Prothrombotic state in senile patients with acute exacerbations of chronic obstructive pulmonary disease combined with respiratory failure

Development and validation of a model for predicting the early occurrence of RF in ICU-admitted AECOPD patients: a retrospective analysis based on the MIMIC-IV database

BACKGROUND

This study aims to construct a model predicting the probability of RF in AECOPD patients upon hospital admission.

METHODS

This study retrospectively extracted data from MIMIC-IV database, ultimately including 3776 AECOPD patients. The patients were randomly divided into a training set (n = 2643) and a validation set (n = 1133) in a 7:3 ratio. First, LASSO regression analysis was used to optimize variable selection by running a tenfold k-cyclic coordinate descent. Subsequently, a multifactorial Cox regression analysis was employed to establish a predictive model. Thirdly, the model was validated using ROC curves, Harrell's C-index, calibration plots, DCA, and K-M curve.

RESULT

Eight predictive indicators were selected, including blood urea nitrogen, prothrombin time, white blood cell count, heart rate, the presence of comorbid interstitial lung disease, heart failure, and the use of antibiotics and bronchodilators. The model constructed with these 8 predictors demonstrated good predictive capabilities, with ROC curve areas under the curve (AUC) of 0.858 (0.836-0.881), 0.773 (0.746-0.799), 0.736 (0.701-0.771) within 3, 7, and 14 days in the training set, respectively and the C-index was 0.743 (0.723-0.763). Additionally, calibration plots indicated strong consistency between predicted and observed values. DCA analysis demonstrated favorable clinical utility. The K-M curve indicated the model's good reliability, revealed a significantly higher RF occurrence probability in the high-risk group than that in the low-risk group (P < 0.0001).

CONCLUSION

The nomogram can provide valuable guidance for clinical practitioners to early predict the probability of RF occurrence in AECOPD patients, take relevant measures, prevent RF, and improve patient outcomes.

A Diagnostic Nomogram for Predicting Hypercapnic Respiratory Failure in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

To develop and validate a nomogram for assessing the risk of developing hypercapnic respiratory failure (HRF) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

Patients and Methods

From January 2019 to August 2023, a total of 334 AECOPD patients were enrolled in this research. We employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression to determine independent predictors and develop a nomogram. This nomogram was appraised by the area under the receiver operating characteristic curve (AUC), calibration curve, Hosmer-Lemeshow goodness-of-fit test (HL test), decision curve analysis (DCA), and clinical impact curve (CIC). The enhanced bootstrap method was used for internal validation.

Results

Sex, prognostic nutritional index (PNI), hematocrit (HCT), and activities of daily living (ADL) were independent predictors of HRF in AECOPD patients. The developed nomogram based on the above predictors showed good performance. The AUCs for the training, internal, and external validation cohorts were 0.841, 0.884, and 0.852, respectively. The calibration curves and HL test showed excellent concordance. The DCA and CIC showed excellent clinical usefulness. Finally, a dynamic nomogram was developed (https://a18895635453.shinyapps.io/dynnomapp/).

Conclusion

This nomogram based on sex, PNI, HCT, and ADL demonstrated high accuracy and clinical value in predicting HRF. It is a less expensive and more accessible approach to assess the risk of developing HRF in AECOPD patients, which is more suitable for primary hospitals, especially in developing countries with high COPD-related morbidity and mortality.

Use of the Serum Level of Cholinesterase as a Prognostic Marker of Nonfatal Clinical Outcomes in Patients Hospitalized with Acute Exacerbations of Chronic Obstructive Pulmonary Disease

Introduction

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) contributes to a poor prognosis. Reliable biomarkers to predict adverse outcomes during hospitalization are important.

Aim

To investigate the relationship between the serum cholinesterase (ChE) level and adverse clinical outcomes, including hypoxemia severity, hypercapnia, duration of hospital stay (DoHS), and noninvasive ventilation (NIV) requirement, in patients with AECOPD.

Methods

Patients hospitalized with AECOPD in the Wuhu Hospital of Traditional Chinese Medicine between January 2017 and December 2021 were included.

