Risk of respiratory diseases among hospitalized patients with hidradenitis suppurativa
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is a systemic disorder associated with various metabolic and inflammatory comorbidities. Although HS shares risk factors and pathogenic pathways with various respiratory conditions, few studies have explored the relationship between HS and respiratory disease. METHODS: This is a cross-sectional, case-control, population-based study that examined the United States National Inpatient Sample database from January 1, 2002, to December 31, 2012. HS was identified using ICD-9-CM codes during hospital admissions. Multivariable logistic regression was used to evaluate for adjusted associations between HS and respiratory diagnoses as compared to matched controls. RESULTS: Twenty-three thousand seven hundred and sixty-seven hospital admissions for HS were compared with 95,068 age- and sex-matched controls. HS patients had significantly higher adjusted odds of asthma (OR: 1.233; 95% CI: [1.170-1.299]; P < 0.001), chronic airway obstruction (OR: 1.532; 95% CI: [1.419-1.651]; P < 0.001), sarcoidosis (OR: 1.601; 95% CI: [1.157-2.214]; P < 0.001), and sleep apnea (OR: 1.274; 95% CI: [1.182-1.374]; P < 0.001). CONCLUSION: HS is associated with several common forms of respiratory disease. Knowledge of these associations may allow for better recognition of respiratory disease in HS patients.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".