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1 allopurinol, and had at least one additional cardiovascular risk factor.
2 T2D), and diabetic kidney disease is a major cardiovascular risk factor.
3 s >/=55 years of age with at least one other cardiovascular risk factor.
4 ) is associated with lower renal function, a cardiovascular risk factor.
5 particulate matter exposure is a modifiable cardiovascular risk factor.
6 ence of, or in addition to, well-established cardiovascular risk factors.
7 1.03 to 1.20; p = 0.006) after adjusting for cardiovascular risk factors.
8 d apoB concentrations and other conventional cardiovascular risk factors.
9 xamined the simultaneous trends in important cardiovascular risk factors.
10 notypes vary according to sex, age and major cardiovascular risk factors.
11 th either previous cardiovascular disease or cardiovascular risk factors.
12 erable to the adverse effects of traditional cardiovascular risk factors.
13 r age, sex, cohort, and classical modifiable cardiovascular risk factors.
14 mic inflammatory biomarkers and conventional cardiovascular risk factors.
15 onceptually as an accelerator of traditional cardiovascular risk factors.
16 for patients with serious mental illness and cardiovascular risk factors.
17 as compared with calcified plaque burden and cardiovascular risk factors.
18 ly adjusted for each other, and conventional cardiovascular risk factors.
19 Midlife and concurrent cardiovascular risk factors.
20 lated to AF independent of demographical and cardiovascular risk factors.
21 onfounding influence of variable exposure to cardiovascular risk factors.
22 rosclerosis and is linked to the presence of cardiovascular risk factors.
23 n the top-20 lists as opposed to traditional cardiovascular risk factors.
24 t the whole disease spectrum, independent of cardiovascular risk factors.
25 ot benefited equally from efforts to control cardiovascular risk factors.
26 severity, infarct volume, brain volume, and cardiovascular risk factors.
27 djusted for potential confounders, including cardiovascular risk factors.
28 diabetic patients had a higher prevalence of cardiovascular risk factors.
29 ultivariable models adjusted for established cardiovascular risk factors.
30 and low risk of cardiac events, according to cardiovascular risk factors.
31 coronary heart disease after adjustment for cardiovascular risk factors.
32 or age, sex, education, diabetes status, and cardiovascular risk factors.
33 iovascular events independent of traditional cardiovascular risk factors.
34 factors, cardiac structure and function, and cardiovascular risk factors.
35 and low socioeconomic status as synergistic cardiovascular risk factors.
36 n dose to the heart, chemotherapy, and other cardiovascular risk factors.
37 own that obesity is associated with multiple cardiovascular risk factors.
38 yses were adjusted for mean LDL-C levels and cardiovascular risk factors.
39 ustment for age or additional adjustment for cardiovascular risk factors.
40 c differences in socioeconomic status and/or cardiovascular risk factors.
41 ulations with high prevalence of traditional cardiovascular risk factors.
42 rds models were adjusted for demographic and cardiovascular risk factors.
43 the risk was attenuated after adjusting for cardiovascular risk factors.
44 56-80] years) and had a higher prevalence of cardiovascular risk factors.
45 ion models adjusted for sociodemographic and cardiovascular risk factors.
46 ion after adjustment for CRF and traditional cardiovascular risk factors.
47 ntrolling for traditional and nontraditional cardiovascular risk factors.
48 and improved management of blood glucose and cardiovascular risk factors.
49 rdiovascular diseases, which share classical cardiovascular risk factors.
50 re type, treatment indication, age, sex, and cardiovascular risk factors.
51 years, which persisted after adjustment for cardiovascular risk factors.
52 controls for MPN type, driver mutations and cardiovascular risk factors.
53 el use, apart from adjusting for traditional cardiovascular risk factors.
54 ned using Cox regression models adjusted for cardiovascular risk factors.
55 g osteopontin adds moderately to traditional cardiovascular risk factors.
56 ion that was unaccounted for by conventional cardiovascular risk factors.
57 young American Indians with a low burden of cardiovascular risk factors.
58 failure outcomes independent of traditional cardiovascular risk factors.
59 y for management of blood pressure and other cardiovascular risk factors.
60 with cisgender men, even after adjusting for cardiovascular risk factors.
61 events after adjusting for demographics and cardiovascular risk factors.
62 n between CAVS, coronary artery disease, and cardiovascular risk factors.
