specifically relating to a biomarker, model, and application for predicting the recurrence of calcium oxalate kidney stones. It constructs a risk prediction model for short-term, multiple recurrences of calcium oxalate kidney stones using five core variables: butyric acid, isobutyric acid, isovaleric acid, and triglycerides in the blood, and phenylacetic acid in the intestine. The predictive model of this invention has high efficacy and can serve as a risk prediction indicator for the frequency of stone recurrence.

The present application provides a method for preparing stable calcium oxalate crystals with different particle sizes. The calcium oxalate crystals prepared by the method of the present application are regular in shape and stable in properties, and can be used to simulate different stages of kidney stone formation, and can be used to explore the mechanism of kidney stone formation and development and preventive measures.

This invention provides a method, system, and medium for assessing the fragility of kidney stones based on CT images, belonging to the field of CT image processing technology. The method includes: acquiring CT images with stone border labels and a training set of the maximum fragment volume after ESWL (Extract, Scale, and Lie); extracting stone morphology, texture, and heterogeneity features from the CT images to construct an original multimodal feature vector; constructing a multimodal grouped autoencoder, with the first layer being a group discovery layer; setting a group weight matrix; using mean squared error as the reconstruction loss; and introducing an L2,1 norm sparse regularization term during training to obtain the weight matrix; filtering features based on the absolute value threshold of the weights in each row of the matrix to construct feature groups; calculating group weights based on the variance of each feature group in the training set; for each sample, taking the mean of features within the group, and weighting and fusing them with group weights to obtain a fused feature vector; and finally training a multilayer perceptron regression model using the fused features as input to obtain a fragility assessment model. This method integrates multiple types of features and automatically mines associated feature groups, solving the problem of low accuracy in assessing kidney stone fragility caused by a single reference factor.