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1 ether uric acid is an independent and causal cardiovascular risk factor.
2 c fatty liver disease has emerged as a novel cardiovascular risk factor.
3 T2D), and diabetic kidney disease is a major cardiovascular risk factor.
4 s >/=55 years of age with at least one other cardiovascular risk factor.
5 ) is associated with lower renal function, a cardiovascular risk factor.
6 own that obesity is associated with multiple cardiovascular risk factors.
7 yses were adjusted for mean LDL-C levels and cardiovascular risk factors.
8 ustment for age or additional adjustment for cardiovascular risk factors.
9 c differences in socioeconomic status and/or cardiovascular risk factors.
10 ulations with high prevalence of traditional cardiovascular risk factors.
11 rds models were adjusted for demographic and cardiovascular risk factors.
12 the risk was attenuated after adjusting for cardiovascular risk factors.
13 56-80] years) and had a higher prevalence of cardiovascular risk factors.
14 GLS, while accounting for family cluster and cardiovascular risk factors.
15 fidence interval, 0.01 to 0.83) adjusted for cardiovascular risk factors.
16 es and number of other presenting modifiable cardiovascular risk factors.
17 ained by time-related changes in traditional cardiovascular risk factors.
18 ble epigenetic mark that has been related to cardiovascular risk factors.
19 mprove healthy behaviors in individuals with cardiovascular risk factors.
20 vascular events, independent of age or other cardiovascular risk factors.
21 les, and clinical characteristics, including cardiovascular risk factors.
22 ly adjusted for each other, and conventional cardiovascular risk factors.
23 ge of 22 years later in life, independent of cardiovascular risk factors.
24 ase (CVD) risk prediction beyond traditional cardiovascular risk factors.
25 ne whether adults with eczema have increased cardiovascular risk factors.
26 onceptually as an accelerator of traditional cardiovascular risk factors.
27 ity risk, possibly due to a higher burden of cardiovascular risk factors.
28 tory fitness in midlife after adjustment for cardiovascular risk factors.
29 ovascular events, independent of traditional cardiovascular risk factors.
30 noncardiovascular mortality, independent of cardiovascular risk factors.
31 adjusting for age, race, HIV serostatus, and cardiovascular risk factors.
32 Cox regression, adjusting for age, sex, and cardiovascular risk factors.
33 group, even after adjustment for traditional cardiovascular risk factors.
34 ng sex- and age-specific causal estimates on cardiovascular risk factors.
35 nes and their metabolites potentially reduce cardiovascular risk factors.
36 Midlife and concurrent cardiovascular risk factors.
37 ed for age, sex, mean arterial pressure, and cardiovascular risk factors.
38 enuate the progressive substrate promoted by cardiovascular risk factors.
39 prevalence of traditional and uremia-related cardiovascular risk factors.
40 e-aged people with type 2 diabetes and other cardiovascular risk factors.
41 lained by population-level changes in common cardiovascular risk factors.
42 ively, and who had cardiovascular disease or cardiovascular risk factors.
43 lated to AF independent of demographical and cardiovascular risk factors.
44 nt of chronological age and other well-known cardiovascular risk factors.
45 or persons seeking to lose weight and reduce cardiovascular risk factors.
46 s and to analyze any association with common cardiovascular risk factors.
47 ustment for chronological age and well-known cardiovascular risk factors.
48 onfounding influence of variable exposure to cardiovascular risk factors.
49 neighborhood characteristics and individual cardiovascular risk factors.
50 ntified to have had significant predisposing cardiovascular risk factors.
51 of these 4 popular diets on weight loss and cardiovascular risk factors.
52 rosclerosis and is linked to the presence of cardiovascular risk factors.
53 n the top-20 lists as opposed to traditional cardiovascular risk factors.
54 for patients with serious mental illness and cardiovascular risk factors.
55 t the whole disease spectrum, independent of cardiovascular risk factors.
56 ot benefited equally from efforts to control cardiovascular risk factors.
