Effects of Obstructive Sleep Apnea Hypopnea Syndrome on Blood Pressure and C-Reactive Protein in Male Hypertension Patients
Bibliographic record
Abstract
BACKGROUND: The influences of obstructive sleep apnea hypopnea syndrome (OSAHS) on blood pressure and C-reactive protein (CRP) were observed, and the underlying mechanism was investigated. METHODS: Respiratory sleep monitoring was performed on 188 male patients who were newly diagnosed with hypertension. Based on the apnea hypopnea index (AHI) results, patients were divided into a normal control group (AHI ≤ 5, n = 35), a mild OSAHS group (5 < AHI ≤ 15, n = 28), a moderate OSAHS group (15 < AHI ≤ 30, n = 57), and a severe OSAHS group (AHI > 30, n = 68). Ambulatory blood pressure monitoring was conducted on patients in each group, and blood samples were collected to detect indicators, including fasting blood glucose (FBG), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and high-sensitivity CRP (hs-CRP). RESULTS: TG and hs-CRP in patients in the moderate and severe OSAHS groups were higher than those in the normal control group (P < 0.01, P < 0.05). Additionally, their mean nocturnal systolic blood pressure (nSBP) and nocturnal diastolic blood pressure (nDBP) were higher than those in the normal control group (P < 0.01, P < 0.05). However, the percentage of blood pressure reduction at night was significantly lower than that in the normal control group (P < 0.01). AHI and hs-CRP positively correlated with nSBP (adjusted R(2) = 0.46) and nDBP (adjusted R(2) = 0.38) and negatively correlated with the nocturnal blood pressure reduction percentage (adjusted R(2) = 0.48). CONCLUSION: Moderate and severe OSAHS induced increases in nocturnal blood pressure and CRP content in the body, resulting in further damage to the circadian rhythms of blood pressure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".