20 results about "Severe burn" patented technology

The invention discloses a nursing method and system based on a hierarchical monitoring mode, and relates to the technical field of monitoring nursing, and the method comprises the following steps: firstly, according to a preset detection period, carrying out the regular detection of the skin microcirculation perfusion state of a severely burnt patient, and evaluating the tissue perfusion and wound recovery conditions; by monitoring skin microcirculation changes in real time and combining a deep learning model, the scheme accurately captures early characteristics of blood hypercoagulability trend, such as microcirculation shear stress and pulsation strength changes, generates blood flow indexes, compares the blood flow indexes with reference thresholds, early recognizes the hypercoagulability state and timely intervenes; the risks of local necrosis, infection, septicemia and the like are reduced. Based on intelligent division, patients are divided into blood rheological balance and blood hypercoagulability trend, the detection frequency is dynamically adjusted, nursing resource allocation is optimized, personalized nursing is achieved, and prognosis and management quality of the patients are effectively improved.

The utility model relates to the technical field of severe burns, in particular to an anti-infection nursing pad for large-area burns, which comprises a placement bottom plate, and a limiting and fixing mechanism for providing limiting and fixing is arranged in the placement bottom plate. According to the nursing pad, when the nursing pad body is laid above the placement bottom plate, the nursing pad body can be limited and bound above the placement bottom plate by using the limiting and fixing mechanism, so that the nursing pad body can be prevented from being driven when a patient turns over and the like, and the phenomenon that the nursing pad body is folded or stacked together is prevented; the treatment process of medical personnel is further guaranteed; by arranging the supporting and reinforcing mechanism, supporting and reinforcing acting force can be provided for the position where the bottom plate is placed; by arranging the treatment structure, the effects of antibiosis, water absorption and ventilation can be provided for the nursing pad body, bacteria breeding at the top of the placement bottom plate is prevented, and subsequent cleaning and sterilization treatment work is facilitated.

It is an object of the present invention to effectively promote growth of granulation tissue at a dermal defect or a subcutaneous tissue defect caused by a severe burn. To achieve this object, burn treatment cells for use in treatment of burns are composed of placenta-derived cells of an animal and promote healing.

This invention relates to the field of multi-organ dysfunction (MOD) early warning technology, specifically to an MOD early warning method for patients with severe burns. The method includes the following steps: acquiring heart rate, mean arterial pressure, respiratory rate, blood oxygen saturation, lactate concentration, and urine output per unit time; calculating the rate of lactate change at adjacent time points to form a sequence; comparing the rate of change across time intervals to obtain the difference in change; combining heart rate and blood oxygen saturation to calculate circulatory load; and counting the number of early warning triggers that meet risk conditions. In this invention, by calculating the rate of change of lactate concentration at adjacent time points and combining it with interval direction statistics, tissue metabolic changes show trend characteristics; the rate of change of urine output combined with mean arterial pressure forms a record of renal perfusion changes, providing a continuous characterization of perfusion status; heart rate and blood oxygen saturation are used to calculate circulatory load; multiple physiological signals are linked for judgment; and recurring abnormalities are expressed through the number of triggers. This improves the stability and predictability of MOD risk identification in critically burned patients.

The present invention relates to the field of biomedical technologies, and specifically to a medicament for skin wound repair and a preparation method of its raw materials, which includes the following core steps: Select the parental species of Eisenia fetida that has been purified and propagated for 30 generations, feed L-proline chelated zinc and phenylalanine sulfonated derivatives in stages in a sterile culture medium, combine with ultraviolet light induction to activate the expression of antibacterial peptide genes, and cultivate highly active adults; Obtain a clear liquid through water bath cleaning at 40-50 °C, shearing and homogenization, 30% alcohol gradient precipitation, and multi-stage ultrafiltration; Homogenize and emulsify the raw drug with carbomer matrix and glycerol to form a gel with a particle size of 100-200 nm. The highly efficient repair effect of the present invention enables epidermal regeneration within 72 hours for severe burns and scalds; the granulation coverage rate of diabetic foot ulcers is ≥90% within 20 days; Secondly, the antibacterial activity of β-sheet conformation PrAMPs is enhanced, and the zinc chelating inducer up-regulates the gene expression level.

It is an object of the present invention to effectively promote growth of granulation tissue at a dermal defect or a subcutaneous tissue defect caused by a severe burn. To achieve this object, burn treatment cells for use in treatment of burns are composed of placenta-derived cells of an animal and promote healing.

