45 results about "Copd patients" patented technology

The invention discloses a COPD acute attack risk assessment method and system based on multi-parameter fusion, and the method comprises the steps: S1, carrying out the preprocessing and adaptive standardization processing of multi-dimensional physiological parameter data of a COPD patient, and obtaining a standardized feature matrix; s2, based on the standardized feature matrix, constructing a bidirectional long-short-term memory network, designing a time sequence attention mechanism, constructing a time sequence feature extraction model, and obtaining a time sequence feature vector; s3, performing feature combination on the time sequence feature vector and the patient static feature to obtain a combined feature vector; s4, performing feature dimension reduction on the combined feature representation by using an auto-encoder, and extracting features after dimension reduction; and S5, constructing a COPD acute attack risk assessment model based on the dimensionality-reduced features, and performing risk assessment. According to the method, features can be automatically extracted through the deep learning model, risk assessment is carried out, and accurate assessment of the acute attack risk of the COPD patient is realized.

The invention discloses a COPD patient re-admission prediction method and system based on a multi-modal sparse attention mechanism, and the method comprises the steps: S1, obtaining the sample data of a patient, and carrying out the preprocessing; s2, performing time sequence feature extraction by adopting a long-short-term memory model based on an attention mechanism to obtain a time sequence feature vector; s3, performing text feature extraction on the clinical diagnosis data by adopting a text classification model based on a sparse self-attention mechanism; s4, carrying out feature extraction on the preprocessed doctor text data by adopting an improved Transform model; and S5, based on a self-attention mechanism, distributing attention weights for the hidden layer representation vectors of the time sequence feature vector, the clinical diagnosis data and the doctor text data, and inputting the attention weights into a full connection layer for output prediction to obtain a final prediction result. According to the method, different types of data of COPD patients are acquired, correlation degree analysis and multi-modal data feature fusion are performed in combination with an attention mechanism, a time sequence and semantic analysis, and the accuracy and efficiency of a disease prediction model are improved.

The invention relates to the technical field of rehabilitation treatment of chronic obstructive pulmonary patients, and discloses a therapeutic scheme matching method for rehabilitation treatment of chronic obstructive pulmonary patients, comprising the following steps: step 1, a data acquisition and integration module which is responsible for collecting multi-dimensional data of patients; according to the treatment scheme matching method for the rehabilitation treatment of the chronic obstructive pulmonary disease patient, unnecessary medical resource waste can be avoided, the patient can be timely and properly treated, the overall utilization efficiency of the medical resources is improved, detailed treatment information and self-management suggestions are provided for the patient, and the patient is prevented from suffering from chronic obstructive pulmonary disease. A patient can better know the illness state and the treatment process of the patient, a personalized treatment scheme is easier to accept and execute by the patient, the treatment compliance of the patient can be improved, a large amount of real-world patient data is accumulated by the system, rich materials are provided for medical research, and through deep mining and analysis of the data, the treatment compliance of the patient can be improved. Pathogenesis, treatment effect influence factors and the like can be further explored.

The invention discloses a refenasin triphenyl acetate and an inhalation powder inhalation thereof. The refenasin triphenyl acetate can be prepared into inhalation powder inhalation, has the effects of good preparation stability, high deposition proportion in an effective part in a body, good curative effect and low side effect, and provides a new drug choice for treatment of COPD patients.

Lung fibroblast play an important role in lung cancer tumor microenvironment (TME). Senescence is involved in the pathophysiology of tumorogenesis. analyze how sPLA2 influenced lung cancer cell malignant properties. The inventors show that secreted PLA2 XIIA (sPLA2 XIIA) play a key role in lung cancer cell malignant properties. They demonstrate that sPLA2 XIIA increases the proliferation, the migration and organoid growth of both lung cancer cell lines (NCI and A549). Indeed, they shows that sPLA2 XIIA induces notably the epithelial mesenchymal transition (EMT), which is involved in the invasion of cancer cells and in the formation of metastasis. They also demonstrate that the effect of sPLA2 XIIA is mediated in particular by syndecan 1 and 4. Taken altogether, these data define sPLA2 XIIA as a circulating biomarker of poor prognosis in lung cancer and establish a requirement for sPLA2 XIIA inhibition for the treatment or prevention of cancer, especially lung cancer in the COPD patients.

