Abstract:
:We assessed the effect of re-calibration time on cardiac output estimation and trending performance in a retrospective analysis of an intensive care unit patient population using error grid analyses. Paired thermodilution and arterial blood pressure waveform measurements (N = 2141) from 222 patient records were extracted from the Multiparameter Intelligent Monitoring in Intensive Care II database. Pulse contour analysis was performed by implementing a previously reported algorithm at calibration times of 1, 2, 8 and 24 h. Cardiac output estimation agreement was assessed using Bland-Altman and error grid analyses. Trending was assessed by concordance and a 4-Quadrant error grid analysis. Error between pulse contour and thermodilution increased with longer calibration times. Limits of agreement were -1.85 to 1.66 L/min for 1 h maximum calibration time compared to -2.70 to 2.41 L/min for 24 h. Error grid analysis resulted in 74.2 % of points bounded by 20 % error limits of thermodilution measurements for 1 h calibration time compared to 65 % for 24 h. 4-Quadrant error grid analysis showed <75 % of changes in pulse contour estimates to be within ±80 % of the change in the thermodilution measurement at any calibration time. Shorter calibration times improved the agreement of cardiac output pulse contour estimates with thermodilution. Use of minimally invasive pulse contour methods in intensive care monitoring could benefit from prospective studies evaluating calibration protocols. The applied pulse contour analysis method and thermodilution showed poor agreement to monitor changes in cardiac output.
journal_name
J Clin Monit Computjournal_title
Journal of clinical monitoring and computingauthors
Scully CG,Gomatam S,Forrest S,Strauss DGdoi
10.1007/s10877-015-9749-9subject
Has Abstractpub_date
2016-10-01 00:00:00pages
577-86issue
5eissn
1387-1307issn
1573-2614pii
10.1007/s10877-015-9749-9journal_volume
30pub_type
杂志文章abstract::Unnecessary variation in clinical care and clinical research reduces our ability to determine what healthcare interventions are effective. Reducing this unnecessary variation could lead to further healthcare quality improvement and more effective clinical research. We have developed and used electronic decision suppor...
journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1007/s10877-012-9356-y
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abstract:OBJECTIVE:The mid-latency auditory evoked potential (MLAEP) has been used to indicate depth of anaesthesia, and is usually analysed in time-domain. This work compares three techniques: Wave Deformation Parameters (PDO), Auditory Evoked Potential Index (AEPidx) and an automatic Nb-wave latency estimator (Nb), in the ass...
journal_title:Journal of clinical monitoring and computing
pub_type: 临床试验,杂志文章
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1007/s10877-017-0033-z
更新日期:2018-06-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,随机对照试验
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
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更新日期:2010-12-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 信件
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pub_type: 杂志文章
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章
doi:10.1007/s10877-020-00481-3
更新日期:2020-02-22 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,评审
doi:10.1007/s10877-009-9201-0
更新日期:2009-10-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
pub_type: 临床试验,杂志文章
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journal_title:Journal of clinical monitoring and computing
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pub_type: 杂志文章,随机对照试验
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journal_title:Journal of clinical monitoring and computing
pub_type: 杂志文章,随机对照试验
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更新日期:2015-02-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
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更新日期:2000-01-01 00:00:00
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journal_title:Journal of clinical monitoring and computing
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journal_title:Journal of clinical monitoring and computing
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