282 results on '"Ikram, M.K."'
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2. Omega-3 Blood Levels and Stroke Risk : A Pooled and Harmonized Analysis of 183 291 Participants from 29 Prospective Studies
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O'Keefe, James H., Tintle, Nathan L., Harris, William S., O'Keefe, Evan L., Sala-Vila, Aleix, Attia, John, Garg, G.M., Hure, Alexis, Bork, Christian Sorensen, Schmidt, Erik Berg, Venø, Stine Krogh, Chien, Kuo Liong, Chen, Yun Yu, Egert, Sarah, Feldreich, Tobias Rudholm, Arnlov, Johan, Lind, Lars, Forouhi, Nita G., Geleijnse, Johanna M., Pertiwi, Kamalita, Imamura, Fumiaki, De Mello Laaksonen, Vanessa, Uusitupa, W.M., Tuomilehto, Jaakko, Laakso, Markku, Lankinen, Maria Anneli, Laurin, Danielle, Carmichael, Pierre Hugues, Lindsay, Joan, Leander, Karin, Laguzzi, Federica, Swenson, Brenton R., Longstreth, William T., Manson, Joann E., Mora, Samia, Cook, Nancy R., Marklund, Matti, Melo Van Lent, Debora, Murphy, Rachel, Gudnason, Vilmundur, Ninomiya, Toshihara, Hirakawa, Yoichiro, Qian, Frank, Sun, Qi, Hu, Frank, Ardisson Korat, Andres V., Risérus, Ulf, Lázaro, Iolanda, Samieri, Cecilia, Le Goff, Mélanie, Helmer, Catherine, Steur, Marinka, Voortman, Trudy, Ikram, M.K., Tanaka, Toshiko, Das, Jayanta K., Ferrucci, Luigi, Bandinelli, Stefania, Tsai, Michael, Guan, Weihua, Garg, Parveen, Verschuren, W.M.M., Boer, Jolanda M.A., Biokstra, Anneke, Virtanen, Jyrki, Wagner, Michael, Westra, Jason, Albuisson, Luc, Yamagishi, Kazumasa, Siscovick, David S., Lemaitre, Rozenn N., Mozaffarian, Dariush, O'Keefe, James H., Tintle, Nathan L., Harris, William S., O'Keefe, Evan L., Sala-Vila, Aleix, Attia, John, Garg, G.M., Hure, Alexis, Bork, Christian Sorensen, Schmidt, Erik Berg, Venø, Stine Krogh, Chien, Kuo Liong, Chen, Yun Yu, Egert, Sarah, Feldreich, Tobias Rudholm, Arnlov, Johan, Lind, Lars, Forouhi, Nita G., Geleijnse, Johanna M., Pertiwi, Kamalita, Imamura, Fumiaki, De Mello Laaksonen, Vanessa, Uusitupa, W.M., Tuomilehto, Jaakko, Laakso, Markku, Lankinen, Maria Anneli, Laurin, Danielle, Carmichael, Pierre Hugues, Lindsay, Joan, Leander, Karin, Laguzzi, Federica, Swenson, Brenton R., Longstreth, William T., Manson, Joann E., Mora, Samia, Cook, Nancy R., Marklund, Matti, Melo Van Lent, Debora, Murphy, Rachel, Gudnason, Vilmundur, Ninomiya, Toshihara, Hirakawa, Yoichiro, Qian, Frank, Sun, Qi, Hu, Frank, Ardisson Korat, Andres V., Risérus, Ulf, Lázaro, Iolanda, Samieri, Cecilia, Le Goff, Mélanie, Helmer, Catherine, Steur, Marinka, Voortman, Trudy, Ikram, M.K., Tanaka, Toshiko, Das, Jayanta K., Ferrucci, Luigi, Bandinelli, Stefania, Tsai, Michael, Guan, Weihua, Garg, Parveen, Verschuren, W.M.M., Boer, Jolanda M.A., Biokstra, Anneke, Virtanen, Jyrki, Wagner, Michael, Westra, Jason, Albuisson, Luc, Yamagishi, Kazumasa, Siscovick, David S., Lemaitre, Rozenn N., and Mozaffarian, Dariush
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BACKGROUND: The effect of marine omega-3 PUFAs on risk of stroke remains unclear. METHODS: We investigated the associations between circulating and tissue omega-3 PUFA levels and incident stroke (total, ischemic, and hemorrhagic) in 29 international prospective cohorts. Each site conducted a de novo individual-level analysis using a prespecified analytical protocol with defined exposures, covariates, analytical methods, and outcomes; the harmonized data from the studies were then centrally pooled. Multivariable-adjusted HRs and 95% CIs across omega-3 PUFA quintiles were computed for each stroke outcome. RESULTS: Among 183 291 study participants, there were 10 561 total strokes, 8220 ischemic strokes, and 1142 hemorrhagic strokes recorded over a median of 14.3 years follow-up. For eicosapentaenoic acid, comparing quintile 5 (Q5, highest) with quintile 1 (Q1, lowest), total stroke incidence was 17% lower (HR, 0.83 [CI, 0.76-0.91]; P<0.0001), and ischemic stroke was 18% lower (HR, 0.82 [CI, 0.74-0.91]; P<0.0001). For docosahexaenoic acid, comparing Q5 with Q1, there was a 12% lower incidence of total stroke (HR, 0.88 [CI, 0.81-0.96]; P=0.0001) and a 14% lower incidence of ischemic stroke (HR, 0.86 [CI, 0.78-0.95]; P=0.0001). Neither eicosapentaenoic acid nor docosahexaenoic acid was associated with a risk for hemorrhagic stroke. These associations were not modified by either baseline history of AF or prevalent CVD. CONCLUSIONS: Higher omega-3 PUFA levels are associated with lower risks of total and ischemic stroke but have no association with hemorrhagic stroke.
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- 2024
3. Progress toward standardized diagnosis of vascular cognitive impairment: Guidelines from the Vascular Impairment of Cognition Classification Consensus Study
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Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, P., Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.
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- 2018
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4. The Vascular Impairment of Cognition Classification Consensus Study
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Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., DI Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, P., Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Skrobot, Olivia A., O'Brien, John, Black, Sandra, Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, and Kehoe, Patrick G.
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- 2017
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5. The optimal healthy ranges of thyroid function defined by the risk of cardiovascular disease and mortality: systematic review and individual participant data meta-analysis
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Xu, Y.F., Derakhshan, A., Hysaj, O., Wildisen, L., Ittermann, T., Pingitore, A., Abolhassani, N., Medici, M., Kiemeney, L.A., Riksen, N.P., Dullaart, R.P.F., Trompet, S., Dörr, M., Brown, S.J., Schmidt, Börge, Führer-Sakel, D., Vanderpump, M.P.J., Muendlein, A., Drexel, H., Fink, H.A., Ikram, M.K., Kavousi, M., Rhee, C.M., Bensenor, I.M., Azizi, F., Hankey, G.J., Iacoviello, M., Imaizumi, M., Ceresini, G., Ferrucci, L., Sgarbi, J.A., Bauer, D.C., Wareham, N., Boelaert, K., Bakker, S.J.L., Jukema, J.W., Vaes, B., Iervasi, G., Yeap, B.B., Westendorp, R.G.J., Korevaar, T.I.M., Völzke, H., Razvi, S., Gussekloo, J., Walsh, J.P., Cappola, A.R., Rodondi, N., Peeters, R.P., Chaker, L., Xu, Y.F., Derakhshan, A., Hysaj, O., Wildisen, L., Ittermann, T., Pingitore, A., Abolhassani, N., Medici, M., Kiemeney, L.A., Riksen, N.P., Dullaart, R.P.F., Trompet, S., Dörr, M., Brown, S.J., Schmidt, Börge, Führer-Sakel, D., Vanderpump, M.P.J., Muendlein, A., Drexel, H., Fink, H.A., Ikram, M.K., Kavousi, M., Rhee, C.M., Bensenor, I.M., Azizi, F., Hankey, G.J., Iacoviello, M., Imaizumi, M., Ceresini, G., Ferrucci, L., Sgarbi, J.A., Bauer, D.C., Wareham, N., Boelaert, K., Bakker, S.J.L., Jukema, J.W., Vaes, B., Iervasi, G., Yeap, B.B., Westendorp, R.G.J., Korevaar, T.I.M., Völzke, H., Razvi, S., Gussekloo, J., Walsh, J.P., Cappola, A.R., Rodondi, N., Peeters, R.P., and Chaker, L.
