Table 4.
Sample Sizea and Study Duration Estimates for Binary Hypoglycemia Outcomes in a Nocturnal Hypoglycemia Prevention Trialb
| Treatment effect (intervention versus control) | Nights per subject | Unadjustedc | |
|---|---|---|---|
| Total subjects | Total nights | ||
| Outcome threshold 70 mg/dl | |||
| 25% versus 12.5% | 14 | 26 | 364 |
| 28 | 13 | 364 | |
| 42 | 9 | 378 | |
| 56 | 7 | 392 | |
| 25% versus 8.3% | 14 | 13 | 182 |
| 28 | 7 | 196 | |
| 42 | 5 | 210 | |
| 56 | 4 | 224 | |
| Outcome threshold 60 mg/dl | |||
| 15% versus 7.5% | 14 | 47 | 658 |
| 28 | 24 | 672 | |
| 42 | 16 | 672 | |
| 56 | 12 | 672 | |
| 15% versus 5% | 14 | 24 | 336 |
| 28 | 12 | 336 | |
| 42 | 8 | 336 | |
| 56 | 6 | 336 | |
The sample size estimates apply to a study design using any type of CGM device with false positive and false negative rates comparable to those described in the text.
Assuming two-tailed test with alpha = 0.05 and 90% power.
Binomial variance decreased by 12% to account for subject serving as their own control in the crossover design. Correlation from repeated nights from the same subject using sensor data were estimated from data obtained in the JDRF CGM RCT.6 As described in the text, for an outcome threshold of 70 mg/dl, the number of nights should be increased by a factor of 3 to account for misclassification and increased by a factor of 5 for a threshold of 60 mg/dl.