Noninvasive cardiac output measurements are inaccurate in patients with severe aortic valve stenosis undergoing transcatheter aortic valve implantation

Musashi Yahagi; Kyuma Omi; Takuma Maeda

doi:10.4097/kja.21324

Korean J Anesthesiol > Volume 75(2); 2022 > Article

Yahagi, Omi, and Maeda: Noninvasive cardiac output measurements are inaccurate in patients with severe aortic valve stenosis undergoing transcatheter aortic valve implantation

Clinical Research Article

Korean Journal of Anesthesiology 2022;75(2):151-159.

Published online: October 20, 2021

DOI: https://doi.org/10.4097/kja.21324

Noninvasive cardiac output measurements are inaccurate in patients with severe aortic valve stenosis undergoing transcatheter aortic valve implantation

Musashi Yahagi¹

, Kyuma Omi¹

, Takuma Maeda²

¹Department of Anesthesiology, Hitachi General Hospital, Hitachi, Japan

²Department of Anesthesiology, National Cerebral and Cardiovascular Center, Suita, Japan

Corresponding author: Musashi Yahagi, M.D.

Department of Anesthesiology, Hitachi General Hospital, 317-0077 2-1-1 Jounanchou, Hitachi, Ibaraki 317-0065, Japan

Tel: +81-0294-23-1111

Fax: +81-0294-23-8317

E-mail: musashi.yahagi.tu@hitachi.com

Received July 22, 2021 Revised October 12, 2021 Accepted October 17, 2021

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Noninvasive cardiac output (CO) measured using ClearSight™ eliminates the need for intra-arterial catheter insertion. The purpose of this study was to examine the accuracy of non-invasive CO measurement in patients with severe aortic stenosis (AS).

Methods

Twenty-eight patients undergoing elective transcatheter aortic valve implantation were prospectively enrolled in this study. The CO was simultaneously measured twice before and twice after valve deployment (total of four times) per patient, and the CO was compared between the ClearSight (CO_ClearSight) system and the pulmonary artery catheter (PAC) thermodilution (CO_TD) method as a reference. The Bland-Altman analysis was used to compare the percentage errors between the methods.

Results

A total of 112 paired data points were obtained. The percentage error between the CO_ClearSight and CO_TD was 43.1%. The paired datasets were divided into the following groups according to the systemic vascular resistance index (SVRI): low (< 1,200 dyne s/cm⁵/m²) and normal (1,200–2,500 dyne s/cm⁵/m²). The percentage errors were 44.9% and 49.4%, respectively. The discrepancy of CO between CO_ClearSight and CO_TD was not significantly correlated with SVRI (r = −0.06, P < 0.001). The polar plot analysis showed the trending ability of the CO_ClearSight after artificial valve deployment was 51.1% which below the acceptable cut-off (92%).

Conclusions

The accuracy and the trending ability of the ClearSight CO measurements were not acceptable in patients with severe AS. Therefore, the ClearSight system is not interchangeable with the PAC thermodilution for determining CO in this population.

Keywords: Aortic valve stenosis; Cardiac output; Pulse wave analysis; Thermodilution; Transcatheter aortic valve replacement; Vascular resistance.

Introduction

For patients who are undergoing transcatheter aortic valve implantation (TAVI), obtaining cardiac output (CO) before and after artificial valve deployment is beneficial for determining its therapeutic effect on aortic stenosis (AS) [1].

The development of a noninvasive CO measurement system using ClearSight™ (Edwards Lifesciences, USA) eliminates the need to insert an intra-arterial catheter. ClearSight is a noninvasive finger cuff pulse contour hemodynamic monitoring system proposed for clinical use in perioperative patients. It consists of a model-based method that provides beat-to-beat measurements of CO by analyzing plethysmography from the arterial pulse form. The main advantage of the finger cuff device is that it is completely noninvasive [2–6]. Therefore, using ClearSight would reduce the number of catheter insertions during TAVI and thus improve patient comfort. Continuous hemodynamic monitoring using the finger cuff should also be considered in patients with contraindications to vascular access (e.g., arteriovenous fistula for hemodialysis) or in those who have scarring due to multiple previous arterial punctures and thus more difficult vascular access. It can also be used during anesthesia induction as a bridge until the arterial catheter is inserted [7,8].

