用于重症监护病房的葡萄糖动力学数据同化。
Data assimilation of glucose dynamics for use in the intensive care unit.
作者信息
Sedigh-Sarvestani Madineh, Albers David J, Gluckman Bruce J
机构信息
Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5437-40. doi: 10.1109/EMBC.2012.6347224.
Abstract
We know much about the glucose regulatory system, yet the application of this knowledge is limited because simultaneous measurements of insulin and glucose are difficult to obtain. We present a data assimilation framework for combining sparse measurements of the glucose regulatory system, available in the intensive care unit setting, with a nonlinear computational model to estimate unmeasured variables and unknown parameters. We also demonstrate a method for choosing the best variables for measurement. We anticipate that this framework will improve glucose maintenance therapies and shed light on the underlying biophysical process.
摘要
我们对葡萄糖调节系统了解颇多，但由于难以同时获取胰岛素和葡萄糖的测量值，这些知识的应用受到限制。我们提出了一种数据同化框架，用于将重症监护病房环境中可获得的葡萄糖调节系统的稀疏测量值与非线性计算模型相结合，以估计未测量的变量和未知参数。我们还展示了一种选择最佳测量变量的方法。我们预计该框架将改善葡萄糖维持疗法，并揭示潜在的生物物理过程。
相似文献
1
Data assimilation of glucose dynamics for use in the intensive care unit.用于重症监护病房的葡萄糖动力学数据同化。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5437-40. doi: 10.1109/EMBC.2012.6347224.
2
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data.使用约束数据同化和电子健康记录数据进行 ICU 中的可解释生理预测。
J Biomed Inform. 2023 Sep;145:104477. doi: 10.1016/j.jbi.2023.104477. Epub 2023 Aug 20.
3
Reconstructing mammalian sleep dynamics with data assimilation.运用数据同化技术重建哺乳动物的睡眠动态。
PLoS Comput Biol. 2012;8(11):e1002788. doi: 10.1371/journal.pcbi.1002788. Epub 2012 Nov 29.
4
Data-driven curation process for describing the blood glucose management in the intensive care unit.数据驱动的监护病房血糖管理描述编纂过程。
Sci Data. 2021 Mar 10;8(1):80. doi: 10.1038/s41597-021-00864-4.
5
Anemia causes hypoglycemia in intensive care unit patients due to error in single-channel glucometers: methods of reducing patient risk.贫血导致重症监护病房患者发生低血糖：降低患者风险的方法。
Crit Care Med. 2010 Feb;38(2):471-6. doi: 10.1097/CCM.0b013e3181bc826f.
6
Glucose control in the intensive care unit.重症监护病房中的血糖控制
Crit Care Med. 2009 May;37(5):1769-76. doi: 10.1097/CCM.0b013e3181a19ceb.
7
Evaluation of an intensive insulin protocol for septic patients in a medical intensive care unit.在医疗重症监护病房对脓毒症患者强化胰岛素方案的评估。
Crit Care Med. 2006 Dec;34(12):2974-8. doi: 10.1097/01.CCM.0000248906.10399.CF.
8
Accuracy of bedside glucose measurement from three glucometers in critically ill patients.三种血糖仪对危重症患者进行床旁血糖检测的准确性
Crit Care Med. 2008 Nov;36(11):3062-6. doi: 10.1097/CCM.0b013e318186ffe6.
9
Dynamic characteristics of blood glucose time series during the course of critical illness: effects of intensive insulin therapy and relative association with mortality.危重病患者血糖时间序列的动态特征：强化胰岛素治疗的影响及其与死亡率的相关关系。
Crit Care Med. 2010 Apr;38(4):1021-9. doi: 10.1097/CCM.0b013e3181cf710e.
10
Glycemic control in a medical intensive care setting: revision of an intensive care unit nurse-driven hyperglycemia protocol.医疗重症监护环境中的血糖控制：重症监护病房护士主导的高血糖治疗方案修订
Crit Care Nurs Q. 2014 Apr-Jun;37(2):170-81. doi: 10.1097/CNQ.0000000000000016.
