122 results about "Acute pancreatitis" patented technology

The invention discloses an acute pancreatitis complication assessment method based on artificial intelligence, and belongs to the technical field of medical information, and the method specifically comprises the steps: firstly, obtaining a clinical data set containing real-time clinical indexes and basic disease historical records; performing time sequence analysis on the historical records of the basic diseases, extracting long-term influence characteristics of the historical records of the basic diseases and generating basic disease influence factors; carrying out standardization processing on the real-time clinical indexes and the basic disease influence factors, and generating a comprehensive feature vector after calculating association weights among features; inputting the vector into a trained artificial intelligence evaluation model, and outputting a complication risk probability through layer-by-layer nonlinear transformation; and finally, mapping the risk probability value into a risk level, and integrating patient information to generate a structured risk assessment report. And an acute pancreatitis complication evaluation scheme integrating the acute stage index and the chronic basic disease influence is established.

The invention relates to the technical field of data analysis, in particular to a method for constructing an acute pancreatitis severity prediction model based on a liquid neural network, which comprises the following steps: firstly, extracting and preprocessing patient data, and then dividing AP patients into a severe AP group and a mild AP group; screening two groups of characteristic indexes with differences through nonparametric test analysis to carry out machine learning modeling in the next step; in order to prevent overfitting, five-fold cross check is adopted to train the model, and optimal feature combinations under respective machine learning models (a liquid neural network, a decision tree, a random forest, Logistic regression and an XGBoost algorithm) are obtained by drawing AUC values under an ROC curve for comparison. The method comprises the following steps: firstly, training a liquid neural network model, then verifying verification data by using respective optimal prediction models obtained by training, and finally, analyzing influence weights of different features in the liquid neural network model through SHAP visualization and carrying out visualization so as to provide visual prediction reference for users such as doctors and the like.

The invention belongs to the technical field of medicines, and particularly relates to a pirfenidone eutectic crystal and a preparation method, a pharmaceutical composition and application thereof. The pirfenidone eutectic provided by the invention is prepared from pirfenidone and a eutectic ligand, and the eutectic ligand is selected from one of pimelic acid, cinnamic acid and saccharin. The pirfenidone eutectic crystal provided by the invention not only can improve the acute pancreatitis relieving effect of pirfenidone, but also can improve the safety of pirfenidone.

The invention provides an Akkermann Amuc1100 protein mutant as well as a preparation method and application thereof, wild Akkermann Amuc1100 protein is subjected to mutation modification through a molecular biological technical means, and the bioactivity of the Amuc1100 protein mutant subjected to molecular modification is obviously improved compared with that of the wild protein; compared with a wild type Amuc1100 protein, the wild type Amuc1100 protein has a better effect when being applied to the aspects of regulating intestinal immunity, relieving acute pancreatitis, promoting browning of white adipose cells, inhibiting obesity, relieving ulcerative colitis and the like, and a very good application prospect is provided for developing bioactive medicines with higher efficiency.

The invention discloses a trypsinogen-2 detection method and kit based on a homogeneous light-excited chemiluminescence immunoassay technology, and belongs to the technical field of immunodetection analysis. The method provided by the invention comprises the following steps: preparing donor microspheres and receptor microspheres coupled with a trypsinogen-2 capture antibody, adding the coupled donor microspheres and receptor microspheres into a sample to be detected, uniformly mixing and incubating without cleaning, and finally detecting by using a fluorescence detector. The kit comprises donor microspheres coupled with a trypsinogen-2 capture antibody, receptor microspheres coupled with a trypsinogen-2 detection antibody, a trypsinogen-2 standard substance solution and an analysis buffer solution. The trypsinogen-2 content in a sample to be detected can be rapidly detected by using the characteristics of a double-antibody sandwich immunoassay and light-activated chemiluminescence, and the trypsinogen-2 detection kit has the characteristics of wide detection range, high sensitivity, high accuracy, rapid and simple detection and the like, can be used for early auxiliary diagnosis of acute pancreatitis clinically, and has a relatively good application prospect.

