Creating virtual ARDS patients

Anup Das; Mainul Haque; Marc Chikhani; Wenfei Wang; Jonathan G. Hardman; Declan G. Bates

doi:10.1109/EMBC.2016.7591294

Creating virtual ARDS patients

Anup Das, Mainul Haque, Marc Chikhani, Wenfei Wang, Jonathan G. Hardman, Declan G. Bates

School of Mathematics & Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this data, the parameters of the integrated model were identified using an optimization-based methodology in multiple stages. Computational simulations confirm that the resulting model outputs accurately reproduce the available clinical data. Our results open up the possibility of creating in silico a biobank of virtual ARDS patients that could be used to evaluate current, and investigate novel, therapeutic strategies.

Original language	English
Title of host publication	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2729-2732
ISBN (Electronic)	978-1-4577-0220-4
ISBN (Print)	978-1-4577-0219-8
DOIs	https://doi.org/10.1109/EMBC.2016.7591294
Publication status	Published - 18 Oct 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016

Publication series

Name	IEEE EMBC Proceedings Series
Publisher	IEEE
ISSN (Print)	1557-170X
ISSN (Electronic)	1558-4615

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated title	EMBC 2016
Country/Territory	United States
City	Orlando
Period	16/08/16 → 20/08/16

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10.1109/EMBC.2016.7591294

Creating virtual ARDS patients
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Accepted author manuscript (Post-print), 740 KB

http://ieeexplore.ieee.org/document/7591294/

Cite this

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title = "Creating virtual ARDS patients",

abstract = "This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this data, the parameters of the integrated model were identified using an optimization-based methodology in multiple stages. Computational simulations confirm that the resulting model outputs accurately reproduce the available clinical data. Our results open up the possibility of creating in silico a biobank of virtual ARDS patients that could be used to evaluate current, and investigate novel, therapeutic strategies.",

author = "Anup Das and Mainul Haque and Marc Chikhani and Wenfei Wang and Hardman, {Jonathan G.} and Bates, {Declan G.}",

year = "2016",

month = oct,

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doi = "10.1109/EMBC.2016.7591294",

language = "English",

isbn = "978-1-4577-0219-8",

series = "IEEE EMBC Proceedings Series",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2729--2732",

booktitle = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

address = "United States",

note = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

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Das, A, Haque, M, Chikhani, M, Wang, W, Hardman, JG & Bates, DG 2016, Creating virtual ARDS patients. in 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2016. IEEE EMBC Proceedings Series, Institute of Electrical and Electronics Engineers Inc., pp. 2729-2732, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7591294

Creating virtual ARDS patients. / Das, Anup; Haque, Mainul; Chikhani, Marc et al.
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2729-2732 (IEEE EMBC Proceedings Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Creating virtual ARDS patients

AU - Das, Anup

AU - Haque, Mainul

AU - Chikhani, Marc

AU - Wang, Wenfei

AU - Hardman, Jonathan G.

AU - Bates, Declan G.

PY - 2016/10/18

Y1 - 2016/10/18

N2 - This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this data, the parameters of the integrated model were identified using an optimization-based methodology in multiple stages. Computational simulations confirm that the resulting model outputs accurately reproduce the available clinical data. Our results open up the possibility of creating in silico a biobank of virtual ARDS patients that could be used to evaluate current, and investigate novel, therapeutic strategies.

AB - This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this data, the parameters of the integrated model were identified using an optimization-based methodology in multiple stages. Computational simulations confirm that the resulting model outputs accurately reproduce the available clinical data. Our results open up the possibility of creating in silico a biobank of virtual ARDS patients that could be used to evaluate current, and investigate novel, therapeutic strategies.

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DO - 10.1109/EMBC.2016.7591294

M3 - Conference contribution

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BT - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 16 August 2016 through 20 August 2016

ER -

Creating virtual ARDS patients

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