The present invention provides a functional dressing for severe burns and a preparation method thereof, belonging to the technical field of medical dressings. Specifically, the functional dressing for severe burns includes the following components by mass: 6-10 parts of an antibacterial water-retaining agent, 4.5-6.5 parts of a growth-promoting oil, 3-5 parts of a traditional Chinese medicine gel, 1 part of hyaluronic acid, and 0.1-0.3 parts of polydopamine; TiO2 is used as a substrate, and an EGF is stably bound to its surface via a thioether bond through a coupling agent, thereby enhancing cell adhesion and prolonging the action time of EGF; coconut oil, asiaticoside, aloe vera, etc. are added to the material to promote drug penetration, cell proliferation, and wound healing; paraffin oil is dispersed in a sodium alginate gel to form breathable pores, which, combined with zeolite support, can prevent adhesion, inhibit bacteria, and adsorb inflammatory mediators; the dressing is prepared by electrospinning and has a good burn healing effect.

The present application relates to a death risk prediction model for severe burn combined with liver enzyme abnormality, a construction method and a storage medium. The construction method of the death risk prediction model comprises: collecting clinical feature data of patients with severe burn combined with liver enzyme abnormality; using an RF-RFE joint regression model to analyze and screen the clinical feature data of the training set and whether to die, and screening out the clinical feature data related to death of severe burn combined with liver enzyme abnormality; and based on the screened clinical feature data, a death risk prediction model is constructed. The present application also provides a death risk prediction model constructed by the construction method. The present application also provides a storage medium. Based on the clinical basic data and disease-related indicators of patients, the present application identifies the risk factors leading to the death of patients with severe burn and liver enzyme abnormality, so as to predict the death probability of patients in advance, conveniently, quickly and accurately, thereby helping doctors to take corresponding prevention and treatment measures for patients.

A cerium nitrate (CeN)-silver sulfadiazine (SSD) barrier foam dressing containing CeN and SSD antimicrobials is may be removably affixed to a wound for treatment. The barrier foam dressing may be manufactured by providing a mixture containing at least CeN and SSD; and forming a core foam containing at least CeN and SSD from the mixture, the core foam having a top surface and a bottom surface, the bottom surface configured to be removably affixed to a wound for treatment.

The present invention addresses the problem of effectively promoting granulation proliferation in dermal defects or subcutaneous tissue defects of severe burns and scalds. As a solution, a cell for treating burns and scalds, which is used in the treatment of burns and scalds, is derived from a placenta of an animal including a human, and promotes healing.

The invention discloses a prediction model for enteral nutrition intolerance occurrence risk of an adult patient with severe burn and application thereof, and belongs to the field of disease risk prediction. According to the method, risk factors of enteral nutritional feeding intolerance of the serious burn patient are screened, and the EFI risk prediction model of the adult serious burn patient is established and verified based on a Logistic regression analysis method, so that a scientific basis is provided for early clinical recognition of high-risk patients and implementation of preventive intervention. Risk factors for occurrence of EFI (Extensible Firmware Index) of severe burn patients of adults are explored, the risk factors comprise the number of basic diseases of subjects, whether intestinal probiotics are used or not, the number of white blood cells within 24 hours of hospital admission, fasting blood-glucose within 24 hours of hospital admission and the total area of burn, and a risk prediction model is constructed based on the risk factors. And reference is provided for early clinical recognition of high-risk groups with intolerant enteral nutrition feeding of serious burn patients.

The invention relates to a death risk prediction model for severe burns and abnormal liver enzymes, a construction method and a storage medium. The construction method of the death risk prediction model comprises the following steps: collecting clinical feature data of patients with severe burns and abnormal liver enzymes; using an RF-RFE combined regression model to analyze and screen the clinical feature data of the training set and whether death occurs, and screening out clinical feature data related to serious burn and liver enzyme abnormality and death; and constructing a death risk prediction model based on the screened clinical feature data. The invention also provides a death risk prediction model constructed by the construction method. The invention further provides a storage medium. According to the method, risk factors causing death of patients suffering from serious burns and liver enzyme abnormality are identified based on clinical basic data and disease related indexes of the patients, so that the death probability of the patients is conveniently, quickly and accurately predicted in advance, and doctors are helped to take corresponding prevention and treatment measures for the patients.

The present invention discloses a method and system for determining the relevant factors for the occurrence of ASD in burn patients. The method first divides the patients into mild, moderate, severe and extremely severe burns according to the burn area, and records detailed personal information and other relevant data, such as gender, age, cause of injury, etc. Then, a psychiatrist diagnoses the burn patients for ASD according to the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5), conducts a psychological assessment of the patients using the Acute Stress Disorder Scale (ASD-5), and uses near-infrared functional neuroradiography (fNIRS) to detect the hemodynamic response of specific brain areas to objectively reflect changes in brain functional state. Finally, through univariate analysis, two-sample correlation analysis and multivariate analysis, the key factors affecting the occurrence of ASD are systematically determined. In addition, the method also includes an assessment of the patient's quality of life, which helps to fully understand the patient's rehabilitation status and the degree of recovery of social function. Through early identification and intervention, the present invention can significantly improve the quality of life and rehabilitation effect of burn patients.

