Cardiac output and stroke volume variation measured by the pulse wave transit time method

a comparison with an arterial pressure-based cardiac output system

Takeshi Suzuki, Yuta Suzuki, Jun Okuda, Rie Minoshima, Yoshi Misonoo, Tomomi Ueda, Jungo Kato, Hiromasa Nagata, Takashige Yamada, Hiroshi Morisaki

Research output: Contribution to journalArticle

Abstract

Hemodynamic monitoring is mandatory for perioperative management of cardiac surgery. Recently, the estimated continuous cardiac output (esCCO) system, which can monitor cardiac output (CO) non-invasively based on pulse wave transit time, has been developed. Patients who underwent cardiovascular surgeries with hemodynamics monitoring using arterial pressure-based CO (APCO) were eligible for this study. Hemodynamic monitoring using esCCO and APCO was initiated immediately after intensive care unit admission. CO values measured using esCCO and APCO were collected every 6 h, and stroke volume variation (SVV) data were obtained every hour while patients were mechanically ventilated. Correlation and Bland–Altman analyses were used to compare APCO and esCCO. Welch’s analysis of variance, and four-quadrant plot and polar plot analyses were performed to evaluate the effect of time course, and the trending ability. A p-value < 0.05 was considered statistically significant. Twenty-one patients were included in this study, and 143 and 146 datasets for CO and SVV measurement were analyzed. Regarding CO, the correlation analysis showed that APCO and esCCO were significantly correlated (r = 0.62), and the bias ± precision and percentage error were 0.14 ± 1.94 (L/min) and 69%, respectively. The correlation coefficient, bias ± precision, and percentage error for SVV evaluation were 0.4, − 3.79 ± 5.08, and 99%, respectively. The time course had no effects on the biases between CO and SVV. Concordance rates were 80.3 and 75.7% respectively. While CO measurement with esCCO can be a reliable monitor after cardiovascular surgeries, SVV measurement with esCCO may require further improvement.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalJournal of Clinical Monitoring and Computing
DOIs
Publication statusAccepted/In press - 2018 Jun 14

Fingerprint

Cardiac Volume
Pulse Wave Analysis
Cardiac Output
Stroke Volume
Arterial Pressure
Carbon Monoxide
Hemodynamics
Thoracic Surgery
Intensive Care Units

Keywords

  • Arterial pressure-based cardiac output
  • Cardiovascular surgery patient
  • Estimated continuous cardiac output
  • Non-invasive hemodynamic monitoring
  • Perioperative management

ASJC Scopus subject areas

  • Health Informatics
  • Critical Care and Intensive Care Medicine
  • Anesthesiology and Pain Medicine

Cite this

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title = "Cardiac output and stroke volume variation measured by the pulse wave transit time method: a comparison with an arterial pressure-based cardiac output system",
abstract = "Hemodynamic monitoring is mandatory for perioperative management of cardiac surgery. Recently, the estimated continuous cardiac output (esCCO) system, which can monitor cardiac output (CO) non-invasively based on pulse wave transit time, has been developed. Patients who underwent cardiovascular surgeries with hemodynamics monitoring using arterial pressure-based CO (APCO) were eligible for this study. Hemodynamic monitoring using esCCO and APCO was initiated immediately after intensive care unit admission. CO values measured using esCCO and APCO were collected every 6 h, and stroke volume variation (SVV) data were obtained every hour while patients were mechanically ventilated. Correlation and Bland–Altman analyses were used to compare APCO and esCCO. Welch’s analysis of variance, and four-quadrant plot and polar plot analyses were performed to evaluate the effect of time course, and the trending ability. A p-value < 0.05 was considered statistically significant. Twenty-one patients were included in this study, and 143 and 146 datasets for CO and SVV measurement were analyzed. Regarding CO, the correlation analysis showed that APCO and esCCO were significantly correlated (r = 0.62), and the bias ± precision and percentage error were 0.14 ± 1.94 (L/min) and 69{\%}, respectively. The correlation coefficient, bias ± precision, and percentage error for SVV evaluation were 0.4, − 3.79 ± 5.08, and 99{\%}, respectively. The time course had no effects on the biases between CO and SVV. Concordance rates were 80.3 and 75.7{\%} respectively. While CO measurement with esCCO can be a reliable monitor after cardiovascular surgeries, SVV measurement with esCCO may require further improvement.",
keywords = "Arterial pressure-based cardiac output, Cardiovascular surgery patient, Estimated continuous cardiac output, Non-invasive hemodynamic monitoring, Perioperative management",
author = "Takeshi Suzuki and Yuta Suzuki and Jun Okuda and Rie Minoshima and Yoshi Misonoo and Tomomi Ueda and Jungo Kato and Hiromasa Nagata and Takashige Yamada and Hiroshi Morisaki",
year = "2018",
month = "6",
day = "14",
doi = "10.1007/s10877-018-0171-y",
language = "English",
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journal = "Journal of Clinical Monitoring and Computing",
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T1 - Cardiac output and stroke volume variation measured by the pulse wave transit time method

