» Articles » PMID: 28327093

Continuous Non-invasive Finger Cuff CareTaker® Comparable to Invasive Intra-arterial Pressure in Patients Undergoing Major Intra-abdominal Surgery

Overview
Journal BMC Anesthesiol
Publisher Biomed Central
Specialty Anesthesiology
Date 2017 Mar 23
PMID 28327093
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Despite increased interest in non-invasive arterial pressure monitoring, the majority of commercially available technologies have failed to satisfy the limits established for the validation of automatic arterial pressure monitoring by the Association for the Advancement of Medical Instrumentation (AAMI). According to the ANSI/AAMI/ISO 81060-2:2013 standards, the group-average accuracy and precision are defined as acceptable if bias is not greater than 5 mmHg and standard deviation is not greater than 8 mmHg. In this study, these standards are used to evaluate the CareTaker® (CT) device, a device measuring continuous non-invasive blood pressure via a pulse contour algorithm called Pulse Decomposition Analysis.

Methods: A convenience sample of 24 patients scheduled for major abdominal surgery were consented to participate in this IRB approved pilot study. Each patient was monitored with a radial arterial catheter and CT using a finger cuff applied to the contralateral thumb. Hemodynamic variables were measured and analyzed from both devices for the first thirty minutes of the surgical procedure including the induction of anesthesia. The mean arterial pressure (MAP), systolic and diastolic blood pressures continuously collected from the arterial catheter and CT were compared. Pearson correlation coefficients were calculated between arterial catheter and CT blood pressure measurements, a Bland-Altman analysis, and polar and 4Q plots were created.

Results: The correlation of systolic, diastolic, and mean arterial pressures were 0.92, 0.86, 0.91, respectively (p < 0.0001 for all the comparisons). The Bland-Altman comparison yielded a bias (as measured by overall mean difference) of -0.57, -2.52, 1.01 mmHg for systolic, diastolic, and mean arterial pressures, respectively with a standard deviation of 7.34, 6.47, 5.33 mmHg for systolic, diastolic, and mean arterial pressures, respectively (p < 0.001 for all comparisons). The polar plot indicates little bias between the two methods (90%/95% CI at 31.5°/52°, respectively, overall bias = 1.5°) with only a small percentage of points outside these lines. The 4Q plot indicates good concordance and no bias between the methods.

Conclusions: In this study, blood pressure measured using the non-invasive CT device was shown to correlate well with the arterial catheter measurements. Larger studies are needed to confirm these results in more varied settings. Most patients exhibited very good agreement between methods. Results were well within the limits established for the validation of automatic arterial pressure monitoring by the AAMI.

Citing Articles

Blunted Blood Pressure Dipping During Night Shift Work: Does It Matter? Can We Intervene?.

Patterson P, Hostler D, Muldoon M, Buysse D, Reis S Am J Ind Med. 2025; 68(4):313-320.

PMID: 39953922 PMC: 11898159. DOI: 10.1002/ajim.23711.


Cuffless Blood Pressure Monitor for Home and Hospital Use.

Tamura T, Huang M Sensors (Basel). 2025; 25(3).

PMID: 39943278 PMC: 11820056. DOI: 10.3390/s25030640.


Reliability of beat-to-beat blood pressure variability in older adults.

Lohman T, Sible I, Shenasa F, Engstrom A, Kapoor A, Alitin J Sci Rep. 2024; 14(1):20197.

PMID: 39215088 PMC: 11364649. DOI: 10.1038/s41598-024-71183-y.


Short-term blood pressure variability and brain functional network connectivity in older adults.

Sible I, Jang J, Blanken A, Alitin J, Engstrom A, Dutt S Neuroimage Rep. 2024; 4(1).

PMID: 38699510 PMC: 11064972. DOI: 10.1016/j.ynirp.2024.100198.


Reliability of beat-to-beat blood pressure variability in older adults.

Lohman T, Sible I, Shenasa F, Engstrom A, Kapoor A, Alitin J Res Sq. 2024; .

PMID: 38699342 PMC: 11065081. DOI: 10.21203/rs.3.rs-4190135/v1.


References
1.
Martina J, Westerhof B, van Goudoever J, de Beaumont E, Truijen J, Kim Y . Noninvasive continuous arterial blood pressure monitoring with Nexfin®. Anesthesiology. 2012; 116(5):1092-103. DOI: 10.1097/ALN.0b013e31824f94ed. View

2.
Critchley L, Lee A, Ho A . A critical review of the ability of continuous cardiac output monitors to measure trends in cardiac output. Anesth Analg. 2010; 111(5):1180-92. DOI: 10.1213/ANE.0b013e3181f08a5b. View

3.
Baruch M, Kalantari K, Gerdt D, Adkins C . Validation of the pulse decomposition analysis algorithm using central arterial blood pressure. Biomed Eng Online. 2014; 13:96. PMC: 4105793. DOI: 10.1186/1475-925X-13-96. View

4.
Kriz J, Seba P . Force plate monitoring of human hemodynamics. Nonlinear Biomed Phys. 2008; 2(1):1. PMC: 2315646. DOI: 10.1186/1753-4631-2-1. View

5.
Saugel B, Grothe O, Wagner J . Tracking Changes in Cardiac Output: Statistical Considerations on the 4-Quadrant Plot and the Polar Plot Methodology. Anesth Analg. 2015; 121(2):514-24. DOI: 10.1213/ANE.0000000000000725. View