Association between peripheral blood WBCs C3aR mRNA level and plasma C3a, C3aR, IL-1β concentrations and acute exacerbation of chronic obstructive pulmonary disease

A Prediction Model for In-Hospital Mortality of Acute Exacerbations of Chronic Obstructive Pulmonary Disease Patients Based on Red Cell Distribution Width-to-Platelet Ratio

Purpose

To explore the association between red cell distribution width (RDW)-to-platelet ratio (RPR) and in-hospital mortality of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients and establish a prediction model based on RPR and other predictors.

Material and Methods

This cohort study included 1922 AECOPD patients aged ≥18 years in the Medical Information Mart for Intensive Care (MIMIC)-III and MIMIC-IV as well as 1738 AECOPD patients from eICU Collaborative Research Database (eICU-CRD). Possible confounding factors were screened out by univariate logistic regression, and multivariable logistic regression was applied to evaluate the association between RPR and in-hospital mortality of AECOPD patients. The area under the curve (AUC), calibration curve and decision curve analysis (DCA) curve were plotted to evaluate the predictive value of the model. The median follow-up time was 3.14 (1.87, 6.25) day.

Results

At the end of follow-up, there were 1660 patients survived and 262 subjects died. After adjusting for confounders, we found that Log (RPR×1000) was linked with elevated risk of in-hospital mortality of AECOPD patients [odds ratio (OR)=1.36, 95% confidence interval (CI): 1.01-1.84]. The prediction model was constructed using predictors including Log (RPR×1000), age, malignant cancer, atrial fibrillation, ventilation, renal failure, diastolic blood pressure (DBP), temperature, Glasgow Coma Scale (GCS) score, white blood cell (WBC), creatinine, blood urea nitrogen (BUN), hemoglobin, infectious diseases and anion gap. The AUC of the prediction model was 0.785 (95% CI: 0.751-0.820) in the training set, 0.721 (95% CI: 0.662-0.780) in the testing set, and 0.795 (95% CI: 0.762-0.827) in the validation set.

Conclusion

RPR was associated with the in-hospital mortality of AECOPD patients. The prediction model for the in-hospital mortality of AECOPD patients based on RPR and other predictors presented good predictive performance, which might help the clinicians to quickly identify AECOPD patients at high risk of in-hospital mortality.

Effect of Noninvasive Positive Pressure Ventilation on Prognosis and Blood Gas Level in COPD Patients Complicated with Respiratory Failure

Chronic obstructive pulmonary disease (COPD) is a respiratory disease caused by chronic bronchitis, which seriously threatens the life safety of patients. Noninvasive positive pressure ventilation (NIPPV) has great advantages in its treatment. Here, we explore the effect of NIPPV on prognosis and blood gas level in COPD patients complicated with respiratory failure (RF). A case control study was retrospectively analyzed, where 36 COPD patients with RF were regarded as the regular group to carry on the routine treatment, and 42 patients were assigned to the research group to carry out the routine treatment plus NIPPV. The monofactorial analysis showed that the overall response rate, forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and FEV1/FVC in the research group were higher than those in the regular group, while partial pressure of arterial carbondioxide (PaCO₂), posttreatment endotracheal intubation (EI), length of stay (LOS), tumor necrosis factor (TNF-α), interleukin (IL)-6, IL-1β, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and modified Medical Research Council (mMRC) scores in the research group were lower than those in the regular group. These results indicated that NIPPV can improve the curative effect of emergency medicine patients with RF, improve BG level and PF, reduce inflammation, and facilitate patient's recovery.