12 results on '"Cesana, Giancarlo"'
Search Results
2. Association of glycated hemoglobin A1c levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium.
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Sinning, Christoph, Makarova, Nataliya, Völzke, Henry, Schnabel, Renate B., Ojeda, Francisco, Dörr, Marcus, Felix, Stephan B., Koenig, Wolfgang, Peters, Annette, Rathmann, Wolfgang, Schöttker, Ben, Brenner, Hermann, Veronesi, Giovanni, Cesana, Giancarlo, Brambilla, Paolo, Palosaari, Tarja, Kuulasmaa, Kari, Njølstad, Inger, Mathiesen, Ellisiv Bøgeberg, and Wilsgaard, Tom
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GLYCOSYLATED hemoglobin ,CARDIOVASCULAR diseases risk factors ,CARDIOVASCULAR disease related mortality ,CARDIOVASCULAR diseases ,RISK assessment - Abstract
Background: Biomarkers may contribute to improved cardiovascular risk estimation. Glycated hemoglobin A
1c (HbA1c ) is used to monitor the quality of diabetes treatment. Its strength of association with cardiovascular outcomes in the general population remains uncertain. This study aims to assess the association of HbA1c with cardiovascular outcomes in the general population. Methods: Data from six prospective population-based cohort studies across Europe comprising 36,180 participants were analyzed. HbA1c was evaluated in conjunction with classical cardiovascular risk factors (CVRFs) for association with cardiovascular mortality, cardiovascular disease (CVD) incidence, and overall mortality in subjects without diabetes (N = 32,496) and with diabetes (N = 3684). Results: Kaplan–Meier curves showed higher event rates with increasing HbA1c levels (log-rank-test: p < 0.001). Cox regression analysis revealed significant associations between HbA1c (in mmol/mol) in the total study population and the examined outcomes. Thus, a hazard ratio (HR) of 1.16 (95% confidence interval (CI) 1.02–1.31, p = 0.02) for cardiovascular mortality, 1.13 (95% CI 1.03–1.24, p = 0.01) for CVD incidence, and 1.09 (95% CI 1.02–1.17, p = 0.01) for overall mortality was observed per 10 mmol/mol increase in HbA1c . The association with CVD incidence and overall mortality was also observed in study participants without diabetes with increased HbA1c levels (HR 1.12; 95% CI 1.01–1.25, p = 0.04) and HR 1.10; 95% CI 1.01–1.20, p = 0.02) respectively. HbA1c cut-off values of 39.9 mmol/mol (5.8%), 36.6 mmol/mol (5.5%), and 38.8 mmol/mol (5.7%) for cardiovascular mortality, CVD incidence, and overall mortality, showed also an increased risk. Conclusions: HbA1c is independently associated with cardiovascular mortality, overall mortality and cardiovascular disease in the general European population. A mostly monotonically increasing relationship was observed between HbA1c levels and outcomes. Elevated HbA1c levels were associated with cardiovascular disease incidence and overall mortality in participants without diabetes underlining the importance of HbA1c levels in the overall population. [ABSTRACT FROM AUTHOR]- Published
- 2021
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3. Decomposing the educational gradient in allostatic load across European populations. What matters the most: differentials in exposure or in susceptibility?
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Veronesi, Giovanni, Kee, Frank, Hicks, Blanaid, Forrest, Hannah, Tunstall-Pedoe, Hugh, Kuulasmaa, Kari, Sans, Susana, Salomaa, Veikko, Thorand, Barbara, Di Castelnuovo, Augusto, Soderberg, Stefan, Cesana, Giancarlo, Bobak, Martin, De Ponti, Roberto, Iacoviello, Licia, Palmieri, Luigi, Zeller, Tanja, Blankenberg, Stefan, and Ferrario, Marco M.
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COMPLICATIONS of alcoholism ,PSYCHOLOGICAL stress ,INFLAMMATION ,PHYSIOLOGICAL adaptation ,BIOMARKERS ,CARDIOVASCULAR diseases risk factors ,CONFIDENCE intervals ,DISEASE susceptibility ,METABOLIC disorders ,SEX distribution ,SMOKING ,SOCIOECONOMIC factors ,EDUCATIONAL attainment ,CROSS-sectional method ,DESCRIPTIVE statistics - Published
- 2020
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4. Determinants of social inequalities in stroke incidence across Europe: a collaborative analysis of 126 635 individuals from 48 cohort studies.
