author_facet Sekimoto, M.
Fukui, M.
Fujita, K.
Sekimoto, M.
Fukui, M.
Fujita, K.
author Sekimoto, M.
Fukui, M.
Fujita, K.
spellingShingle Sekimoto, M.
Fukui, M.
Fujita, K.
Anaesthesia
Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
Anesthesiology and Pain Medicine
author_sort sekimoto, m.
spelling Sekimoto, M. Fukui, M. Fujita, K. 0003-2409 1365-2044 Wiley Anesthesiology and Pain Medicine http://dx.doi.org/10.1111/j.1365-2044.1997.249-az0389.x <jats:p>We studied seven analytical methods of estimating the plasma volume from the decay curves of indocyanine green. Fifteen volunteers received 1.0 mgkg<jats:sup>−1</jats:sup> of the dye by intravenous injection and the plasma concentration was measured continuously using spectrophotometry. Plasma volumes were calculated using three single‐regression methods (1‐a, 1‐b, 1‐c) and four biexponential regression methods (2‐a, 2‐b, 2‐c, 2‐d). The means (SD) of 1‐a, 1‐b and 1‐c were 39 (5.0), 44 (5.7) and 54 (11.5) mlkg<jats:sup>−1</jats:sup>, respectively, and these were significantly different from each other (p &lt; 0.05). The values for methods 2‐b, 2‐c and 2‐d were similar to each other: 39 (4.6), 40 (4.1) and 40 (4.0) mlkg<jats:sup>−1</jats:sup>, respectively. These required more than 3 min circulation or mixing time. When the time allowed for mixing was less than 3 min (method 2‐a) the plasma volume was underestimated. We conclude that plasma volume estimation using indocyanine green and spectrophotometry is most accurate when the mixing time is adequate (3–5 min) and the decay curves are analysed using biexponential regression.</jats:p> Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves Anaesthesia
doi_str_mv 10.1111/j.1365-2044.1997.249-az0389.x
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publishDateSort 1997
publisher Wiley
recordtype ai
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series Anaesthesia
source_id 49
title Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_unstemmed Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_full Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_fullStr Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_full_unstemmed Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_short Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_sort plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
topic Anesthesiology and Pain Medicine
url http://dx.doi.org/10.1111/j.1365-2044.1997.249-az0389.x
publishDate 1997
physical 1166-1172
description <jats:p>We studied seven analytical methods of estimating the plasma volume from the decay curves of indocyanine green. Fifteen volunteers received 1.0 mgkg<jats:sup>−1</jats:sup> of the dye by intravenous injection and the plasma concentration was measured continuously using spectrophotometry. Plasma volumes were calculated using three single‐regression methods (1‐a, 1‐b, 1‐c) and four biexponential regression methods (2‐a, 2‐b, 2‐c, 2‐d). The means (SD) of 1‐a, 1‐b and 1‐c were 39 (5.0), 44 (5.7) and 54 (11.5) mlkg<jats:sup>−1</jats:sup>, respectively, and these were significantly different from each other (p &lt; 0.05). The values for methods 2‐b, 2‐c and 2‐d were similar to each other: 39 (4.6), 40 (4.1) and 40 (4.0) mlkg<jats:sup>−1</jats:sup>, respectively. These required more than 3 min circulation or mixing time. When the time allowed for mixing was less than 3 min (method 2‐a) the plasma volume was underestimated. We conclude that plasma volume estimation using indocyanine green and spectrophotometry is most accurate when the mixing time is adequate (3–5 min) and the decay curves are analysed using biexponential regression.</jats:p>
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author Sekimoto, M., Fukui, M., Fujita, K.
author_facet Sekimoto, M., Fukui, M., Fujita, K., Sekimoto, M., Fukui, M., Fujita, K.
author_sort sekimoto, m.
container_issue 12
container_start_page 1166
container_title Anaesthesia
container_volume 52
description <jats:p>We studied seven analytical methods of estimating the plasma volume from the decay curves of indocyanine green. Fifteen volunteers received 1.0 mgkg<jats:sup>−1</jats:sup> of the dye by intravenous injection and the plasma concentration was measured continuously using spectrophotometry. Plasma volumes were calculated using three single‐regression methods (1‐a, 1‐b, 1‐c) and four biexponential regression methods (2‐a, 2‐b, 2‐c, 2‐d). The means (SD) of 1‐a, 1‐b and 1‐c were 39 (5.0), 44 (5.7) and 54 (11.5) mlkg<jats:sup>−1</jats:sup>, respectively, and these were significantly different from each other (p &lt; 0.05). The values for methods 2‐b, 2‐c and 2‐d were similar to each other: 39 (4.6), 40 (4.1) and 40 (4.0) mlkg<jats:sup>−1</jats:sup>, respectively. These required more than 3 min circulation or mixing time. When the time allowed for mixing was less than 3 min (method 2‐a) the plasma volume was underestimated. We conclude that plasma volume estimation using indocyanine green and spectrophotometry is most accurate when the mixing time is adequate (3–5 min) and the decay curves are analysed using biexponential regression.</jats:p>
doi_str_mv 10.1111/j.1365-2044.1997.249-az0389.x
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imprint Wiley, 1997
imprint_str_mv Wiley, 1997
institution DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15
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publisher Wiley
record_format ai
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spelling Sekimoto, M. Fukui, M. Fujita, K. 0003-2409 1365-2044 Wiley Anesthesiology and Pain Medicine http://dx.doi.org/10.1111/j.1365-2044.1997.249-az0389.x <jats:p>We studied seven analytical methods of estimating the plasma volume from the decay curves of indocyanine green. Fifteen volunteers received 1.0 mgkg<jats:sup>−1</jats:sup> of the dye by intravenous injection and the plasma concentration was measured continuously using spectrophotometry. Plasma volumes were calculated using three single‐regression methods (1‐a, 1‐b, 1‐c) and four biexponential regression methods (2‐a, 2‐b, 2‐c, 2‐d). The means (SD) of 1‐a, 1‐b and 1‐c were 39 (5.0), 44 (5.7) and 54 (11.5) mlkg<jats:sup>−1</jats:sup>, respectively, and these were significantly different from each other (p &lt; 0.05). The values for methods 2‐b, 2‐c and 2‐d were similar to each other: 39 (4.6), 40 (4.1) and 40 (4.0) mlkg<jats:sup>−1</jats:sup>, respectively. These required more than 3 min circulation or mixing time. When the time allowed for mixing was less than 3 min (method 2‐a) the plasma volume was underestimated. We conclude that plasma volume estimation using indocyanine green and spectrophotometry is most accurate when the mixing time is adequate (3–5 min) and the decay curves are analysed using biexponential regression.</jats:p> Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves Anaesthesia
spellingShingle Sekimoto, M., Fukui, M., Fujita, K., Anaesthesia, Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves, Anesthesiology and Pain Medicine
title Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_full Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_fullStr Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_full_unstemmed Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_short Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_sort plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
title_unstemmed Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves
topic Anesthesiology and Pain Medicine
url http://dx.doi.org/10.1111/j.1365-2044.1997.249-az0389.x