57 as compared with calcified plaque burden and cardiovascular risk factors.
58 severity, infarct volume, brain volume, and cardiovascular risk factors.
59 djusted for potential confounders, including cardiovascular risk factors.
60 diabetic patients had a higher prevalence of cardiovascular risk factors.
61 ultivariable models adjusted for established cardiovascular risk factors.
62 and low risk of cardiac events, according to cardiovascular risk factors.
63 coronary heart disease after adjustment for cardiovascular risk factors.
64 iovascular events independent of traditional cardiovascular risk factors.
65 factors, cardiac structure and function, and cardiovascular risk factors.
66 and low socioeconomic status as synergistic cardiovascular risk factors.
67 n dose to the heart, chemotherapy, and other cardiovascular risk factors.
68 gression was performed of temporal trends in cardiovascular risk factors (1946-2010) and independent
69 Regression analysis of temporal trends in cardiovascular risk factors (1946-2010) was done indepen
72 riable analyses adjusted for albuminuria and cardiovascular risk factors, a baseline NAG ratio in the
74 pite wide heterogeneity in the prevalence of cardiovascular risk factors across different regions, CV
75 r depression, polypharmacy, and uncontrolled cardiovascular risk factors, all of which may increase r
76 that remains the most potent and widespread cardiovascular risk factor, although details of its gene
77 patients after accounting for differences in cardiovascular risk factors, although stroke risk is equ
79 r predicted absolute cardiovascular risk and cardiovascular risk factors among US adults in different
81 a significant role in optimizing coexistent cardiovascular risk factors and a limited role in improv
82 azard ratios (HRs) for 12 CVDs, adjusted for cardiovascular risk factors and acute conditions affecti
83 haracterisation and define the role of other cardiovascular risk factors and advanced subclinical cor
84 Sustained, community-wide programs targeting cardiovascular risk factors and behavior changes to impr
85 impact of lifelong patterns of adiposity on cardiovascular risk factors and carotid intima media thi
86 age/sex-matched controls were evaluated for cardiovascular risk factors and carotid plaque on ultras
87 Participants were assessed for traditional cardiovascular risk factors and circulating anti-human l
88 common in cirrhosis and are associated with cardiovascular risk factors and cirrhosis severity and e
89 corrected for potential modifiers, including cardiovascular risk factors and comorbid conditions (suc
92 lineated the association between traditional cardiovascular risk factors and development of aortic st
93 h as trastuzumab is predicted by preexisting cardiovascular risk factors and disease, posing the ques
94 mobility, accidents, cognitive function, and cardiovascular risk factors and events at 3 months and 1
98 examined the association between traditional cardiovascular risk factors and incident severe AS in a
99 e associations between childhood/adolescence cardiovascular risk factors and midlife cognitive perfor
101 roved to treat obesity, but their effects on cardiovascular risk factors and outcomes are not well de
102 ber of epidemiological studies investigating cardiovascular risk factors and outcomes in relation to
103 determined height was associated with known cardiovascular risk factors and performed a pathway anal
104 in FD is associated with a higher burden of cardiovascular risk factors and preclinical indices of C
105 nd interventions should be aimed at reducing cardiovascular risk factors and prevention of stroke.
107 ically evaluated the association of standard cardiovascular risk factors and SCA, and sports as a tri
108 Besides its associations with traditional cardiovascular risk factors and stroke, associations bet
109 We evaluated the impact of living in FD on cardiovascular risk factors and subclinical cardiovascul
110 de polymorphism associations for traditional cardiovascular risk factors and tested these scores for
111 coronary plaque, independent of traditional cardiovascular risk factors and the extent and severity
112 ctional associations between urinary NAG and cardiovascular risk factors and the longitudinal associa
113 ment for age, sex, inflammatory markers, and cardiovascular risk factors and were also evident in par
114 ith chronic Q fever and in 220 controls with cardiovascular risk-factors and previous exposure to C.
