<i>Mycoplasma Pneumoniae</i> Pneumonia: Walking Pneumonia Can Cripple the Susceptible
Bibliographic record
Abstract
Background: Mycoplasma pneumoniae pneumonia (MPP), or “walking pneumonia ” is an atypical mild disease with varied clinical findings. Specifically, diagnosis is often controversial and understanding of disease presentation is limited. The goal of the study was to evaluate presentation, clinical associations and outcomes of MPP patients admitted to an inner-city hospital. Methods: This was a retrospective analysis of adult patients diagnosed with MPP from January 2010 to January 2017. Primary outcomes were need for intensive care unit (ICU) care, ICU and hospital length of stay (LOS), presence of shock and need for mechanical ventilation (MV). Predictors of mortality were analyzed. Results: Of the 203 patients analyzed, 16 (8%) died. Relative to survivors, non-survivors were older (65 ± 21 versus 53 ± 18, P = 0.009) and less frequently had obstructive airway disease (OAD; P = 0.003). Non-survivors also had significantly higher serum levels of lactic dehydrogenase (LDH), blood urea nitrogen (BUN), creatinine, transaminases and troponins. Finally, non-survivors more commonly exhibited shock, need for MV and bilateral lung infiltrates. There were no group differences in patient comorbidities, symptoms, antibiotic use or LOS. Predictors of mortality included age, OAD, low CD4 + T-cell counts in human immunodeficiency virus-infected patients and elevated serum levels of LDH, creatinine, BUN, leukocytes, transaminases and troponins. Conclusion: Despite the availability of appropriate antibiotics, MPP incurs significant mortality and morbidity. Our study indicated that the recommended treatment includes prompt serological diagnosis, aggressive supportive care and presumptive antibiotics, especially in patients with poor prognosis. J Clin Med Res. 2018;10(12):891-897 doi: https://doi.org/10.14740/jocmr3592w
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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 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".