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    THE COMPARISON OF VITAMIN D LEVELS OF HEALTHY AND GESTATIONAL DIABETIC PREGNANT WOMEN
    (Derman Medical Publ, 2017) Pekgor, Selma; Basaran, Mustafa; Cihan, Fatma Goksin; Pekgor, Ahmet
    Aim: To evaluate and compare 25-hydroxyvitamin D [25(OH)D3] levels of women with gestational diabetes mellitus (GDM) and those with normal glucose tolerance (NGT). Material and Method: A total of 40 women (20 with GDM and 20 with NGT) admitted to the clinic of obstetrics and gynecology due to follow-ups between the 24th and 28th gestational weeks and exposed to 50 and/or 100 gr oral glucose tolerance testing (OGTT) were enrolled into this prospective case-controlled study. Patients with GDM and controls with NGT were defined according to the 2013 criteria of the American College of Obstetricians and Gynecologists (ACOG). Age, height, weight, body mass index (BMI), history of previous diseases and surgeries, vitamin D replacement, clothing style (in this region 95% of participants dress in a style that prevents the sun from reaching skin) exercising status, and familial history were recorded. Serum samples were collected between the 24th and 28th gestational weeks to measure 25(OH)D3 levels via the chemiluminescence method. Results: Mean 25(OH)D3 levels were found as 8.71 +/- 3.36 ng/mL (ranging from 4.20 to 18.84). Vitamin D deficiency (< 10 ng/mL) and insufficiency( 10-30 ng/ml) were observed at the rate of 70% and 30%, respectively. 25(OH)D3 levels were 9.40 +/- 3.53ng/mL in patients with GDM and 8.0 +/- 3.11 ng/mL in controls with NGT. In terms of vitamin D deficiency, no statistically significant difference was found between the GDM and NGT groups. Discussion: 25(OH)D3 levels were found to be similar or lower in patients with GDM and those with NGT. We consider that prospective, randomized-controlled and comprehensive studies with larger populations are needed to illuminate the role of 25(OH)D3 levels in the development of GDM.
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    A New Method for the Prevention of Pre-Analytical Errors due to Hemolysis: Intensive Training
    (Clin Lab Publ, 2016) Yazar, Hayrullah; Yucel, Murat; Bozkurt, Berna; Pekgor, Ahmet; Kadilar, Ozlem
    Background: Our aim was to compare the routine training (RT) method with the intensive training (IT) method, described for the first time by our group, for preventing pre-analytical errors in induced hemolysis. Methods: At two months, either RT or IT methods were introduced, and data collected in the second two months were compared with the initial two months to assess changes in the number of samples rejected. Working groups were formed according to the methods of training, clinics, and services. Group I contained only the emergency clinic and services. Group II included other polyclinics and services. In this study, Group I followed the IT method and Group II followed the RT method. Training and supervision were conducted during regular office hours every weekday. In this study, the percentage of errors in the different groups of the pre-analytical samples that underwent hemolysis was evaluated using the error correction ratio. The effectiveness of training in the groups was compared. Results: The incidence of hemolysis in the samples showed a significant decline when the IT method was followed. The hemolysis frequency using the RT method had decreased compared to previous training. Both results were statistically significant. A further result of the study was a reduction in the incidence of the hemolysis ratio when comparing Groups I and II; the IT method was more effective than the RT method. Conclusions: The IT method is effective in preventing hemolysis-induced pre-analytical errors.
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    A new zero-inflated discrete Lindley regression model
    (Taylor & Francis Inc, 2023) Tanis, Caner; Koc, Haydar; Pekgor, Ahmet
    Recently, providing a new count regression model is very popular for many researchers. These count regression models are constructed by using a new discrete distribution or one of the existing distributions in the literature. In this paper, we consider a new zero-inflated regression model as an alternative to the zero-inflated regression models. We present two real data applications to illustrate the usefulness of the suggested regression model in modeling data, and compare the competitor models such as Poisson, discrete Lindley, and zero-inflated regression models. We provide a new count regression model which is useful in modeling overdispersed data.