The invention discloses a DKA combined AP risk prediction model based on multi-index fusion, a medium and equipment, and relates to the technical field of medical health and artificial intelligence, and the risk prediction model comprises a preprocessing unit which is used for carrying out the standardization processing of basic data and clinical data of a diabetic ketoacidosis patient, the clinical data comprises stomachache symptoms, C reactive protein level and serum lipase level; the screening unit is used for screening the basic data according to an exclusion mechanism; the data integration unit is used for obtaining the probability of occurrence of DKA and AP events by combining the following formula according to the screening result: Q = 1 / (1 + e-(beta0 + beta1 * stomachache + beta2 * CRP + beta3 * LPS)); and the output unit is used for outputting the probability calculated by the data integration unit as a result. Under the emergency treatment scene, the risk of acute pancreatitis complicated by the diabetic ketoacidosis patient can be rapidly evaluated, and a good preposed basis is provided for clinical decision making.

The invention discloses a pancreatitis severity assessment method based on layered reliable evidence fusion, which comprises the following steps of: constructing a layered reliable evidence fusion model, and sequentially executing three stages of multi-view evidence generation, opinion mapping and opinion fusion: generating an image based on image and clinical data, and clinical and pseudo-view evidence, mapping the opinions into subjective logic opinions containing belief quality and uncertainty, and finally fusing all the opinions by using a logarithmic opinion pool fusion algorithm to generate final fused opinions; then training the layered reliable evidence fusion model based on the training set; then testing, and evaluating the acute pancreatitis severity degree of the patient corresponding to the test sample according to the belief quality of each category in the final fusion suggestion corresponding to the test sample; the method has the advantages that multi-source information can be effectively coordinated, evidence conflicts are converted into uncertainty, an accurate and reliable severity degree evaluation result is output according to belief quality in fused opinions, and powerful support is provided for clinical decision making.

The invention discloses an integrated monitoring system for bladder pressure information, which is used for monitoring bladder pressure changes of patients with acute pancreatitis and severe acute pancreatitis and predicting disease progression through dynamic analysis. The system comprises a bladder pressure monitoring device, a data transmission module, a data analysis and early warning system and an integrated monitoring platform. The bladder pressure monitoring device adopts a high-precision pressure sensor, measures the pressure in the bladder in real time through a catheter, and transmits data to the data analysis system through a wireless network. The data analysis system calculates a disease risk score through a regression model based on multi-dimensional data such as a bladder pressure value, a change rate and an acceleration, and provides early warning and treatment decision support for doctors. The integrated monitoring platform displays real-time bladder pressure data and risk assessment, and helps doctors to master patient condition changes. Compared with the prior art, the bladder pressure monitoring system has the advantages that the functions of continuous dynamic monitoring, accurate risk prediction and real-time early warning are provided, and the accuracy and timeliness of bladder pressure monitoring are effectively improved.

The invention relates to the technical field of medical auxiliary instruments, in particular to a rehabilitation auxiliary device for patients with severe acute pancreatitis, which comprises a device main body, a support adjusting module and a nursing auxiliary module are mounted on the device main body, and a main driving unit is mounted in the device main body. The support adjusting module comprises a trunk support, an abdomen support and a lower limb support which are hinged in sequence, and monitoring assemblies are mounted on the trunk support, the abdomen support and the lower limb support; the main driving unit is in signal connection with a control module, and the control module is used for controlling the main driving unit to perform independent or cooperative angle adjustment on the supporting adjustment module according to the real-time state data of the monitoring assembly; the nursing auxiliary module comprises a flow guide cleaning structure which is detachable from the supporting and adjusting module, the flow guide cleaning structure is used for directionally guiding nursing waste liquid, and the flow guide cleaning structure is automatically unfolded or folded according to the body position change of the supporting and adjusting module. Through multi-module linkage and intelligent control, the risks of abdomen compression, pressure sores, lower limb venous thrombosis and the like are effectively avoided.