引用本文的文献
1
A Personalized Dosing Strategy Optimization for Diabetes Management: Applications to Gestational Diabetes Mellitus.糖尿病管理的个性化给药策略优化：在妊娠期糖尿病中的应用
AMIA Annu Symp Proc. 2025 May 22;2024:638-647. eCollection 2024.
2
Reconstructing ventricular cardiomyocyte dynamics and parameter estimation using data assimilation.利用数据同化重建心室心肌细胞动力学及参数估计
Biophys J. 2024 Dec 3;123(23):4050-4066. doi: 10.1016/j.bpj.2024.10.018. Epub 2024 Nov 5.
3
A simple modeling framework for prediction in the human glucose-insulin system.用于人体血糖-胰岛素系统预测的简单建模框架。
Chaos. 2023 Jul 1;33(7). doi: 10.1063/5.0146808.
4
New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care.新型 PK/PD 模型将糖尿病药物剂量与血糖水平直接关联，实现个体化治疗。
AMIA Annu Symp Proc. 2023 Apr 29;2022:672-681. eCollection 2022.
5
A data-assimilation approach to predict population dynamics during epithelial-mesenchymal transition.一种数据同化方法，用于预测上皮-间充质转化过程中的种群动态。
Biophys J. 2022 Aug 16;121(16):3061-3080. doi: 10.1016/j.bpj.2022.07.014. Epub 2022 Jul 14.
6
Cell Fate Forecasting: A Data-Assimilation Approach to Predict Epithelial-Mesenchymal Transition.细胞命运预测：一种用于预测上皮-间质转化的数据同化方法。
Biophys J. 2020 Apr 7;118(7):1749-1768. doi: 10.1016/j.bpj.2020.02.011. Epub 2020 Feb 15.
7
The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.侯利汉参数：解决高吞吐量病态不适定问题的一种方法。
Math Biosci. 2019 Oct;316:108242. doi: 10.1016/j.mbs.2019.108242. Epub 2019 Aug 24.
8
Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.机理机器学习：如何利用数据同化利用贝叶斯推断利用生理知识来预测未来、推断现在和表现型。
J Am Med Inform Assoc. 2018 Oct 1;25(10):1392-1401. doi: 10.1093/jamia/ocy106.
9
Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.动态表型分析：利用临床收集的生理数据的时间分析对人群进行分层。
PLoS One. 2014 Jun 16;9(6):e96443. doi: 10.1371/journal.pone.0096443. eCollection 2014.
10
Population physiology: leveraging electronic health record data to understand human endocrine dynamics.人群生理学：利用电子健康记录数据了解人类内分泌动力学。
PLoS One. 2012;7(12):e48058. doi: 10.1371/journal.pone.0048058. Epub 2012 Dec 14.
本文引用的文献
1
Population physiology: leveraging electronic health record data to understand human endocrine dynamics.人群生理学：利用电子健康记录数据了解人类内分泌动力学。
PLoS One. 2012;7(12):e48058. doi: 10.1371/journal.pone.0048058. Epub 2012 Dec 14.
2
Reconstructing mammalian sleep dynamics with data assimilation.运用数据同化技术重建哺乳动物的睡眠动态。
PLoS Comput Biol. 2012;8(11):e1002788. doi: 10.1371/journal.pcbi.1002788. Epub 2012 Nov 29.
3
The Unscented Kalman Filter estimates the plasma insulin from glucose measurement.无迹卡尔曼滤波器通过葡萄糖测量来估计血浆胰岛素。
Biosystems. 2011 Jan;103(1):67-72. doi: 10.1016/j.biosystems.2010.09.012. Epub 2010 Oct 8.
4
Patient-specific learning in real time for adaptive monitoring in critical care.重症监护中用于自适应监测的实时患者特异性学习。
J Biomed Inform. 2008 Jun;41(3):452-60. doi: 10.1016/j.jbi.2008.03.011. Epub 2008 Mar 28.
5
Computer model for mechanisms underlying ultradian oscillations of insulin and glucose.胰岛素和葡萄糖超日振荡潜在机制的计算机模型
Am J Physiol. 1991 May;260(5 Pt 1):E801-9. doi: 10.1152/ajpendo.1991.260.5.E801.
Zotero 插件