The application belongs to the field of digital medicine, and particularly relates to a chronic obstructive pulmonary disease (COPD) differential system based on digital lung sound, a construction method and application thereof. The system comprises a data acquisition module, a preprocessing module, a conversion module, a data module, a data processing module, a data enhancement training module, a deep learning module, a differential module, a grading module and a display module. Digital lung sound records of candidates are collected, converted into mel spectrograms, and diagnosed by using a deep neural network. The candidates are COPD patients, healthy people, or people suffering from other lung diseases, and the disease grade of the COPD patients is given by a device carrying the differential system. The examination only needs to collect lung sounds in clinical or other places, reduces radiation damage and possible infection risk in the conventional diagnosis process, and provides a scheme for early diagnosis of COPD, and improves the diagnosis efficiency of the respiratory department, especially the COPD disease.

Disclosed herein are methods and nanoparticles suitable for use in reducing exacerbations in COPD patients. The methods and compositions advantageously reduce the incidence of hospitalization in COPD patients that occurs in response to environmental insults such as exposure to or infection by RSV. Dosages, formulations, and methods for preparing the vaccines and nanoparticles are also disclosed.

The present invention discloses a COPD big data management platform and a construction method thereof, and belongs to the field of chronic disease health management. The present invention constructs a Chinese and Western medicine standard medical health database and a Chinese and Western medicine characteristic prevention and treatment technology database by effectively integrating multi-source data, realizes data standardization, eliminates data redundancy, and improves data quality. The Chinese and Western medicine standard medical health database, the Chinese and Western medicine characteristic prevention and treatment technology database, and a dedicated medical system interface are integrated to establish a COPD big data center, laying a foundation for subsequent data analysis, mining, and application, making the health and medical data of COPD patients more reliable and easy to analyze, thereby providing more valuable support for Chinese and Western medicine clinical decision-making and health management, and medical workers can also obtain the required information faster and make more accurate diagnosis and treatment decisions. In addition, the present invention also establishes an auxiliary engine that can help medical staff and patients better obtain information and feedback.

The application discloses a kind of application system of sitting eight-sections in COPD mechanical ventilation patient, including nurse hierarchical intervention module, man-machine synchronization module, multi-dimensional monitoring early warning module and continuity management module.The advantages of the present application: improve self-care ability of daily life, improve the critical level of patient course, reduce the hospitalization time of patient, promote the early rehabilitation of COPD mechanical ventilation patient, enhance lung function after exercise this project after discharge, avoid repeated attacks, improve the quality of life, reduce the admission rate, improve patient and family satisfaction, shorten the hospitalization time of COPD patient, reduce hospitalization expenses, reduce the readmission rate, also reduce the economic burden for society.

The application discloses a training mask for COPD patients, and relates to the technical field of medical devices.The training mask comprises a mask body, a one-way inhalation valve arranged on the left side of the mask body, an oxygen access port arranged on the right side of the mask body, a thread structure arranged on the oxygen access port, an adjustable anti-resistance exhalation module arranged at the front end of the mask body, and a resistance adjusting knob arranged on the side of the adjustable anti-resistance exhalation module.The adjustable anti-resistance exhalation module is matched with the resistance adjusting knob and a variable resistance valve sheet, so that multi-stage adjustment of exhalation resistance is realized, the training needs of different patients and different disease stages are met, and the pertinence and effectiveness of the training are improved.The training mask is integrated with a cough auxiliary triggering module, a gear shifting knob and a manual gear adjusting mechanism, so that quick switching between a training gear and a cough gear is realized, the exhalation resistance can be instantaneously reduced during the cough training, the patients can complete effective cough actions, and the airway clearance ability is improved.

