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Predicting the neuro-cardio-haemodynamic outcomes of sepsis and its pharmacological interventions: Get to the future through numerical equations.

作者信息

Sutanto Henry, Lyon Aurore

机构信息

Department of Cardiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.

Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands.

出版信息

J Physiol. 2021 Jun;599(11):2797-2799. doi: 10.1113/JP281661. Epub 2021 May 7.

DOI:10.1113/JP281661
PMID:33873248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9291562/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fbb/9291562/daaf55343a1c/TJP-599-2797-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fbb/9291562/daaf55343a1c/TJP-599-2797-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fbb/9291562/daaf55343a1c/TJP-599-2797-g001.jpg

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J Physiol. 2021 Mar;599(5):1459-1485. doi: 10.1113/JP280883. Epub 2021 Feb 11.
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Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study.全球、地区和国家脓毒症发病率和死亡率,1990-2017 年:全球疾病负担研究分析。
Lancet. 2020 Jan 18;395(10219):200-211. doi: 10.1016/S0140-6736(19)32989-7.
3
A Whole-Body Mathematical Model of Sepsis Progression and Treatment Designed in the BioGears Physiology Engine.
在BioGears生理引擎中设计的脓毒症进展与治疗的全身数学模型。
Front Physiol. 2019 Oct 18;10:1321. doi: 10.3389/fphys.2019.01321. eCollection 2019.
4
Mathematical modeling of septic shock based on clinical data.基于临床数据的脓毒症休克数学模型
Theor Biol Med Model. 2019 Mar 6;16(1):5. doi: 10.1186/s12976-019-0101-9.
5
Computational models in cardiology.心脏病学中的计算模型。
Nat Rev Cardiol. 2019 Feb;16(2):100-111. doi: 10.1038/s41569-018-0104-y.