Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales.
Clinical Decision Support for Traumatic Brain Injury: Identifying a Framework for Practical Model-Based Intracranial Pressure Estimation at Multihour Timescales.
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DOI:
10.2196/23215
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发表时间:
2021-03-22
影响因子:
3.2
通讯作者:
Albers D
中科院分区:
文献类型:
--
作者:
Stroh JN;Bennett TD;Kheyfets V;Albers D
The clinical mitigation of intracranial hypertension due to traumatic brain injury requires timely knowledge of intracranial pressure to avoid secondary injury or death. Noninvasive intracranial pressure (nICP) estimation that operates sufficiently fast at multihour timescales and requires only common patient measurements is a desirable tool for clinical decision support and improving traumatic brain injury patient outcomes. However, existing model-based nICP estimation methods may be too slow or require data that are not easily obtained. This work considers short- and real-time nICP estimation at multihour timescales based on arterial blood pressure (ABP) to better inform the ongoing development of practical models with commonly available data. We assess and analyze the effects of two distinct pathways of model development, either by increasing physiological integration using a simple pressure estimation model, or by increasing physiological fidelity using a more complex model. Comparison of the model approaches is performed using a set of quantitative model validation criteria over hour-scale times applied to model nICP estimates in relation to observed ICP. The simple fully coupled estimation scheme based on windowed regression outperforms a more complex nICP model with prescribed intracranial inflow when pulsatile ABP inflow conditions are provided. We also show that the simple estimation data requirements can be reduced to 1-minute averaged ABP summary data under generic waveform representation. Stronger performance of the simple bidirectional model indicates that feedback between the systemic vascular network and nICP estimation scheme is crucial for modeling over long intervals. However, simple model reduction to ABP-only dependence limits its utility in cases involving other brain injuries such as ischemic stroke and subarachnoid hemorrhage. Additional methodologies and considerations needed to overcome these limitations are illustrated and discussed.
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DOI:
10.1093/jamia/ocy106
发表时间:
2018-10-01
期刊:
Journal of the American Medical Informatics Association : JAMIA
影响因子:
--
作者:
Albers DJ;Levine ME;Stuart A;Mamykina L;Gluckman B;Hripcsak G
通讯作者:
Hripcsak G
影响因子:
--
作者:
Khan, Marium Naveed;Shallwani, Hussain;Shamim, Muhammad Shahzad
通讯作者:
Shamim, Muhammad Shahzad
影响因子:
11
作者:
Czosnyka, M;Piechnik, S;Pickard, JD
通讯作者:
Pickard, JD
影响因子:
3
作者:
Farhadi, Akram;Chern, Joshua J.;Rasheed, Khaled
通讯作者:
Rasheed, Khaled
影响因子:
4.2
作者:
Cardim, Danilo;Robba, Chiara;Czosnyka, Marek
通讯作者:
Czosnyka, Marek