The utility model relates to the technical field of chronic obstructive pulmonary disease patient nursing, in particular to a lung clearing and sputum excretion device for chronic obstructive pulmonary disease patient nursing, which comprises a box body, and a catheter is arranged at the rear end of the box body; the cleaning mechanism capable of disinfecting and cleaning the inside and the outside of the suction pipe is arranged on the inner wall of the box body; by arranging the cleaning mechanism, a suction pipe can be placed in a cleaning groove, a water pump conveys normal saline in a liquid storage barrel into a conveying ring through two water guide pipes, and the conveying ring is matched with a spray head to spray out the normal saline to clean sputum on the surface of the suction pipe; a conveying pipe is communicated with a suction pipe through two clamping blocks so that normal saline can be conveyed into the suction pipe to clean sputum, the suction pipe can be rapidly cleaned, the cleaning effect of the device is improved, the cleaned sputum and saline can be collected through a collecting plate, normal saline and disinfectant can be placed in a liquid storage cylinder, and the cleaning effect of the device is improved. And the suction pipe can be rapidly and comprehensively cleaned, and the using effect of the device is improved.

The invention discloses application of a hexokinase HK3 inhibitor in preparation of a medicine for preventing / treating chronic obstructive pulmonary disease. According to the research, clinical chronic obstructive pulmonary disease lung tissue in-situ neutrophile granulocyte sample transcriptome sequencing finds that differential genes are concentrated in a neutrophile granulocyte chemotactic pathway, enrichment expression of HK3 in neutrophile granulocytes is further analyzed, and expression enhancement in the chronic obstructive pulmonary disease neutrophile granulocytes is achieved; further research finds that the HK3 inhibitor can effectively protect weight loss, protect lung functions, relieve lung injury and reduce lung tissue collagen deposition, and in-vitro experimental analysis finds that the HK3 inhibitor can relieve chronic obstructive pulmonary lung oxidation-antioxidant imbalance caused by neutrophil ROS. The research proves that the HK3 inhibitor has a clinical application value in prevention and treatment of chronic obstructive pulmonary disease, and has a wide application prospect.

Provided is a training management device for expiratory pressure load to alleviate tachypnea in COPD patients and improve exercise ability and physical mobility. The device is a training management device for users with COPD. The device includes an expiratory information input unit for inputting expiratory information related to the ratio T EX of the inhalation or exhalation time to one breath time during maximum exercise obtained by performing an exercise load cardiopulmonary function examination (CPET) on the user, and the ratio T RE of the inhalation or exhalation time to one breath time at rest obtained by the examination, and a user determination unit that calculates the difference between T EX and T RE to determine whether there is expiratory prolongation during exercise in the user, a menu presentation unit that presents a menu for expiratory pressure load training based on the maximum expiratory pressure value for a user with expiratory prolongation during exercise, and a training result presentation unit that inputs expiratory information and information related to exercise ability after a predetermined number of expiratory pressure load trainings, determines whether there is an improvement effect on the exercise ability of the target user, and presents the training result.

The invention relates to the technical field of biological medicine, and discloses a biomarker for predicting COPD cognitive impairment and application of the biomarker. The invention finds and verifies that the specificity of stearic acid (SA) in serum and a key enzyme ELOVL6 synthesized by the stearic acid (SA) in serum in a patient with secondary cognitive impairment (CI) of chronic obstructive pulmonary disease (COPD) is improved for the first time, the level of the stearic acid (SA) and the key enzyme ELOVL6 is negatively correlated with the cognitive impairment degree, and the stearic acid (SA) and the key enzyme ELOVL6 have good prediction efficiency (AUCgt, 0.82) on the COPD-CI. On the basis, the invention provides the application of the serum SA and / or ELOVL6 as the biomarker for predicting the COPD secondary CI risk, the in-vitro diagnostic kit comprising the detection reagent of the biomarker, and the method for predicting the risk by detecting the level of the marker. The invention provides a brand-new and reliable metabolic marker tool for early warning and intervention of CI of COPD patients, and has important clinical value and transformation prospect.