64 riable analyses adjusted for albuminuria and cardiovascular risk factors, a baseline NAG ratio in the
66 pite wide heterogeneity in the prevalence of cardiovascular risk factors across different regions, CV
67 case scenario to examine female sex-specific cardiovascular risk factors across the lifespan and desc
68 rosclerotic cardiovascular disease, multiple cardiovascular risk factors, aged at least 70 years, and
69 calibration were tested for five models: the Cardiovascular Risk Factors, Aging and Dementia risk sco
70 included 1,449 participants from the Finnish Cardiovascular Risk Factors, Aging, and Dementia (CAIDE)
71 we investigated the relationship between the Cardiovascular Risk Factors, Aging, and Dementia (CAIDE)
72 sis and management of hypertension, a common cardiovascular risk factor among the general population,
73 ars were not associated with lower levels of cardiovascular risk factors among offspring when they we
75 r predicted absolute cardiovascular risk and cardiovascular risk factors among US adults in different
77 with hydrochlorothiazide, without any other cardiovascular risk factor and with neither personal nor
78 azard ratios (HRs) for 12 CVDs, adjusted for cardiovascular risk factors and acute conditions affecti
79 haracterisation and define the role of other cardiovascular risk factors and advanced subclinical cor
80 ion models adjusted for age, sex, education, cardiovascular risk factors and APOE epsilon4 status.
82 y and secondary prevention cohorts, compared cardiovascular risk factors and care between rural and u
83 age/sex-matched controls were evaluated for cardiovascular risk factors and carotid plaque on ultras
84 r environmental factors, and to test whether cardiovascular risk factors and CHD are likely to be cau
85 s the optimal management of CVD by worsening cardiovascular risk factors and decreasing adherence to
86 randomized controlled trials on red meat and cardiovascular risk factors and determine whether the re
88 usly preeclamptic women have more modifiable cardiovascular risk factors and develop CAC ~5 years ear
89 lineated the association between traditional cardiovascular risk factors and development of aortic st
90 h as trastuzumab is predicted by preexisting cardiovascular risk factors and disease, posing the ques
91 ociations of progression rates with baseline cardiovascular risk factors and estimated 10-year risk.
94 ased diets are associated with lower risk of cardiovascular risk factors and incident cardiovascular
95 examined the association between traditional cardiovascular risk factors and incident severe AS in a
97 F subtypes, after adjustment for traditional cardiovascular risk factors and interval incidence of my
99 e associations between childhood/adolescence cardiovascular risk factors and midlife cognitive perfor
100 roved to treat obesity, but their effects on cardiovascular risk factors and outcomes are not well de
103 in FD is associated with a higher burden of cardiovascular risk factors and preclinical indices of C
104 and remained significant after adjusting for cardiovascular risk factors and psoriasis severity (beta
105 ically evaluated the association of standard cardiovascular risk factors and SCA, and sports as a tri
106 Besides its associations with traditional cardiovascular risk factors and stroke, associations bet
107 We evaluated the impact of living in FD on cardiovascular risk factors and subclinical cardiovascul
108 ctional associations between urinary NAG and cardiovascular risk factors and the longitudinal associa
109 risk biomarker is independent of traditional cardiovascular risk factors and unaffected by antiplatel
110 ed deep venous thrombosis, 91% (279/306) had cardiovascular risk factors, and 10% (16/151) presented
111 model, adjusting for age, sex, demographics, cardiovascular risk factors, and apolipoprotein E genoty
112 bnormal blood glucose levels and diabetes as cardiovascular risk factors, and application of the guid
113 ge, sex, living alone, education, lifestyle, cardiovascular risk factors, and baseline Questionnaire
115 tegies (healthy lifestyles, modifications to cardiovascular risk factors, and educational and screeni
116 ears with hypertension, at least three other cardiovascular risk factors, and fasting total cholester
117 ression analyses adjusting for demographics, cardiovascular risk factors, and left ventricular (LV) m
118 s were similar for clinical characteristics, cardiovascular risk factors, and pharmacological treatme
119 vity C-reactive protein (hsCRP), traditional cardiovascular risk factors, and the CD4/CD8 T-cell rati
120 evalence secondary to advanced maternal age, cardiovascular risk factors, and the successful manageme
121 Here, we review interactions between SVD and cardiovascular risk factors, and we discuss the evidence
122 ificant predictor after adjustment for other cardiovascular risk factors, angiography result, or stra
125 ionally representative data, we assessed how cardiovascular risk factors are distributed across subpo
126 gh reduced cardiac output and high burden of cardiovascular risk factors are the prevailing explanati
127 enetic determinants of blood lipids, a major cardiovascular risk factor, are shared across population
128 the relationship of regional NAA levels and cardiovascular risk factors as indexed by the Framingham
130 he association between being transgender and cardiovascular risk factors, as well as myocardial infar
133 ociation exists between decreasing number of cardiovascular risk factors at target and major adverse
