Predicting Risk of Cognitive Decline in Very Old Adults Using Three Models: The Framingham Stroke Risk Profile; the Cardiovascular Risk Factors, Aging, and Dementia Model; and Oxi-Inflammatory Biomarkers

Background and Purpose: To compare the risk factors and risk of stroke between lacune and large perivascular spaces (PVSs) in a community-based sample. Methods: Large PVSs were assessed using 3.0T MRI in a population-based cohort consisting of 1,204 participants. The relationship between cardiovascular risk factors, neuroimaging changes, and incidental stroke risk and the presence of lacune or large PVSs was assessed with univariate and multivariable ordinal logistic regression analysis. Results: Of the 1,204 study participants (55.7 ± 9.3 years, 37.0% men), a total of 347 large PVSs were detected in 235 (19.5%) subjects, while a total of 219 lacunes were detected in 183 subjects (15.2%). The presence of lacunes was found to be significantly associated with age, male gender, hypertension, and diabetes, whereas only age (p < 0.01) and ApoEε4 carrier status (p < 0.01) were related to the presence of large PVSs. Those who had lacunes detected on MRI at baseline had a significant increased risk of stroke (hazard ratio [HR] 4.68; 95% confidence interval [CI], 1.15–19.07) during the 3-year follow-up independent of age, gender, and other vascular risk factors. However, there was no significant relationship between the presence of large PVSs and incident stroke (HR 3.84; 95% CI, 0.82–18.04). Conclusions: The lack of association between large PVSs and cardiovascular risk factors or risk of stroke indicated a nonvascular pathogenic mechanism underlying large PVSs, suggesting the importance of distinguishing large PVSs from lacunes in clinical practice.

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Cerebrovascular reactivity — predictive factor for cognitive decline in patients with cardiovascular risk factors

Journal of the Neurological Sciences ◽

10.1016/j.jns.2009.02.195 ◽

2009 ◽

Vol 283 (1-2) ◽

pp. 291

Author(s):

H. Nicolae ◽

R. Radici ◽

G. Vulpe ◽

D. Stefanescu ◽

C. Panea

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Cognitive Decline ◽

Cardiovascular Risk Factors ◽

Predictive Factor ◽

Cerebrovascular Reactivity

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Pulsatile hemodynamics and cardiovascular risk factors in very old patients

Journal of Hypertension ◽

10.1097/hjh.0b013e32835ed5b9 ◽

2013 ◽

Vol 31 (5) ◽

pp. 848-857 ◽

Cited By ~ 8

Author(s):

Michel E. Safar ◽

Peter M. Nilsson

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Old Patients ◽

Very Old ◽

Very Old Patients

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O1-11-02: FRACTION OF CASES OF AMNESTIC MILD COGNITIVE IMPAIRMENT PROGRESSION ATTRIBUTABLE TO THE INTERACTION BETWEEN THE SEVERITY OF COGNITIVE DECLINE AND CARDIOVASCULAR RISK FACTORS

Alzheimer s & Dementia ◽

10.1016/j.jalz.2014.04.117 ◽

2014 ◽

Vol 10 ◽

pp. P151-P151

Author(s):

Yuliya Bodryzlova ◽

Olivier Potvin ◽

Simon Duchesne

Keyword(s):

Risk Factors ◽

Cognitive Impairment ◽

Cardiovascular Risk ◽

Mild Cognitive Impairment ◽

Cognitive Decline ◽

Cardiovascular Risk Factors ◽

Amnestic Mild Cognitive Impairment

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Relationships between abdominal body fat distribution and cardiovascular risk factors: an explanation for women’s healthier cardiovascular risk profile. The D.E.S.I.R. Study

International Journal of Obesity ◽

10.1038/sj.ijo.0801033 ◽

1999 ◽

Vol 23 (10) ◽

pp. 1085-1094 ◽

Cited By ~ 30

Author(s):

S Bertrais ◽

◽

B Balkau ◽

S Vol ◽

A Forhan ◽

...