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Ferrario, Marco M., Veronesi, Giovanni, Kee, Frank, Chambless, Lloyd E., Kuulasmaa, Kari, Jørgensen, Torben, Amouyel, Philippe, Arveiler, Dominique, Bobak, Martin, Cesana, Giancarlo, Drygas, Wojciech, Ferrieres, Jean, Giampaoli, Simona, Iacoviello, Licia, Yuri Nikitin, Pajak, Andrzej, Peters, Annette, Salomaa, Veikko, Soderberg, Stefan, and Tamosiunas, Abdonas
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STROKE risk factors ,CONFIDENCE intervals ,HEALTH services accessibility ,HEALTH status indicators ,PROBABILITY theory ,STROKE ,SECONDARY analysis ,DATA analysis software ,HEALTH & social status ,DESCRIPTIVE statistics ,ODDS ratio - Published
- 2017
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5. Cost-effectiveness of applying high-sensitivity troponin I to a score for cardiovascular risk prediction in asymptomatic population.
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Jülicher P, Makarova N, Ojeda F, Giusepi I, Peters A, Thorand B, Cesana G, Jørgensen T, Linneberg A, Salomaa V, Iacoviello L, Costanzo S, Söderberg S, Kee F, Giampaoli S, Palmieri L, Donfrancesco C, Zeller T, Kuulasmaa K, Tuovinen T, Lamrock F, Conrads-Frank A, Brambilla P, Blankenberg S, and Siebert U
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- Humans, Male, Female, Middle Aged, Risk Assessment methods, Biomarkers blood, Aged, Quality-Adjusted Life Years, Europe epidemiology, Adult, Heart Disease Risk Factors, Cost-Benefit Analysis, Cardiovascular Diseases economics, Cardiovascular Diseases blood, Cardiovascular Diseases diagnosis, Troponin I blood
- Abstract
Introduction: Risk stratification scores such as the European Systematic COronary Risk Evaluation (SCORE) are used to guide individuals on cardiovascular disease (CVD) prevention. Adding high-sensitivity troponin I (hsTnI) to such risk scores has the potential to improve accuracy of CVD prediction. We investigated how applying hsTnI in addition to SCORE may impact management, outcome, and cost-effectiveness., Methods: Characteristics of 72,190 apparently healthy individuals from the Biomarker for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project were included into a discrete-event simulation comparing two strategies for assessing CVD risk. The standard strategy reflecting current practice employed SCORE (SCORE); the alternative strategy involved adding hsTnI information for further stratifying SCORE risk categories (S-SCORE). Individuals were followed over ten years from baseline examination to CVD event, death or end of follow-up. The model tracked the occurrence of events and calculated direct costs of screening, prevention, and treatment from a European health system perspective. Cost-effectiveness was expressed as incremental cost-effectiveness ratio (ICER) in € per quality-adjusted life year (QALYs) gained during 10 years of follow-up. Outputs were validated against observed rates, and results were tested in deterministic and probabilistic sensitivity analyses., Results: S-SCORE yielded a change in management for 10.0% of individuals, and a reduction in CVD events (4.85% vs. 5.38%, p<0.001) and mortality (6.80% vs. 7.04%, p<0.001). S-SCORE led to 23 (95%CI: 20-26) additional event-free years and 7 (95%CI: 5-9) additional QALYs per 1,000 subjects screened, and resulted in a relative risk reduction for CVD of 9.9% (95%CI: 7.3-13.5%) with a number needed to screen to prevent one event of 183 (95%CI: 172 to 203). S-SCORE increased costs per subject by 187€ (95%CI: 177 € to 196 €), leading to an ICER of 27,440€/QALY gained. Sensitivity analysis was performed with eligibility for treatment being the most sensitive., Conclusion: Adding a person's hsTnI value to SCORE can impact clinical decision making and eventually improves QALYs and is cost-effective compared to CVD prevention strategies using SCORE alone. Stratifying SCORE risk classes for hsTnI would likely offer cost-effective alternatives, particularly when targeting higher risk groups., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: PJ and IG are fulltime employees of Abbott Diagnostics, one of the providers of diagnostic tests and the assay used in this study. This does not alter our adherence to PLOS ONE policies on sharing data and materials. NM reports conference fees from Abbott Laboratories. SB has received research funding from Abbott, Abbott Diagnostics, Bayer, Boehringer Ingelheim, Siemens, and ThermoFisher; honoraria for lectures from Abbott, Abbott Diagnostics, AstraZeneca, Bayer, Boehringer Ingelheim, Medtronic, Pfizer, Roche, Siemens Diagnostics, Siemens, and ThermoFisher; and honoraria for advisory board memberships and consulting for Boehringer Ingelheim, Bayer, Novartis, Roche, and ThermoFisher. TZ and SB are listed as co-inventor of an international patent on the use of a computing device to estimate the probability of myocardial infarction (International Publication Number WO2022043229A1). TZ is shareholder of the ART.EMIS GmbH Hamburg. VS has had research collaboration with Bayer Ltd (outside the present study). SS reports consultancy and speakers honoraria from Actelion Ltd (unrelated to the present study). All other authors have declared that no competing interests exist., (Copyright: © 2024 Jülicher et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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6. Association of glycated hemoglobin A 1c levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium.
