Table 1.
Specificity and sensitivity of the method according to Ct values and different prevalence rates of the disease.
| Sensitivity (%) |
Specificity (%) |
PPV (%) |
NPV (%) |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Positive samples (n) | 95 % CI |
Negative samples (n) | 95 % CI |
Prevalence |
Prevalence |
||||||||
| 1% | 5% | 1% | 5% | ||||||||||
| Total | 102/110 | 92.7 | 86.2 | 96.8 | 133/136 | 97.8 | 93.7 | 99.5 | 29.8 | 68.9 | 99.9 | 99.6 | |
| Ct groups | <20 | 22/22 | 100 | 84.6 | 100 | 31.4 | 70.5 | 100 | 100 | ||||
| 20−25 | 22/22 | 100 | 84.6 | 100 | 31.4 | 70.5 | 100 | 100 | |||||
| 25−30 | 22/22 | 100 | 84.6 | 100 | 31.4 | 70.5 | 100 | 100 | |||||
| 30−35 | 21/22 | 95.5 | 77.2 | 100 | 30.4 | 69.5 | 100 | 99.8 | |||||
| <20−35 (total) | 87/88 | 98.9 | 93.8 | 100 | 31.2 | 70.2 | 100 | 100 | |||||
| >35 | 15/22 | 68.2 | 45.1 | 86.1 | 23.8 | 61.9 | 99.7 | 98.3 | |||||
● Sensitivity, that is the probability that a test result will be positive when the disease is present (true positive rate) was calculated for each group according to the following type: a / (a + b).
● Specificity, that is the probability that a test result will be negative when the disease is not present (true negative rate) was calculated according to the following type: d / (c + d).
● Positive predictive value, that is the probability that the disease is present when the test is positive was calculated for each group according to the following type:
PPV = Se x Prevalence / Se x Prevalence + (1-Sp) x (1-Prevalence).
● Negative predictive value, that is the probability that the disease is not present when the test is negative was calculated for each group according to the following type:
NPV = Sp x (1-Prevalence) / (1-Se) x Prevalence + Sp x (1-Prevalence).