The invention relates to the technical field of doctor-patient communication, in particular to an acute pancreatitis doctor-patient communication risk management system based on interactive data analysis, which comprises a patient condition dynamic database, a condition deterioration prediction module, a communication closeness evaluation module and a resource dynamic allocation module, the storage module is used for storing patient physiological indexes, behavior data and medical records; the condition deterioration prediction module is used for predicting the condition deterioration probability of a patient, identifying a high-risk time period and guiding resource pre-allocation; the communication closeness evaluation module is used for quantifying the communication demand closeness between the patient and the medical team and generating a patient priority; and the resource dynamic allocation module is used for automatically allocating resources according to the predicted deterioration probability and the patient priority.

Disclosed herein is the use of a catheter for isolating a region within a hollow organ of a mammal for the treatment of esophageal or enteric hemorrhage, for the treatment of esophageal wall fistula or perforation, for the treatment of intestinal wall fistula or perforation, for the treatment, severity assessment, prognosis and monitoring of acute pancreatitis, and for the treatment, severity assessment, prognosis and monitoring of acute pancreatitis. And for the treatment of intestinal wall injury. The used catheter at least comprises a body in a long and thin shape; the two inflatable balloons are arranged along the body; the functional channel extends in the body and comprises a functional opening formed in the portion, between the balloons, of the body; the second channel extends in the body, an inlet and an outlet are formed in the two ends of the second channel respectively, and the inlet and the outlet are both formed in the portion, defined by the balloon, of the body in the external area of the isolated organ.

The application belongs to the technical field of medicine, and relates to a compound composition, a preparation method and application, in particular to a compound sodium salicylate composition for treating acute pancreatitis and a preparation method. The compound sodium salicylate composition comprises quercetin, diammonium glycyrrhizinate and sodium salicylate, wherein the mass ratio of quercetin, diammonium glycyrrhizinate and sodium salicylate is 1-5:5-20:50-200. When the compound sodium salicylate composition is an injection, it comprises quercetin, diammonium glycyrrhizinate, sodium salicylate, 1,2-propanediol, sodium bisulfite, dimethyl sulfoxide and 0.9% sodium chloride injection. The volume ratio of 1,2-propanediol and dimethyl sulfoxide in the injection is 14-20% and 0.25-1% respectively; and the mass / volume ratio of sodium bisulfite in the injection is 0.1-0.3%. The compound sodium salicylate composition can significantly reduce amylase, lipase, IL-6 and IL-1beta, and can be used for preparing a medicine for treating pancreatitis.

The invention provides a marker combination for predicting severe acute pancreatitis and application thereof. Specifically, the invention provides application of a gene, mRNA, cDNA and protein of a risk marker for judging severe acute pancreatitis or a detection reagent of the gene, the mRNA, the cDNA and the protein, and the gene, the mRNA, the cDNA and the protein are used for preparing / establishing a diagnostic reagent or a kit / equipment for judging the occurrence risk of severe acute pancreatitis. Researches show that the severe acute pancreatitis risk marker can be used as a marker for early judgment of whether acute pancreatitis patients develop into severe acute pancreatitis, has high sensitivity and specificity, can quickly diagnose severe acute pancreatitis at a relatively early disease progress stage, and provides powerful assistance for early treatment intervention of diseases.

The invention provides an acute pancreatitis intestinal micro-ecological marker and application thereof, and belongs to the technical field of disease diagnosis. According to the method, 20 intestinal microbe markers with differential expression are screened based on samples of acute pancreatitis patients and healthy people, an acute pancreatitis prediction model is constructed by adopting a random forest model, and results show that the method has relatively high prediction accuracy, and the AUC value is 0.98. The acute pancreatitis intestinal micro-ecological marker and the constructed prediction model thereof can be used for early diagnosis of clinical acute pancreatitis.

