46 results about "Delirium" patented technology

The invention discloses a novel traditional Chinese medicine composite for treating coma and heart syncope symptoms and a preparation method thereof. The traditional Chinese medicine composite mainly comprises the following raw material medicines: styrax, benzoin, holy basil, rhizoma acori graminei, toad venom, tambac, santalwood, rosa banksiae, nutgrass flatsedge, toosendan fruit, radix aristolochiae, common fibraurea, macrostem onion, fructus citri sarcodactylis, citron, aspongopus, lotus node, madder, dalbergia wood, plant soot, rhizoma ligustici wallichii, corydalis tuber, turmeric, curcuma, mastic, myrrh, radix salviae miltiorrhizae, peach kernel, safflower, radix notoginseng, ground beetle, stiff silkworm, logwood, draconis sanguis, catechu, rhizoma sparganii, rhizoma zedoariae, pangolin scales, spatholobus stem, motherwort, angelica, rhizoma atractylodis, radix puerariae, angelica root, sibirian button bur, magnolia flower, purple common perilla, chrysanthemum, baikal skullcap root and coptis root. The traditional Chinese medicine composite can be prepared into any common oral preparation according to a conventional traditional Chinese medicine preparation method. The invention can obviously improve diseases which are caused by the inverse disorder of the functional activities of qi, fluctuation warp and non-smooth qi of yin and yang and represent coma, delirium, exanimation and asphyxia as main symptoms or are accompanied with the symptoms of asphyxia and coldness of limbs, dottiness and the like, and has definite clinical curative effect, obvious curative effect and quick acting. Because the traditional Chinese medicine composite basically adopts medicine-food homologous medicines specified by the national dispensatory for combination, the traditional Chinese medicine composite has the advantages of low expense, no toxic or side effect basically and the like.

The invention discloses a method for screening, evaluating and intervening senile syndromes of hospitalized senile patients, which comprises the following steps of: comprehensively screening the senile syndromes of the senile patients; carrying out special assessments including pressure sore risk degree, disability degree, emotional disorder degree, sleep quality, cognitive disorder degree, malnutrition degree, dysphagia degree, defecation and urination, social support, pain, delirium, tumble, sarcopenia, weakness, body diseases and the like; and making individualized intervention suggestions according to the evaluation conclusion. According to the invention, elderly health management is associated with different states of diseases, an elderly syndrome intelligent management method is provided for elderly patients in a targeted manner, and disease hierarchical management and continuous service are realized. The method comprises a complete process of health information collection, disease and function evaluation, intervention opinions and follow-up visits, so that the method can be widely popularized as a special diagnosis and treatment technical method of the elderly medical inpatient department, and can enable the elderly to obtain better standard, effective and homogenized services.

Intended to prevent self-extubation of nasal or oral tubes of an awake patient who may reflexively attempt removal of such and allow the early mobilization and exercise necessary for preservation of as much muscle strength as possible, promotion of diaphragmatic motion necessary for liberation from a ventilator, reduction of patient stress allowing for sedation minimization and improved cognition for reduction of delirium and post-intensive care syndrome, and relief of medical staff and healthcare dollars to focus more on healthcare rather than on protection from self-harm.

The present invention encompasses novel substituted pyrimidine compounds of Formula (I): which act as MCH receptor antagonists. These compounds are useful in pharmaceutical compositions whose use includes prophylaxis or treatment of improving memory function, sleeping and arousal, anxiety, depression, mood disorders, seizure, obesity, diabetes, appetite and eating disorders, cardiovascular disease, hypertension, dyslipidemia, myocardial infarction, binge eating disorders including bulimia, anorexia, mental disorders including manic depression, schizophrenia, delirium, dementia, stress, cognitive disorders, attention deficit disorder, substance abuse disorders and dyskinesias including Parkinson's disease, epilepsy, and addiction.

The invention relates to a herbal medicament and a preparation method thereof, and specifically relates to a medicament for tranquilizing, heat clearing and detoxifying and its preparation method. The medicament of the invention comprises by weight: 1-5 parts of artificial bezoar, 1-15 parts of pearl, 1-15 parts of borneol, 1-5 parts of bamboo juice, 1-15 parts of cinnabar, 5-100 parts of rheum officinale, 5-20 parts of curcuma tuber, 1-6 parts of natural indigo, 5-20 parts of grass-leaved sweetflag rhizome, 1-10 parts of Arisaema cum Bile, 1-5 parts of concretio silicea bambusae, 5-150 parts of buffalo horn slice, 1-15 parts of pearl layer powder, 1-5 parts of scutellaria extract, and 1-5 parts of berberis root extract. With natural plant medicine as the raw materials, the medicament is prepared according to the combined effect of a traditional Chinese medicine theoretical formula, and can be used to treat hyperthermia, dysthesia and uneasiness, insomnia and dreamful sleep, coma and delirium, infantile convulsion and twitch, epilepsy, headache and vertigo. The medicament provided in the invention can be taken for a long term without the adverse reactions of listlessness, trance, loss of short memory and the like.

The invention discloses an extraction and expression mode of a pain component in brain waves. The extraction and expression mode is a method for extracting characteristic components of feelings related to pains, labor pains, anxiety, tension, delirium, oblivion and comfort in the brain waves by acquiring a brain wave signal in real time and utilizing a mathematic calculation algorithm of discrete signal processing, and the method is expressed into an expression mode of dimensionless data of 0-100. By utilizing a signal sensing technology of electrophysiology to acquire a brain wave signal and calculate and analyze the signal, the characteristic index is found and extracted, through normalization processing, a quantitative numerical value for measuring the characteristic index is obtained, and technical means and application equipment for real-time pain measurement are formed. According to the extraction and expression mode of the pain component in the brain waves, a powerful support means is provided for scientific study of pain treatment and a management method, and the extraction and expression mode has important practical value in the aspects of analyzing a medicine curative effect, summarizing a treatment method, adjusting a treatment scheme, studying and analyzing a pain mechanism, collecting large sample long-time clinical pain relevant information and the like.