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Sinning C, Makarova N, Völzke H, Schnabel RB, Ojeda F, Dörr M, Felix SB, Koenig W, Peters A, Rathmann W, Schöttker B, Brenner H, Veronesi G, Cesana G, Brambilla P, Palosaari T, Kuulasmaa K, Njølstad I, Mathiesen EB, Wilsgaard T, Blankenberg S, Söderberg S, Ferrario MM, and Thorand B
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- Aged, Biomarkers blood, Cardiovascular Diseases diagnosis, Cardiovascular Diseases mortality, Diabetes Mellitus diagnosis, Diabetes Mellitus epidemiology, Europe epidemiology, Female, Heart Disease Risk Factors, Humans, Incidence, Male, Middle Aged, Prognosis, Risk Assessment, Time Factors, Cardiovascular Diseases epidemiology, Diabetes Mellitus blood, Glycated Hemoglobin analysis
- Abstract
Background: Biomarkers may contribute to improved cardiovascular risk estimation. Glycated hemoglobin A
1c (HbA1c ) is used to monitor the quality of diabetes treatment. Its strength of association with cardiovascular outcomes in the general population remains uncertain. This study aims to assess the association of HbA1c with cardiovascular outcomes in the general population., Methods: Data from six prospective population-based cohort studies across Europe comprising 36,180 participants were analyzed. HbA1c was evaluated in conjunction with classical cardiovascular risk factors (CVRFs) for association with cardiovascular mortality, cardiovascular disease (CVD) incidence, and overall mortality in subjects without diabetes (N = 32,496) and with diabetes (N = 3684)., Results: Kaplan-Meier curves showed higher event rates with increasing HbA1c levels (log-rank-test: p < 0.001). Cox regression analysis revealed significant associations between HbA1c (in mmol/mol) in the total study population and the examined outcomes. Thus, a hazard ratio (HR) of 1.16 (95% confidence interval (CI) 1.02-1.31, p = 0.02) for cardiovascular mortality, 1.13 (95% CI 1.03-1.24, p = 0.01) for CVD incidence, and 1.09 (95% CI 1.02-1.17, p = 0.01) for overall mortality was observed per 10 mmol/mol increase in HbA1c . The association with CVD incidence and overall mortality was also observed in study participants without diabetes with increased HbA1c levels (HR 1.12; 95% CI 1.01-1.25, p = 0.04) and HR 1.10; 95% CI 1.01-1.20, p = 0.02) respectively. HbA1c cut-off values of 39.9 mmol/mol (5.8%), 36.6 mmol/mol (5.5%), and 38.8 mmol/mol (5.7%) for cardiovascular mortality, CVD incidence, and overall mortality, showed also an increased risk., Conclusions: HbA1c is independently associated with cardiovascular mortality, overall mortality and cardiovascular disease in the general European population. A mostly monotonically increasing relationship was observed between HbA1c levels and outcomes. Elevated HbA1c levels were associated with cardiovascular disease incidence and overall mortality in participants without diabetes underlining the importance of HbA1c levels in the overall population., (© 2021. The Author(s).)- Published
- 2021
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7. The natural history of idiopathic pulmonary fibrosis in a large European population: the role of age, sex and comorbidities.