The invention discloses a si-TGM2-loaded macrophage targeting nano-material as well as a preparation method and application thereof, relates to the technical field of biological targeting, and aims at solving the problem that a macrophage targeting nano-drug for inhibiting severe acute pancreatitis aiming at a TGM2 target is lacked in the prior art. The technical key points of the invention are as follows: the si-TGM2-loaded macrophage targeting nano material is provided, the si-TGM2-loaded macrophage targeting nano material is a lactoferrin modified cationic lipid nucleic acid drug, and the cationic lipid nucleic acid drug is prepared by coating si-TGM2 as shown in SEQ.ID. NO.1 with a cationic liposome. The si-TGM2-loaded macrophage targeting nanometer material disclosed by the invention has a wide application prospect in preparation of an acute pancreatitis diagnostic kit and a medicine.

The invention relates to the technical field of medical data processing, in particular to a multi-modal data fusion diabetes risk prediction system after acute pancreatitis, and the method comprises the steps: obtaining the feature data and treatment indexes of each dimension of a target patient and a plurality of reference patients after acute pancreatitis; obtaining a weighted similarity index according to the difference between the feature data of the target patient and the feature data of each reference patient in the same dimension; according to the treatment index of each reference patient and the distribution difference of the overall reference patients, a boundary feature length is obtained in combination with weighted similar indexes; fitting the treatment indexes of the reference patients whose diagnosis time lengths are greater than the demarcation characteristic length and less than or equal to the demarcation characteristic length respectively to obtain a pancreas islet compensation function curve; and obtaining a diabetes risk prediction result of the target patient according to a deviation condition between the treatment index of the target patient and the pancreas islet compensation function curve. According to the invention, the accuracy of the risk prediction result of the patient in the compensatory state is good.

The invention discloses a Chinese medicine suppository for treating acute pancreatitis and a preparation method thereof, and belongs to the field of traditional Chinese medicine. The Chinese medicine suppository comprises the following raw materials in parts by weight: 28-35 parts of rhubarb, 28-32 parts of knotweed, 5-12 parts of senna, 5-15 parts of dandelion, 5-12 parts of radix scutellariae, 5-12 parts of radix scutellariae, 5-15 parts of scutellariae, 5-15 parts of scutellariae, 5-15 parts of borneol and 1-2 parts of borneol. Animal experiments and clinical practice confirm that the Chinese medicine suppository prepared by the present invention can significantly alleviate the clinical symptoms and serum indicators of patients with acute pancreatitis, provide new therapeutic drugs and selections for treating acute pancreatitis, and have the value of extensive promotion and application.

The invention provides an application of a cordycepin metabolite in preparation of a medicine for treating acute pancreatitis, and the cordycepin metabolite is 2, 3-dihydroxybenzoic acid. The application of the cordycepin metabolite in preparation of the medicine for treating acute pancreatitis provides a new thought for treatment of pancreatitis, opens up a new way for global treatment of acute pancreatitis, and is expected to fundamentally improve the living quality and survival rate of patients; besides, 2, 3-dihydroxy benzoic acid is used as a metabolite of cordycepin, is derived from a natural substance, has relatively high safety and tolerance, possibly has fewer side effects compared with a traditional treatment method, and is more attractive in clinical application.

The invention discloses an acute pancreatitis early stage grading prediction method comprising the following steps: S1, collecting CT image data of AP patients with different clinical conditions and different equipment sources, and carrying out resampling standardization processing; s2, inputting the CT image into the trained and optimized nnU-Net model, automatically segmenting a pancreas region, and generating a pancreas segmentation mask; s3, extracting multi-dimensional image features by using a radiomics tool, and screening out key prediction features by using a feature screening algorithm; and S4, inputting the screened key prediction features into a pre-trained machine learning model, and outputting a risk prediction result of the patient and a corresponding evaluation index. A pancreas area is automatically segmented by an nnU-Net model, multi-dimensional image features are extracted from a CT image corresponding to a pancreas segmentation mask by using a radiomics tool, objectivity and consistency of feature extraction are ensured, key prediction features are screened out by using a feature screening algorithm, a scientific basis is provided for early recognition and risk assessment of SAP, clinical decision is assisted, and the risk assessment efficiency is improved. The survival rate of the patient is improved.

