Incidence of, and Risk Factors for, Nosocomial Infections Among Hematopoietic Stem Cell Transplantation Recipients, With Impact on Procedure-Related Mortality
Bibliographic record
Abstract
OBJECTIVES: To determine the incidence of, and risk factors for, nosocomial infections (NIs) occurring among hematopoietic stem cell transplantation (HSCT) recipients during hospitalization and to evaluate the impact of these NIs on patient outcome. DESIGN: A two-year prospective observational study in two HSCT units. PATIENTS: All patients admitted to the HSCT units between February 1997 and March 1999. SETTING: A teaching hospital. METHODS: After admission to the HSCT units, the patients were followed prospectively on a daily basis to collect all pertinent variables for the development of NIs. RESULTS: 49 NIs were identified in 34 of the 143 patients screened. The incidence of NIs and infected patients was 34.2% and 23.7%, respectively. The incidence density of NI was 8.96 per 1,000 patient-days. The most frequent NIs were bloodstream infections ([BSIs], 42.8%) and respiratory tract infections (28.6%). Other sites involved were as follows: eye (8.2%), urinary tract (6.1%), gastrointestinal tract (6.1%), skin (4.1%), ear (2%), and central venous catheter ([CVC], 2%). Because of the predominance and clinical relevance of BSIs, we examined both intrinsic and extrinsic risk factors associated with these infections. Independent risk factors for BSIs were allograft from matched unrelated or partially matched family donor, graft-versus-host disease (GVHD) prophylaxis without methotrexate (MTX), type of CVC, and duration of total parenteral nutrition. Four variables were independently associated with mortality occurring during hospitalization: culture-proven BSIs, advanced disease phase at transplant, type of transplant, and absence of MTX for GVHD prophylaxis. CONCLUSIONS: The study identified several factors associated with increased risk of BSIs among HSCT patients. Because BSIs are life-threatening complications for HSCT recipients, preventive measures aimed at reducing the incidence of these infections among patients given HSCT should be adopted.
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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 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".