In previous studies, CO measurements using ClearSight were found to be acceptably similar to those using pulmonary artery catheter (PAC) thermodilution in patients with heart failure [2,3]. However, the accuracy and reliability of ClearSight in patients with heart failure have not been evaluated in detail since previous studies have excluded patients with severe valvular disease [3,7,8]. Concerns regarding the precision and accuracy of ClearSight CO measurements in patients with severe AS have been raised and therefore need to be investigated.

This study aimed to compare the CO obtained using ClearSight with that obtained using PAC thermodilution as the reference method in patients undergoing TAVI. We hypothesized that the ClearSight noninvasive pulse contour CO measurements would be an acceptable substitute for invasive CO measurements in patients with severe AS.

Materials and Methods

Patient population

This prospective study was approved by the Institutional Review Board of the Hitachi General Hospital in Japan (Registration No. 2020-48). It was conducted in accordance with the ethical principles for medical research involving human subjects based on the Helsinki Declaration of 2013. Written informed consent was obtained from all patients. Between September 2020 and June 2021, 30 patients undergoing elective TAVI using a PAC (Swan-Ganz Pacing-TD catheter, 7.5 Fr; Edwards Lifesciences, USA) were included. We excluded patients undergoing emergency surgery (< 24 h), those with an intracardiac shunt, and those with conditions requiring mechanical circulatory support. Patients who required temporary pacing until the end of surgery due to complete atrioventricular block resulting from valve implantation were excluded.

Intraoperative management

Induction of general anesthesia was performed using intravenous propofol (1–2 mg/kg) and fentanyl (1.0–1.5 μg/kg). Endotracheal intubation was performed after rocuronium administration (0.6–1.0 mg/kg). For each enrolled patient, a 32-mm 22 G tipped catheter (Terumo Corporation, Japan) was inserted into the left or right radial artery. The ClearSight device with a wrist unit connected to a finger cuff was attached to the arm of the patient on the same side as the catheter and connected to the EV1000 Clinical Platform^TM (Edwards Lifesciences, USA). A triple lumen 16-cm 8.5 Fr central venous catheter (Arrow International Inc., USA) and PAC were inserted into the right internal jugular vein, which was connected to the Monitor Kit^TM (Edwards Lifesciences, USA). All pressure transducers were placed on the mid-axillary line, fixed to the operation table, and zeroed to atmospheric pressure and were connected to the Life Scope G7^TM (Nihon Kohden, Japan). The signal quality of the intra-arterial pressure and ClearSight arterial waveform was checked by visually inspecting the waveform. Correct positioning of the tip of the PAC in the peripheral pulmonary artery at west zone 3 was assessed using transesophageal echocardiography. Anesthesia was maintained with a continuous infusion of propofol (3–5 mg/kg/h) and remifentanil (0.2–0.3 μg/kg/min), and mechanical ventilation was used to maintain end-tidal carbon dioxide at 35 to 40 mmHg. Phenylephrine was administered to avoid a 20% decrease in initial mean blood pressure. The inotropic infusion that was initiated before induction was continued. There were no restrictions regarding the start or use of other inotropes during the procedure. The positive end-expiratory pressure was set between 3 and 5 cmH₂O by the attending physician.

Study protocol

For each patient, four consecutive sets of CO measurements were recorded during the operation using the ClearSight device (CO_ClearSight) and the PAC thermodilution (CO_TD). For the first (T1) and second (T2) time points, one measurement using each method was recorded after the PAC was inserted and before the TAVI under stable hemodynamic conditions, defined as blood pressure and heart rate changes within ± 10% 1 min before the measurements. At the third (T3) and fourth (T4) time points, measurements were obtained with each device after artificial valve deployment under stable hemodynamic conditions, defined as blood pressure and heart rate changes within ± 10% 1 min before measurements. Other hemodynamic parameters (i.e., heart rate, mean arterial pressure, and central venous pressure) were also measured at each time point.

Determining CO_TD

We used thermodilution with ice-cold saline (10 ml bolus injection) to obtain the reference CO measurements. Saline injections were initiated at the end of exhalation. For all patients, six consecutive CO measurements were taken, and the mean of the six measurements was recorded as the CO_TD at that time point.

