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Review of recent guidelines for the management of severe sepsis and septic shock

Jin-Nong ZHANG MD, Bo PENG BA, Jamile WOODS MD, Wei PENG MD, PhD,

Frontiers of Medicine 2010, Volume 4, Issue 1,   Pages 54-58 doi: 10.1007/s11684-010-0008-7

Abstract: Severe sepsis and septic shock affect millions of patients and are major causes of mortality worldwideIn this article, we systemically review recent guidelines for the management of severe sepsis and septicshock published in 2008 by the International Surviving Sepsis Campaign Guidelines Committee.is essential, while use of corticosteroids in sepsis is controversial.The mechanisms by which activated protein C improves clinical outcomes in sepsis are unknown.

Keywords： sepsis     septic shock     hemodynamics     guidelines    

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Sepsis biomarkers: an omics perspective

Xiao Liu, Hui Ren, Daizhi Peng

Frontiers of Medicine 2014, Volume 8, Issue 1,   Pages 58-67 doi: 10.1007/s11684-014-0318-2

Abstract:

Sepsis is a common cause of death in hospitalized patients worldwide.The early detection of sepsis remains a great challenge for clinicians, and delayed diagnosis frequentlyOmics technologies allow high-throughput screening of sepsis biomarkers.This review describes currently available and novel sepsis biomarkers in the context of genomics, transcriptomicsThe combination of these technologies can help refine the diagnosis of sepsis.

Keywords： sepsis     biomarker     genomics     transcriptomics     proteomics     metabolomics    

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A self-supervised method for treatment recommendation in sepsis Research Articles

Sihan Zhu, Jian Pu,jianpu@fudan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 926-939 doi: 10.1631/FITEE.2000127

Abstract: treatment is a highly challenging effort to reduce mortality in hospital intensive care units since the treatment response may vary for each patient. Tailored s are desired to assist doctors in making decisions efficiently and accurately. In this work, we apply a self-supervised method based on (RL) for on individuals. An uncertainty evaluation method is proposed to separate patient samples into two domains according to their responses to treatments and the state value of the chosen policy. Examples of two domains are then reconstructed with an auxiliary transfer learning task. A distillation method of privilege learning is tied to a variational auto-encoder framework for the transfer learning task between the low- and high-quality domains. Combined with the self-supervised way for better state and action representations, we propose a deep RL method called high-risk uncertainty (HRU) control to provide flexibility on the trade-off between the effectiveness and accuracy of ambiguous samples and to reduce the expected mortality. Experiments on the large-scale publicly available real-world dataset MIMIC-III demonstrate that our model reduces the estimated mortality rate by up to 2.3% in total, and that the estimated mortality rate in the majority of cases is reduced to 9.5%.

Keywords： 治疗推荐；脓毒症；自监督学习；强化学习；电子病历    

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Engineered Biomimetic Platelet Membrane-Coated Nanoparticles Block Staphylococcus aureus Cytotoxicity and Protect Against Lethal Systemic Infection Article

Jwa-Kyung Kim, Satoshi Uchiyama, Hua Gong, Alexandra Stream, Liangfang Zhang, Victor Nizet

Engineering 2021, Volume 7, Issue 8,   Pages 1149-1156 doi: 10.1016/j.eng.2020.09.013

Abstract: em> is a leading human pathogen capable of producing severe invasive infections such as bacteremia, sepsis

Keywords： Nanoparticle     Nanosponge     Platelet     Staphylococcus aureus     Bacterial toxins     Sepsis    

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Title Author Date Type Operation

Review of recent guidelines for the management of severe sepsis and septic shock

Jin-Nong ZHANG MD, Bo PENG BA, Jamile WOODS MD, Wei PENG MD, PhD,

Journal Article

Sepsis biomarkers: an omics perspective

Xiao Liu, Hui Ren, Daizhi Peng

Journal Article

A self-supervised method for treatment recommendation in sepsis

Sihan Zhu, Jian Pu,jianpu@fudan.edu.cn

Journal Article

Engineered Biomimetic Platelet Membrane-Coated Nanoparticles Block Staphylococcus aureus Cytotoxicity and Protect Against Lethal Systemic Infection

Jwa-Kyung Kim, Satoshi Uchiyama, Hua Gong, Alexandra Stream, Liangfang Zhang, Victor Nizet

Journal Article