135 E/VCO2(nadir)) were directly associated with cardiovascular risk factor burden (smoking, Framingham c
136 cy complications but also women with greater cardiovascular risk factor burden after pregnancy regard
138 myocardial injury were younger and had fewer cardiovascular risk factors but had more noncardiovascul
139 ng, gathering, fishing, and farming with few cardiovascular risk factors, but high infectious inflamm
140 I, patients with UMI had a similar burden of cardiovascular risk factors, but significantly lower lef
142 racteristics (renal and cardiac involvement, cardiovascular risk factors, cardiac complications, BAD)
143 I adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics an
144 e adjusting for demographic characteristics, cardiovascular risk factors, clinical characteristics, a
145 over, we compared patient age, prevalence of cardiovascular risk factors, clinical stroke severity, i
146 r covariate adjustment and matching for age, cardiovascular risk factors, comorbidities, disease seve
147 ut oil consumption on blood lipids and other cardiovascular risk factors compared with other cooking
148 adults experience disparities across several cardiovascular risk factors compared with their cisgende
149 rior angiogram, 72 LT recipients matched for cardiovascular risk factors (control group I), and 119 c
151 urgical risk scores but a higher rate of all cardiovascular risk factors, coronary disease, and myoca
152 the overall and marginal impact of favorable cardiovascular risk factor (CRF) profile on healthcare e
156 ression analysis controlling for traditional cardiovascular risk factors (CVRF) performed to assess f
157 ore (FRS) in 2,554 patients with one or more cardiovascular risk factors (CVRF), free of cardiovascul
158 erosclerosis improves risk prediction beyond cardiovascular risk factors (CVRFs) and risk scores, but
160 activity and improving diet on intermediate cardiovascular risk factors depending on individual CAD
162 ine characteristics or strata of traditional cardiovascular risk factors did not show relevant differ
163 ar events, mortality, subjective well-being, cardiovascular risk factors, diet and physical activity
164 cs, lifestyle factors and co-morbidities and cardiovascular risk factors/diseases were included.
167 erfiltration, insulin sensitivity, and other cardiovascular risk factors, effects that might translat
170 populations, poor, and have higher rates of cardiovascular risk factors, especially smoking and hype
171 edian 6 versus 8), and a lower prevalence of cardiovascular risk factors, except for a higher prevale
172 on, self-rated health, drug and alcohol use, cardiovascular risk factors, experience of sexual violen
176 wly diagnosed type 2 diabetes and additional cardiovascular risk factors, glycated haemoglobin of up
181 ntraindividual visit-to-visit variability of cardiovascular risk factors has been dismissed as random
182 centrations, but beneficial effects on other cardiovascular risk factors have also been suggested.
183 tablish whether differences in treatment and cardiovascular risk factors have been maintained and to
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
189 95% CI, 1.01-2.15), and 3 or more component cardiovascular risk factors (HR, 1.58; 95% CI, 1.13-2.33
190 HF compared with those with none (for 1 v 0 cardiovascular risk factors: HR, 1.63; 95% CI, 1.07 to 2
191 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
192 among adults without obesity who do not have cardiovascular risk factors (hypertension, dyslipidemia,
193 CI, 1.29-4.78) after adjusting for age, sex, cardiovascular risk factors (hypertension, hypercholeste
194 ents regarding drug safety, effects on major cardiovascular risk factors, impact on cardiovascular ou
195 mulative chemotherapy dosage and traditional cardiovascular risk factors, improves the identification
196 stic information over and beyond traditional cardiovascular risk factors in a large, population-based
197 ouseholds in two questionnaires, and data on cardiovascular risk factors in a third questionnaire, wh
202 sease, such as the high rates of traditional cardiovascular risk factors in patients with HIV infecti
203 ozin improved various glycaemic measures and cardiovascular risk factors in patients with type 2 diab
204 aper, we review the specific role of several cardiovascular risk factors in promoting oxidative stres
206 ay be explained by the younger age and fewer cardiovascular risk factors in smokers compared with non
207 The differences in prescribed treatment and cardiovascular risk factors in the 5 years following dia
210 ed cardiovascular events, and the control of cardiovascular risk factors in this context is essential
211 hts the importance of lifelong monitoring of cardiovascular risk factors in women with a history of p
212 ith calcified plaque burden (P < 0.0001) and cardiovascular risk factors including age (P < 0.0001),
213 9; p < 0.001), independently of conventional cardiovascular risk factors including circulating plasma
214 istics related to heart disease, stroke, and cardiovascular risk factors, including core health behav
215 uninfected controls similar in age, sex, and cardiovascular risk factors, including diabetes mellitus
216 h reduced mortality was independent of other cardiovascular risk factors, including eGFR, and stronge
217 y syndrome (PCOS) is a complex syndrome with cardiovascular risk factors, including obesity and insul
218 ng cardiovascular disease and/or traditional cardiovascular risk factors, including obesity, diabetes
219 loid (cerebral amyloid angiopathy (CAA), and cardiovascular risk factors increase dementia risk.