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Contains fulltext : 297328.pdf (Publisher’s version ) (Closed access), BACKGROUND: Reference intervals of thyroid-stimulating hormone (TSH) and free thyroxine (FT(4)) are statistically defined by the 2·5-97·5th percentiles, without accounting for potential risk of clinical outcomes. We aimed to define the optimal healthy ranges of TSH and FT(4) based on the risk of cardiovascular disease and mortality. METHODS: This systematic review and individual participant data (IPD) meta-analysis identified eligible prospective cohorts through the Thyroid Studies Collaboration, supplemented with a systematic search via Embase, MEDLINE (Ovid), Web of science, the Cochrane Central Register of Controlled Trials, and Google Scholar from Jan 1, 2011, to Feb 12, 2017 with an updated search to Oct 13, 2022 (cohorts found in the second search were not included in the IPD). We included cohorts that collected TSH or FT(4), and cardiovascular outcomes or mortality for adults (aged ≥18 years). We excluded cohorts that included solely pregnant women, individuals with overt thyroid diseases, and individuals with cardiovascular disease. We contacted the study investigators of eligible cohorts to provide IPD on demographics, TSH, FT(4), thyroid peroxidase antibodies, history of cardiovascular disease and risk factors, medication use, cardiovascular disease events, cardiovascular disease mortality, and all-cause mortality. The primary outcome was a composite outcome including cardiovascular disease events (coronary heart disease, stroke, and heart failure) and all-cause mortality. Secondary outcomes were the separate assessment of cardiovascular disease events, all-cause mortality, and cardiovascular disease mortality. We performed one-step (cohort-stratified Cox models) and two-step (random-effects models) meta-analyses adjusting for age, sex, smoking, systolic blood pressure, diabetes, and total cholesterol. The study was registered with PROSPERO, CRD42017057576. FINDINGS: We identified 3935 studies, of which 53 cohorts fulfilled the inclusion criteria and 26 co
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- 2023
6. Air pollution and the risk of dementia: The rotterdam study
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de Crom, Tosca, Oudin, Anna, Ginos, Bigina, Ikram, M.K., Voortman, Trudy, Ikram, M.A., de Crom, Tosca, Oudin, Anna, Ginos, Bigina, Ikram, M.K., Voortman, Trudy, and Ikram, M.A.
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BackgroundAir pollution has been suggested to increase the risk of dementia, by triggering neuro-inflammation, oxidative stress, and cerebrovascular damage. However, studies on the association between exposure to air pollution and the risk of dementia yielded inconsistent results. We therefore determined exposure to air pollution in association with the risk of dementia and cognitive decline in the population-based Rotterdam Study.MethodBetween 2009 and 2010, we determined air pollutant levels at participants residential addresses using land use regression models. Determined air pollutant levels included particulate matter with an aerodynamic diameter of less than 10 µm (PM10) and 2.5 µm (PM2.5), a proxy of elemental carbon (PM2.5 absorbance), nitrogen oxide (NOx), and nitrogen dioxide (NO2). As the individual air pollutant levels were highly correlated with each other (r = 0.71-0.98), we obtained the first unrotated component of a principal component analyses (PCA) for all air pollutants. We followed participants up for dementia until 2018 and determined cognitive performance during two subsequent examination rounds. Using Cox proportional hazard models and linear mixed models, we determined the association of exposure to air pollution with the risk of dementia and cognitive decline.ResultOf the 7511 non-demented participants at baseline (median age 68 years, 58.6% women), 545 developed dementia during a median follow-up of 7 years. Mean ± standard deviation (SD) levels per µg/m3 were 26.1 ± 1.0 for PM10, 16.8 ± 0.4 for PM2.5, 1.5 ± 0.1 for PM2.5 absorbance, 46.1 ± 12.2 for NOx, and 32.6 ± 3.4 for NO2. The individual air pollutant levels were not significantly associated with the risk of dementia, neither was the first unrotated component of a PCA for all air pollutants (hazard ratio [95% confidence interval] per SD increase: 1.04 [0.95-1.15], Figure 1). Air pollutant levels were also not associated with decline in cognitive function.ConclusionExposure to air pollu
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- 2023
7. Air Pollution and the Risk of Dementia: The Rotterdam Study
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de Crom, Tosca O.E., Ginos, Bigina N.R., Oudin, Anna, Ikram, M.K., Voortman, Trudy, Ikram, M.A., de Crom, Tosca O.E., Ginos, Bigina N.R., Oudin, Anna, Ikram, M.K., Voortman, Trudy, and Ikram, M.A.
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Background: Exposure to air pollution has been suggested to increase the risk of dementia, but studies on this link often lack a detailed screening for dementia and data on important confounders. Objective: To determine the association of exposure to air pollution with the risk of dementia and cognitive decline in the population-based Rotterdam Study. Methods: Between 2009 and 2010, we determined air pollutant concentrations at participants residential addresses using land use regression models. Determined air pollutants include particulate matter Results: Of the 7,511 non-demented participants at baseline, 545 developed dementia during a median follow-up of 7 years. The general marker of all air pollutants was not associated with the risk of dementia (hazard ratio [95% confidence interval]: 1.04 [0.95–1.15]), neither were the individual air pollutants. Also, the general marker of all air pollutants or the individual air pollutant levels were not associated with cognitive decline. Conclusion: In this study, we found no clear evidence for an association between exposure to air pollution and the risk of dementia or cognitive decline.
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- 2023
8. Adiposity in the older population and the risk of dementia : The Rotterdam Study
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Mooldijk, Sanne S., de Crom, Tosca O.E., Ikram, M.K., Ikram, M.A., Voortman, Trudy, Mooldijk, Sanne S., de Crom, Tosca O.E., Ikram, M.K., Ikram, M.A., and Voortman, Trudy
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Introduction: We determined associations of total and regional adiposity with incident dementia among older adults. Methods: Within the population-based Rotterdam Study, adiposity was measured as total, android, and gynoid fat mass using dual-energy X-ray absorptiometry in 3408 men and 4563 women, every 3 to 6 years between 2002 and 2016. Incident dementia was recorded until 2020. Results: Higher adiposity measures were associated with a decreased risk of dementia in both sexes. After excluding the first 5 years of follow-up, only the association of gynoid fat among women remained significant (hazard ratio 0.85 [95% confidence interval 0.75–0.97] per standard deviation increase). No major differences in trajectories of adiposity measures were observed between dementia cases and dementia-free controls. Discussion: Higher total and regional fat mass related to a decreased risk of dementia. These results may be explained by reverse causality, although a protective effect of adiposity cannot be excluded. Highlights: Total and regional adiposity were assessed using dual-energy X-ray absorptiometry scans in 7971 older adults. All adiposity measures were associated with a decreased risk of dementia. The results suggest a beneficial effect of gynoid fat on the risk of dementia in women. Reverse causation and competing risk may explain these inverse associations.
