Duration of prednisone treatment before development of <i>Pneumocystis jirovecii</i> pneumonia in patients with vasculitis: A case series
Bibliographic record
Abstract
BACKGROUND: Optimal timing for Pneumocystis jirovecii pneumonia (PCP) prophylaxis among patients with vasculitis is not clear. We set out to characterize the clinical presentation and duration of prednisone use before the development of PCP among these patients. METHODS: All patients with PCP at The Ottawa Hospital (TOH) between 2006 and 2017 were identified. Using TOH data repositories, the following data were extracted: prednisone dosage, treatment duration, other immunosuppressive medications, PCP prophylaxis, PCP treatment, and death. Data were reported as median and range or as mean and standard deviation. RESULTS: We identified seven patients (5 men, 2 women) with biopsy-proven vasculitis who developed PCP: six with anti-neutrophil cytoplasmic antibody–associated vasculitis and one with giant cell arteritis. None of the patients were on PCP prophylaxis. The most common symptoms on presentation were cough and dyspnea. At diagnosis, the median lymphocyte count was 0.30 × 109/L (range 0.03–2.10), creatinine was 186 µmol/L (range 78–359), and lactate dehydrogenase was 471 U/L (range 301–1032). All patients were on prednisone at time of PCP diagnosis, with six on doses of ≥20 mg/day for at least 12 weeks. All but one patient were on additional immunosuppressants, with cyclophosphamide being the most common agent for five of the seven patients. Four (57%) required intensive care unit admission, and two (29%) died secondary to complications of PCP. CONCLUSIONS: PCP is a severe and often fatal opportunistic infection among immunocompromised patients with vasculitis. Frequent evaluation of the need for prophylaxis is required for patients who remain on high-dose steroids and concomitant immunosuppressants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".