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. Author manuscript; available in PMC: 2023 Oct 6.
Published in final edited form as: Lancet Digit Health. 2023 Aug 3;5(9):e607–e617. doi: 10.1016/S2589-7500(23)00112-7

Table 2:

Outcome metrics comparing the exAPD algorithm versus the exMPC algorithm during the primary in-clinic session

exAPD exMPC Difference p value (exAPD vs exMPC) p value (sequence) p value (period)

% time below range (<3·9 mmol/L)* 2·5 (7·0) 1·3 (2·9) −1·2 (7·3) 0·46 0·50 0·22
% time in range (3·9–10·0 mmol/L) 59·4 (23·1) 63·2 (23·9) 3·8 (29·8) 0·49 0·41 0·047
% high glucose (>10 mmol/L) 38·1 (21·4) 35·5 (24·4) −2·6 (28·4) 0·63 0·34 0·012
% very low glucose (<3·0 mmol/L) 0·27 (0·87) 0 ·· ·· ·· ··
% very high glucose (>13·9 mmol/L) 8·0 (15·8) 7·5 (11·4) −0·5 (16·0) 0·87 0·65 0·24
Mean glucose (mmol/L) 9·4 (1·6) 9·2 (1·6) −0·2 (1·8) 0·63 0·59 0·15
Rescue carbohydrate (count) 1·09 (2·16) 0·58 (0·93) −0·51 (2·36) 0·33 0·31 0·33
Insulin (units) 21·2 (8·0) 21·4 (10·0) 0·3 (4·7) 0·94 0·60 0·60

Data are mean (SD) or difference (SD). The p value for sequence indicates the significance of the sequence of doing the exAPD verus exMPC first. The p value for the period indicates whether the order of doing the intervention, regardless of the type, was significant. exAPD=exercise-aware adaptive proportional derivative. exMPC=exercise-aware model predictive control.

*

p values estimated using bootstrapped standard errors.

p values from negative binomial (count) regression model.

p values from mixed effects regression model on insulin units.