scholarly journals Association of Red Blood Cell Distribution Width Levels with Connective Tissue Disease-Associated Interstitial Lung Disease (CTD-ILD)

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shenyun Shi ◽  
Ling Chen ◽  
Xianhua Gui ◽  
Lulu Chen ◽  
Xiaohua Qiu ◽  
...  
Keyword(s):  
Interstitial Lung Disease ◽  
Connective Tissue ◽  
Blood Cell ◽  
Lung Disease ◽  
Connective Tissue Disease ◽  
Red Blood Cell ◽  
Cell Distribution ◽  
Distribution Width ◽  
Cutoff Value ◽  
Red Blood Cell Distribution

Objective. The aim of this study was to evaluate the diagnostic and prognostic value of red blood cell distribution width (RDW) in patients with connective tissue disease-associated interstitial lung disease (CTD-ILD). Methods. We retrospectively reviewed 213 CTD-ILD patients and 97 CTD patients without ILD from February 2017 to February 2020. Hospital and office records were used as data sources. CTD-ILD patients were followed up. Results. Patients with CTD-ILD had significantly higher RDW than those with CTD without ILD ( p < 0.001 ). The area under the receiver operating characteristic curve (AUROC) of RDW for discriminating CTD-ILD from CTD without ILD was 0.64 (95% CI: 0.57-0.70, p < 0.001 ). The cutoff value of RDW for discriminating CTD-ILD from CTD without ILD was 13.95% with their corresponding specificity (55.9%) and sensitivity (70.1%). Correlation analyses showed that the increased RDW was significantly correlated with decreased DLCO%predicted ( r = − 0.211 , p = 0.002 ). Cox multiple regression analysis indicated that RDW ( HR = 1.495 , p < 0.001 ) was an independent factor in the survival of CTD-ILD. The best cutoff value of RDW to predict the survival of patients with CTD-ILD was 14.05% ( AUC = 0.78 , 95% CI: 0.72-0.84, p < 0.001 ). The log-rank test showed a significant difference in survival between the two groups ( RDW > 14.05 % and RDW < 14.05 % ). Conclusion. RDW was higher in CTD-ILD patients and had a negative correlation with DLCO%predicted. RDW may be an important serum biomarker for severity and prognosis of patients with CTD-ILD.

scholarly journals Study on the Red Blood Cell Distribution Width in Connective Tissue Disease Associated with Interstitial Lung Disease

2020 ◽  
Vol 2020 ◽  
pp. 1-5
Author(s):  
Chuanmei Liu ◽  
Jie Yang ◽  
Zhiwei Lu
Keyword(s):  
Interstitial Lung Disease ◽  
Connective Tissue ◽  
Blood Cell ◽  
Lung Disease ◽  
Connective Tissue Disease ◽  
Red Blood Cell ◽  
Multivariate Logistic Regression Analysis ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

Background. Connective tissue disease (CTD) associated with interstitial lung disease (ILD) affects the lungs and can lead to considerable morbidity and shortened survival. Red blood cell distribution width (RDW) is a readily available parameter that is routinely reported with complete blood cell count (CBC) This study aimed to investigate the predictive value of RDW in CTD-ILD. Methods. A retrospective analysis was performed on 180 patients with CTD-ILD and 202 patients with CTD but without ILD between April 2016 and December 2018. Baseline demographics, laboratory results, imaging examinations, and results of ultrasound scans were analysed. Results. In comparison with patients without ILD, patients with CTD-ILD displayed a larger RDW (14.65 ± 2.08 vs. 14.17 ± 1.63, P=0.002), and RDW shared positive relationships with pulmonary artery systolic pressure (r = 0.349; P<0.001), length of hospital confinement (r = 0.172; P=0.022), and hospitalisation expenses (r = 0.158; P=0.037). Multivariate logistic regression analysis showed that RDW (odds ratio (OR): 1.232, 95% confidence interval (CI): 1.053–1.422, P=0.009), IgG (OR: 1.103, 95% CI: 1.051–1.159, P<0.001), and age (OR: 1.032, 95% CI: 1.010–1.054, P=0.004) are independent predictors of CTD-ILD risk. The optimal cut-off value of RDW for predicting CTD-ILD was 14.85%, with a sensitivity and a specificity value of 41.2% and 75.2%, respectively. Conclusions. RDW was significantly increased in patients with CTD-ILD under various CTD backgrounds and may be a promising biomarker that may help physicians predict CTD-ILD risk.

