SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Perk Joep) ;pers:(Perk Joep 1945)"

Sökning: WFRF:(Perk Joep) > Perk Joep 1945

  • Resultat 1-10 av 48
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  •  
3.
  • Borghi, Claudio, et al. (författare)
  • Serum uric acid levels are associated with cardiovascular risk score : A post hoc analysis of the EURIKA study
  • 2018
  • Ingår i: International Journal of Cardiology. - : Elsevier. - 0167-5273 .- 1874-1754. ; 253, s. 167-173
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Reports are conflicting on whether serum uric acid (sUA) levels are independently associated with increased cardiovascular (CV) death risk. Methods: This post hoc analysis assessed the relationship between sUA levels and CV death risk score in 7531 patients from the cross-sectional, multinational EURIKA study (NCT00882336). Patients had at least one CV risk factor but no clinical CV disease. Ten-year risk of CV death was estimated using SCORE-HDL and SCORE algorithms, categorized as low (<1%), intermediate (1% to <5%), high (>5% to <10%) or very high (>10%). Results: Mean serum sUA levels increased significantly with increasing CV death risk category in the overall population and in subgroups stratified by diuretics use or renal function (all P < 0.0001). Multivariate ordinal logistic regression analyses, adjusted for factors significantly associated with CV death risk in univariate analyses (study country, body mass index, number of CV risk factors and comorbidities, use of lipid lowering therapies, antihypertensives and antidiabetics), showed a significant association between sUA levels and SCORE-HDL category in the overall population (OR: 1.39 [95% CI: 1.34-1.44]) and all subgroups (using diuretics: 1.32 [1.24-1.40]; not using diuretics: 1.46 [1.39-1.53]; estimated glomerular filtration rate [eGFR] < 60 ml/min/1.73 m(2): 1.30 [1.22-1.38]; eGFR >= 60 ml/min/1.73 m(2): 1.44 [1.38-1.51]; all P < 0.0001). Similar results were obtained when using SCORE. Conclusions: Higher sUA levels are associated with progressively higher 10-year CV death risk score in patients with at least one CV risk factor but no CV disease. (c) 2017 Elsevier B.V. All rights reserved.
  •  
4.
  •  
5.
  • Dallongeville, Jean, et al. (författare)
  • Survey of physicians' practices in the control of cardiovascular risk factors : the EURIKA study.
  • 2012
  • Ingår i: European journal of preventive cardiology. - : Oxford University Press (OUP). - 2047-4881 .- 2047-4873. ; 19:3, s. 541-550
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVES: To assess the practices of physicians in 12 European countries in the primary prevention of cardiovascular disease (CVD).METHODS: In 2009, 806 physicians from 12 European countries answered a questionnaire, delivered electronically or by post, regarding their assessment of patients with cardiovascular risk factors, and their use of risk calculation tools and clinical practice guidelines (ClinicalTrials.gov number: NCT00882336). Approximately 60 physicians per country were selected (participation rate varied between 3.1% in Sweden and 22.8% in Turkey).RESULTS: Among participating physicians, 85.2% reported using at least one clinical guideline for CVD prevention. The most popular were the ESC guidelines (55.1%). Reasons for not using guidelines included: the wide choice available (47.1%), time constraints (33.3%), lack of awareness of guidelines (27.5%), and perception that guidelines are unrealistic (23.5%). Among all physicians, 68.5% reported using global risk calculation tools. Written charts were the preferred method (69.4%) and the most commonly used was the SCORE equation (35.4%). Reasons for not using equations included time constraints (59.8%), not being convinced of their usefulness (21.7%) and lack of awareness (19.7%). Most physicians (70.8%) believed that global risk-equations have limitations; 89.8% that equations overlook important risk factors, and 66.5% that they could not be used in elderly patients. Only 46.4% of physicians stated that their local healthcare framework was sufficient for primary prevention of CVD, while 67.2% stated that it was sufficient for secondary prevention of CVD.CONCLUSIONS: A high proportion of physicians reported using clinical guidelines for primary CVD prevention. However, time constraints, lack of perceived usefulness and inadequate knowledge were common reasons for not using CVD prevention guidelines or global CVD risk assessment tools.
  •  
6.
  • De Backer, Guy, et al. (författare)
  • A short history of the European Association of Preventive Cardiology (EAPC)
  • 2022
  • Ingår i: European Journal of Preventive Cardiology. - : Oxford University Press. - 2047-4873 .- 2047-4881. ; 29:9, s. 1301-1308
