Blood-based inflammatory parameters and machine learning models for mortality prediction in critically ill pediatric pneumonia: a retrospective cohort study.

Transl Pediatr · 2026 · PMC12969161 · PMID 41810183

Europe PMC DOI

hedged sentences

0.0400

closest p · 0.8× alpha

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boldest claim

The sentences

marginal significanceP=0.04actually significant

The overall mortality rate was 14.4%, with neutrophil percentage (adjusted HR: 1.017, P=0.01) and lymphocyte percentage (adjusted HR: 0.985, P=0.04) emerging as independent predictors of mortality, while the PNR demonstrated marginal significance (adjusted HR: 0.995, P=0.04).

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did not reach statistical significanceP=0.07so close (0.05 < p ≤ 0.1)

showed a trendno p-value reported

The NLR showed a trend toward increased mortality risk but did not reach statistical significance (adjusted HR: 1.394, 95% CI: 0.978–1.988, P=0.07).

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