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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 3:

Outcome metrics comparing exAPD algorithm versus the exMPC algorithm in the 2 h after structured exercise started on the in-clinic day

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

% time below range (<3·9 mmol/L)* 4·9 (14·4) 1·4 (4·2) −3·5 (15·4) 0·29 0·13 0·11
% time in range (3·9–10·0 mmol/L)* 81 (22) 87 (17) 6 (26) 0·25 0·70 >0·99
% high glucose (>10 mmol/L)* 14·2 (20·2) 11·5 (16·6) −2·7 (21·4) 0·50 0·29 0·30
% very low glucose (<3·0 mmol/L) 0·57 (2·67) 0 ·· ·· ·· ··
% very high glucose (>13·9 mmol/L) 1·14 (3·68) 0 ·· ·· ·· ··
Mean glucose (mmol/L) 8·0 (1·7) 7·3 (1·6) −0·8 (1·4) 0·023 0·34 0·64
Rescue carbohydrate (count) 0·27 (0·55) 0·21 (0·41) −0·06 (0·77)
Insulin (units) 1·5 (0·9) 1·7 (2·0) 0·2 (1·6) 0·60 0·90 0·95

Data are mean (SD) or difference (SD). The p value for sequence indicates the significance of the sequence of doing the exAPD versus 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 mixed effects regression model on insulin units.