Session: 900. Health Services and Quality Improvement: Hemoglobinopathies: Poster I
Hematology Disease Topics & Pathways:
Research, Sickle Cell Disease, Artificial intelligence (AI), Translational Research, Clinical Research, Hemoglobinopathies, Diseases, Real-world evidence, Emerging technologies, Technology and Procedures, Machine learning
We enrolled 35 participants (26 Female/8 Male, 35 years old ±7 years) diagnosed with SCD (26 Hgb SS, 6 Hgb SC, 2 Hgb Sb+ thalassemia, 1 unknown) in 3 cities (Atlanta, Houston, and Washington D.C) for this investigational study. No participants were excluded from the study due to presence of nailbed discoloration or limited technological competence regarding smartphone use. The study consisted of up to 4 site visits across a total of 8 weeks. At each visit, participants took an app test and received a fingerstick Hgb test for calibration. In between visits, participants took app tests every other day and recorded their symptoms and medications in the app. Finally, participants took usability and acceptance surveys upon completion of the study.
In this study, we found the mean absolute error (MAE) of the test to be ±0.9 g/dL (R2 = 0.6, root mean squared error = ± 1.2 g/dL, 95% limits of agreement = ±2.3 g/dL), which is within the range of accuracy accepted by the FDA. Despite the variability introduced by a significantly anemic population and self-testing in a variety of locations and background lighting conditions, these results are similar to our previously published results obtained in clinical settings (Mannino et. al., Nature Communications, 2018). 10 participants took hydroxyurea (HU) throughout the study, which can cause fingernail discoloration, and 3 more participants took disease modifying drugs that do not discolor fingernails (Voxelotor, Crizanlizumab, L-glutamine). The MAE in the participants who took HU was 0.2 g/dL greater (±1.0 g/dL) than in those not taking any disease-modifying drug (±0.8 g/dL). However, the MAE of the HU group was still within the accepted deviation range. Furthermore, the MAE of the 3 participants who took the non-nail discoloring drugs was ±0.7 g/dL, which coupled with low sample size, does not suggest a significant impact of these drugs on app results. In addition to accuracy, we noticed that app Hgb levels correlated with presence of anemia related symptoms. In tests where users reported symptoms in the app, Hgb levels were significantly different on average 8.3 g/dL, compared to 8.7 g/dL when participants did not report any symptoms (P = 0.04). This suggests that the app was able to pick up small changes in Hgb level when participants felt worse. Study participants were eager to use the app, with 100% of participants taking more than 11 test over the duration of the study, and 91% of participants taking more than 21 tests. Moreover, these participants indicated that they had a positive experience with the app, with 13 indicating they took action based on Hgb measurements resulting in better management of their health. 97% of the participants indicated that they would like to incorporate the app as part of their daily routine after completion of the study. Despite these overall positive results, this study was limited by reliance on self-reporting of symptoms as well as unsupervised app use. This resulted in some protocol deviations that likely introduced variability into the data and forced the exclusion of 2 participants from data analysis.
The correlation between symptoms and Hgb levels calls for future research to better understand the relation of reported symptoms, including vaso-occlusive pain events and Hgb. Overall, the degree of accuracy reported and the correlations between SCD symptoms and Hgb suggest that this noninvasive app is a useful tool for individuals suffering from SCD including users of HU to frequently monitor their Hgb levels, empowering them to better self-manage their condition.
Disclosures: Mannino: Sanguina, Inc.: Current Employment, Current equity holder in private company; Novo Nordisk: Consultancy, Research Funding. Rana: Novo Nordisk: Current Employment, Current equity holder in publicly-traded company. Lam: Sanguina, Inc.: Current equity holder in private company. Hegemann: Novo Nordisk: Current Employment, Current equity holder in publicly-traded company. Madsen: Novo Nordisk: Current Employment, Current equity holder in publicly-traded company. Tyburski: Sanguina, Inc.: Current Employment, Current equity holder in private company; Novo Nordisk: Research Funding.
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