Provided are a method and a reagent kit for diagnosing pancreatitis in canids, which can rapidly assist in diagnosing the possibility of pancreatitis in canids or assist in discriminating the severity of acute pancreatitis in canids by detecting the concentration of a specific biomarker in a specimen, and the use of acylcarnitine in the diagnosis of pancreatitis in canids. 【Means for solving the problem】 First, a specimen of a canid is provided. Then, the concentration of a biomarker in the specimen is detected. If the concentration is higher than a predetermined value, it is determined that the canid has a high risk of pancreatitis, and the biomarker refers to medium-chain acylcarnitine, long-chain acylcarnitine, or a combination thereof. The medium-chain acyl refers to those having a chain length of 6 to 12 carbon atoms, and the long-chain acyl refers to those having a chain length exceeding 12 carbon atoms.

The application relates to the technical field of medical artificial intelligence, and particularly discloses an acute pancreatitis chronicity risk prediction system and method and a storage medium, the system comprises a parameter acquisition module, a model training module, a risk prediction module, a risk stratification module, an AI analysis module and an interface interaction module, the parameter acquisition module is used for acquiring clinical parameters and enhanced variables of a target patient; the model training module is used for constructing a risk prediction model and an enhanced risk prediction model; the risk prediction module is used for predicting a prediction risk probability of the target patient in chronic pancreatitis after being discharged from hospital; the risk stratification module is used for dividing the target patient into a low-risk group, a medium-risk group or a high-risk group, and generating a risk stratification result; the AI analysis module is used for generating a clinical interpretation report; and the interface interaction module is used for displaying the prediction risk probability, the risk stratification result and the clinical interpretation report, so that high-risk patients with chronic pancreatitis can be effectively identified at an early stage, and a personalized follow-up scheme can be assisted in being formulated.

The application discloses an acute pancreatitis complication evaluation method based on artificial intelligence and belongs to the medical information technology field, and specifically comprises the following steps: firstly, a clinical data set containing real-time clinical indexes and basic disease history records is acquired; subsequently, time series analysis is performed on the basic disease history records, long-term influence features are extracted, and basic disease influence factors are generated; then, the real-time clinical indexes and the basic disease influence factors are subjected to standardization treatment, a comprehensive feature vector is generated after the correlation weight between features is calculated; then, the vector is input into a trained artificial intelligence evaluation model, a complication risk probability is output through layer-by-layer nonlinear transformation; finally, the risk probability value is mapped into a risk grade, patient information is integrated to generate a structured risk evaluation report; and an acute pancreatitis complication evaluation scheme fusing acute phase indexes and chronic basic disease influences is established.

The present invention provides the use of pyruvate in the treatment of lipodystrophy syndrome, belonging to the technical field of endocrine and metabolic disease treatment. This invention proposes for the first time the use of pyruvate, such as sodium pyruvate and potassium pyruvate, in the treatment of lipodystrophy syndrome. It has been found that pyruvate can restore atrophic adipose tissue and improve the progression of diabetic complications and acute pancreatitis associated with hypertriglyceridemia, thereby increasing patient survival and improving overall prognosis.

The invention relates to an anti-S100A8 / A9 monoclonal antibody for treating severe acute pancreatitis and application of the anti-S100A8 / A9 monoclonal antibody. Specifically, the invention provides a nano antibody combined with dimers of S100A8 and S100A9 or an antigen binding fragment of the nano antibody, and provides application of the nano antibody or the antigen binding fragment in treatment of pancreatitis. Meanwhile, the invention also provides an application of the antibody combined with the dimers of the S100A8 and the S100A9 or the antigen binding fragment of the antibody in treatment of pancreatitis. The antibody provided by the invention has a good treatment effect on severe acute pancreatitis, and has important clinical significance and development value.

