Journals / Türk Biyokimya Dergisi / 2020 / Cilt: 45 - Sayı: 1

The distribution indices of erythrocytes:which one for acute ischemic stroke?

Eritrosit dağılım indeksleri: Akut iskemik inmeiçin hangisi?

Pages
65–75
Publication Date
2022-11-06
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

However, when we evaluated RDW-SD, higher 43.55 fL RDW-SD values was have 16-fold increase in severity of stroke and have a relatively high linear rela-tionship with stroke severity scores to RDW-CV.Conclusions: RDW-CV and RDW-SD levels have different prognostic poor outcomes for interpreting in ischemic stroke events approach and these should be used alone and com-paratively with the AIS predictive and prognostic approach.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Background: The erythrocytes distribution indices are reported from same histogram but they have different ref-erence intervals and calculated by distinct measurements.Objectives: To explore whether the RDW-CV and RDW-SD values may predictive and prognostic significance in ischemic stroke patients and to clarify the relation each of these indices with stroke severity and 3-months survival.Materials and methods: Cumulative survival rates were calculated with the Kaplan-Meier method, and life curves were compared to RDW-CV, RDW-SD quartiles.
📊
Key Findings & Data:The risk factors were described with a multivariable cox propor-tional hazard model.Results: In acute ischemic stroke, RDW-CV was more spe-cific and RDW-SD was more sensitive (92% vs. 80%) (52% vs. 48%).
💡
Conclusion & Impact:However, when we evaluated RDW-SD, higher 43.55 fL RDW-SD values was have 16-fold increase in severity of stroke and have a relatively high linear rela-tionship with stroke severity scores to RDW-CV.Conclusions: RDW-CV and RDW-SD levels have different prognostic poor outcomes for interpreting in ischemic stroke events approach and these should be used alone and com-paratively with the AIS predictive and prognostic approach.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Background: The erythrocytes distribution indices are reported from same histogram but they have different ref-erence intervals and calculated by distinct measurements.Objectives: To explore whether the RDW-CV and RDW-SD values may predictive and prognostic significance in ischemic stroke patients and to clarify the relation each of these indices with stroke severity and 3-months survival.Materials and methods: Cumulative survival rates were calculated with the Kaplan-Meier method, and life curves were compared to RDW-CV, RDW-SD quartiles. The risk factors were described with a multivariable cox propor-tional hazard model.Results: In acute ischemic stroke, RDW-CV was more spe-cific and RDW-SD was more sensitive (92% vs. 80%) (52% vs. 48%). RDW-CV values higher than 14.7% are associ-ated with 11-fold increase in the risk of stroke; and the level of RDW-CV does show a linear relationship with the severity of stroke. However, when we evaluated RDW-SD, higher 43.55 fL RDW-SD values was have 16-fold increase in severity of stroke and have a relatively high linear rela-tionship with stroke severity scores to RDW-CV.Conclusions: RDW-CV and RDW-SD levels have different prognostic poor outcomes for interpreting in ischemic stroke events approach and these should be used alone and com-paratively with the AIS predictive and prognostic approach.

Özet

Amaç: Eritrosit dağılım indeksleri (RDW-CV ve RDW-SD)aynı histogram grafiğinden rapor edilir. Ancak bunla- rın farklı referans aralıkları vardır ve farklı ölçümlerlehesaplanırlar. Bu çalışmada, iskemik inme hastalarındaeritrosit indekslerinin öngörücü ve prognostik önemiolup olmadığını araştırmak, bu indekslerin her birinininme şiddeti ve 3 aylık sağkalım ile ilişkisini incelemeamaçlandı. Gereç ve Yöntem: Multivariable Cox regresyon hazardmodeli ile iskemik inme için risk faktörleri tanımlandı.Kaplan-Meier yöntemi ile kümülatif sağkalım oranlarıhesaplandı ve RDW-CV ve RDW-SD çeyreklerine göreyaşam eğrileri ile karşılaştırıldı. Bulgular: Akut iskemik inmede RDW-CV daha spesifiktirve RDW-SD daha duyarlıdır (sırasıyla% 92 ve % 80) (% 52ve % 48). %14,7’den yüksek RDW-CV değerleri inme ris- kindeki 11 kat artışla ilişkiliydi ve inme ciddiyeti ile doğ- rusal bir ilişki göstermektedir. 43.55 fL üzerindeki RDW-SDdeğerleri 16 kat daha yüksek tehlike oranlarına sahiptir veRDW-CV’ye göre inme şiddeti skorları ile daha yüksek birdoğrusal ilişki göstermektedir. Sonuç: RDW-CV ve RDW-SD düzeyleri iskemik inmeyeyaklaşımda farklı prognostik kötü sonuçlara sahiptir. Buindeksler AIS öngörücü ve prognostik yaklaşımda tekbaşına ve karşılaştırmalı olarak kullanılmalıdırlar.

