Neutrophil to lymphocyte ratio and clinical outcomes in COPD: recent evidence and future perspectives

Relationship between advanced lung cancer inflammation index and all-cause and cause-specific mortality among chronic inflammatory airway diseases patients: a population-based study

Background

Chronic inflammatory airway diseases (CIAD), such as asthma, chronic bronchitis, and chronic obstructive pulmonary disease, pose a significant threat to public health, with its prognosis closely tied to the body's inflammation level and nutritional status. As a composite indicator, the advanced lung cancer inflammation index (ALI) integrates inflammation and nutritional status. Despite its potential utility, the link between ALI and the prognosis of patients with CIAD remains unexplored. This study aimed to investigate this relationship.

Methods

We gathered data from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2018. The National Death Index was used to calculate mortality until December 31, 2019. Kaplan-Meier analysis was employed to investigate the relationships between ALI and all-cause and cause-specific mortality in patients with CIAD. Furthermore, weighted univariable and multivariable Cox proportional hazards models were employed to further examine their relationship. Multiple factors that could impact the results were adjusted in the analysis. We also utilized a restricted cubic spline analysis to estimate the non-linear relationships between ALI and all-cause and cause-specific mortality rates in patients with CIAD. Finally, subgroup and sensitivity analyses were conducted to ensure the reliability of the findings.

Results

The study involved 2,884 CIAD patients. An elevated ALI was significantly related to a decreased risk of all-cause mortality, as well as mortality from cardiovascular and respiratory diseases among CIAD patients. Results from RCS analysis revealed a reverse J-shaped non-linear association between ALI and all-cause mortality in CIAD patients, with an inflection point at 99 (p for nonlinearity <0.0001). The inflection point in the J-shaped relationship represents the ALI value with the lowest risk of mortality. For ALI values below 99, a 10-unit rise in ALI was linked to a 14% reduction in the risk of all-cause mortality (HR: 0.86, 95% CI:0.81-0.92, Ptrend=0.01). Conversely, if ALI exceeded 99, a 10-unit increase in ALI resulted in a 3% rise in the risk of all-cause mortality (HR: 1.03, 95% CI:1.01-1.06, Ptrend=0.02). A similar J-shaped association was observed in mortality due to cardiovascular and respiratory diseases, with inflection points at 94 and 96, respectively. These findings were consistent across sociodemographic and prior disease-related subgroups, and remained stable in sensitivity analyses.

Conclusion

This study revealed a novel association between elevated ALI level and reduced all-cause and cause-specific mortality risk in patients with CIAD. Furthermore, the relationship between ALI and mortality rates from all cause, as well as cardiovascular and respiratory diseases, exhibited an non-linear, J-shaped curve. These findings underscore the importance of maintaining optimal ALI levels within a specific range to promote long-term survival in CIAD patients. The dynamic variation in ALI over time also can help clinicians establish personalized ALI standards to maximize the long-term outcomes for CIAD patients.

Chronic Obstructive Pulmonary Disease and COVID-19: The Impact of Hematological Biomarkers on Disease Severity and Outcomes

Background/Objectives: Chronic obstructive pulmonary disease (COPD) patients are at heightened risk of severe COVID-19 due to underlying respiratory impairment, systemic inflammation, and immune dysregulation. This review explores the hematological changes that occur in COPD patients with COVID-19 and their implications for disease progression, prognosis, and clinical management. Methods: We conducted a comprehensive analysis of recent peer-reviewed studies from medical databases including Clarivate Analytics, PubMed, and Google Scholar. Results: Hematological alterations, such as lymphopenia, elevated neutrophil-to-lymphocyte ratio (NLR), increased D-dimer and fibrinogen levels, inflammatory anemia, and erythrocyte dysfunction, are commonly observed in COPD patients with COVID-19. These changes are linked to immune suppression, hyperinflammation, oxidative stress, and thromboembolic complications. Conclusions: Hematological biomarkers are valuable tools for early risk assessments and guiding treatment strategies in this high-risk population. The regular monitoring of D-dimer, fibrinogen, and NLR is advisable. Prophylactic anticoagulation and immunomodulatory therapies, such as corticosteroids and IL-6 and IL-1 inhibitors, may improve clinical outcomes. Further clinical studies are needed to validate personalized approaches and explore antioxidant-based interventions.

Trimethylamine N-oxide as a potential prognostic biomarker for mortality in patients with COVID-19 disease

PURPOSE

Trimethylamine N-oxide (TMAO) is suggested as a biomarker for inflammatory and cardiovascular diseases which are identified as risk factors for severe cases of coronavirus disease 2019 (COVID-19). Our primary aim was to assess prognostic potential of serum TMAO levels in predicting COVID-19-related mortality. The secondary aim was to examine the potential of various biochemical parameters, particularly those associated with inflammation or thrombosis, as predictors of mortality.

PATIENTS AND METHODS

In this prospective and single-centre study, COVID-19 patients were categorized as death (group 1) or discharged (group 2) based on their in-hospital mortality status. The characteristics of participants were documented, and clinical data, including TMAO, angiotensin-converting enzyme-2 (ACE2), and neutrophil to lymphocyte ratio (NLR), were determined. The association of these independent variables with the COVID-19-related mortality, was assessed by calculation of crude odds ratios (OR) in bivariate and logistic regression analysis. Receiver operation characteristic (ROC) analysis was used for cut-off values.

RESULTS

The serum levels of TMAO, ACE2 and NLR were markedly higher in group 1 on the days of hospital admission (p ​< ​0.05, p ​< ​0.05, and p ​< ​0.01, respectively). Serum TMAO levels (OR 1.422; 95 ​% CI [1.067-1.894]; p ​= ​0.016) and NLR (OR 1.166; 95 ​% CI [1.012-1.343]; p ​= ​0.033) were determined as independent predictors for COVID-19-related mortality with after multivariate logistic regression analysis. The optimal cut-off values were detected as 7.9 ​ng/ml for TMAO (71 ​% sensitivity, 68 ​% specificity, AUC ​= ​0.701).

CONCLUSIONS

The findings of this initial study indicate that serum TMAO levels and NLR may be useful in predicting mortality in the early stages of COVID-19.

Correlation between the neutrophil-to-lymphocyte ratio and the 90-day all-cause mortality in patients with acute respiratory failure: a retrospective analysis based on the MIMIC-IV Database

INTRODUCTION

This study aims to examine the impact of the neutrophil-to-lymphocyte ratio (NLR) on 90-day all-cause mortality in individuals suffering from acute respiratory failure (ARF).

METHODS

Retrospectively including ARF patients from the MIMIC IV database, we classified them into the survivor and non-survivor cohorts according to their 90-day all-cause mortality rate. Demographic information, comorbidity, laboratory parameters, and other indices were collected.

RESULTS

A total of 3941 patients aged 65.0 years were enrolled in this. Multivariate COX regression analysis identified age(HR = 1.034, 95%CI:1.025-1.042,P < 0.001), history of chronic obstructive pulmonary disease(HR = 1.406, 95%CI:1.051-1.879,P = 0.022), history of hypertension(HR = 1.287, 95%CI:1.021-1.622,P = 0.032), history of type 2 diabetes mellitus(HR = 1.389, 95%CI:1.073-1.798,P = 0.013),history of coronary heart disease(HR = 2.138, 95%CI:1.639-2.788,P < 0.001), respiratory rate(HR = 1.043, 95%CI:1.026-1.01,P < 0.001), platelets (HR = 0.998, 95%CI: 0.997-0.999,P = 0.001), hemoglobin(HR = 0.859, 95%CI:0.820-0.901,P < 0.001), serum sodium (HR = 0.959, 95%CI:=0.041) and NLR(Q4, in comparison to Q1, HR = 1.627, 95%CI:1.167-2.268,P = 0.004) as independent predictors of the 90-day all-cause mortality rate. The relationship between NLR and mortality was observed to be non-linear(P-non-linear = 0.008) based on RCS curve analysis, with a threshold value of 12.8. A high NLR above this threshold was significantly associated with increased 90-day mortality rate after adjustment for covariates(HR = 1.535, 95%CI:1.196-1.968,P < 0.001).

CONCLUSION

The role of NLR as a risk factor in predicting 90-day all-cause mortality in ARF patients highlights its potential clinical usefulness in assessing patient prognosis.

Predictive value of neutrophil to lymphocyte ratio for the clinical outcomes of acquired immune deficiency syndrome: a systematic review and meta-analysis

Objective

This study aimed to explore the predictive value of the neutrophil-to-lymphocyte ratio (NLR) for outcomes in Acquired Immune Deficiency Syndrome (AIDS) patients.

Methods

PubMed, Embase, Cochrane, and Web of Science were conducted to search literature up to May 2024 and cohort and case-control studies were included. The primary outcomes were mortality and progression-free survival (PFS). Pooled odds ratios (ORs) or hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model. We conducted sensitivity analyses to assess result stability, reliability, and subgroup analyses to identify sources of heterogeneity using Review Manager 5.4.1. Egger's tests were performed with Stata 15.1, and funnel plots were generated using Review Manager 5.4.1. Microsoft Excel was used for the initial data summarization.

Results

Fourteen studies involving 30,752 AIDS patients were included. The pooled data showed higher NLR significantly associated with increased mortality (OR: 1.85, 95% CI: 1.43-2.41, p < 0.00001) and shorter progression-free survival (PFS) (HR: 2.46, 95% CI: 1.32-4.59, p = 0.005). Subgroup analyses revealed that NLR's predictive value was greater in studies with post-ART measurements. Sensitivity analyses show stable and reliable results. Egger's test and funnel plot analysis revealed no significant publication bias.

Conclusion

NLR is a key prognostic biomarker for predicting mortality and progression-free survival (PFS) in AIDS patients. Incorporating NLR into predictive models may improve prognostic assessments and guide clinical decision-making.

Systematic Review Registration

PROSPERO (CRD42024532918: https://www.crd.york.ac.uk/PROSPERO).

Prognostic value of the Naples Prognostic Score in adult chronic obstructive pulmonary disease: NHANES 2005-2018

Background

Previous studies have demonstrated that the Naples Prognostic Score (NPS) provides strategic direction in the prognosis of malignant illness. Nevertheless, its relationship with chronic obstructive pulmonary disease (COPD) remains underexplored. Therefore, additional research specifically focusing on the relationship between the Naples Prognostic Score and COPD is necessary to determine its widespread applicability.

Objectives

The objective was to explore the relationship between the NPS and the susceptibility to developing COPD.

Methods

A total of 15,184 participants were included in our research, and statistical analyses were performed after weighting. We used weighted logistic regression to assess whether the NPS and COPD had a relationship, as well as its association with lung function. Subgroup analysis was used to detect the interaction. In addition, Kaplan-Meier survival curves were generated, and adjusted hazard ratios of different causes of death were calculated using Cox regression.