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- 2023
9. Sex-stratified associations between fatty liver disease and Parkinson's disease: The Rotterdam study
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van Kleef, Laurens A., primary, Xiao, Tian, additional, Ikram, M. Arfan, additional, Ikram, M.K., additional, and de Knegt, Robert J., additional
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- 2023
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10. Influence of breastfeeding on retinal vessel calibers in schoolage children. The Generation R Study
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Gishti, O., Jaddoe, V.W.V., Duijts, L., Franco, O.H., Hofman, A., Ikram, M.K., and Gaillard, R.
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Breast feeding -- Physiological aspects -- Health aspects ,Cardiovascular diseases -- Physiological aspects -- Risk factors ,Retina -- Blood-vessels ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: A shorter breastfeeding duration is associated with an increased risk of cardiovascular disease in adulthood. Early microvasculature structure adaptations may be part of the underlying mechanism. We examined the associations of ever breastfeeding, breastfeeding duration and exclusivity, and the timing of introduction of solid foods with retinal vessel calibers in children. SUBJECTS/METHODS: We performed a population-based prospective cohort study from fetal life onwards in the city of Rotterdam, the Netherlands. We obtained information on ever breastfeeding, breastfeeding duration and exclusivity, and age at introduction of solid foods from postal questionnaires at the ages of 2,6 and 12 months after birth. At the median age of 6.0 years (90% range: 5.7-6.8), we measured retinal arteriolar and venular calibers from digitized retinal photographs among 3220 children. Grader-specific s.d. scores (SDS) for both central retinal and arteriolar equivalents were constructed. RESULTS: We observed that in the models only adjusted for child's age, sex and ethnicity, children who were never breastfed had narrower retinal arteriolar and venular calibers in childhood as compared with children who were breastfed (differences in retinal arteriolar and venular calibers, respectively: -0.16 SDS (95% confidence interval (CI): -0.29, -0.03) and -0.18 SDS (95% CI: -0.32, -0.04)). After additional adjustment for maternal and childhood socio-demographic and lifestyle-related characteristics, never breastfeeding was only associated with narrower retinal venular caliber (difference: -0.15 SDS (95% CI: -0.29, -0.02)). We did not observe associations of breastfeeding duration or exclusivity, or age at introduction of solid foods with retinal vessel calibers. CONCLUSIONS: Children who were never breastfed tended to have narrower retinal venular calibers. We did not observe associations of breastfeeding duration with retinal vessel calibers. Family-based socio-demographic factors, maternal lifestyle-related factors and childhood factors only slightly influenced the observed associations. These results should be considered a hypothesis generating for further observational and experimental studies. doi:10.1038/ejcn.2015.113; published online 15 July 2015, INTRODUCTION A shorter breastfeeding duration and non-exclusivity in infancy have been associated with higher risks of hypertension in adulthood. (1) Studies in children have also shown that shorter duration of [...]
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- 2016
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11. Thyroid Status and Brain Circulation: The Rotterdam Study.
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Fani, L., Roa Dueñas, O., Bos, D., Vernooij, M.W., Klaver, C.C.W., Ikram, M.K., Peeters, R.P., Ikram, M.Arfan, Chaker, L., Fani, L., Roa Dueñas, O., Bos, D., Vernooij, M.W., Klaver, C.C.W., Ikram, M.K., Peeters, R.P., Ikram, M.Arfan, and Chaker, L.
- Abstract
Item does not contain fulltext, CONTEXT: Whether thyroid dysfunction is related to altered brain circulation in the general population remains unknown. OBJECTIVE: We determined the association of thyroid hormones with different markers of brain circulation within community-dwelling elderly people. METHODS: This was a population-based study of 3 subcohorts of the Rotterdam Study, starting in 1989, 2000, and 2006. A total of 5142 participants (mean age, 63.8 years; 55.4% women), underwent venipuncture to measure serum thyroid-stimulating hormone (TSH) and free thyroxine (FT4). Between 2005 and 2015, all participants underwent phase-contrast brain magnetic resonance imaging to assess global brain perfusion (mL of blood flow/100 mL of brain/minute). Arteriolar retinal calibers were assessed using digitized images of stereoscopic fundus color transparencies in 3105 participants as markers of microcirculation. We investigated associations of TSH, FT4 with brain circulation measures using (non)linear regression models. RESULTS: FT4 (in pmol/L) levels had an inverse U-shaped association with global brain perfusion, such that high and low levels of FT4 were associated with lower global brain perfusion than middle levels of FT4. The difference in global brain perfusion between high FT4 levels (25 pmol/L) and middle FT4 levels (FT4 = 15 pmol/L; P nonlinearity = .002) was up to -2.44 mL (95% CI -4.31; -0.56). Higher and lower levels of FT4, compared with middle FT4 levels, were associated with arteriolar retinal vessels (mean difference up to -2.46 µm, 95% CI -4.98; 0.05 for lower FT4). CONCLUSION: These results suggest that thyroid dysfunction could lead to brain diseases such as stroke or dementia through suboptimal brain circulation that is potentially modifiable.
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- 2022
12. Sex steroids and markers of micro- and macrovascular damage among women and men from the general population
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Aribas, E., Ahmadizar, F., Mutlu, U., Ikram, M.K., Bos, D., Laven, J. S. E., Klaver, C.C.W., Ikram, M.Arfan, Roeters van Lennep, J.L., Kavousi, M., Aribas, E., Ahmadizar, F., Mutlu, U., Ikram, M.K., Bos, D., Laven, J. S. E., Klaver, C.C.W., Ikram, M.Arfan, Roeters van Lennep, J.L., and Kavousi, M.
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Contains fulltext : 282541.pdf (Publisher’s version ) (Open Access), AIMS: The contribution of sex hormones to micro- and macrovascular damage might differ among women and men. In particular, little is known about the association between sex hormones and small vessel disease. Therefore, we examined the association of total oestradiol, total testosterone, free-androgen index (FAI), dehydroepiandrosterone (DHEA), dehydroepiandrosterone sulfate (DHEAS), and androstenedione levels with micro- and macrovascular diseases. METHODS AND RESULTS: This cross-sectional study included 2950 women and 2495 men from the population-based Rotterdam Study. As proxy of microvascular damage, we measured diameters of retinal arterioles and venules. Markers of macrovascular damage included carotid intima-media thickness and carotid plaque, coronary artery calcification (CAC), and peripheral artery disease. Linear and logistic regression models were used and adjusted for age, cardiovascular risk factors, and years since menopause. Associations with microvasculature: In women, total testosterone [mean difference per 1-unit increase in natural-log transformed total testosterone (95% confidence interval, CI): 2.59 (0.08-5.09)] and androstenedione [4.88 (1.82-7.95)] and in men DHEAS [2.80 (0.23-5.37)] and androstenedione [5.83 (2.19-9.46)] were associated with larger venular caliber. Associations with markers of large vessel disease: In women, higher total testosterone [-0.29 (-0.56 to -0.03)], FAI [-0.33 (-0.56 to -0.10)], and androstenedione levels [-0.33 (-0.64 to -0.02)] were associated with lower CAC burden and FAI [odds ratio (95% CI): 0.82 (0.71-0.94)] was associated with lower prevalence of plaque. CONCLUSION: A more androgenic profile was associated with more microvascular damage in both women and men. Among women, however, higher androgen levels were also associated with less macrovascular damage. Our findings suggest that androgens might have distinct effects on the vasculature, depending on the vascular bed and stages of the atherosclerosis process.
