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      Comparison of Different Methods for the Calculation of the Microvascular Flow Index

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          Abstract

          The microvascular flow index (MFI) is commonly used to semiquantitatively characterize the velocity of microcirculatory perfusion as absent (0), intermittent (1), sluggish (2), or normal (3). There are three approaches to compute MFI: (1) the average of the predominant flow in each of the four quadrants (MFI by quadrants), (2) the direct assessment during the bedside video acquisition (MFI point of care), and (3) the mean value of the MFIs determined in each individual vessel (MFI vessel by vessel). We hypothesized that the agreement between the MFIs is poor and that the MFI vessel by vessel better reflects the microvascular perfusion. For this purpose, we analyzed 100 videos from septic patients. In 25 of them, red blood cell (RBC) velocity was also measured. There were wide 95% limits of agreement between MFI by quadrants and MFI point of care (1.46), between MFI by quadrants and MFI vessel by vessel (2.85), and between MFI by point of care and MFI vessel by vessel (2.56). The MFIs significantly correlated with the RBC velocity and with the fraction of perfused small vessels, but MFI vessel by vessel showed the best R 2. Although the different methods for the calculation of MFI reflect microvascular perfusion, they are not interchangeable and MFI vessel by vessel might be better.

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          Most cited references7

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          Quantifying bedside-derived imaging of microcirculatory abnormalities in septic patients: a prospective validation study

          Introduction The introduction of orthogonal polarization spectral (OPS) imaging in clinical research has elucidated new perspectives on the role of microcirculatory flow abnormalities in the pathogenesis of sepsis. Essential to the process of understanding and reproducing these abnormalities is the method of quantification of flow scores. Methods In a consensus meeting with collaboraters from six research centres in different fields of experience with microcirculatory OPS imaging, premeditated qualifications for a simple, translucent and reproducible way of flow scoring were defined. Consecutively, a single-centre prospective observational validation study was performed in a group of 12 patients with an abdominal sepsis and a new stoma. Flow images of the microcirculation in vascular beds of the sublingual and stoma region were obtained, processed and analysed in a standardised way. We validated intra-observer and inter-observer reproducibility with kappa cross-tables for both types of microvascular beds. Results Agreement and kappa coefficients were >85% and >0.75, respectively, for interrater and intrarater variability in quantification of flow abnormalities during sepsis, in different subsets of microvascular architecture. Conclusion Semi-quantitative analysis of microcirculatory flow, as described, provides a reproducible and transparent tool in clinical research to monitor and evaluate the microcirculation during sepsis.
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            Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis

            This study describes a new method for analyzing microcirculatory videos. It introduces algorithms for quantitative assessment of vessel length, diameter, the functional microcirculatory density distribution and red blood-cell (RBC) velocity in individual vessels as well as its distribution. The technique was validated and compared to commercial software. The method was applied to the sublingual microcirculation in a healthy volunteer and in a patient during cardiac surgery. Analysis time was reduced from hours to minutes compared to previous methods requiring manual vessel identification. Vessel diameter was detected with high accuracy (>80%, d > 3 pixels). Capillary length was estimated within 5 pixels accuracy. Velocity estimation was very accurate (>95%) in the range [2.5, 1,000] pixels/s. RBC velocity was reduced by 70% during the first 10 s of cardiac luxation. The present method has been shown to be fast and accurate and provides increased insight into the functional properties of the microcirculation.
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              Comparison of 6% hydroxyethyl starch 130/0.4 and saline solution for resuscitation of the microcirculation during the early goal-directed therapy of septic patients.

              The aim of this study was to show that 6% hydroxyethyl starch (HES) 130/0.4 achieves a better resuscitation of the microcirculation than normal saline solution (SS), during early goal-directed therapy (EGDT) in septic patients. Patients with severe sepsis were randomized for EGDT with 6% HES 130/0.4 (n = 9) or SS (n = 11). Sublingual microcirculation was evaluated by sidestream dark field imaging 24 hours after the beginning of EGDT. On admission, there were no differences in Sequential Organ Failure Assessment score, mean arterial pressure, lactate, or central venous oxygen saturation. After 24 hours, no difference arose in those parameters. Sublingual capillary density was similar in both groups (21 ± 8 versus 20 ± 3 vessels/mm(2)); but capillary microvascular flow index, percent of perfused capillaries, and perfused capillary density were higher in 6% HES 130/0.4 (2.5 ± 0.5 versus 1.6 ± 0.7, 84 ± 15 versus 53 ± 26%, and 19 ± 6 versus 11 ± 5 vessels/mm(2), respectively, P < .005). Fluid resuscitation with 6% HES 130/0.4 may have advantages over SS to improve sublingual microcirculation. A greater number of patients would be necessary to confirm these findings. Copyright © 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Crit Care Res Pract
                Crit Care Res Pract
                CCRP
                Critical Care Research and Practice
                Hindawi Publishing Corporation
                2090-1305
                2090-1313
                2012
                23 April 2012
                : 2012
                : 102483
                Affiliations
                1Servicio de Terapia Intensiva, Clínica Bazterrica, Juncal 3002, C1425AYN Buenos Aires, Argentina
                2Cátedra de Farmacología Aplicada, Facultad de Ciencias Médicas, Universidad Nacional de La Plata, 60 y 120, 1900 La Plata, Argentina
                3Servicio de Terapia Intensiva, Sanatorio Otamendi y Miroli, Azcuénaga 870, C1115AAB Buenos Aires, Argentina
                4Department of Intensive Care Adults Erasmus MC, University Medical Centre Rotterdam, 3000 CA Rotterdam, The Netherlands
                Author notes

                Academic Editor: Michael Piagnerelli

                Article
                10.1155/2012/102483
                3347715
                22593824
                0c33c778-3d19-4068-a334-c9ec4cc85072
                Copyright © 2012 Mario O. Pozo et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 December 2011
                : 16 February 2012
                : 2 March 2012
                Categories
                Research Article

                Emergency medicine & Trauma
                Emergency medicine & Trauma

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