Red Blood Cell Distribution Width and Mortality in ICU Patients; A Cross Sectional Retrospective Analysis Red Blood Cell Distribution Width and Mortality in ICU Patients

Author(s):  
Unase Buyukkocak ◽  
Isın Gencay ◽  
Gokay Ates ◽  
Osman Caglayan
Author(s):  
Kartika Paramita ◽  
Agus Alim Abdullah ◽  
Mansyur Arif

 Stroke is a functional disorder attributed to acute focal or global brain injury by vascular cause and persists more than 24 hours. Stroke is divided into ischemic and hemorrhagic strokes. Red Blood Cell Distribution Width (RDW) is a measurement of erythrocyte volume variation in blood circulation. Increased RDW reflects the inflammation that plays a role in the development of atherosclerosis in stroke. This study aims to analyze differences in RDW-CV values in patients with stroke. The design was cross-sectional with a retrospective approach, secondary data from medical records of inpatients with stroke from January to December 2016 at the Dr. Wahidin Sudirohusodo Hospital. The study population consisted of 490 patients aged ≥ 18 years old. The Kruskal-Wallis, Mann-Whitney, and Anova one way tests were used to analyze differences in RDW-CV values in patients with ischemic and hemorrhagic stroke. Mann-Whitney test results showed no significant difference in RDW-CV values between groups of ischemic and hemorrhagic stroke (p 0.96). Kruskal-Wallis and Anova one way tests showed no significant difference in RDW-CV values between four groups of patient outcomes in ischemic and hemorrhagic stroke (p 0.13 and p 0.35 consecutively). There were no significant RDW-CV values between ischemic and hemorrhagic stroke. There was no significant difference between RDW-CV values of four groups of patient outcomes in ischemic and hemorrhagic stroke. RDW-CV values cannot be used to distinguish both ischemic and hemorrhagic stroke, including the prediction of stroke mortality


2021 ◽  
Vol 33 (2) ◽  
pp. 84-89
Author(s):  
Farhana Wahab ◽  
Mohammad Jamal Uddin ◽  
ATM Asaduzzaman ◽  
Mohammod Abu Hena Chowdhury ◽  
Hasan Mahmud ◽  
...  

Introduction: Red blood cell distribution width (RDW) has been considered as an inflammatory marker in various disorders. Evaluation of RDW value can also be used as a novel and additional marker for differentiating systemic vasculitis from primary cutaneous vasculitis. Objective: To compare RDW value between patients with cutaneous vasculitis with systemic vasculitis, thereafter to find out it's role as an effective indicator to distinguish both forms of vasculitis. Materials and Methods: This cross sectional observational study was conduct between from July 2016 to December 2017. Total of 48 patients were divided into primary cutaneous vasculitis and systemic vasculitis. Blood was collected in EDTA tube to measure RDW value. Patient’s disease activity also scored and plotted according to Birmingham vasculitis activity score. Statistical analysis was performed by using SPSS. Results: Significantly high mean RDW were found in patients with systemic vasculitis compared to primary cutaneous vasculitis (15.09±0.92 vs. 13.48±1.1, p = 0.000). BVAS was significantly greater (13.93±5.10 vs. 4.87±2.69, p = < 0.001) in systemic vasculitis as well as in patients with high RDW group (11.73±5.71 vs. 5.37±3.96, p = < 0.001). Optimal RDW cut off point for differentiating systemic vasculitis from cutaneous vasculitis was 14.2 with 81.3% sensitivity and 81.2% specificity.  Conclusion: Present study revealed importance of RDW monitoring along with disease activity in patients with any form of vasculitis. Systemic vasculitis had higher level of RDW. So RDW can be considered as a marker to discriminate systemic vasculitis from primary cutaneous vasculitis. Medicine Today 2021 Vol.33(2): 84-89


2020 ◽  
Vol 3 (4) ◽  
pp. 01-04
Author(s):  
Jochanan E. Naschitz ◽  
Igor Yalonetzki ◽  
Gregory Leibovitz ◽  
Nathalia Zaigraykin

Background: The red blood cell distribution width (RDW) is a simple measure of red blood cell size heterogeneity. A high degree of anisocytosis, expressed by RDW >15%, is observed in certain anemias, but also in other disorders, where RDW >15% is associated with worse prognosis. We questioned whether the RDW/hemoglobin ratio (RDW/Hb) might closer relate to disease severity than RDW. Design: Cross sectional study Patients: 76 residents of two Department of Comprehensive Nursing Care. Method: Physicians classified the patients according to their clinical status in three groups: "stable", “severe-unstable”, and "intermediate". An outside observer extracted from the patients' files the results of RDW (elevated if >15%), hemoglobin, iron, and transferrin. The RDW (%)/Hb (g/dL) ratio and tansferrin saturation (TSAT) were computed. The associations between RDW, RDW/Hb, TSAT, and the patients' clinical status were assessed. Results: In residents of Department A, RDW >15% was found in 33% of 19 stable patients, in 58% of 10 patients with intermediate severity, and in 81% of 10 patients classified severe-unstable. The RDW/Hb ratio >1.4 was found in 24% of stable patients, in 73% with intermediate severity, and in 93% of the severe-unstable patients. In Department B, 36 out of 38 patient's were classified stable: in 61.2 % the RDW was >15% and in 38% the RDW/Hb was >1.4. Conclusions: In a heterogenic population presenting multimorbidity, the RDW and to a higher degree the RDW/Hb (p <0.00001), correlated with the patients' disease severity.


2018 ◽  
Vol 25 (05) ◽  
pp. 659-663
Author(s):  
Nathumal Maheshwari ◽  
Omperkash Khemani ◽  
Bilawal Hingorjo ◽  
Mehmood Shaikh ◽  
Siri Chand ◽  
...  

Objectives: To evaluate the predictive value of Red blood cell distribution width(RDW) for the iron deficiency anemia in children. Study Design: Cross sectional study. Placeand Duration: Department of Paediatrics, Layari General Hospital Shaheed Muhtrama BenazirBhutto Medical College from December 2015 to March 2016. Methodology: A sample of 100children (53 male and 47 female) was selected through non- probability (purposive sampling). 5ml venous blood was collected, 3 ml was shifted to EDTA containing vacutainers and remainingwas processed and centrifuged to separate sera. Complete blood counts and iron profile wereperformed. Data of cases and controls was analyzed on Statistix 10.0 software (USA) (P ≤0.05).Results: Severe iron deficiency and iron deficiency anemia were noted. Serum Iron, TIBC andFerritin were noted as 63.49±32.94 and 76.06±40.38 μg/dl, 468.7±142.2 and 445.5±135.2 μg/dl, & 36.2±14.12 and 43.2±13.5 ng/dl respectively. RDW proved a sensitivity and specificity of78% and 56% respectively (0.001). Conclusion: We observed severe iron deficiency anemia inchildren and Red blood cell distribution width showed high sensivity in predicting iron deficiencyanemia.


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