Basit Bir Tam Kan Sayımı Gestastonel Diyabetes Mellitusu Öngörebilir Mi?

Year 2020, Volume: 10 Issue: 3, 336 - 341, 30.09.2020

Pelin Aytan , Seyran Bozkurt Babuş , Özde Sakarya , Revan Sabri Çiftçi , Hakan Aytan

https://doi.org/10.16899/jcm.797615

Cited By: 1

Abstract

Amaç: Basit bir tam kan sayımının (TKS) gestasyonel diyabetus mellitus (GDM) öngörüsündeki rolünü değerlendirmek
Gereç ve Yöntem: Ocak 2018-Ocak 2020 yılları arasında 24-28. Gebelik haftalarında 75g oral glukoz tolerans testi ile GDM taraması yapılan gebeler retrospektif olarak değerlendirildi. Bilinen sistemik hastalığı olan, aspirin, düşük-molekül-ağırlıklı heparin veya steroid kullanan hastalar elendi. TKS içinde hemoglobin, hematokrit, eritrositler, ortalama korpüsküler hacim ve hemoglobin konsantrasyonu, lökositler (nötrofil, lenfosit, bazofil, monosit, eozinofil dahil), trombositler, trombosit dağılım genişliği, ortalama trombosit hacmi, kırmızı-hücre dağılım genişliği (RDW), çekirdekli kirmizi kan hücreleri (ÇKKH) ve yüzdesi, plateletkrit, trombosit büyük hücre oranı ve immatür granülosit ve yüzdesi mevcuttu. Trombosit kütle indeksi (TKİ), nötrofil-trombosit (NTO) ve lenfosit-trombosit oranları (LTO) hesaplandı. Bu parametreler GDM olan ve olmayan hastalarda karşılaştırıldı. GDM ile anlamlı korelasyon gösteren parametrelerle regresyon analizi yapıldı. Eşik değer hesaplaması ROC eğrisi analizi ile yapıldı.
Bulgular: Eritrositler, lökositler (immatür granülosit dahil tüm alt gruplar), TKİ, NTO ve PTO da dahil trombosit indeksleri gruplarda benzerdi. Sadece RDW ve ÇKKH, GDM’li hastalarda anlamlı olarak yüksek olarak bulundu ve bu parametreler yaş ve tarama haftası ile birlikte GDM için bağımsız prediktörler olarak tespit edildi.
Sonuç: Bu sonuçlar GDM’li hastalarda RDW ve ÇKKH seviyelerinin artmış olduğunu, bu parametrelerin GDM için bağımsız prediktörler olarak görüldüğünü ve GDM gelişmesinin izleminde ve değerlendirilmesinde kullanılabileceğini göstermektedir.

Keywords

Gestasyonel diyabetes mellitus, çekirdekli kırmızı kan hücresi, kırmızı hücre dağılım genişliği, platelet indeksleri, tam kan sayımı

Supporting Institution

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Thanks

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Can A Simple Complete Blood Count Predict Gestational Diabetes Mellitus?

Abstract

Aim: To assess the role of simple complete blood count (CBC) in prediction of gestational diabetes (GDM).
Materials and Methods: Pregnant women screened for GDM in 24-28 gestational weeks with a 75g-OGTT between January 2018-January 2020 were retrospectively investigated. Patients with a known systemic disease, using aspirin, low-molecular-weight heparin and steroids excluded. The assessed parameters in CBC were hemoglobin, hematocrit, red blood cells, mean corpuscular volume, mean corpuscular hemoglobin concentration, white blood cells (including neutrophils, lymphocytes, monocytes, eosinophils, basophils), platelets, platelet distribution width (PDW), mean platelet volume (MPV), red cell distribution width (RDW), nucleated red blood cell (NRBC), NRBC percentage, plateletcrit (PCT), platelet large cell ratio (P-LCR), immature granulocytes (IG) and IG percentage. Platelet mass index (PMI), neutrophil-to-platelet ratios (NPR) and lymphocyte-to-platelet ratios (LPR) were calculated. These parameters were compared between GDM patients and controls. Regression analysis was performed with the parameters that were significantly correlated with GDM. ROC curve analysis was done in order to find cut-off values.
Results: RBC, WBC (all subtypes including immature granulocytes), platelet indices including PMI, NPR and LPR were all similar. Only RDW and NRBC were found to be significantly increased in GDM patients and came out to be independent predictors of GDM with maternal age and screening week.
Conclusion: These findings suggest women with GDM may be accompanied with increased RDW and NRBC levels which seem to be independent predictors of this disease and these parameters may be used to monitor and evaluate the development of GDM.

Keywords

Gestational diabetes mellitus, nucleated red blood cell, red cell distribution width, platelet indices, complete blood count

Project Number

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