scholarly journals Increased Red Blood Cell Distribution Width in the First Year after Diagnosis Predicts Worsening of Systemic Sclerosis-Associated Interstitial Lung Disease at 5 Years: A Pilot Study

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2274
Author(s):  
Satoshi Ebata ◽  
Ayumi Yoshizaki ◽  
Takemichi Fukasawa ◽  
Asako Yoshizaki-Ogawa ◽  
Yoshihide Asano ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Interstitial Lung Disease ◽  
Blood Cell ◽  
Lung Disease ◽  
Red Blood Cell ◽  
First Year ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

The course of systemic sclerosis-associated interstitial lung disease (SSc-ILD) varies among individuals. Red blood cell distribution width (RDW) has been reported to be a predictor of idiopathic pulmonary fibrosis. However, there are no studies on the relationship between RDW and SSc-ILD. We conducted a retrospective study of 28 patients who were diagnosed with SSc-ILD on their first visit to our hospital and were followed-up for 5 years. The correlation between the changes in RDW, KL-6, and SP-D (ΔRDW, ΔKL-6, ΔSP-D) and the changes in percent-predicted forced lung volume and % carbon monoxide diffusion (Δ%FVC, Δ%DLco) was investigated. ΔRDW at 1 year after diagnosis was significantly inversely correlated with Δ%FVC at 5 years after diagnosis (r = −0.51, p < 0.001) and Δ%DLco at 5 years after diagnosis (r = −0.47, p < 0.001), whereas ΔKL-6 and ΔSP-D at 1 year were not correlated with Δ%FVC or Δ%DLco at 5 years. In the group of SSc-ILD patients with RDW increase in the first year after diagnosis, %FVC and %DLco were significantly lower than baseline at 3-, 4-, and 5-year assessments. In the group of patients without RDW increase in the first year, %FVC and %DLco did not decrease during the follow-up period. In conclusion, the changes in RDW in the first year after diagnosis may be useful surrogate markers to predict the long-term course of SSc-ILD.

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.

scholarly journals Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (2) ◽  
pp. 286
Author(s):  
Angelo Zinellu ◽  
Arduino A. Mangoni
Keyword(s):  
Systematic Review ◽  
Blood Cell ◽  
Disease Severity ◽  
Red Blood Cell ◽  
Effect Size ◽  
Meta Analysis ◽  
Severe Illness ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

The identification of biomarkers predicting disease severity and outcomes is the focus of intense research in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 infection). Ideally, such biomarkers should be easily derivable from routine tests. We conducted a systematic review and meta-analysis of the predictive role of the red blood cell distribution width (RDW), a routine hematological test, in patients with SARS-CoV-2 infection. We searched the electronic databases PubMed, Web of Science and Scopus, from January 2020 to November 2020, for studies reporting data on the RDW and coronavirus disease 2019 (COVID-19) severity, defined as severe illness or admission to the intensive care unit (ICU), and mortality. Eleven studies in 4901 COVID-19 patients were selected for the meta-analysis. Pooled results showed that the RDW values were significantly higher in patients with severe disease and non-survivors (standard mean difference, SMD = 0.56, 95% CI 0.31 to 0.81, p < 0.001). Heterogeneity between studies was extreme (I2 = 80.6%; p < 0.001). In sensitivity analysis, the effect size was not modified when each study was in turn removed (effect size range, between 0.47 and 0.63). The Begg’s (p = 0.53) and Egger’s tests (p = 0.52) showed no evidence of publication bias. No significant correlations were observed between SMD and age, gender, whole blood count, end point, study geographic area, or design. Our meta-analysis showed that higher RDW values are significantly associated with COVID-19 severity and mortality. This routine parameter might assist with early risk stratification in patients with SARS-CoV-2 infection.

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