The invention relates to the technical field of puncture path planning, in particular to a puncture path planning method for abdominal puncture drainage of severe acute pancreatitis. Firstly, a CT image and an MRI image are fused to construct an abdominal cavity three-dimensional model, tissue areas (an organ area, a blood vessel area and a focus area) are obtained through segmentation, and candidate paths are generated based on a target position and a preset body surface approach point; then, calculating a risk coefficient based on geometric features (including an included angle, a length and proximity to a tissue region) of the candidate path, and screening a preliminary optimal path; determining a puncture body position and a gravity component direction by combining a sagittal plane / coronal plane position relationship, analyzing tissue density distribution, and quantifying a tissue deformation interference index; finally, the risk coefficient and the deformation index are fused, re-screening of the paths is achieved, the optimal and alternative paths are determined, and therefore key tissue structures can be effectively avoided, the intraoperative displacement risk is reduced, and puncture accuracy and stability are improved.

The invention provides an application of a succinylation modified protein in preparation of a product for diagnosing or treating acute pancreatitis. The succinylation modified protein comprises SUCLA2 which is subjected to succinylation modification on 118th lysine and Cyc1 which is subjected to succinylation modification on the 118th lysine. A new thought is provided for diagnosis and / or treatment of acute pancreatitis, and targeted drugs capable of accurately diagnosing and / or treating acute pancreatitis can be developed conveniently.

The application belongs to the technical field of medicines, and particularly relates to a pirfenidone co-crystal, a preparation method thereof, a pharmaceutical composition and application. The pirfenidone co-crystal is prepared from pirfenidone and a co-crystal ligand, and the co-crystal ligand is selected from one of heptanedioic acid, cinnamic acid and saccharin. The pirfenidone co-crystal can not only improve the effect of pirfenidone in relieving acute pancreatitis, but also improve the safety of pirfenidone.

This invention discloses the application of rhubarb-derived exosome-like nanovesicles in the preparation of a drug for treating acute respiratory distress syndrome (ARDS) induced by severe acute pancreatitis, belonging to the field of nanomedicine technology. This invention is the first to propose the application of rhubarb-derived exosome-like nanovesicles in the preparation of a drug for treating ARDS induced by severe acute pancreatitis, providing a new method for treating ARDS and expanding the application of rhubarb-derived exosome-like nanovesicles in the pharmaceutical field. This invention is also the first to propose using rhubarb-derived exosome-like nanovesicles as the active ingredient in a pharmaceutical composition for treating ARDS induced by severe acute pancreatitis.

The invention discloses an internal reference tissue correction method and system for virtual magnetic resonance elastography of acute pancreatitis, relates to the technical field of medical image processing and quantitative evaluation, and discloses the internal reference tissue correction method and system for virtual magnetic resonance elastography of acute pancreatitis. According to the method, the problems of numerical discreteness and deviation in virtual magnetic resonance elastography of acute pancreatitis are solved by automatically identifying internal reference tissues, calculating correction coefficients, correcting elasticity values in a partitioned manner and generating a structured report, and the repeatability of pancreatic hardness measurement and cross-equipment and cross-time-point data comparability can be improved.

This invention relates to the field of medical data processing technology, specifically to a multimodal data fusion system for predicting diabetes risk after acute pancreatitis. The system includes: acquiring feature data and treatment indices for each dimension of the target patient and several reference patients after acute pancreatitis; obtaining a weighted similarity index based on the differences in feature data between the target patient and each reference patient in the same dimension; obtaining a cutoff feature length based on the treatment index of each reference patient and the overall distribution differences of the reference patients, combined with the weighted similarity index; fitting the treatment indices of reference patients whose diagnosis time is greater than or less than or equal to the cutoff feature length to obtain pancreatic islet compensation function curves; and obtaining the diabetes risk prediction result for the target patient based on the deviation between the target patient's treatment index and the pancreatic islet compensation function curves. This invention shows better accuracy in predicting the risk of patients in a compensated state.