Abstract

Background: Cell Blood Count (CBC) are performed with automatic analyzers in laboratories, despite the speed and accuracy of cell counting devices in the analysis of blood samples, several confounding factors may influence their outcomes. This study was performed to assess the effect of hyperlipidemia and hyperglycemia patterns on the results of complete blood cell count (CBC). Materials and Methods: This analytical study (case-control) was performed among 270 non-anemic patients, who were divided into five groups: 1) cholesterol above 200 mg/dl, 2) triglycerides above 150 mg/dl, 3) cholesterol above 200 mg/dl and low-density lipoprotein (LDL) over 130 mg/dl and triglycerides above 150 mg/dl, 4) FBS above 100 mg/dl, and 5) cholesterol above 200 mg/dl and triglycerides above 150 mg/dl. The blood cell indices were compared with the control group. After obtaining samples from the participants, the level of FBS, blood lipids and complete blood cell count were measured. Finally, statistical analysis and comparison between the two groups were performed with SPSS, (version24). Results: Comparison between the case and control groups separately in each of the groups showed the following results: 1- WBC in the group with high cholesterol level were significantly higher than the control group (P<0.05). 2- RBC, PLT, MCV, and MCH in the group with high triglycerides were significantly higher than the control group (P<0.05). 3- RBC, WBC, and PLT in patients with high cholesterol and triglyceride levels were higher than the control group (P<0.05). 4- MCV in the group with high FBS were significantly higher than the control group (P<0.05) 5- MCV in the group with high FBS, cholesterol and triglyceride levels were significantly higher than the control group (P<0.05). Conclusion: Our study showed that hyperglycemia and hyperlipidemia patterns clearly increased blood cell indices. Therefore, these patterns should be considered as a confounding factor in the interpretation of complete blood cell count.