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      <comment>Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland            
            Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland            
            Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland            
            Department of Epidemiology and Public Health, University College London, London, United Kingdom            
            Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom            
            Department of Public Health, University of Turku, Turku, Finland            
            Ageing Epidemiology Research Unit, Imperial College London, London, United Kingdom            
            Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France            
            1st Department of Medicine, Semmelweis University Faculty of Medicine, Budapest, Hungary            
            School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, United States            
            Cited By :1            
            Export Date: 21 November 2021            
            Correspondence Address: Lindbohm, J.V.; Clinicum, Finland; email: joni.lindbohm@helsinki.fi</comment>
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      <title>Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study</title>
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      <abstractText>Background Evaluation of cardiovascular disease risk in primary care, which is recommended every 5 years in middle-aged and older adults (typical age range 40-75 years), is based on risk scores, such as the European Society of Cardiology Systematic Coronary Risk Evaluation (SCORE) and American College of Cardiology/American Heart Association Atherosclerotic Cardiovascular Disease (ASCVD) algorithms. This evaluation currently uses only the most recent risk factor assessment. We aimed to examine whether 5-year changes in SCORE and ASCVD risk scores are associated with future cardiovascular disease risk. Methods We analysed data from the Whitehall II longitudinal, prospective cohort study for individuals with no history of stroke, myocardial infarction, coronary artery bypass graft, percutaneous coronary intervention, definite angina, heart failure, or peripheral artery disease. Participants underwent clinical examinations in 5-year intervals between Aug 7, 1991, and Dec 6, 2016, and were followed up for incident cardiovascular disease until Oct 2, 2019. Levels of, and 5-year changes in, cardiovascular disease risk were assessed using the SCORE and ASCVD risk scores and were analysed as predictors of cardiovascular disease. Harrell's C index, continuous net reclassification improvement, the Akaike information criterion, and calibration analysis were used to assess whether incorporating change in risk scores into a model including only a single risk score assessment improved the predictive performance. We assessed the levels of, and 5-year changes in, SCORE and ASCVD risk scores as predictors of cardiovascular disease and disease-free life-years using Cox proportional hazards and flexible parametric survival models. Findings 7574 participants (5233 [69 center dot 1%] men, 2341 [30 center dot 9%] women) aged 40-75 years were included in analyses of risk score change between April 24, 1997, and Oct 2, 2019. During a mean follow-up of 18 center dot 7 years (SD 5 center dot 5), 1441 (19 center dot 0%; 1042 [72 center dot 3%] men and 399 [27 center dot 7%] women) participants developed cardiovascular disease. Adding 5-year change in risk score to a model that included only a single risk score assessment improved model performance according to Harrell's C index (from 0 center dot 685 to 0 center dot 690, change 0 center dot 004 [95% CI 0 center dot 000 to 0 center dot 008] for SCORE; from 0 center dot 699 to 0 center dot 700, change 0 center dot 001 [0 center dot 000 to 0 center dot 003] for ASCVD), the Akaike information criterion ( from 17 255 to 17 200, change -57 [95% CI -97 to -13] for SCORE; from 14 739 to 14 729, change -10 [-28 to 7] for ASCVD), and the continuous net reclassification index (0 center dot 353 [95% CI 0 center dot 234 to 0 center dot 447] for SCORE; 0 center dot 232 [0 center dot 030 to 0 center dot 344] for ASCVD). Both favourable and unfavourable changes in SCORE and ASCVD were associated with cardiovascular disease risk and disease-free life-years. The associations were seen in both sexes and all age groups up to the age of 75 years. At the age of 45 years, each 2-unit improvement in risk scores was associated with an additional 1 center dot 3 life-years (95% CI 0 center dot 4 to 2 center dot 2) free of cardiovascular disease for SCORE and an additional 0 center dot 9 life-years (95% CI 0 center dot 5 to 1 center dot 3) for ASCVD. At age 65 years, this same improvement was associated with an additional 0 center dot 4 life-years (95% CI 0 center dot 0 to 0 center dot 7) free of cardiovascular disease for SCORE and 0 center dot 3 life-years (95% CI 0 center dot 1 to 0 center dot 5) for ASCVD. These models were developed into an interactive calculator, which enables estimation of the number of cardiovascular disease-free life-years for an individual as a function of two risk score measurements. Interpretation Changes in the SCORE and ASCVD risk scores over time inform cardiovascular disease risk prediction beyond a single risk score assessment. Repeat data might allow more accurate cardiovascular risk stratification and strengthen the evidence base for decisions on preventive interventions. Copyright (c) 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.</abstractText>
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							&lt;span class=&quot;author-name&quot; &gt;Pentti Jaana
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Nyberg Solja T.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Frank Philipp
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Ahmadi-Abhari Sara
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Brunner Eric J.
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Shipley Martin J.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Singh-Manoux Archana
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; mtid=&quot;10024030&quot;&gt;&lt;a 
																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10024030&quot; target=&quot;_blank&quot;&gt;Tabak Adam G.
            (&lt;span class=&quot;authorship-author-name&quot;&gt;Tabák Ádám&lt;/span&gt;
            &lt;span class=&quot;authorAux-mtmt&quot;&gt; belgyógyászat, diabetológia&lt;/span&gt;)
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Általános Orvostudományi Kar&quot;&gt;AOK&lt;/span&gt;/&lt;span title=&quot;Klinikum&quot;&gt;K&lt;/span&gt;/Belgyógyászati és Onkológiai Klinika&lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Batty G. David
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Kivimaki Mika
    &lt;/span&gt;

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&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;32111711&quot; target=&quot;_blank&quot;&gt;Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study&lt;/a&gt;&lt;/div&gt;    &lt;div&gt;		&lt;span class=&quot;journal-title&quot;&gt;LANCET DIGITAL HEALTH&lt;/span&gt;

        &lt;span class=&quot;journal-issn&quot;&gt;( &lt;a target=&quot;_blank&quot; href=&quot;https://portal.issn.org/resource/ISSN/2589-7500&quot;&gt;2589-7500&lt;/a&gt;)&lt;/span&gt;:
		&lt;span class=&quot;journal-volume&quot;&gt;3&lt;/span&gt; &lt;span class=&quot;journal-issue&quot;&gt;7&lt;/span&gt;
&lt;span class=&quot;page&quot;&gt;
	pp E434-E444
			
&lt;/span&gt;		 &lt;span class=&quot;year&quot;&gt;(2021)&lt;/span&gt;  
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&lt;div class=&quot;pub-footer&quot;&gt;
    

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			Angol
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									DOI
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				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Health Informatics&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;D1&lt;/div&gt;
				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Health Information Management&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;D1&lt;/div&gt;
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Forrás	 Idéző
	
	
    | &lt;span class=&quot;type-subtype&quot;&gt;Folyóiratcikk
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      		| &lt;span class=&quot;pub-category&quot;&gt;Tudományos&lt;/span&gt;
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&lt;div class=&quot;lastModified&quot;&gt;Utolsó módosítás: 2021.07.24. 13:25 Molnár-Taga Márta (SE 4-es admin)
&lt;/div&gt;




	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Megjegyzés&lt;/u&gt;: Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland            
            Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland            
            Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland            
            Department of Epidemiology and Public Health, University College London, L...&lt;/pre&gt;
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