Major advances in managing community-acquired pneumonia

The prognostic and risk-stratified value of neutrophil–lymphocyte count ratio in Chinese patients with community-acquired pneumonia

Community-acquired pneumonia is a common disease associated with high mortality. This retrospective study examined whether the neutrophil–lymphocyte count ratio (NLR), already widely used as an index of inflammation, can be used to predict in-hospital mortality of adults with community-acquired pneumonia. Clinical characteristics, CURB-65 and pneumonia severity index score of pneumonia severity, NLR, serum levels of C-reactive protein and procalcitonin, and in-hospital mortality were analyzed for 318 consecutive adults with community-acquired pneumonia admitted to West China Hospital between July 2012 and December 2013. The ability of NLR and other parameters to predict in-hospital mortality was assessed using receiver operating characteristic (ROC) curves. Results showed that NLR increased with increasing CURB-65 ( P < 0.05) and pneumonia severity index ( P < 0.05), and NLR correlated positively with serum levels of C-reactive protein (r = 0.239, P < 0.05) and procalcitonin (r = 0.211, P < 0.05). The median value of NLR was significantly higher among patients who died in hospital (11.96) than among those who were alive at the end of hospitalization (4.19, P < 0.05). Based on a cut-off NLR of 7.12, this index predicted in-hospital mortality with a sensitivity of 82.61% and specificity of 72.20% (area under ROC curve, 0.799). Predictive power was greater for the combination of NLR and serum levels of C-reactive protein and procalcitonin. These results suggest that NLR may be useful for predicting prognosis in Chinese adults with community-acquired pneumonia, and it may work better in combination with traditional markers.

Metabolomics and Its Application to Acute Lung Diseases

Metabolomics is a rapidly expanding field of systems biology that is gaining significant attention in many areas of biomedical research. Also known as metabonomics, it comprises the analysis of all small molecules or metabolites that are present within an organism or a specific compartment of the body. Metabolite detection and quantification provide a valuable addition to genomics and proteomics and give unique insights into metabolic changes that occur in tangent to alterations in gene and protein activity that are associated with disease. As a novel approach to understanding disease, metabolomics provides a "snapshot" in time of all metabolites present in a biological sample such as whole blood, plasma, serum, urine, and many other specimens that may be obtained from either patients or experimental models. In this article, we review the burgeoning field of metabolomics in its application to acute lung diseases, specifically pneumonia and acute respiratory disease syndrome (ARDS). We also discuss the potential applications of metabolomics for monitoring exposure to aerosolized environmental toxins. Recent reports have suggested that metabolomics analysis using nuclear magnetic resonance (NMR) and mass spectrometry (MS) approaches may provide clinicians with the opportunity to identify new biomarkers that may predict progression to more severe disease, such as sepsis, which kills many patients each year. In addition, metabolomics may provide more detailed phenotyping of patient heterogeneity, which is needed to achieve the goal of precision medicine. However, although several experimental and clinical metabolomics studies have been conducted assessing the application of the science to acute lung diseases, only incremental progress has been made. Specifically, little is known about the metabolic phenotypes of these illnesses. These data are needed to substantiate metabolomics biomarker credentials so that clinicians can employ them for clinical decision-making and investigators can use them to design clinical trials.