The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology

Abstract Background Mean arterial pressure (MAP), bispectral index (BIS), and minimum alveolar concentration (MAC) represent valuable, yet dynamic intraoperative monitoring variables. They provide information related to poor outcomes when considered together, however their collective behavior across...

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Main Authors: Michael P. Schnetz, Harry S. Hochheiser, David J. Danks, Douglas P. Landsittel, Keith M. Vogt, James W. Ibinson, Steven L. Whitehurst, Sean P. McDermott, Melissa Giraldo Duque, Ata M. Kaynar
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Medical Research Methodology
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Online Access:http://link.springer.com/article/10.1186/s12874-019-0660-9
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spelling doaj-26ee53f2e4d642ac86736735557dad0f2020-11-25T01:23:32ZengBMCBMC Medical Research Methodology1471-22882019-01-0119111410.1186/s12874-019-0660-9The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiologyMichael P. Schnetz0Harry S. Hochheiser1David J. Danks2Douglas P. Landsittel3Keith M. Vogt4James W. Ibinson5Steven L. Whitehurst6Sean P. McDermott7Melissa Giraldo Duque8Ata M. Kaynar9Department of Anesthesiology, University of PittsburghDepartment of Biomedical Informatics, University of PittsburghDepartments of Philosophy and Psychology, Carnegie Mellon UniversityDepartment of Biomedical Informatics, University of PittsburghDepartment of Anesthesiology, University of PittsburghDepartment of Anesthesiology, University of PittsburghDepartment of Anesthesiology, University of PittsburghDepartment of Anesthesiology, University of PittsburghDepartment of Anesthesiology, University of PittsburghDepartment of Anesthesiology, University of PittsburghAbstract Background Mean arterial pressure (MAP), bispectral index (BIS), and minimum alveolar concentration (MAC) represent valuable, yet dynamic intraoperative monitoring variables. They provide information related to poor outcomes when considered together, however their collective behavior across time has not been characterized. Methods We have developed the Triple Variable Index (TVI), a composite variable representing the sum of z-scores from MAP, BIS, and MAC values that occur together during surgery. We generated a TVI expression profile, defined as the sequential TVI values expressed across time, for each surgery where concurrent MAP, BIS, and MAC monitoring occurred in an adult patient (≥18 years) at the University of Pittsburgh Medical Center between January and July 2014 (n = 5296). Patterns of TVI expression were identified using k-means clustering and compared across numerous patient, procedure, and outcome characteristics. TVI and the triple low state were compared as prediction models for 30-day postoperative mortality. Results The median frequency MAP, BIS, and MAC were recorded was one measurement every 3, 5, and 5 min. Three expression patterns were identified: elevated, mixed, and depressed. The elevated pattern displayed the highest average MAP, BIS, and MAC values (86.5 mmHg, 45.3, and 0.98, respectively), while the depressed pattern displayed the lowest values (76.6 mmHg, 38.0, 0.66). Patterns (elevated, mixed, depressed) were distinct across the following characteristics: average patient age (52, 53, 54 years), American Society of Anesthesiologists Physical Status 4 (6.7, 16.1, 27.3%) and 5 (0.1, 0.6, 1.6%) categories, cardiac (2.2, 6.5, 16.1%) and emergent (5.8, 10.5, 12.8%) surgery, cardiopulmonary bypass use (0.3, 2.6, 9.8%), intraoperative medication administration including etomidate (3.0, 7.3, 12.6%), hydromorphone (47.6, 26.3, 25.2%), ketamine (11.2, 4.6, 3.0%), dexmedetomidine (18.4, 16.6, 13.6%), phenylephrine (74.0, 74.8, 83.0), epinephrine (2.0, 6.0, 18.0%), norepinephrine (2.4, 7.5, 21.2%), vasopressin (3.4, 7.6, 21.0%), succinylcholine (74.0, 69.0, 61.9%), intraoperative hypotension (28.8, 33.0, 52.3%) and the triple low state (9.4, 30.3, 80.0%) exposure, and 30-day postoperative mortality (0.8, 2.7, 5.6%). TVI was a better predictor of patients that died or survived in the 30 days following surgery compared to cumulative triple low state exposure (AUC 0.68 versus 0.62, p < 0.05). Conclusions Surgeries that share similar patterns of TVI expression display distinct patient, procedure, and outcome characteristics.http://link.springer.com/article/10.1186/s12874-019-0660-9Triple variable indexTriple low stateMean arterial pressureBispectral indexMinimum alveolar concentrationK-means clustering
