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  1. Article ; Online: Efficacy and safety of heparin for sepsis-induced disseminated intravascular coagulation (HepSIC)

    Yini Sun / Renyu Ding / Hao Sun / Yingjian Liang / Xiaochun Ma

    Trials, Vol 25, Iss 1, Pp 1-

    study protocol for a multicenter randomized controlled trial

    2024  Volume 9

    Abstract: Abstract Background Disseminated intravascular coagulation (DIC) occurs in 30–50% of septic patients and contributes to high mortality in the intensive care unit (ICU). However, there are few proven interventions for coagulation disorder management in ... ...

    Abstract Abstract Background Disseminated intravascular coagulation (DIC) occurs in 30–50% of septic patients and contributes to high mortality in the intensive care unit (ICU). However, there are few proven interventions for coagulation disorder management in sepsis. Experimental and clinical data have demonstrated that sepsis could benefit from unfractionated heparin (UFH) treatment. To date, there are no large multicenter trials to determine the safety and efficacy of UFH in septic patients with suspected DIC. Methods A multicenter, double-blinded, placebo-controlled randomized trial is designed to recruit 600 patients who met sepsis 3.0 criteria and suspected DIC. Participants will be randomized (1:1) to receive UFH or saline via continuous intravenous administration for 7 days within 6 h of enrolment. The primary outcome is ICU mortality. The secondary outcome includes 28-day all-cause mortality, the improvement of Sequential Organ Failure Assessment scores, and the incidence of major hemorrhage. Investigators, participants, and statisticians will be blinded to the allocation. Discussion The HepSIC trial is to evaluate the efficacy and safety of UFH on sepsis-related DIC across different areas of China. The small dosage of UFH administration would offer a new potential approach for treating sepsis-related coagulation disorders. Ethics and dissemination Ethical approval was granted by all the ethics committees of 20 participant centers. Results will be disseminated via peer-reviewed publications and presented at conferences. Trial registration ClinicalTrials.gov NCT02654561. Registered on 13 January 2016.
    Keywords Sepsis ; Disseminated intravascular coagulation ; Heparin ; Randomized controlled trial ; Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The Central Role of the Inflammatory Response in Understanding the Heterogeneity of Sepsis-3

    Renyu Ding / Yulan Meng / Xiaochun Ma

    BioMed Research International, Vol

    2018  Volume 2018

    Abstract: In sepsis-3, in contrast with sepsis-1, the definition “systemic inflammatory response” has been replaced with “dysregulated host response”, and “systemic inflammatory response syndrome” (SIRS) has been replaced with “sequential organ failure assessment” ...

    Abstract In sepsis-3, in contrast with sepsis-1, the definition “systemic inflammatory response” has been replaced with “dysregulated host response”, and “systemic inflammatory response syndrome” (SIRS) has been replaced with “sequential organ failure assessment” (SOFA). Although the definition of sepsis has changed, the debate regarding its nature is ongoing. What are the fundamental processes controlling sepsis-induced inflammation, immunosuppression, or organ failure? In this review, we discuss the heterogeneity of sepsis-3 and address the central role of inflammation in the pathogenesis of sepsis. An unbalanced pro- and anti-inflammatory response, inflammatory resolution disorder, and persistent inflammation play important roles in the acute and/or chronic phases of sepsis. Moreover, powerful links exist between inflammation and other host responses (such as the neuroendocrine response, coagulation, and immunosuppression). We suggest that a comprehensive evaluation of the role of the inflammatory response will improve our understanding of the heterogeneity of sepsis.
    Keywords Medicine ; R
    Language English
    Publishing date 2018-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Chinese experts’ consensus on the application of intensive care big data

    Longxiang Su / Shengjun Liu / Yun Long / Chaodong Chen / Kai Chen / Ming Chen / Yaolong Chen / Yisong Cheng / Yating Cui / Qi Ding / Renyu Ding / Meili Duan / Tao Gao / Xiaohua Gu / Hongli He / Jiawei He / Bo Hu / Chang Hu / Rui Huang /
    Xiaobo Huang / Huizhen Jiang / Jing Jiang / Yunping Lan / Jun Li / Linfeng Li / Lu Li / Wenxiong Li / Yongzai Li / Jin Lin / Xufei Luo / Feng Lyu / Zhi Mao / He Miao / Xiaopu Shang / Xiuling Shang / You Shang / Yuwen Shen / Yinghuan Shi / Qihang Sun / Weijun Sun / Zhiyun Tang / Bo Wang / Haijun Wang / Hongliang Wang / Li Wang / Luhao Wang / Sicong Wang / Zhanwen Wang / Zhong Wang / Dong Wei / Jianfeng Wu / Qin Wu / Xuezhong Xing / Jin Yang / Xianghong Yang / Jiangquan Yu / Wenkui Yu / Yuan Yu / Hao Yuan / Qian Zhai / Hao Zhang / Lina Zhang / Meng Zhang / Zhongheng Zhang / Chunguang Zhao / Ruiqiang Zheng / Lei Zhong / Feihu Zhou / Weiguo Zhu

    Frontiers in Medicine, Vol

    2024  Volume 10

    Abstract: The development of intensive care medicine is inseparable from the diversified monitoring data. Intensive care medicine has been closely integrated with data since its birth. Critical care research requires an integrative approach that embraces the ... ...

    Abstract The development of intensive care medicine is inseparable from the diversified monitoring data. Intensive care medicine has been closely integrated with data since its birth. Critical care research requires an integrative approach that embraces the complexity of critical illness and the computational technology and algorithms that can make it possible. Considering the need of standardization of application of big data in intensive care, Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society, Standard Committee has convened expert group, secretary group and the external audit expert group to formulate Chinese Experts’ Consensus on the Application of Intensive Care Big Data (2022). This consensus makes 29 recommendations on the following five parts: Concept of intensive care big data, Important scientific issues, Standards and principles of database, Methodology in solving big data problems, Clinical application and safety consideration of intensive care big data. The consensus group believes this consensus is the starting step of application big data in the field of intensive care. More explorations and big data based retrospective research should be carried out in order to enhance safety and reliability of big data based models of critical care field.
    Keywords machine learning ; intensive care medicine ; big data ; critical care medicine ; consensus ; Medicine (General) ; R5-920
    Subject code 310
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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