Legionella- an underappreciated but important pathogen in HIV
Bibliographic record
Abstract
People living with HIV (PLHIV) have increased susceptibility to respiratory pathogens such as Legionella, however, research on Legionella in community-acquired pneumonia (CAP) in PLHIV remains limited. This study aimed to determine the contribution that Legionella have on lung inflammation, dysfunction, and disease in this population. We hypothesized that Legionella infections occur commonly among patients with HIV+CAP, and that Legionella-infected individuals have more lung inflammation, lung dysfunction, and worse outcomes compared to Legionella-negative individuals. We investigated Legionella in two cohorts in Medellin, Colombia: The Discovery cohort, which comprised HIV+CAP patients, and the Validation cohort, which followed HIV, CAP, and HIV+CAP patients for 1 year. Blood and bronchoalveolar lavage (BAL), and blood, induced sputum, BAL, and spirometry were collected at study admission in the Discovery and Validation cohorts, respectively. Blood, induced sputum, and spirometry were also collected at 1, 6, and 12-month follow-ups. Sample aliquots were shipped to Canada for analyses. Legionella detection was assessed in respiratory samples using real-time PCR, bacterial cultures, and an amoeba model. To determine the effect of Legionella co-infection on clinical outcome, a patient database was consulted, comparing laboratory results and outcomes between Legionella positive and negative individuals. Bead-based technology was used to determine cytokine profiles associated with Legionella co-infection while spirometry results were used to assess how Legionella affects lung function. Data indicate that Legionella are frequently (>25%) found in respiratory samples of HIV+CAP co-infected individuals in Medellin, Colombia, and oftentimes are non-L. pneumophila SG1. Legionella co-infected individuals had higher rates of intensive care unit admissions, acute respiratory failure, and mortality compared to Legionella-negative individuals. At baseline, Legionella-infected individuals also had lower forced vital capacity % predicted, although lung function recovered over time. Additionally, markers of monocyte/macrophage activation and differentiation (Eotaxin, MCP-1 and, IP-10) associated with Legionella infection and with worse patient outcomes. Clinicians should be aware of the possible presence of Legionella in CAP in PLHIV and their potential role in disease severity as a misdiagnosis/lack of appropriate antibiotic coverage have the potential to be fatal. If further investigation supports these findings, this could change the way CAP is managed in this population.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".