Table 2.
Impact of Variant/Mutation Frequency Among Locally Circulating Viruses and Influence on Efficacy on NNT of Monoclonal Antibodiesa
| Mutation Making mAbs Ineffective | Mutation Making mAbs 50% Less Effective | Mutation Making mAbs 25% Less Effective | |||||
|---|---|---|---|---|---|---|---|
| Mutation Frequency, % | Not Treated Hospitalization Rate, % | mAb Treated Hospitalization Rate, % | NNT | mAb Treated Hospitalization Rate, % | NNT | mAb Treated Hospitalization Rate, % | NNT |
| 0 | 7 | 2 | 20 | 2 | 20 | 2 | 20 |
| 10 | 7 | 2.5 | 22 | 2.25 | 21 | 2.13 | 21 |
| 20 | 7 | 3 | 25 | 2.5 | 22 | 2.25 | 21 |
| 30 | 7 | 3.5 | 29 | 2.75 | 24 | 2.38 | 22 |
| 40 | 7 | 4 | 33 | 3 | 25 | 2.5 | 22 |
| 50 | 7 | 4.5 | 40 | 3.25 | 27 | 2.63 | 23 |
| 60 | 7 | 5 | 50 | 3.5 | 29 | 2.75 | 24 |
Abbreviation: NNT, number needed to treat.
aTo determine the impact of mutation frequency/effect on monoclonal antibodies, the following process was followed. The 5% absolute difference between treatment and no treatment was multiplied by the mutation frequency (eg, 0.1 for 10%) and the impact the mutation has on efficacy (eg, 0.5 for a 50% decrease in efficacy). The sum of these numbers was then subtracted from the 5% absolute difference to determine the new absolute difference (eg, 5 × 0.1 × 0.5 = 0.25; 5 – 0.25 = 4.75) and then subtracted from the untreated event rate to determine the new event rate for treated patients (eg, 7 – 4.75 = 2.25%). The new absolute difference was then used to calculate the NNT (eg, 100/4.75 = NNT 21).