Evaluation of Blood Markers at Admission for Predicting Community Acquired Pneumonia in Chronic Obstructive Pulmonary Disease

Oxidative stress in the brain-lung crosstalk: cellular and molecular perspectives

Oxidative stress is caused by an imbalance between the production of reactive oxygen species (ROS) and the body's ability to counteract their harmful effects, playing a key role in the pathogenesis of brain and lung-related diseases. This review comprehensively examines the intricate mechanisms by which oxidative stress influences cellular and molecular pathways, contributing to neurodegenerative, cardiovascular, and respiratory disorders. Emphasizing the detrimental effects on both brain and lung health, we discuss innovative diagnostic biomarkers, such as 8-hydroxy-2'-deoxyguanosine (8-OHdG), and the potential of antioxidant therapies. For these topics, we provide insights into future research directions in the field of oxidative stress treatment, including the development of personalized treatment approaches, the discovery and validation of novel biomarkers, and the development of new drug delivery systems. This review not only provides a new perspective on understanding the role of oxidative stress in brain and lung-related diseases but also offers new insights for future clinical treatments.

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.

Risk factors for hyponatremia in acute exacerbation chronic obstructive pulmonary disease (AECOPD): a multicenter cross-sectional study

BACKGROUND

Hyponatremia is an independent predictor of poor prognosis, including increased mortality and readmission, in COPD patients. Identifying modifiable etiologies of hyponatremia may help reduce adverse events in patients with AECOPD. Therefore, the aim of this study was to explore the risk factors and underlying etiologies of hyponatremia in AECOPD patients.

METHODS

A total of 586 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 323 had normonatremia, and 90 had hyponatremia. Demographics, underlying diseases, comorbidities, symptoms, and laboratory data were collected. The least absolute shrinkage and selection operator (LASSO) regression was used to select potential risk factors, which were substituted into binary logistic regression to identify independent risk factors. Nomogram was built to visualize and validate binary logistics regression model.

RESULTS

Nine potential hyponatremia-associated variables were selected by LASSO regression. Subsequently, a binary logistic regression model identified that smoking status, rate of community-acquired pneumonia (CAP), anion gap (AG), erythrocyte sedimentation rate (ESR), and serum magnesium (Mg²⁺) were independent variables of hyponatremia in AECOPD patients. The AUC of ROC curve of nomogram was 0.756. The DCA curve revealed that the nomogram could yielded more clinical benefits if the threshold was between 10% and 52%.

CONCLUSIONS

Collectively, our results showed that smoking status, CAP, AG, ESR, and serum Mg²⁺ were independently associated with hyponatremia in AECOPD patients. Then, these findings indicate that pneumonia, metabolic acidosis, and hypomagnesemia were the underlying etiologies of hyponatremia in AECOPD patients. However, their internal connections need further exploration.

Clinical features and three-year prognosis of AECOPD patients with different levels of blood eosinophils

BACKGROUND

Eosinophils are thought to be associated with the frequency and severity of acute exacerbations of chronic obstructive pulmonary disease (AECOPD); however, the role of eosinophilic inflammation in AECOPD is still incompletely understood.

OBJECTIVES

To investigate the relationship between different levels of blood eosinophils and clinical features, including comorbidities, therapy, and prognosis, and to further explore the optimal eosinophilic cutoff.

METHODS

We retrospectively collected and analyzed medical data, laboratory findings, chest CT images, treatment, and three-year follow-up data from 984 AECOPD patients with different blood eosinophil (EOS) levels: EOS%<2%, ≥2%; EOS%<3%, ≥3%; eosinophil counts<100 cells/L, ≥100 cells/L.

RESULTS

The prevalence of eosinophilia was 36.48% of EOS≥2% (359 cases), 22.87% of EOS≥3% (225 cases), and 48.48% with eosinophil counts≥100 cells/µl (477 cases). EOS was associated with comorbidities, including pulmonary heart disease, arrhythmia (atrial fibrillation), laboratory testing and clinical treatment, including respiratory failure, airway limitation, infectious inflammation, rate of antibiotic use, systemic glucocorticoids, and three mortality rates. The ROC curve showed that the indicators of AUC≥0.5 included chest CT imaging (emphysema 1.8% or ≥100/µl, bronchitis, 1.7% or ≥100/µl), osteoporosis (2.4% or ≥140/µl), mental illness 6.1% (or ≥400/µl), dust exposure (2.2% or ≥240/µl) and ex-smoker (1.3% or ≥100/µl).

CONCLUSIONS

The relatively higher EOS group (≥2% or ≥100/µl) was associated with fewer complications, mild airflow limitation, a tendency of noninfectious inflammation, and lower 3-year mortality. Eosinophils can not only guide clinical treatment but also be an indicator of predicting clinical outcome and prognosis in AECOPD patients.