Determination of CO_ClearSight

The methodology of the ClearSight system for CO monitoring is based on the finger arterial pressure measured using an appropriately-sized finger cuff around the middle phalanx of the middle or index finger, as described previously. Briefly, the finger blood pressure was obtained by changing the cuff pressure using an algorithm called the “physiocal method” [3–5]. Next, the finger arterial pressure waveform was reconstructed into a brachial arterial pressure waveform. Finally, using the area under the systolic portion of the ClearSight blood pressure curve, the CO was estimated from the stroke volume based on the pulse contour method (i.e., based on the cardiac afterload individualized from the Windkessel model) [9]. This model includes age, sex, height, and weight. The CO_ClearSight corresponding to the measured CO_TD was defined as follows: the average of the two CO values displayed on the EV1000 monitor at the beginning and end of the ice-cold saline injection.

Statistical analysis

Data are presented as the mean ± standard deviation or number. The patients’ hemodynamic data were compared at each time point with the previous measurement using the paired t-test and Wilcoxon signed-rank test. The Shapiro-Wilk test was used to analyze the normality of the data. Statistical significance was set at P < 0.05, and all P values were two-tailed. Repeated measures analysis of variance (ANOVA) was used to compare hemodynamic values at the four time points.

Based on a previous report conducted in cardiac surgery and because patients with AS often have low CO, we considered that a mean difference of 0.2 L/min in invasive CO and pulse contour CO would be acceptable. The power analysis showed that 99 comparative data points of mean arterial pressure (MAP) (25 patients) were necessary to detect a difference between sample means of 0.2 L/min (5% type I error rate, 10% type II error rate, expected standard deviation [SD] at 0.5 L/min for both methods). We postulated that the overall success rate of finger cuff CO monitoring would be nearly 80%. Therefore, we decided to include 30 patients in this study [10–13].

We used the Bland-Altman analysis with multiple observations per individual to compare the bias, precision (SD of bias), and limits of agreement (LOA) of each CO technique (CO_ClearSight versus CO_TD) [14–16]. The percentage error (defined as two SDs of the bias divided by the mean of the reference measurements) was calculated to determine the acceptable LOA between each CO measurement technique. Based on previously published results, we determined the percentage error to be < 30%, and the test method was considered interchangeable with the reference measurement method [17–19].

A four-quadrant plot analysis was performed to assess the concordance rate, which was defined as acceptable at > 92% [17–19]. The concordance rate was defined as the percentage of data points lying in the upper right or lower left quadrant after excluding the exclusion zone, which was defined as 5%, as described previously [17,18]. This analysis was performed before and after the TAVI (between T1, T2 and T3, T4). In addition, a polar plot analysis was performed to assess whether the CO_ClearSight was calibrated in relation to the CO_TD. The polar plot analysis revealed agreement between the two methods based on the angle from the line of identity (y = x) and the magnitude of change of the vector length. Agreement was assessed using the following variables: mean angular bias (the mean angle from the axis), radial LOA (radial sector containing 95% of all the data points), and angular concordance rate (the percentage of data within a ± 30° radial zone). The trending ability was defined as excellent based on the following criteria: mean angular bias < ± 5°, angular concordance rate > 95%, and radial LOA < ± 30°, as described previously [17,18]. In addition, the effect of the systemic vascular resistance index (SVRI) on the discrepancy between the CO measurements (CO_TD and CO_ClearSight) was investigated using Pearson’s coefficient. The SVRI was calculated from the CO obtained using the PAC thermodilution method. The formula is as follows: SVRI = (MAP – central venous pressure)/CI_TD × 79.92 (dyne s/cm⁵/m²), where CI_TD = CO_TD/body surface area (L/min/m²).

Statistical analyses were performed using the EZR statistical software (Saitama Medical Center, Jichi Medical University, Saitama, Japan; Available at http://www.jichi.ac.jp/saitama-sct/SaitamaHP.files/statmedEN.html) [20].

Results

In total, 28 patients were enrolled, and 112 paired data points were obtained for analysis. Two of the first 30 patients enrolled in the study were excluded from the analysis because we were unable to obtain a reliable photoplethysmographic signal due to an incorrectly-sized finger cuff. None of the patients required additional inotropic medications during the procedure. Table 1 presents information related to the patients’ baseline characteristics, history, echocardiographic parameters, procedure data, and hemodynamic support received during the operation. Table 2 shows the hemodynamic data at each time point. The repeated measures ANOVA for heart rate, MAP, and SVRI showed significant differences between the time points (F[3,108] = 4.91, P < 0.001; F[3,108] = 9.37, P < 0.001; F[3,108] = 6.32, P < 0.001, respectively).

