Ramón C Hermida1, Diana E Ayala2, Artemio Mojón2, José R Fernández2. 1. Bioengineering and Chronobiology Laboratories, E.I. Telecomunicación, University of Vigo, Campus Universitario, Vigo, Pontevedra, 36310, Spain. rhermida@uvigo.es. 2. Bioengineering and Chronobiology Laboratories, E.I. Telecomunicación, University of Vigo, Campus Universitario, Vigo, Pontevedra, 36310, Spain.
Abstract
AIMS/HYPOTHESIS: We investigated the prognostic value of clinic and ambulatory BP (ABP) to predict new-onset diabetes and whether risk reduction is related to the progressive decrease of clinic BP or awake or asleep ABP. METHODS: We prospectively evaluated 2,656 individuals without diabetes, 1,292 men and 1,364 women, 50.6 ± 14.3 years of age, with baseline BP ranging from normotension to hypertension according to ABP criteria. At baseline and annually (more frequently if hypertension treatment was adjusted based on ABP) thereafter, ABP and physical activity (wrist actigraphy) were simultaneously monitored for 48 h to accurately derive the awake and asleep BP means. RESULTS: During a 5.9-year median follow-up, 190 participants developed type 2 diabetes. The asleep systolic ABP mean was the most significant predictor of new-onset diabetes in a Cox proportional-hazard model adjusted for age, waist circumference, glucose, chronic kidney disease (CKD) and hypertension treatment. Daytime clinic BP and awake or 48 h ABP mean had no predictive value when corrected by the asleep ABP mean. Analyses of BP changes during follow-up revealed a 30% reduction in the risk of new-onset diabetes per 1-SD decrease in asleep systolic ABP mean, independent of changes in clinic BP or awake or 48 h ABP means. CONCLUSIONS/ INTERPRETATION: Sleep-time BP is a highly significant independent prognostic marker for new-onset diabetes. Alteration in sleep-time BP regulation seems to precede, rather than follow, the development of new-onset diabetes. Most important, lowering asleep BP, a novel therapeutic target requiring ABP evaluation, could be a significant method for reducing new-onset diabetes risk.
AIMS/HYPOTHESIS: We investigated the prognostic value of clinic and ambulatory BP (ABP) to predict new-onset diabetes and whether risk reduction is related to the progressive decrease of clinic BP or awake or asleep ABP. METHODS: We prospectively evaluated 2,656 individuals without diabetes, 1,292 men and 1,364 women, 50.6 ± 14.3 years of age, with baseline BP ranging from normotension to hypertension according to ABP criteria. At baseline and annually (more frequently if hypertension treatment was adjusted based on ABP) thereafter, ABP and physical activity (wrist actigraphy) were simultaneously monitored for 48 h to accurately derive the awake and asleep BP means. RESULTS: During a 5.9-year median follow-up, 190 participants developed type 2 diabetes. The asleep systolic ABP mean was the most significant predictor of new-onset diabetes in a Cox proportional-hazard model adjusted for age, waist circumference, glucose, chronic kidney disease (CKD) and hypertension treatment. Daytime clinic BP and awake or 48 h ABP mean had no predictive value when corrected by the asleep ABP mean. Analyses of BP changes during follow-up revealed a 30% reduction in the risk of new-onset diabetes per 1-SD decrease in asleep systolic ABP mean, independent of changes in clinic BP or awake or 48 h ABP means. CONCLUSIONS/ INTERPRETATION: Sleep-time BP is a highly significant independent prognostic marker for new-onset diabetes. Alteration in sleep-time BP regulation seems to precede, rather than follow, the development of new-onset diabetes. Most important, lowering asleep BP, a novel therapeutic target requiring ABP evaluation, could be a significant method for reducing new-onset diabetes risk.
Authors: Michael H Smolensky; Ramón C Hermida; Diana E Ayala; Ruana Tiseo; Francesco Portaluppi Journal: Blood Press Monit Date: 2010-08 Impact factor: 1.444
Authors: Ramón C Hermida; Diana E Ayala; José R Fernández; Artemio Mojón; Michael H Smolensky; Fabio Fabbian; Francesco Portaluppi Journal: Chronobiol Int Date: 2012-10-19 Impact factor: 2.877
Authors: David A Calhoun; Daniel Jones; Stephen Textor; David C Goff; Timothy P Murphy; Robert D Toto; Anthony White; William C Cushman; William White; Domenic Sica; Keith Ferdinand; Thomas D Giles; Bonita Falkner; Robert M Carey Journal: Hypertension Date: 2008-04-07 Impact factor: 10.190
Authors: Ramón C Hermida; Diana E Ayala; Michael H Smolensky; José R Fernández; Artemio Mojón; Francesco Portaluppi Journal: Hypertens Res Date: 2015-12-10 Impact factor: 3.872