scholarly journals Evaluation of Hematocrit in Adults with Dengue by a Laboratory Information System

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Duangjai Sahassananda ◽  
Vipa Thanachartwet ◽  
Putza Chonsawat ◽  
Benjamaporn Wongphan ◽  
Supat Chamnanchanunt ◽  
...  
Keyword(s):  
Information System ◽  
Complete Blood Count ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Laboratory Information System ◽  
Cell Distribution ◽  
Distribution Width ◽  
Conversion Method ◽  
Highly Correlated ◽  
Red Blood Cell Distribution

The implementation of a laboratory information system (LIS) at the Hospital for Tropical Diseases in Thailand provides valuable medical resources, particularly for dengue. Hematocrit (Hct), which is often derived from hemoglobin (Hgb), is important in the diagnosis and management of dengue. This study aimed to evaluate the Hct value obtained from the LIS automated analyzer. We prospectively enrolled 163 hospitalized adults with dengue, for whom 1,141 real-time complete blood count (CBC) results were obtained via a hematology analyzer and updated in the LIS database. The median (interquartile range (IQR)) duration of analytic turnaround times (TATs) was 40.0 (30.0–53.0) minutes. Linear regression analysis indicated a significant relationship between Hgb and Hct with a coefficient of determination (Pearson’s R2) of 0.92 at red blood cell distribution width (RDW) ≤18, but Pearson’s R2 decreased to 0.78 at RDW >18. The Hct calculated from the three-fold conversion method and from the analyzer had a Pearson’s R2 of 0.92. At Hgb <12 g/dl and ≥16 g/dl, a greater difference between the two Hct values was observed, with median (IQR) differences of −0.8% (−1.9%–0.2%) and 0.8% (−0.1%–1.7%), respectively ( P value <0.05). In conclusion, the Hgb and Hct of patients with dengue were highly correlated at RDW ≤18. The Hct calculated from the three-fold conversion method and from the analyzer had an excellent relationship, except when the Hgb was <12 g/dl or ≥16 g/dl. Apart from routine CBC evaluation, the LIS could help for accurate data collection in clinical research and development.

scholarly journals A Novel Parameter for Predicting Therapeutic Response in Iron Deficiency Anemia: Red Blood Cell Distribution Width

2019 ◽  
Vol 8 (3) ◽  
pp. 107-112
Author(s):  
Aslı Korur ◽  
Didar Yanardag Acik ◽  
Soner Solmaz ◽  
Cigdem Gereklioglu ◽  
Suheyl Asma ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Count ◽  
Complete Blood Count ◽  
Reticulocyte Count ◽  
Iron Therapy ◽  
Deficiency Anemia ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

Aim: Anemia is a public health problem worldwide. Cost effectiveness and efficient use of resources are vitally important. Red blood cell distribution width, which can be obtained from a standard complete blood count, is a measure of the variability in size of circulating erythrocytes. The present study was performed to investigate whether red blood cell distribution width can be used to predict response to iron therapy. Methods: This study was conducted in 50 patients admitted to hematology and family medicine clinics. Complete blood count and reticulocyte count were determined on day 5; complete blood count was examined 1 month after commencement of therapy. Results: Statistically significant differences were detected between hemoglobin levels and red blood cell distribution width values at the time of diagnosis and on day 5 and after 1 month of therapy. A significant positive correlation was found between the increase in red blood cell distribution width and the increase in hemoglobin. Conclusion: Red blood cell distribution width may be used in place of reticulocyte count to predict response to iron therapy. Red blood cell distribution width is the best biomarker for this purpose as a component of complete blood count, and therefore it may be accepted as superior to reticulocyte count.

scholarly journals Red Blood Cell Distribution Width: A Novel Predictive Indicator for Cardiovascular and Cerebrovascular Diseases