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    Refractive errors in patients with newly diagnosed diabetes mellitus
    (Professional Medical Publications, 2015) Yarbag, Abdulhekim; Yazar, Hayrullah; Akdogan, Mehmet; Pekgor, Ahmet; Kaleli, Suleyman
    Background and Objective: Diabetes mellitus is a complex metabolic disorder that involves the small blood vessels, often causing widespread damage to tissues, including the eyes' optic refractive error. In patients with newly diagnosed diabetes mellitus who have unstable blood glucose levels, refraction may be incorrect. We aimed to investigate refraction in patients who were recently diagnosed with diabetes and treated at our centre. Methods: This prospective study was performed from February 2013 to January 2014. Patients were diagnosed with diabetes mellitus using laboratory biochemical tests and clinical examination. Venous fasting plasma glucose (fpg) levels were measured along with refractive errors. Two measurements were taken: initially and after four weeks. The last difference between the initial and end refractive measurements were evaluated. Results: Our patients were 100 males and 30 females who had been newly diagnosed with type II DM. The refractive and fpg levels were measured twice in all patients. The average values of the initial measurements were as follows: fpg level, 415 mg/dl; average refractive value, +2.5 D (Dioptres). The average end of period measurements were fpg, 203 mg/dl; average refractive value, +0.75 D. There is a statistically significant difference between after four weeks measurements with initially measurements of fasting plasma glucose (fpg) levels (p<0.05) and there is a statistically significant relationship between changes in fpg changes with glasses ID (p<0.05) and the disappearance of blurred vision (to be greater than 50% success rate) were statistically significant (p<0.05). Also, were detected upon all these results the absence of any age and sex effects (p>0.05). Conclusions: Refractive error is affected in patients with newly diagnosed diabetes mellitus; therefore, plasma glucose levels should be considered in the selection of glasses.
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    Transmuted Lower Record Type Frechet Distribution with Lifetime Regression Analysis Based on Type I-Censored Data
    (Atlantis Press, 2021) Tanis, Caner; Saracoglu, Bugra; Kus, Coskun; Pekgor, Ahmet; Karakaya, Kadir
    This paper introduces a new lifetime distribution by mixing the first two lower record values and various distributional properties are examined. Statistical inference on distribution parameters are discussed with five estimators. A Monte Carlo simulation study is carried out to evaluate the risk behavior of these estimators for different sample of sizes. The distribution modeling analysis is provided based on real data to demonstrate the fitting ability of the proposed model. In addition, a lifetime regression model is described by re-parameterization on the log lifetimes. The superiority of proposed regression model is revealed in well-known models. (C) 2021 The Authors. Published by Atlantis Press B.V.
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    Visceral Adiposity Index Levels in Patients with Hypothyroidism
    (Natl Med Assoc, 2018) Pekgor, Selma; Duran, Cevdet; Kutlu, Ruhusen; Solak, Ibrahim; Pekgor, Ahmet; Eryilmaz, Mehmet Ali
    Objective: To assess visceral adiposity index (VAI) as a sign of cardio-vascular diseases (CVD) in hypothyroidism patients and to compare CVD risks in overt or subclinical hypothyroidism patients. Materials and methods: Sixty-eight hypothyroidism patients (29 with overt and 39 with subclinical hypothyroidism) and 33 age- and gender-matched control patients were included. VAI levels were calculated with the following formula: (waist circumference (WC)/[36.58+(1.89xbody mass index (BMI))])x[(triglyceride (TG) (mmol/L)/0.81)x(1.52xhigh-density lipoprotein cholesterol (HDL-cholesterol) (mmol/L))] and (WC/[39.68+(1.88xBMI)])x[(TG (mmol/L)/1.03)x(1.31xHDL-cholesterol (mmol/L))], respectively. Results: While body weight (p < 0.01), BMI (p < 0.01), TG and VAI levels (p < 0.01) were higher in hypothyroidism patients than controls, HDL-cholesterol levels were lower (p = 0.02). When patients were divided to groups as subclinical (n = 39) and overt hypothyroidism (n = 29) and compared with each other and controls (n = 33), body weight (p = 0.02 and p = 0.02, respectively), BMI (p = 0.01 and p < 0.01, respectively) and TG (p < 0.01 and p = 0.03, respectively) were higher in overt and subclinical hypothyroidism groups than controls. HDL-cholesterol was lower only in the group with overt hypothyroidism than controls (p = 0.01). Although found similar to each other in overt and subclinical hypothyroidism groups, VAI levels were observed to be higher in both groups than controls (p < 0.01 and p = 0.02, respectively). In correlation analysis, a positive correlation was determined between thyroid stimulating hormone (TSH), BMI and VAI levels (p = 0.03 and p < 0.01, respectively). Conclusions: Due to the association between increased VAI levels, and metabolic syndrome and CVDs, we consider that several measures should be promptly taken to decrease these risk factors, and further studies with a larger sample size should be performed.