Journals / Türk Yoğun Bakım Dergisi / 2022 / Cilt: 20 - Sayı: 2

Effects of Red Blood Cell Distribution Width on the Outcomes of Patients with Sepsis in Intensive Care Unit: A Retrospective Study

Yoğun Bakım Ünitesinde Septik Hastaların Sonuçları Üzerine Kırmızı Kan Hücresi Dağılım Genişliğinin Değerlendirilmesi: Retrospektif Bir Çalışma

Pages
86–92
Publication Date
2022-11-06
DOI
—
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AI Summary & Key Takeaways

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

Survivors had lower RDW than nonsurvivors (p

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: This study aimed to determine the prognostic value of red cell distribution width (RDW) in patients with sepsis in intensive care unit (ICU).
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Key Findings & Data:Patients’ demographic data; comorbidities; RDW values upon ICU admission, day 3 (RDW3) and day 7 (RDW7); Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score; need for haemodialysis and invasive mechanical ventilation (IMV) were compared between survivors and non-survivors.
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Conclusion & Impact:Survivors had lower RDW than nonsurvivors (p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: This study aimed to determine the prognostic value of red cell distribution width (RDW) in patients with sepsis in intensive care unit (ICU). Materials and Methods: This single centre study includes a retrospective analysis of critically ill patients with sepsis. Patients’ demographic data; comorbidities; RDW values upon ICU admission, day 3 (RDW3) and day 7 (RDW7); Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score; need for haemodialysis and invasive mechanical ventilation (IMV) were compared between survivors and non-survivors. In addition, patients were divided into the following two groups: high RDW (>14.5%) and normal RDW (≤14.5%). Logistic regression analysis was performed to determine independent risk factors for ICU mortality. Results: A total of 102 patients with sepsis were included. Survivors had lower RDW than nonsurvivors (p

Özet

Amaç: Bu çalışmanın amacı yoğun bakım ünitesinde (YBÜ) bulunan septik hastalarda eritrosit dağılım genişliğinin (RDW) prognostik değerini belirlemektir. Gereç ve Yöntem: Bu tek merkezli çalışmada, kritik olan sepsis hastalarının retrospektif bir analizi yer almaktadır. Hastaların demografik verileri, komorbiditeleri, YBÜ’ye kabuldeki RDW, 3. gün (RDW3) ve 7. gün RDW (RDW7) değerleri, Akut Fizyoloji ve Kronik Sağlık Değerlendirmesi-II (APACHE-II) skoru, hemodiyaliz ve invaziv mekanik ventilasyon (IMV) ihtiyacı sağ kalanlar ve vefat edenler arasında karşılaştırıldı. Ayrıca hastalar yüksek (>%14,5) ve normal (≤%14,5) RDW olarak iki gruba ayrıldı. YBÜ mortalitesi için bağımsız risk faktörlerini belirlemek üzere lojistik regresyon analizi yapıldı. Bulgular: Yüz iki septik hasta çalışmaya dahil edildi. Sağ kalanlar, vefat edenlere kıyasla daha düşük RDW’ye sahipti (YBÜ’ye kabuldeki RDW, RDW3 ve RDW7 değerleri, tümü için p

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Cite This Article

KALIN, B. S., SOLMAZ, İ. (2022). Effects of Red Blood Cell Distribution Width on the Outcomes of Patients with Sepsis in Intensive Care Unit: A Retrospective Study. Türk Yoğun Bakım Dergisi, Cilt: 20 - Sayı: 2, 86–92. https://ajindex.com/articles/643343

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References (12)

  1. Shankar-Hari M, Phillips GS, Levy ML, Seymour CW, Liu VX, Deutschman CS, et al. Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016;315:775-87
  2. Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A, et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 2016;315:762-74
  3. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001;29:1303-10
  4. Qiao Q, Lu G, Li M, Shen Y, Xu D. Prediction of outcome in critically ill elderly patients using APACHE II and SOFA scores. J Int Med Res 2012;40:1114-21
  5. Morris M, Davey FR, Henry JB. Basic examination of blood. In Clinical diagnosis and management by laboratory methods. 20th edition. Philadelphia: WB Saunders Company; 2001
  6. Demir A, Yarali N, Fisgin T, Duru F, Kara A. Most reliable indices in differentiation between thalassemia trait and iron deficiency anemia. Pediatr Int 2002;44:612-6
  7. Felker GM, Allen LA, Pocock SJ, Shaw LK, McMurray JJ, Pfeffer MA, et al. Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank. J Am Coll Cardiol 2007;50:40- 7
  8. Zorlu A, Bektasoglu G, Guven FM, Dogan OT, Gucuk E, Ege MR, et al. Usefulness of admission red cell distribution width as a predictor of early mortality in patients with acute pulmonary embolism. Am J Cardiol 2012;109:128-34
  9. Dabbah S, Hammerman H, Markiewicz W, Aronson D. Relation between red cell distribution width and clinical outcomes after acute myocardial infarction. Am J Cardiol 2010;105:312-7
  10. Braun E, Domany E, Kenig Y, Mazor Y, Makhoul BF, Azzam ZS. Elevated red cell distribution width predicts poor outcome in young patients with community acquired pneumonia. Crit Care 2011;15:R194
  11. Kim J, Kim K, Lee JH, Jo YH, Rhee JE, Kim TY, et al. Red blood cell distribution width as an independent predictor of allcause mortality in out of hospital cardiac arrest. Resuscitation 2012;83:1248-52
  12. Turcato G, Cappellari M, Follador L, Dilda A, Bonora A, Zannoni M, et al. Red Blood Cell Distribution Width Is an Independent Predictor of Outcome in Patients Undergoing Thrombolysis for Ischemic Stroke. Sem