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Caminati A, Madotto F, Conti S, Cesana G, Mantovani L, and Harari S
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- Age Factors, Aged, Aged, 80 and over, Databases, Factual, Europe, Female, Hospitalization, Humans, Male, Middle Aged, Retrospective Studies, Sex Factors, Survival, Comorbidity, Idiopathic Pulmonary Fibrosis physiopathology
- Abstract
Placebo arms of clinical trials provide an opportunity to investigate the natural history of idiopathic pulmonary fibrosis (IPF) but these patients are not representative of the real life IPF population. Objective of this article is to evaluate patients' characteristics of incident IPF cases and their impact on mortality and hospitalizations risk. We conducted a retrospective cohort study using data from administrative databases from 2000 to 2010. Based on different algorithms reported in literature, incident IPF cases were identified. We applied Cox proportional hazards models to assess relationship between patients' characteristics, mortality and hospitalization. According to three case definitions, we identified 2338, 460 and 1704 incident IPF cases. Mean age at diagnosis was about 72 years, the proportion of male varied between 59 and 62% and patients with at least one chronic disease were between 70 and 74%. Age, male sex and comorbidities were associated to worse outcomes. Congestive heart failure (CHF), diabetes and cancer were conditions associated to mortality, while those associated to hospitalization were CHF and chronic obstructive pulmonary disease. Our data source provided one of the largest samples of unselected patients with a long follow-up period. Using different algorithms proposed and validated in literature, we observed that mortality and hospitalization rate are high in patients with IPF and age, sex and comorbidities significantly affect clinical outcomes. Females show a significant survival advantage over males, even after adjusting for age and comorbidities. Patients with pre-existing diseases, especially those with pulmonary and cardiovascular diseases are at higher risk., (© 2021. Società Italiana di Medicina Interna (SIMI).)
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- 2021
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8. Genetic studies of body mass index yield new insights for obesity biology.
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Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T, Fall T, Ferreira T, Gustafsson S, Kutalik Z, Luan J, Mägi R, Randall JC, Winkler TW, Wood AR, Workalemahu T, Faul JD, Smith JA, Zhao JH, Zhao W, Chen J, Fehrmann R, Hedman ÅK, Karjalainen J, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bolton JL, Bragg-Gresham JL, Buyske S, Demirkan A, Deng G, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Goel A, Gong J, Jackson AU, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Leach IM, Medina-Gomez C, Medland SE, Nalls MA, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Shungin D, Stančáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet-Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Isaacs A, Albrecht E, Ärnlöv J, Arscott GM, Attwood AP, Bandinelli S, Barrett A, Bas IN, Bellis C, Bennett AJ, Berne C, Blagieva R, Blüher M, Böhringer S, Bonnycastle LL, Böttcher Y, Boyd HA, Bruinenberg M, Caspersen IH, Chen YI, Clarke R, Daw EW, de Craen AJM, Delgado G, Dimitriou M, Doney ASF, Eklund N, Estrada K, Eury E, Folkersen L, Fraser RM, Garcia ME, Geller F, Giedraitis V, Gigante B, Go AS, Golay A, Goodall AH, Gordon SD, Gorski M, Grabe HJ, Grallert H, Grammer TB, Gräßler J, Grönberg H, Groves CJ, Gusto G, Haessler J, Hall P, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hengstenberg C, Holmen O, Hottenga JJ, James AL, Jeff JM, Johansson Å, Jolley J, Juliusdottir T, Kinnunen L, Koenig W, Koskenvuo M, Kratzer W, Laitinen J, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindström J, Lo KS, Lobbens S, Lorbeer R, Lu Y, Mach F, Magnusson PKE, Mahajan A, McArdle WL, McLachlan S, Menni C, Merger S, Mihailov E, Milani L, Moayyeri