1470. Neurocognitively-Acting Potentially Inappropriate Medications, Alcohol, and Community-Acquired Pneumonia Among Patients with and Without HIV
Bibliographic record
Abstract
Alcohol interactions with neurocognitively-acting potentially inappropriate medications (NC-PIMs) may be more common, more harmful, and associated with lower levels of alcohol use among people living with HIV. We conducted a nested case–control study using data from the Veterans Aging Cohort Study (2007–2015). Cases with community-acquired pneumonia (CAP) requiring hospitalization (n = 6,716) were 1:5 matched to controls without CAP (n = 33,253) at the time of event by age, sex, race, HIV status, baseline year, and duration of observation time. Index date was defined as CAP date for cases and match date for controls. Based on pharmacy data in the year prior to index date, NC-PIMs included receipt of at least one prescription of any duration for anticonvulsants, sedatives (including benzodiazepines), prescription opioids, antidepressants, antipsychotics, and muscle relaxants. Among HIV+, NC-PIMs exposure also included ritonavir (RTV), cobicistat (COBI), and efavirenz (EFV). Conditional logistic regression models were used to obtain adjusted odds ratios (OR) and 95% confidence intervals (CI) for NC-PIMs (any and count overall, and by class), alcohol use disorder (AUD) diagnoses in the year prior to index date, and their interaction adjusted for smoking status, VACS Index, steroids, vaccination status (influenza and pneumonia), hepatitis C, previous CAP, and various comorbidities. Among 39,989 patients, 17,161 (43%) were HIV+, 98% were male, and median age was 58 years. An increase in number of classes of NC-PIMs was associated with a 17% increase in the odds of CAP among HIV+ and uninfected, and this effect was augmented by contemporaneous AUD. Among HIV+, all classes of NC-PIMs apart from EFV were positively associated with CAP, most notably antipsychotics (OR 1.66, 95% CI 1.43–1.93). Among uninfected, the highest risk of CAP was associated with antipsychotics (OR 1.81, 95% CI 1.61–2.03) and anticonvulsants (OR 1.64, 95% CI 1.49–1.80). AUD positively interacted with sedatives, opioids, antidepressants, and muscle relaxants in both groups, and with RTV/COBI in HIV+ patients. NC-PIMs, especially with concurrent AUD, are associated with increased CAP risk among those living with and without HIV. All authors: No reported disclosures.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".