Literature DB >> 23963774

Evaluation of the estimated continuous cardiac output monitoring system in adults and children undergoing kidney transplant surgery: a pilot study.

Takashi Terada1, Yumi Maemura, Akiko Yoshida, Rika Muto, Ryoichi Ochiai.   

Abstract

Evaluation of the estimated continuous cardiac output (esCCO) allows non-invasive and continuous assessment of cardiac output. However, the applicability of this approach in children has not been assessed thus far. We compared the correlation coefficient, bias, standard deviation (SD), and the lower and upper 95 % limits of agreement for esCCO and dye densitography-cardiac output (DDG-CO) measurements by pulse dye densitometry (PDD) in adults and children. On the basis of these assessments, we aimed to examine whether esCCO can be used in pediatric patients. DDG-CO was measured by pulse dye densitometry (PDD) using indocyanine green. Modified-pulse wave transit time, obtained using pulse oximetry and electrocardiography, was used to measure esCCO. Correlations between DDG-CO and esCCO in adults and children were analyzed using regression analysis with the least squares method. Differences between the two correlation coefficients were statistically analyzed using a correlation coefficient test. Bland-Altman plots were used to evaluate bias and SD for DDG-CO and esCCO in both adults and children, and 95 % limits of agreement (bias ± 1.96 SD) and percentage error (1.96 SD/mean DDG-CO) were calculated and compared. The average age of the adult patients (n = 10) was 39.3 ± 12.1 years, while the average age of the pediatric patients (n = 7) was 9.4 ± 3.1 years (p < 0.001). For adults, the correlation coefficient was 0.756; bias, -0.258 L/min; SD, 1.583 L/min; lower and upper 95 % limits of agreement for DDG-CO and esCCO, -3.360 and 2.844 L/min, respectively; and percentage error, 42.7 %. For children, the corresponding values were 0.904; -0.270; 0.908; -2.051 and 1.510 L/min, respectively; and 35.7 %. Due to the high percentage error values, we could not establish a correlation between esCCO and DDG-CO. However, the 95 % limits of agreement and percentage error were better in children than in adults. Due to the high percentage error, we could not confirm a correlation between esCCO and DDG-CO. However, the agreement between esCCO and DDG-CO seems to be higher in children than in adults. These results suggest that esCCO can also be used in children. Future studies with bigger study populations will be required to further investigate these conclusions.

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Year:  2013        PMID: 23963774     DOI: 10.1007/s10877-013-9501-2

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  14 in total

1.  The relationship between modified pulse wave transit time and cardiovascular changes in isoflurane anesthetized dogs.

Authors:  R Ochiai; J Takeda; H Hosaka; Y Sugo; R Tanaka; T Soma
Journal:  J Clin Monit Comput       Date:  1999-12       Impact factor: 2.502

2.  A novel continuous cardiac output monitor based on pulse wave transit time.

Authors:  Yoshihiro Sugo; Teiji Ukawa; Sunao Takeda; Hironori Ishihara; Tomiei Kazama; Junzo Takeda
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Is it a bird? Is it a plane? The role of patient monitors in medical decision making.

Authors:  Jeffrey M Feldman
Journal:  Anesth Analg       Date:  2009-03       Impact factor: 5.108

4.  Estimation of stroke volume in the dog by a pulse contour method.

Authors:  N T Kouchoukos; L C Sheppard; D A McDonald
Journal:  Circ Res       Date:  1970-05       Impact factor: 17.367

5.  Use of transesophageal Doppler ultrasonography in ventilated pediatric patients: derivation of cardiac output.

Authors:  S M Tibby; M Hatherill; I A Murdoch
Journal:  Crit Care Med       Date:  2000-06       Impact factor: 7.598

Review 6.  Minimally invasive measurement of cardiac output during surgery and critical care: a meta-analysis of accuracy and precision.

Authors:  Philip J Peyton; Simon W Chong
Journal:  Anesthesiology       Date:  2010-11       Impact factor: 7.892

7.  Estimation of circulating blood volume in infants using the pulse dye densitometry method.

Authors:  Keiko Nagano; Takashi Kusaka; Kensuke Okubo; Saneyuki Yasuda; Hitoshi Okada; Masanori Namba; Kou Kawada; Tadashi Imai; Kenichi Isobe; Susumu Itoh
Journal:  Paediatr Anaesth       Date:  2005-02       Impact factor: 2.556

Review 8.  Minimally invasive cardiac output monitoring in the perioperative setting.

Authors:  Duane J Funk; Eugene W Moretti; Tong J Gan
Journal:  Anesth Analg       Date:  2009-03       Impact factor: 5.108

9.  Cardiac output measurement by pulse dye densitometry using three wavelengths.

Authors:  Nobuko Taguchi; Satoshi Nakagawa; Katsuyuki Miyasaka; Masayoshi Fuse; Takuo Aoyagi
Journal:  Pediatr Crit Care Med       Date:  2004-07       Impact factor: 3.624

10.  The ability of a new continuous cardiac output monitor to measure trends in cardiac output following implementation of a patient information calibration and an automated exclusion algorithm.

Authors:  Hironori Ishihara; Yoshihiro Sugo; Masato Tsutsui; Takashige Yamada; Tetsufumi Sato; Toshimasa Akazawa; Nobukazu Sato; Koichi Yamashita; Junzo Takeda
Journal:  J Clin Monit Comput       Date:  2012-08-02       Impact factor: 2.502

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  4 in total

Review 1.  Accuracy and precision of minimally-invasive cardiac output monitoring in children: a systematic review and meta-analysis.

Authors:  Koichi Suehiro; Alexandre Joosten; Linda Suk-Ling Murphy; Olivier Desebbe; Brenton Alexander; Sang-Hyun Kim; Maxime Cannesson
Journal:  J Clin Monit Comput       Date:  2015-08-29       Impact factor: 2.502

Review 2.  Year in review in journal of clinical monitoring and computing 2014: cardiovascular and hemodynamic monitoring.

Authors:  Karim Bendjelid; Steffen Rex; Thomas Scheeren; Lester Critchley
Journal:  J Clin Monit Comput       Date:  2015-03-05       Impact factor: 2.502

3.  Evaluation of pulse wave transit time analysis for non-invasive cardiac output quantification in pregnant patients.

Authors:  Emmanuel Schneck; Pascal Drubel; Rainer Schürg; Melanie Markmann; Thomas Kohl; Michael Henrich; Michael Sander; Christian Koch
Journal:  Sci Rep       Date:  2020-02-05       Impact factor: 4.379

4.  Pulse-wave transit time with ventilator-induced variation for the prediction of fluid responsiveness.

Authors:  Koichi Yamashita
Journal:  Acute Med Surg       Date:  2020-01-27
  4 in total

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