A, Monda KL, Morken MA, Mulas A, Müller G, Müller-Nurasyid M, Musk AW, Nagaraja R, Nöthen MM, Nolte IM, Pilz S, Rayner NW, Renstrom F, Rettig R, Ried JS, Ripke S, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Scott WR, Seufferlein T, Shi J, Smith AV, Smolonska J, Stanton AV, Steinthorsdottir V, Stirrups K, Stringham HM, Sundström J, Swertz MA, Swift AJ, Syvänen AC, Tan ST, Tayo BO, Thorand B, Thorleifsson G, Tyrer JP, Uh HW, Vandenput L, Verhulst FC, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Warren HR, Waterworth D, Weedon MN, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Brennan EP, Choi M, Dastani Z, Drong AW, Eriksson P, Franco-Cereceda A, Gådin JR, Gharavi AG, Goddard ME, Handsaker RE, Huang J, Karpe F, Kathiresan S, Keildson S, Kiryluk K, Kubo M, Lee JY, Liang L, Lifton RP, Ma B, McCarroll SA, McKnight AJ, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Okada Y, Perry JRB, Dorajoo R, Reinmaa E, Salem RM, Sandholm N, Scott RA, Stolk L, Takahashi A, Tanaka T, van 't Hooft FM, Vinkhuyzen AAE, Westra HJ, Zheng W, Zondervan KT, Heath AC, Arveiler D, Bakker SJL, Beilby J, Bergman RN, Blangero J, Bovet P, Campbell H, Caulfield MJ, Cesana G, Chakravarti A, Chasman DI, Chines PS, Collins FS, Crawford DC, Cupples LA, Cusi D, Danesh J, de Faire U, den Ruijter HM, Dominiczak AF, Erbel R, Erdmann J, Eriksson JG, Farrall M, Felix SB, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gejman PV, Gieger C, Gottesman O, Gudnason V, Gyllensten U, Hall AS, Harris TB, Hattersley AT, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Homuth G, Hovingh GK, Humphries SE, Hunt SC, Hyppönen E, Illig T, Jacobs KB, Jarvelin MR, Jöckel KH, Johansen B, Jousilahti P, Jukema JW, Jula AM, Kaprio J, Kastelein JJP, Keinanen-Kiukaanniemi SM, Kiemeney LA, Knekt P, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Marchand LL, Lehtimäki T, Lyssenko V, Männistö S, Marette A, Matise TC, McKenzie CA, McKnight B, Moll FL, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Madden PAF, Pasterkamp G, Peden JF, Peters A, Postma DS, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Rioux JD, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schunkert H, Schwarz PEH, Sever P, Shuldiner AR, Sinisalo J, Stolk RP, Strauch K, Tönjes A, Trégouët DA, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Völker U, Waeber G, Willemsen G, Witteman JC, Zillikens MC, Adair LS, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bornstein SR, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PIW, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hui J, Hunter DJ, Hveem K, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Metspalu A, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CNA, Pedersen NL, Perola M, Pérusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sattar N, Schadt EE, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Thorsteinsdottir U, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Weir DR, Wichmann HE, Wilson JF, Zanen P, Borecki IB, Deloukas P, Fox CS, Heid IM, O'Connell JR, Strachan DP, Stefansson K, van Duijn CM, Abecasis GR, Franke L, Frayling TM, McCarthy MI, Visscher PM, Scherag A, Willer CJ, Boehnke M, Mohlke KL, Lindgren CM, Beckmann JS, Barroso I, North KE, Ingelsson E, Hirschhorn JN, Loos RJF, and Speliotes EK
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- Adipogenesis genetics, Adiposity genetics, Age Factors, Energy Metabolism genetics, Europe ethnology, Female, Genetic Predisposition to Disease genetics, Glutamic Acid metabolism, Humans, Insulin metabolism, Insulin Secretion, Male, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Racial Groups genetics, Synapses metabolism, Body Mass Index, Genome-Wide Association Study, Obesity genetics, Obesity metabolism
- Abstract
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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- 2015
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9. The contribution of educational class in improving accuracy of cardiovascular risk prediction across European regions: The MORGAM Project Cohort Component.
