Neutrophil-to-lymphocyte ratio as a prognostic marker in acute respiratory distress syndrome patients: a retrospective study

CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients

Rationale: Some patients with coronavirus disease 2019 (COVID-19) rapidly develop respiratory failure or even die, underscoring the need for early identification of patients at elevated risk of severe illness. This study aims to quantify pneumonia lesions by computed tomography (CT) in the early days to predict progression to severe illness in a cohort of COVID-19 patients. Methods: This retrospective cohort study included confirmed COVID-19 patients. Three quantitative CT features of pneumonia lesions were automatically calculated using artificial intelligence algorithms, representing the percentages of ground-glass opacity volume (PGV), semi-consolidation volume (PSV), and consolidation volume (PCV) in both lungs. CT features, acute physiology and chronic health evaluation II (APACHE-II) score, neutrophil-to-lymphocyte ratio (NLR), and d-dimer, on day 0 (hospital admission) and day 4, were collected to predict the occurrence of severe illness within a 28-day follow-up using both logistic regression and Cox proportional hazard models. Results: We included 134 patients, of whom 19 (14.2%) developed any severe illness. CT features on day 0 and day 4, as well as their changes from day 0 to day 4, showed predictive capability. Changes in CT features from day 0 to day 4 performed the best in the prediction (area under the receiver operating characteristic curve = 0.93, 95% confidence interval [CI] 0.87~0.99; C-index=0.88, 95% CI 0.81~0.95). The hazard ratios of PGV and PCV were 1.39 (95% CI 1.05~1.84, P=0.023) and 1.67 (95% CI 1.17~2.38, P=0.005), respectively. CT features, adjusted for age and gender, on day 4 and in terms of changes from day 0 to day 4 outperformed APACHE-II, NLR, and d-dimer. Conclusions: CT quantification of pneumonia lesions can early and non-invasively predict the progression to severe illness, providing a promising prognostic indicator for clinical management of COVID-19.

Red cell distribution width/albumin ratio is associated with 60-day mortality in patients with acute respiratory distress syndrome

Background: Red cell distribution width (RDW) and albumin concentration are associated with clinical outcomes in patients with acute respiratory distress syndrome, but the clinical usefulness of RDW/albumin ratio has not been elucidated. The aim of this study was to evaluate the association between RDW/albumin ratio and 60-day mortality in patients with acute respiratory distress syndrome.Materials and methods: A retrospective review of 228 patients in a medical intensive care unit were performed between January 2014 and April 2018. RDW and albumin were measured at the initiation of invasive mechanical ventilation. The ratio was calculated by dividing the RDW value by the albumin value (%/g/dl).Results: Median patient age was 72 years and 71.1% were males. The severity of illness and organ dysfunction score was significantly higher in non-survivors than in survivors (p < .001), as were the rates of septic shock and acute kidney injury. The median RDW/Albumin ratio was higher in non-survivors than in survivors (5.9 vs. 4.7%/g/dl, p < .001). RDW/albumin ratio was significantly associated with 60-day mortality (hazard ratio 1.134, 95% confidence interval 1.044-1.231, p = .003). The area under the receiver operating characteristic curves for RDW/albumin ratio was higher than that for RDW alone (0.681 vs. 0.576, p = .002).Conclusion: RDW/albumin ratio was associated with 60-day mortality in patients with acute respiratory distress syndrome.

Prognostic value of neutrophil-to-lymphocyte ratio in sepsis: A meta-analysis

BACKGROUND

Neutrophil-to-lymphocyte ratio (NLR) has been used to predict the prognosis of patients with sepsis with inconsistent results. This meta-analysis aimed to clarify the prognostic value of NLR in patients with sepsis.

METHODS

A comprehensive literature search for relevant studies, published prior to March 2019, was conducted using PubMed, Web of Science, and the China National Knowledge. Infrastructure database. Standard mean differences (SMDs) with 95% confidence intervals (CI) were used to evaluate the NLR of patients with sepsis retrospectively. Hazard ratios (HRs) with 95% CIs were used to evaluate the prognostic value of NLR in patients with sepsis.

RESULTS

Patients from 14 studies (n = 11,564) were selected for evaluation. Nine studies (1371 patients) analyzed the NLR in these patients. The pooled results showed significantly higher NLR in non-survivors than in survivors (random-effects model: SMD = 1.18, 95% CI; 0.42-1.94). Nine studies (10,685 patients) evaluated the prognostic value of NLR for sepsis; the pooled results showed that higher NLR was associated with poor prognosis in patients with sepsis (fixed-effects model: HR = 1.75, 95% CI; 1.56-1.97). Subgroup analysis revealed that study design, cut-off NLR, or primary outcome did not affect the prognostic value of NLR in patients with sepsis.

CONCLUSION

This meta-analysis indicates that NLR may be a helpful prognostic biomarker of patients with sepsis and that higher NLR values may indicate unfavorable prognoses in these patients.

Neutrophil-lymphocyte ratio as an early new marker in AIV-H7N9-infected patients: a retrospective study

Background: Avian AIV-H7N9 influenza progresses rapidly and has a high fatality rate. However, it lacks an early effective biomarker to predict disease severity and fatal outcomes successfully. Our study aimed to explore whether the neutrophil-to-lymphocyte ratio (NLR) taken within 24 h after admission can predict disease severity and fatality in AIV-H7N9-infected patients.

Methods: We retrospectively studied 237 AIV-H7N9-infected patients from multiple centers from 2013 to 2015. We used univariate analysis and multivariate analysis to compare clinical variables between the survival and fatal groups to evaluate the prognostic value.

