PERSONALIZED PAIN MANAGEMENT AND ANESTHESIA: PREEMPTIVE RISK IDENTIFICATION AND THERAPEUTIC DECISION SUPPORT

    公开(公告)号:EP3483288A2

    公开(公告)日:2019-05-15

    申请号:EP18196397.6

    申请日:2012-11-29

    摘要: Methods and compositions disclosed herein generally relate to methods of improving clinical and economic outcomes to address adverse effects related to anesthesia, analgesics, opioids, and inadequate pain relief. Embodiments of the invention relate to the association between genes, specific polymorphisms of genes, and non-genetic factors with inadequate pain relief and anesthesia-, analgesic, and/or opioid-related adverse effects. Embodiments of the invention can be used to determine and manage patient risk factors for development of adverse perioperative effects and can allow for personalized anesthesia and pain management for improvement of pain control and reduction of anesthesia-, analgesic-, and opioid-related adverse outcomes. These methods and compositions apply to non-surgical pain management with opioids. Therefore, patients who are genetically predisposed to risk of inadequate pain relief and/or serious side effects from anesthesia, analgesics, and/or opioids can be identified and individualized treatment plans developed for implementation by the clinician to improve clinical and economic outcomes.

    METHOD FOR QUALITATIVE AND QUANTITATIVE DETECTION OF MICROORGANISM IN HUMAN BODY

    公开(公告)号:EP3409789A1

    公开(公告)日:2018-12-05

    申请号:EP17743725.8

    申请日:2017-01-24

    摘要: The present invention discloses a method for qualitative and quantitative detection of a microorganism in a human body, which belongs to the field of biotechnology. The method includes the following steps: determining a target microbial population, a target microorganism and a non-target organism in a sample to be tested, as well as a reference microorganism not present in the sample to be tested; designing the characteristic regions of the target microbial population and the target microorganism; designing multiplex amplification primers for the characteristic regions; adding the reference microorganism and an exogenous nucleic acid into the sample to be tested, and then extracting the nucleic acid of the microorganism in the sample to be tested; amplifying the nucleic acid of the microorganism with the designed multiplex amplification primers so as to obtain a characteristic sequencing fragment; and then performing, using the characteristic sequencing fragment, qualitative and quantitative analysis for the microorganism in the sample to be tested. The present invention does not need pre-culture and proliferation of the microorganism, and can perform high throughput, high accuracy and high resolution detection on a plurality of known microorganisms in the sample to be tested at one time, and the detection process is simple, quick and the process is standardized.

    OPTIMIZATION AND INDIVIDUALIZATION OF MEDICATION SELECTION AND DOSING
    90.
    发明公开
    OPTIMIZATION AND INDIVIDUALIZATION OF MEDICATION SELECTION AND DOSING 审中-公开
    药物选择和剂量的优化和个体化

    公开(公告)号:EP3223182A1

    公开(公告)日:2017-09-27

    申请号:EP17154177.4

    申请日:2006-11-28

    IPC分类号: G06F19/00 C12Q1/68

    摘要: The invention provides population models, methods, and algorithms for targeting a dosing regimen or compound selection to an individual patient. The methods and algorithms of the invention utilize population models that incorporate genotype information for genes encoding drug metabolizing enzymes for one or more compounds of interest. The methods allow integration of genotype information for one or more genes encoding a drug metabolizing enzyme, particularly a cytochrome P450 gene with patient data. The methods allow integration of genotype information and the effect of one or more compounds on one or more drug metabolizing enzymes. The methods allow iterative feedback of drug metabolizing data obtained from a patient into the process of generating a dosage regimen recommendation for a compound of interest for an individual patient.

    摘要翻译: 本发明提供了用于将给药方案或化合物选择靶向至个体患者的群体模型,方法和算法。 本发明的方法和算法利用整合编码一种或多种感兴趣化合物的药物代谢酶的基因的基因型信息的群体模型。 该方法允许将编码药物代谢酶,特别是细胞色素P450基因的一种或多种基因的基因型信息与患者数据整合。 该方法允许整合基因型信息和一种或多种化合物对一种或多种药物代谢酶的作用。 该方法允许从患者获得的药物代谢数据的迭代反馈进入为个体患者产生感兴趣化合物的剂量方案推荐的过程。