Risk factors for carbapenem-resistant Klebsiella pneumoniae infection in a palliative care centre
Bibliographic record
Abstract
Introduction: Klebsiella pneumoniae (KP) is a gram-negative bacterium in the Enterobacteriaceae family.It is common among patients receiving palliative care.This study aimed to examine the risk factors for carbapenem-resistant KP (CRKP) infection in our palliative care unit. Material and methods:This retrospective observational study was conducted in patients found to have KP infection in the palliative care centre of our hospital.Culture results were identified through the microbiological laboratory database.The patients' demographic and clinical characteristics were obtained from hospital electronic records.The Charlson Comorbidity Index (CCI) was calculated retrospectively for each patient.Results: The median age of the 88 patients included in the study was 73 years, and 54 (61.4%) were male.The isolated pathogen was CRKP in 55 patients (62.5%).The presence of central venous catheter, tracheostomy, urinary catheter, and intensive care follow-up before admission to the palliative care unit were significantly more common in patients with CRKP-positive cultures.The presence of significant risk factors for carbapenem resistance and univariate logistic regression were used to create a logistic regression model.The results indicated that parenteral nutrition and CCI were independent risk factors that increased the risk of CRKP infection by 3.704 and 1.447 times, respectively. Conclusions:The prevalence of CRKP is higher in patients receiving parenteral nutritional support.This demonstrates the importance of early transition to enteral nutrition if there is no contraindication.High CCI is a significant risk factor for the development of CRKP infection.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.007 | 0.001 |
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".