scholarly journals Change of Bone Mineral Density and Relationship to Clinical Parameters in Male Stroke Patients

2016 ◽  
Vol 40 (6) ◽  
pp. 981 ◽  
Author(s):  
Hui Dong Kim ◽  
Sae Hyun Kim ◽  
Dong Kyu Kim ◽  
Ho Joong Jeong ◽  
Young Joo Sim ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Clinical Parameters ◽  
Mineral Density ◽  
Stroke Patients

scholarly journals Bone Mineral Density in Acute Stroke Patients

Stroke ◽  
2001 ◽  
Vol 32 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Lone Jørgensen ◽  
Torgeir Engstad ◽  
Bjarne K. Jacobsen
Keyword(s):  
Bone Mineral Density ◽  
Acute Stroke ◽  
Bone Mineral ◽  
Mineral Density ◽  
Stroke Patients

scholarly journals The associations between bone mineral density and cerebral white matter hyperintensity in elderly stroke patients

2018 ◽  
Vol 2 (3) ◽  
pp. 117-123
Author(s):  
Ji-Sun Kim ◽  
Minjik Kim ◽  
Sung Hoon Kang ◽  
Kyungmi Oh ◽  
Sangil Suh ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
White Matter ◽  
Bone Mineral ◽  
White Matter Hyperintensity ◽  
Cerebral White Matter ◽  
Mineral Density ◽  
Stroke Patients

COMBINED USE OF CLINICAL PARAMETERS AND BONE MINERAL DENSITY IN THE DIAGNOSIS OF OSTEOPOROSIS

1992 ◽  
Vol 17 (10) ◽  
pp. 838
Author(s):  
I G??z??kara ◽  
Z Szabo ◽  
A W Klmball ◽  
M A Levine ◽  
H N Wagner ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Clinical Parameters ◽  
Mineral Density ◽  
Diagnosis Of Osteoporosis ◽  
Combined Use

Prevalence of pre-stroke low bone mineral density and vertebral fracture in first stroke patients

Bone ◽  
2008 ◽  
Vol 43 (1) ◽  
pp. 183-186 ◽  
Author(s):  
Hye Won Kim ◽  
Eugene Kang ◽  
Sun Im ◽  
Young Jin Ko ◽  
Soo Ah Im ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Vertebral Fracture ◽  
Bone Mineral ◽  
Mineral Density ◽  
Stroke Patients ◽  
Low Bone Mineral Density

scholarly journals Bone mineral density and fragility fractures in stroke patients

2019 ◽  
Vol 0 (6) ◽  
Author(s):  
V. V. Povorozniuk ◽  
M. A. Bystrytska ◽  
N. V Hryhorieva
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Fragility Fractures ◽  
Mineral Density ◽  
Stroke Patients

scholarly journals Association between Bone Mineral Density and Clinical Parameters in Traumatic Brain Injury Patients

2016 ◽  
Vol 22 (1) ◽  
pp. 7-10
Author(s):  
Murat Ersöz ◽  
Selçuk Sayılır ◽  
Özden Sibel Odabaşı Yılmaz ◽  
Fatma Gülçin Uğurlu ◽  
Selami Akkuş
Keyword(s):  
Bone Mineral Density ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Bone Mineral ◽  
Clinical Parameters ◽  
Mineral Density

Abstract TP190: Bone Mineral Density is Inversely Related to Cerebral Pulsatility Index in Patients With Acute Ischemic Stroke

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Sang Won Han ◽  
Joong Hyun Park ◽  
Jong Yun Lee ◽  
Seong Hwan Ahn ◽  
Kyung-Yul Lee
Keyword(s):  
Bone Mineral Density ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Bone Mineral ◽  
Pulsatility Index ◽  
Vascular System ◽  
Linear Regression Analysis ◽  
Mineral Density ◽  
Stroke Patients ◽  
T Score

Introduction: Atherosclerosis and osteoporosis are two major public health problems. These are both multifactorial and degenerative diseases that accompany aging. Co-morbidities are common, with a high prevalence of cardiovascular risk factors including hypertension, smoking, and sedentary lifestyle. Several studies have suggested a relationship between atherosclerosis and osteoporosis, with a significant correlation between coronary artery calcium and bone mineral density (BMD). The pulsatility index (PI) is designed to measure vascular resistance and characterizes the shape of the spectral waveform. The PI was increasing with age but alterations in PI are the reflection of multifactorial, pleiotropic events occurring in the cardio and cerebral vascular system. Atherosclerosis of the large proximal arteries and the intracranial vessels are important factors for increased PI. Hypothesis: We hypothesized that the transcranial Doppler (TCD) PI would reflect the atherosclerotic component of intracranial vessels which in turn is related to systemic atherosclerosis. In this context, we investigated the relationship between TCD PI and BMD in acute ischemic stroke patients. Methods: Patients having their first ischemic stroke within 7 days were screened for the study. Doppler signals from the main stem of the middle cerebral artery (MCA) were obtained transtemporally with a traditional 2-MHz transducer at depths of 56, 58, and 60 mm. BMD was measured at total hip and lumbar spine in the anterior-posterior projection, using dual-energy x-ray absorptiometry. Results: A total of 146 patients were enrolled in the study and the mean age was 68.3±10.34 years. Multiple linear regression analysis reveals that age (p<0.001) and BMD T-score (p=0.028) were significantly associated with increased TCD PI. Old age and decreased T-score were significantly related to increased TCD PI. Age adjusted scatterplots showed that BMD T-score was inversely related to TCD PI in acute ischemic stroke patients (r=-0.202, p=0.028). Conclusions: Our findings indicate that decreased BMD may be associated with atherosclerosis in the cerebral circulation.

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