【2h】

Letter to editor

机译:致编辑的信

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摘要

Interpreting COVID-19 antibody tests. The implications of pre-test probabilities of 5% and 50% on the interpretation of COVID-19 antibody test if 1000 people were tested. The Cochrane review identified a mean sensitivity of 91.4% and mean specificity of 98.7% and these are here used for illustrative purposes. For the 5% pre-test probability, e.g. a patient with no symptoms but answers yes to a triage question, should the test have a lower sensitivity, particularly if the peak incidence and therefore likely time of infection is > 35 days ago, this would proportionally increase the false-negative and false-positive rate substantially. For example, for 57% specificity, the false-negative rate is 2.1% and the false-positive rate would be 21%. In contrast, if the pre-test probability is 50%, e.g. patient has atypical symptoms for several weeks, a positive test is compelling due to the low false-positive result, but the false-negative rate is still high at 8%. Antibody tests have high specificity, but sensitivity is variable and depends on the time since symptom onset
机译:解释Covid-19抗体测试。预测概率的影响5%和50%关于Covid-19抗体试验的解释,如果测试1000人。 Cochrane Review确定了91.4%的平均敏感性,平均特异性为98.7%,并且这些目的在这里用于说明目的。对于5%的预测试概率,例如,没有症状的患者,但对分类问题答案是什么,如果测试具有较低的敏感性,特别是如果峰值发生,特别是在35天前的感染可能的时间,这将是按比例增加假阴性和假阳性大幅度。例如,对于57%的特异性,假负率为2.1%,假阳性率为21%。相比之下,如果预测试概率为50%,例如,患者有非典型症状持续数周,由于低阳性结果,阳性测试是引人注目的,但假阴性率仍高8%。抗体试验具有很高的特异性,但敏感性是可变的,并且取决于症状发作以来的时间

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