The present disclosure relates to methods of treatment of asthma, COPD, Asthma-COPD Overlap Syndrome (ACOS), and chronic bronchitis, or a combination thereof, with formulations comprising (S)-3-(3-(1-methyl-2-oxo-5-(pyrazolo[1,5-a]pyridin-3-yl)-1,2-dihydro-3H-imidazo[4,5-b]pyridin-3-yl)piperidin-1-yl)-3-oxopropanenitrile.

The present invention discloses a COPD screening marker KRT15 and a kit. Based on bioinformatics analysis, the present invention found that compared with healthy controls, the expression level of KRT15 mRNA in the lungs of COPD patients was significantly increased, suggesting that KRT15 is highly correlated with the occurrence and development of COPD. Furthermore, in animal experiments, a COPD model of mice was constructed by passively inhaling secondhand smoke, and it was found that with the increase in cigarette smoke stimulation time, the expression level of KRT15 gradually increased. In cell experiments, cigarette smoke extract (CSE) was added to stimulate human bronchial epithelial cells, and it was found that CSE stimulation could increase the expression levels of KRT15 protein and encoding genes. The above results suggest that COPD can be diagnosed by KRT15, and the preparation of a diagnostic kit based on KRT15 can achieve rapid and effective screening of COPD. The present invention provides a new molecular target and detection method for clinical screening of COPD.

The invention discloses application of a reagent for detecting LSH in preparation of a chronic obstructive pulmonary disease diagnosis preparation and application of a reagent for overexpressing the LSH in preparation of a medicine for treating the chronic obstructive pulmonary disease. Protein expression of LSH in a patient suffering from the chronic obstructive pulmonary disease is found to be lower than that of healthy people and expression of pure smokers through western blot and RT-qPCR detection for the first time. Therefore, the possibility of using the LSH as the detection marker of the chronic obstructive pulmonary disease is provided. The LSH overexpression adeno-associated virus improves obstructive ventilation dysfunction and large and small airway dysfunction of a model mouse, relieves the emphysema degree, reduces the airway inflammation level and inhibits small airway remodeling, and further analysis on inflammatory cells in the lung shows that the overexpression of the LSH overexpression adeno-associated virus can reduce the proportion of pulmonary interstitial macrophages. The invention provides a new way with a prospect for treating the chronic obstructive pulmonary disease.

This invention discloses an adaptive early warning and intervention system for chronic obstructive pulmonary disease (COPD), relating to the fields of telemedicine and intelligent chronic disease management. The system includes: collecting multi-source physiological and clinical data from COPD patients to obtain a multi-dimensional input dataset; extracting risk feature vectors; constructing and dynamically updating individual health profiles; inputting the risk feature vectors and clinical baseline data into an LSTM dynamic risk prediction model to output risk probabilities; performing adaptive early warning judgments based on risk probabilities and individual health profiles to output early warning levels; dynamically assembling and pushing personalized intervention plans from a structured intervention knowledge base; and continuously updating the adaptive rule base and prediction model parameters by collecting feedback data. This invention solves the technical problems of existing COPD remote management systems, such as frequent false alarms and missed alarms due to static judgment using fixed thresholds, insufficient targeting of early warning and intervention content, long response chains, and a lack of adaptive adjustment capabilities, thereby reducing the occurrence of false alarms and missed alarms.

