Clinical risk factors associated with nosocomial Pseudomonas aeruginosa bacteraemia in patients within a tertiary care healthcare setting – a case control study
Bibliographic record
Abstract
BACKGROUND: P. aeruginosa is a major cause of hospital-acquired infections, particularly in healthcare settings in the UK and Europe. In 2017, the number of patients with P. aeruginosa bacteraemia in a London teaching hospital was increasing and demographic studies had attempted to identify the cause. A case–control study was undertaken with the aim to determine the pre-existing risk factors for developing P. aeruginosa bacteraemia among hospital inpatients, many of whom were immunocompromised. METHODS: Multivariable, matched, case-control analysis using conditional logistic regression was performed to determine the risk factors associated with acquisition of P. aeruginosa bacteraemia at a tertiary care teaching hospital (800 patient beds; 98 beds for haematology patients) in London, UK. The cases were 137 patients with hospital-onset P. aeruginosa detected in blood and two control groups comprising a total of 845 patients (treated between April 2015 – July 2018). The analysis included the following predictor variables: admission method, blood test results, known viral infection, presence of central lines, surgical history, urinary tract infection and P. aeruginosa detected in urine, wound, or respiratory system. SPSS and R were used for the statistical analysis. RESULTS: Of 135 patients with bacteraemia due to Pseudomonas aeruginosa, 23 (17%) died within 30 days compared with 20 (4.1%) of 488 matched patients with no bacteraemia and 24 (6.7%) of 357 patients with other causes of bacteraemia. Analysis showed white cell count ≤ 2 × 109/L was associated with increased risk of pseudomonas bacteraemia (Adj. OR = 3.3 (1.6–6.6 ; p < 0.001) vs. patients with other causes of bacteraemia. Presence of P aeruginosa in urine or respiratory secretions and number of central venous catheters were associated with Adj. OR 19.3 (95% CI: 3.0-122 ; p = 0.02), 23.0 (95% CI: 2.3-226.3 ; p = 0.007 and 2.0 (95% CI: 1.17–3.37 ; p = 0.01) respectively. CONCLUSIONS: This study showed leucopenia, having more than one central-venous catheter, P. aeruginosa urinary and respiratory infection, non-elective admission to hospital, and presence of virus were risk factors for P. aeruginosa bacteraemia. In healthcare settings where P. aeruginosa bacteraemia is prevalent, additional screening for carriage and treatment of bacteriuria with P. aeruginosa should be considered during hospital admission with an aim to prevent bacteraemia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".