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • The EAPC is now fit to address future challenges with a unified organization and strong multidisciplinary leadership together with the EJPC, the annual ESC Preventive Cardiology Congress, strong representation of preventive cardiology in the annual ESC Congresses, the ESC Textbook and Handbook of Preventive Cardiology, postgraduate educational activities, position papers and involvement in guidelines related to all aspects of preventive cardiology together with accreditations and a core curriculum for preventive cardiology as major assets under a common brand addressing primordial, primary, and secondary prevention of CVD. 
  •  
7.
  • Guallar, Eliseo, et al. (författare)
  • Excess risk attributable to traditional cardiovascular risk factors in clinical practice settings across Europe : The EURIKA Study
  • 2011
  • Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 18:11
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundPhysicians involved in primary prevention are key players in CVD risk control strategies, but the expected reduction in CVD risk that would be obtained if all patients attending primary care had their risk factors controlled according to current guidelines is unknown. The objective of this study was to estimate the excess risk attributable, firstly, to the presence of CVD risk factors and, secondly, to the lack of control of these risk factors in primary prevention care across Europe.MethodsCross-sectional study using data from the European Study on Cardiovascular Risk Prevention and Management in Daily Practice (EURIKA), which involved primary care and outpatient clinics involved in primary prevention from 12 European countries between May 2009 and January 2010. We enrolled 7,434 patients over 50 years old with at least one cardiovascular risk factor but without CVD and calculated their 10-year risk of CVD death according to the SCORE equation, modified to take diabetes risk into account.ResultsThe average 10-year risk of CVD death in study participants (N = 7,434) was 8.2%. Hypertension, hyperlipidemia, smoking, and diabetes were responsible for 32.7 (95% confidence interval 32.0-33.4), 15.1 (14.8-15.4), 10.4 (9.9-11.0), and 16.4% (15.6-17.2) of CVD risk, respectively. The four risk factors accounted for 57.7% (57.0-58.4) of CVD risk, representing a 10-year excess risk of CVD death of 5.66% (5.47-5.85). Lack of control of hypertension, hyperlipidemia, smoking, and diabetes were responsible for 8.8 (8.3-9.3), 10.6 (10.3-10.9), 10.4 (9.9-11.0), and 3.1% (2.8-3.4) of CVD risk, respectively. Lack of control of the four risk factors accounted for 29.2% (28.5-29.8) of CVD risk, representing a 10-year excess risk of CVD death of 3.12% (2.97-3.27).ConclusionsLack of control of CVD risk factors was responsible for almost 30% of the risk of CVD death among patients participating in the EURIKA Study.
  •  
8.
  • Halcox, Julian P., et al. (författare)
  • Prevalence and treatment of atherogenic dyslipidemia in the primary prevention of cardiovascular disease in Europe : EURIKA, a cross-sectional observational study
  • 2017
  • Ingår i: BMC Cardiovascular Disorders. - : BioMed Central. - 1471-2261 .- 1471-2261. ; 17
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Atherogenic dyslipidemia is associated with poor cardiovascular outcomes, yet markers of this condition are often ignored in clinical practice. Here, we address a clear evidence gap by assessing the prevalence and treatment of two markers of atherogenic dyslipidemia: elevated triglyceride levels and low levels of high-density lipoprotein cholesterol. Methods: This cross-sectional observational study assessed the prevalence of two atherogenic dyslipidemia markers, high triglyceride levels and low high-density lipoprotein cholesterol levels, in the study population from the European Study on Cardiovascular Risk Prevention and Management in Usual Daily Practice (EURIKA; N = 7641; of whom 51.6% were female and 95.6% were White/Caucasian). The EURIKA population included European patients, aged at least 50 years with at least one cardiovascular risk factor but no history of cardiovascular disease. Results: Over 20% of patients from the EURIKA population have either triglyceride or high-density lipoprotein cholesterol levels characteristic of atherogenic dyslipidemia. Furthermore, the proportions of patients with one of these markers were higher in subpopulations with type 2 diabetes mellitus or those already calculated to be at high risk of cardiovascular disease. Approximately 55% of the EURIKA population who have markers of atherogenic dyslipidemia are not receiving lipid-lowering therapy. Conclusions: A considerable proportion of patients with at least one major cardiovascular risk factor in the primary cardiovascular disease prevention setting have markers of atherogenic dyslipidemia. The majority of these patients are not receiving optimal treatment, as specified in international guidelines, and thus their risk of developing cardiovascular disease is possibly underestimated.
  •  
9.
  •  
10.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-10 av 48

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy