Sleep Apnea Syndrome: A Possible Contributing Factor to Resistant Hypertension
Bibliographic record
Abstract
STUDY OBJECTIVES: There is evidence supporting an association between sleep apnea and hypertension. However, it is not clear if sleep apnea interteres with the pharmacotherapy of hypertension. To investigate this question, we studied the relationship between the effectiveness of anti-hypertensive treatment in reducing blood pressure, and severity of sleep apnea in a large group of apneic patients referred to a sleep disorders centre at St. Michael's Hospital at the University of Toronto. DESIGN: N/A. SETTING: N/A. PARTICIPANTS: 1,485 adult patients with sleep apnea, as defined by the apnea/hypopnea index (AHI) >10 events/hr, were analyzed. There were 393 who reported using anti-hypertensive medications on a regular basis for more than 6 months. One hundred and eighty-three patients were treated "effectively" (i.e. blood pressure lower than 140/90 mm Hg in the morning and in the evening). Seventy-four patients were treated "ineffectively," defined as blood pressure >140/90 mm Hg in the morning or in the evening. Both groups were compared with respect to clinical and demographic data using analysis of covariance with gender, age, body mass index (BMI), and neck circumference (NC) as covariates. INTERVENTIONS: N/A. MEASUREMENTS AND RESULTS: Ineffectively and effectively treated patients were similar in age (57 +/- 9) vs. 57 +/- 10 years, respectively), and had similar body mass index (33.8 +/- 7.4 vs. 33.4 +/- 7.3 kg/m2, respectively). However, ineffectively treated patients had significantly higher apnea/hypopnea index (44 +/- 29 vs. 33 +/- 25 events/hr, p<.0005), despite having similar nocturnal oxygenation (percent of total sleep time spent with oxygen desaturation lower than 90% was 36 +/- 34 vs. 29 +/- 30% in the ineffective and effective groups, respectively). The difference in AHI persisted even after adjusting for age, gender, and body mass index. CONCLUSIONS: Our results demonstrate that hypertensive patients with sleep apnea whose blood pressure responds beneficially to treatment have less severe sleep apnea than those patients whose blood pressure remains elevated despite anti-hypertensive therapy. Since neither obesity nor nocturnal hypoxemia appear to be important determinants of ineffective treatment, we suggest that resistant hypertension may be caused by frequent intermittent sympathetic stimulation.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".