T2 - a comparison with an arterial pressure-based cardiac output system

AU - Suzuki, Takeshi

AU - Suzuki, Yuta

AU - Okuda, Jun

AU - Minoshima, Rie

AU - Misonoo, Yoshi

AU - Ueda, Tomomi

AU - Kato, Jungo

AU - Nagata, Hiromasa

AU - Yamada, Takashige

AU - Morisaki, Hiroshi

PY - 2018/6/14

Y1 - 2018/6/14

N2 - Hemodynamic monitoring is mandatory for perioperative management of cardiac surgery. Recently, the estimated continuous cardiac output (esCCO) system, which can monitor cardiac output (CO) non-invasively based on pulse wave transit time, has been developed. Patients who underwent cardiovascular surgeries with hemodynamics monitoring using arterial pressure-based CO (APCO) were eligible for this study. Hemodynamic monitoring using esCCO and APCO was initiated immediately after intensive care unit admission. CO values measured using esCCO and APCO were collected every 6 h, and stroke volume variation (SVV) data were obtained every hour while patients were mechanically ventilated. Correlation and Bland–Altman analyses were used to compare APCO and esCCO. Welch’s analysis of variance, and four-quadrant plot and polar plot analyses were performed to evaluate the effect of time course, and the trending ability. A p-value < 0.05 was considered statistically significant. Twenty-one patients were included in this study, and 143 and 146 datasets for CO and SVV measurement were analyzed. Regarding CO, the correlation analysis showed that APCO and esCCO were significantly correlated (r = 0.62), and the bias ± precision and percentage error were 0.14 ± 1.94 (L/min) and 69%, respectively. The correlation coefficient, bias ± precision, and percentage error for SVV evaluation were 0.4, − 3.79 ± 5.08, and 99%, respectively. The time course had no effects on the biases between CO and SVV. Concordance rates were 80.3 and 75.7% respectively. While CO measurement with esCCO can be a reliable monitor after cardiovascular surgeries, SVV measurement with esCCO may require further improvement.

AB - Hemodynamic monitoring is mandatory for perioperative management of cardiac surgery. Recently, the estimated continuous cardiac output (esCCO) system, which can monitor cardiac output (CO) non-invasively based on pulse wave transit time, has been developed. Patients who underwent cardiovascular surgeries with hemodynamics monitoring using arterial pressure-based CO (APCO) were eligible for this study. Hemodynamic monitoring using esCCO and APCO was initiated immediately after intensive care unit admission. CO values measured using esCCO and APCO were collected every 6 h, and stroke volume variation (SVV) data were obtained every hour while patients were mechanically ventilated. Correlation and Bland–Altman analyses were used to compare APCO and esCCO. Welch’s analysis of variance, and four-quadrant plot and polar plot analyses were performed to evaluate the effect of time course, and the trending ability. A p-value < 0.05 was considered statistically significant. Twenty-one patients were included in this study, and 143 and 146 datasets for CO and SVV measurement were analyzed. Regarding CO, the correlation analysis showed that APCO and esCCO were significantly correlated (r = 0.62), and the bias ± precision and percentage error were 0.14 ± 1.94 (L/min) and 69%, respectively. The correlation coefficient, bias ± precision, and percentage error for SVV evaluation were 0.4, − 3.79 ± 5.08, and 99%, respectively. The time course had no effects on the biases between CO and SVV. Concordance rates were 80.3 and 75.7% respectively. While CO measurement with esCCO can be a reliable monitor after cardiovascular surgeries, SVV measurement with esCCO may require further improvement.

KW - Arterial pressure-based cardiac output

KW - Cardiovascular surgery patient

KW - Estimated continuous cardiac output

KW - Non-invasive hemodynamic monitoring

KW - Perioperative management

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