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Cardiovascular Risk Factors ◽

Body Fat ◽

Fat Distribution ◽

Risk Profile ◽

Body Fat Distribution ◽

Cardiovascular Risk Profile

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Treatment Choices and Patterns in Migraine Patients With and Without a Cardiovascular Risk Profile

Cephalalgia ◽

10.1111/j.1468-2982.2008.01726.x ◽

2009 ◽

Vol 29 (3) ◽

pp. 322-330 ◽

Cited By ~ 7

Author(s):

EA Wames-van der Heijden ◽

CC Tijssen ◽

ACG Egberts

Keyword(s):

Risk Factors ◽

Cardiovascular Risk ◽

Observational Study ◽

Cardiovascular Risk Factors ◽

Risk Profile ◽

Treatment Patterns ◽

Retrospective Observational Study ◽

Cardiovascular Risk Profile ◽

Treatment Choices ◽

Antimigraine Drugs

Treatment patterns in migraine patients with cardiovascular risk factors are largely unknown. A retrospective observational study was conducted to characterize the baseline cardiovascular risk profile of new users of specific abortive migraine drugs, and to investigate treatment choices and patterns in patients with and without a known cardiovascular risk profile. New users of a triptan, ergotamine or Migrafin® ( n = 36 839) from 1 January 1990 to 31 December 2006 were included. Approximately 90 of all new users did not have a clinically recognized cardiovascular risk profile. The percentage of new users with a cardiovascular risk profile did not differ between new users of a triptan, ergotamine or Migrafin® and also did not change during the study period of 17 years. Differences in treatment choices and patterns between migraine patients with and without a known cardiovascular risk profile reveal a certain reticence in prescribing vasoconstrictive antimigraine drugs to patients at cardiovascular risk.

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Relationships of Changes in Physical Activity and Sedentary Behavior With Changes in Physical Fitness and Cardiometabolic Risk Profile in Individuals With Type 2 Diabetes: The Italian Diabetes and Exercise Study 2 (IDES_2)

10.2337/figshare.16746262.v2 ◽

2021 ◽

Author(s):

Stefano Balducci ◽

Jonida Haxhi ◽

Massimo Sacchetti ◽

Giorgio Orlando ◽

Patrizia Cardelli ◽

...

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Type 2 Diabetes ◽

Cardiovascular Risk ◽

Physical Fitness ◽

Cardiovascular Risk Factors ◽

Risk Profile ◽

Risk Scores ◽

Metabolic Equivalents

<a>Objective.</a> In the Italian Diabetes and Exercise Study_2, a behavioral counseling <a>promoted</a> a sustained increase in physical activity (PA) volume (+3.3 metabolic equivalents-hour·week-1), moderate-to-vigorous-intensity PA (MVPA, +6.4 min·day-1), and light-intensity PA (LPA, +0.8 hours·day-1) and decrease in sedentary time (SED-time, -0.8 hours·day-1). Here, we investigated <a>the relationships of changes in PA/SED-time with changes in physical fitness and cardio-metabolic risk profile in individuals with type 2 diabetes</a>. Research Design and Methods. <a>In this 3-year randomized clinical trial, 300 physically inactive and sedentary patients were randomized 1:1 to receive one-month theoretical and practical counseling once-a-year or standard care. </a>Changes in physical fitness and cardiovascular risk factors/scores according to quartiles of accelerometer-measured changes in PA/SED-time were assessed, together with univariate and multivariable associations between these parameters<a>, in the whole cohort and by study arm</a>. Results. Physical fitness increased and HbA1c and coronary heart disease 10-year risk scores decreased with quartiles of MVPA and SED-time change. In quartile IV of MVPA increase and SED-time decrease, cardiorespiratory fitness increased by 5.23 and 4.49 ml·min-1·kg-1 and HbA1c decreased by 0.73 and 0.85%, respectively. Univariate correlations confirmed these relationships and mean changes in both MPVA and SED-time predicted changes in physical fitness and cardiovascular risk factors/scores independently of one another and of other confounders. Similar findings were observed with LPA and PA volume and in each group separately. Conclusions. Even modest increments in MVPA may have a clinically meaningful impact and reallocating SED-time to LPA may also contribute to improve outcomes, possibly by increasing total energy expenditure.

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