scholarly journals Are Red Blood Cell Distribution Width and RDW / Hemoglobin Ratio Predictable in Mortality Among Patients with Chronic Obstructive Pulmonary Disease?

2019 ◽  
Author(s):  
nalan organ
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Blood Cell ◽  
Pulmonary Disease ◽  
Red Blood Cell ◽  
Chronic Obstructive ◽  
Cell Distribution ◽  
Obstructive Pulmonary Disease ◽  
Distribution Width ◽  
Red Blood Cell Distribution

scholarly journals Red blood cell distribution width and serum CA-125 level as prognostic markers in acute exacerbation of chronic obstructive pulmonary disease

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110202
Author(s):  
Fang He ◽  
Ping Zhao ◽  
Yan Chu ◽  
Na Zhao ◽  
Jiexi Cheng
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Poor Prognosis ◽  
Ca 125 ◽  
Chronic Obstructive ◽  
Cell Distribution ◽  
Obstructive Pulmonary Disease ◽  
Distribution Width ◽  
Red Blood Cell Distribution

Objective Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a primary cause of hospitalization and death in COPD. Serum CA-125 and red blood cell distribution width (RDW) are related to AECOPD. We investigated correlations between serum markers and AECOPD. Methods In total, 132 patients with AECOPD were included from January 2017 to December 2019. Participants were followed for 1 year. Patients were assigned to the poor prognosis (n = 40) or good prognosis (n = 92) group. We collected serum samples and general clinical information and conducted routine blood tests. We used logistic regression, receiver operating characteristic (ROC), and area under the ROC curve (AUC) analyses to assess differences between groups. Results We found significant differences between groups (odds ratio, 95% confidence interval) for age (1.046, 1.005–1.09), RDW (2.012, 1.339–3.023), and cancer antigen 125 (CA-125; 1.022, 1.006–1.039); these remained risk factors for AECOPD prognosis in multivariate analyses. RDW and CA-125 in combination was significant in ROC curve analysis. The AUC of RDW, CA-125, and these combined were 0.691, 0.779, and 0.772, respectively. Patients with RDW >12.75% and CA-125 >15.65 U/mL were predicted to have poor prognosis. Conclusions We found that RDW and CA-125 are potential prognostic indicators for AECOPD.

scholarly journals Red Blood Cell Distribution Width Predicts Pulmonary Hypertension Secondary to Chronic Obstructive Pulmonary Disease

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Jie Yang ◽  
Chuanmei Liu ◽  
Lingling Li ◽  
Xiongwen Tu ◽  
Zhiwei Lu
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Hypertension ◽  
Blood Cell ◽  
Tracking System ◽  
Chronic Obstructive ◽  
Cell Distribution ◽  
Obstructive Pulmonary Disease ◽  
Distribution Width ◽  
Copd Patients ◽  
Red Blood Cell Distribution

Purpose. This study aims at investigating the predictive value of red blood cell distribution width (RDW) in pulmonary hypertension (PH) secondary to chronic obstructive pulmonary disease (COPD). Methods. 213 eligible in-hospital COPD patients were reviewed between May 2016 and May 2018, including 39 cases with PH and 174 without PH. Clinical data including demographic characteristics, comorbidities, and results of ultrasound scans, imaging examinations, and laboratory tests were recorded. Results. Increased RDW level was observed in COPD patients with PH compared with COPD patients without PH, with 15.10 ± 1.72% versus 13.70 ± 1.03%, respectively (p<0.001). RDW shared positive relationships with brain natriuretic peptide (BNP) (p=0.001, r = 0.513), pulmonary artery (PA) systolic pressure (p=0.014, r = 0.390), and PA-to-ascending aorta (A) ratio (PA : A) (p=0.001, r = 0.502). Multivariate analysis indicated that RDW, BNP, and PA : A > 1 were the independent risk factors of PH secondary to COPD (p<0.05). The AUC of the RDW in patients with PH was 0.749 ± 0.054 (p<0.001). The optimal cutoff value of RDW for predicting PH was 14.65, with a sensitivity and a specificity value of 69.2% and 82.8%, respectively. Conclusion. RDW is significantly increased in COPD patients with PH and thus may be a useful biomarker for PH secondary to COPD.

scholarly journals Predictive Value of Red Blood Cell Distribution Width in Chronic Obstructive Pulmonary Disease Patients with Pulmonary Embolism

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jing Wang ◽  
Zongren Wan ◽  
Qing Liu ◽  
Baolan Wang ◽  
Liang Wang ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Chronic Obstructive ◽  
Cell Distribution ◽  
Obstructive Pulmonary Disease ◽  
Distribution Width ◽  
Cutoff Value ◽  
Copd Patients ◽  
Red Blood Cell Distribution ◽  
D Dimer

Purpose. This study is aimed at investigating the relationship between red cell distribution width (RDW) and chronic obstructive pulmonary disease (COPD) patients with pulmonary embolism (PE). Methods. We conducted a retrospective study enrolling a total of 125 patients from January 2013 to December 2019. The study group consisted of 40 COPD patients with PE, and the control group had 85 COPD patients without PE. Clinical data including demographic characteristics, comorbidities, and results of imaging examinations and laboratory tests were recorded. Blood biomarkers, including red blood cell distribution width standard deviation (RDW-SD), red blood cell distribution width coefficient of variation (RDW-CV), and D-Dimer, were included. Results. RDW-SD and RDW-CV were higher in the COPD patients with the PE group (p<0.001). A higher RDW-SD led to a significantly increased risk of PE than a lower RDW-SD (adjusted odds ratio (OR): 1.188; 95% confidence interval (CI): 1.048-1.348). The area under the curve (AUC) of RDW-SD used for predicting PE was 0.737. Using 44.55 as the cutoff value of RDW-SD, the sensitivity was 80% and the specificity was 64.7%. The prediction accuracy of RDW-SD combined with D-Dimer (AUC=0.897) was higher than that of RDW-SD or D-Dimer alone. The optimal cutoff value of RDW-SD+D-Dimer for predicting PE was 0.266, which generated a sensitivity of 87.5% and specificity of 83.5%. Conclusion. RDW is significantly increased in COPD patients with PE and may thus be useful in predicting the occurrence of PE in patients with COPD.

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