$PROG As we eagerly await the data for PRO-104, here is a refresher of the previously released data for Preecludia. If I missed anything major let me know Remember 20-30% of pregnant women will have signs/symptoms of preeclampsia while only 5% of pregnant women are diagnosed with it. Having a high NPV (negative predictive value) will be a helpful diagnostic tool in ruling out the disease. NPV = the probability that people who get a negative test result truly do not have the disease. PRO-105 Study (Feasibility & Optimization study)
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PRO-129 Study results (Prospective, blinded verification data from over 300 patients) Notably, the NPV is 97% which is fantastic and a sensitivity of almost 90% which is also good. A question I initially had was how can a test have a relatively high sensitivity but low positive predictive value? Positive predictive values are influenced by how common the disease is in the population being tested; if the disease is very common, a person with a positive test result is more likely to have the disease than if a person has a positive test than in a population where the disease is rare. Since the incidence of pre-eclampsia was low (16% in this study group) it is not surprising the PPV was low despite having a sensitivity of 87.8% More info on PRO-129 can be found on the poster presentation here progenity.com/publications/...
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