The invention relates to the technical field of medical management, in particular to a COPD patient intelligent respiration monitoring system which comprises a chest belt, an abdominal belt, a bracelet, a respiration monitoring module, an environment monitoring module and a treatment monitoring module. A triaxial piezoresistive strain sensor, a first timer and a first microphone are mounted on the chest strap; a capacitive pressure sensor, a second timer and a second microphone are mounted on the bellyband; the respiration supervision module is used for respectively collecting chest respiration data, abdominal respiration data and blood data of a patient by using a chest belt, an abdominal belt and a bracelet; the evaluation module evaluates the condition of the patient according to the chest respiration data of the patient; evaluating the abdominal respiration function of the patient according to the abdominal respiration data of the patient, and assisting in evaluating the illness state of the patient based on the abdominal respiration function of the patient; the method is complete in logic, and the comprehensiveness and accuracy of data monitoring can be effectively improved.

The invention discloses application of an MUC1-C segment in preparation of a medicine for preventing or treating chronic obstructive pulmonary disease, and belongs to the technical field of protein functions and targeted medicine development. The MUC1-C protein level in the lung tissue and alveolar epithelial cells of a COPD patient is detected, and cell experiments and animal experiments jointly prove that down-regulation of MUC1-C expression is significantly related to the aging level of the lung tissue, the level of differentiation from AT2 cells to AT1 cells, the inflammation level, mitochondrial dysfunction and reduction of lung functions. MUC1-C overexpression can effectively relieve deterioration of the pathological process. The invention can be applied to the fields of research and development of new drugs and new technologies for diagnosing, preventing and treating chronic obstructive pulmonary disease, and the like.

The present disclosure relates to methods of treatment of asthma, COPD, Asthma-COPD Overlap Syndrome (ACOS), and chronic bronchitis, or a combination thereof, with formulations comprising (S)-3-(3-(1-methyl-2-oxo-5-(pyrazolo[1,5-a]pyridin-3-yl)-1,2-dihydro-3H-imidazo[4,5-b]pyridin-3-yl)piperidin-1-yl)-3-oxopropanenitrile.

The application discloses a rafenamine triphenylacetic acid salt and an inhalation powder aerosol thereof. The rafenamine triphenylacetic acid salt can be prepared into the inhalation powder aerosol, has good preparation stability, high deposition proportion at an effective site in the body, good curative effect and low side effect, and provides a new drug selection for the treatment of COPD patients.

The present invention relates to a pharmaceutical composition of an inhalation solution comprising unit dose of indacenroguron bromide, a method for preparing the same, and a use thereof. The unit dose composition is prepared by dissolving a specific amount of active ingredients, an osmotic pressure regulator, a buffer ion pair, a pH regulator and other auxiliary material components in water, the active substances form aerosol by means of an atomizer, the aerosol is applied to asthma and COPD patients in an inhalation mode, and the unit dose composition has the advantages of being high in effectiveness, good in safety, good in patient compliance and the like.

The invention discloses an NPPV bidirectional switching method and system based on acute exacerbation intelligent early warning. The method comprises the steps that physiological indexes of a patient and running parameters of a breathing machine are continuously collected through a multi-source sensor; performing early warning according to the physiological indexes of the patient and the running parameters of the respirator; when the alarm signal is generated, the NPPV mode is automatically switched from low intensity to high intensity; and when the early warning release condition meets a preset condition, automatically switching the NPPV mode from high intensity to low intensity. According to the application, the re-hospitalization rate and the case fatality rate of COPD patients can be reduced, adverse reactions such as serious abdominal distension can be reduced, the problem that current NPPV treatment is not reasonable is solved, and the long-term use compliance of NPPV is remarkably improved.

The invention discloses a chronic obstructive pulmonary disease related pulmonary arterial hypertension (COPD-PH) specific metabolic marker combination screened based on metabonomics and machine learning, and relates to the technical field of biological medicines. According to the invention, the specific metabolic characteristics of COPD-PH patients are found for the first time. The method comprises the following steps: firstly, performing non-targeted metabonomics analysis on plasma samples of COPD-PH patients, COPD patients and healthy controls to identify 163 differential metabolites, and then comprehensively analyzing through three machine learning algorithms of RF, SVM and LASSO to screen five key metabolites: ornithine, histidine, biotin, nicotinamide and homocystine. In the multi-center verification research, the combination of the five metabolites also shows excellent diagnostic efficiency [AUC = 0.814], which is obviously superior to the traditional diagnostic index. The invention not only provides a new tool for noninvasive diagnosis of COPD-PH, but also deeply reveals the metabolic mechanism of occurrence and development of diseases.

