2266. Persistent Inflammation in HIV Patients With Community-Acquired Pneumonia and Its Correlation With Lung Injury
Bibliographic record
Abstract
HIV patients face higher rates of morbidity compared with the general population, largely due to the earlier development of age related diseases (cardiovascular, kidney, and liver disease). While it is likely that chronic immune activation and inflammation are the main contributors to this process, it’s relation to lung injury in HIV remains unknown. Despite restoration of systemic immune function following Antiretroviral Therapy, the risk for lower respiratory tract infection remain elevated in the HIV population. The objective of the study was to assess the relationship between pulmonary inflammation and lung injury. A prospective cohort study was performed, participants include patients hospitalized in Hospital Universitario San Vicente Fundación and Clínica SOMA, in Colombia. Patients were eligible if they were over the age of 18 and had a documented HIV infection or if they have HIV with newly diagnosed community acquired pneumonia (CAP). The main exclusion criteria were chronic lung disease and immunosuppression that is not due to HIV. Patients belonged to two groups: HIV and HIV + CAP. Plasma, sputum samples and pulmonary function test measurements (PFT) were retrieved within 48 hours of hospital admission and at one month follow-up. The concentrations of 13 biomarkers were measured and correlated with PFT values, followed by a comparison between the two groups. Principle Component Analysis revealed that CCL3, CCL4, BAFF, APRIL, and TIMP-1 accounts for the majority of the variation between the two groups. Furthermore, Kruskal–Wallis testing demonstrates that BAFF and CCL3 are elevated in the HIV + CAP group, compared with the HIV group (P < 0.005). Other markers of bacterial translocation and monocyte activation did not differ between these groups. FVC and FEV1 measurements are lower in the HIV + CAP group compared with the HIV group, while FEV1/FVC remain constant. The results of this study identify a unique constellation of biomarkers in HIV patients with CAP, this constellation of biomarkers consists of pro-inflammatory cytokines and regulators of extracellular matrix remodeling, hinting at the occurrence of an inflammatory and tissue injuring process in the lungs. This is supported by the restrictive ventilation pattern seen in this group of patients. 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 | 0.000 | 0.001 |
| 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) | 0.005 | 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".