Efficacy of Xiyanping in the Treatment of Elderly Patients with Chronic Obstructive Pulmonary Disease and Its Effect on the Expression of GDF-15 and HIF-1α in Serum

Background

COPD is a chronic respiratory disease with a long course and recurrent characteristics. According to relevant statistics, the global incidence of COPD is more than 30%, which seriously affects the life of patients and endangers their health.

Objective

To observe the curative effect of Xiyanping in elderly patients with COPD and its influence on the expressions of growth differentiation GDF-15 and HIF-1α in serum.

Methods

From August 2019 to December 2021, 86 elderly patients with acute exacerbation of COPD were admitted to our hospital. As the research objects, they were divided into the control group (n = 43) and the observation group (n = 43) randomly. The control group received the conventional treatment, while the observation group got Xiyanping on the basis of the control group. The differences in the duration of antibiotic use, expectoration, hospital stays, adverse reactions and serum-related factors, blood routine, pulmonary function, airway hyperreactivity index, COPD assessment test (CAT) score, and Borg score were made a comparison between them.

Results

On the 3rd and 7th days after being treated, the sputum excretion in them was higher than before, but on the 3rd day of treatment, the sputum excretion in the observation group was higher than that in the control group, while on the 7th day of treatment, the sputum excretion was lower than that in the control group with statistically significant differences (P < 0.05). Before treatment, the serum-related factors and blood routine indexes between them were similar (P > 0.05). After treatment, GDF-15, HIF-1α, CXCL12, TNF-α, IL-8, TGF-β, WBC, and NEU in them were significantly lower than before, and the values in the observation group were significantly lower than those in the control group with statistically significant differences (P < 0.05). There was no difference in the related indexes of pulmonary function and airway hyperreactivity between them before treatment. After being treated, FEV1, FVC, and FEV1/FVC in them were significantly higher than those before treatment. The airway resistance and lung compliance of the two groups at exhalation and inspiration were significantly lower than before, and the values in the observation group were significantly lower than those in the control group (P < 0.05). There was no difference in CAT and Borg scores between them before treatment. After treatment, the CAT score and Borg score of these patients were significantly lower than those before treatment, and the value of the observation group was significantly lower than that of the control group (P < 0.05). The duration of antibiotic use and length of stay in the observation group were significantly shorter than those of the control group, while the incidence of adverse reactions was not statistically significantly different compared with the control group (P > 0.05).

Conclusion

Xiyanping can improve pulmonary function of elderly patients with acute exacerbation of COPD, reduce the response of airway hyperreactivity, and promote the excretion of sputum.

Comparison of CRP, Procalcitonin, Neutrophil Counts, Eosinophil Counts, sTREM-1, and OPN between Pneumonic and Nonpneumonic Exacerbations in COPD Patients

Introduction

The patients with community-acquired pneumonia (CAP) and acute exacerbations of COPD (AECOPD) could have a higher risk of acute and severe respiratory illness than those without CAP in AECOPD. Consequently, early identification of pneumonia in AECOPD is quite important. Methods. 52 subjects with AECOPD + CAP and 93 subjects with AECOPD from two clinical centers were enrolled in this prospective observational study. The values of osteopontin (OPN), soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), C-reactive protein (CRP), procalcitonin (PCT), eosinophil (EOS) counts, and neutrophil (Neu) counts in blood on the first day of admission and clinical symptoms were compared in AECOPD and AECOPD + CAP. In addition, subgroup analyses of biomarker difference were conducted based on the current use of inhaled glucocorticoids (ICS) or systemic corticosteroids (SCS).

Results

Patients with AECOPD + CAP had increased sputum volume, sputum purulence, diabetes mellitus, and longer hospital stays than AECOPD patients (p < 0.05). A clinical logistic regression model showed among the common clinical symptoms, purulent sputum can independently predict pneumonia in AECOPD patients after adjusting for a history of diabetes. At day 1, AECOPD + CAP patients had higher values of Neu, CRP, PCT, and OPN, while serum sTREM-1 levels and EOS counts were similar in the two groups. CRP fared best at predicting AECOPD with CAP (p < 0.05 for the test of difference), while OPN had similar accuracy with Neu, PCT, and purulent sputum (p > 0.05 for the test of difference). Multivariate analysis, including clinical symptoms and biomarkers, suggested that CRP ≥15.8 mg/dL at day 1 was a only promising predictor of pneumonia in AECOPD. CRP and OPN were not affected by ICS or SCS.

Conclusions

CRP ≥15.8 mg/dL is an ideal promising predictor of pneumonia in AECOPD, and its plasma level is not affected by ICS or SCS. The diagnostic performance of CRP is not significantly improved when combined with clinical symptoms or other markers (OPN, PCT, and Neu).