Mathieu Magnin1, Élisa Foulon2, Thibaut Lurier3, Bernard Allaouchiche4, Jeanne-Marie Bonnet-Garin5, Stéphane Junot6. 1. Université de Lyon, VetAgro Sup, APCSe Agressions Pulmonaires et Circulatoires dans le Sepsis, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France; Université de Lyon, Vetagro Sup, Unité de Physiologie, Pharmacodynamie et Thérapeutique, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France. Electronic address: mathieu.magnin@vetagro-sup.fr. 2. Université de Lyon, VetAgro Sup, APCSe Agressions Pulmonaires et Circulatoires dans le Sepsis, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France; Université de Lyon, Vetagro Sup, Unité de Physiologie, Pharmacodynamie et Thérapeutique, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France. Electronic address: elisa.foulon@vetagro-sup.fr. 3. Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, Theix, F-63122 Saint-Genès-Champanelle, France; Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France; Université de Lyon, INRAE, VetAgro Sup, Usc 1233 UR RS2GP, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France. Electronic address: thibaut.lurier@vetagro-sup.fr. 4. Université de Lyon, VetAgro Sup, APCSe Agressions Pulmonaires et Circulatoires dans le Sepsis, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France; Université de Lyon, Hospices Civils de Lyon, Centre Hospitalier Lyon Sud, Réanimation Médicale, 165 Chemin du Grand Revoyet, F-69310 Pierre-Bénite, France. Electronic address: bernard.allaouchiche@gmail.com. 5. Université de Lyon, VetAgro Sup, APCSe Agressions Pulmonaires et Circulatoires dans le Sepsis, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France; Université de Lyon, Vetagro Sup, Unité de Physiologie, Pharmacodynamie et Thérapeutique, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France. Electronic address: jeanne-marie.bonnet@vetagro-sup.fr. 6. Université de Lyon, VetAgro Sup, APCSe Agressions Pulmonaires et Circulatoires dans le Sepsis, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France; Université de Lyon, VetAgro Sup, Service d'Anesthésie-Analgésie, 1 avenue Bourgelat, F-69280 Marcy l'Etoile, France. Electronic address: stephane.junot@vetagro-sup.fr.
Abstract
OBJECTIVE: The aims of the study were to evaluate the influence of hemodynamic status on pressure artifacts and the impact of pressure artifacts on microcirculatory flow. METHODS: Sublingual microcirculation was assessed using a Sidestream Dark Field handheld imaging device in 7 anesthetized piglets, submitted to pharmacologically-induced blood pressure variations. For each video, a pressure score of 0, 1, or 10 was assigned for the category "pressure artifacts" of the "microcirculation image quality score". Videos with a pressure score of 0 and 1 were considered as "passing videos". The videos with a score of 10 were considered as "failing videos". Multivariate logistic regression models and multivariate linear mixed models with individual random effects were used. RESULTS: As blood pressure decreased, the probability of obtaining a "failing video" increased (P = 0.0008). Pressure scores of 10 influenced significantly the perfused De Backer score (small and all vessels), the proportion of perfused vessels (small and all vessels), the microvascular flow index and the heterogeneity index. Pressure scores of 1 influenced significantly the parameters above-mentioned, except the perfused De Backer score for all vessels. CONCLUSION: The probability of obtaining pressure artifacts during recording of microcirculation videos was higher when the arterial pressure was low. The presence of acceptable pressure artifacts also influenced microcirculation analysis.
OBJECTIVE: The aims of the study were to evaluate the influence of hemodynamic status on pressure artifacts and the impact of pressure artifacts on microcirculatory flow. METHODS: Sublingual microcirculation was assessed using a Sidestream Dark Field handheld imaging device in 7 anesthetized piglets, submitted to pharmacologically-induced blood pressure variations. For each video, a pressure score of 0, 1, or 10 was assigned for the category "pressure artifacts" of the "microcirculation image quality score". Videos with a pressure score of 0 and 1 were considered as "passing videos". The videos with a score of 10 were considered as "failing videos". Multivariate logistic regression models and multivariate linear mixed models with individual random effects were used. RESULTS: As blood pressure decreased, the probability of obtaining a "failing video" increased (P = 0.0008). Pressure scores of 10 influenced significantly the perfused De Backer score (small and all vessels), the proportion of perfused vessels (small and all vessels), the microvascular flow index and the heterogeneity index. Pressure scores of 1 influenced significantly the parameters above-mentioned, except the perfused De Backer score for all vessels. CONCLUSION: The probability of obtaining pressure artifacts during recording of microcirculation videos was higher when the arterial pressure was low. The presence of acceptable pressure artifacts also influenced microcirculation analysis.