Insulin resistance, metabolic syndrome and micro-RNA-122 serum level in patients with cerebral venous sinus thrombosis: a case-control study

脑静脉窦血栓形成患者胰岛素抵抗、代谢综合征及血清微小RNA-122水平:病例对照研究

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作者:Mohammed I Oraby, Manar M Haddad, Mona Nasser, Mona Hussein

Background

The relationship between venous thromboembolism and both insulin resistance and metabolic syndrome is still a matter of debate. The

Conclusion

There is a significant association between CVST and both insulin resistance and metabolic syndrome.

Methods

This case-control study was conducted on patients having a clinical and neuroimaging diagnosis of acute CVST (within 1 week from the onset). Patients with inconclusive brain imaging, those with a history of malignancy, diabetic patients, and patients on drugs known to affect the insulin sensitivity or lipid profile were excluded from the study. Metabolic syndrome in the included cases and controls was evaluated by measuring waist circumference and blood pressure in addition to assessment of Triglycerides, HDL, and fasting blood sugar. The state of insulin resistance was established if the Homeostasis model assessment-insulin resistance (HOMA-IR) value > 2.5. Serum micro-RNA-122 serum level was measured for both patients and controls.

Results

In the present study, 36 cases diagnosed as having CVST and 34 age & sex matched controls were included. There were statistically significant differences between patients with CVST and controls regarding BMI, waist circumference, TG, fasting glucose, fasting insulin & HOMA- IR (P-value = 0.002, 0.001, 0.004, 0.003, 0.021, 0.008 respectively). There was no statistically significant difference between patients with CVST and controls regarding micro-RNA-122 serum level (P-value = 0.376), whereas CVST patients with insulin resistance had a significantly higher micro-RNA-122 serum level in comparison to those without (P-value < 0.001). Patients with CVST had a significantly higher frequency of both metabolic syndrome and insulin resistance in comparison to controls (P-value = 0.008, 0.002 respectively).

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