hemodynamic monitoring sensors  (ClearSight)

Journal: Nature Communications

Article Title: Cerebral microcirculation mapped by echo particle tracking velocimetry quantifies the intracranial pressure and detects ischemia

doi: 10.1038/s41467-022-28298-5

Figure Lengend Snippet: a A heatmap of R 2 of the least-squared fits to the functional relationships between a series of hemodynamic parameters and CMC (or V 5 ) for the indicated cerebral regions (as defined in Fig. ). b A heatmap of R 2 of the least-squared fits to the functional relationships between the ICP and the indicated combined hemodynamic-perfusion parameters in several cerebral regions. Here, two-way ANOVA multiple comparison results with Benjamini-Hochberg correction are also demonstrated, where ‘ns’ indicates P = 0.72, ** P = 0.0016, and *** P = 0.0001. c – i Variations of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{\rm{CMC}}}}}}/{{{{{\rm{PP}}}}}}$$\end{document} CMC / PP with ICP, in the: c combined cortical regions (#2–4, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{{\rm{CMC}}}}}}}_{{{{{{\rm{cort}}}}}}}/{{{{{\rm{PP}}}}}}$$\end{document} CMC cort / PP ); d thalamus (#1), and cortical subregions #2 ( e ), #3 ( f ), and #4 ( g ); h combined thalamus and cortical data (#1–4); and ( i ) macro vessel \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{{\rm{V}}}}}}}_{5}/{{{{{\rm{PP}}}}}}$$\end{document} V 5 / PP . Corresponding values of R 2 for the parabolic curve fit, as well as r and P for the two-tailed Pearson correlation are provided for each plot. j – p Trends of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{\rm{PP}}}}}}-(0{{{{{\rm{.17CMC}}}}}}-0.29){{{{{\rm{MAP}}}}}}$$\end{document} PP − ( 0 .17CMC − 0.29 ) MAP with ICP in the: j combined cortical regions (#2–4, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{\rm{PP}}}}}}-(0{{{{{{\rm{.17CMC}}}}}}}_{{{{{{\rm{cort}}}}}}}-0.29){{{{{\rm{MAP}}}}}}$$\end{document} PP − ( 0 .17CMC cort − 0.29 ) MAP ); k thalamus (#1), and cortical subregions #2 ( l ), #3 ( m ), and #4 ( n ); o combined thalamus and cortical data (#1–4); and ( p ) macro vessel \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{\rm{PP}}}}}}-(0.17{{{{{{\rm{V}}}}}}}_{5}-0.29){{{{{\rm{MAP}}}}}}$$\end{document} PP − ( 0.17 V 5 − 0.29 ) MAP . Here, the corresponding R 2 for the fitting, as well as r and P for the two-tailed Pearson correlation are shown. For ( c – p ) the curve fittings are developed based on the original cohort (colored symbols), and validated by validation data (hollow symbols). Subscript ‘ori’ denotes the values based on the original cohort, while ‘all’ denotes the values based on original and validation cohorts combined. Source data for ( a – p ) are provided as a Source Data file.

Article Snippet: The arterial blood pressure signals collected by an invasive hemodynamics monitoring sensor (Millar, USA) were compiled using the Blood Pressure Module of the Labchart software (ADInstruments, USA) to obtain the systolic and diastolic pressures.

Techniques: Functional Assay, Comparison, Two Tailed Test, Biomarker Discovery