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Updated: Aug 27, 2025

Experimental Model to Evaluate Resolution of Pneumonia
Published on: February 17, 2023
NLR, MLR, PLR and RDW to predict outcome and differentiate between viral and bacterial pneumonia in the intensive
Wincy Wing-Sze Ng1, Sin-Man Lam2, Wing-Wa Yan2
1Department of Intensive Care, Pamela Youde Nethersole Eastern Hospital, 3 Lok Man Road, Chai Wan, Hong Kong SAR, China. nws898@ha.org.hk.
Abstract:
The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and red cell distribution width (RDW) are emerging biomarkers to predict outcomes in general ward patients. However, their role in the prognostication of critically ill patients with pneumonia is unclear. A total of 216 adult patients were enrolled over 2 years. They were classified into viral and bacterial pneumonia groups, as represented by influenza A virus and Streptococcus pneumoniae, respectively. Demographics, outcomes, and laboratory parameters were analysed. The prognostic power of blood parameters was determined by the respective area under the receiver operating characteristic curve (AUROC). Performance was compared using the APACHE IV score. Discriminant ability in differentiating viral and bacterial aetiologies was examined. Viral and bacterial pneumonia were identified in 111 and 105 patients, respectively. In predicting hospital mortality, the APACHE IV score was the best prognostic score compared with all blood parameters studied (AUC 0.769, 95% CI 0.705-0.833). In classification tree analysis, the most significant predictor of hospital mortality was the APACHE IV score (adjusted P = 0.000, χ2 = 35.591). Mechanical ventilation was associated with higher hospital mortality in patients with low APACHE IV scores ≤ 70 (adjusted P = 0.014, χ2 = 5.999). In patients with high APACHE IV scores > 90, age > 78 (adjusted P = 0.007, χ2 = 11.221) and thrombocytopaenia (platelet count ≤ 128, adjusted P = 0.004, χ2 = 12.316) were predictive of higher hospital mortality. The APACHE IV score is superior to all blood parameters studied in predicting hospital mortality. The single inflammatory marker with comparable prognostic performance to the APACHE IV score is platelet count at 48 h. However, there is no ideal biomarker for differentiating between viral and bacterial pneumonia.
Insights
The APACHE IV score is superior to blood biomarkers like NLR, MLR, PLR, and RDW in predicting hospital mortality for pneumonia patients. However, no single biomarker effectively differentiates viral from bacterial pneumonia.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Biomarkers
Background:
- Emerging biomarkers like NLR, MLR, PLR, and RDW show promise in predicting general patient outcomes.
- Their prognostic value in critically ill pneumonia patients remains unclear.
Purpose of the Study:
- To evaluate the prognostic performance of NLR, MLR, PLR, and RDW in critically ill pneumonia patients.
- To compare these biomarkers against the APACHE IV score for predicting hospital mortality.
- To assess their ability to differentiate between viral and bacterial pneumonia etiologies.
Main Methods:
- A cohort of 216 adult pneumonia patients (viral and bacterial) was analyzed.
- Prognostic power was determined using receiver operating characteristic (AUROC) curves.
- Performance was compared with the APACHE IV score and classification tree analysis.
Main Results:
- The APACHE IV score demonstrated superior performance in predicting hospital mortality (AUC 0.769) compared to all blood parameters.
- Platelet count at 48 hours showed comparable prognostic performance to the APACHE IV score.
- No biomarker could reliably differentiate between viral and bacterial pneumonia.
Conclusions:
- The APACHE IV score is the most effective predictor of hospital mortality in critically ill pneumonia patients.
- Platelet count is a potential inflammatory marker with prognostic value.
- Further research is needed for biomarkers that can distinguish between viral and bacterial pneumonia.
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