Masked nocturnal hypertension as a result of high prevalence of non-dippers among apparently well-controlled hypertensive patients with type 2 diabetes mellitus: data from a prospective study
Bibliographic record
Abstract
BACKGROUND: Ambulatory blood pressure monitoring (ABPM) in patients with diabetes mellitus (DM) and hypertension (HTN) show the dipping patterns, identify masked uncontrolled hypertension (MUCH), and demonstrate the effectiveness of the blood pressure (BP) treatment. MUCH is associated with a two-fold higher risk of adverse events. Prevalence in patients with DM is between 13.3 and 66.4%. Our study aims to investigate the prevalence of MUCH and the BP patterns in a population of apparently well-controlled hypertensive patients with type 2 DM (T2DM). A second aspect was the assessment of the effectiveness of antihypertensive treatment. METHODS: One hundred and sixty-three consecutively treated hypertensive patients with T2DM and an office BP between 130-139 and 80-89 mmHg performed a 24 h ABPM. The circadian BP variation, the presence of MUCH, and the correlations with the treatment were assessed. RESULTS: There were 75 dippers (46.02%), 77 non-dippers (47.23%), 4 reverse dippers (2.45%), and 7 extreme dippers (4.30%). Eighty-one patients (77 non-dippers + 4 reverse dippers; 49.7%) had isolated nocturnal MUCH according to the mean night ABPM criteria. Dippers and extreme dippers (75 dippers + 7 extreme dippers; 51.3%) did not have any MUCH criteria. The patients took, on an average, 3 antihypertensive drugs with no difference between those with controlled HTN and the isolated nocturnal MUCH group. Significant factors associated with isolated nocturnal MUCH and a non-dipping BP pattern included age > 65 years (OR = 1.9), DM duration > 10 years (OR = 1.4), HTN duration > 6.5 years (OR = 1.2), obesity (OR = 1.6), and cardiovascular comorbidities (OR = 1.4). CONCLUSIONS: The current study shows that half of the treated hypertensive patients with T2DM and office clinical normotension are non-dippers or reverse dippers. They experience isolated nocturnal MUCH due to their elevated nocturnal BP values, which comply with the actual definition of masked nocturnal hypertension. Bedtime chronotherapy in those patients could be linked to better effectiveness of antihypertensive treatment during the night with the important goal of reducing cardiovascular and cerebrovascular adverse events. ABPM should be performed in hypertensive patients with DM for better risk stratification and more effective control of HTN.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".