The invention relates to a medicinal injection for treating delirium and a preparation method thereof, and relates to application of poloxamer to the preparation of refreshment calming injections. The medicinal injection is processed by using 7.5 parts of musk, 30 parts of turmeric root-tuber, 1 part of borneol, 30 parts of bupleurum, gardenia and 1 to 200 parts of poloxamer serving as a solubilizer.

Disclosed is a pharmaceutical composition comprising a compound represented by the formula (I)

or a pharmaceutically acceptable salt thereof as an active ingredient, which has an antagonistic activity on a melanin-concentrating hormone receptor. The pharmaceutical composition is useful, due to its antagonistic activity on a MCH receptor, for the prevention or treatment of a disease such as depression, anxiety disorders (e.g., generalized anxiety disorder, post traumatic stress disorder, panic disorder, obsessive-compulsive disorder, social anxiety disorder), attention deficit disorder, mania, manic-depressive disorder, schizophrenia, mood disorders, stress, sleep disorder, attacks, memory impairment, cognitive impairment, dementia, amnesia, delirium, obesity, eating disorder, appetite disorder, hyperphagia, bulimia, cibophobia, diabetes, a cardiovascular diseases, hypertension, dyslipidemia, cardiac infarction, movement disorder (e.g., Parkinson's disease, epilepsy, convulsion, tremor), drug abuse and drug addiction.

The invention provides a method for predicting delirium through artificial intelligence, and belongs to the field of critical patient evaluation. The method comprises the steps: related data of a patient and a hospital are included through a structured language; feature variables are screened based on a random forest, and a prediction model is constructed through regularization logistic regression, K nearest neighbor, a support vector machine, the random forest, limit gradient lifting and a deep neural network algorithm; and through prediction probabilities of different methods, ensemble learning is carried out through a limit gradient lifting algorithm to finally predict whether a critical patient has delirium or not, and the occurrence probability of the delirium is further calculated. According to the method, patient data and hospital feature information are utilized as much as possible, and individualized evaluation for predicting the critical patient is carried out, so that prediction bias caused by a certain model is weakened, and prediction accuracy is improved.

The invention provides a children delirium prediction method and system based on electroencephalogram signals. The method comprises the following specific processing steps: 1, collecting multi-channel electroencephalogram data of children in a waking period after an anesthesia operation; 2, preprocessing the acquired multichannel electroencephalogram data; 3, extracting multi-domain features of the preprocessed multi-channel electroencephalogram data; and 4, inputting the multi-domain features into an SVM classifier to obtain a delirium prediction result. The system comprises an electroencephalogram data acquisition module, a preprocessing module, a feature extraction module and a classification module. The invention provides the children delirium prediction method and the system thereof, and the method and system are objective, are high in accuracy, and are beneficial to early warning and timely treatment of clinical children delirium.

The invention provides modeling of PACU adult high-activity delirium prediction. Patients who enter a hospital for surgical treatment in the same time period and then enter a PACU for observation areselected; according to the diagnosis standard of PDHA, the patients are set into two groups: a PDHA group and a non-PDHA group; the observation time is from the period when each patient enters the PACU to the period when the patient leaves the PACU after the operation, and two sets of patient data are collected in a retrospective mode through an Access database; the sorted and collected research data are randomly matched by stata15 software according to a ratio of 2:1, and the research data is divided into training set data and verification set data; statistics and analysis are carried out byusing an R language, and risk factors are screened by using step-by-step logistic regression, so that an adult postoperative early-stage high-activity delirium prediction model is constructed. The method has the advantages that the constructed PACU adult high-activity delirium prediction model is good in prediction efficiency, and visual and graphical screening of adult high-activity delirium after PACU operation can be achieved.

Disclosed is a method of determining a subject's susceptibility to by collecting a biological sample from the subject; determining the methylation status of at least one CpG sequence in the biological sample from the subject; and comparing the methylation status in the biological sample to an established threshold and determining whether or not the subject is likely to suffer delirium.

In certain aspects, the at least one CpG sequence is located in a gene selected from TNF-alpha, BNDF, GDNF, LDLRAD4, DAPK1, and IRF8

The invention discloses an ICU patient body constraint decision-making method which comprises the following steps: S1, automatically acquiring values of age X1, consciousness X2, activity ability X3, RASS score X4, delirium X5 and invasive mechanical ventilation X6 of a patient according to a nursing record list; S2, according to a scoring rule of each variable, sequentially inputting each variable value obtained in the S1, automatically obtaining scores of age X1, awareness X2, activity ability X3, RASS score X4, delirium X5 and invasive mechanical ventilation X6 of the patient, calculating a total score of a body constraint decision, and establishing an ICU patient body constraint decision evaluation table; S3, calculating a body constraint probability P according to a formula P = 1/(1+ e-a); S4, carrying out constraint judgment: when P is less than 24%, performing no constraint; when P is greater than or equal to 24% and less than or equal to 36%, ending the constraining; when P is greater than 36%, carrying out constraining; and S5, forming an ICU patient body constraint decision table in the system. The method has the advantages that patient body constraint decision informatization is achieved, a certain guiding effect is provided for green nurses, a manual mode is replaced, and the working efficiency is improved.