Results

Our investigation examined 15,184 participants' data and then revealed a significant positive link between the NPS and COPD risk, while smoking has an interactive effect on it. A trend toward a decreasing prevalence of lung function indicators such as FEV1 [OR (95%CI), -339.70 (-456.53, -222.87)], FVC [OR (95%CI), -296.70 (-435.34, -158.06)], FEV1/FVC [OR (95%CI), -0.03 (-0.04, -0.02)], predicted FEV1 [OR (95%CI), -0.09 (-0.14, -0.04)], and predicted FVC [OR (95%CI), -0.08 (-0.15, -0.01)] was observed with increased NPS levels. Survival curves were drawn, and Cox regression analysis was conducted by dividing participants into group 0, group 1, and group 2 with NPS values of 0, 1-2, and 3-4, respectively. After assigning participants to groups 0, 1, and 2, with NPS values of 0, 1-2, and 3-4, respectively, the survival curves were created, and the Cox regression analysis was carried out. All-cause mortality [HR (95%CI), 1.68 (1.39-2.85)] and hypertension-related mortality [HR (95%CI), 67.64 (8.88-515.07)] of group 2 were significantly elevated.

Conclusion

The findings of this study suggested that the NPS serves as a robust prognostic indicator of COPD.

Serum eosinophil-derived neurotoxin: a new promising biomarker for cow's milk allergy diagnosis

BACKGROUND

Cow's Milk Allergy (CMA) diagnosis is often a challenge due to the non-specific nature of symptoms and lack of a confirmatory diagnostic test. To our knowledge no previous studies investigated serum Eosinophil-Derived Neurotoxin (sEDN) in CMA. So, we aimed to assess the role of sEDN in CMA diagnosis.

METHODS

Forty-five infants with CMA were compared to 45 infants with functional gastrointestinal disorders (FGIDs) and 45 healthy controls. For all participants, Cow's Milk-related Symptom Score (CoMiSS) was documented, and sEDN level with hematological parameters were measured before starting elimination diet.

RESULTS

Receiver operation characteristic (ROC) curve identified sEDN > 14 ng/mL and CoMiSS > 9 as the optimal cut-off points to discriminate CMA from other groups with sensitivity 86.67%, 97.78% and specificity 60.00%, 78.89% respectively. Additionally, absolute neutrophil count (ANC) showed the highest sensitivity and specificity (80.0% and 78.89%) among hematological parameters. Although CoMiSS and ANC showed a significant positive correlation with sEDN in CMA group, CoMiSS was the only significant predictor for sEDN in multivariate linear regression.

CONCLUSIONS

sEDN showed high sensitivity in discriminating infants with and without CMA. Therefore, it is suggested as a potential biomarker for CMA diagnosis. Also, ANC should be closely monitored in these infants.

IMPACT

CMA presents with high heterogeneity, which complicates the diagnosis especially non-IgE-mediated and mixed types. So, oral food challenge continues to be the gold standard for its diagnosis. ROC curve identified CoMiSS > 9 as the best cut-off point to identify CMA. However, CoMiSS is a good awareness tool for CMA but not a diagnostic tool. sEDN level was significantly higher in infants with CMA with a good diagnostic performance in differentiating them than those without CMA. So, it is suggested as a potential biomarker for CMA diagnosis. ANC could have a role in CMA diagnosis and differentiating it from FGIDs.

Identification of Severe Acute Exacerbations of Chronic Obstructive Pulmonary Disease Subgroups by Machine Learning Implementation in Electronic Health Records

Rationale

Acute exacerbations of chronic obstructive pulmonary disease (AECOPDs) are heterogeneous. Machine learning (ML) has previously been used to dissect some of the heterogeneity in COPD. The widespread adoption of electronic health records (EHRs) has led to the rapid accumulation of large amounts of patient data as part of routine clinical care. However, it is unclear whether the implementation of ML in EHR-derived data has the potential to identify subgroups of AECOPD.

Objectives

To determine whether ML implementation using EHR data from severe AECOPDs requiring hospitalization identifies relevant subgroups.

Methods

This study used 2 retrospective cohorts of patients with AECOPDs (non-COVID-19 and COVID-19) treated at Yale-New Haven Hospital. K-means clustering was used to identify patient subgroups.

Measurements and Main Results

We identified 3 subgroups in the non-COVID cohort (n=1736). Each subgroup had distinct clinical characteristics. The reference subgroup was the largest (n=904), followed by cardio-renal (n=548) and eosinophilic (n=284). The eosinophilic subgroup had milder severity of AECOPD, including a shorter hospital stay (p<0.01). The cardio-renal subgroup had the highest mortality during (5%) and in the year after hospitalization (30%). Validation of the severe AECOPD classifier in the COVID-19 cohort recapitulated the characteristics seen in the non-COVID cohort. AECOPD subgroups in the COVID-19 cohort had different interleukin (IL)-1 beta, IL-2R, and IL-8 levels (false discovery rate ≤ 0.05). These specific leukocyte and cytokine profiles resulted in inflammatory differences between the AECOPD subgroups based on C-reactive protein levels.

Conclusions

Incorporating ML with EHR data allows the identification of specific clinical and biological subgroups for severe AECOPD.

Stability of Neutrophil to Lymphocyte Ratio in Acute Exacerbation of Chronic Obstructive Pulmonary Disease and Its Relationship with Clinical Outcomes: A Retrospective Cohort Study

Background

More studies have focused on the clinical value of the measurement of the neutrophil-to-lymphocyte ratio (NLR) in acute exacerbations of chronic obstructive pulmonary disease (AECOPD). This study aims to assess the stability of NLR in hospitalized AECOPD patients and its relationship with clinical prognosis.

Methods

This retrospective observational study recruited patients hospitalized with AECOPD from January 2020 to December 2023. Using receiver operating characteristic curves, we determined the optimal NLR cutoff, categorizing NLR stability into four groups: persistent high (NLR ≥ 3.8), increased (NLR < 3.8 at admission but ≥ 3.8 at discharge), decreased (NLR ≥ 3.8 at admission but < 3.8 at discharge), and persistent low (NLR < 3.8). Adverse hospital outcomes included hospital mortality, transfer to the intensive care unit (ICU), invasive mechanical ventilation (IMV), and length of hospital stay (LOS) ≥ 14 days. The associations between NLR stability and these outcomes were analyzed using multivariable logistic regression and Cox hazard analysis.

Results

Among 841 patients hospitalized for AECOPD, the mean age was 72.1±9.5 years, with 644 males (76.6%) and 197 females (23.4%). The proportions and distribution for groups: persistent high, decreased, increased, and persistent low groups were 109 (12.9%), 175 (20.8%), 216 (25.7%), and 341 (40.5%), respectively. The persistent high group had the worst outcomes, including higher IMV use, ICU transfer, LOS > 14 days, and hospital cost, compared to the persistent low group. Compared to the persistent high group, the persistent low group (HR: 0.13; 95% CI: 0.10-0.24) and the decreased group (HR: 0.40; 95% CI: 0.22-0.73) are statistically significant for the risk of death, while the increased group (HR: 0.63; 95% CI: 0.37-1.04) does not show a statistically significant difference.

Conclusion

AECOPD patients who have persistent low NLR group face a low risk of adverse hospital outcomes and mortality after 6 months after discharge. The stability of NLR may serve as a novel biomarker for identifying AECOPD patients at increased risk of poor hospital outcomes.

Association between dust exposure and lung function levels in steelworkers: mediation analysis of inflammatory biomarkers

PURPOSE

This investigation aimed to examine the mediating effect of inflammatory biomarkers on the relationship between dust exposure and lung function levels among steelworkers.

METHODS

The study comprised 2,315 front-line workers employed at an iron and steel company in Tangshan, who underwent occupational health assessments through cluster sampling. Demographic and lifestyle data were collected via a self-administered questionnaire, while physical examinations measured parameters such as height and weight. Lung function was assessed using a portable pulmonary function tester (CHEST). Blood cell counts were uniformly analyzed using a Mindray fully automated biochemistry analyzer (BS-800). Inflammatory biomarkers, including leukocyte count, neutrophil count, lymphocyte count, and platelet count, were assessed, and the neutrophil-to-lymphocyte ratio and systemic immune inflammation index were computed. Generalized linear models and Spearman rank correlation analyses were employed to explore the interplay among dust exposure, inflammatory biomarkers, and alterations in lung function. A mediation analysis model was constructed to elucidate how inflammatory biomarkers mediate the relationship between dust exposure and lung function levels.

RESULTS

After adjusting for covariates, dust exposure was significantly associated with reduced lung function levels, with statistically significant differences observed between dust-exposed and non-exposed groups across various lung function indicators (P < 0.001). In the dust-exposed group, inflammatory biomarkers were elevated, showing significant correlations with FVC and FEV1 (P < 0.05). However, the correlation between FEV1/FVC and various inflammatory biomarkers was insignificant (P > 0.05). Mediation analysis revealed that white blood cells and neutrophils partially mediated the association between dust exposure and FVC, with proportions of 1.75% and 1.09%, respectively. Similarly, white blood cells, neutrophils, and the systemic immune inflammation index partially mediated the association between dust exposure and FEV1, with proportions of 1.15%, 0.82%, and 0.82%, respectively.

CONCLUSION

In conclusion, dust exposure poses a risk for decreased lung function levels. Inflammatory biomarkers derived from blood cells offer a valuable and easily obtainable means of identifying changes in lungfunction levels. Among these biomarkers, white blood cells, neutrophils, and the systemic immune inflammation index significantly mediate the association between dust exposure and lung function levels, although further exploration is needed to understand their underlying mechanisms.

The Prognostic Role of Advanced Lung Cancer Inflammation Index in Patients with Idiopathic Pulmonary Fibrosis

Background: The advanced lung cancer inflammation index (ALI) is an innovative and thorough measure designed to assess both inflammation and nutritional status. It includes parameters such as albumin, body mass index (BMI), and the neutrophil-to-lymphocyte ratio (NLR). This research seeks to evaluate the prognosis of idiopathic pulmonary fibrosis (IPF) patients by integrating both inflammation and nutritional status, distinguishing it from conventional inflammation biomarkers. Methods: This study included 102 patients with IPF. Clinical data were extracted from the patients' medical records. NLR and ALI scores were calculated based on data collected at the initiation of antifibrotic treatment using the following formulas: Neut/Lym for NLR and albumin × BMI/NLR for ALI. Results: ALI values were assessed across various IPF patient subgroups based on gender-age-physiology (GAP) stages (1, 2, and 3), forced vital capacity (FVC) (median split: <70% vs. ≥70%), diffusing capacity for carbon monoxide (DLCO) (<51% vs. ≥51%), 6-Minute Walk Test (6MWT) (<350 vs. ≥350), and the Charlson comorbidity index (CCI) (≤1 vs. >1). Significant differences in ALI were observed with respect to GAP stages, FVC, DLCO, and 6MWT categories (p = 0.000 for all), but not for CCI categories (p = 0.233). Receiver operating characteristic (ROC) curve analysis revealed that ALI had a sensitivity of 63.6% and a specificity of 98.9% at a threshold of 11.2 (AUC = 0.945, 95% CI 0.892-0.998, p < 0.000). Conclusions: Our findings indicate that ALI levels are significantly associated with disease severity and mortality in IPF patients.