Results

A total of 429 patients were enrolled. The serum ChE level was significantly lower in patients with hypercapnia, who required NIV during hospitalization and who had a DoHS of >10 days, with an oxygenation index < 300. The ChE level was correlated negatively with the C-reactive protein level and neutrophil-to-lymphocyte ratio and correlated positively with the serum albumin level. Multivariate logistic regression analysis indicated that a serum ChE level of ≤4116 U/L (OR = 2.857, 95% CI = 1.46-5.58, p = 0.002) was associated significantly with NIV requirement.

Conclusions

The serum ChE level was correlated significantly with complicating severe hypoxemia, hypercapnia, prolonged DoHS, and the need for NIV in patients hospitalized with AECOPD. The serum ChE level is a clinically important risk-stratification biomarker in patients hospitalized with AECOPD.

Abnormal expression and clinical value analysis of long noncoding RNA cancer susceptibility candidate 2 in children with severe pneumonia complicated with respiratory failure

Objective

Severe pneumonia occurs commonly in children and is the main cause of clinical infant mortality. This study tested the expression pattern of long noncoding RNA cancer susceptibility candidate 2 (CASC2) in the serum of children with severe pneumonia and explored its clinical values.

Methods

Serum levels of CASC2 were detected in 145 children with severe pneumonia. All cases were divided into two groups based on their respiratory failure (RF) condition. Receiver operating characteristic (ROC) and Kaplan–Meier (K‐M) curves were plotted for the diagnostic and prognostic ability evaluation. Multivariate cox regression analysis was done for the examination of independent influence factors.

Results

The serum levels of CASC2 significantly decreased in children with severe pneumonia in contrast with healthy individuals and reached the lowest value in those with RF. Serum CASC2 can distinguish severe pneumonia and predicted the development of RF. Based on the 28‐day survival data, cases with low CASC2 levels had a poor survival rate. CASC2 (hazard ratio [HR] = 0.068, 95% confidence interval [CI] = 0.016–0.292, P < 0.001) and age (HR = 2.806, 95% CI = 1.240–6.394, P < 0.001) were independent influence factor for the poor prognosis of children with severe pneumonia.

Conclusion

Downregulation of serum CASC2 was related to the occurrence of RF in children with severe pneumonia and may be a predictor of the poor prognosis. This study will provide a potential biomarker for severe pneumonia treatment in clinic.

Hypercoagulable State in COPD-A Comprehensive Literature Review

Chronic Obstructive Pulmonary Disease (COPD) is a chronic inflammatory disease with multisystemic manifestations. Studies either held on stable disease patients or during exacerbations have demonstrated that COPD is strongly related to venous thromboembolism and cardiovascular events. The aim of the present review of the literature was to provide an in-depth overview regarding the alterations of coagulation factors and prothrombotic changes generated in patients with stable COPD and during COPD exacerbations.

Serum MCP-1 and NGAL Play an Important Role in the Acute Inflammatory Event of Chronic Obstructive Pulmonary Disease

NGAL is mainly secreted by neutrophils which play the core role in AECOPD. MCP-1 is secreted specifically by monocytes and macrophages. Both biomarkers are involved in the core process of acute inflammatory reaction in COPD. So We analyzed serum NGAL and MCP-1levels to explore their potential clinical values in the chronic obstructive pulmonary disease (COPD) .This study enrolled 97 COPD patients and 50 healthy controls. All participants received blood collection and lung function test and arterial blood gas measurements. The expression levels of serum NGAL and MCP-1 were measured by ELISA. The serum NGAL and MCP-1 levels of COPD with community-acquired pneumonia (COPD-CAP) patients were significantly higher than those of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients and healthy adults. The NGAL levels of the GOLD III and IV groups were significantly higher than those of the GOLD II group. Spearman correlation analysis showed a negative correlation between NGAL and FEV1%pred, FVC% pred. ROC curves indicated that NGAL has a high diagnostic value for both AECOPD and COPD-CAP. NGAL has the value of distinguishing GOLD I and II from GOLD III and IV. MCP-1 have moderate diagnostic value for COPD-CAP and can differentiate COPD-CAP from AECOPD. This study shows NGAL has certain diagnostic value for AECOPD and COPD-CAP, but can not distinguish the two. NGAL is closely related to airway remodeling and can be used as a potential indicator to distinguish the higher GOLD degree. MCP-1 can be used as potential indicator for the diagnosis of COPD-CAP.

