Beat to beat viscous damping is modulated by ace inhibitors in human hypertension
Bibliographic record
Abstract
Effects of exercise and/or diet on blood pressure (BP) have been welldocumented; however, their combined effects on overall cardiovascular functioning in those who have preclinical risk factors for cardiovascular diseases are still unclear.The purpose of this study was to evaluate the effect of lifestyle (exercise and diet) modification on measures of left ventricular diastolic filling (LVDF), arterial distensibility (AD), BP (clinic and 24 hour), and exercise capacity (VO 2max ) in individuals with either high-normal BP (HNBP), impaired fasting glucose level (IFG), or impaired glucose tolerance (IGT).These preliminary findings are from a larger randomized trial of Staged Nutrition and Activity Counseling (SNAC) whose plan includes an individually customized Mediterranean diet with physical exercise, vs usual care lifestyle counseling.Twenty seven subjects with either HNBP, IFG, or IGT (11 M and 16 F, 53.6 Ϯ 7.4 yrs) have participated in the preliminary analysis of the study cohort.Before and after 8 weeks of SNAC, measures of LVDF [early filling flow velocity (E), late filling flow velocity (A), E/A ratio, isovolumic relaxation time (IVRT) and deceleration time (DT)], left ventricular mass (LVM), and AD in carotid (CA) and brachial (BA) arteries assessed using VingMed-5 TM cardiac imaging system at rest, and VO 2max by exercise treadmill test were determined.Clinic BP using an automated device (BP-TRU TM ) and 24-h ambulatory BP using a Spacelabs TM ABPM were also recorded.AD in CA improved significantly following SNAC (0.85 Ϯ .28vs 0.99 Ϯ .281/mmHgx10 -1 , pϽ.05).This improvement was accompanied by the reduction of body weight (BW), BMI, and improvement of VO 2max (95.7 Ϯ 18.3 vs 93.9 Ϯ 17.9 kg, 33.7 Ϯ 5.8 vs 33.0 Ϯ 5.6 kg/m 2 , 32.1 Ϯ 9.5 vs 35.3 Ϯ 10.1 ml/min/kg, pϽ.05, respectively).Clinic DBP tended to be lower (83.7 Ϯ 11.1 vs 79.9 Ϯ 9.4 mmHg, pϭ.053).No changes were observed in LVDF indices, LVM, AD in BA, clinic SBP, and 24-h BP indices.These preliminary data suggest that our lifestyle modification significantly improved AD in CA with the reduction of BW and improvement of VO 2max .Further study will determine whether these changes are maintained, and whether changes in BP and LVDF are observed compared to usual care.Supported by CIHR and HSF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".