Using the Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Prognostic Markers for Obstructive Sleep Apnea: A Systematic Review and Meta-Analysis of Observational Studies

Obstructive sleep apnea (OSA) is a chronic condition characterized by the partial or complete collapse of the airways during sleep, leading to hypoxemia (reduced oxygen flow to organs) and disrupted sleep. This study aims to establish robust evidence for the relationship between the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) and the severity and prognosis of OSA. A systematic review and meta-analysis were conducted using PubMed, Cochrane Central Register of Controlled Trials, Scopus, Medline, and Web of Science to gather all relevant articles. Twenty-six eligible articles were included in the study. The pooled outcomes indicated that the NLR and PLR were significantly higher in patients with OSA compared to controls. Subgroup analyses based on the severity of OSA showed that differences in the NLR were more pronounced in patients with severe OSA. Moreover, meta-regression analysis revealed that variations in mean age, BMI, and male proportion did not significantly affect the differences in the NLR and PLR. OSA has a significant impact on NLR and PLR levels, making them useful markers for detecting the inflammatory status in OSA patients.

Predictive value of neutrophil-to-lymphocyte ratio for adverse outcomes in hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease: A retrospective study

Chronic obstructive pulmonary disease (COPD) stands as one of the leading causes of mortality worldwide. Acute exacerbations of COPD (AECOPD) lead to rapid respiratory function decline and worsened disease status. Despite recent studies, the ability of the neutrophil-to-lymphocyte ratio (NLR) to predict outcomes in patients with COPD remains controversial. We investigated the predictive value of NLR for adverse outcomes in hospitalized patients with AECOPD. A retrospective study was conducted at the Department of Pulmonary Medicine, Cho Ray Hospital (Vietnam) from November 2019 to November 2021. The study extracted data from patients diagnosed with AECOPD at discharge and met the inclusion criteria. NLR is calculated by dividing the number of neutrophils by the number of lymphocytes in the peripheral blood test. Adverse outcomes are defined as invasive mechanical ventilation, admission to intensive care unit, or in-hospital mortality. Multivariable regression analysis was conducted to identify variables predicting adverse outcomes. The cutoff, sensitivity, specificity, area under the curve, and receiver operating characteristic of NLR were determined for predicting adverse outcomes. Two hundred eighty-seven patients with AECOPD were included in the final analysis, with a mean age of 70.9, and males comprising 92.7%. The rate of adverse outcomes was 15.7%. Multivariable logistic regression identified reduced consciousness at admission (adjusted odds ratio = 0.08, 95% confidence interval [CI]: 0.02-0.38, P = .001) and high NLR (adjusted odds ratio = 1.17, 95% CI: 1.10-1.24, P < .001) as predictors of adverse outcomes. The receiver operating characteristic of NLR's predictive value yielded an area under the curve of 0.877 (95% CI: 0.83-0.93). An NLR cutoff of 11.0 predicted adverse outcomes with a sensitivity of 80.0%, specificity of 77.7%, and an odds ratio of 13.9 (95% CI: 6.3-30.7), P < .001. NLR is a simple, routine, and cost-effective tool for predicting adverse outcomes in hospitalized patients with AECOPD. Future studies should evaluate the kinetics of NLR in predicting treatment response in patients with AECOPD.

Interleukin 16 and 25 (IL-17E) and Clinical Outcomes in Exacerbation of COPD-A Pilot Study

Background: Exacerbation of chronic obstructive pulmonary disease (ECOPD) significantly impact health status, hospitalization rates, and disease progression, and are linked to increased mortality. Predictive factors for ECOPD are therefore of considerable interest. The limited understanding of interleukin 16 (IL-16) and IL-25 role in ECOPD provided the rationale for this study. Methods: Fifty ex-smokers diagnosed with COPD (22 ECOPD and 28 patients in the stable phase of the disease) underwent prospective analysis to evaluate the role of I IL-25 as predictive markers of clinical outcomes in ECOPD. Results: We observed a significantly lower IL-16 and higher IL-25 concentrations among ECOPD patients (p = 0.002 and p = 0.01 respectively). We also detected a significant negative correlation between IL-16 and neutrophil-to-lymphocyte ratio (NLR) (p = 0.04) and a significant negative correlation between IL-25 concentration and absolute eosinophil count (p = 0.04). In the entire group, we observed a positive correlation between IL-16 and both FEV1 and FVC, both expressed as a percentage of reference value, (p = 0.002 and p = 0.0004 respectively). However, after stratification to ECOPD and stable COPD group, significance maintained for FVC (p = 0.045 for ECOPD and p = 0.02 for stable COPD). In survival analysis, we detected significantly lower all-cause mortality for 3rd tertile of IL-16 concentrations, with a hazard ratio of 0.33 (95%CI: 0.11-0.98; p = 0.04). Conclusions: Lower IL-16 levels among ECOPD patients may indicate a feedback mechanism linked to heightened Th1 response activation. Observed correlations with ventilatory parameters and survival also seems to reflect this mechanism. The higher IL-25 concentrations observed in ECOPD patients, along with the negative correlation with absolute eosinophil count and eosinopenia, suggest multifactorial regulation and independent functions of eosinophils and IL-25. Hypothetically, this paradox may be related to the Th1/Th2 imbalance favoring Th1 response. Obtained results should be reproduced in larger size samples.

The role of serum chloride ion in the prognosis of COPD

BACKGROUND

As exacerbations of chronic obstructive pulmonary disease (COPD) are one of the leading causes of hospitalization and are associated with significant mortality, it is particularly important to accurately assess the risk of exacerbations in COPD. Most of the current clinical biomarkers are related to inflammation and few consider how ion levels affect COPD. Chloride ion, the second most abundant serum electrolyte, has been shown to be associated with poor prognoses in several diseases, but their relationship with COPD remains unclear.

METHODS

In total, 105 patients with acute exacerbations of COPD were recruited. Data on clinical characteristics, lung function, blood count, blood biochemistry, relevant scales including the Clinical COPD Questionnaire (CCQ), BODE (BMI, airflow obstruction, dyspnea, exercise capacity) index and the St. George's Respiratory Questionnaire (SGRQ) were collected from all patients for statistical analysis.

RESULT

There were significant differences in lung function indicators and disease severity in the low chloride ion subgroup compared with the high chloride ion subgroup. On multiple logistic regression analysis, chloride ion was an independent factor affecting lung function in COPD patients (OR=0.808, 95% CI: 0.708 - 0.922, p=0.002). The sensitivity of chloride ion in predicting COPD severity was 78%, the specificity was 63%, and the area under the curve was 0.734 (p<0.001). Subgroup analysis showed that chloride ion was a stronger predictor in male and smoking patients.

CONCLUSIONS

Chloride ion was a novel prognostic biomarker for COPD, and low levels of chloride ion were independently associated with exacerbations in COPD patients.

The prognostic value of blood cellular indices in pulmonary embolism

Prognostication in acute pulmonary embolism (PE) requires reliable markers. While cellular indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) appear promising, their utility in PE prognostication needs further exploration. We utilized data from the RIETE registry and the Loyola University Medical Center (LUMC) to assess the prognostic value of NLR, PLR, and SII in acute PE, using logistic regression models. The primary outcome was 30-day all-cause mortality. We compared their prognostic value versus the simplified Pulmonary Embolism Severity Index (sPESI) alone. We included 10 085 patients from RIETE and 700 from the LUMC. Thirty-day mortality rates were 4.6% and 8.3%, respectively. On multivariable analysis, an elevated NLR (>7.0) was associated with increased mortality (adjusted odds ratio [aOR]: 3.46; 95% CI: 2.60-4.60), outperforming the PLR > 220 (aOR: 2.36; 95% CI: 1.77-3.13), and SII > 1600 (aOR: 2.52; 95% CI: 1.90-3.33). The c-statistic for NLR in patients with low-risk PE was 0.78 (95% CI: 0.69-0.86). Respective numbers were 0.66 (95% CI: 0.63-0.69) and 0.68 (95% CI: 0.59-0.76) for intermediate-risk and high-risk patients. These findings were mirrored in the LUMC cohort. Among 9810 normotensive patients in RIETE, those scoring 0 points in sPESI and with an NLR ≤ 7.0 (35% of the population) displayed superior sensitivity (97.1%; 95% CI: 95.5-98.7) and negative predictive value (99.7%; 95% CI: 99.5-99.8) than sPESI alone (87.1%; 95% CI: 83.9-90.3, and 98.7%; 95% CI: 98.4-99.1, respectively) for 30-day mortality. The NLR is a significant prognostic marker for 30-day mortality in PE patients, especially useful to identify patients with very low-risk PE.

What every clinician should know about inflammation in COPD

Inflammation drives COPD pathogenesis and exacerbations. Although the conceptual framework and major players in the inflammatory milieu of COPD have been long established, the nuances of cellular interactions and the etiological differences that create heterogeneity in inflammatory profiles and treatment response continue to be revealed. This wealth of data and understanding is not only a boon to the researcher but also provides guidance to the clinician, moving the field closer to precision medicine. It is through this lens that this review seeks to describe the inflammatory processes at play in COPD, relating inflammation to pathological and functional changes, identifying patient-specific and disease-related factors that may influence clinical observations, and providing current insights on existing and emerging anti-inflammatory treatments and treatment targets, including biological therapies and phosphodiesterase (PDE) inhibitors.

