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73 results about "Kawasaki disease" patented technology

A rare disease that affects the blood vessels.

5-thia-omega-substituted phenyl-prostaglandin E derivatives, process for producing the same and drugs containing the same as the active ingredient

The present invention relates to 5-thia-omega-substituted phenylprostaglandin E derivatives of the formula (I)(wherein, all the symbols are as defined in the specification), process for producing them and pharmaceutical compositions comprising them as active ingredient.The compounds of the formula (I) can bind to PGE2 receptors (especially, subtype EP4) strongly, so they are expected to be useful for prevention and/or treatment of immunological diseases (autoimmune diseases such as amyotrophic lateral sclerosis (ALS), multiple sclerosis, Sjoegren's syndrome, chronic rheumarthrosis and systemic lupus erythematosus etc., and rejection after organ transplantation etc.), asthma, abnormal bone formation, neuronal cell death, lung failure, liver damage, acute hepatitis, nephritis, renal insufficiency, hypertension, myocardiac ischemia, systemic inflammatory response syndrome, ambustion pain, sepsis, hemophagous syndrome, macrophage activation syndrome, Still's disease, Kawasaki disease, burn, systemic granulomatosis, ulcerative colitis, Crohn's disease, hypercytokinemia at dialysis, multiple organ failure, and shock etc. Further, it is thought that EP4 subtype receptor relates to sleeping disorder and blood platelet aggregation, so the compounds of the present invention are expected to be useful for the prevention and/or treatment of such diseases.
Owner:ONO PHARMA CO LTD

8-azaprostaglandin derivatives and medical use thereof

The pharmaceutical composition comprising the compound of the invention having 8-azaprostaglandin skeleton represented by formula (I)(wherein, all the symbols have the same meanings as that of the specification) a salt thereof, a solvate thereof or a cyclodextrin clathrate thereof, or a prodrug thereof and them as active ingredient have EP4 agonistic action and thus are considered useful for the prevention and / or treatment of immunological diseases, asthma, neuronal cell death, arthritis, lung failure, pulmonary fibrosis, pulmonary emphysema, bronchitis, chronic obstructive pulmonary disease, liver damage, acute hepatitis, nephritis, renal insufficiency, hypertension, myocardial ischemia, systemic inflammatory response syndrome, sepsis, hemophagous syndrome, macrophage activation syndrome, Still's disease, Kawasaki disease, burn, systemic granulomatosis, ulcerative colitis, Crohn's disease, hypercytokinemia at dialysis, multiple organ failure, shock and glaucoma, etc. Furthermore, the compounds also have an action of accelerating bone formation, so it is expected to be useful for the prevention and / or treatment of diseases associated with loss in bone mass, for example, primary osteoporosis, secondary osteoporosis, bone metastasis of cancer, hypercalcemia, Paget's disease, bone loss, osteonecrosis, bone formation after bone operation, alternative treatment for bone grafting.
Owner:ONO PHARMA CO LTD

Boosting algorithm-based construction method and construction system of Kawasaki disease risk assessment model

ActiveCN109273094APrevent overfittingScientific and effective preventionMedical simulationMedical data miningDiseaseData set
The invention discloses a boosting algorithm-based construction method and construction system of a Kawasaki disease risk assessment model. The construction method includes the following steps that: valid samples that can be used for modeling assessment are extracted from a sample data set; 10 features that meet on-site medical auxiliary diagnosis application are selected from the feature set of the valid sample; the incomplete data set of the valid samples is randomly divided into a training set and a verification set; a boosting method is adopted to fit the training set, so as to perform model construction, and a ten-fold cross-validation method is adopted to record optimal model parameters; and the verification set is adopted to calculate a model classification threshold t according toan ROC curve, and therefore, the Kawasaki disease risk assessment model is constructed. The invention also provides a corresponding Kawasaki disease risk assessment system for assessing data to be assessed so as to obtain a KDx score. With the system and method of the invention adopted, the rate of misdiagnosis and the rate of missed diagnosis of the Kawasaki disease can be decreased, and patientscan obtain effective prevention, intervention and treatment in the early stage of the disease.
Owner:DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD

Construction method and construction system for Kawasaki disease risk assessment model based on neural network algorithm

The invention discloses a construction method and a construction system for a Kawasaki disease risk assessment model based on a neural network algorithm. The construction method comprises the steps: extracting valid samples which can be used for modeling and assessment from a sample data set; selecting ten features meeting field medical auxiliary diagnostic application from the feature set of thevalid samples; randomly dividing the incomplete data set of the valid samples into a training set and a validation set; fitting the training set by using the neural network method to construct the model and recording the optimal model parameters by using the ten-fold cross-validation method; and calculating the model classification threshold t by using the validation set according to the ROC curveso as to construct the Kawasaki disease risk assessment model. The corresponding Kawasaki disease risk assessment system is also constructed to be applied to assessment of the data to be assessed soas to obtain the KDx score. The misdiagnosis rate and the missed diagnosis rate of the Kawasaki disease can be reduced so that the patients can obtain effective prevention, intervention and treatmentin the early stage of the disease.
Owner:DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD

