For this current study, our aims were to investigate the relationships between HbA1c with
neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) which are accepted as new
markers of systemic inflammation and the relationships between HbA1c with CRP and sedimentation,
which are accepted as strong inflammation markers in healthy, prediabetic and diabetic groups.
Materials and Method: Our study was conducted retrospectively from the results of patients who
applied to our hospital. Patients, who had glucose, HbA1c, CRP, sedimentation and whole blood test
results, were recruited for the research. NLR was calculated by the ratio of the absolute numbers of
neutrophils and lymphocytes to each other and PLR was calculated by the ratio of platelets and
lymphocytes to each other in whole blood count test result. Patients were divided into 3 groups as
normal (HbA1c <6%), prediabetes (HbA1c 6 - 6.4%) and diabetic (HbA1c ≥ 6.5%).
Results: There were statistically significant differences in glucose, CRP, sedimentation, and absolute
numbers of neutrophil values (p<0.001, p<0.05, p<0.05 ve p<0.05 respectively) whereas there were
no statistically significant differences in absolute lymphocyte count, platelet count, NLR and PLR values
between prediabetic, diabetic and control groups. For the tests with differences between the groups
when the healthy-prediabetic group is considered there were significant differences for glucose, CRP,
sedimentation, and neutrophil count (p<0.05), when the healthy-diabetic group is considered there
were significant differences for glucose and CRP (p<0.01 ve p<0.05) and when the prediabetic-diabetic
group is considered there was a significant difference only for glucose level (p<0.01).
Conclusion: We investigated the relationship between HbA1c values and inflammation markers which
are NLR, PLR, CRP and sedimentation in our study. There was no relation between HbA1c and NLR, PLR,
sedimentation while there was a relationship between HbA1c and CRP which is a strong inflammatory
marker. This suggests that more time and more data are needed for the NLR and PLR values to be
routinely used in clinical practice.