Relationship of HbA1c with plasma atherogenic index and non-HDL cholesterol in patients with type 2 diabetes mellitus
International Journal of Diabetes in Developing Countries, cilt.41, sa.2, ss.302-306, 2021 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 41 Sayı: 2
- Basım Tarihi: 2021
- Doi Numarası: 10.1007/s13410-020-00884-7
- Dergi Adı: International Journal of Diabetes in Developing Countries
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts, CINAHL, EMBASE, Veterinary Science Database
- Sayfa Sayıları: ss.302-306
- Anahtar Kelimeler: Diabetes mellitus, Non-HDL cholesterol, Plasma atherogenic index
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Purpose: Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular diseases (CVD). The plasma atherogenic index (PAI) has been suggested as a novel marker of atherosclerosis and coronary heart disease. The present study is conducted to investigate the relationship between glycated hemoglobin (HbA1c), non-HDL (high-density lipoprotein) cholesterol, and atherogenic index within patients with T2DM. Materials and methods: A total of 4252 patients with T2DM were screened retrospectively and parameters including glucose, HbA1c, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglyceride, TSH, age, and gender were recorded. Non-HDL cholesterol and PAI were calculated as follows:PAI=TG÷HDLcholesterolnon−HDL=total cholesterol−HDLcholesterol Results: Mean age was 57.06 ± 11.39 years. Mean HbA1c was 8.49 ± 1.86%, PAI ratio was 4.12 ± 3.88 mg/dl, and mean non-HDL cholesterol was 156.50 ± 45.39 mg/dl. Non-HDL cholesterol (r = 0.427; p < 0.001), HbA1c (r = 0.163; p < 0.001), and glucose (r = 0.154; p < 0.001) showed a significantly positive correlation with PAI. Conclusion: Although a respectable attention is drawn to non-HDL cholesterol based on the present data, PAI may have a stronger relationship with HbA1c in patients with T2DM. PAI may be beneficial in predicting patients who have high risk for CVD in clinical practice.