Q-Score: development of a new metric for continuous glucose monitoring that enables stratification of antihyperglycaemic therapies

Table 2 Parameters for four factors identified in the factor analysis ^a

Parameter	FACTORS
	1	2	3	4
	Central tendency and hyperglycaemia	Intra-day variability	Hypoglycaemia	Inter-day variability
Range	0.298	0.903	0.156	0.077
SD	0.320	0.920	0.186	0.078
IQR	0.344	0.863	0.174	0.073
MAGE	0.259	0.901	0.160	0.077
CONGA-6 h	0.302	0.916	0.171	0.025
MBG	0.922	0.260	−0.264	0.055
Median	0.931	0.176	−0.276	0.074
t_{G >8.9 mmol/l}	0.876	0.334	−0.139	0.101
AUC_{G >8.9 mmol/l}	0.906	0.320	−0.027	0.032
HBGI	0.931	0.321	−0.070	0.044
GRADE	0.929	0.348	0.027	0.068
t_{G <3.9 mmol/l}	−0.143	0.195	0.951	0.036
AUC_{G <3.9 mmol/l}	−0.083	0.201	0.954	0.020
LBGI	−0.230	0.189	0.942	0.018
MODD	0.354	0.657	0.139	0.649

^aData are from 1,562 continuous glucose monitoring profiles.
Parameter loadings >0.5 indicate that the given factor was important for interpretation of the factor (denoted in bold).
AUC_G, area under the curve for glucose; CONGA, continuous overall net glycaemic action; GRADE, glycaemic risk assessment for diabetes equation; HBGI, high blood glucose index; IQR, interquartile range; LBGI, low blood glucose index; MAGE, mean amplitude of glycaemic excursions; MBG, mean blood glucose; MODD, mean of daily differences; SD, standard deviation; t_G, time outside glucose target range.

ISSN: 1472-6823