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Ferrario MM, Veronesi G, Chambless LE, Tunstall-Pedoe H, Kuulasmaa K, Salomaa V, Borglykke A, Hart N, Söderberg S, and Cesana G
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- Adult, Cardiovascular Diseases prevention & control, Educational Status, Europe epidemiology, Female, Follow-Up Studies, Humans, Male, Middle Aged, Morbidity trends, Predictive Value of Tests, Prospective Studies, Risk Factors, Socioeconomic Factors, Survival Rate trends, Cardiovascular Diseases epidemiology, Patient Education as Topic standards, Risk Assessment standards
- Abstract
Objective: To assess whether educational class, an index of socioeconomic position, improves the accuracy of the SCORE cardiovascular disease (CVD) risk prediction equation., Methods: In a pooled analysis of 68 455 40-64-year-old men and women, free from coronary heart disease at baseline, from 47 prospective population-based cohorts from Nordic countries (Finland, Denmark, Sweden), the UK (Northern Ireland, Scotland), Central Europe (France, Germany, Italy) and Eastern Europe (Lithuania, Poland) and Russia, we assessed improvements in discrimination and in risk classification (net reclassification improvement (NRI)) when education was added to models including the SCORE risk equation., Results: The lowest educational class was associated with higher CVD mortality in men (pooled age-adjusted HR=1.64, 95% CI 1.42 to 1.90) and women (HR=1.31, 1.02 to 1.68). In men, the HRs ranged from 1.3 (Central Europe) to 2.1 (Eastern Europe and Russia). After adjustment for the SCORE risk, the association remained statistically significant overall, in the UK and Eastern Europe and Russia. Education significantly improved discrimination in all European regions and classification in Nordic countries (clinical NRI=5.3%) and in Eastern Europe and Russia (NRI=24.7%). In women, after SCORE risk adjustment, the association was not statistically significant, but the reduced number of deaths plays a major role, and the addition of education led to improvements in discrimination and classification in the Nordic countries only., Conclusions: We recommend the inclusion of education in SCORE CVD risk equation in men, particularly in Nordic and East European countries, to improve social equity in primary prevention. Weaker evidence for women warrants the need for further investigations., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)
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- 2014
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10. Impact of age on the importance of systolic and diastolic blood pressures for stroke risk: the MOnica, Risk, Genetics, Archiving, and Monograph (MORGAM) Project.
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Vishram JK, Borglykke A, Andreasen AH, Jeppesen J, Ibsen H, Jørgensen T, Broda G, Palmieri L, Giampaoli S, Donfrancesco C, Kee F, Mancia G, Cesana G, Kuulasmaa K, Sans S, and Olsen MH
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- Adult, Age Factors, Aged, Cohort Studies, Europe epidemiology, Female, Humans, Incidence, Male, Middle Aged, Multivariate Analysis, Proportional Hazards Models, Risk Assessment statistics & numerical data, Risk Factors, Stroke epidemiology, Young Adult, Blood Pressure physiology, Stroke physiopathology
- Abstract
This study investigates age-related shifts in the relative importance of systolic (SBP) and diastolic (DBP) blood pressures as predictors of stroke and whether these relations are influenced by other cardiovascular risk factors. Using 34 European cohorts from the MOnica, Risk, Genetics, Archiving, and Monograph (MORGAM) Project with baseline between 1982 and 1997, 68 551 subjects aged 19 to 78 years, without cardiovascular disease and not receiving antihypertensive treatment, were included. During a mean of 13.2 years of follow-up, stroke incidence was 2.8%. Stroke risk was analyzed using hazard ratios per 10-mm Hg/5-mm Hg increase in SBP/DBP by multivariate-adjusted Cox regressions, including SBP and DBP simultaneously. Because of nonlinearity, DBP was analyzed separately for DBP ≥ 71 mm Hg and DBP <71 mm Hg. Stroke risk was associated positively with SBP and DBP ≥ 71 mm Hg (SBP/DBP ≥ 71 mm Hg; hazard ratios: 1.15/1.06 [95% CI: 1.12-1.18/1.03-1.09]) and negatively with DBP <71 mm Hg (0.88[0.79-0.98]). The hazard ratio for DBP decreased with age (P<0.001) and was not influenced by other cardiovascular risk factors. Taking into account the age × DBP interaction, both SBP and DBP ≥ 71 mm Hg were significantly associated with stroke risk until age 62 years, but in subjects older than 46 years the superiority of SBP for stroke risk exceeded that of DBP ≥ 71 mm Hg and remained significant until age 78 years. DBP <71 mm Hg became significant at age 50 years with an inverse relation to stroke risk. In Europeans, stroke risk should be assessed by both SBP and DBP until age 62 years with increased focus on SBP from age 47 years. From age 62 years, emphasis should be on SBP without neglecting the potential harm of very low DBP.
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- 2012
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11. Relative risks for stroke by age, sex, and population based on follow-up of 18 European populations in the MORGAM Project.