Logistic algorithm-based construction method of Kawasaki disease risk assessment model and construction system

The invention discloses a logistic algorithm-based construction method of a Kawasaki disease risk assessment model and a construction system. The construction method includes the following steps that:valid samples that can be used for modeling evaluation are extracted from a sample data set; 10 features that meet on-site medical assistance diagnosis are screened out from the feature set of the valid samples; the incomplete data set of the valid samples is randomly divided into a training set and a verification set; a logistic method is adopted to fit the training set, so that model construction can be performed, a cross-validation method is adopted to adjust a fitting function, optimal model parameters are recorded; and the verification set is adopted to calculate a model classification threshold t according to an ROC curve, and therefore, the Kawasaki disease risk assessment model can be constructed. According to the invention, a corresponding Kawasaki disease risk assessment systemfor evaluating data to be evaluated is constructed, so that a KDx score is obtained. With the method and system of the invention adopted, the reduction of the misdiagnosis and missed diagnosis of Kawasaki disease can be benefitted, and patients can obtain effective prevention, intervention and treatment in the early stage of the disease.
Owner:DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD

Construction method and construction system of Kawasaki disease risk assessment model

The invention discloses a construction method and construction system of a Kawasaki disease risk assessment model. The construction method includes the following steps that: valid samples that can beused for modeling evaluation are extracted from a sample data set; 10 features that meet on-site medical auxiliary diagnosis application are extracted from the feature set of the valid samples; the incomplete data set of the valid samples is randomly divided into a training set and a verification set; a random forest method is used to fit the training set so as to perform model construction, and optimal model parameters are recorded according to out-of-bag error; and a model classification threshold t is calculated with the verification set according to an ROC curve, so that the Kawasaki disease risk assessment model can be constructed. The assessment model constructed by using the construction method and construction system of the invention can quickly and effectively perform auxiliary assessment on patients with suspected Kawasaki disease, and can help reduce the misdiagnosis rate and missed diagnosis rate of the patients, and therefore, the patients can obtain effective prevention,intervention and treatment in the early stage of the disease, and basis can be provided for the achievement of optimal treatment effects.
Owner:DAOZHI PRECISION MEDICINE TECH SHANGHAI CO LTD

Prediction method and prediction system of irresponsive gamma globulin Kawasaki disease

The invention provides a prediction method and prediction system of an irresponsive gamma globulin Kawasaki disease. The method comprises the following steps that 21 original parameters of SVM model building are collected; the modelling original parameters comprise gender, age, fever time during treatment, clinical classification, CRP detection value, WBC value, PLT value, Hb value, ALT value, AST value, ALB value, gamma globulin using time and clinical diagnosed symptom indicators; the clinical diagnosed symptom indicators comprise conjunctival injection, erythra, cracked lips, a strawberry-like tongue, lymphadenectasis of a neck, hard and swollen hands and feet, digit peeling, crissum peeling and a red and swollen bacillus calmette-guerin scar; discretization is conducted on the original parameters to obtain SVM characteristic values corresponding to the original parameters; the SVM characteristic values are regarded as base data, a SVM model is built, and through the SVM model, a complication with irresponsive gamma globulin of the Kawasaki disease is predicted. By means of the prediction method and prediction system, early intervening treatment can be conducted on a patient, recovery of damage to a coronary artery is promoted, and the prediction method and prediction system have important significance and value on diagnosis and treatment of the Kawasaki disease in the future.
Owner:SOOCHOW UNIV AFFILIATED CHILDRENS HOSPITAL +1

Prediction method and prediction system for coronary artery damage complication of kawasaki disease

The invention provides a prediction method and prediction system for the coronary artery damage complication of the kawasaki disease. The method comprises the following steps that: collecting 21 items of original parameters for establishing an SVM (Support Vector Machine) model, wherein the original modeling parameters comprise genders, ages, fever time during doctor seeing, clinical classification, CRP (C Reactive Protein) detection values, WBC (White Blood Cell) values, PLT (Platelet) values, Hb (Hemoglobin) values, ALT (alanine aminotransferase) values, AST (aspartate aminotransferas) values, ALB (albumin) values, gamma-globulin service time and clinic diagnosis symptom indexes, and the clinic diagnosis symptom indexes comprise conjunctival injection, rash, cracked lips, raspberry tongues, lymphadenectasis of neck, hand and foot scleredema, digit peeling, crissum peeling and vaccinated scar inflammation; carrying out discretization processing on the original parameter to obtain an SVM feature value corresponding to the original parameter; taking the SVM feature value as basic data to construct an SVM model, and predicting the coronary artery damage complication of the kawasaki disease through the SVM model. By use of the method, patients can be subjected to early-stage intervention treatment, the recovery of the coronary artery damage is accelerated, and the method has an important meaning and value for the diagnosis and treatment of the kawasaki disease.
Owner:SOOCHOW UNIV AFFILIATED CHILDRENS HOSPITAL +1

