Outcomes with severe pulmonary coccidioidomycosis and respiratory failure in the United States
Bibliographic record
Abstract
Background: Coccidioidomycosis is a fungal infection with presentations ranging from asymptomatic illness to severe pneumonia and respiratory failure. The outcomes of patients with severe pulmonary coccidioidomycosis requiring mechanical ventilation (MV) are not well understood. Methods: We performed a retrospective cohort analysis utilizing the Nationwide Inpatient Sample (NIS) from 2006 to 2017. Patients >18 years of age with a diagnosis of pulmonary coccidioidomycosis were included in the cohort. Results: A total of 11,045 patients were hospitalized with a diagnosis of pulmonary coccidioidomycosis during the study period. Of these, 826 (7.5%) patients required MV during their hospitalization with a mortality rate of 33.5% compared to 1.3% ( p < 0.01) for patients not requiring MV. Results of the multivariable logistic regression model show that risk factors for MV included the history of neurological disorders and paralysis (OR 3.38[95% CI 2.70 to 4.20] p < 0.01; OR 3.13[95% CI 1.91 to 5.15] p < 0.01, respectively) and HIV (OR 1.63[95% 1.10 to 2.43] p < 0.01). Risk factors for mortality among patients requiring MV included older age (OR 1.24 per 10-year increase[95% CI 1.08 to 1.42] p < 0.01), coagulopathy (OR 1.61[95% CI 1.09 to 2.38] p = 0.01) and HIV (OR 2.83 [95% CI 1.32 to 6.10] p < 0.01). Conclusions: Approximately 7.5% of patients admitted with coccidioidomycosis in the United States require MV, and MV is associated with high mortality (33.5%).
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".