15 results about "Renal patient" patented technology

The invention belongs to the technical field of biological medicines, and particularly relates to application of secretory lactase-like protein (LCTL) as a diagnostic marker in preparation of a diagnostic kit for chronic kidney diseases. According to the present invention, the secretory form of the LCTL is found for the first time, the secretory LCTL content in the human serum is detected by using the existing commercial ELISA kit for the first time, and the further research finds that the secretory LCTL content in the serum of the chronic kidney disease patient is significantly reduced compared with the normal person; and the content of the LCTL in the serum is obviously related to the renal function impairment degree and proteinuria degree of the patient, so that the application of the secretory LCTL in preparing the biomarker for diagnosing the chronic kidney disease is provided for the first time. The invention provides a new method for chronic kidney disease diagnosis, and has important clinical significance and commercial value.

The invention relates to the technical field of health assessment, in particular to a remote monitoring method and system for kidney disease patients. Similarity is obtained according to trend items and season items of adjacent time sequence segments in the sign monitoring time sequence; obtaining a sign monitoring segment according to the similarity of all adjacent time sequence segments; clustering the physical sign monitoring sections of the patient, and obtaining an abnormal disturbance difference value according to the difference characteristics of the residual items corresponding to the physical sign monitoring sections in the physical sign state cluster; obtaining an abnormal characterization value according to the residual item corresponding to the physical sign monitoring section in the physical sign state cluster, the abnormal disturbance difference value and the physical sign monitoring section; and obtaining a comprehensive abnormal index according to the abnormal representation values of all the physical sign state clusters of the patient. According to the body difference characteristics of the patient and other patients in the patient cluster, the abnormal early warning index is obtained by integrating the difference characteristics of the abnormal indexes and the difference characteristics of the sign monitoring time sequence, and early warning is carried out, so that the accuracy of remotely monitoring the state of the patient is improved.

This invention discloses the isolation, extraction, and novel application of a neutral, water-soluble polysaccharide from Sophora japonica extract. The invention extracts a water-soluble, neutral polysaccharide with a molecular weight between 20-22 kDa. This invention uses the Sophora japonica extract to treat renal interstitial fibrosis. Multiple studies, including cellular and animal studies, have demonstrated that the traditional Chinese medicine Sophora japonica can inhibit renal interstitial fibrosis, making it a potential drug for clinical application and bringing greater benefits to patients with kidney disease.

The invention discloses a risk assessment method and assessment system for a chronic kidney disease patient, and belongs to the technical field of electrical digital data processing, and the method comprises the following steps: obtaining a risk assessment model based on proportional risk regression analysis; obtaining the weight of a first index according to the risk assessment model; obtaining a joint index according to the first index and the weight thereof; and performing risk assessment on the chronic kidney disease patient through the joint index to obtain a risk state. On the basis of proportional risk regression analysis, a risk assessment model is constructed, a combined index is independent from the risk assessment model, and the combined index is an independent and robust prognosis index with clinical increment value, can be used for risk assessment of chronic kidney disease patients, can also be used as a construction index of a prediction model, shows increment prediction value, and has a good application prospect. And the defect of traditional clinical indexes in risk identification is overcome.

The invention discloses a construction and application method and device of a chronic kidney disease patient vulnerability risk prediction model, and relates to the technical field of data processing, and the construction method comprises the steps: obtaining a public sample set; the public sample set comprises basic characteristics of a plurality of subjects and corresponding fragile state results; the subjects comprise chronic kidney disease patients; training a plurality of machine learning models based on the public sample set, determining a machine learning model with optimal model performance, and obtaining an optimal machine learning model; based on the optimal machine learning model, determining key features in the basic features of the subject by applying a recursive feature elimination method; retraining the optimal machine learning model based on the key features and the corresponding fragile state results to obtain a target machine learning model; the target machine learning model is used for predicting the vulnerability risk of the chronic kidney disease patient. According to the invention, accurate prediction of the vulnerability risk of the chronic kidney disease patient is realized.