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- 2022
13. Risk factors, neuroimaging correlates and prognosis of the motoric cognitive risk syndrome: A population-based comparison with mild cognitive impairment
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Yaqub, A., Darweesh, S.K.L., Dommershuijsen, L.J., Vernooij, M.W., Ikram, M.K., Wolters, F.J., Ikram, M.Arfan, Yaqub, A., Darweesh, S.K.L., Dommershuijsen, L.J., Vernooij, M.W., Ikram, M.K., Wolters, F.J., and Ikram, M.Arfan
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Contains fulltext : 282661.pdf (Publisher’s version ) (Open Access), BACKGROUND AND PURPOSE: This study was undertaken to compare risk factors, neuroimaging characteristics and prognosis between two clinical prodromes of dementia, namely, the motoric cognitive risk syndrome (MCRS) and mild cognitive impairment (MCI). METHODS: Between 2009 and 2015, dementia-free participants of the population-based Rotterdam Study were classified with a dementia prodrome if they had subjective cognitive complaints and scored >1 SD below the population mean of gait speed (MCRS) or >1.5 SD below the population mean of cognitive test scores (MCI). Using multinomial logistic regression models, we determined cross-sectional associations of risk factors and structural neuroimaging markers with MCRS and MCI, followed by subdistribution hazard models, to determine risk of incident dementia until 2016. RESULTS: Of 3025 included participants (mean age = 70.4 years, 54.7% women), 231 had MCRS (7.6%), 132 had MCI (4.4%), and 62 (2.0%) fulfilled criteria for both. Although many risk factors were shared, a higher body mass index predisposed to MCRS, whereas male sex and hypercholesterolemia were associated with MCI only. Gray matter volumes, hippocampal volumes, white matter hyperintensities, and structural white matter integrity were worse in both MCRS and MCI. During a mean follow-up of 3.9 years, 71 individuals developed dementia and 200 died. Five-year cumulative risk of dementia was 7.0% (2.5%-11.5%) for individuals with MCRS, versus 13.3% (5.8%-20.8%) with MCI and only 2.3% (1.5%-3.1%) in unaffected individuals. CONCLUSIONS: MCRS is associated with imaging markers of neurodegeneration and risk of dementia, even in the absence of MCI, highlighting the potential of motor function assessment in early risk stratification for dementia.
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- 2022
14. MIND diet and the risk of dementia a population-based study
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de Crom, Tosca O.E., Mooldijk, Sanne S., Ikram, M.K., Ikram, M.A., Voortman, Trudy, de Crom, Tosca O.E., Mooldijk, Sanne S., Ikram, M.K., Ikram, M.A., and Voortman, Trudy
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Background: Adherence to the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet has been linked to a decreased risk of dementia, but reverse causality and residual confounding by lifestyle may partly account for this link. We aimed to address these issues by studying the associations over cumulative time periods, which may provide insight into possible reverse causality, and by using both historical and more contemporary dietary data as this could give insight into confounding since historical data may be less affected by lifestyle factors. Methods: In the population-based Rotterdam Study, dietary intake was assessed using validated food frequency questionnaires in 5375 participants between 1989 and 1993 (baseline I) and in a largely non-overlapping sample in 2861 participants between 2009 and 2013 (baseline II). We calculated the MIND diet score and studied its association with the risk of all-cause dementia, using Cox models. Incident all-cause dementia was recorded until 2018. Results: During a mean follow-up of 15.6 years from baseline I, 1188 participants developed dementia. A higher MIND diet score at baseline I was associated with a lower risk of dementia over the first 7 years of follow-up (hazard ratio (HR) [95% confidence interval (CI)] per standard deviation (SD) increase, 0.85 [0.74, 0.98]), but associations disappeared over longer follow-up intervals. The mean follow-up from baseline II was 5.9 years during which 248 participants developed dementia. A higher MIND diet score at baseline II was associated with a lower risk of dementia over every follow-up interval, but associations slightly attenuated over time (HR [95% CI] for 7 years follow-up per SD increase, 0.76 [0.66, 0.87]). The MIND diet score at baseline II was more strongly associated with the risk of dementia than the MIND diet score at baseline I. Conclusion: Better adherence to the MIND diet is associated with a decreased risk of dementia within the first years of follow
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- 2022
15. Ocular manifestations of hypertension
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Bhargava, M., Ikram, M.K., and Wong, T.Y.
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- 2012
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16. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
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Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., Vries, T. de, Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J.W., Veronesi, G., Bolton, T., Dendale, P., Ference, B.A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., Bacquer, D. de, Blankenberg, S., Dorresteijn, J., Angelantonio, E. di, Achenbach, S., Aleksandrova, K., Amiano, P., Amouyel, P., Andersson, J., Bakker, S.J.L., Costa, R.B.D., Beulens, J.W.J., Blaha, M., Bobak, M., Boer, J.M.A., Bonet, C., Bonnet, F., Boutron-Ruault, M.C., Braaten, T., Brenner, H., Brunner, F., Brunner, E.J., Brunstrom, M., Buring, J., Butterworth, A.S., Capkova, N., Cesana, G., Chrysohoou, C., Colorado-Yohar, S., Cook, N.R., Cooper, C., Dahm, C.C., Davidson, K., Dennison, E., Castelnuovo, A. di, Donfrancesco, C., Dorr, M., Dorynska, A., Eliasson, M., Engstrom, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R.T., Giampaoli, S., Gillum, R.F., Camara, A.G. de la, Grassi, G., Hansson, P.O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M.K., Jorgensen, T., Joseph, B., Jousilahti, P., Jukema, J.W., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., Konig, W., Kronmal, R.A., Kubinova, R., Kucharska-Newton, A., Lall, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D.L., Lorenz, T., Lu, W.T., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibanez, A.M., Masala, G., Mathiesen, E.B., Matsushita, K., Meade, T.W., Melander, O., Meyer, H.E., Moons, K.G.M., Moreno-Iribas, C., Muller, D., Munzel, T., Nikitin, Y., Nordestgaard, B.G., Omland, T., Onland, C., Overvad, K., Packard, C., Pajak, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietila, A., Pikhart, H., Psaty, B.M., Quarti-Trevano, F., Garcia, J.R.Q., Riboli, E., Ridker, P.M., Rodriguez, B., Rodriguez-Barranco, M., Rosengren, A., Roussel, R., Sacerdote, C., Sans, S., Sattar, N., Schiborn, C., Schmidt, B., Schottker, B., Schulze, M., Schwartz, J.E., Selmer, R.M., Shea, S., Shipley, M.J., Sieri, S., Soderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjonneland, A., Tong, T.Y.N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., Heijden, A. van der, Schouw, Y.T. van der, Verschuren, W.M.M., Volzke, H., Waldeyer, C., Wareham, N.J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D.D., Zhou, B., SCORE2 Working Grp, ESC Cardiovasc Risk Collaboration, collaboration, SCORE2 working group and ESC Cardiovascular risk, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Epidemiology, Neurology, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, and Apollo - University of Cambridge Repository
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Male ,Cardiology ,RATIONALE ,Blood Pressure ,Disease ,030204 cardiovascular system & hematology ,PROFILE ,ACUTE CORONARY EVENTS ,VALIDATION ,Europe/epidemiology ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,DESIGN ,Clinical Research ,Risk Factors ,Diabetes mellitus ,medicine ,PARTICIPANTS ,Humans ,030212 general & internal medicine ,Risk factor ,Aged ,Primary prevention ,business.industry ,10-year CVD risk ,Incidence (epidemiology) ,Cardiovascular Diseases/epidemiology ,Risk Prediction ,Cardiovascular Disease ,Primary Prevention ,10-year Cvd Risk ,External validation ,PRIMARY-CARE ,Middle Aged ,medicine.disease ,Cardiovascular disease ,Risk prediction ,3. Good health ,Europe ,Prediction algorithms ,Blood pressure ,Cardiovascular Diseases ,Smoking status ,Female ,Cardiology and Cardiovascular Medicine ,business ,Algorithms ,Demography - Abstract
Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe. Acknowledgements We thank investigators and participants of the several studies that contributed data to the Emerging Risk Factors Collaboration (ERFC). This research has been conducted using the UK Biobank Resource under Application Number 26865. Data from the Clinical Practice Research Datalink (CPRD) were obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (protocol 162RMn2). CPRD uses data provided by patients and collected by the NHS as part of their care and support. We thank all EPIC participants and staff for their contribution to the study, the laboratory teams at the Medical Research Council Epidemiology Unit for sample management and Cambridge Genomic Services for genotyping, Sarah Spackman for data management and the team at the EPIC-CVD Coordinating Centre for study co-ordination and administration. Funding The ERFC co-ordinating centre was underpinned by programme grants from the British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946), BHF Centre of Research Excellence (RE/18/1/34212), the UK Medical Research Council (MR/L003120/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014), with project-specific support received from the UK NIHR [*], British United Provident Association UK Foundation and an unrestricted educational grant from GlaxoSmithKline. A variety of funding sources have supported recruitment, follow-up, and laboratory measurements in the studies contributing data to the ERFC, which are listed on the ERFC website (www.phpc.cam.ac.uk/ceu/erfc/list-of-studies). *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. The MORGAM Project has received funding from EU projects MORGAM (Biomed BMH4-CT98-3183), GenomEUtwin (FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413),CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7,HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations). This has supported central coordination, workshops and part of the activities of the MORGAM Data Centre, the MORGAM Laboratories and the MORGAM Participating Centres EPIC-CVD was funded by the European Research Council (268834), and the European Commission Framework Programme 7 (HEALTH-F2-2012-279233). This work was supported by the Estonian Research Council grant PUTs (PRG687, PUT1660, PUT1665, PRG184), by European Union through the European Regional Development Fund project no. MOBERA5 (Norface Network project no 462.16.107), by the Green ICT programme under Norway Grants 2014 – 2021 (grant number EU53928), by the European Union through Horizon 2020 grant no. 810645 and through the European Regional Development Fund (Project No. 2014-2020.4.01.16-0125) and by the PRECISE4Q consortium. PRECISE4Q project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 777107. This work was partly funded through the CoMorMent project. CoMorMent has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 847776. The KORA study was initiated and financed by the Helmholtz Zentrum Mu¨nchen—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. The KORA study was supported by a research grant from the Virtual Institute of Diabetes Research (Helmholtz Zentrum Mu¨nchen), the Clinical Cooperation Group Diabetes between Ludwig-Maximilians-Universita¨t Mu¨nchen and Helmholtz Zentrum Mu¨nchen, and by the German Diabetes Center (DDZ). The HAPIEE project, Institute, was supported by grants from the Wellcome Trust (064947/Z/01/Z; WT081081) and US National Institute on Aging (1R01 and AG23522). The co-ordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC). The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Ge´ne´rale de l’Education Nationale, Institut National de la Sante´ et de la Recherche Me´dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch 2448 SCORE2 working group and ESC Cardiovascular Risk Collaboration Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucı´a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology—ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Ska˚ne and Va¨sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom)
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- 2021
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17. Carotid plaque composition and prediction of new-onset atherosclerotic cardiovascular disease among women and men
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Van Der Toorn, J.E., primary, Bos, D., additional, Verwoert, G.C., additional, Van Der Lugt, A., additional, Ikram, M.K., additional, Ikram, M.A., additional, Vernooij, M.W., additional, and Kavousi, M., additional
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- 2021
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18. Mental health in people with Parkinson's disease during the COVID-19 pandemic: potential for targeted interventions?
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Dommershuijsen, L.J., Heide, A. van der, Berg, E.M. van den, Labrecque, J.A., Ikram, M.K., Ikram, M.A., Bloem, B.R., Helmich, R.C.G., Darweesh, S.K.L., Dommershuijsen, L.J., Heide, A. van der, Berg, E.M. van den, Labrecque, J.A., Ikram, M.K., Ikram, M.A., Bloem, B.R., Helmich, R.C.G., and Darweesh, S.K.L.
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Contains fulltext : 239982.pdf (Publisher’s version ) (Open Access)
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- 2021
19. Trajectories of Cognitive and Motor Function Between Ages 45 and 90 Years: A Population-Based Study
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Willik, K.D. van der, Licher, S., Vinke, E.J., Knol, M.J., Darweesh, S.K.L., Geest, J.N. van der, Schagen, S.B., Ikram, M.K., Luik, A.I., Ikram, M.Arfan, Willik, K.D. van der, Licher, S., Vinke, E.J., Knol, M.J., Darweesh, S.K.L., Geest, J.N. van der, Schagen, S.B., Ikram, M.K., Luik, A.I., and Ikram, M.Arfan
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Item does not contain fulltext, BACKGROUND: To establish trajectories of cognitive and motor function, and to determine the sequence of change across individual tests in community-dwelling individuals aged 45-90 years. METHOD: Between 1997 and 2016, we repeatedly assessed cognitive function with 5 tests in 9514 participants aged 45-90 years from the population-based Rotterdam Study. Between 1999 and 2016, we measured motor function with 3 tests in 8297 participants. All participants were free from dementia, stroke, and parkinsonism. We assessed overall and education-specific cognitive and motor trajectories using linear mixed models with age as time scale. Next, we determined the sequence of change across individual tests. RESULTS: The number of assessments per participant ranged between 1 and 6 (mean interval, years [SD]: 5.1 [1.4]) for cognitive function, and 1 and 4 (5.4 [1.4]) for motor function. Cognitive and motor trajectories declined linearly between ages 45 and 65 years, followed by steeper declines after ages 65-70 years. Lower educated participants had lower cognitive function at age 45 years (baseline), and declined faster on most cognitive, but not on motor tests than higher educated participants. Up to a 25-year age difference between the fastest and slowest declining test scores was observed. CONCLUSIONS: On a population-level, cognitive and motor function decline similarly. Compared to higher educated individuals, lower educated individuals had lower cognitive function at baseline, and a faster rate of decline thereafter. These educational-effects were not seen for motor function. These findings benefit the understanding of the natural course of cognitive and motor function during aging, and highlight the role of education in the preservation of cognitive but not motor function.
