The prevalence of aspirin resistance in patients with metabolic syndrome.
OBJECTIVE
Aspirin is recommended for primary prevention in patients with metabolic syndrome (MetS). In this study, we evaluated aspirin resistance in MetS patients.


METHODS
The study included 32 patients (23 males, 9 females; mean age 60.7+/-11.4 years) with the diagnosis of MetS, according to the criteria of the International Diabetes Federation. Aspirin resistance was determined by the PFA-100 analysis (Platelet Function Analyzer). The results were compared with a control group of 30 patients (16 males, 14 females; mean age 61.6+/-7.3 years) without MetS. All the patients were taking aspirin at the time of the PFA-100 analysis.


RESULTS
Overall, 21 patients (33.9%) were aspirin nonresponders. The prevalence of aspirin resistance was 46.9% in the MetS group, and 20% in the control group. The difference between the two groups was statistically significant (p=0.033). Compared to aspirin responders, fasting blood glucose level was higher (102.0+/-14.6 mg/dl vs. 95.3+/-9.9 mg/dl; p=0.036) and waist circumference tended to be greater in nonresponders (97.4+/-14.1 cm vs. 89.7+/-15.0 cm; p=0.053). Multivariate logistic regression analysis showed that MetS (OR 0.28, 95% CI 0.09-0.88; p=0.029), fasting blood glucose (OR 0.95, 95% CI 0.91-0.99; p=0.045), uric acid (OR 0.46, 95% CI 0.28-0.76; p=0.002), gamma-glutamyl transferase (OR 1.04, 95% CI 1.00-1.08; p=0.043), high-sensitivity C-reactive protein (OR 1.07, 95% CI 1.01-1.12; p=0.015) levels and platelet count (OR 0.99, 95% CI 0.98-0.99; p=0.034) significantly affected aspirin resistance.


CONCLUSIONS
Our results show that a significant proportion of MetS patients will not benefit from aspirin use due to high aspirin resistance.
Cağirci
Göksel
G
Department of Cardiology, Dişkapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey.
Ozdemir
Ozcan
O
Geyik
Bilal
B
Cay
Serkan
S
Oztürk
Sezgin
S
Aras
Dursun
D
Topaloğlu
Serkan
S
D000368:Aged; D001241:Aspirin / Q000009:adverse effects* / Q000627:therapeutic use; D054316:Biomarkers, Pharmacological / Q000032:analysis; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D003327:Coronary Disease / Q000453:epidemiology; D003971:Diastole; D004351:Drug Resistance; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000150:complications / Q000503:physiopathology* / Q000517:prevention & control; D008875:Middle Aged; D011322:Primary Prevention; D013599:Systole; D014280:Triglycerides / Q000097:blood
D054316:Biomarkers, Pharmacological; D001786:Blood Glucose; D014280:Triglycerides; D001241:Aspirin