Journals / KONURALP TIP DERGİSİ / 2020 / Cilt: 12 - Sayı: 3

Examination of Systemic Inflammation Related Hemogram Biomarkers in Children and Adolescents with Generalized Anxiety Disorder

Yaygın Anksiyete Bozukluğu Olan Çocuk ve Ergenlerde Sistemik İnflamasyon İlişkili Hemogram Biyobelirteçlerinin İncelenmesi

Pages
534–538
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)

Conclusion: Platelet parameters that have been postulated to be associated with inflammation, such as MPV and PDW may be related to possible inflammatory background of GAD in children and adolescents and comprehensive prospective studies are required on this subject.An Erratum to this article was published on 17 March 2021. https://dergipark.org.tr/en/pub/ktd/issue/60658/897382

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: In this study, we aimed to examine the complete blood count parameters and blood-based systemic inflammatory markers in children with generalized anxiety disorder (GAD).
📊
Key Findings & Data:Method: Retrospectively, complete blood count of 48 GAD diagnosed children and adolescents and age-gender matched 46 healthy controls were compared in terms of hemoglobin (Hb), erythrocyte distribution width (RDW), platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), white blood cell count (WBC), neutrophil, lymphocyte and monocyte counts and neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), and platelet to lymphocyte ratios (PLR).
💡
Conclusion & Impact:Conclusion: Platelet parameters that have been postulated to be associated with inflammation, such as MPV and PDW may be related to possible inflammatory background of GAD in children and adolescents and comprehensive prospective studies are required on this subject.An Erratum to this article was published on 17 March 2021. https://dergipark.org.tr/en/pub/ktd/issue/60658/897382
🔬Design:Research Article
📍Scope:2021 Verileri
⚙️Variables:Anksiyete bozukluğu · İnflamasyon · Hemogram

Abstract

Objective: In this study, we aimed to examine the complete blood count parameters and blood-based systemic inflammatory markers in children with generalized anxiety disorder (GAD). Method: Retrospectively, complete blood count of 48 GAD diagnosed children and adolescents and age-gender matched 46 healthy controls were compared in terms of hemoglobin (Hb), erythrocyte distribution width (RDW), platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), white blood cell count (WBC), neutrophil, lymphocyte and monocyte counts and neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), and platelet to lymphocyte ratios (PLR). Chi-square test, independent samples t-test and Mann-Whitney U test were used for statistical evaluation. Results: MPV levels were found to be significantly higher (p=0.020), while PLT and PDW levels were found to be significantly lower (p=0.018 and p=0.011, respectively) in children and adolescents with GAD. There was no statistically significant difference in terms of hemoglobin (Hb), erythrocyte distribution width (RDW), plateletcrit (PCT), white blood cell count (WBC), neutrophil, lymphocyte and monocyte counts and neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratios (PLR) between case and control groups. Conclusion: Platelet parameters that have been postulated to be associated with inflammation, such as MPV and PDW may be related to possible inflammatory background of GAD in children and adolescents and comprehensive prospective studies are required on this subject.An Erratum to this article was published on 17 March 2021. https://dergipark.org.tr/en/pub/ktd/issue/60658/897382

Özet

Amaç: Bu çalışmada yaygın anksiyete bozukluğu olan (YAB) çocuk ve ergenlerde tam kan sayımından bakılan sistemik inflamasyon biyo-belirteçlerinin düzeylerinin incelenmesi amaçlanmıştır.Yöntem: Retrospektif olarak 48 YAB tanılı çocuk ergen ile yaş-cinsiyet açısından eşleştirilmiş 46 sağlıklı kontrol çocuk ve ergenin tam kan sayımı sonuçları; hemoglobin (Hb), eritrosit dağılım genişliği (RDW), trombosit sayısı (PLT), ortalama trombosit hacmi (MPV), trombosit dağılım genişliği (PDW), plateletkrit (PCT), beyaz kan hücre sayımı (WBC), nötrofil, lenfosit ve monosit sayıları ve nötrofil / lenfosit oranı (NLR), monosit / lenfosit oranı (MLR), trombosit / lenfosit oranları (PLR) açısından karşılaştırıldı. İstatistiksel değerlendirmede ki-kare testi, bağımsız örneklemler t-testi ve Mann-Whitney U testi kullanıldı. Bulgular: YAB olan çocuk ve ergenlerde, MPV düzeyleri anlamlı olarak yüksek (p = 0,020) ve PLT ve PDW düzeyleri anlamlı olarak düşük (sırasıyla p = 0,018 ve p = 0,011) bulundu. Hb, RDW, PCT, WBC, nötrofil, lenfosit ve monosit sayıları, NLR, MLR, PLR açısından olgu ve kontrol grupları arasında istatistiksel olarak anlamlı bir farklılık saptanmadı.Sonuç: MPV ve PDW gibi inflamasyonla ilişkili olduğu öne sürülen trombosit parametreleri, çocuk ve ergenlerde YAB'nin olası inflamatuar arka planıyla ilişkili olabilir ve bu konuda kapsamlı ileriye dönük çalışmalara ihtiyaç vardır.Bu makale için 17-03-2021 tarihinde bir düzeltme yayınlandı. https://dergipark.org.tr/tr/pub/ktd/issue/60658/897382