The application relates to the technical field of rehabilitation exercise, and provides an anti-resistance exercise device for chronic kidney disease patients, which comprises a base and an exercise mechanism. Lifting exercise can be carried out by holding the lifting rod and sliding the lifting rod up and down through upper limbs; when the weight of the lifting needs to be adjusted, two groups of baffle plates are driven to slide through the first driving assembly, the two groups of baffle plates slide to shield the through holes; at this time, when the lifting rod moves upward, the lifting rod drives a plurality of first springs to move upward through the mounting plate, the plurality of first springs move upward to make the first spring corresponding to the shielded through hole abut against the baffle plate; at this time, the force required when the lifting rod moves upward can be increased, and the number of the first springs abutting against the two groups of baffle plates can be changed by controlling the sliding of the two groups of baffle plates to change the number of the shielded through holes, so that the weight of the lifting can be changed according to the requirements of the patients, the weight of the lifting is conveniently changed, the first springs do not need to be assembled and disassembled, and the safety of the device in use is improved.

The present application relates to the technical field of drug management, and discloses a kind of chronic kidney disease patient whole-course drug therapy wisdom management method and system, comprising: obtaining the electronic medical record of patient by the personal information of patient;Initial drug regimen is obtained based on electronic medical record and sent to medication decision unit, and final drug regimen is obtained based on medication decision unit, after confirming that drug code and drug quantity are consistent with drug code and drug quantity in final drug regimen, unit warehouse hash value is obtained using drug code, drug quantity and medication decision unit, drug reminder is generated according to final drug regimen, medication record is obtained using patient use port, and reconsultation reminder is obtained according to medication record, after sending the reconsultation reminder to patient use port and data storage unit, complete chronic kidney disease drug whole-process management.The present application can complete the drug management of chronic kidney disease patient and track medicine.

The invention provides a chronic kidney disease patient health management system and a use method, the chronic kidney disease patient health management system comprises a remote monitoring server, portable acquisition terminals and a medical care terminal, wireless communication modules are arranged in the remote monitoring server, the portable acquisition terminals and the medical care terminal, and a processing module and a plurality of acquisition devices are arranged in each portable acquisition terminal. The acquisition device used for acquiring various physiological status information of a patient is connected with the processing module which is connected with the remote monitoring server. The remote monitoring server is used for analyzing various physiological state information and generating kidney disease assessment results of the corresponding patients and is connected with the medical care terminal used for generating diagnosis and treatment plans according to the kidney disease assessment results. The problems that in the prior art, the chronic kidney disease of the patient is mostly judged manually, so that an accurate processing result report cannot be obtained, the physiological state of the patient cannot be observed anytime and anywhere, and the optimal diagnosis and treatment time is missed are solved.

The invention relates to the field of drug therapy management, in particular to a whole-course drug therapy management method and system based on a chronic kidney disease patient, and the method comprises the steps: reading a kidney disease patient data set from a pre-constructed hospital database based on a patient ID, sending a pre-constructed medical intelligent medicine box to a patient address, the method comprises the following steps of: acquiring medicine taking compliance and settlement medicine boxes by using a medicine arrangement sequence and operation medicine boxes, calculating medicine inadequacy by using patient age, patient weight, an adverse reaction set and a patient management database, calculating state recovery degree by using basic body indexes, diagnosis body indexes, updated basic index sets and updated diagnosis indexes, and updating average indexes; and calculating a treatment success index according to the medicine taking compliance, the medicine inappropriate degree and the state recovery degree until the medicine treatment time is longer than the preset whole-course treatment time, and completing whole-course medicine treatment management on the chronic kidney disease patient. The accuracy and the automation degree of whole-course drug treatment management can be improved, and the burden of human resources of hospitals is relieved.

The invention discloses a kidney disease patient diet intelligent recommendation method based on a knowledge graph, and relates to the technical field of medical health data processing and intelligent recommendation. The method comprises the following steps: constructing a food knowledge graph, constraining a semantic relationship among food, nutritional ingredients, patient states and diet rules by ontology, and solidifying nutritional attribute interval values and credibility parameters at food nodes; generating an individualized nutrition threshold vector based on the state of the patient, executing interval nutrition summarization on the candidate dietary scheme to obtain a nutrition upper bound vector, calculating a nutrition risk upper bound, and implementing safety gating with the nutrition risk upper bound being not greater than zero; carrying out directional repair on a gating failure scheme by replacing retrieval with a dominant nutrient-driven atlas; outputting an evidence chain carrying the source identifier, the credibility parameter and the version identifier; and in the feedback updating stage, a safety non-degradation constraint is applied, and collaborative rollback and cooling control is triggered, so that the recommendation safety, interpretability and continuous iteration controllability are improved.

