PURPOSE: The arterial pulsatility index (PI) is measured by transcranial Doppler ultrasonography (TCD) and is postulated to reflect the vascular resistance distal to the artery being examined. An increased PI of the intracranial artery is often reported with diabetes mellitus (DM), old age, hypertension, intracranial hypertension, vascular dementia, and small artery disease. Microvascular complication of DM, which may contribute to cerebral infarction, involves the small perforating artery and may influence the PI of the proximal artery. MATERIALS AND METHODS: We performed a TCD examination in patients with type 2 DM with acute lacunar infarction (DML, n=35), type 2 DM without cerebral infarction (DMO, n=69), and in control cases with no DM or cerebral infarction (control group, n=41). We then compared the TCD findings among these groups. RESULTS: The PI was significantly higher in the DML and DMO groups than in the control group (1.05, 0.93, 0.73. respectively, for the right middle cerebral artery; 1.04, 0.90, 0.73, respectively, for the left middle cerebral artery; 0.97, 0.89, 0.70, respectively, for the basilar artery). The PI was also significantly higher in the DML group than in the DMO group for both middle cerebral arteries. The flow velocity was comparable among the three groups. CONCLUSION: The elevated PI of the intracranial arteries may reflect diabetic cerebral microvascular complications. The PI measurement using TCD may be a useful predictor of lacunar infarction in type 2 DM patients.
Aged ; Basilar Artery/physiology/ultrasonography ; Brain/*blood supply ; Brain Infarction/complications/*ultrasonography ; Diabetes Mellitus, Type 2/*complications ; Diabetic Angiopathies/*ultrasonography ; Female ; Humans ; Male ; Middle Aged ; Middle Cerebral Artery/physiology/ultrasonography ; Pulsatile Flow ; Retrospective Studies ; Ultrasonography, Doppler, Transcranial

OBJECTIVETo evaluate the accuracy of quantitative coronary angiography (QCA) assessment on target lesion and reference vessel in patients with diabetes mellitus with intravascular ultrasound (IVUS) measurements as golden standard.

METHODSQCA and IVUS were performed in 52 diabetes mellitus patients [35 males, mean age (62.3 +/- 7.1) years]. Regression equation was ascertained with the IVUS derived plaque burden as dependent and QCA derived vessel stenosis as independent variable. The measurement results derived from the two modalities on proximal and distal reference vessels were compared.

RESULTThe regression equation (constant = 0.8286, P = 0.001) of plaque burden and vessel stenosis derived from two modalities were significantly correlated (r = 0.691, P < 0.001) but QCA overestimated the stenosis severity (57.9% +/- 15.5% vs. 53.5% +/- 12.9%, P < 0.01). Target vessels negative remodeling index in these patient was 0.87 +/- 0.23. QCA significantly underestimated the proximal and distal reference segments vessel diameters [(0.81 +/- 0.24) mm, (0.64 +/- 0.17) mm, all P < 0.05] as compared to IVUS results.

CONCLUSIONDue to the significant negative vessel remodeling, QCA overestimated the stenosis severity and underestimated the reference segments vessel diameters in patients with diabetes mellitus.

Aged ; Coronary Angiography ; methods ; Coronary Artery Disease ; diagnostic imaging ; Diabetes Mellitus, Type 2 ; diagnostic imaging ; Diabetic Angiopathies ; diagnostic imaging ; Female ; Humans ; Male ; Middle Aged ; Regression Analysis ; Ultrasonography, Interventional