The Bland-Altman analysis was used to compare the MAP and CO derived from the noninvasive ClearSight method and the invasive reference method for all measurements. The bias and LOA between the MAP_ClearSight and the MAP were 0.4 ± 7.0 (95% CI [−13.5, 14.3] and [−13.3, 14.1] mmHg, respectively). The percentage error was 16.2%. The bias and LOA between the CO_ClearSight and CO_TD were −0.58 ± 0.80 (95% CI [−2.17, 1.01] and [−2.14, 0.98] L/min, respectively) (Fig. 1A). The percentage error was 43.1%, indicating that the CO_ClearSight had a wide LOA with the CO_TD. Next, we performed a subanalysis of the measured CO sets divided into two SVRI groups as follows: SVRI < 1,200 (dyne s/cm⁵/m²) (59 sets; low group) and 1,200 (dyne s/cm⁵/m²) ≤ SVRI < 2,500 (dyne s/cm⁵/m²) (51 sets; normal group). The bias and LOA between the CO_ClearSight and CO_TD were −0.70 ± 0.92 (95% CI [−2.56, 1.17] and [−2.49, 1.12] L/min) in the low group and −0.46 ± 0.80 (95% CI [−2.08, 1.16] and [−2.03 to 1.11] L/min) in the normal group. The percentage errors in the low and normal groups were 44.9% and 49.4%, respectively (Figs. 1B and 1C). The discrepancy in CO (CO_TD and CO_ClearSight) was not significantly correlated with the SVRI (r = -0.06, P < 0.001) (Fig. 2). A weak positive correlation was noted between the CO_TD and the percent difference (CO_TD – CO_ClearSight) / CO_TD (r = 0.24, P < 0.001) (Fig. 3).

The concordance rate of the four-quadrant plot analysis showed a poor trending ability for the CO_ClearSight measurement (60.3% after artificial valve deployment) (Supplementary Digital Content Fig. 1). Similarly, the polar plot analysis showed a poor trending ability for the CO_ClearSight after artificial valve deployment, with a mean angular bias of 2.4°, a radial limit of agreement of 39.1°, and an angular concordance rate of 51.1% (Fig. 4). The angular concordance rate was below the acceptable limit (> 95%).

Discussion

The main finding of the present study was that the CO derived from ClearSight is not as accurate as that measured by PAC thermodilution. Thus, ClearSight cannot provide a valuable alternative to invasive CO measurement techniques in patients with severe AS who require TAVI.

Some previous studies referring to the inaccuracy of ClearSight CO measurements have reported that ClearSight had an accuracy below the clinically acceptable level for low or high SVRI (< 1,200 or > 3000 dyne s/cm⁵/m²) and a low CO [3,13]. The data obtained in this study were analyzed by dividing the dataset into two groups according to the SVRI (low and normal groups), in accordance with previous studies. The percentage errors obtained for both groups did not meet Crichery’s criteria. In addition, no correlation was found between the SVRI and the difference between the CO_TD and CO_ClearSight. Our results indicate that the accuracy of the ClearSight CO measurements in patients with severe AS is poor, even with a normal SVRI. Previous studies have shown that the inaccuracy of CO_ClearSight is caused by the bias between the actual arterial blood pressure and ClearSight-measured arterial blood pressure under abnormal SVRI conditions, which affects the accuracy of CO measurements [13]. CO_ClearSight was calculated using the pulse contour method based on the assumption that the systolic waveform area of the arterial line corresponds to the single-beat volume. If a variation in SVR occurs, the arterial pressure waveform changes, and the calculated CO becomes inaccurate [3,13,21].