🔖

Cite This Article

GÜNAY, N., GÜNAY, N. E. (2022). The distribution indices of erythrocytes:which one for acute ischemic stroke?. Türk Biyokimya Dergisi, Cilt: 45 - Sayı: 1, 65–75. https://ajindex.com/articles/621186

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Benjamin E, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, et al. Heart disease and stroke statistics-2017 update: a report from American Heart Association. Circulation 2017;135:146–e603
  2. VanBussel EF, Jeerakathil T, Schrijvers AJ. The process flow and structure of an integrated stroke strategy. Int J Integr Care 2013;13:25
  3. Panwar B, Judd SE, Warnock DG, McClellan WM, Booth JN, Muntner P, et al. Hemoglobin concentration and risk of incident stroke in community-living adults. Stroke 2016;47:2017–24
  4. Dobrynina LA, Kalashnikova LA, Shabalina AA, Kostyreva MV, Shamtieva KV. Indicators of homeostasis, inflammation and homocysteine in ischemic stroke in young age. Zh Nevrol PsikhiatrIm S SKorsakova 2017;117:25–33
  5. Arevalo-Lorido JC, Carretero-Gomez J, Alvarez-Oliva A, GutierrezMontano C, Fernandez-Recio JM, Najarro-Díez F. Mean platelet volume in acute phase of ischemic stroke, as predictor of mortality and functional outcome after 1 year. J Stroke Cerebrovasc Dis 2013;22:297–303
  6. Pinho J, Marques SA, Freitas E, Araújo J, Taveira M, Alves JN, et al. Red cell distribution width as a predictor of 1-year survival in ischemic stroke patients treated with intravenous thrombolysis. Thromb Res 2018;164:4–8
  7. Chiu NL, Kaiser B, Nguyen YV, Welbourne S, Lall C, Cramer SC. The volume of the spleen and its correlates after acute stroke. J Stroke Cerebrovasc Dis 2016;25:2958–61
  8. Lippi G, Mattiuzzi C, Cervellin G. Learning more and spending less with neglected laboratory parameters: the paradigmatic case of red blood cell distribution width. Acta Biomed 2017;87:323–8
  9. Evans T, Jehle D. The red blood cell distribution width. J Emmerg Med 1991;9:71–4
  10. King GL, Loekan MR. Hyperglycaemia-induced oxidative stress in diabetic complications. Histochem Cell Biol 2004;122:333–8
  11. Tesfamarin B, Cohen RA. Free radicals mediate endothelial cell dysfunction caused by elevated glucose. Am J Physiol 1992;263:321–6
  12. Constantino BT. Red cell distribution width, revisited. Lab Med 2013;44:2–9
  13. Munro BH. Statistical methods for health care research, 5th ed. New York, NY: Lippincott Williams and Wilkins, 2005
  14. Bain BJ, Bates I, Laffan M, Lewis SM, editors. Dacie and Lewis practical haematology, 11th ed. Churchill Livingstone, Elsevier, 2012:14–5
  15. Das S, Chandra Ghosh K, Malhotra M, Yadav U, Sankar Kundu S, Kumar Gangopadhyay P. Short term mortality predictors in acute stroke. Ann Neurosci 2012;19:61–7
  16. Lippi G, Pavesi F, Bardi M, Pipiton