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- 2021
20. Trajectories of Cognitive and Motor Function Between Ages 45 and 90 Years: A Population-Based Study
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Willik, K.D. (Kimberly) van der, Licher, S. (Silvan), Vinke, E.J. (Elisabeth J.), Knol, M.J. (Maria J.), Darweesh, S.K.L. (Sirwan), Geest, J.N. (Jos) van der, Schagen, S.B. (Sanne), Ikram, M.K. (M Kamran), Luik, A.I. (Annemarie), Ikram, M.A. (Arfan), Willik, K.D. (Kimberly) van der, Licher, S. (Silvan), Vinke, E.J. (Elisabeth J.), Knol, M.J. (Maria J.), Darweesh, S.K.L. (Sirwan), Geest, J.N. (Jos) van der, Schagen, S.B. (Sanne), Ikram, M.K. (M Kamran), Luik, A.I. (Annemarie), and Ikram, M.A. (Arfan)
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BACKGROUND: To establish trajectories of cognitive and motor function, and to determine the sequence of change across individual tests in community-dwelling individuals aged 45-90 years. METHOD: Between 1997 and 2016, we repeatedly assessed cognitive function with 5 tests in 9514 participants aged 45-90 years from the population-based Rotterdam Study. Between 1999 and 2016, we measured motor function with 3 tests in 8297 participants. All participants were free from dementia, stroke, and parkinsonism. We assessed overall and education-specific cognitive and motor trajectories using linear mixed models with age as time scale. Next, we determined the sequence of change across individual tests. RESULTS: The number of assessments per participant ranged between 1 and 6 (mean interval, years [SD]: 5.1 [1.4]) for cognitive function, and 1 and 4 (5.4 [1.4]) for motor function. Cognitive and motor trajectories declined linearly between ages 45 and 65 years, followed by steeper declines after ages 65-70 years. Lower educated participants had lower cognitive function at age 45 years (baseline), and declined faster on most cognitive, but not on motor tests than higher educated participants. Up to a 25-year age difference between the fastest and slowest declining test scores was observed. CONCLUSIONS: On a population-level, cognitive and motor function decline similarly. Compared to higher educated individuals, lower educated individuals had lower cognitive fu
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- 2021
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21. Structural disconnectivity and the risk of dementia in the general population
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Cremers, L.G.M. (Lotte), Wolters, F.J. (Frank), Groot, M. de, Ikram, M.K. (Kamran), Lugt, A. (Aad) van der, Niessen, W.J. (Wiro), Vernooij, M.W. (Meike), Ikram, M.A. (Arfan), Cremers, L.G.M. (Lotte), Wolters, F.J. (Frank), Groot, M. de, Ikram, M.K. (Kamran), Lugt, A. (Aad) van der, Niessen, W.J. (Wiro), Vernooij, M.W. (Meike), and Ikram, M.A. (Arfan)
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Objective The disconnectivity hypothesis postulates that partial loss of connecting white matter fibers between brain regions contributes to the development of dementia. Using diffusion MRI to quantify global and tract-specific white matter microstructural integrity, we tested this hypothesis in a longitudinal population-based study. Methods Global and tract-specific fractional anisotropy (FA) and mean diffusivity (MD) were obtained in 4,415 people without dementia (mean age 63.9 years, 55.0% women) from the prospective population-based Rotterdam Study with brain MRI between 2005 and 2011. We modeled the association of these diffusion measures with risk of dementia (follow-up until 2016) and with changes on repeated cognitive assessment after on average 5.4 years, adjusting for age, sex, education, macrostructural MRI markers, depressive symptoms, cardiovascular risk factors, and APOE genotype. Results During a median follow-up of 6.8 years, 101 participants had incident dementia, of whom 83 had clinical Alzheimer disease (AD). Lower global values of FA and higher values of MD were associated with an increased risk of dementia (adjusted hazard ratio [95% confidence interval (CI)] per SD increase for MD 1.79 [1.44–2.23] and FA 0.65 [0.52–0.80]). Similarly, lower global values of FA and higher values of MD related to more cognitive decline in people without dementia (difference in global cognition per SD increase in MD [95% CI] was −0.04 [−0.07 to −0.01]). Associations were most profound in the projection, association, and limbic system tracts. Conclusions Structural disconnectivity is associated with an increased risk of dementia and more pronounced cognitive decline in the general population.
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- 2020
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22. Objectives, design and main findings until 2020 from the Rotterdam Study
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Ikram, M.Arfan, Brusselle, G., Ghanbari, M., Goedegebure, A., Ikram, M.K., Kavousi, M., Kieboom, B.C., Klaver, C.C.W., Knegt, R.J. de, Luik, A.I., Nijsten, T.E., Peeters, R.P., Rooij, F.J. van, Stricker, B.H., Uitterlinden, A.G., Vernooij, M.W., Voortman, T., Ikram, M.Arfan, Brusselle, G., Ghanbari, M., Goedegebure, A., Ikram, M.K., Kavousi, M., Kieboom, B.C., Klaver, C.C.W., Knegt, R.J. de, Luik, A.I., Nijsten, T.E., Peeters, R.P., Rooij, F.J. van, Stricker, B.H., Uitterlinden, A.G., Vernooij, M.W., and Voortman, T.
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Contains fulltext : 220949.pdf (Publisher’s version ) (Open Access), The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life. The study focuses on cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1700 research articles and reports. This article provides an update on the rationale and design of the study. It also presents a summary of the major findings from the preceding 3 years and outlines developments for the coming period.
