Carotid haemodynamic parameters as risk factors for cerebral infarction in Type 2 diabetic patients
T Nakatou1, K Nakata, A Nakamura
1Department of internal medicine, Okayama Saiseikai General Hospital, Japan. nakatou@imail.plala.or.jp
Insights
Carotid haemodynamic parameters, including resistive index (RI) and pulsatility index (PI), alongside intima-media thickness (IMT), are useful in estimating cerebral infarction risk in Type 2 diabetes patients.
Area of Science:
- Vascular Medicine
- Diabetology
- Neurology
Background:
- Type 2 diabetes is associated with an increased risk of cerebral infarction.
- Early identification of at-risk individuals is crucial for preventative strategies.
Purpose of the Study:
- To evaluate the utility of carotid haemodynamic parameters, specifically resistive index (RI) and pulsatility index (PI), in assessing cerebral infarction risk among Type 2 diabetic patients.
- To determine if these parameters, along with intima-media thickness (IMT), can predict previous cerebral infarction.
Main Methods:
- A cross-sectional study involving 382 Type 2 diabetic patients and 110 controls.
- Ultrasonography was performed to measure common carotid artery intima-media thickness (IMT), resistive index (RI), and pulsatility index (PI).
- Atherosclerosis risk was assessed using the SMART risk score for diabetic patients.
Main Results:
- Diabetic patients exhibited higher IMT, RI, and PI values compared to controls.
- Patients with a history of cerebral infarction had significantly elevated IMT, RI, and PI.
- Both IMT and PI were identified as independent risk factors for cerebral infarction in Type 2 diabetes.
Conclusions:
- Carotid haemodynamic parameters (RI, PI) and IMT are valuable tools for estimating the risk of previous cerebral infarction in Type 2 diabetic patients.
- Further prospective studies are needed to confirm the predictive value of these parameters for future cerebral infarction events.
Aims:
The purpose of this study was to investigate the usefulness of carotid haemodynamic parameters, i.e. the resistive index (RI) and the pulsatility index (PI), in estimating the risk of cerebral infarction in Type 2 diabetic patients.
Methods:
Three hundred and eighty-two Type 2 diabetic patients (223 men and 159 women; mean age 61 years, range 40-88; 40 had a history of cerebral infarction) and 110 control subjects were analysed in a cross-sectional study. All subjects underwent ultrasonography of the common carotid artery, with determination of intima-media thickness (IMT), RI, and PI. A SMART (Second Manifestations of ARTerial Disease) atherosclerosis risk score was determined for all diabetic patients.
Results:
The mean values for IMT, RI, and PI were increased in diabetic patients compared with control subjects, and they were significantly elevated in patients with previous cerebral infarction compared with patients without cerebral infarction. (IMT 0.88 +/- 0.22 vs. 0.77 +/- 0.19, P < 0.005; RI 0.77 +/- 0.07 vs. 0.75 +/- 0.06, P < 0.05; PI 1.88 +/- 0.36 vs. 1.71 +/- 0.36, P < 0.01) Significant but weak correlations were found between SMART risk scores and IMT, RI and PI (IMT r = 0.390, P < 0.0001; RI r = 0.346, P < 0.0001; PI r = 0.393, P < 0.0001). The multiple logistic model showed that both the IMT [odds ratio (OR) 6.50, 95% confidence interval (CI) 3.42, 12.34] and the PI (OR 4.16, 95% CI 2.36, 7.34) were independent risk factors for cerebral infarction. The subjects who had an IMT of > 1.0 and a PI > 2.00 had a greater risk of developing a cerebral infarction than did the subjects who had an IMT of < 1.0 and a PI < 2.00 (OR 6.21, 95% CI 2.26, 17.05).
Conclusions:
The results of this cross-sectional study showed that the measurement of haemodynamic parameters was useful, together with IMT, in estimating the risk of previous cerebral infarction in Type 2 diabetic patients. The predictive value of these parameters in identifying the risk of future cerebral infarction must await the results of future prospective studies.
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