Prediction of Masked Uncontrolled Hypertension Detected by Ambulatory Blood Pressure Monitoring
Francesca Coccina,
Paola Borrelli,
Anna M. Pierdomenico,
Jacopo Pizzicannella,
Maria T. Guagnano,
Chiara Cuccurullo,
Marta Di Nicola,
Giulia Renda,
Oriana Trubiani,
Francesco Cipollone,
Sante D. Pierdomenico
Affiliations
Francesca Coccina
Department of Innovative Technologies in Medicine & Dentistry, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Paola Borrelli
Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Anna M. Pierdomenico
Department of Medicine and Aging Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Jacopo Pizzicannella
Department of Innovative Technologies in Medicine & Dentistry, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Maria T. Guagnano
Department of Medicine and Aging Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Chiara Cuccurullo
Department of Medicine and Aging Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Marta Di Nicola
Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Giulia Renda
Department of Neurosciences, Imaging and Clinical Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Oriana Trubiani
Department of Innovative Technologies in Medicine & Dentistry, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Francesco Cipollone
Department of Medicine and Aging Sciences, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
Sante D. Pierdomenico
Department of Innovative Technologies in Medicine & Dentistry, University “Gabriele d’Annunzio”, Chieti-Pescara, 66100 Chieti, Italy
The aim of this study was to provide prediction models for masked uncontrolled hypertension (MUCH) detected by ambulatory blood pressure (BP) monitoring in an Italian population. We studied 738 treated hypertensive patients with normal clinic BPs classified as having controlled hypertension (CH) or MUCH if their daytime BP was p p < 0.0001) for MUCH defined by daytime and 24 h BP, respectively. Internal validation suggested a good predictive performance of the models. Males, those with a smoking habit, LVH, and high-normal clinic BP are indicators of MUCH and models including these factors provide good diagnostic accuracy in identifying this ambulatory BP phenotype.