Association of nocturnal hypoxemia and white blood cell count in a multicenter cohort
Bibliographic record
Abstract
Abstract Study Objectives There is a higher risk of cardiovascular disease (CVD) in patients with obstructive sleep apnea (OSA) and innate immunity is a potential pathophysiologic pathway. The objective of this study was to determine whether nocturnal hypoxemia is associated with circulating markers of innate immunity in OSA. Methods This was a cross-sectional study of an observational cohort from the multicentre, clinic-based, Canadian Sleep and Circadian Network. Oxygen desaturation index 4% (ODI4%) was used to diagnose and determine the severity of OSA. The percentage of time spent below SpO2 <90% (T90) and minimum SpO2 we considered as other measures of nocturnal hypoxemia. Multiple linear regressions were used to assess associations between total white blood cell (WBC) and subsets and ODI and hypoxemia indices. Results A total of 1296 patients were included in the analysis. There was a positive association between ODI4% and lymphocyte count, adjusting for confounders. For every 1-SD increase in ODI4%, lymphocyte counts increased by 0.08 × 109 L (95% CI 0.01 to 0.15) SD. Patients with severe OSA (ODI4% ≥ 30 events/hour) had significantly higher total WBC and lymphocyte count than non-OSA cohort, in the adjusted model, p-value <.02, for both. There was a positive association between T90 and total WBC, neutrophil, lymphocyte, and monocyte count, adjusting for confounders. Minimum SpO2 was independently associated with total WBC, neutrophil, and monocyte counts. Conclusions In this pan-Canadian clinic-based cohort of individuals with suspected OSA, nocturnal hypoxemia indices were associated with an increase in total WBC and subset counts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".