Mortality Prediction in Pulmonary <i>Mycobacterium Kansasii</i> Infection and Human Immunodeficiency Virus
Bibliographic record
Abstract
In the setting of human immunodeficiency virus (HIV) infection, the clinical implications of American Thoracic Society (ATS) diagnostic criteria and the significance of a single positive respiratory culture for Mycobacterium kansasii are unknown. We retrospectively studied HIV-infected patients with pulmonary M. kansasii isolated between 1989 and 2002 at one institution. Of 127 patients, 33% fulfilled ATS disease criteria. Twenty-nine percent received at least three active drugs for at least 3 months, and 53% died. In survival analysis, a lower CD4 count (hazard ratio [HR], 1.6; 95% confidence interval [CI], 1.1-2.3) and positive smear microscopy (HR, 2.8; 95% CI, 1.3-6.1) were associated with mortality, whereas antiretroviral therapy (HR, 0.3; 95% CI, 0.1-0.8) and M. kansasii treatment (HR, 0.4; 95% CI, 0.2-0.9) were associated with survival. ATS criteria did not predict mortality (HR, 0.9; 95% CI, 0.4-1.9). Fifteen patients (12%) apparently had indolent infection, not requiring immediate therapy. They had fewer positive cultures and lower rates of positive smear microscopy and ATS-defined disease. In HIV-infected patients with pulmonary M. kansasii infection, predictors of survival include higher CD4 counts, antiretroviral therapy, negative smear microscopy, and adequate treatment for M. kansasii infection, but not ATS diagnostic criteria. Withholding treatment in HIV-infected patients with respiratory M. kansasii isolates should only be considered with negative smear microscopy, few positive cultures, and mild immunosuppression.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".