Traditional Chinese medicine preparation for preventing and treating coronary artery injury of kawasaki disease

The invention discloses a traditional Chinese medicine preparation for preventing and treating coronary artery injury of a kawasaki disease. The traditional Chinese medicine preparation is prepared from the following raw materials in parts by weight: 9 parts of root of kudzu vine, 6 parts of salviae miltiorrhizae and 6 parts of ligusticum wallichii. According to the pharmacological action of the primary chemical components of root of kudzu vine, salviae miltiorrhizae and ligusticum wallichii, the traditional Chinese medicine preparation is proved to have the functions of increasing coronary blood-flow volume, improving blood oxygen supply of myocardium, reducing the oxygen consumption of myocardium, improving microcirculation, reducing the surface activity of blood platelets, inhibiting platelet aggregation and preventing thrombogenesis. In traditional Chinese medicine, the root of kudzu vine is a medicine for relieving exterior disorder, and salviae miltiorrhizae and ligusticum wallichii are medicines for invigorating blood circulation and eliminating stasis. The root of kudzu vine, the salviae miltiorrhizae and the ligusticum wallichii are compatible. The preparation meets compatibility principles of various drugs. However, kawasaki disease is systematic vascular inflammation which primarily induces infantile coronary artery injury. The preparation facilitates the preventionand treatment of coronary artery disease of kawasaki disease. The traditional Chinese medicine preparation is reasonable in formula compatibility, remarkable in effect, low in cost, small in side effect, obvious in curative effect after clinical application and worth being popularized.
Owner:THE PEOPLES HOSPITAL SHAANXI PROV

Prediction method and prediction system for gamma globulin non-reactive Kawasaki disease

The invention provides a prediction method and system for a gamma globulin non-reactive Kawasaki disease. The method comprises the following steps of collecting 21 original parameters of an SVM model, wherein the original parameters for modeling include gender, age, fever time during doctor seeing, clinical classification, a CRP detection value, a WBC value, a PLT value, an Hb value, an ALT value, an AST value, an ALB value, gamma globulin usage time and clinical diagnosis symptom indexes, and the clinical diagnosis symptom indexes include conjunctival congestion, rash, cracked lips, strawberry-like tongue, neck lymphadenectasis, hand and foot scleredema, digit desquamation, perianal desquamation and vaccinated scar redness and swelling; performing discretization processing on the original parameters to obtain SVM eigenvalues corresponding to the original parameters; and building the SVM model by taking the SVM eigenvalues as basic data, and predicting gamma globulin non-reactive complications of the Kawasaki disease through the SVM model. According to the prediction method and system, patients can be subjected to early intervention treatment, thereby facilitating coronary artery injury recovery; and the prediction method and system has important significance and value for diagnosis and treatment of the Kawasaki disease.
Owner:SOOCHOW UNIV AFFILIATED CHILDRENS HOSPITAL +1

Traditional Chinese medicine composition for treating kawasaki disease, preparation and preparation method and application of preparation

InactiveCN110538284AThe application time should be longLong application timeAntipyreticAnalgesicsDiseaseInflammatory factors
The invention discloses a traditional Chinese medicine composition for treating kawasaki disease. The traditional Chinese medicine composition is prepared from the following components in parts by weight: 6 parts of gypsum, 3 parts of cornu bubali, 4 parts of herba lophatheri, 3 parts of fructus forsythia and 2 parts of radix salviae miltiorrhizae. According to the traditional Chinese medicine composition, the gypsum clears heat and reduces fire, resolves the flesh and relieves exterior syndromes, promotes eruption and dissolves purpura, realizes detoxification and expels epidemic diseases, and engenders liquid and allays thirst; the cornu bubali clears heat, cools blood, realizes detoxification, and treats warm disease hyperpyrexia, macule generation, hematemesisand spontaneous external bleeding, and ulcer pyogenic infections; the herba lophatheri is cool and antipyretic, cools nutrients and protects yin, and contributes to prognostic recovery of pediatric patients; the fructus forsythia clears heat, realizes detoxification, removes stasis, realizes detumescence, can lower the inflammatory factor level, nourishes yin and generates body fluid, and clears away heart-fire and benefits the spleen; and the radix salviae miltiorrhizae promotes blood circulation to remove blood stasis, improves microcirculation, inhibits blood coagulation, activates fibrinolysis and inhibits thrombosis. The traditional Chinese medicine composition disclosed by the invention accords with the compatibility principles of various medicines, and the preparation of the traditional Chinese medicine composition can be used for treating kawasaki disease; and a formula is reasonable in compatibility and remarkable in effect, the cost is low, side effects are small, and clinical efficacy is remarkable.
Owner:南京和昌睿生物科技有限公司
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