In this study, the discrepancy between the CO_ClearSight and the CO_TD occurred because of factors unrelated to the SVRI. These findings therefore differ from those of previous studies that have claimed the SVRI to be the cause of discrepancies in CO_ClearSight measurements. The inaccurate CO_ClearSight measurements in this study occurred because the evaluated patients had AS heart failure with a relatively low ejection fraction and CO. The cutoff for inaccurate CO_ClearSight measurements has been reported in previous studies to be a cardiac index < 2.5 (L/min/m²). In this study, 60 (53%) datasets had a cardiac index < 2.5, which may have contributed to the discrepancy between the CO measurement methods [21,22]. We predicted that CO would increase after AS was released during TAVI, and the accuracy of the ClearSight would be within acceptable limits at T3 and T4. However, the CO measurements before and after valve deployment were not significantly different. This was because the rapid pacing caused a temporary loss of cardiac contractility in this study, which was not restored for several hours after valve implantation, not even after the decrease in body vascular resistance from T1 to T4, causing the CO to be low for some time [23]. However, for all datasets, we found only a weak positive correlation between the CO_TD and CO_TD – CO_ClearSight percent change, and the CO_ClearSight was found to be inaccurate based on the CO_TD measurements. This is related to the poor CO tracking ability of ClearSight. Previous studies have reported that ClearSight is generally good at tracking CO changes, with levels of agreement between 84% and 100%, but that it loses its tracking ability during rapid hemodynamic events, such as aortic clamping [21,23-26]. Those studies used pre-specified hemodynamic interventions such as phenylephrine administration or fluid challenge to assess the trending ability of ClearSight against CO or when rapid hemodynamic changes occurred during surgery [2-6,27]. In this study, we did not provide instructions for the administration of vasoactive drugs or inotropic agents but observed the ability of ClearSight to follow trends before and after TAVI. The time points for comparison were every few tens of seconds in previous studies, but every few tens of minutes in this study, which was more gradual than in previous studies [13,21,22]. However, in the present study, the rate of agreement after prosthetic valve deployment according to the four-quadrant plot analysis was 60.3%, which was much lower than the cutoff value for acceptable trending ability (92%) [17]. The angular concordance rate for the polar plot analysis was 51.1%, which also indicated a low rate of agreement (Fig. 4). Thus, we can reasonably assume that the large bias between the CO_TD and CO_ClearSight for all datasets in this study affected the ability of ClearSight to follow CO trends.

This study had several limitations. First, we marked the timing of the thermodilution intermittent CO measurements in the ClearSight recording, as it proved difficult to obtain absolutely synchronized CO measurements. This was circumvented by averaging the ClearSight measurements before and after the cold saline bolus. Second, all patients received continuous infusions of phenylephrine for hemodynamic stability, which might have affected the accuracy of the CO measurements using ClearSight. Some studies have reported that the use of vasoconstrictors affects the accuracy of ClearSight [3,13,21,26]. Third, some of our patients had aortic regurgitation, which might have affected our results. Since the ClearSight pulse contour analysis method used was based on the afterload determined from the Windkessel model, it was designed based on an ideal condition with no aortic regurgitation, which might have affected our results [3,9].

In conclusion, in this study, the present study revealed that CO_ClearSight is not as accurate as transpulmonary thermodilution for measuring CO. Therefore, ClearSight cannot be used in patients with severe AS undergoing TAVI.

Acknowledgments

The authors would like to thank Makoto Tanaka, M.D., Ph.D. (Department of Anesthesiology, University of Tsukuba, Japan) and the company Edwards Lifesciences (Irvine, CA, USA) for kindly providing all the facilities necessary for hemodynamic monitoring using the ClearSight and Swan-Ganz catheter systems. The manufacturer had no input in the design or conduct of the study or in the decision to submit the manuscript for publication.

NOTES

Funding

None.

Conflicts of Interest

No potential conflict of interest relevant to this article was reported.

Author Contributions

Musashi Yahagi (Methodology; Writing – original draft)

Kyuma Omi (Data curation; Writing – review & editing)

Takuma Maeda (Writing – review & editing)

Supplementary Materials

Supplemental Digital Content Fig. 1.

Four-quadrant plot analysis used to examine the trending ability for the ΔCO_ClearSight compared with that for the ΔCO_TD after artificial valve deployment. The shaded gray area is the exclusion zone that was set as the percentage change in cardiac output (CO) < 5%. ΔCO_ClearSight: cardiac output change measured with ClearSight, ΔCO_TD: cardiac output change measured with PAC thermodilution.

kja-21324-suppl.pdf

Fig. 1.