The Biomarker Potential of the Neutrophil-to-Lymphocyte Ratio in Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Background Chronic obstructive pulmonary disease (COPD) is characterized by periods of exacerbations and seasonal variations due to the recruitment of inflammatory cells. Various cells, such as neutrophils, lymphocytes, and the inflammatory mediators released by them, play a role in its pathogenesis. The current study was conducted to determine the role of the neutrophil-to-lymphocyte ratio (NLR) as a marker in acute exacerbation of COPD (AECOPD). Materials and methods We conducted a cross-sectional observational study at a tertiary care center in Western Maharashtra over six months after receiving approval from the institutional ethics committee. The study included 50 patients with AECOPD and 30 age and gender-matched controls without COPD. The patients were examined with a detailed history, complete blood count, and spirometry. The NLR was calculated and patients' disease severity was assessed using Global Initiative for Chronic Obstructive Lung Disease (GOLD) staging. Results The mean age in the AECOPD group was 67.5 ± 12.5 years, whereas it was 46.2 ± 18.5 years in the control group. There was a male predominance in the AECOPD group (32/50). The majority of patients were in the GOLD stage 2 (42/50), followed by GOLD stage 3 (7/50). A total of 28 out of 50 AECOPD patients required admission to the medical intensive care unit. In the AECOPD group, 39 were smokers, and 11 were nonsmokers. Smoking was significantly associated with AECOPD when compared with controls. The mean NLR was 10.9 ± 10.2 in AECOPD patients and 4.3 ± 3.1 in the controls. Among cases with high NLR (≥5), seven required mechanical ventilation, 13 required noninvasive ventilation (NIV), and six succumbed to death. The mean duration of mechanical ventilation in this group was 12.5 ± 4.5 days, and for NIV, it was 7.5 ± 5.5 days. Conversely, patients with lower NLR (≤5) were more likely to avoid artificial ventilation and had a better in-hospital outcome. Conclusion COPD exacerbations can harm a patient's health, lead to disease progression, and increase mortality rates. Predicting exacerbations in advance can aid in early detection and treatment. NLR is an inexpensive, noninvasive, and easily available marker of inflammation and a predictor of outcome in AECOPD patients and hence should be calculated routinely in all patients with COPD.

Association between nutrition-related indicators with the risk of chronic obstructive pulmonary disease and all-cause mortality in the elderly population: evidence from NHANES

Background

This study aims to use six nutrition-related indicators to assess the relationship between nutritional status and the risk of COPD as well as the all-cause mortality rate, and to determine the most reliable predictive indicators.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2013 to 2018 were extracted. Nutritional status was evaluated using Controlling nutritional status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), Advanced Lung Cancer Inflammation Index (ALI), Prognostic Nutritional Index (PNI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Albumin-to-Globulin Ratio (AGR) nutritional-related indicators. Multivariate weighted logistic and Cox regression models were employed to assess the correlation between the six nutritional-related indicators and the risk of COPD and as all-cause mortality. The restricted cubic spline tests were applied to explore potential nonlinear relationships, and ROC curves and C-index analyses were conducted to compare the predictive capabilities of different indicators. Stratified analysis and propensity score matching (PSM) to assess the robustness of the results.

Results

In this study, Lower ALI, lower GNRI, and higher CONUT scores were positively correlated with an increased risk of COPD (OR: 1.77, 95% CI: 1.10-2.84) (OR: 8.66, 95% CI: 2.95-25.5), and (OR: 5.11, 95% CI: 1.72-15.2), respectively. It was found that ALI and GNRI had a non-linear relationship with the risk of COPD. After propensity score matching (PSM), the associations between ALI, GNRI, CONUT scores, and COPD remained consistent. Lower ALI, PNI, and GNRI scores were positively associated with all-cause mortality in COPD patients (HR: 2.41, 95% CI: 1.10-5.27), (HR: 3.76, 95% CI: 1.89-7.48), and (HR: 4.55, 95% CI: 1.30-15.9), respectively, with GNRI displaying a non-linear relationship with all-cause mortality. ROC curve and C-index analyses indicated that ALI had the best predictive ability for both COPD risk and all-cause mortality.

Conclusion

ALI, GNRI, and CONUT scores are correlated with the risk of COPD, while ALI, PNI, and GNRI scores are associated with all-cause mortality in COPD patients. Compared to other nutritional scores, ALI may provide more effective predictive value for both risk and all-cause mortality.

Prognostic potential of neutrophil-to-lymphocyte ratio, platelet to lymphocyte ratio, and monocyte to lymphocyte ratio in acute myocardial infarction patients combined with chronic obstructive pulmonary disease

Background

Inflammation is considered to play an important role in chronic obstructive pulmonary disease (COPD) and acute myocardial infarction (AMI), but the relationship between inflammation and poor prognosis in these patients has not yet been studied.

Methods

We enrolled AMI patients combined with COPD and divided them into three groups according to the tertiles of neutrophil-to-lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and monocyte to lymphocyte ratio (MLR) respectively. Logistic regression analyses were used to identify risk factors for in-hospital all-cause death in these patients. Covariates were adjusted stepwise to determine the association between inflammatory markers and poor prognosis. Also, the receiver operating characteristic (ROC) curve was used to evaluate the greatest predictive indicator for all-cause death.

Results

A total of 281 AMI patients combined with COPD were enrolled, of which 31 experienced in-hospital mortality. The risk of all-cause death was significantly higher among those with higher NLR. The highest tertile of NLR was significantly associated with an increased risk of all-cause death (all P < 0.05). This association remained significant after adjusting for confounding factors [Odds Ratio (OR): 10.571, 95% confidence interval (CI): 2.307-48.442, P = 0.002]. Moreover, compared to MLR and PLR, NLR had the highest predictive value for all-cause death [area under the curve (AUC): 0.764, 95% CI: 0.681-0.847].

Conclusion

In AMI patients combined with COPD, elevated levels of inflammation were associated with increased all-cause mortality. Compared to other inflammatory indicators, NLR may provide a more superior predictive value.

New markers in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD), a global healthcare and socioeconomic burden, is a multifaceted respiratory disorder that results in substantial decline in health status and life quality. Acute exacerbations of the disease contribute significantly to increased morbidity and mortality. Consequently, the identification of reliable and effective biomarkers for rapid diagnosis, prediction, and prognosis of exacerbations is imperative. In addition, biomarkers play a crucial role in monitoring responses to therapeutic interventions and exploring innovative treatment strategies. Although established markers such as CRP, fibrinogen and neutrophil count are routinely used, a universal marker is lacking. Fortunately, an increasing number of studies based on next generation analytics have explored potential biomarkers in COPD. Here we review those advances and the need for standardized validation studies in the appropriate clinical setting.

Relationship between neutrophil lymphocyte ratio and red blood cell distribution width and respiratory failure in COPD patients

The neutrophil lymphocyte ratio (NLR) and red blood cell distribution width (RDW) have been repeatedly demonstrated to be associated with risk of severity, progression, and prognosis of chronic obstructive pulmonary disease (COPD), but data on respiratory failure (RF) in patients with COPD are very limited. This study aimed to examine the relationship between NLR and RDW and the incident RF in patients with COPD. This is a retrospective study that reviewed data by examining the hospitalization medical records to identify those who were admitted with a diagnosis of COPD. Based on whether RF occurred during index hospitalization, patients were classified as COPD group and COPD combined with RF group. Also, healthy controls of the same age and sex were enrolled in a 1:1 ratio as the COPD group. Univariate comparisons were performed between three groups to examine differences. With the COPD group as reference, multivariable logistic regression was formed to identify the relationship between NLR and RDW and RF, with adjustment for multiple covariates. There were 136 healthy controls, 136 COPD patients and 62 patients with COPD combined with RF included for analysis. There was a significant difference for eight variables, including age, WBC, neutrophil, NLR, RDW, platelet, PLR, and CRP. The Spearman test showed the significant correlation between NLR and WBC (correlation coefficient, 0.38; P = .008), NLR and RDW (correlation coefficient, 0.32; P = .013), and NLR and CRP level (correlation coefficient, 0.54; P < .001). The multivariable logistic regression showed that age (every additional 10 years) (OR, 1.785), NLR (OR, 1.716), RDW (OR, 2.266), and CRP (OR, 1.163) were independently associated with an increased risk of RF. This study demonstrated the independent associative effect of NLR and RDW with RF in patients with COPD, exhibiting the potential clinical role in evaluating the progress of COPD to RF.

The role of neutrophil to lymphocyte ratio in patients with COPD-OSA overlap syndrome

PURPOSE

The aim of this study is to investigate the role of the neutrophil to lymphocyte ratio (NLR) in patients diagnosed with the chronic obstructive pulmonary disease-obstructive sleep apnea (COPD-OSA) overlap syndrome and comorbid pulmonary hypertension (PH).

PATIENTS AND METHODS

We enrolled a consecutive of stable COPD patients and conducted spirometry measurements, nocturnal polysomnography (PSG), and echocardiography for all participants. Clinical laboratory data were collected.

RESULTS

A total of 178 patients with stable COPD were enrolled among whom 33.14% (59/178) were diagnosed with OSA. Of the patients with overlap syndrome, 35.59% (21/59) showed comorbid PH, compared to 34.45% (41/119) in COPD patients without OSA. There was no significant difference in the occurrence of PH between COPD with and without OSA. NLR was significantly higher in patients with overlap syndrome compared to those with either disease alone. The difference in NLR between COPD-OSA patients with and without PH was not significant. Correlation analysis revealed that NLR was associated with age, total sleep time spent with oxygen saturation below 90% (T90), CRP, pulmonary artery systolic pressure (PASP), and minimum peripheral capillary oxygen saturation (SpO2min) in all COPD patients. NLR was identified as an independent factor contributing to OSA in COPD. The median cut-off value for detecting OSA in stable COPD was 2.49. However, NLR was not found to be a predictor for PH in COPD-OSA overlap syndrome.

CONCLUSIONS

NLR can serve as a predictive marker for comorbid OSA in patients with COPD. NLR is expected to increase its clinical application as a convenient and cost-effective biomarker for COPD-OSA overlap syndrome.

Systemic inflammation indices as hematological biomarkers of inflammatory response in non-silicotic workers exposed to respirable silica dust

This cross-sectional study was performed to assess whether systemic inflammatory indices, including systemic inflammation response index (SIRI), systemic immune‑inflammation index (SII), and aggregate index of systemic inflammation (AISI), can be considered as possible inflammatory markers in silica-exposed workers with no diagnosis of silicosis. We studied 371 non-silicotic workers exposed to respirable silica dust (RSD) and 1422 reference workers. The workers' exposure to RSD were assessed and the inflammatory indices were compared between subgroups of the exposed workers based on the severity and duration of exposure. Correlations between inflammatory indices and the pulmonary function parameters were investigated. Also, the receiver operating characteristic (ROC) curve and Youden index were used to determine the cut-off values of the SII, SIRI, and AISI. Significant dose-response relationships were observed between duration of exposure and all indices except monocytes and LMR. No significant interaction was observed between duration of exposure to RSD and smoking. Borderline significant correlations were observed between AISI and SIRI with forced expiratory volume (FEV1) and FEV1 to forced vital capacity (FVC) ratio. Higher AUCs were obtained for SII and AISI, respectively. The cut-off values for these biomarkers to be considered abnormal were > 348.48 for SII, > 183.78 for AISI, and > 0.768 for SIRI. Overall, the present study showed for the first time, that SII, AISI, and SIRI might be considered as available, easy-to-obtain, and non-expensive markers of inflammation in non-silicotic workers with a long duration of exposure to RSD who are at risk of developing silicosis in subsequent years.

Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR) and Monocyte-to-Lymphocyte Ratio (MLR) as Biomarkers in Diagnosis Evaluation of Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Retrospective, Observational Study

PURPOSE

Hierarchical management is advocated in China to effectively manage chronic obstructive pulmonary disease (COPD) patients and reduce the incidence and mortality of acute exacerbation of COPD (AE-COPD). However, primary and community hospitals often have limited access to advanced equipment and technology. Complete blood count (CBC), which is commonly used in these hospitals, offers the advantages of being cost-effective and easily accessible. This study aims to evaluate the significance of routine blood indicators in aiding of diagnosing AE-COPD.

PATIENTS AND METHODS

In this research, we enrolled a total of 112 patients diagnosed with AE-COPD, 92 patients with stable COPD, and a control group comprising 60 healthy individuals. Clinical characteristics, CBC parameters, and serum CRP levels were collected within two hours. To assess the associations between NLR/PLR/MLR and CRP by Spearman correlation test. The diagnostic accuracy of NLR, PLR and MLR in AE-COPD was assessed using Receiver Operating Characteristic Curve (ROC) and the area under the curve (AUC). Binary Logistic Regression analysis was conducted for the indicators of NLR, PLR and MLR.

RESULTS

We found that patients with AE-COPD had significantly higher levels of NLR, PLR and MLR in contrast to patients with stable COPD. Additionally, the study revealed a noteworthy correlation between CRP and NLR (rs=0.5319, P<0.001), PLR (rs=0.4424, P<0.001), and MLR (rs=0.4628, P<0.001). By utilizing specific cut-off values, the amalgamation of NLR, PLR and MLR augmented diagnostic sensitivity. Binary logistic regression analysis demonstrated that heightened NLR and MLR act as risk factors for the progression of AE-COPD.

CONCLUSION

The increasing levels of NLR, PLR and MLR could function as biomarkers, akin to CRP, for diagnosis and assessment of acute exacerbations among COPD patients. Further research is required to validate this concept.

Association Between Dietary Fiber Intake and Prevalence of Chronic Obstructive Pulmonary Disease in a Middle-Aged and Elderly Population: a Study Based on the National Health and Nutrition Examination Survey Database

Objective

This study aimed to investigate dietary fiber (DF) intake with the prevalence of chronic obstructive pulmonary disease (COPD) in the middle-aged and elderly population through analysis of the National Health and Nutrition Examination Survey (NHANES) data.

Methods

The study utilized data from 3 cycles of the NHANES database (2007-2012). The exposure variable was DF intake, and the outcome variable was COPD prevalence. Weighted logistic regression was utilized to construct relationship models between the 2 variables. Confounding factors were adjusted, and subgroup analysis was to explore the association of DF intake with COPD. Restricted cubic spline (RCS) analysis investigated the nonlinear relationship between DF intake and COPD. Finally, mediation analysis was performed to determine whether the influence of DF intake on COPD prevalence is mediated through the alteration of white blood cell (WBC) counts.

Results

This study included a total of 7301 eligible participants aged >40 years. The results of the study indicated that an increase in DF intake significantly reduced the prevalence of COPD (odds ratio: 0.98, 95% confidence interval: 0.96-0.99, p<0.001), and DF intake was correlated with lung function indicators (e.g., forced expiratory volume in 1 second). Stratified analysis revealed that an increased DF intake significantly reduced the risk of COPD in male individuals, middle-aged individuals (aged 40-59 years), those with a body mass index ≤30 kg/m2, individuals with a history of smoking, and alcohol consumers (p<0.05). Through RCS analysis exploring the nonlinear association between DF intake and COPD prevalence, the critical threshold for the impact of DF intake on COPD prevalence was 15.10 gm. When DF intake was ≥15.10 g/d, it effectively reduced the prevalence of COPD. Mediation analysis results indicated that the WBC count partially mediated the association between DF intake and COPD, with a mediation proportion of 9.89% (p=0.006).

Conclusion

Increased DF intake was linked to decreased prevalence of COPD, particularly in men and middle-aged people. WBC counts may be an important pathway linking DF intake and COPD.

Neutrophil-to-Lymphocyte Ratio and Blood Eosinophil Levels As Inflammatory Indicators in Smoker and Non-smoker Young Adult Patients With Chronic Obstructive Pulmonary Disease at a Tertiary Care Hospital

Background Inflammatory markers are elevated in chronic obstructive pulmonary disease (COPD) and can be quantified to detect severity, prognosis, mortality risk, and response to treatment. However, the estimation costs are high. The blood neutrophil-to-lymphocyte ratio (NLR) and eosinophil levels are emerging as biomarkers in COPD, yet there is a paucity of data. Aim and objectives This study was designed to elucidate the roles of the NLR and eosinophil levels in smokers and non-smokers with stable COPD male subjects, correlating them with lung functions. Materials and methods A prospective observational clinical study was conducted from January to June 2023, after receiving approval from the Institutional Ethics Committee, on 73 COPD patients aged 30-60 years who gave voluntary informed consent. Complete blood counts and spirometry were performed. Patients with a forced expiratory volume in one second (FEV1) % predicted <70% and an FEV1/forced vital capacity (FVC) % <70% based on the pulmonary function test (MIR Spirolab) were included. They were further divided into mild (n=10), moderate (n=27), severe (n=26), and very severe (n=10) categories as per the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. Subjects were also categorized into smoker (n=45) and non-smoker (n=28) groups. The complete blood count was analyzed using an automated analyzer (Beckman Coulter). Analysis was also carried out with an NLR of more or less than three. A P-value of less than 0.05 was considered significant. Results Smokers constituted 61.65% (n=45) of the subjects, and non-smokers 38.35% (n=28). Among smokers, 17.78% had very severe airflow obstruction. In all COPD subjects (n=73), lymphocytes, eosinophils, and lung functions were lower in the group where the NLR was greater than three. NLR in smokers (3.52±1.43) was higher than in non-smokers (3.39±0.94). In non-smokers (n=28), blood eosinophils and lymphocytes were elevated. In smokers (n=45), blood neutrophils, monocytes, and basophils were increased. Smokers showed a non-significant increase in RBC, mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH). Neutrophils, monocytes, eosinophils, and NLR increased with disease severity. NLR negatively correlated with FEV1 (r=-0.350, p=0.034) and positively with pack-years (r=0.546, p<0.001) in smokers. NLR negatively correlated with eosinophils, FVC, FEV1/FVC, and FEV1 % predicted. In all COPD subjects (n=73), NLR negatively correlated with blood eosinophils (r=-0.184, p=0.12), BMI, and lung functions. Conclusion NLR is elevated in COPD subjects and can serve as a marker of inflammation and a predictor of the risk and severity of airflow limitation. NLR correlates both positively and negatively with pack-years and lung functions, respectively.

Curcumin-rich curry consumption and life expectancy: Singapore longitudinal ageing study

The therapeutic potential of curcumin for many diseases are intensively investigated. However, real-world observational data documenting health and longevity effects associated with dietary curcumin in turmeric from consuming curry in food is lacking. A prospective cohort study of 4551 adults aged 55 + assessed curry consumption (never or < once/year, ≥ once/year to < once/month, ≥ once/month to < once/week, ≥ once/week to < daily, ≥ once daily), prevalent health conditions, blood biomarker indexes of atherogenicity, insulin resistance, and inflammation at baseline, and mean (SD) 11.6 (3.8) year follow up of all-cause, CVS and cancer mortality. There were linear positive associations of increasing curry consumption with waist circumference, fasting blood glucose, TyG, AIP, CRI-1, CRI-2, central obesity and diabetes prevalence, and inverse association with eGFR. There were non-linear associations with FEV1/height2 and COPD prevalence, GDS score and depression, MMSE score and cognitive impairment, comorbidity count, serum albumin and haemoglobin, being most favourable with moderate consumption. The levels of NLR, PLR and SII indices of systemic and immune inflammation decreased linearly with curry consumption. Total mortality HR adjusted for baseline co-variables, decreased across curry consumption, 0.68 (95%CI 0.56-0.82), 0.54 (95%CI 0.43-0.69), 0.70 (0.52-0.93), and 0.62 (0.41-0.95), being lowest in the middle categories. Among participants with cardio-metabolic and vascular diseases (CMVD), at least occasional curry consumption was associated with decreased mortality risk by 39%, and increased life expectancy by 1.0 years. Among those without CMVD, the associated life expectancy increase was 1.9 years. Moderate curry consumption may confer meaningful longevity benefits.

Clinical predictive value of the initial neutrophils to lymphocytes and platelets ratio for prognosis of sepsis patients in the intensive care unit: a retrospective study

Background

Neutrophils to lymphocytes and platelets (N/LP) ratio has been confirmed as an indirect marker of inflammation. In this study, we aimed to further evaluate the prognostic significance of the N/LP ratio in sepsis patients admitted to the ICU.

Methods

Sepsis patients from the Affiliated Hospital of Jiangsu University were retrospectively enrolled from January 2015 and July 2023. The primary outcomes were 30/60 days mortality. The secondary outcomes included the incidence of AKI, vasoactive drug, CRRT, invasive ventilation, length of ICU stay, length of hospital stay and ICU mortality.

Results

A total of 1,066 sepsis patients were enrolled with a median age of 75.0 (66.0, 85.0) years, and 62.5% of them being male. The 30 days and 60 days mortality rates were found to be 28.7 and 34.0%, respectively, while the incidence of AKI was 45.2%. Based on their N/LP ratios, we classified the sepsis patients into three groups: low, middle, and high, consisting of 266, 534, and 266 patients, respectively. According the Cox proportional hazard model, the middle and high N/LP groups were associated with a 1.990/3.106-fold increase in 30 days mortality risk and a 2.066/3.046-fold increase in 60 days mortality risk compared with the low N/LP group. Besides, multivariate logistic regression model suggested that the risk of AKI occurrence increased 2.460 fold in the high group compared to the low group. However, through subgroup analyses, we observed substantial variations in the association between N/LP ratios and 30/60 days mortality rates as well as the incidence of AKI among different populations. Notably, the N/LP ratio measured at ICU admission exhibited a higher AUC for predicting 30/60 days mortality (0.684/0.687). Additionally, we observed a good predictive power for the occurrence of AKI (AUC: 0.645) using the N/LP ratio measured at sepsis prognosis. Regarding the other secondary outcomes, the N/LP ratio was associated with disease severity in sepsis patients, including the need for vasoactive drugs, length of ICU stay, and ICU mortality.

Conclusion

The N/LP ratio at ICU admission was found to have a significant independent association with 30/60 days mortality and the incidence of AKI in sepsis patients.

