A CONTROLLED CLINICAL STUDY TO EVALUATE A PROPRIETARY NON-INVASIVESMARTPHONE BASED DIGITAL BIOMARKER TOOL LYFAS® IN ENABLING EARLYDETECTION OF COVID-19 INFECTION AMONG ASYMPTOMATIC INDIVIDUALS
Notice bibliographique
Résumé
Coronavirus disease 2019 (COVID-19), is a pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With the increasing number of individuals infected with COVID-19, there is a growing need for easy, dependable, accurate, scalable, and cost-effective tools. These tools should serve the purpose of population screening/surveillance, diagnosis, and prognosis. Unlike the other pandemics in the past, the current viral infection presents itself with long incubation period up to 14days. This situation is challenging because it results in an extremely high proportion of asymptomatic individuals (up to 80% and more). These individuals in turn contribute to high risk of transmission among the vulnerable population with coexisting diseases and the aged. Currently, the real time PCR test and serology is being largely employed only in symptomatic individuals. Therefore, there is a need for a dependable additional test to identify the asymptomatic individuals, to qualify them for the conrmatory rtPCR and/or serology tests. To meet these the above requirement, we decided to repurpose and test our proprietary non-invasive smartphone-based health screening mobile application Lyfas. The validated parameters captured from Lyfas were found to be inherent indicators of several cardiorespiratory, cardiovascular, autonomic nervous system, hematology and biochemistry anomalies. Apparently, these anomalies were also found and reported as early indicators of COVID-19 infection. Therefore, by means of rationale selection of these parameters, we derived a unique LYFAS_COVID_SCORE to enable detection and prioritize conrmatory testing for asymptomatic individuals. A controlled clinical study was conducted in 25(n=25) subjects to prove the hypothesis and establish the difference in LYFAS_COVID_SCORE between an infected and non-infected group of individuals. The LYFAS_COVID_SCORE derived out of this clinical study was found to be different between the two groups. The positive infected test group had a signicantly high(p=.00012) median score of 19.8(range 9.9 to 22.1) compared to 6.9(range 2.2 to 7.8) that of the healthy uninfected control group. The accuracy, sensitivity and the specicity of the study was found to be 92%, 93.2% and 90% respectively. The result of this study is therefore an evidence to use Lyfas as a potential tool in the identication, screening, and surveillance of asymptomatic individuals. The ndings from the study deserves to be extended to a large population conrmatory clinical study to add proof and value to the tool.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,039 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».