Incidence, Risk Factors and Outcome of Late Onset Noninfectious Pulmonary Complications after Allogeneic Hematopoietic Stem Cell Transplantation: A Prospective Cohort Study
Bibliographic record
Abstract
Abstract Introduction: Late onset noninfectious pulmonary complications (LONIPCs) occurring beyond the third month following allogeneic hematopoietic stem cell transplantation (HSCT) are various and are associated with a poor outcome. Bronchiolitis obliterans (BO) is the most frequent LONIPC. Available epidemiological data are conflicting and exclusively come from retrospective studies. Methods: We conducted a prospective observational cohort study where all consecutive patients who were scheduled to receive an allogeneic HSCT between January, 31, 2006 and December, 31, 2008 at the university-teaching Saint Louis Hospital (Paris, France) were prospectively screened for inclusion in the study. Those allogeneic HSCT recipients surviving at day 100 were included in the cohort. They were followed-up for at least three years after HSCT. Clinical outcomes were the 3-year incidence and mortality of LONIPC, and the identification of early risk factors for LONIPC and specifically BO. This study is registered with ClinicalTrials.gov, number NCT 01219972. Results: 198 patients were included after a median of 101 [IQR: 99-106] days following HSCT, from a total of 243 screened patients. The actual median follow up of the 198 included patients was 72.3 months [IQR: 15.2-88.5]. 68 patients died within the first 36 months resulting in a 3-year overall survival after inclusion of 65.4% (95%CI: 59.1-72.4%). Fifty five episodes of LONIPC were diagnosed in 43 patients. These 55 LONIPC were diagnosed as BO (n=22), interstitial lung disease (n=12), and others. Ten patients had more than one LONIPC during the follow-up. At 36 months after inclusion, the estimated cumulative incidence of LONIPC was 19.8% (95%CI: 14.2-25.3%). The 36 months cumulative incidence of BOS was 10.7%, (95%CI: 6.3-15.1%). 18 patients with a LONIPC died during the follow up with an estimated median survival of 78.5 months (95%CI: 20.0-not reached) after the diagnosis of LONIPC. The occurrence of LONIPC was associated with an increased hazard of death (HR=2.18, 95%CI= 1.14; 4.15; p= 0.0181). Based on a multivariable Cox model, a chest irradiation prior to HSCT, a history of pneumonia within the 100 days post HSCT and a low FEF 25-75 at day 100 were associated with the development of LONIPC. The use of PBSC was predictive for BOS based on a multivariable Cox model both after multiple imputation and on the complete cases whereas both a history of post transplantation pneumonia and bronchial abnormalities on CT scan at day 100 were also identified as predictive factors after multiple imputation and a 10% FEV1 decline from baseline to day 100 was a predictive factor for BOS on the complete cases. Conclusion: our data give clues to identify high-risk patients for developing LONIPC/BO. These patients should be targeted for close monitoring, and so offer earlier treatment of LONIPC or prophylactic treatment to improve the outcome. Funding: The study was supported by an institutional grant from the French Ministry of Health (CRC 04118). Disclosures Peffault De La Tour: PFIZER: Consultancy, Honoraria, Research Funding; ALEXION: Consultancy, Honoraria, Research Funding; NOVARTIS: Consultancy, Honoraria, Research Funding.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".