Impact of Blood-Count-Derived Inflammatory Markers in Psoriatic Disease Progression

Psoriasis is a chronic immune-mediated disease, linked to local and systemic inflammation and predisposing patients to a higher risk of associated comorbidities. Cytokine levels are not widely available for disease progression monitoring due to high costs. Validated low-cost and reliable markers are needed for assessing disease progression and outcome. This study aims to assess the reliability of blood-count-derived inflammatory markers as disease predictors and to identify prognostic factors for disease severity. Patients fulfilling the inclusion criteria were enrolled in this study. Patients were divided into three study groups according to disease severity measured by the Body Surface Area (BSA) score: mild, moderate, and severe psoriasis. White blood cell count (WBC), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), derived neutrophil-to-lymphocyte ratio (d-NLR), systemic immune index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI) positively were correlated with disease severity (p < 0.005). d-NLR, NLR, and SII are independent prognostic factors for mild and moderate psoriasis (p < 0.05). d-NLR is the only independent prognostic factor for all three study groups. Moderate psoriasis is defined by d-NLR values between 1.49 and 2.19. NLR, PLR, d-NLR, MLR, SII, SIRI, and AISI are useful indicators of systemic inflammation and disease severity in psoriasis.

Predictive Role of White Blood Cell Differential Count for the Development of Acute Exacerbation in Korean Chronic Obstructive Pulmonary Disease

Purpose

Chronic obstructive pulmonary disease (COPD) is a respiratory disease characterized by chronic inflammation. Acute exacerbation of COPD (AECOPD) manifests as acute worsening of respiratory symptoms and is associated with high morbidity and mortality. The aim of the present study was to evaluate the predictive value of white blood count (WBC) and its derived inflammatory biomarkers for AECOPD.

Methods

From the Korean COPD Subgroup Study cohort, a prospective and multicenter observational study, 826 patients who had baseline complete blood count (CBC) and 3-year AECOPD data were included. Follow-up CBC data at 1 (n = 385), 2 (n = 294), and 3 (n = 231) years were collected for available patients. The primary outcome was the occurrence of AECOPD at 3 years. The risk of AECOPD was evaluated using a binary logistic analysis.

Results

The cumulative incidences of 12-, 24-, and 36-month AECOPD were 47.6%, 60.5%, and 67.6%, respectively. Patients with AECOPD at 3 years had higher baseline WBC counts, neutrophil counts, neutrophil/lymphocyte ratio (NLR), and neutrophil/monocyte ratio than those without AECOPD. Higher WBC count, neutrophil count, and NLR were associated with the 3-year occurrence of AECOPD in the univariate analysis, but only the higher neutrophil count was a significant risk factor (odds ratio [OR] = 1.468; 95% confidence interval [CI]: 1.024-2.104) in the covariates-adjusted analysis. In the analysis of changes in inflammatory parameters, a decrease in the platelet count (OR = 0.502; 95% CI: 0.280-0.902) and NLR (OR = 0.535; 95% CI: 0.294-0.974) at 2 years and an increase in the eosinophil count (OR = 2.130; 95% CI: 1.027-4.416) at 3 years were significantly associated with AECOPD in the adjusted analysis.

Conclusion

Our data suggest that a high baseline WBC count, particularly neutrophil count, was associated with a higher incidence of long-term AECOPD.

Neutrophil to lymphocyte ratio in pediatric patients with asthmatic exacerbation and community-acquired pneumonia

BACKGROUND

Compared with a lower neutrophil to lymphocyte ratio(NLR), a higher one denotes severe asthma exacerbation in hospitalized asthmatic children. In addition, NLR is significantly higher in pediatric patients with community-acquired pneumonia (CAP) than those without. Nevertheless, its role in pediatric patients with concomitant asthmatic exacerbation and CAP remains unknown.

METHODS

In this retrospective study including 1032 pediatric patients aged 5 to 14 years old, the diagnostic and prognostic value of NLR in children with concomitant asthmatic exacerbation and non-severe CAP were investigated.

RESULTS

The sensitivity and specificity of NLR for a diagnosis of CAP in patients with asthmatic exacerbation were 56.9% and 90.1%, respectively. The cutoff value of NLR for a diagnosis of CAP in patients with asthmatic exacerbation was 4.15 (P < 0.001). The cumulative asthmatic exacerbation during 3-month followup of patients with high NLR were 23 (21.3%) and 58 (42.0%) in the asthma and asthmatic CAP groups, respectively (P < 0.001). The patients with high NLR who had unimproved CAP were 15 (8.3%) and 23 (12.2%) in the CAP and asthmatic CAP groups, respectively (P = 0.006). Multivariate analyses showed that along with the increase of NLR by 1.0 point, the HR for the occurrence of asthmatic exacerbation and unimproved CAP were 2.91 [1.83-3.96] (P = 0.001) and 3.38 [1.66-5.10] (P < 0.001), respectively.

CONCLUSIONS

NLR had high and moderate diagnostic value for the exclusion and indication of CAP, respectively, in pediatric patients with asthmatic exacerbation. It also had prognostic value for the outcomes of pediatric patients with concomitant asthmatic exacerbation and CAP.

Association between the neutrophil-to-lymphocyte ratio and psoriasis: a cross-sectional study of the National Health and Nutrition Examination Survey 2011-2014

OBJECTIVES

To investigate the association between the neutrophil-to-lymphocyte ratio (NLR) and psoriasis.

DESIGN

Cross-sectional study.

SETTING

National Health and Nutrition Examination Survey 2011-2014.

PARTICIPANTS

A subsample of 8387 individuals aged 18 years and older were screened for inclusion, of whom 238 reported a diagnosis of psoriasis.

PRIMARY AND SECONDARY OUTCOME MEASURES

Psoriasis and the severity of psoriasis were defined according to participants' self-reports. Weighted logistic regression, subgroup and restricted cubic spline (RCS) analyses were conducted to estimate the potential relationship of the NLR with psoriasis.

RESULTS

In the fully adjusted models, the fourth quartile of the NLR was significantly and positively associated with the presence of psoriasis using the first quartile as a reference (OR: 2.22, 95% CI: 1.27 to 3.87, p=0.01). Elevated NLR was associated with an increased odds of having more severe psoriasis for the highest quartile (vs the lowest quartile), with an OR of 2.43 (95% CI: 1.10 to 5.36, p=0.003). The association between the NLR and psoriasis differed across prespecified subgroups by age, sex, race, income and education. A non-linear correlation of the NLR with psoriasis was observed using univariable and multivariable RCS (all p for non-linearity <0.05).

CONCLUSIONS

The NLR was non-linearly and positively correlated with the presence of psoriasis, and our findings suggest a significant association between the NLR and the severity of psoriasis. The potential role and value in the clinical diagnosis and prognostic assessment of the NLR in psoriasis calls for further longitudinal studies.

Clinical markers predict the efficacy of several immune checkpoint inhibitors in patients with non-small cell lung cancer in China

Objectives

Immune checkpoint inhibitors (ICIs) are one of the most significant oncological treatment modalities as a result of the rapid advancement of immunotherapy. Programmed Cell Death-Ligand 1 (PD-L1) and tumor mutational burden (TMB) have emerged as key markers for predicting the efficacy and prognosis of ICIs in non-small cell lung cancer (NSCLC), and the predictive role of tumor-infiltrating lymphocytes (TILs) has also received significant attention. However, the prognosis of some individuals cannot be determined by these indicators; for instance, some patients with low PD-L1 expression also benefit from longer survival. Therefore, the purpose of this research was to investigate the connection between new haematological and pathological markers and clinical outcomes in NSCLC patients receiving ICIs.

Methods

Seventy-six patients with stage III-IV NSCLC treated with ICIs were included in this study. We used the Mann-Whitney test, COX regression and Kaplan-Meier analysis to retrospectively analyze peripheral blood indicators and survival prognostic data of 76 patients in order to investigate the relationship between baseline neutrophil-to-lymphocyte ratio (NLR) and the efficacy of ICIs. To investigate the correlation between CXCL13, CXCR5, CD8 and the efficacy of ICIs, we assessed the expression levels of aforementioned indicators in biopsied tissues of 10 non-small cell lung tumors by immunohistochemistry (IHC) and immunofluorescence (IF) and performed statistical analysis.

Results

Disease control rate (DCR) was higher in patients with baseline NLR <3.4 (p=0.016) and neutrophil percentage <71% (P=0.015). Baseline NLR (HR=2.364, P=0.003) and neutrophil percentage (HR=2.824, P=0.013) had the greatest influence on patients' survival prognosis, with baseline NLR exhibiting a stronger predictive value (AUC=0.717), according to univariate and multifactorial COX regression analyses of progression-free survival (PFS) and overall survival (OS). In NSCLC tissues, higher expression of CXCL13 was associated with better clinical outcomes (P=0.032) and higher expression of CD8 was associated with prolonged survival (P=0.022).

Conclusion

Low baseline NLR in peripheral blood and high expression of CD8 in tissues are associated with longer PFS and may have a potential predictive value for patients with stage III-IV NSCLC using ICIs.

Using complete blood count, serum immunoglobulins G/A/M and complement C3/C4 levels to predict the risk of COPD acute exacerbation: 2-year follow-up in a single-center prospective cohort study

Autoimmunity is present in patients with stable chronic obstructive pulmonary disease (COPD), playing a role in indirect and direct ways. We aimed to explore whether autoimmunity could play a role in COPD exacerbations and construct autoimmunity-related prediction models. This prospective, longitudinal, observational cohort study enrolled 155 patients with acute COPD exacerbations (AECOPD) followed for at least two years. The laboratory parameters, including complete blood count, serum immunoglobulins G/A/M and complement C3/C4 levels, were collected at enrollment. We studied the demographic characteristics, clinical characteristics and laboratory parameters to identify independent risk factors and build predictive models. The results showed that lower lymphocyte count was associated with noninvasive ventilation (NIV) in patients with AECOPD (the odds ratio [OR] 0.25, the 95% confidence interval [CI]: 0.08-0.81, P = 0.02). Lymphocyte count performed well with an area under the curves (AUC) of 0.75 (P < 0.0001, sensitivity: 78.1%, specificity: 62.3%, cutoff value [Cov] ≤ 1.1). The C index, calibration plot, decision curve analysis (DCA) and bootstrap repetitions indicated that this clinical prediction model based on lymphocyte count for NIV in patients with AECOPD performed well. Having prior home oxygen therapy (OR: 2.82, 95% CI: 1.25-6.36, P = 0.013) and higher COPD Assessment Test (CAT) scores (OR: 1.14, 95% CI: 1.03-1.25, P = 0.011) were associated with the increased risk for respiratory failure. For predicting respiratory failure, CAT scores and home oxygen therapy combined had an AUC-ROC of 0.73 (P < 0.0001). This clinical prediction model based on lymphocyte count may help to assist in treatment decisions for NIV in patients with AECOPD. Lower complement C3 seems to be associated with worse outcomes in patients with AECOPD.

NLR in CBC: A holy grail for biomarker research in COPD?

See related article

Inflammation and comorbidities of chronic obstructive pulmonary disease: The cytokines put on a mask!

