A narrative review of red blood cell distribution width as a marker for pulmonary embolism

Hammons, Lindsay; Filopei, Jason; Steiger, David; Bondarsky, Eric

doi:10.1007/s11239-019-01906-w

Cited by 39 publications

(27 citation statements)

References 61 publications

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“…In our study the RDW parameter had an inverse correlation with the size of the pulmonary Table 3 SYMPTOMS AND COMORBIDITIES OF ELDERLY PATIENTS embolism, but it did not achieve a statistical significance. Several studies have shown that there is some degree of correlation with this parameter [14,15]. Regarding CKD patients, which were excluded from our study, especially those with a eGFR<15mL/min and dialysis patients, is known that they have a nearly 2 fold increased hazard ratio(HR) of PE and a 2.5 fold increased mortality from PE compared with those without clinical kidney disease [16][17][18][19][20].…”

Section: Resultsmentioning

confidence: 99%

Clinical and Laboratory Aspects of the Severity of Pulmonary Embolism in Elderly Patients versus Adult Patients A single centre study

Morgovan¹,

Ivan²,

Buzas³

et al. 2019

Rev.Chim.

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Pulmonary thromboembolism is currently one of the leading causes of disease burden and mortality in Europe, also known as the great masquerader, for its ability to mimic other diseases or to present itself with few symptoms, especially when the pulmonary embolism is very small. With aging population, increased survival of cancer patients and the addition of multiple debilitating diseases such as dementia, heart failure, chronic kidney disease the rate of pulmonary embolism is spiking, with more and more small pulmonary embolism being diagnosed, that may have no immediate impact on mortality, but which may contribute to an increase in morbidity. We have examined retrospectively 108 consecutively cases of pulmonary thromboembolism that have presented in the Emergency Department of Municipal Hospital in Timisoara, Romania over the course of twenty-one months from September 2016 to May 2018 and we evaluated the clinical and laboratory findings in studying the influence of age over the severity of pulmonary embolism.

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Section: Resultsmentioning

confidence: 99%

Clinical and Laboratory Aspects of the Severity of Pulmonary Embolism in Elderly Patients versus Adult Patients A single centre study

Morgovan¹,

Ivan²,

Buzas³

et al. 2019

Rev.Chim.

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“…Recent studies confirmed that PT was an independent risk factor for prostatic tumours in the perioperative period with VTE or COVID-19-related thrombotic complications 33 , 34 . In addition, the relationship between red blood cells and VTE has been gradually realized 35 , 36 . Even more interesting is that haemoglobin has been reported to be associated with VTE risk in cancer patients 37 .…”

Section: Discussionmentioning

confidence: 99%

Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients

Liu

Yuan

Wang

et al. 2021

Sci Rep

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Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among young-middle-aged inpatients are different from those among elderly people. Therefore, the current prediction models for VTE are not applicable to young-middle-aged inpatients. The aim of this study was to develop and externally validate a new prediction model for young-middle-aged people using machine learning methods. The clinical data sets linked with 167 inpatients with deep venous thrombosis (DVT) and/or pulmonary embolism (PE) and 406 patients without DVT or PE were compared and analysed with machine learning techniques. Five algorithms, including logistic regression, decision tree, feed-forward neural network, support vector machine, and random forest, were used for training and preparing the models. The support vector machine model had the best performance, with AUC values of 0.806–0.944 for 95% CI, 59% sensitivity and 99% specificity, and an accuracy of 87%. Although different top predictors of adverse outcomes appeared in the different models, life-threatening illness, fibrinogen, RBCs, and PT appeared to be more consistently featured by the different models as top predictors of adverse outcomes. Clinical data sets of young and middle-aged inpatients can be used to accurately predict the risk of VTE with a support vector machine model.

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“…Zhou et al discovered that blood RDW levels are a simple and practical indicator in predicting 30-day mortality in patients with PE [ 31 ]. Hammons et al subsequently reported that there was a correlation between RDW and the prediction, severity, and survival of patients with acute PE [ 32 ]. Although it has been shown that RDW is associated with increased mortality in PE, few studies have focused on the ability of RDW to predict the possible occurrence of PE in COPD patients.…”

Section: Discussionmentioning

confidence: 99%

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

Wang

Wan

Qing

et al. 2020

Analytical Cellular Pathology

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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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A narrative review of red blood cell distribution width as a marker for pulmonary embolism

Cited by 39 publications

References 61 publications

Clinical and Laboratory Aspects of the Severity of Pulmonary Embolism in Elderly Patients versus Adult Patients A single centre study

Clinical and Laboratory Aspects of the Severity of Pulmonary Embolism in Elderly Patients versus Adult Patients A single centre study

Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients

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

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