Burden of subclinical heart and lung disease detected on thoracic CT scans of HIV patients on HAART
Bibliographic record
Abstract
Introduction The aim was to determine the prevalence of lung and heart abnormalities on thoracic CT scans in HIV‐infected patients who were treated with antiretroviral therapy (ART). Material and Methods Thoracic CT scans of 903 patients infected with HIV (mean age 48±7 yrs, 29% females) were reviewed by three radiologists by consensus. Patients were phenotyped according to smoking status, pack years and years since cessation for ex‐smokers. Individuals known to have active lung or heart disease at the time of CT scanning were excluded. Multimorbidity lung and heart disease (MLHD) was defined by the presence of >2 lung or heart abnormalities on the CT scan. Results Prevalence of lung abnormalities were: 326 patients (36.1%) with emphysema, 271 (30.0%) with bronchiolitis, 44 (4.9%) with non‐calcified lung nodules, 568 (63%) with significant bronchial wall thickening, 150 (16.7%) with bronchiectasis, 9 (1%) with interstitial lung disease. Overall, 445 patients (49.3%) had >2 lung abnormalities. Imaging findings suggestive of prior myocardial infarction (MI) were found in 1.4% (13 patients); 26.6% (240 patients) had CAC scores of 1 to 100, and 9.8% (89 patients) had CAC>100. 13.6% (123 patients) of the patients had CAC>100 and/or previous MI. MLHD was present in 484 patients (53.6%) and among 78 patients (16%) who never smoked. Table 1 describes CT findings according to pack year and stop smoking groups vs never smokers. MLHD increased proportional to cumulative smoking history (p for trend <0.001) and decreased in proportion to the number of years since smoking cessation (p for trend=0.017). Independent predictors for MLHD were: age (OR=1.07, CI 1.05–1.10), sex (OR=1.59, CI 1.15–2.19), current smoking (OR=1.76, CI 1.08–2.89), and pack‐years history of smoking (OR=1.03, CI 1.02–1.05). In patients who never smoked, nadir CD4<200 was significantly associated with MLHD after adjustment for age and sex (OR=1.98, CI 1.98–3.63). Conclusions MLHD is common in HIV‐infected individuals even in non‐smokers. Reduced CD4 count (hence severity of HIV infection) may be an important risk factor for chronic lung and heart disease. Thoracic CT scans may provide an excellent screening tool to detect MLHD in HIV‐infected patients.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".