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Asplund K, Karvanen J, Giampaoli S, Jousilahti P, Niemelä M, Broda G, Cesana G, Dallongeville J, Ducimetriere P, Evans A, Ferrières J, Haas B, Jorgensen T, Tamosiunas A, Vanuzzo D, Wiklund PG, Yarnell J, Kuulasmaa K, and Kulathinal S
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- Adult, Age Factors, Aged, Europe epidemiology, Female, Follow-Up Studies, Humans, Male, Middle Aged, Population, Sex Factors, World Health Organization, Hypercholesterolemia complications, Hypertension complications, Obesity complications, Smoking adverse effects, Stroke epidemiology
- Abstract
Background and Purpose: Within the framework of the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) Project, the variations in impact of classical risk factors of stroke by population, sex, and age were analyzed., Methods: Follow-up data were collected in 43 cohorts in 18 populations in 8 European countries surveyed for cardiovascular risk factors. In 93 695 persons aged 19 to 77 years and free of major cardiovascular disease at baseline, total observation years were 1 234 252 and the number of stroke events analyzed was 3142. Hazard ratios were calculated by Cox regression analyses., Results: Each year of age increased the risk of stroke (fatal and nonfatal together) by 9% (95% CI, 9% to 10%) in men and by 10% (9% to 10%) in women. A 10-mm Hg increase in systolic blood pressure involved a similar increase in risk in men (28%; 24% to 32%) and women (25%; 20% to 29%). Smoking conferred a similar excess risk in women (104%; 78% to 133%) and in men (82%; 66% to 100%). The effect of increasing body mass index was very modest. Higher high-density lipoprotein cholesterol levels decreased the risk of stroke more in women (hazard ratio per mmol/L 0.58; 0.49 to 0.68) than in men (0.80; 0.69 to 0.92). The impact of the individual risk factors differed somewhat between countries/regions with high blood pressure being particularly important in central Europe (Poland and Lithuania)., Conclusions: Age, sex, and region-specific estimates of relative risks for stroke conferred by classical risk factors in various regions of Europe are provided. From a public health perspective, an important lesson is that smoking confers a high risk for stroke across Europe.
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- 2009
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12. Job stress and major coronary events: results from the Job Stress, Absenteeism and Coronary Heart Disease in Europe study.
- Author
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Kornitzer M, deSmet P, Sans S, Dramaix M, Boulenguez C, DeBacker G, Ferrario M, Houtman I, Isacsson SO, Ostergren PO, Peres I, Pelfrene E, Romon M, Rosengren A, Cesana G, and Wilhelmsen L
- Subjects
- Adult, Europe epidemiology, Humans, Incidence, Male, Middle Aged, Stress, Psychological psychology, Absenteeism, Coronary Disease epidemiology, Coronary Disease etiology, Employment psychology, Stress, Psychological complications, Stress, Psychological physiopathology
- Abstract
Aims: The intention of this study is to investigate the relationship of the demands/control/strain model with hard coronary events in an epidemiological, prospective, multicenter, European study., Methods and Results: Six cohorts (Brussels, Ghent, Lille, Barcelona, Göteborg and Malmö) from four European countries (Belgium, France, Spain and Sweden) consisting of 21 111 middle-aged male subjects participated between 1993 and 1996 in the baseline survey of the Job Stress, Absenteeism and Coronary Heart Disease in Europe (JACE) study. The Karasek strain model of psychological demands (five items)/control (nine items) was used. During a mean follow-up of 40 months 185 acute coronary events or coronary deaths were observed. Age-adjusted hazard ratios (HRs) for developing an acute coronary event were 1.46 [CI 95% confidence interval (1.08-1.97)] for high against low psychological demands and 1.53 (95% CI 1.0-2.35) for strained (high demands plus low control) against relaxed (low demands plus high control) groups. After adjustment for standard cardiovascular risk factors the HR for developing a coronary event for those above or equal to the median against those below the median of psychological demands was 1.46 (95% CI 1.08-1.97) whereas the HR for strained against relaxed groups is 1.46 (95% CI 0.96-2.25). Sensitivity analyses confirmed the robustness of the results., Conclusion: In this European, multicenter, prospective, epidemiological study the Karasek job strain model was an independent predictor of acute coronary events, with the psychological demands scale emerging as the important component.
- Published
- 2006
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