(A) Bland-Altman plot (112 paired data points) between the pulmonary artery catheter thermodilution cardiac output (CO) and the noninvasive finger cuff pulse contour CO. The Bland-Altman plot shows the mean bias (right line) and LOA (dashed lines). (B) Bland-Altman plot (59 paired data points, SVRI < 1,200 dyne s/cm⁵/m²) between pulmonary artery catheter thermodilution cardiac output (CO) and noninvasive finger cuff pulse contour CO. The Bland-Altman plot shows the mean bias (right line) and LOA (dashed lines). (C) Bland-Altman plot (51 paired data points, 1,200 dyne s/cm⁵/m² ≤ SVRI < 2,500 dyne s/cm⁵/m²) between pulmonary artery catheter thermodilution cardiac output (CO) and noninvasive finger cuff pulse contour CO. The Bland-Altman plot shows the mean bias (right line) and LOA (dashed lines). CO: cardiac output, SD: standard deviation, CO_ClearSight: cardiac output measured with ClearSight, CO_TD: cardiac output measured with pulmonary artery catheter thermodilution, SVRI: systemic vascular resistance index.

Fig. 2.

Correlation between systemic vascular resistance index (SVRI) and bias in cardiac output (CO). CO_ClearSight: cardiac output measured with ClearSight, CO_TD: cardiac output measured with pulmonary artery catheter thermodilution, SVRI: systemic vascular resistance index.

Fig. 3.

Correlation between CO_TD and percent difference ([CO_TD − CO_ClearSight] / CO_TD). CO_ClearSight: cardiac output measured with ClearSight, CO_TD: cardiac output measured with pulmonary artery catheter thermodilution.

Fig. 4.

Polar plots used to examine the trending ability for change in cardiac output (CO) measured using ClearSight compared with the change in CO measured by thermodilution using a pulmonary arterial catheter before and after artificial valve deployment. The shaded gray area is the exclusion zone that was set as the percentage change in CO < 5%. ΔCO, percent change in cardiac output.

Table 1.

Patient Characteristics

	All patients (n = 28)
Age range (yr)	75–91
Sex (M/F)	14 / 14
Height (cm)	152.7 ± 8.8
Body weight (kg)	52.8 ± 10.6
BSA (m²)	1.48 ± 0.2
Cardiac rhythm (sinus/AF)	25/3
Hypertension (yes/no)	18/10
Diabetes (yes/no)	8/20
COPD (yes/no)	5/23
CKD (yes/no)	9/19
Anemia (yes/no)	9/19
Echo parameters
EF (%)	48.3 ± 6.9
AR (mild/trivial/none)	7/13/8
Mean pressure gradient (mmHg)	48.8 ± 15.8
Peak pressure gradient (mmHg)	88.7 ± 26.8
Aortic valve area (cm²)	0.7 ± 0.2
Procedural data
Procedure time (min)	97 ± 20
Bleeding > 50 ml (yes/no)	3/25
Transfusion (yes/no)	2/26
PVL (mild/trivial/none)	1/20/7
Hemodynamic support
Patients receiving phenylephrine	28
Mean dose (µg/kg/min)	0.4 ± 0.1
Patients receiving dobutamine	2
Mean dose (µg/kg/min)	2.5 ± 0.5

Values are presented as mean ± SD or number. BSA: body surface area, AF: atrial fibrillation, COPD: chronic obstructive pulmonary disease, CKD: chronic kidney disease, EF: ejection fraction, AR: aortic regurgitation, PVL: paravalvular leakage.

Table 2.