OBJECTIVE

Chronic obstructive pulmonary disease (COPD) is a well-known complex multicomponent disease characterized by systemic inflammation that frequently coexists with other conditions. We investigated the relationship between some inflammatory markers and complications in COPD patients to explore the possible roles of inflammation in these comorbidities.

METHODS

This study used cross-sectional and case-control methods. We included 336 hospitalized COPD patients, 64 healthy controls, and 42 major depression patients and evaluated all participants using the Hamilton Rating Scale. C-reactive protein (CRP), red blood cell distribution width (RDW), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), interleukin-1β (IL-1β) and interleukin-6 (IL-6) were collected and measured in the study population. Statistical methods were used to analyze the association of inflammatory markers with COPD comorbidities.

RESULTS

Cor pulmonale and psychological comorbidities (depression and anxiety) were more common in this study on COPD patients. We found that MLR (OR = 2.054, 95 % CI 1.129-3.735, p = 0.018) and RDW (OR = 1.367, 95 % CI 1.178-1.586, p = 0.000) were related to COPD patients complicated with cor pulmonale, while IL-6 (OR = 1.026, 95 % CI 1.001-1.053, p = 0.045) and RDW (OR = 1.280, 95 % CI 1.055-1.552, p = 0.012) were related to depression symptoms.

CONCLUSION

MLR, RDW and IL-6 were closely related to cor pulmonale and depression in COPD patients. IL-1 β and IL-6 are closely related to depression in humans.

Advances in the investigation of the role of autophagy in the etiology of chronic obstructive pulmonary disease: A review

Chronic obstructive pulmonary disease (COPD) is a common chronic respiratory illness. It arises from emphysema and chronic bronchitis and is characterized by progressive and irreversible airflow limitation and chronic inflammation of the lungs, which eventually progresses to pulmonary hypertension, chronic pulmonary heart disease and respiratory failure. Autophagy is a highly conserved cellular homeostasis maintenance mechanism that involves the transport of damaged organelles and proteins to lysosomes for destruction. Dysregulation of autophagy is one of the pathogenic mechanisms of many diseases and is strongly associated with the development of COPD, although the precise mechanisms are unknown. In this paper, we focus on macroautophagy, a type of autophagy that has been thoroughly studied, and describe the characteristics, processes, regulatory pathways, and functions of autophagy, and discuss its relationship with COPD from the perspectives of inflammation, emphysema, mucus hypersecretion, cilia structure and function, airway remodeling, vascular remodeling, and bacterial infections, with a view to searching for the therapeutic targets of COPD from the perspective of autophagy, which is hoped to be helpful for the clinical treatment.

Optimizing inhaled corticosteroid use in patients with chronic obstructive pulmonary disease: assessing blood eosinophils, neutrophil-to-lymphocyte ratio, and mortality outcomes in US adults

Objective

Accurate biomarkers for evaluating mortality rates in patients with chronic obstructive pulmonary disease (COPD) remain scarce. This study aimed to explore the relationships between mortality rates in patients with COPD and blood eosinophil counts, neutrophil counts, and lymphocyte counts, along with the neutrophil-to-lymphocyte ratio (NLR). Additionally, we sought to identify the optimal response values for these biomarkers when utilizing inhaled corticosteroids (ICS).

Methods

Utilizing a nationally representative, multistage cross-sectional design and mortality correlation study, we analyzed data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 involving US adults aged 40 years or older with COPD. The primary endpoint was all-cause mortality, with Kaplan-Meier survival curves and restricted cubic splines applied to illustrate the relationship between leukocyte-based inflammatory markers and mortality. The analysis was conducted in 2023.

Results

Our analysis included 1,715 COPD participants, representing 6,976,232 non-institutionalized US residents [weighted mean age (SE), 62.09 (0.28) years; range, 40-85 years]. Among the participants, men constituted 50.8% of the population, and the weighted mean follow-up duration was 84.9 months. In the ICS use group, the weighted proportion of participants over 70 years old was significantly higher compared with the non-ICS use group (31.39% vs 25.52%, p < 0.0001). The adjusted hazard ratios for all-cause mortality related to neutrophil counts, lymphocyte counts, and NLR were 1.10 [95% confidence interval (CI), 1.04-1.16, p < 0.001], 0.83 (95% CI, 0.71-0.98; p = 0.03), and 1.10 (95% CI, 1.05-1.15; p < 0.0001), respectively. Optimal ICS response was linked with higher levels of eosinophil count (≥240 cells/μL), neutrophil count (≥3,800 cells/μL), NLR (≥4.79), and lower levels of lymphocyte count (<2,400 cells/μL).

Conclusion

Adjusted baseline neutrophil, lymphocyte counts, and NLR serve as independent risk factors for all-cause mortality in patients with COPD. Further, ICS application appears to mitigate mortality risk, particularly when NLR levels reach 4.79 or higher, underlining the importance of ICS in COPD management.

Ultra-processed food consumption, mediating biomarkers, and risk of chronic obstructive pulmonary disease: a prospective cohort study in the UK Biobank

Background: Ultra-processed food (UPF) is a popular supplement in the UK and other developed countries. However, whether and how UPF intake is associated with chronic obstructive pulmonary disease (COPD) remains unclear. Objective: We aimed to examine the association between UPF consumption and COPD incidence and explore the potential mediating effects of COPD-related biomarkers. Methods: This prospective cohort study included 207 002 participants without COPD at recruitment and completed 24-hour dietary recalls. UPF was defined according to the NOVA classification system. Incident COPD was ascertained using electronic hospital and mortality records. Cox regression models were used to estimate UPF consumption and the subsequent risk of COPD. Substitution analysis was performed to assess the risk of COPD by substituting UPF with an equivalent proportion of unprocessed or minimally processed food (UNPF). Mediation analyses were performed to evaluate the contribution of biomarkers related to the lipid profile, glucose metabolism, and systemic inflammation to the observed associations. Results: During a median follow-up of 13.1 (interquartile range: 12.5-13.9) years, 4670 COPD events were recorded. The adjusted hazard ratio (HR) of COPD in the highest quintile versus the lowest quintile of the UPF consumption proportion (weight percentage of the UPF) was 1.22 (95% confidence interval [CI]: 1.11-1.34). There was a 10% elevated risk of COPD incidence per SD increase in UPF intake (HR: 1.10; 95% CI: 1.08-1.13). Replacing 20% of the UNPF weight with the UPF was associated with a 13% decrease in COPD risk (95% CI: 0.84-0.91). In mediation analyses, biomarkers explained 1.0-10.1% of the association between UPF intake and COPD. Results from stratified and sensitivity analyses further support the robustness of these findings. Conclusions: Elevated UPF consumption was associated with a higher risk of COPD, and this association was primarily mediated by glucose, inflammation, and lipids, whereas substituting UNPF for UPF was associated with a decreased risk of COPD.

Monocyte-related hematological indices in acute exacerbations of chronic obstructive pulmonary disease - a new biomarker?

C-reactive protein (CRP) and leukocyte count are standard tools for recognizing inflammation in chronic obstructive pulmonary disease (COPD) patients. This study aimed to find out whether there is a pattern in monocyte-related hematological indices [monocyte to neutrophil ratio (MNR) and monocyte to lymphocyte ratio (MLR)], which could help differentiate COPD patients in need of hospitalization due to acute exacerbation of COPD and distinguish frequent COPD exacerbators from non-frequent COPD exacerbators. The study included 119 COPD patients and 35 control subjects, recruited at the Clinic for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, Croatia. A complete blood count was performed on Sysmex XN-1000, CRP on Cobas c501, and fibrinogen on the BCS XP analyzer. Data were analyzed with MedCalc statistical software. The COPD patients were divided into three groups: frequent exacerbators (FE), non-frequent exacerbators (NFE), and patients hospitalized for acute COPD exacerbations (HAE), and the control group consisted of healthy smokers (HS). A statistically significant difference was found in the values of MNR while comparing these groups of patients: FE vs. HAE (p<0.000), NFE vs. HAE (p<0.000), and HS vs. HAE (p<0.001); and for the values of MLR: FE vs. HAE (p<0.022), NFE vs. HAE (p<0.000), and HS vs. HAE (p<0.000). As MLR and MNR have shown the statistical difference comparing the group of HAE to NFE, FE, and HS, MLR and MNR could be valuable and available markers of acute COPD exacerbations and the need for hospitalization.

Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) to predict postoperative pneumonia in elderly hip fracture patients

PURPOSE

Investigate the association between the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) about the presence of postoperative pneumonia (POP) in geriatric patients with hip fractures. Compare the predictive value of these biomarkers for POP and assess their potential for early detection of POP.

METHODS

We retrospectively included elderly patients with hip fractures who underwent surgical treatment at our institution. POP was diagnosed according to the guidelines provided by the American Thoracic Society. We collected neutrophil, lymphocyte, and platelet counts upon admission to calculate the NLR, PLR, and SII. Receiver operating characteristic curves were utilized to establish the optimal cutoff values for each index. Multivariate logistic regression analysis and propensity score matching analysis were utilized to assess the independent association between each index and POP after adjusting for demographic, comorbidity, and surgery-related variables.

RESULTS

The study included a total of 1199 patients, among whom 111 cases (9.26%) developed POP. NLR exhibited the highest predictive value for POP in elderly patients with hip fractures compared to PLR and SII (AUC = 0.648, 95% CI 0.594-0.701). A high NLR, using the optimal cutoff value of 5.84, was significantly associated with an increased incidence of POP (OR = 2.24, 95% CI 1.43-3.51). This finding remained statistically significant even after propensity score matching (OR = 2.04, 95% CI 1.31-3.20).

CONCLUSIONS

Among the three inflammatory/immune markers considered, the NLR demonstrates the highest reliability as a predictor for POP in elderly patients with hip fractures. Therefore, it serves as a valuable tool for early identification.

Association of Blood Inflammatory Biomarkers with Clinical Outcomes in Patients with AECOPD: An 8-Year Retrospective Study in Beijing

Purpose

To discover potential inflammatory biomarkers, which can compare favorably with traditional biomarkers, and their best cut-offs at first admission to predict clinical outcomes (short-term and long-term) and the risk of readmission among acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients.

Patients and Methods

Novel inflammatory biomarkers (such as the neutrophil-lymphocyte ratio [NLR], platelet-lymphocyte ratio [PLR], etc.) were compared with traditional biomarkers by Pearson's correlation test. Logistic regression analysis and receiver operating characteristic (ROC) curves were applied to judge the accuracy of these novel biomarkers to predict in-hospital mortality.

