Comparison of an automatic analysis and a manual analysis of conjunctival microcirculation in a sheep model of haemorrhagic shock

Intensive Care Medicine Experimental

Volumn 4, Issue 1, 2016, Pages

  Arnemann, Philip Helge ^a   Hessler, Michael ^a   Kampmeier, Tim ^a   Morelli, Andrea ^b   Van Aken, Hugo Karel ^a   Westphal, Martin ^a   Rehberg, Sebastian ^c   Ertmer, Christian ^a  

^a UNIVERSITY HOSPITAL MÜNSTER   (Germany)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

^c UNIVERSITY MEDICINE GREIFSWALD   (Germany)

Author keywords

Analysis; Automatic; Haemorrhagic shock; Manual; Microcirculation

Indexed keywords

HEMOGLOBIN; LACTIC ACID;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; AUTOANALYSIS; BLOOD GAS ANALYSIS; CAPILLARY DENSITY; CONJUNCTIVA; CONTROLLED STUDY; FEMALE; HEART INDEX; HEART RATE; HEART STROKE VOLUME; HEMODYNAMIC MONITORING; HEMORRHAGIC SHOCK; MEAN ARTERIAL PRESSURE; MICROCIRCULATION; NONHUMAN; PRIORITY JOURNAL;

EID: 85022127837     PISSN: None     EISSN: 2197425X     Source Type: Journal    
DOI: 10.1186/s40635-016-0110-5     Document Type: Article

References (23)

1. Edul VSK, Ince C, Vazquez AR et al (2016) Similar microcirculatory alterations in patients with normodynamic and hyperdynamic septic shock. Ann Am Thorac Soc 13:240–247. doi:10.1513/AnnalsATS.201509-606OC
2. Edul VSK, Enrico C, Laviolle B et al (2012) Quantitative assessment of the microcirculation in healthy volunteers and in patients with septic shock. Crit Care Med 40:1443–1448. doi:10.1097/CCM.0b013e31823dae59
3. Trzeciak S, Dellinger RP, Parrillo JE et al (2007) Early microcirculatory perfusion derangements in patients with severe sepsis and septic shock: relationship to hemodynamics, oxygen transport, and survival. Ann Emerg Med 49:88–98. doi:10.1016/j.annemergmed.2006.08.021, 98.e1–2
4. Sakr Y, Dubois M-J, De Backer D et al (2004) Persistent microcirculatory alterations are associated with organ failure and death in patients with septic shock. Crit Care Med 32:1825–1831
5. Vellinga NAR, Boerma EC, Koopmans M et al (2015) International study on microcirculatory shock occurrence in acutely ill patients. Crit Care Med 43:48–56. doi:10.1097/CCM.0000000000000553
6. Goedhart PT, Khalilzada M, Bezemer R et al (2007) Sidestream dark field (SDF) imaging: a novel stroboscopic LED ring-based imaging modality for clinical assessment of the microcirculation. Opt Express 15:15101–15114
7. Aykut G, Veenstra G, Scorcella C et al (2015) Cytocam-IDF (incident dark field illumination) imaging for bedside monitoring of the microcirculation. Intensive Care Med Exp 3:40. doi:10.1186/s40635-015-0040-7
8. Tanaka S, Harrois A, Nicolaï C et al (2015) Qualitative real-time analysis by nurses of sublingual microcirculation in intensive care unit: the MICRONURSE study. Crit Care 19:388. doi:10.1186/s13054-015-1106-3
9. Ince C (2015) Hemodynamic coherence and the rationale for monitoring the microcirculation. Crit Care 19(Suppl 3):S8. doi:10.1186/cc14726
10. Kanoore Edul VS, Ince C, Dubin A (2015) What is microcirculatory shock? Curr Opin Crit Care 21:245–252. doi:10.1097/MCC.0000000000000196
11. De Backer D, Hollenberg S, Boerma C, et al. (2007) How to evaluate the microcirculation: report of a round table conference. In: Crit Care. p R101
12. Hansard SL (1956) Residual organ blood volume of cattle, sheep and swine. Proc Soc Exp Biol Med 91:31–34
13. Massey MJ, Larochelle E, Najarro G et al (2013) The microcirculation image quality score: development and preliminary evaluation of a proposed approach to grading quality of image acquisition for bedside videomicroscopy. J Crit Care 28:913–917. doi:10.1016/j.jcrc.2013.06.015
14. Dobbe JGG, Streekstra GJ, Atasever B et al (2008) Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis. Med Biol Eng Comput 46:659–670. doi:10.1007/s11517-008-0349-4
15. Rankin G, Stokes M (1998) Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses. Clin Rehabil 12:187–199
16. Cicchetti DV (1994) Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess 6:284–290. doi:10.1037/1040-3590.6.4.284
17. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310
18. González R, Urbano J, López J et al (2016) Microcirculatory alterations during haemorrhagic shock and after resuscitation in a paediatric animal model. Injury 47:335–341. doi:10.1016/j.injury.2015.10.075
19. Tachon G, Harrois A, Tanaka S et al (2014) Microcirculatory alterations in traumatic hemorrhagic shock. Crit Care Med 42:1433–1441. doi:10.1097/CCM.0000000000000223
20. Boerma EC, Mathura KR, van der Voort PHJ et al (2005) Quantifying bedside-derived imaging of microcirculatory abnormalities in septic patients: a prospective validation study. Crit Care 9:R601–R606. doi:10.1186/cc3809
21. Yin L, Yang Z, Yu H et al (2016) Changes in sublingual microcirculation is closely related with that of bulbar conjunctival microcirculation in a Rat model of cardiac arrest. Shock 45:428–433. doi:10.1097/SHK.0000000000000508
22. van Elteren HA, Ince C, Tibboel D et al (2015) Cutaneous microcirculation in preterm neonates: comparison between sidestream dark field (SDF) and incident dark field (IDF) imaging. J Clin Monit Comput 29:543–548. doi:10.1007/s10877-015-9708-5
23. Gilbert-Kawai E, Coppel J, Bountziouka V et al (2016) A comparison of the quality of image acquisition between the incident dark field and sidestream dark field video-microscopes. BMC Med Imaging 16:10. doi:10.1186/s12880-015-0078-8