@article{article_316368, title={Assessment of the relationship between insulin resistance, atherogenic index of plasma and white blood cell count: A data mining study}, journal={Cumhuriyet Medical Journal}, volume={39}, pages={479–486}, year={2017}, DOI={10.7197/223.v39i29491.316368}, url={https://izlik.org/JA52PB93UT}, author={Dogan, Halef Okan and Duman, Gülhan}, keywords={Atherogenic index of plasma,WBC count,Insulin resistance,Triglyceride,HDL}, abstract={<p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;line-height:normal;"> <b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">Objective </span> </b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">: The hyperinsulinemic-euglycemic clamp
tests considered as a gold standard method for assessing the insulin
sensitivity, whereas the application of this test in large groups is both
difficult and not practical, therefore clinicians need calculating parameters
to evaluate the insulin sensitivity. In the study we evaluated the prediction
of insulin resistance (IR) by atherogenic index of plasma (AIP) and WBC count. </span> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;line-height:normal;"> <b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">Method </span> </b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">: We retrospectively reviewed the
records of 139.934 individuals admitted to our hospital from March 2015 to
March 2016.  474 individuals were
enrolled in our study. Study population’s records such as age, gender, white
blood cell (WBC) count and the concentrations of overnight fasting blood
glucose, triglyceride (TG), total cholesterol (TCHOL), HDL-C, low density
lipoprotein cholesterol (LDL-C) and insulin were recorded from our hospital
information system. </span> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;line-height:normal;"> <b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">Results </span> </b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">: The receiver operating characteristic
curves (AUC) of AIP for predicting IR were 0.670 and 0.690 as measured by
homeostatic model assessment-insulin resistance (HOMA-IR) and insulin
sensitivity check index (QUICKI), respectively. The area under the curve (AUC)
values for predicting IR with WBC count were 0.649 and 0.652 as measured by HOMA-IR
and QUICKI, respectively. </span> </p> <p> </p> <p> </p> <p class="MsoNormal" style="margin-bottom:.0001pt;text-align:justify;line-height:normal;"> <b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">Conlusions </span> </b> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">: Negative predictive values of AIP and
WBC were found higher than positive predictive values as measured HOMA-IR. AIP
and WBC may not serve as a predictor of IR lonely but these markers might be
used as surrogate markers may contribute to excluding IR when used in
combination with HOMA-IR and QUICKI. </span> </p> <p> </p>}, number={2}