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- 2020
23. The Risk of Dementia in Relation to Cognitive and Brain Reserve
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Lamballais, S, Zijlmans, J.L., Vernooij, M.W. (Meike), Ikram, M.K. (Kamran), Luik, A.I. (Annemarie), Ikram, M.A. (Arfan), Lamballais, S, Zijlmans, J.L., Vernooij, M.W. (Meike), Ikram, M.K. (Kamran), Luik, A.I. (Annemarie), and Ikram, M.A. (Arfan)
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Background: Individual differences in the risk to develop dementia remain poorly understood. These differences may partly be explained through reserve, which is the ability to buffer cognitive decline due to neuropathology and age. Objective: To determine how much early and late–life cognitive reserve (CR) and brain reserve (BR) contribute to the risk of dementia. Methods: 4,112 dementia-free participants (mean age = 66.3 years) from the Rotterdam Study were followed up for on average 6.0 years. Early-life CR and BR were defined as attained education and intracranial volume, respectively. Late-life CR was derived through variance decomposition based on cognition. Late-life BR was set as the total non-lesioned brain volume divided by intracranial volume. Results: Higher early-life CR (hazard ratio = 0.48, 95% CI = [0.21; 1.06]) but not early-life BR associated with a lower risk of incident dementia. Higher late-life CR (hazard ratio = 0.57, 95% CI = [0.48; 0.68]) and late-life BR (hazard ratio = 0.54, 95% CI = [0.43; 0.68]) also showed lower levels of dementia. Combining all proxies into one model attenuated the association between early-life CR and dementia (hazard ratio = 0.56, 95% CI = [0.25; 1.25]) whereas the other associations were unaffected. These findings were stable upon stratification for sex, age, and APOE ɛ4. Finally, high levels of la
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- 2020
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24. Twenty-seven-year time trends in dementia incidence in Europe and the United States: The Alzheimer Cohorts Consortium
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Wolters, F.J. (Frank), Chibnik, L.B. (Lori), Waziry, R. (Reem), Anderson, R. (Roy), Berr, C. (Claudine), Beiser, A. (Alexa), Bis, J.C. (Joshua), Blacker, D. (Deborah), Bos, D. (Daniel), Brayne, C. (Carol), Dartigues, J.-F., Darweesh, S.K.L. (Sirwan), Davis-Plourde, K.L. (Kendra L.), de Wolf, F. (Frank), Debette, S. (Stéphanie), Dufouil, C. (Carole), Fornage, M. (Myriam), Goudsmit, J. (Jaap), Grasset, L. (Leslie), Gudnason, V. (Vilmundur), Hadjichrysanthou, C. (Christoforos), Helmer, C. (Catherine), Ikram, M.A. (Arfan), Ikram, M.K. (Kamran), Joas, E. (Erik), Kern, S. (Silke), Kuller, L.H. (Lewis), Launer, L.J. (Lenore), Lopez, O.L. (Oscar), Matthews, F.E. (Fiona), McRae-McKee, K. (Kevin), Meirelles, O., Mosley, T.H. (Thomas H.), Pase, M.P. (Matthew P.), Psaty, B.M. (Bruce), Satizabal, C.L. (Claudia), Seshadri, S. (Sudha), Skoog, I., Stephan, B.C.M., Wetterberg, H. (Hanna), Wong, M.M. (Mei Mei), Zettergren, A. (Anna), Hofman, A. (Albert), Wolters, F.J. (Frank), Chibnik, L.B. (Lori), Waziry, R. (Reem), Anderson, R. (Roy), Berr, C. (Claudine), Beiser, A. (Alexa), Bis, J.C. (Joshua), Blacker, D. (Deborah), Bos, D. (Daniel), Brayne, C. (Carol), Dartigues, J.-F., Darweesh, S.K.L. (Sirwan), Davis-Plourde, K.L. (Kendra L.), de Wolf, F. (Frank), Debette, S. (Stéphanie), Dufouil, C. (Carole), Fornage, M. (Myriam), Goudsmit, J. (Jaap), Grasset, L. (Leslie), Gudnason, V. (Vilmundur), Hadjichrysanthou, C. (Christoforos), Helmer, C. (Catherine), Ikram, M.A. (Arfan), Ikram, M.K. (Kamran), Joas, E. (Erik), Kern, S. (Silke), Kuller, L.H. (Lewis), Launer, L.J. (Lenore), Lopez, O.L. (Oscar), Matthews, F.E. (Fiona), McRae-McKee, K. (Kevin), Meirelles, O., Mosley, T.H. (Thomas H.), Pase, M.P. (Matthew P.), Psaty, B.M. (Bruce), Satizabal, C.L. (Claudia), Seshadri, S. (Sudha), Skoog, I., Stephan, B.C.M., Wetterberg, H. (Hanna), Wong, M.M. (Mei Mei), Zettergren, A. (Anna), and Hofman, A. (Albert)
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OBJECTIVE: To determine changes in the incidence of dementia between 1988 and 2015. METHODS: This analysis was performed in aggregated data from individuals >65 years of age in 7 population-based cohort studies in the United States and Europe from the Alzheimer Cohort Consortium. First, we calculated age- and sex-specific incidence rates for all-cause dementia, and then defined nonoverlapping 5-year epochs within each study to determine trends in incidence. Estimates of change per 10-year interval were pooled and results are presented combined and stratified by sex. RESULTS: Of 49,202 individuals, 4,253 (8.6%) developed dementia. The incidence rate of dementia increased with age, similarly for women and men, ranging from about 4 per 1,000 person-years in individuals aged 65-69 years to 65 per 1,000 person-years for those aged 85-89 years. The incidence rate of dementia declined by 13% per calendar decade (95% confidence interval [CI], 7%-19%), consistently across studies, and somewhat more pronouncedly in men than in women (24% [95% CI 14%-32%] vs 8% [0%-15%]). CONCLUSION: The incidence rate of dementia in Europe and North America has declined by 13% per decade over the past 25 years, consistently across studies. Incidence is similar for men and women, although declines were somewhat more profound in men. These observations call for sustained efforts to finding the causes for this decline, as well as determining their validity in geographically and ethnically diverse populations.
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- 2020
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25. Quantitative Gait Impairments in Patients With Stroke or Transient Ischemic Attack: A Population-Based Approach
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Heshmatollah, A. (Alis), Darweesh, S.K.L. (Sirwan), Dommershuijsen, L.J. (Lisanne J.), Koudstaal, P.J. (Peter), Ikram, M.A. (Arfan), Ikram, M.K. (Kamran), Heshmatollah, A. (Alis), Darweesh, S.K.L. (Sirwan), Dommershuijsen, L.J. (Lisanne J.), Koudstaal, P.J. (Peter), Ikram, M.A. (Arfan), and Ikram, M.K. (Kamran)
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BACKGROUND AND PURPOSE: Gait is a complex process involving various cortical and subcortical brain regions. An acute stroke or transient ischemic attack (TIA) may disrupt white and gray matter integrity and, therefore, affect gait in patients without evident neurological signs. We determined whether patients with stroke and TIA experience subtle changes in global gait and several independent gait domains. METHODS: In the population-based Rotterdam Study, 4456 participants (median age, 65 years; 55% women) underwent detailed quantitative gait assessment (GAITRite) between 2009 and 2016. We summarized 30 gait parameters into a global gait score and 7 mutually independent gait domains. First, we assessed the association between prior stroke or TIA and global and domain-specific gait using linear regression models adjusted for age, sex, vascular risk factors, and cognition. Subsequently, we repeated the analysis stratified by the presence of different neurological symptoms in a subgroup of participants with ischemic stroke after study entry. RESULTS: Compared with participants without prior stroke, patients with stroke had a worse global gait (SD, -0.49 [95% CI, -0.64 to -0.34]), especially in the gait domains Pace, Phases, and Turning. The detrimental effect of stroke on gait was amplified in participants with worse cognition. No gait differences were found between participants with and without prior TIA. Ischemic stroke patients without lower limb weakness, loss of coordination, or visuospatial problems still had a worse gait compared with participants without stroke. Stratification by different stroke symptoms showed that different gait domains were affected in each group. CONCLUSIONS: Prior stroke without neurological signs that affect gait is still associated with gait difficulties compared with individuals without stroke. Our study suggests that stroke not only has a direct impact on gait through neurological impairments but also includes an indirect effect possib
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- 2020
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26. Time Trends in Survival Following First Hemorrhagic or Ischemic Stroke Between 1991 and 2015 in the Rotterdam Study
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Waziry, R. (Reem), Heshmatollah, A. (Alis), Bos, D. (Daniel), Chibnik, L.B. (Lori), Ikram, M.A. (Arfan), Hofman, A. (Albert), Ikram, M.K. (Kamran), Waziry, R. (Reem), Heshmatollah, A. (Alis), Bos, D. (Daniel), Chibnik, L.B. (Lori), Ikram, M.A. (Arfan), Hofman, A. (Albert), and Ikram, M.K. (Kamran)
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Background and Purpose- The introduction of stroke units and the implementation of evidence-based interventions have been a breakthrough in the management o
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- 2020
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27. Exercise interventions for the prevention of depression: a systematic review of meta-analyses
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Hu, M.X. (Mandy X.), Turner, D. (David), Generaal, E. (Ellen), Bos, D. (Daniel), Ikram, M.K. (Kamran), Ikram, M.A. (Arfan), Cuijpers, P. (Pim), Penninx, B.W.J.H. (Brenda), Hu, M.X. (Mandy X.), Turner, D. (David), Generaal, E. (Ellen), Bos, D. (Daniel), Ikram, M.K. (Kamran), Ikram, M.A. (Arfan), Cuijpers, P. (Pim), and Penninx, B.W.J.H. (Brenda)
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BACKGROUND: Exercise may be a promising target for depression interventions. However, evidence for a beneficial effect of exercise interventions on the prevention of depression differs substantially across different studies. METHODS: A systematic search was performed up to July 2018 using PubMed, Embase, PsycINFO, and Cochrane. Articles were included if a meta-analysis of randomized controlled trials was performed that examined the effect of exercise interventions on the onset of depression or depressive symptoms in the general population. Meta-analyses focusing on treatment of diagnosed depression were excluded. Two authors independently screened the articles and graded the quality of included meta-analyses using AMSTAR 2. RESULTS: Eight meta-analyses were included that showed little overlap in 134 included studies. All meta-analyses reported on depressive symptoms rather than onset of depression. Five of these were rated as moderate quality and three of low quality. Six meta-analyses found significant effects, and two found non-significant effects of exercise interventions in reducing depressive symptoms in children, adolescents, adults and the elderly (effect sizes ranging from - 0.10 to - 0.81). Scarce evidence did not allow to draw conclusions about the role of sex and characteristics of exercise on depression. However, some findings suggest that low intensity exercise was as effective as high intensity exercise. Heterogeneity among primary studies was high, likely caused by differences in study quality and exercise characteristics. CONCLUSIONS: The evidence from this study suggests that exercise interventions have a beneficial effect on depressive symptoms in the general population across a wide age-range.
