Microcirculatory perfusion disturbances in septic shock: results from the ProCESS trial

Table 6 Relationship between macrocirculatory and microcirculatory parameters

	MAP	SBP	DBP	Heart rate	CVP	MAP − CVP	Lactate
TVD (mm/mm²)	− 0.038 (0.018)	− 0.076 (0.34)	0.075 (0.30)	− 0.01 (0.396)	0.32 (0.031)	− 0.15 (0.17)	− 0.071 (0.59)
PVD small (mm/mm²)	0.022 (0.61)	0.032 (0.26)	−0.004 (0.93)	− 0.005 (0.738)	− 0.011 (0.91)	0.024 (0.56)	− 0.457 (0.07)
De Backer score	− 0.034 (0.75)	− 0.032 (0.58)	− 0.023 (0.83)	− 0.002 (767)	0.23 (0.048)	− 0.065 (0.47)	− 0.188 (0.27)
Heterogeneity index	− 0.001 (0.92)	− 0.004 (0.59)	0.16 (< 0.001)	− 0.012 (0.02)	0.051 (0.015)	− 0.01 (0.40)	0.004 (0.91)
MFI	0.00 (0.89)	0.00 (0.68)	0.00 (0.91)	0.001 (0.738)	− 0.028 (< 0.001)	0.003 (0.075)	− 0.013 (0.057)
PPV (%)	0.001 (0.75)	0.00 (0.75)	0.00 (0.79)	0.001 (0.301)	− 0.005 (0.11)	0.001 (0.39)	− 0.022 (0.24)

Abbreviations: MAP Mean arterial pressure, SBP Systolic blood pressure, DBP Diastolic blood pressure, CVP Central venous pressure, TVD Total vascular density, PVD Perfused vascular density, MFI Microcirculatory flow index, PPV Proportion of perfused vessels
We used generalized estimating equation models to evaluate the association between the macrocirculatory and microcirculatory parameters adjusted for age and Charlson score. For TVD, PVD, and De Backer scores that were normally distributed, we used linear models as link functions; for MFI, PPV due to the skewness, we applied gamma distribution with log-link functions and for heterogeneity index, Tweedie distribution was chosen due to the abundance of observations at 0. Beta with (p value) is shown
Boldface indicates p<0.05

ISSN: 1364-8535