Results

Surviving AECOPD patients had lower NLR, PLR, and lymphocyte-to-monocyte ratios than non-survival patients (all P < 0.001). According to Pearson's correlation test, there was a linear correlation between novel and traditional biomarkers (all P < 0.05). In terms of a single biomarker, the AUC value of NLR was the largest, which was not inferior to C-reactive protein (Z-P = 0.064), and superior to erythrocyte sedimentation rate (Z-P = 0.002) and other novel single inflammatory biomarkers (all Z-P < 0.05). The mortality of patients with NLR ≥ 4.43 was 2.308-fold higher than that of patients with NLR < 4.43. After dividing patients into a higher or lower NLR group, pooled results showed that patients with NLR ≥ 4.43 had a higher rate of treatment failure, intensive care unit admission, longer hospital length of stay, one-year mortality after the index hospitalization, and overall mortality than patients with NLR < 4.43 (all P < 0.001). Patients with NLR ≥ 4.43 were associated with higher and earlier first readmission due to AECOPD than patients with lower NLR.

Conclusion

NLR was the best to forecast the clinical prognosis and readmission risk among AECOPD patients, which was not inferior to CRP, and the best cut-off value of NLR was 4.43.

Decoding the Chronic Obstructive Pulmonary Disease (COPD) Puzzle: Investigating the Significance of Exacerbation Scores in Triage Decision-Making

Chronic obstructive pulmonary disease (COPD) is a complex disease pathology of the lungs that has a significant impact on global health. It has been a major contributor to global mortality and morbidity, with COPD exacerbations posing a substantial economic burden on the healthcare systems. Appropriate triaging of patients with COPD exacerbation is crucial to reduce the burden of hospitalization, especially in the intensive care unit (ICU). Understanding the significance of exacerbation scores in triage decision-making is essential for improving outcomes and optimizing patient care. To aid this triage decision-making, several scoring systems have been developed. This review article aims to discuss the different scores, including assessment of Confusion, Urea, Respiratory rate, Blood pressure, and Age (≥65 years) (CURB-65); Dyspnoea, Eosinopenia, Consolidation, Acidaemia and atrial Fibrillation (DECAF), Neutrophil to lymphocyte ratio (NLR); Platelet-lymphocyte ratio (PLR); Pneumonia severity index/Pneumonia Patient Outcomes Research Team (PSI/PORT); and elevated BUN, Altered mental status, Pulse, Age (>65 years) (BAP-65), and their role in triaging COPD exacerbations. Proper triaging allows for the appropriate allocation of resources and timely interventions based on severity. Further research and validation are needed to establish the optimal use and integration of these scores in clinical practice, particularly in ICU settings.

Assessing Humoral Immuno-Inflammatory Pathways Associated with Respiratory Failure in COVID-19 Patients

All severe cases of SARS-CoV-2 infections are characterized by a high risk of disease progression towards ARDS, leading to a bad outcome. Respiratory symptoms in COVID-19 patients often do not correspond to disease's worsening. In our sample, median age was 74 years (72-75) and 54% were men. The median period of hospitalization was 9 days. Firstly, we observed a significant asynchronous trend of neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) in 764 selected among 963 patients, who were consecutively recruited in two hospitals (Cannizzaro, S. Marco) in Catania, Italy. NLR values in deceased patients showed an increase from baseline over time. By contrast, CRP tended to fall from baseline to median day of hospitalization in all three subgroups, but steeply increased at the end of hospitalization only in ICU-admitted patients. Then, we evaluated the relationships between NLR and CRP as continuous variables with PaO₂/FiO₂ ratio (P/F). NLR was an independent predictor of mortality (HR: 1.77, p < 0.0001), while ICU admission was more significantly associated with CRP (HR: 1.70, p < 0.0001). Finally, age, neutrophils, CRP, and lymphocytes are significantly and directly linked to P/F, while the influence of inflammation on P/F, reflected by CRP, was also mediated by neutrophils.

The Association between Neutrophil-to-Lymphocyte Ratio and Glycemic Control in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis

Background

Glycated hemoglobin (HbA1c) is a commonly used clinical marker to monitor the control of type 2 diabetes mellitus patients (T2DM). However, it is unable to identify the ongoing inflammatory changes in the body. These factors could be easily identified and monitored by the neutrophil-to-lymphocyte ratio (NLR). Therefore, this study is aimed at investigating the relationship between NLR and glycemic control in T2DM.

Method

A comprehensive search of eligible studies was performed in various databases published until July 2021. A random effect model was used to estimate the standardized mean difference (SMD). A metaregression, subgroup, and sensitivity analysis were conducted to search for potential sources of heterogeneity.

Result

A total of 13 studies were included in this study. Accordingly, the SMD of the NLR values between the poor and good glycemic control groups was 0.79 (95% CI, 0.46-1.12). Our study also showed that high NLR was significantly associated with poor glycemic control in T2DM patients (OR = 1.50, 95% CI: 1.30-1.93).

Conclusion

The results of this study suggest an association between high NLR values and an elevated HbA1C in T2DM patients. Therefore, NLR should be considered a marker of glycemic control in addition to HbA1c in T2DM patients.

Evaluation of chronic cigarette smoke exposure in human bronchial epithelial cultures

Cigarette smoke (CS) exposure induces both cytotoxicity and inflammation, and often causes COPD, a growing cause of morbidity and mortality. CS also inhibits the CFTR Cl- channel, leading to airway surface liquid dehydration, which is predicated to impair clearance of inhaled pathogens and toxicants. Numerous in vitro studies have been performed that utilize acute (≤24 h) CS exposures. However, CS exposure is typically chronic. We evaluated the feasibility of using British-American Tobacco (BAT)-designed CS exposure chambers for chronically exposing human bronchial epithelial cultures (HBECs) to CS. HBECs are polarized and contain mucosal and serosal sides. In vivo, inhaled CS interacts with mucosal membranes, and BAT chambers are designed to direct CS to HBEC mucosal surfaces while keeping CS away from serosal surfaces via a perfusion system. We found that serosal perfusion was absolutely required to maintain HBEC viability over time following chronic CS exposure. Indeed, with this system, we found that CS increased inflammation and mucin levels, while decreasing CFTR function. Without this serosal perfusion, CS was extremely toxic within 24 h. We therefore propose that 5- and 10-day CS exposures with serosal perfusion are suitable for measuring chronic CS exposure and can be used for monitoring new and emerging tobacco products.

Associated Factors of Pneumonia in Individuals with Chronic Obstructive Pulmonary Disease (COPD) Apart from the Use of Inhaled Corticosteroids

Inhaled corticosteroids (ICSs) are widely used in chronic obstructive pulmonary disease (COPD) and in combination with long-acting β2 agonists (LABAs) to reduce exacerbations and improve patient lung function and quality of life. However, ICSs have been associated with an increased risk of pneumonia in individuals with COPD, although the magnitude of this risk remains unclear. Therefore, it is difficult to make informed clinical decisions that balance the benefits and adverse effects of ICSs in people with COPD. There may be other causes of pneumonia in patients with COPD, and these causes are not always considered in studies on the risks of using ICSs in COPD. We consider it very useful to clarify these aspects in assessing the influence of ICSs on the incidence of pneumonia and their role in the treatment of COPD. This issue has important implications for current practice and the evaluation and management of COPD, since COPD patients may benefit from specific ICS-based treatment strategies. Many of the potential causes of pneumonia in patients with COPD can act synergistically, so they can be included in more than one section.

Association Between Neutrophil-Lymphocyte Ratio and All-Cause Mortality in Critically Ill Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study

BACKGROUND Neutrophil-lymphocyte ratio (NLR) is related to increased mortality risk in many diseases. However, there is limited research on critically ill patients with chronic obstructive pulmonary disease (COPD). A retrospective cohort study was performed to investigate whether NLR can be used as a biomarker to predict the mortality of critically ill COPD patients. MATERIAL AND METHODS In the research, the data were gathered from the database of the Medical Information Mart for Intensive Care-IV. The 28-day mortality was defined as the primary outcome, while the secondary outcomes were in-hospital and 90-day mortality. Through the application of the Kaplan-Meier curves and the multivariate Cox regression analysis, the potential association between NLR and mortality for critically ill patients with COPD was evaluated. For subgroup analysis, age, sex, ethnicity, mean blood pressure, and comorbidities were considered. RESULTS We extracted data on 2650 patients, of which 53.7% were male. A higher level of NLR was correlated with higher 28-day mortality risk. Compared to the lower quartile (NLR<4.56), HR (95% CI) of the upper quartile (NLR>16.86) was 1.75 (1.21-2.52) in the multivariate Cox regression model when adjusted for confounders (P=0.003). A similar tendency was found in the 90-day mortality (HR=1.59, 95% CI=1.16-2.19, P=0.004) and the in-hospital mortality (HR=1.71, 95% CI=1.22-2.42, P=0.002). Subgroup analyses showed that the correlation between NLR and 28-day mortality was stable. CONCLUSIONS The higher level of NLR is likely to be correlated with the increase of the all-cause mortality risk in critically ill patients with COPD, but this needs to be validated in future prospective research.

Logistic Regression Analysis of Clinical Characteristics for Differentiation of Chronic Obstructive Pulmonary Disease Severity

Background

This study aimed to investigate the predictive value of general clinical data, blood test indexes, and ventilation function test indexes on the severity of chronic obstructive pulmonary disease (COPD).

Methods

A total of 141 clinical characteristics of COPD patients admitted to our hospital were collected. A mild-to-moderate group and a severe group were classified depending on the severity of COPD, and their baseline data were compared. The predictive factors of severe COPD were analyzed by univariate and multivariate logistic regression, and the nomogram model of severe COPD was constructed. The clinical variables, including gender, height, weight, body mass index (BMI), age, course, diabetes, hypertension, smoking history, WBC, NEUT, lymphocyte count (LY), MONO, eosinophil count (EOS), PLT, mean platelet volume (MPV), platelet distribution width (PDW), partial pressure of oxygen (PaO₂), and PaCO₂, were collected.

Results

There were 67 mild-to-moderate COPD patients and 74 severe COPD patients in this study cohort. Severe COPD had a higher white blood cell count (WBC), neutrophil count (NEUT), monocyte count (MONO), platelet count (PLT), neutrophil to lymphocyte ratio (NLR), and a lower partial pressure of carbon dioxide (PaCO₂). Univariate logistic regression analysis showed that WBC, NEUT, MONO, PLT, and NLR were contributing factors of severe COPD, while PaCO₂ was an unfavorable factor of severe COPD. Enter, forward, backward, and stepwise multivariate logistic regression analyses all showed that NEUT and PLT were independent contributing factors to severe COPD. Moreover, the nomogram model had good predictive ability, with an area under the curve (AUC) of the receiver operating characteristic (ROC) curve being 0.881. Good calibration and clinical utility were validated through the calibration plot and the decision curve analysis (DCA) plot, respectively.

Conclusion

The severity of COPD was correlated with NEUT and PLT, and the nomogram model based on these factors had good predictive performance.