The embodiment of the invention provides a state evaluation system of a chronic kidney disease patient and a training method of a state detection model. The state evaluation system for the chronic kidney disease patient comprises a data acquisition device used for acquiring target medical data of a target object and inputting the target medical data into a pre-trained state detection model, and the target medical data comprises treatment data of hemodialysis treatment of the target object; the state detection model is used for outputting a target risk level corresponding to the target object according to the target medical data, and a training sample of the state detection model comprises sample medical data of a sample object and a sample risk level corresponding to the sample object; the rehabilitation information determining device is used for determining target auxiliary rehabilitation information corresponding to the target risk level; the rehabilitation information pushing device is used for pushing the target auxiliary rehabilitation information corresponding to the target risk level to the target object and / or the medical staff, and the accuracy of state evaluation of the chronic kidney disease patient is improved.

This invention relates to the field of traditional Chinese medicine, specifically to a traditional Chinese medicine composition for treating diabetic nephropathy, its preparation method, and its application. The traditional Chinese medicine composition of this invention consists of the following raw materials in parts by weight: 10-60 parts of raw Astragalus membranaceus, 5-30 parts of Polygonatum sibiricum, 5-30 parts of Dioscorea opposita, 5-30 parts of Cornus officinalis, 3-15 parts of Coptis chinensis, 5-30 parts of Euonymus alatus, 5-30 parts of Arctium lappa, and 3-15 parts of Hirudo medicinalis. This invention optimizes the selection of raw materials and their compatibility, focusing on strengthening the spleen and replenishing the middle jiao, invigorating the spleen and benefiting the kidneys, strengthening the spleen and consolidating the kidneys, clearing heat and detoxifying, fully utilizing the synergistic therapeutic characteristics of traditional Chinese medicine with multiple components, pathways, and targets, and can significantly improve the clinical healing of patients with diabetic nephropathy. Preliminary small-scale clinical observations have found that the spleen-strengthening, kidney-benefiting, and heat-clearing formula can effectively improve the clinical symptoms and TCM syndromes of patients with diabetic nephropathy, reduce UACR values, and has good potential for widespread application.

The application discloses a kind of chronic kidney disease patient diet intelligent recommendation method and related equipment, it is related to health management field, the method includes: the multi-source health data of target patient is collected;Based on the multi-source health data described above, medical rule matching is executed, and the fusion chronic kidney disease stage of patient is mapped to nutrient permissible amount calculation model with each test value, to generate phase nutrition constraint parameter;Based on patient complication information, construct multi-disease constraint model, when detecting diabetes, hypertension or hyperuricemia complication, corresponding restriction rule is superimposed to form multidimensional constraint set;Under the premise that the above nutrition constraint parameter and multidimensional constraint set are satisfied, personalized recommendation algorithm is executed in combination with patient diet preference, generates dynamic diet scheme and outputs recipe result.The present application improves the medical precision and real-time of CKD diet guidance, and also improves the clinical safety of patient diet.

The present application belongs to the technical field of biological medicine, and particularly relates to the use of a secreted lactase-like protein (LCTL) as a diagnostic marker in the preparation of a chronic kidney disease diagnostic kit. The present application first discovers that LCTL exists in a secreted form, first detects the content of secreted LCTL in human serum by using an existing commercial ELISA kit, further research finds that the content of secreted LCTL in serum of patients with chronic kidney disease is significantly lower than that of normal people, and the content of LCTL in serum is significantly related to the degree of kidney function damage and the degree of proteinuria of patients, and therefore the use of secreted LCTL in the preparation of a biomarker for the diagnosis of chronic kidney disease is first proposed. The present application provides a new method for the diagnosis of chronic kidney disease, and has great clinical significance and commercial value.

The present invention relates to the substance sebparin or a pharmaceutically acceptable salt thereof for use in the treatment of subjects with chronic kidney disease (CKD), which may also include anemia. This therapy may also be useful as a combination therapy with standard of care (SOC) therapies, such as erythropoiesis-stimulating agents (ESAs) or HIF prolyl hydroxylase inhibitors.