2017 ◽  
Vol 2017 ◽  
pp. 1-23 ◽  
Author(s):  
Ning Li ◽  
Heng Zhou ◽  
Qizhu Tang
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Complete Blood Count ◽  
Predictive Marker ◽  
Biochemical Parameter ◽  
Cerebrovascular Diseases ◽  
Deficiency Anemia ◽  
Cell Distribution ◽  
Distribution Width ◽  
Red Blood Cell Distribution

The red blood cell distribution width (RDW) obtained from a standard complete blood count (CBC) is a convenient and inexpensive biochemical parameter representing the variability in size of circulating erythrocytes. Over the past few decades, RDW with mean corpuscular volume (MCV) has been used to identify quite a few hematological system diseases including iron-deficiency anemia and bone marrow dysfunction. In recent years, many clinical studies have proved that the alterations of RDW levels may be associated with the incidence and prognosis in many cardiovascular and cerebrovascular diseases (CVDs). Therefore, early detection and intervention in time of these vascular diseases is critical for delaying their progression. RDW as a new predictive marker and an independent risk factor plays a significant role in assessing the severity and progression of CVDs. However, the mechanisms of the association between RDW and the prognosis of CVDs remain unclear. In this review, we will provide an overview of the representative literatures concerning hypothetical and potential epidemiological associations between RDW and CVDs and discuss the underlying mechanisms.

scholarly journals Increased red blood cell distribution width in patients with plaque psoriasis

2020 ◽  
Author(s):  
Davide Geat
Keyword(s):  
Blood Cell ◽  
Disease Severity ◽  
Red Blood Cell ◽  
Plaque Psoriasis ◽  
Linear Regression Analysis ◽  
Psoriatic Patient ◽  
Cell Distribution ◽  
Distribution Width ◽  
Significant Difference ◽  
Red Blood Cell Distribution

Background: Red blood cell distribution width (RDW) is frequently increased in inflammatory disorders and the magnitude of its elevation correlates with disease severity. This study was hence aimed to explore RDW values in patients with psoriasis. Methods: The study population consisted of 366 adult patients with mild to severe plaque psoriasis and 366 age- and sex-matched healthy blood donor controls. For each psoriatic patient demographic, clinical and laboratory data were regularly collected. Results: RDW and MCV were significantly higher in psoriatic patients compared to controls (13.95 vs. 13.40% and 90.4 vs. 89 fL; both p<0.01). In order to assess whether RDW elevations were related to psoriasis severity, we divided our psoriatic patient population into two groups based on a PASI cut-off of 10. No significant differences were observed between the two groups (i.e. PASI > 10 and ≤ 10) in terms of RDW (p=0.36). Adopting different PASI cut-offs (i.e.  3, 5, 7, 12) did also not result in statistically significant differences (p= 0.93, 0.48, 0.22, 0.42, respectively). In linear regression analysis, no significant correlation was also found between RDW and PASI or CRP, nor with age, gender or the psoriasis comorbidities listed in Table I. Furthermore, no significant difference of RDW values was noted between psoriatic patients with and without PsA (p = 0.27). Conclusions: The results of this study confirm that RDW is elevated in psoriatic patients, though the magnitude of its increase did not appear to be associated with disease severity.

scholarly journals Is Elevated Red Blood Cell Distribution Width Value a Prognostic Marker in Sepsis Patients?

2021 ◽  
pp. 42-46
Author(s):  
Sethuraj Selvaraj ◽  
A. Tumbanatham
Keyword(s):  
Blood Cell ◽  
Prognostic Marker ◽  
Red Blood Cell ◽  
Complete Blood Count ◽  
Predictive Score ◽  
Cell Distribution ◽  
Distribution Width ◽  
Independent Variable ◽  
Red Blood Cell Distribution ◽  
Morphology Changes

Sepsis and its complications are a common cause of infectious disease and death in worldwide. But the infection can be challenges to confirm and there is gold standard methods to confirm it. Red blood cell distribution width (RDW) value frequently measured at every complete blood count. In sepsis the RDW morphology changes are believed to be mainly related to prognosis. RDW has also been studied as an independent variable in different predictive score. We systematically review the articles can RDW be used as prognostic marker in patient with sepsis.

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.

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