115 ype 2 diabetes mellitus with >/=1 additional cardiovascular risk factors, and 35% had a history of ma
116 model, adjusting for age, sex, demographics, cardiovascular risk factors, and apolipoprotein E genoty
117 bnormal blood glucose levels and diabetes as cardiovascular risk factors, and application of the guid
119 rticipants with lifetime adiposity measures, cardiovascular risk factors, and cIMT measured at 60-64
120 ears with hypertension, at least three other cardiovascular risk factors, and fasting total cholester
121 US cohort was older, had a higher burden of cardiovascular risk factors, and had more frequently und
122 ression analyses adjusting for demographics, cardiovascular risk factors, and left ventricular (LV) m
123 t air pollution distorts the distribution of cardiovascular risk factors, and that, for several outco
124 djusted for matching variables, comorbidity, cardiovascular risk factors, and use of antihypertensive
125 predictor of risk for MACEs, independent of cardiovascular risk factors, angiography result, or init
126 ificant predictor after adjustment for other cardiovascular risk factors, angiography result, or stra
128 isease has an unknown pathogenesis; however, cardiovascular risk factors are associated with a higher
131 gh reduced cardiac output and high burden of cardiovascular risk factors are the prevailing explanati
132 aggressive identification and management of cardiovascular risk factors, as well as reducing tobacco
133 nary artery calcium score (CACS) can replace cardiovascular risk factor assessment in selection of ki
134 leted a comprehensive medical examination, a cardiovascular risk factor assessment, and incremental t
136 ociation exists between decreasing number of cardiovascular risk factors at target and major adverse
137 hip among adiposity, insulin resistance, and cardiovascular risk factors at the onset of overweight o
138 ].In a generalized linear model adjusted for cardiovascular risk factors, average annual health care
140 for lipid levels, which consider additional cardiovascular risk factors beyond age and LDL-C concent
141 We prospectively assessed the prevalence of cardiovascular risk factors, biomarkers of inflammation
142 men, n=345; men, n=394) without identifiable cardiovascular risk factors (body mass index [BMI], 15.3
144 phical region, prior cardiovascular disease, cardiovascular risk factor burden, cardiovascular preven
146 ported alive are increasingly likely to have cardiovascular risk factors but less likely to have prev
147 otein(a) [Lp(a)] is a prevalent, independent cardiovascular risk factor, but the underlying mechanism
148 ng, gathering, fishing, and farming with few cardiovascular risk factors, but high infectious inflamm
149 suggest detrimental influences of alcohol on cardiovascular risk factors, but such associations are o
150 63.0 years, P<0.0001) with fewer traditional cardiovascular risk factors, but with more obesity, depr
152 were adjusted for demographics, traditional cardiovascular risk factors, calcium score, LV end-diast
153 egression models adjusting for age, sex, and cardiovascular risk factors; censored for stroke; and st
154 (PSGL-1) expression, as well as established cardiovascular risk factors (cholesterol, high-sensitive
155 over, we compared patient age, prevalence of cardiovascular risk factors, clinical stroke severity, i
156 Uptake of the tracers was correlated with cardiovascular risk factors collected from medical recor
158 rior angiogram, 72 LT recipients matched for cardiovascular risk factors (control group I), and 119 c
160 increasing, yet little is known about their cardiovascular risk factors, coronary anatomy, cardiac t
161 the overall and marginal impact of favorable cardiovascular risk factor (CRF) profile on healthcare e
163 erosclerosis improves risk prediction beyond cardiovascular risk factors (CVRFs) and risk scores, but
165 confidence interval [CI], 0.0255 to 0.0436), cardiovascular risk factors (CVRFs) such as smoking (bet
166 Studies have linked midlife and late-life cardiovascular risk factors (CVRFs) to cognitive functio
167 regression was used to examine the impact of cardiovascular risk factors (CVRFs; hypertension, diabet
168 on the risk of developing CVD, adjusted for cardiovascular risk factors (CVRFs; ie, diabetes, hypert
170 further exacerbated by the co-occurrence of cardiovascular risk factors (diabetes and hypertension).
