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"In-House" Data on the Outside-A Mobile Health Approach.
Huang, Qinlei; Crumley, Tami; Walters, Christina; Cluckers, Liesbeth; Heirman, Ingeborg; Railkar, Radha; Bhatia, Gaurav; Cantor, Matthew; Benko, Christopher; Izmailova, Elena S; Rottey, Sylvie; Stoch, S Aubrey.
Affiliation
  • Huang Q; Merck & Co., Inc, Kenilworth, New Jersey, USA.
  • Crumley T; Merck & Co., Inc, Kenilworth, New Jersey, USA.
  • Walters C; Merck & Co., Inc, Kenilworth, New Jersey, USA.
  • Cluckers L; Merck & Co., Inc, Kenilworth, New Jersey, USA.
  • Heirman I; Merck & Co., Inc, Kenilworth, New Jersey, USA.
  • Railkar R; Merck & Co., Inc, Kenilworth, New Jersey, USA.
  • Bhatia G; Koneksa Health, New York, New York, USA.
  • Cantor M; Koneksa Health, New York, New York, USA.
  • Benko C; Koneksa Health, New York, New York, USA.
  • Izmailova ES; Koneksa Health, New York, New York, USA.
  • Rottey S; Drug Research Unit Ghent, Ghent, Belgium.
  • Stoch SA; Merck & Co., Inc, Kenilworth, New Jersey, USA.
Clin Pharmacol Ther ; 107(4): 948-956, 2020 04.
Article de En | MEDLINE | ID: mdl-31955410
ABSTRACT
Mobile health (mHealth) technologies have the potential to capture dense patient data on the background of real-life behavior. Merck & Co., Inc. (Kenilworth, NJ), in collaboration with Koneksa Health, conducted a phase I clinical trial to validate cardiovascular mHealth technologies for concordance with traditional approaches and to establish sensitivity to detect effects of pharmacological intervention. This two-part study enrolled 18 healthy male subjects. Part I, a 5-day study, compared mHealth measures of heart rate (HR) and blood pressure (BP) to those from traditional methods. Hypotheses of similarity, in the clinic and at home, were tested individually for HR, systolic BP, and diastolic BP, at a 2-sided 0.05 alpha level, with a prespecified criterion for similarity being the percentage differences between the 2 measurements within 15%. Part II, a 7-day, 3-period randomized balanced crossover study, evaluated the mHealth technology's ability to detect effects of bisoprolol and salbutamol. Hypotheses that the changes from baseline in HR were greater in the bisoprolol (reduction in HR) and salbutamol (increase in HR) groups compared with no treatment were tested, at a 1-sided 0.05 alpha level. Linear mixed-effects models, Pearson's correlation coefficients, summary statistics, and exploratory plots were applied to analyze the data. The mHealth measures of HR and BP were demonstrated to be similar to those from traditional methods, and sensitive to changes in cardiovascular parameters induced by bisoprolol and salbutamol.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Pression sanguine / Télémédecine / Bisoprolol / Salbutamol / Analyse de données / Rythme cardiaque Type d'étude: Clinical_trials / Prognostic_studies Limites: Adolescent / Adult / Aged / Humans / Male / Middle aged Langue: En Journal: Clin Pharmacol Ther Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Pression sanguine / Télémédecine / Bisoprolol / Salbutamol / Analyse de données / Rythme cardiaque Type d'étude: Clinical_trials / Prognostic_studies Limites: Adolescent / Adult / Aged / Humans / Male / Middle aged Langue: En Journal: Clin Pharmacol Ther Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique