Radiologic Predictors of Hyponatremia in Children Hospitalized With Community-Acquired Pneumonia
Bibliographic record
Abstract
BACKGROUND: Hyponatremia (HNa) is the most common electrolyte imbalance seen in clinical practice and a common laboratory finding in children with community-acquired pneumonia (CAP). This study investigated whether there is a link between the radiological pattern seen in patients with CAP and the occurrence of HNa, hypothesizing that children with moderate and severe HNa would have a lobar-segmental pattern on chest radiograph. METHODS: The medical files and chest radiographs of 54 children with moderate to severe HNa (sodium <130 mmol/L) admitted with CAP over a 2-year period at our institution were retrospectively studied. Community-acquired pneumonia was defined as either lobar-segmental or interstitial by a radiologist blinded to laboratory results. RESULTS: Hyponatremia was seen more frequently in children with lobar-segmental pneumonia: 40 (74%) compared with 14 (26%) with interstitial pneumonia (P = 0.004). There was no relationship between the pattern of pneumonia seen on chest radiograph and severity of HNa; however, all 6 cases of severe HNa had lobar-segmental CAP, and all patients with complicated CAP were from the lobar-segmental group. CONCLUSIONS: We found an association between lobar-segmental CAP and moderate or severe HNa. In addition, all cases of severe HNa occurred in patients with lobar-segmental CAP. The presence of a lobar-segmental pattern on chest radiography in CAP suggests the need for assessment of electrolyte status even in patients with adequate respiratory status.
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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 | 0.006 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".