Heparin beyond anti-coagulation

Heparin has served as a mainstream anticoagulant for over eight decades. Clinically heparin-derived compounds significantly contribute to prevention and treatment of thrombotic events complicated in numerous medical conditions such as venous thromboembolism, coronary artery disease and extracorporeal circulation processes. Moreover in recent years, various off-labeled efficacious potentials of heparin beyond anti-coagulation are dramatically emerging, and increasingly investigated in clinical studies. Herein this article presents a comprehensive update on the expanded applications of heparin agents, covering the pregnant clinic, respiratory inflammation, renal disease, sepsis, pancreatitis, among others. It aims to maximize the beneficial profile of a pharmaceutical product through medical re-purposing development, exemplified by heparin, to address the unmet clinical needs of severe illness including coronavirus disease 2019 (COVID-19).

Benefits and risks of low molecular weight heparin in patients with acute exacerbation of chronic obstructive pulmonary disease: a meta-analysis of randomized controlled trials

BACKGROUND

Low molecular weight heparin (LMWH) is an anticoagulant that has recently been found benefit in the acute exacerbation stage of chronic obstructive pulmonary disease (COPD). But its efficacy is controversial. The objective of this paper is to compare the harm/benefit of LMWH combined with conventional therapy versus single conventional therapy in the acute exacerbation stage of COPD.

METHODS

PubMed, Cochrane Library, EMBASE, CNKI, and Clinical Trials.gov were searched from inception until March 2019. Randomized control trials were included if they reported the use of LMWH for the treatment of COPD. Continuous variable data were reported as mean difference (MD), risk difference (RD), and Peto odds ratio (OR) with corresponding 95% CIs.

RESULTS

Twelve RCTs (N = 1086 subjects) were included in the meta-analysis. Pooled results exhibited that LMWH treatment significantly improved the levels of arterial partial pressure of oxygen (PaO₂) (MD = 4.58, 95% CI: 1.78-7.39, P = 0.001), forced expiratory volume in 1 s (FEV1) (MD = 0.19, 95% CI: 0.09-0.29, P = 0.0002), and FEV1/forced vital capacity (FVC) (MD = 10.44, 95% CI: 5.40-15.48, P < 0.0001), and significantly reduced the risk of thrombosis (RD, - 0.03; 95% CI, - 0.07 to 0.00; P = 0.05). There was a marginally but nonsignificant improvement in PaCO₂ levels vs non-LMWH treatment. Moreover, pooled results exhibited that LMWH may increase the risk of hemorrhage. Subgroup analyses exhibited that LMWH treatment only was associated with a significantly increased risk of minor bleeding but not major hemorrhage.

CONCLUSIONS

When compared with single conventional therapy, addition of LMWH to conventional therapy may provide more clinical benefits in the acute exacerbation stage of COPD.

Predictive value of ADAMTS-13 on concealed chronic renal failure in COPD patients

Background

Impaired renal function is often neglected in COPD patients. Considering that COPD patients usually have an ongoing prothrombotic state and systemic inflammation status, we investigated the association among them and explored the predictive value of a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13 (ADAMTS-13), on concealed chronic renal failure (CRF) in COPD patients.

Methods

COPD patients were recruited from the First Affiliated Hospital of Sun Yat-Sen University between January 2015 and December 2016. Control was selected from contemporaneous hospitalized patients without COPD and matched by age and gender at a ratio of 1:1. Estimated glomerular filtration rate (eGFR) was calculated by using the Chronic Kidney Disease Epidemiology Collaboration formula, and all subjects were categorized as having normal renal function (eGFR ≥60 mL min^-1 1.73 m^-2) and having concealed CRF (normal serum creatinine while eGFR <60 mL min^-1 1.73 m^-2). Independent correlates of concealed CRF were investigated by logistic regression analysis, and receiver operating characteristic (ROC) curves were used to determine the predictive value of ADAMTS-13.

Results

In total, 106 COPD and 106 non-COPD patients were finally recruited, and the incidences of concealed CRF were 19.81% and 7.55%, respectively. ADAMTS-13 (odds ratio [OR] =0.858, 95% CI =0.795-0.926), D-dimer (OR =1.095, 95% CI =1.027-1.169), and C-reactive protein (OR =1.252, 95% CI =1.058-1.480) were significantly associated with concealed CRF. Sensitivity and specificity at an ADAMTS-13 cutoff of 318.72 ng/mL were 100% and 81.2%, respectively. The area under the ROC curve was 0.959.

