High Risk AML Outpatient Management: A Retrospective Analysis of Bacteremia Incidence Following Chemotherapy.
Bibliographic record
Abstract
Abstract Treatment of acute myeloid leukemia (AML) involves aggressive remission inducing (IND) chemotherapy, and consolidation (CON) chemotherapy aimed at preventing or delaying relapse. Since September 2001, our institution has implemented a selective discharge protocol, which allows the majority of CON cycles, and some selected IND cycles, to be administered entirely on outpatient (OP), or early discharge (ED: prior to ANC >0.5 x 109/L or before d+15) basis. One of the primary concerns associated with this novel practice is the prompt management of infections in these high-risk neutropenic patients, requiring immediate administration of empirical broad spectrum parenteral antibiotics. Our group previously reported the safety and feasibility of OP management (Savoie Blood 2002, 100:11 p766a). We now present a comparative review of the incidence of septicemia over a 5 year period, encompassing the change in management policy. We investigated the impact of selective discharge on infectious morbidity, and the spectrum of bacterial pathogens and their resistance profile. OP received all standard chemotherapy and supportive care in outpatient settings. Supportive care was modified for OP, adding Ciprofloxacin 500mg po BID as antimicrobial prophylaxis d+1 from the start of chemotherapy. Universal supportive care for all pts consisted of Acyclovir 600mg po qid or Valacyclovir 500mg po od (if HSV IgG positive) and Fluconazole 200–400mg po od or Itraconazole 200mg po bid (if previously aspergillus infection). The prophylaxis was stopped upon ANC recovery. Pts were not routinely treated with G-CSF. Between Feb 1999 and Feb 2004, 328 IND and 295 CON cycles of chemotherapy (total=623) were given to 295 patients. Following guidelines adopted in Sep 1, 2001 the majority of CON cycles [84% (133/159)] were administered to pts in our OP day-care clinic, also a smaller number of CON and some IND cycles were candidates for ED. Analysis of trends indicated a minor decrease in overall bacteremia incidence following the implementation of OP protocol. [21% (65/303) before 1-Sept-01, 19% (61/320) after 1-Sept-01),NS]. However, a significant decrease in bacteremia was observed in the CON cycle subgroup (which included the largest OP population), from 31% (42/136) before, to 19% (29/159) after 1-Sept-01 (p=0.01). In addition, a notable shift in incidence of gram-ve bacteremia occurred in IP (-cipro prophylaxis) compared to OP (+cipro prophylaxis) from 49% to 27% of total bacterial infections. Nevertheless, a larger fraction of gram-ve isolates from OP exhibited resistance to ciprofloxacin. No treatment related deaths occurred as a result of infection in the OP population. This report constitutes the first comparative study of bacteremial complications in high risk neutropenic AML patients treated in OP settings. OP management in conjunction with prophylactic antibiotherapy is safe, and results in a significant decrease in bacteremia. However, the use of gram-ve coverage prophylaxis introduced a shift in pathogenic microorganisms and emergence of resistance. Supported by our findings we propose that selective OP management of AML pts should be encouraged, keeping in mind the change in the spectrum of infections.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".