Multiplex Polymerase Chain Reaction Panel for Suspected Pertussis
Bibliographic record
Abstract
BACKGROUND: The use of bacterial multiplex polymerase chain reaction (PCR) in children with suspected pertussis sometimes yields unexpected positive results for Mycoplasma pneumoniae. We aimed to evaluate the clinical significance of positive M. pneumoniae results in this population. METHODS: Retrospective cohort of consecutive patients with suspected pertussis tested with a bacterial multiplex PCR (including Bordetella pertussis and M. pneumoniae) between June 2015 and March 2017. Medical records were reviewed to compare demographics, clinical presentations and outcomes of patients positive for M. pneumoniae with those positive for B. pertussis and those with negative results, using multivariable logistic regression. RESULTS: A total of 1244 patients were included as follows: 56 (4.5%) with M. pneumoniae, 116 (9.3%) with B. pertussis and 1029 (82.7%) with negative results. Mean age was respectively 4.8 years, 6.5 years and 2.8 years (P < 0.05). Children with M. pneumoniae were less likely to present with cardinal symptoms of pertussis such as paroxysmal cough [adjusted odds ratio (OR): 0.19, 95% confidence interval (CI): 0.08-0.40) but were more likely to have fever (adjusted OR: 10.53, 95% CI: 3.54-39.49) and other nonspecific respiratory symptoms compared with children with B. pertussis. Children with M. pneumoniae had very similar clinical presentations to those with a negative PCR, but were more likely to have radiologically confirmed pneumonia (adjusted OR: 5.48, 95% CI: 2.96-9.99) and were less likely to be diagnosed with a concomitant viral infection (adjusted OR: 0.32, 95% CI: 0.07-0.99). CONCLUSIONS: In children with suspected pertussis, the detection of M. pneumoniae is clinically relevant. However, the impact of this finding on patients' outcome is still unclear.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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".