221 ortality than maximal MBF beyond traditional cardiovascular risk factors, left ventricular ejection f
223 d related traits suggesting that traditional cardiovascular risk factor management may only have limi
224 er time in most countries, the prevalence of cardiovascular risk factors may also be decreasing among
225 den, even after comprehensive adjustment for cardiovascular risk factors, medications, and establishe
228 ing the efficacy of this strategy for global cardiovascular risk factor modification are lacking.
229 With the notable exception of heart rate, cardiovascular risk factors must now be defined by 2 com
232 tedly high overall prevalence of established cardiovascular risk factors (obesity, diabetes mellitus,
233 FAPI signals correlated with the presence of cardiovascular risk factors (odds ratio [OR], 4.3, P=0.0
235 en accounting for the effects of traditional cardiovascular risk factors on atrial fibrillation.
236 n the potential composite effect of multiple cardiovascular risk factors on cognition, we examined th
237 as a biomarker that tracks the influence of cardiovascular risk factors on white matter prior to eme
240 s with typical angina and either two or more cardiovascular risk factors or a positive exercise tread
241 on between breast arterial calcification and cardiovascular risk factors or coronary artery disease,
242 1; 95% confidence interval [CI], 1.30-8.92), cardiovascular risk factors (OR, 5.05; 95% CI, 1.90-13.3
244 asure the cardiovascular risk management and cardiovascular risk factor outcomes of the health check
245 ustained reductions in glycaemia and related cardiovascular risk factors over 10 years among people w
246 rtality after adjustment for demographic and cardiovascular risk factors, overall and stratified by d
247 ty was significantly higher in patients with cardiovascular risk factors (overweight [OR, 2.6, P=0.02
251 luded demographic and socioeconomic factors, cardiovascular risk factors, presence of coronary heart
252 ally adjusted, and additionally adjusted for cardiovascular risk factors (pulse pressure, total/high
254 uded adjustment for demographics, ethnicity, cardiovascular risk factors, serological studies, socioe
255 clinical model (CM) composed of conventional cardiovascular risk factors, showing an IDI of 0.047 and
257 x, ethnicity, socioeconomic characteristics, cardiovascular risk factors, site, and CT scanner techno
258 tions between atlas principal components and cardiovascular risk factors (smoking, diabetes, high blo
259 .02) or for age, sex, adulthood conventional cardiovascular risk factors, socioeconomic status, socia
260 ian persons and associated with conventional cardiovascular risk factors, stroke, and chronic kidney
266 rtunately, current interventions that target cardiovascular risk factors (such as anti-hypertensive d
267 ice, smoking cessation, and control of known cardiovascular risk factors, such as blood pressure and
268 eparate the contributions of obesity-related cardiovascular risk factors, such as diabetes and hypert
270 in patients treated to optimal contemporary cardiovascular risk factor targets, indicating that the
273 al studies, age is the single most important cardiovascular risk factor that dwarfs the impact of tra
274 ) participating in an international study of cardiovascular risk factors (the Multinational mONItorin
277 usions are associated with increased age and cardiovascular risk factors, their pathophysiology, syst
278 n Survey (SANHANES) to assign information on cardiovascular risk factors to each member of the simula
279 dels adjusted for HDL cholesterol levels and cardiovascular risk factors to estimate odds ratios (ORs
280 o understand the contribution of preexisting cardiovascular risk factors to HF risk among NHL survivo
281 rdiovascular disease in adults without known cardiovascular risk factors to inform the US Preventive
283 s that might account for the contribution of cardiovascular risk factors to the most severe outcomes
284 ert favourable results in a variety of other cardiovascular risk factors too, such as increased blood
285 Mixed effect models were used to compare cardiovascular risk factor trajectories for women accord
286 ors reduce glycaemia and weight, and improve cardiovascular risk factors via different mechanisms.
288 usion Except for smoking, traditional common cardiovascular risk factors were associated with a highe
289 ure, and extensive STEMI, while male sex and cardiovascular risk factors were associated with decreas
292 ad either a previous cardiovascular event or cardiovascular risk factors were randomly assigned (1:1)
293 ad either a previous cardiovascular event or cardiovascular risk factors were randomly assigned (1:1)
294 duration and at least three of ten specific cardiovascular risk factors were randomly assigned (via
297 y lipoprotein-like lipoprotein and important cardiovascular risk factor whose cognate receptor and in
298 ng CAC score to models including traditional cardiovascular risk factors, with only age being removed
299 group intervention had beneficial effects on cardiovascular risk factors, with significant improvemen