6 results about "Severe burn" patented technology

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 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 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.

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.