173 erfiltration, insulin sensitivity, and other cardiovascular risk factors, effects that might translat
176 populations, poor, and have higher rates of cardiovascular risk factors, especially smoking and hype
177 o be stronger in the presence of traditional cardiovascular risk factors, especially the synergistic
182 Furthermore, individuals lacking traditional cardiovascular risk factors had more ASCVD if they had C
183 abolic syndrome (MetS), a complex cluster of cardiovascular risk factors, has been linked to periodon
184 The cumulative burden and importance of cardiovascular risk factors have changed over the past d
185 disease in which both traditional and novel cardiovascular risk factors have effects on outcomes.
186 scriptions of geographic variations in major cardiovascular risk factors have relied on data aggregat
187 stment for social determinants of health and cardiovascular risk factors, hazard ratios in ARIC and R
191 95% CI, 1.01-2.15), and 3 or more component cardiovascular risk factors (HR, 1.58; 95% CI, 1.13-2.33
192 95% CI, 1.92-4.19), and 3 or more component cardiovascular risk factors (HR, 4.92; 95% CI, 1.39-17.4
193 HF compared with those with none (for 1 v 0 cardiovascular risk factors: HR, 1.63; 95% CI, 1.07 to 2
194 R, 1.63; 95% CI, 1.07 to 2.47; for >/= 2 v 0 cardiovascular risk factors: HR, 2.86; 95% CI, 1.56 to 5
195 among adults without obesity who do not have cardiovascular risk factors (hypertension, dyslipidemia,
197 ents regarding drug safety, effects on major cardiovascular risk factors, impact on cardiovascular ou
199 preexisting cardiac disease in 16% and >/=1 cardiovascular risk factors in 56%, and overall, 36% of
200 ween DEXA-quantified fat depots and diabetes/cardiovascular risk factors in a healthy population-base
201 stic information over and beyond traditional cardiovascular risk factors in a large, population-based
203 ographic (CT) angiography in relationship to cardiovascular risk factors in asymptomatic individuals
204 adjustment for age, sex, medication use, and cardiovascular risk factors in childhood (beta=0.15; P<0
206 erosclerosis and HIV-related and traditional cardiovascular risk factors in HIV-infected patients in
209 y be stronger in the presence of traditional cardiovascular risk factors in particular in individuals
211 ozin improved various glycaemic measures and cardiovascular risk factors in patients with type 2 diab
212 aper, we review the specific role of several cardiovascular risk factors in promoting oxidative stres
213 : the Seniors-ENRICA (Study on Nutrition and Cardiovascular Risk Factors in Spain) cohort (n = 1872),
214 ned the association of circulating ApoE with cardiovascular risk factors in the two population-based
217 ed cardiovascular events, and the control of cardiovascular risk factors in this context is essential
218 hts the importance of lifelong monitoring of cardiovascular risk factors in women with a history of p
219 ith calcified plaque burden (P < 0.0001) and cardiovascular risk factors including age (P < 0.0001),
220 Metabolic syndrome (MetS) is a cluster of cardiovascular risk factors including obesity, diabetes,
221 omial regression model adjusted for baseline cardiovascular risk factors, including blood pressure, a
222 ing was accompanied by beneficial changes in cardiovascular risk factors, including body mass index (
223 uninfected controls similar in age, sex, and cardiovascular risk factors, including diabetes mellitus
224 h reduced mortality was independent of other cardiovascular risk factors, including eGFR, and stronge
225 nd respiratory diseases implicate modifiable cardiovascular risk factors, including especially tobacc
226 [7.1] mg/dL) but higher proportions of other cardiovascular risk factors, including hypertension (10.
227 loid (cerebral amyloid angiopathy (CAA), and cardiovascular risk factors increase dementia risk.