The invention relates to the field of treatment of severe skin burns, and discloses a device for treating a severe burn patient, a pedal plate is vertically and slidably connected to a bed body, the bed body is provided with a driving part for driving a supporting part to change, and the driving part is linked with the pedal plate; the supporting part comprises a buffering bag installed on the side, close to the pedal plate, in the buffering space and a vent valve installed on the bed body, the driving part is connected with the vent valve and used for controlling the vent valve to be opened and closed, and when a patient treads into the concave position of the pedal plate during treatment, the legs of the patient are supported by driving the pedal plate; therefore, gravity center extrusion of the patient caused by air inflation of the air bags is adjusted, part of gravity is dispersed to the upper limbs of the patient, and at the moment, due to the fact that the patient lies flat on the bed body and the air bags in the interval spaces are in the air inflation state, friction between the patient and the bed body is avoided, and the patient does not tend to slide on the bed body. The secondary friction of the burnt skin of the patient is effectively prevented, so that the hidden danger of secondary injury of the burnt skin of the patient is avoided.

The application discloses an esterase-responsive lipid prodrug capsaicin nanoassemblies as well as a preparation method and application thereof, the nanoassemblies are formed by self-assembly of lipid prodrug capsaicin in an aqueous medium, and the average particle size of the nanoassemblies is 50-300 nm. The nanoassemblies can efficiently penetrate a nerve bundle membrane barrier, locally form a drug depot in nerve tissue, and slowly release active capsaicin under the action of esterase, so that long-acting, safe and selective analgesia is realized, and key problems such as poor permeability of free capsaicin, severe burning pain caused by injection, and narrow treatment window are solved.

The invention provides a functional dressing for severe burns and a preparation method thereof, and belongs to the technical field of medical dressings. Specifically, the functional dressing for severe burn is prepared from the following components in parts by mass: 6 to 10 parts of antibacterial water-retaining agent, 4.5 to 6.5 parts of growth promoting oil, 3 to 5 parts of traditional Chinese medicine gel, 1 part of hyaluronic acid and 0.1 to 0.3 part of polydopamine, tiO2 is used as a base material, EGF is stably combined on the surface of TiO2 through a thioether bond through a coupling agent, cell adhesion is enhanced, and the action time of EGF is prolonged; coconut oil, asiaticoside, aloe and the like are added into the material, so that medicine permeation, cell proliferation and wound healing can be promoted; paraffin oil is dispersed in sodium alginate gel to form breathable pores, and zeolite support is combined, so that adhesion prevention, bacteria blocking and inflammatory mediator adsorption can be realized; the dressing is prepared through electrostatic spinning, and the burn healing effect is good.

A cerium nitrate (CeN)-silver sulfadiazine (SSD) barrier foam dressing containing CeN and SSD antimicrobials is may be removably affixed to a wound for treatment. The barrier foam dressing may be manufactured by providing a mixture containing at least CeN and SSD; and forming a core foam containing at least CeN and SSD from the mixture, the core foam having a top surface and a bottom surface, the bottom surface configured to be removably affixed to a wound for treatment.

The invention discloses an intelligent regulation and control method and system for the pressure of a trachea cannula cuff. The method comprises the steps that multi-dimensional signals such as the airway pressure and the body position of a patient are collected; extracting features of physiological events such as cough and turning over and quantifying intensity; when the intensity exceeds a threshold value, the event influence range is evaluated in combination with specific hemodynamic fluctuation and tissue perfusion tolerance of the severe burn complicated shock patient; a machine learning model is adopted, and a tracheal mucosa vulnerability index, historical data and the like are fused to predict an expected adjustment value; and finally, generating an instruction through closed-loop feedback and optimization iteration to drive regulation and control. According to the scheme provided by the invention, scientific and targeted management of cuff pressure of a critical patient can be realized, emergencies can be effectively handled through predictive and adaptive closed-loop regulation, the risk of intubation complications can be reduced, and the safety of the patient is improved.

The invention relates to a death risk prediction model for severe burns and hyperbilirubinemia, a construction method and a storage medium. The construction method comprises the following steps: collecting clinical feature data of patients with severe burns and hyperbilirubinemia; in combination with LASSO and Logistic regression, screening out clinical feature data associated with severe burn and hyperbilirubinemia from the clinical feature data; and constructing a death risk prediction model based on the screened clinical feature data. The invention also provides a death risk prediction model for severe burn combined with hyperbilirubinemia, which is constructed by the construction method. The invention further provides a computer readable storage medium. According to the method, risk factors causing death of patients suffering from severe burns and hyperbilirubinemia abnormality are identified based on clinical basic data and disease related indexes of the patients, so that the death probability of the patients is conveniently, quickly and accurately predicted in advance, and doctors are helped to take corresponding prevention and treatment measures for the patients.