OBJECTIVE: To investigate the impact of vascular factors on the electrophysiologic severity of diabetic neuropathy (DPN). METHODS: Total 530 patients with type 2 diabetes were enrolled retrospectively. We rated severity of DPN from 1 (normal) to 4 (severe) based on electrophysiologic findings. We collected the data concerning vascular factors (including brachial-ankle pulse wave velocity [PWV], ankle brachial index, ultrasound of carotid artery, lipid profile from the blood test, and microalbuminuria [MU] within 24 hours urine), and metabolic factors of diabetes (such as glycated hemoglobin [HbA1c]). We analyzed the differences among the four subgroups using χ2 test and ANOVA, and ordinal logistic regression analysis was performed to investigate the relationship between significant variables and severity of DPN. RESULTS: The severity of DPN was significantly associated with duration of diabetes, HbA1c, existence of diabetic retinopathy and nephropathy, PWV, presence of plaque, low density lipoprotein-cholesterol and MU (p<0.05). Among these variables, HbA1c and presence of plaque were more significantly related with severity of DPN in logistic regression analysis (p<0.001), and presence of plaque showed the highest odds ratio (OR=2.52). CONCLUSION: Our results suggest that markers for vascular wall properties, such as PWV and presence of plaque, are significantly associated with the severity of DPN. The presence of plaque was more strongly associated with the severity of DPN than other variables.
Ankle Brachial Index ; Carotid Arteries ; Carotid Stenosis ; Diabetic Angiopathies ; Diabetic Neuropathies* ; Diabetic Retinopathy ; Electromyography ; Hematologic Tests ; Hemoglobin A, Glycosylated ; Humans ; Logistic Models ; Odds Ratio ; Pulse Wave Analysis ; Retrospective Studies ; Ultrasonography

INTRODUCTIONThe aim of the study was to evaluate cerebral microangiopathy in type 2 noninsulin- dependent diabetes mellitus (NIDDM) patients and to establish potentially conducive factors.

MATERIALS AND METHODSA group of 34 patients with NIDDM and 31 gender- and agematched normal controls (NC) were assessed by extracranial Doppler ultrasound, in order to evaluate the pulsatility index (PI) and the resistance index (RI) in the internal carotid arteries (ICAs); transcranial Doppler was utilised to assess the same parameters in the middle cerebral arteries (MCAs). All patients underwent screening for favouring factors for cerebral vascular remodelling.

RESULTSOf the 34 NIDDM patients, 21 patients (61.76%) (subgroup A) presented with microangiopathic complications [of these, 19 patients (90.46%) had diabetic nephropathy (DN)] versus 13 NIDDM patients (38.24%) (subgroup B) without complications. In subgroup A, 16 patients (76.19%) had PI >1 and RI >0.7 in the ICAs and MCAs (changes consistent with cerebral microangiopathy) versus 5 patients (35.46%) in subgroup B, and no modifications in NC. Of the 19 patients with DN, 14 patients (73.68 %) had impaired haemodynamic indices. Univariate regression analysis showed the following risk factors for the cerebral haemodynamics changes: fibrinogen (F) (OR = 3.11), C-reactive protein (CRP) (OR = 2.40), duration of DM (OR = 2.40), proteinuria (OR = 1.80), serum creatinine (OR = 1.66). Multivariate regression analysis showed as predictors for impaired haemodynamic indices: duration of DM (HR =1.70), proteinuria (HR = 1.70). The haemodynamic indices in the ICAs correlated with duration of DM (r = 0.87, P <0.0001), F (r = 0.86; P <0.0001), CRP (r = 0.80; P <0.0001); in the MCAs with the duration of DM (r = 0.66, P <0.0001), F (r = 0.38; P <0.0001), CRP (r = 0.88; P <0.0001).

CONCLUSIONCerebral microangiopathy has a high prevalence in NIDDM patients. These cerebral vascular changes correlate with the duration of DM, parameters of inflammation, and proteinuria.

Carotid Artery Diseases ; diagnostic imaging ; epidemiology ; etiology ; Carotid Artery, Internal ; diagnostic imaging ; pathology ; Case-Control Studies ; Diabetes Mellitus, Type 2 ; complications ; diagnostic imaging ; Diabetic Angiopathies ; diagnostic imaging ; epidemiology ; etiology ; Female ; Humans ; Inflammation ; Male ; Middle Aged ; Prevalence ; Prognosis ; Risk Assessment ; Risk Factors ; Romania ; Time Factors ; Ultrasonography, Doppler, Pulsed