231 eature of endothelial dysfunction induced by cardiovascular risk factors is reduced bioavailable endo
233 ortality than maximal MBF beyond traditional cardiovascular risk factors, left ventricular ejection f
234 d related traits suggesting that traditional cardiovascular risk factor management may only have limi
235 ustment for demographic factors, traditional cardiovascular risk factors, markers of kidney disease,
236 er time in most countries, the prevalence of cardiovascular risk factors may also be decreasing among
237 d abnormal HRR after adjusting for age, sex, cardiovascular risk factors, medications, and indication
238 ing the efficacy of this strategy for global cardiovascular risk factor modification are lacking.
240 rly adults without cardiovascular disease or cardiovascular risk factors (n=201), those with hyperten
243 tedly high overall prevalence of established cardiovascular risk factors (obesity, diabetes mellitus,
244 ary thrombophilia interacts with traditional cardiovascular risk factors on the risk of ATE has yet t
247 ners (n=45; age, 48+/-7 years; 64% with >/=1 cardiovascular risk factor) participated in a structured
248 atients with TSC were characterized by a low cardiovascular risk factor profile but with increased ch
249 d with decreases in cIMT and improvements in cardiovascular risk-factor profile, suggesting that weig
251 es are considerably high and associated with cardiovascular risk factors, rather than HIV-related fac
252 diet was more effective for weight loss and cardiovascular risk factor reduction than the low-fat di
253 uded adjustment for demographics, ethnicity, cardiovascular risk factors, serological studies, socioe
254 significant after adjustment for traditional cardiovascular risk factors, serum total testosterone an
256 dition of hs-GH to a model with conventional cardiovascular risk factors significantly reclassified r
257 x, ethnicity, socioeconomic characteristics, cardiovascular risk factors, site, and CT scanner techno
258 .02) or for age, sex, adulthood conventional cardiovascular risk factors, socioeconomic status, socia
259 ian persons and associated with conventional cardiovascular risk factors, stroke, and chronic kidney
260 bowel movements have been related to various cardiovascular risk factors such as dyslipidemia, hypert
262 eparate the contributions of obesity-related cardiovascular risk factors, such as diabetes and hypert
263 t not of (68)Ga-DOTATOC, was correlated with cardiovascular risk factors, suggesting a potential role
265 yocardial dysfunction above and beyond known cardiovascular risk factors that are clustered within th
266 ) participating in an international study of cardiovascular risk factors (the Multinational mONItorin
269 ents with cardiovascular disease or multiple cardiovascular risk factors, the treatment of obstructiv
270 o understand the contribution of preexisting cardiovascular risk factors to HF risk among NHL survivo
271 ch the relative contributions of traditional cardiovascular risk factors to incident cardiovascular d
272 rdiovascular disease in adults without known cardiovascular risk factors to inform the US Preventive
275 ert favourable results in a variety of other cardiovascular risk factors too, such as increased blood
276 ors reduce glycaemia and weight, and improve cardiovascular risk factors via different mechanisms.
277 nd for collection of baseline information on cardiovascular risk factors (via interviews and physical
283 cation, marital status, medical history, and cardiovascular risk factors was obtained from data manag
287 duration and at least three of ten specific cardiovascular risk factors were randomly assigned (via
288 ents with cardiovascular disease or multiple cardiovascular risk factors were recruited from cardiolo
292 Age, sex, race/ethnicity, and traditional cardiovascular risk factors were significant predictors
294 y lipoprotein-like lipoprotein and important cardiovascular risk factor whose cognate receptor and in
295 y lipoprotein-like lipoprotein and important cardiovascular risk factor whose cognate receptor and in
296 the metabolic syndrome (MetS) and component cardiovascular risk factors with the risk of developing
297 y disease-specific syndrome containing novel cardiovascular risk factors, with an impact reaching far
298 tcomes even after adjustment for traditional cardiovascular risk factors, with especially strong asso
299 ng CAC score to models including traditional cardiovascular risk factors, with only age being removed
300 group intervention had beneficial effects on cardiovascular risk factors, with significant improvemen
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