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    Can insulin resistance be predicted with vitamin B12, ferritin, vitamin D and demographic information using machine learning algorithms?
    (2024) Yigit, Meltem; Seçgın, Yusuf; Oner, Zulal; Olukman, Ozgur
    In this study, we aimed to investigate the relationship between insulin resistance and vitamin D, vitamin B12 and ferritin levels. Between January 2022 and October 2023, 322 patients (133 females, 189 males) between the ages of 3-16 years who were admitted to the Pediatrics outpatient clinics of İzmir Bakırçay University Çiğli Training and Research Hospital were included. Pediatric patients with no known chronic disease and measured vitamin B12, vitamin D, ferritin and HOMA- IR levels were retrospectively included in the study. Individuals with HOMA-IR<2.5 were considered as (normal) controls and those with HOMA-IR≥2.5 were considered as insulin resistant children. HOMA-IR groups were predicted with an accuracy rate of 0.80 with the Random Forest (RF) algorithm, one of the machine learning algorithms. In addition, the highest contribution of RF to the determination of HOMA-IR with the SHAP analyzer was found to be provided by age, followed by vitamin B12. The results of the study revealed that vitamin B12, vitamin D, ferritin level and age are important factors on insulin resistance. Early vitamin D, vitamin B12 and ferritin replacement is important for the control of metabolic diseases in the future.
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    Is There a Relationship between Insulin Resistance and Eosinophil, Inflammatory Parameters Neutrophil to lymphocyte ratio, C-Reactive Protein Values?
    (2024) Yigit, Meltem; Olukman, Ozgur
    Aim: The relationship between insulin resistance and inflammation and atopy is a matter of curiosity and various studies have been conducted. Study results show differences. We aimed to evaluate the relationship between insulin resistance and inflammation and atopy using C-Reactive Protein (CRP) and Neutrophil to lymphocyte ratio (NLR) as eosinophils and inflammatory indices and to determine whether the low-cost hemogram can be used as a reliable marker. Material and Method: Between May 2022 and November 2023, 1566 children admitted to the Pediatrics outpatient clinics of İzmir Bakırçay University Çiğli Training and Research Hospital were retrospectively screened. A total of 349 pediatric patients without any known chronic disease and with complete blood count, CRP and HOMA-IR levels were retrospectively included in the study. Results: Individuals with HOMA-IR<2.5 were considered as control group and those with HOMA-IR≥2.5 were considered as children with insulin resistance. As a result of Mann-Whitney-U test performed according to HOMA-IR groups, age and NLR parameters were found to be higher in the group with insulin resistance. This result was statistically significant (p<0.05). The results were not significant in eosinophil (p=0.324) and CRP (p=0.352) parameters. Conclusion: NLR value may be a credible predictive marker of insulin resistance. Inexpensive and simple complete blood count measurement may help in the early diagnosis of Type 2 DM and in the design of treatments. In addition, due to the increasing risk of insulin resistance with age, education on conscious nutrition can be given in schools during adolescence.