Abstract
Background Early pathogen identification in pulmonary infection is crucial to guide antibacterial therapy and decrease length of hospital stay. We hypothesise that compared to conventional diagnostic methods, a multiplex bacterial polymerase chain reaction assay has a higher diagnostic yield in bronchoalveolar lavage (BAL) fluid and improved clinical outcomes in patients with suspicion of pulmonary infection. Methods A prospective, monocentric, quasi-experimental, observational study was carried out. Unselected patients with suspected pulmonary infection who underwent bronchoscopy with BAL were included in the study over a period of 1 year. In addition to conventional diagnostic methods, a multiplex PCR bacterial assay was performed in BAL on a 2 week on: 1 week off pre-determined schedule. No therapeutic recommendations were provided to the treating physician. Results 605 cases were included, 54% of whom were immunosuppressed. Conventional diagnostic methods detected 56% of the bacteria evidenced by PCR. PCR failed to detect bacteria in 4% of the cases with a positive conventional diagnostic result. After bronchoscopy, 42% of the patients received antibacterial therapy for pulmonary infection for a median of 12 antibiotic days. There was no statistically significant difference in length of hospital stay (median 8 versus 8; p=0.839), antibiotic exposure (median 11 versus 14; p=0.362) or number of antibiotics prescribed (median 2 versus 2; p=0.595) between the two groups. Conclusions A multiplex bacterial PCR detected more bacteria in BAL fluid than conventional diagnostic methods. However, without a specific antibiotic stewardship approach and a clear understanding of the clinical implications of a positive or negative PCR result, the PCR results did not influence clinical outcomes.
| Original language | English |
|---|---|
| Article number | 00595-2021 |
| Journal | ERJ Open Research |
| Volume | 8 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2022 |
| Externally published | Yes |
Field of Science*
- 3.2 Clinical medicine
Publication Type*
- 1.1. Scientific article indexed in Web of Science and/or Scopus database
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