collection DOAJ
language English
format Article
sources DOAJ
author Michael P. Schnetz
Harry S. Hochheiser
David J. Danks
Douglas P. Landsittel
Keith M. Vogt
James W. Ibinson
Steven L. Whitehurst
Sean P. McDermott
Melissa Giraldo Duque
Ata M. Kaynar
spellingShingle Michael P. Schnetz
Harry S. Hochheiser
David J. Danks
Douglas P. Landsittel
Keith M. Vogt
James W. Ibinson
Steven L. Whitehurst
Sean P. McDermott
Melissa Giraldo Duque
Ata M. Kaynar
The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
BMC Medical Research Methodology
Triple variable index
Triple low state
Mean arterial pressure
Bispectral index
Minimum alveolar concentration
K-means clustering
author_facet Michael P. Schnetz
Harry S. Hochheiser
David J. Danks
Douglas P. Landsittel
Keith M. Vogt
James W. Ibinson
Steven L. Whitehurst
Sean P. McDermott
Melissa Giraldo Duque
Ata M. Kaynar
author_sort Michael P. Schnetz
title The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
title_short The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
title_full The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
title_fullStr The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
title_full_unstemmed The triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
title_sort triple variable index combines information generated over time from common monitoring variables to identify patients expressing distinct patterns of intraoperative physiology
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2019-01-01
description Abstract Background Mean arterial pressure (MAP), bispectral index (BIS), and minimum alveolar concentration (MAC) represent valuable, yet dynamic intraoperative monitoring variables. They provide information related to poor outcomes when considered together, however their collective behavior across time has not been characterized. Methods We have developed the Triple Variable Index (TVI), a composite variable representing the sum of z-scores from MAP, BIS, and MAC values that occur together during surgery. We generated a TVI expression profile, defined as the sequential TVI values expressed across time, for each surgery where concurrent MAP, BIS, and MAC monitoring occurred in an adult patient (≥18 years) at the University of Pittsburgh Medical Center between January and July 2014 (n = 5296). Patterns of TVI expression were identified using k-means clustering and compared across numerous patient, procedure, and outcome characteristics. TVI and the triple low state were compared as prediction models for 30-day postoperative mortality. Results The median frequency MAP, BIS, and MAC were recorded was one measurement every 3, 5, and 5 min. Three expression patterns were identified: elevated, mixed, and depressed. The elevated pattern displayed the highest average MAP, BIS, and MAC values (86.5 mmHg, 45.3, and 0.98, respectively), while the depressed pattern displayed the lowest values (76.6 mmHg, 38.0, 0.66). Patterns (elevated, mixed, depressed) were distinct across the following characteristics: average patient age (52, 53, 54 years), American Society of Anesthesiologists Physical Status 4 (6.7, 16.1, 27.3%) and 5 (0.1, 0.6, 1.6%) categories, cardiac (2.2, 6.5, 16.1%) and emergent (5.8, 10.5, 12.8%) surgery, cardiopulmonary bypass use (0.3, 2.6, 9.8%), intraoperative medication administration including etomidate (3.0, 7.3, 12.6%), hydromorphone (47.6, 26.3, 25.2%), ketamine (11.2, 4.6, 3.0%), dexmedetomidine (18.4, 16.6, 13.6%), phenylephrine (74.0, 74.8, 83.0), epinephrine (2.0, 6.0, 18.0%), norepinephrine (2.4, 7.5, 21.2%), vasopressin (3.4, 7.6, 21.0%), succinylcholine (74.0, 69.0, 61.9%), intraoperative hypotension (28.8, 33.0, 52.3%) and the triple low state (9.4, 30.3, 80.0%) exposure, and 30-day postoperative mortality (0.8, 2.7, 5.6%). TVI was a better predictor of patients that died or survived in the 30 days following surgery compared to cumulative triple low state exposure (AUC 0.68 versus 0.62, p < 0.05). Conclusions Surgeries that share similar patterns of TVI expression display distinct patient, procedure, and outcome characteristics.
topic Triple variable index
Triple low state
Mean arterial pressure
Bispectral index
Minimum alveolar concentration
K-means clustering
url http://link.springer.com/article/10.1186/s12874-019-0660-9
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