The invention provides a COPD patient-oriented home exercise rehabilitation intelligent management method and system, and relates to the technical field of medical engineering and digital health. The method comprises the following steps: prompting a patient to fill in an evaluation scale; determining an undetermined rehabilitation exercise option; after confirmation information is received, taking the undetermined rehabilitation exercise options as rehabilitation exercise recommendation options; selecting a rehabilitation exercise video; playing the rehabilitation exercise video, shooting the exercise video of rehabilitation exercise of the patient, and collecting various physiological index data of the patient; determining a motion suitability index; determining a new rehabilitation exercise recommendation option; a compliance report is determined. According to the method and the device, the exercise suitability index of the patient can be determined based on the physiological index and the rehabilitation exercise video, so that a new rehabilitation exercise recommendation option is determined, and a compliance report is determined. The degree of suitability of the rehabilitation exercise for the patient is monitored in real time, personalized rehabilitation exercise is recommended for the patient, the accuracy of rehabilitation exercise recommendation is improved, and the compliance of the patient is improved.

The present invention relates to the field of biomedical technology, and specifically to a rapid detection kit for the extracellular vesicle COPD screening marker GLIPR1, wherein the kit includes an EVs in situ capture plate or chip, and each well of the EVs in situ capture plate or chip contains a fluorescein-labeled molecular beacon, and the molecular beacon is a specific DNA probe for detecting the COPD screening marker GLIPR1mRNA. The kit of the present invention utilizes the EVs in situ capture plate and chip technology to detect the COPD screening marker GLIPR1mRNA contained in EVs in the body fluid samples of COPD patients. Advantages: Integrating multiple COPD screening marker gene detection channels on a capture plate or chip is fast, convenient, and economical, and can realize rapid detection of the COPD screening marker GLIPR1 in extracellular vesicles, and ensure detection accuracy and specificity, and has strong practicality.

The utility model discloses a straight tube type sensory integration respiratory training device. The technical problems that in the prior art, a respiratory training device is complex in structure, the training process is boring, and the applicability is low are solved. Comprising a cylinder, supporting frames are installed at the two ends of the cylinder, a connector is in threaded connection with the right end of the cylinder, a hose is fixedly connected to the end, away from the cylinder, of the connector, color balls roll in the cylinder, and an induction system is installed at the right end of the left supporting frame; by arranging the cylinder, the supporting frame, the connector, the hose, the color balls with different weights and the sensing system, a patient breathes by holding the hose in the mouth, so that the color balls roll in the cylinder and are matched with the scale marks to evaluate the breathing function, the structure is simple, operation is convenient, meanwhile, stimulation of lamplight and music is provided, the sensory integration ability of the patient is improved, and the patient experience is improved. The method is suitable for COPD patients with different degrees of cognitive impairment.

This invention relates to the interdisciplinary application of digital health, smart healthcare, and artificial intelligence, and discloses a method and system for constructing an environmental sensitivity profile for COPD patients. The method includes: constructing a multimodal patient historical data profile dataset; reconstructing biological effects based on respiratory pathology mechanisms; constructing and training a causal feature learning network; calculating individualized environmental sensitivity; and generating clinical decision support information. Its core lies in mining multimodal longitudinal historical data of patients to construct a computational framework that deeply integrates respiratory pathology mechanisms and causal inference algorithms (a biological effect reconstruction module based on a multi-mechanism model, a causal feature learning module, and a dual machine learning module based on hypernetwork generation). This framework outputs an interpretable, individualized digital profile of environmental sensitivity, capable of quantifying a patient's pathological susceptibility to specific environmental factors (such as particulate matter), and can be combined with environmental forecasting to provide precise quantitative support for clinical decision-making.