Changes in Hemodynamic Data according to Time Course

	T1	T2	T3	T4	All (n = 112)	RM-ANOVA
HR (beats/min)	56.2 ± 7.6	55.8 ± 8.2	62.3 ± 9.0^†	62.1 ± 8.9	59.1 ± 8.9	F = 4.91
HR (beats/min)	[41–71]	[39–75]	[49–87]	[49–87]	[39–87]	P < 0.01
MAP (mmHg)	94.3 ± 13.4	91.3 ± 13.5	79.8 ± 13.5^‡	78.4 ± 14.2	85.9 ± 15.3	F = 9.37
MAP (mmHg)	[65–126]	[65–116]	[40–115]	[60–114]	[40–126]	P < 0.001
CVP (mmHg)	5.6 ± 1.6	5.5 ± 1.6	4.6 ± 2.3^*	4.8 ± 2.3	5.1 ± 2.1	F = 1.90
CVP (mmHg)	[3–9]	[4–9]	[1–9]	[1–9]	[1–9]	P = 0.13
PAP mean (mmHg)	23.5 ± 3.9	NA	19.8 ± 4.2^‡	NA	21.6 ± 4.4	NA
PAP mean (mmHg)	[17–31]	NA	[12–29]	NA	[12–31]	NA
PCWP (mmHg)	13.7 ± 3.5	NA	NA	NA	13.7 ± 3.5	NA
PCWP (mmHg)	[8–25]	NA	NA	NA	[8–25]	NA
SV_TD (ml)	62 ± 12	66 ± 13	61 ± 14	64 ± 14	63 ± 13	F = 0.84
SV_TD (ml)	[38–93]	[42–92]	[30–101]	[30–94]	[30–101]	P = 0.47
CO_TD (L/min)	3.5 ± 0.7	3.7 ± 0.7	3.7 ± 0.8	3.9 ± 0.8	3.7 ± 0.7	F = 2.11
CO_TD (L/min)	[2.5–4.8]	[2.8–5.0]	[2.2–5.6]	[2.5–5.0]	[2.2–5.6]	P = 0.10
CO_ClearSight (L/min)	2.1 ± 0.8	2.5 ± 0.9	2.8 ± 1.1	2.7 ± 0.9	3.1 ± 0.8	F = 1.11
CO_ClearSight (L/min)	[1.4–6.1]	[1.6–4.3]	[1.7–4.8]	[1.9–4.4]	[1.4–6.1]	P = 0.35
SVRI_TD (dyne s/cm⁵/m²)	1,471 ± 459	1,327 ± 404^‡	1,174 ± 426^‡	1,090 ± 414^‡	1,265 ± 451	F = 6.32
SVRI_TD (dyne s/cm⁵/m²)	[835–2,628]	[893–2,880]	[610–2,096]	[519–2,171]	[519–2,628]	P < 0.001
PE _{(TD vs ClearSight)} (%)	0.493	0.571	0.49	0.328	0.431	NA

Values are presented as mean ± SD, range or number. HR: heart rate, MAP: mean arterial pressure measured using radial artery catheter, CVP: central venous pressure, PAP: pulmonary artery pressure, PCWP: pulmonary capillary wedge pressure, SV_TD: stroke volume from pulmonary artery catheter measurement, CO_TD: cardiac output measured by pulmonary artery catheter thermodilution, CO_ClearSight: cardiac output measured with ClearSight, SVRI_TD: systemic vascular resistance index calculated from pulmonary artery catheter thermodilution, PE: percentage error, PE _{(TD vs ClearSight)}: percentage error between CO_TD and CO_ClearSight, T1: immediately after pulmonary artery catheter insertion, T2: 5 min after T1, T3: immediately after artificial valve implantation, T4: 5 min after T3, RM-ANOVA: repeated measures analysis of variance, NA: not available. ^*P < 0.05, ^†P < 0.01, ^‡P < 0.001 as compared with the previous measurement. F-values and P values are shown as a result of the comparison of hemodynamic values at the four time points using repeated measures analysis of variance.

References

1. Hamilton MA, Cecconi M, Rhodes A. A systematic review and meta-analysis on the use of preemptive hemodynamic intervention to improve postoperative outcomes in moderate and high-risk surgical patients. Anesth Analg 2011; 112: 1392-402.

2. Vincent JL, Rhodes A, Perel A, Martin GS, Della Rocca G, Vallet B, et al. Clinical review: update on hemodynamic monitoring--a consensus of 16. Crit Care 2011; 15: 229.

3. Ameloot K, Palmers PJ, Malbrain ML. The accuracy of noninvasive cardiac output and pressure measurements with finger cuff: a concise review. Curr Opin Crit Care 2015; 21: 232-9.

4. Bubenek-Turconi SI, Craciun M, Miclea I, Perel A. Noninvasive continuous cardiac output by the Nexfin before and after preload-modifying maneuvers: a comparison with intermittent thermodilution cardiac output. Anesth Analg 2013; 117: 366-72.

5. Heusdens JF, Lof S, Pennekamp CW, Specken-Welleweerd JC, de Borst GJ, van Klei WA, et al. Validation of non-invasive arterial pressure monitoring during carotid endarterectomy. Br J Anaesth 2016; 117: 316-23.

6. Fischer MO, Avram R, Cârjaliu I, Massetti M, Gérard JL, Hanouz JL, et al. Non-invasive continuous arterial pressure and cardiac index monitoring with Nexfin after cardiac surgery. Br J Anaesth 2012; 109: 514-21.

7. Critchley LA, Lee A, Ho AM. A critical review of the ability of continuous cardiac output monitors to measure trends in cardiac output. Anesth Analg 2010; 111: 1180-92.

