Journals / International Journal of Medical Biochemistry / 2018 / Cilt: 1 - Sayı: 1

Relationship between red blood cell distribution width and schizophrenia

Pages
15–19
DOI
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⚡ TL;DR(Too Long; Didn't Read)

Conclusion: TRDW, a frequently assessed hematological parameter, may be a useful diagnostic and prognostic marker of schizophrenia, with potential utility in risk estimation and treatment monitoring.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: Schizophrenia is a chronic psychiatric disease.
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Key Findings & Data:Methods: This retrospective study was conducted in the laboratory of the Mental Health Hospital and included data collected between January 2013 and December 2014.
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Conclusion & Impact:Conclusion: TRDW, a frequently assessed hematological parameter, may be a useful diagnostic and prognostic marker of schizophrenia, with potential utility in risk estimation and treatment monitoring.
🔬Design:Research Article
📍Scope:2013 Verileri
⚙️Variables:Domain Parameters

Özet

Objectives: Schizophrenia is a chronic psychiatric disease. The present study is a comparison of red blood cell distribution width (RDW) values in schizophrenia patients with those of a control group performed to examine the effect of inflammation on the pathogenesis of schizophrenia. Methods: This retrospective study was conducted in the laboratory of the Mental Health Hospital and included data collected between January 2013 and December 2014. All patients who were diagnosed with schizophrenia were included in the study. RDW was examined using a Mindray BC 3000 Plus instrument (Mindray Bio-Medical Electronics Co. Ltd., Shenzen, China) using the electrical impedance method. Statistical analyses were conducted using the Kolmogorov- Smirnov test, Student’s t-test, the Mann-Whitney U-test, chi-square analysis, or Fisher’s exact test. Results: The red cell distribution width standard deviation value was statistically significantly higher in the schizophrenia group than in the control group (48.43±5.14 fL and 43.75±4.66 fL; p<0.001). Similarly, patients with schizophrenia displayed elevated red cell distribution width coefficient of variation compared with the controls (14.14%±1.16% and 13.71%±1.39%; p<0.001). Conclusion: TRDW, a frequently assessed hematological parameter, may be a useful diagnostic and prognostic marker of schizophrenia, with potential utility in risk estimation and treatment monitoring.

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Cite This Article

AYYILDIZ, H., KARABULUT, N., KALAYCI, M. (2018). Relationship between red blood cell distribution width and schizophrenia. International Journal of Medical Biochemistry, Cilt: 1 - Sayı: 1, 15–19. https://ajindex.com/articles/162399

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References (16)

  1. Tandon R, Nasrallah HA, Keshavan MS. Schizophrenia, "just the facts
  2. Clinical features and conceptualization. Schizophr Res 2009;110:1–23
  3. Miller BJ, Buckley P, Seabolt W, Mellor A, Kirkpatrick B. Metaanalysis of cytokine alterations in schizophrenia: clinical status and antipsychotic effects. Biol Psychiatry 2011;70:663–71
  4. Ganguli R, Gubbi A. Clinical and immunological characteristics of a subgroup of patients suffering from schizophrenia. In: Henneber AE, Kaschka WP, editors. Immunological Alterations in Psychiatric Diseases. Adv Biol Psychiatry. Vol
  5. Basle: Karger; 1997. p. 35–43
  6. Miller BJ, Culpepper N, Rapaport MH. C-reactive protein levels in schizophrenia: a review and meta-analysis. Clin Schizophr Relat Psychoses 2014;7:223–30
  7. Miller BJ, Gassama B, Sebastian D, Buckley P, Mellor A. Metaanalysis of lymphocytes in schizophrenia: clinical status and antipsychotic effects. Biol Psychiatry 2013;73:993–9
  8. Najjar S, Pearlman DM, Alper K, Najjar A, Devinsky O. Neuroinflammation and psychiatric illness. J Neuroinflammation 2013;10:43
  9. Raison CL, Miller AH. Is depression an inflammatory disorder? Curr Psychiatry Rep 2011;13:467–75
  10. Bessman JD, Gilmer PR Jr, Gardner FH. Improved classification of anemias by MCV and RDW. Am J Clin Pathol 1983;80:322–6
  11. Inci Y. Kan Sayiminda Otomasyon Parametreleri. IU Cerrahpasa Tip Fakultesi Surekli Tip Egitimi Etkinlikleri 2001:117–25
  12. Tziakas D, Chalikias G, Grapsa A, Gioka T, Tentes I, Konstantinides S. Red blood cell distribution width: a strong prognostic marker in cardiovascular disease: is associated with cholesterol content of erythrocyte membrane. Clin Hemorheol Microcirc 2012;51:243–54
  13. 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
  14. Sánchez-Chaparro MA, Calvo-Bonacho E, González-Quintela A, Cabrera M, Sáinz JC, Fernández-Labandera C, et al. Higher red blood cell distribution width is associated with the metabolic syndrome: results of the Ibermutuamur CArdiovascular RIsk assessment study. Diabetes Care 2010;33:e40
  15. Ma FL, Li S, Li XL, Liu J, Qing P, Guo YL, et al. Correlation of red cell distribution width with the severity of coronary artery disease: a large Chinese cohort study from a single center. Chin Med J (Engl) 2013;126:1053–7
  16. Mucsi I, Ujszaszi A, Czira ME, Novak M, Molnar