Results: The NLR taken within 24 h after admission in the fatal group was significantly higher than that in the survival group (P<0.01). Our study found that NLR was independently associated with fatality. The area under the curve (AUC) of the NLR was 0.70, and moreover, when the NLR =19.94, the specificity was 100%, and the sensitivity was 28.4%. The fatality in the NLR ≥19.94 group was significantly increased relative to the patients with an NLR <19.94 (P<0.05).

Conclusion: The NLR is potentially a predictive prognostic biomarker in patients infected with the AIV-H7N9 influenza virus.

Analysis of Clinical Characteristics and Poor Prognostic Predictors in Patients With an Initial Diagnosis of Autoimmune Encephalitis

Purpose: We aimed to retrospectively analyze the clinical features, laboratory and imaging results, and predictors of poor prognosis for patients with an initial diagnosis of autoimmune encephalitis (AE) at the Affiliated Hospital of Zunyi Medical University. Methods: Fifty patients with an initial diagnosis of AE who were admitted to our hospital from May 2014 to May 2018 were enrolled retrospectively. Clinical characteristics and experimental test data, including the neutrophil-to-lymphocyte ratio (NLR), were collected from medical records within 24 h of admission. Independent prognostic factors were determined by multivariate logistic regression analysis. A good or poor prognosis for patients was defined based on the modified Rankin Scale (mRS). The correlation between the immunotherapy latency and prognostic mRS score was determined using the Spearman rank correlation test. Results: Univariate analysis indicated that increased NLR (P = 0.001), decreased lymphocyte counts (P = 0.001), low serum albumin (P = 0.017), consciousness disorders (P = 0.001), epileptic seizures (P = 0.007), extrapyramidal symptoms (P = 0.042), abnormal electroencephalogram (EEG) findings (P = 0.001), abnormal brain magnetic resonance imaging (MRI) findings (P = 0.003), and pulmonary infection complications (P = 0.000) were associated with the poor prognosis of AE. Multivariate logistic regression analysis showed that NLR (odds ratio [OR] 2.169, 95% confidence interval [CI] 1.029-4.570; P < 0.05) was an independent risk factor for predicting the poor prognosis of AE. NLR > 4.45 was suggested as the cut-off threshold for predicting the adverse outcomes of AE. In addition, we revealed that there was a positive correlation between immunotherapy latency and mRS score (r_s = 0.535, P < 0.05). Conclusions: NLR may have predictive value for the poor outcomes of AE. Early initiation of immunotherapy is associated with a good prognosis.

Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio as haematological indices of inflammatory response in ceramic workers' silicosis

INTRODUCTION

Occupational exposure to crystalline silica over time may result in silicosis: a fatal, irreversible occupational disease leading to lung function impairment. A complex inflammatory process, excessive accumulation of mesenchymal cells and collagen production are the primary mechanisms underlying silicosis. Neutrophil to lymphocyte ratio (NLR) and the platelet to lymphocyte ratio (PLR) have emerged as representative indices of systemic inflammation.

OBJECTIVES

The purpose of the present study was to investigate the relationship between NLR, PLR and silicosis.

METHODS

We retrospectively analysed the demographic and laboratory data of ceramic workers who were referred to our Hospital between 2010 and 2018. Five hundred and seventy-three patients with silicosis and 222 ceramic workers without silicosis (controls) were included in the study.

RESULTS

The radiographic ILO classification of silicosis patients was as follows: category 1 (71.5%), category 2 (19.2%), category 3 (7.5%). NLR and PLR in categories 2 and 3 were significantly higher when compared with the control group (P < .005). FEV₁ , FEV₁ %, FVC, FVC % and PEF were significantly lower in all silicosis patients and also in patients with subcategories (all P < .005). NLR showed a poor positive correlation with CRP (r = 0.095, P < .05) and ESR (r = 0.207, P = .000) while PLR only with ESR (r = 0.317, P = .000) in patients with silicosis. NLR and PLR showed negative correlations with FEV₁ , FVC and PEF (all P < .005).

CONCLUSION

We conclude that NLR and PLR have significant but poor correlations with pulmonary functions and severity of silicosis, especially in late radiographic profusion categories.

Value of neutrophil to lymphocyte ratio combined with red blood cell distribution width for predicting severity of acute pancreatitis

AIM

To explore the value of neutrophil to lymphocyte ratio (NLR) combined with red blood cell distribution width (RDW) for predicting the severity of acute pancreatitis (AP).

METHODS

The clinical data of 120 patients with AP were retrospectively analyzed in this study. The patients were assigned to three groups: mild AP (MAP) group, moderately severe AP (MSAP) group, and severe AP (SAP) group. The clinical indexes (NLR and RDW) of the three groups of patients were measured at 24 h after hospitalization. All of these data were compared among the groups, and between dead patients and surviving cases. The receiver operator characteristic curves (ROCs) of NLR, RDW, and NLR plus RDW were plotted to assess their value in predicting the prognosis of AP.

RESULTS

With the increase of the severity of AP, the value of NLR increased significantly (P < 0.05). There was no significant difference in RDW between the MAP and MSAP groups (P > 0.05). The RDW value of the SAP group was significantly different from those of the MAP and MSAP groups (P < 0.05). The values of NLR and RDW in the death group were significantly higher than those in the survival group (P < 0.05). The area under the curve of NLR in predicting AP severity was 0.794, which was significantly higher than that of RDW (0.745; P < 0.05). The area under the NLR + RDW curve was 0.876 (sensitivity, 0.795; specificity, 0.852), which was significantly higher than that of NLR and RDW alone (P < 0.05).

CONCLUSION

NLR and RDW are both related to the severity of AP, and the combination of the two indexes can improve the sensitivity and specificity of predicting the severity of AP.