8. Sangkum L, Liu GL, Yu L, Yan H, Kaye AD, Liu H. Minimally invasive or noninvasive cardiac output measurement: an update. J Anesth 2016; 30: 461-80.

9. Westerhof N, Lankhaar JW, Westerhof BE. The arterial Windkessel. Med Biol Eng Comput 2009; 47: 131-41.

10. Broch O, Renner J, Gruenewald M, Meybohm P, Schöttler J, Caliebe A, et al. A comparison of the Nexfin® and transcardiopulmonary thermodilution to estimate cardiac output during coronary artery surgery. Anaesthesia 2012; 67: 377-83.

11. Suzuki T, Suzuki Y, Okuda J, Minoshima R, Misonoo Y, Ueda T, et al. Cardiac output and stroke volume variation measured by the pulse wave transit time method: a comparison with an arterial pressure-based cardiac output system. J Clin Monit Comput 2019; 33: 385-92.

12. Boisson M, Poignard ME, Pontier B, Mimoz O, Debaene B, Frasca D. Cardiac output monitoring with thermodilution pulse-contour analysis vs. non-invasive pulse-contour analysis. Anaesthesia 2019; 74: 735-40.

13. Mukai A, Suehiro K, Kimura A, Tanaka K, Yamada T, Mori T, et al. Effect of systemic vascular resistance on the reliability of noninvasive hemodynamic monitoring in cardiac surgery. J Cardiothorac Vasc Anesth 2021; 35: 1782-91.

14. Mantha S, Roizen MF, Fleisher LA, Thisted R, Foss J. Comparing methods of clinical measurement: reporting standards for bland and altman analysis. Anesth Analg 2000; 90: 593-602.

15. Bland JM, Altman DG. Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat 2007; 17: 571-82.

16. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1: 307-10.

17. Critchley LA, Critchley JA. A meta-analysis of studies using bias and precision statistics to compare cardiac output measurement techniques. J Clin Monit Comput 1999; 15: 85-91.

18. Critchley LA, Yang XX, Lee A. Assessment of trending ability of cardiac output monitors by polar plot methodology. J Cardiothorac Vasc Anesth 2011; 25: 536-46.

19. Peyton PJ, Chong SW. Minimally invasive measurement of cardiac output during surgery and critical care: a meta-analysis of accuracy and precision. Anesthesiology 2010; 113: 1220-35.

20. Kanda Y. Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant 2013; 48: 452-8.

21. Sumiyoshi M, Maeda T, Miyazaki E, Hotta N, Sato H, Hamaguchi E, et al. Accuracy of the ClearSight™ system in patients undergoing abdominal aortic aneurysm surgery. J Anesth 2019; 33: 364-71.

22. Kanazawa H, Maeda T, Miyazaki E, Hotta N, Ito S, Ohnishi Y. Accuracy and trending ability of blood pressure and cardiac index measured by ClearSight system in patients with reduced ejection fraction. J Cardiothorac Vasc Anesth 2020; 34: 3293-9.

23. Grube E, Sinning JM. The "Big Five” complications after transcatheter aortic valve replacement: do we still have to be afraid of them? JACC Cardiovasc Interv 2019; 12: 370-2.

24. Schraverus P, Kuijpers MM, Coumou J, Boly CA, Boer C, van Kralingen S. Level of agreement between cardiac output measurements using Nexfin® and thermodilution in morbidly obese patients undergoing laparoscopic surgery. Anaesthesia 2016; 71: 1449-55.

25. Ostergaard M, Nielsen J, Rasmussen JP, Berthelsen PG. Cardiac output--pulse contour analysis vs. pulmonary artery thermodilution. Acta Anaesthesiol Scand 2006; 50: 1044-9.

26. Bartels SA, Stok WJ, Bezemer R, Boksem RJ, van Goudoever J, Cherpanath TG, et al. Noninvasive cardiac output monitoring during exercise testing: nexfin pulse contour analysis compared to an inert gas rebreathing method and respired gas analysis. J Clin Monit Comput 2011; 25: 315-21.

27. Bogert LW, Wesseling KH, Schraa O, van Lieshout EJ, de Mol BA, van Goudoever J, et al. Pulse contour cardiac output derived from non-invasive arterial pressure in cardiovascular disease. Anaesthesia 2010; 65: 1119-25.