Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

6 results about "Septic shock" patented technology

A widespread infection causing organ failure and dangerously low blood pressure.

A proteomics-based method for predicting fluid management strategy in septic shock patients

PendingCN122417148APredictive methodsFluid management
本发明实施例公开了一种基于蛋白质组学的脓毒症休克患者液体管理策略预测方法。所述方法包括:收集脓毒症休克患者的血浆样本,检测蛋白质标志物的表达水平,所述蛋白质标志物为GAL、NFASC、MICB_MICA、MAP2K6、JCHAIN和CSF3的组合;基于亚组识别模型计算效益得分,获得脓毒症休克患者的液体管理策略结果。本发明通过收集脓毒症休克患者的临床数据和蛋白质表达数据,采用LASSO回归分析,构建基于上述蛋白质标志物的亚组识别模型,进而获得效益评分,基于效益评分能预测患者液体管理策略方案的适用性,为脓毒症休克患者的液体治疗提供了可靠的方案,实现个体化和精准的液体治疗,在临床具有较好的应用前景。
Owner:THE AFFILIATED SIR RUN RUN SHAW HOSPITAL OF SCHOOL OF MEDICINE ZHEJIANG UNIV

Bloodstream infection related septic shock multi-modal fusion prediction method and system

PendingCN122455352AFeature vectorEngineering
The application provides a blood stream infection related septic shock multi-modal fusion prediction method and system, belonging to the field of intelligent medical treatment, and solving the problems of long time consumption, insufficient sensitivity and insufficient multi-modal information analysis capability in blood stream infection related septic shock. The method comprises: acquiring multi-modal clinical data of a target patient suspected of blood stream infection within a preset observation time window to obtain a multi-modal multi-scale feature sequence formed by combining each modality spatiotemporal feature vector sequence; inputting the multi-modal multi-scale feature sequence into a time sequence encoding network based on a multi-head attention mechanism to obtain an aligned multi-modal time sequence representation sequence; setting a learnable modality weight parameter for each modality, and updating the learnable modality weight parameter, the encoder and the time sequence encoding network through a task loss function according to the label of whether blood stream infection related septic shock occurs or not in the training process to obtain a multi-modal fusion model for prediction.
Owner:THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL

Method and system for predicting resuscitation status of septic shock patient

This invention relates to the field of medical artificial intelligence technology and discloses a method for predicting the resuscitation status of patients with septic shock. The method includes: acquiring state parameters of the patient with septic shock; preprocessing the acquired state parameters to obtain input parameters; obtaining training data based on a critical care database; training a prediction model using the training data; inputting the input parameters into the trained prediction model to obtain a first prediction probability; and performing binary classification on the first prediction probability to obtain a final prediction result. The state parameters include target parameters, which include multiple variables such as mean arterial pressure, arterial blood lactate, base excess, pH, bicarbonate, and anion gap. This method and system for predicting the resuscitation status of patients with septic shock can prospectively output the overall probability of achieving resuscitation targets at the 6th hour using conventionally available multidimensional clinical information within 0-2 hours after admission to the ICU.
Owner:GENERAL HOSPITAL OF THE CENT WAR ZONE OF THE CHINESE PEOPLES LIBERATION ARMY

ADM-gly as an early predictor of sepsis

PendingCN122374646ABiologic markerIncreased risk
The present invention relates to the diagnosis of sepsis and / or septic shock and monitoring the extent thereof; the early assessment of the risk of developing sepsis and / or septic shock; the prediction or determination or monitoring of the need for a therapy or intervention in a subject. The present invention relates to a method which comprises determining the level of a biomarker selected from the group consisting of ADM-Gly, PAMP, MR-proADM and CT-proADM or a fragment of at least five amino acids thereof, or the total ADM, or the ratio of the level of said biomarker to the level of ADM-Nffz, in a sample of a subject, and wherein the level of said biomarker or said ratio is indicative of sepsis and / or septic shock or the extent of sepsis and / or septic shock, or is predictive of an increased risk of developing sepsis and / or septic shock, or is indicative of the need for a therapy or intervention in said subject for sepsis and / or septic shock.
Owner:PAM THERAPEUTICS & DIAGNOSTICS LTD