🔖

Cite This Article

Nihal, N., ŞAHİN, İ. E. (2020). Examination of Systemic Inflammation Related Hemogram Biomarkers in Children and Adolescents with Generalized Anxiety Disorder. KONURALP TIP DERGİSİ, Cilt: 12 - Sayı: 3, 534–538. https://ajindex.com/articles/199565

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Bronsard G, Alessandrini M, Fond G, Loundou A, Auquier P, Tordjman S, et al. The Prevalence of Mental Disorders Among Children and Adolescents in the Child Welfare System: A Systematic Review and Meta-Analysis. Medicine (Baltimore). 2016;95(7):e2622
  2. Ercan ES, Polanczyk G, Akyol Ardıc U, Yuce D, Karacetın G, Tufan AE, et al. The prevalence of childhood psychopathology in Turkey: a cross-sectional multicenter nationwide study (EPICPAT-T). Nord J Psychiatry. 2019;73(2):132-140
  3. Essau CA, Conradt J, Petermann F. Frequency, comorbidity, and psychosocial impairment of anxiety disorders in German adolescents. J Anxiety Disord 2000;14:263–279
  4. Cole DA, Peeke LG, Martin JM, Truglio R, Seroczynski AD. A longitudinal look at the relation between depression and anxiety in children and adolescents. J Consult Clin Psychol 1998;66:451–460
  5. Renna ME, O'Toole MS, Spaeth PE, Lekander M, Mennin DS. The association between anxiety, traumatic stress, and obsessive–compulsive disorders and chronic inflammation: A systematic review and meta‐analysis. Depression and anxiety. 2018;35(11):1081-1094
  6. Felger JC. Imaging the Role of Inflammation in Mood and Anxiety-related Disorders. Curr Neuropharmacol. 2018;16(5):533-558
  7. Miller BJ, Goldsmith DR. Towards an immunophenotype of schizophrenia: progress, potential mechanisms, and future directions. Neuropsychopharmacology. 2017;42(1):299-317
  8. Bankier B, Barajas J, Martinez-Rumayor A, Januzzi JL. Association between C-reactive protein and generalized anxiety disorder in stable coronary heart disease patients. Eur Heart J. 2008;29(18):2212-2217
  9. Mazza MG, Rossetti A, Clerici M. A review of neutrophil-lymphocyte, monocyte-lymphocyte, and platelet-lymphocyte ratios use in psychiatric disorders. World J Depress Anxiety 2018: 1(1):1002
  10. Özyurt G, Binici NC. The neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in adolescent obsessive-compulsive disorder: Does comorbid anxiety disorder affect inflammatory response?. Psychiatry Res. 2019;272:311-315
  11. Walss-Bass C, Suchting R, Olvera RL, Williamson DE. Inflammatory markers as predictors of depression and anxiety in adolescents: Statistical model building with component-wise gradient boosting. J Affect Disord. 2018;234:276-281
  12. Almis Behice Han, Aksoy Ihsan. Mean platelet volume level in patients with generalized anxiety disorder. Psychiatry and Clinical Psychopharmacology, 2018; 28(1): 43-47
  13. Kokacya MH, Copoglu US, Kivrak Y, Ari M, Sahpolat M,