Conclusion

Prothrombotic state and systemic inflammation status might contribute to explaining the high incidence of concealed CRF in COPD, and plasma ADAMTS-13 levels may serve as a strong predictor.

Prognostic role of D-dimer for in-hospital and 1-year mortality in exacerbations of COPD

Background and objective

Serum D-dimer is elevated in respiratory disease. The objective of our study was to investigate the effect of D-dimer on in-hospital and 1-year mortality after acute exacerbations of chronic obstructive pulmonary disease (AECOPD).

Methods

Upon admission, we measured 343 AECOPD patients’ serum D-dimer levels and arterial blood gas analysis, and recorded their clinical characteristics. The level of D-dimer that discriminated survivors and non-survivors was determined using a receiver operator curve (ROC). The risk factors for in-hospital mortality were identified through univariate analysis and multiple logistic regression analyses. To evaluate the predictive role of D-dimer for 1-year mortality, univariate and multivariate Cox regression analyses were performed.

Results

In all, 28 patients died, and 315 patients survived in the in-hospital period. The group of dead patients had lower pH levels (7.35±0.11 vs 7.39±0.05, P<0.0001), higher D-dimer, arterial carbon dioxide tension (PaCO₂), C-reactive protein (CRP), and blood urea nitrogen (BUN) levels (D-dimer 2,244.9±2,310.7 vs 768.2±1,078.4 µg/L, P<0.0001; PaCO₂: 58.8±29.7 vs 46.1±27.0 mmHg, P=0.018; CRP: 81.5±66, P=0.001; BUN: 10.20±6.87 vs 6.15±3.15 mmol/L, P<0.0001), and lower hemoglobin levels (118.6±29.4 vs 128.3±18.2 g/L, P=0.001). The areas under the ROC curves of D-dimer for in-hospital death were 0.748 (95% confidence interval (CI): 0.641–0.854). D-dimer ≥985 ng/L was a risk factor for in-hospital mortality (relative risk =6.51; 95% CI 3.06–13.83). Multivariate logistic regression analysis also showed that D-dimer ≥985 ng/L and heart failure were independent risk factors for in-hospital mortality. Both univariate and multivariate Cox regression analyses showed that D-dimer ≥985 ng/L was an independent risk factor for 1-year death (hazard ratio (HR) 3.48, 95% CI 2.07–5.85 for the univariate analysis; and HR 1.96, 95% CI 1.05–3.65 for the multivariate analysis).

Conclusion

D-dimer was a strong and independent risk factor for in-hospital and 1-year death for AECOPD patients.

Differential proteomic analysis of respiratory failure in peripheral blood mononuclear cells using iTRAQ technology

Respiratory failure (RF) is a state in which the respiratory system fails by its gas exchange functions. Failure of the lung, which is caused by all types of lung diseases, leads to hypoxaemia with type I respiratory failure. Failure of the pump leads to hypercapnia or type II respiratory failure. Using isobaric tags for relative and absolute quantification (iTRAQ) technology to identify and quantify the total proteins in peripheral blood mononuclear cells (PBMCs) of RF patients and identify the differentially expressed proteome. The present study analyzed the total proteins in the PBMCs of RF patients and healthy controls using the eight-plex iTRAQ added with strong cation-exchange chromatography and liquid chromatography coupled with tandem mass spectrometry. The differentially expressed proteins were identified by MASCOT. A total of 4,795 differentially expressed proteins were identified, and 403 proteins were upregulated and 421 were downregulated. Among them, 4 proteins were significantly differentially expressed, which were upregulated KIAA1520 protein and γ fibrinogen type B (AA at 202) and downregulated chain A, crystal structure of recombinant human platelet factor 4 and myosin regulatory light polypeptide 9. iTRAQ technology is suitable for identifying and quantifying the proteome in the PBMCs of RF patients. The differentially expressed proteins of RF patients have been identified in the present study, and further research of the molecular mechanism of the differentially expressed proteins is required to clarify the pathogenesis and identify novel biomarkers of RF.