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- 2020
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28. Actigraphy-estimated sleep and 24-hour activity rhythms and the risk of dementia
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Lysen, T.S. (Thom), Luik, A.I. (Annemarie), Ikram, M.K. (Kamran), Tiemeier, H.W. (Henning), Ikram, M.A. (Arfan), Lysen, T.S. (Thom), Luik, A.I. (Annemarie), Ikram, M.K. (Kamran), Tiemeier, H.W. (Henning), and Ikram, M.A. (Arfan)
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INTRODUCTION: We investigated and compared associations of objective estimates of sleep and 24-hour activity rhythms using actigraphy with risk of dementia. METHODS: We included 1322 non-demented participants from the prospective, population-based Rotterdam Study cohort with valid actigraphy data (mean age 66 ± 8 years, 53% women), and followed them for up to 11.2 years to determine incident dementia. RESULTS: During follow-up, 60 individuals developed dementia, of which 49 had Alzheimer's disease (AD). Poor sleep as indicated by longer sleep latency, wake after sleep onset, and time in bed and lower sleep efficiency, as well as an earlier "lights out" time, were associated with increased risk of dementia, especially AD. We found no associations of 24-hour activity rhythms with dementia risk. DISCUSSION: Poor sleep, but not 24-hour activity rhythm disturbance, is associated with increased risk of dementia. Actigraphy-estimated nighttime wakefulness may be further targeted in etiologic or risk prediction studies.
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- 2020
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29. Maternal cardiovascular adaptation to twin pregnancy: A population-based prospective cohort study
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Adank, M.A. (Muriel), Broere-Brown, Z.A. (Zoe), Gonçalves, R. (Romy), Ikram, M.K. (Kamran), Jaddoe, V.W.V. (Vincent), Steegers, E.A.P. (Eric), Schalekamp-Timmermans, S. (Sarah), Adank, M.A. (Muriel), Broere-Brown, Z.A. (Zoe), Gonçalves, R. (Romy), Ikram, M.K. (Kamran), Jaddoe, V.W.V. (Vincent), Steegers, E.A.P. (Eric), and Schalekamp-Timmermans, S. (Sarah)
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Background: In women with singleton pregnancies, maternal adaptation is considered a stress test for later life cardiovascular disease. The aim of this study was to assess maternal adaptation in women with twin pregnancies compared to women carrying singletons during and after pregnancy. Methods: This was a population based prospective cohort study of 91 women with twin pregnancies and 8107 women carrying singletons. The association of twin pregnancy and maternal adaptation was examined using regression analyses. In pregnancy, we measured soluble fms-like tyrosine kinase-1 (sFLT-1), placental growth (PGF) factor, systolic (SBP) and diastolic blood pressure (DBP), and the occurrence of pre-eclampsia (PE). After pregnancy, measurements were obtained on SBP and DBP, cardiac function, retinal calibres, intima media thickness and distensibility of the common carotid artery. Results: sFLT-1 and PGF concentrations were higher in early (13.4 weeks) and mid-pregnancy (20.4 weeks) in women with twin pregnancies compared to women with singleton pregnancies. Women with twin pregnancies had a different DBP pattern in pregnancy. Women with twin pregnancies were more likely to have PE (odds ratio 3.63; 95% CI [1.76 to 7.48]). Six and ten years after pregnancy, no differences in maternal adaptation were observed. Conclusions: Women with twin pregnancies show an altered adaptation during pregnancy compared to women with singleton pregnancies. This is associated with a substantially increased incidence of PE, but does not lead to persistent altered maternal adaptation years after pregnancy.
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- 2020
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30. Plasma tau, neurofilament light chain and amyloid-beta levels and risk of dementia; a population-based cohort study
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Wolf, F. (Frank) de, Ghanbari, M. (Mohsen), Licher, S., McRae-McKee, K., Gras, L.A. (Luuk), Weverling, G.J. (Gerrit), Wermeling, P., Sedaghat, S. (Sanaz), Ikram, M.K. (Kamran), Waziry, R., Koudstaal, W. (Wouter), Klap, J., Kostense, S., Hofman, A. (Albert), Anderson, R, Goudsmit, J. (Jaap), Ikram, M.A. (Arfan), Wolf, F. (Frank) de, Ghanbari, M. (Mohsen), Licher, S., McRae-McKee, K., Gras, L.A. (Luuk), Weverling, G.J. (Gerrit), Wermeling, P., Sedaghat, S. (Sanaz), Ikram, M.K. (Kamran), Waziry, R., Koudstaal, W. (Wouter), Klap, J., Kostense, S., Hofman, A. (Albert), Anderson, R, Goudsmit, J. (Jaap), and Ikram, M.A. (Arfan)
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CSF biomarkers, including total-tau, neurofilament light chain (NfL) and amyloid-b, are increasingly being used to define and stage Alzheimer’s disease. These biomarkers can be measured more quickly and less invasively in plasma and may provide important information for early diagnosis of Alzheimer’s disease. We used stored plasma samples and clinical data obtained from 4444 nondemented participants in the Rotterdam study at baseline (between 2002 and 2005) and during follow-up until January 2016. Plasma concentrations of total-tau, NfL, amyloid-b40 and amyloid-b42 were measured using the Simoa NF-lightVR and N3PA assays. Associations between biomarker plasma levels and incident all-cause and Alzheimer’s disease dementia during follow-up were assessed using Cox proportional-hazard regression models adjusted for age, sex, education, cardiovascular risk factors and APOE e4 status. Moreover, biomarker plasma levels and rates of change over time of participants who developed Alzheimer’s disease dementia during follow-up were compared with age and sex-matched dementia-free control subjects. During up to 14 years follow-up, 549 participants developed dementia, including 374 cases with
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- 2020
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31. Life expectancy of parkinsonism patients in the general population
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Dommershuijsen, L.J. (Lisanne J.), Heshmatollah, A. (Alis), Darweesh, S.K.L. (Sirwan), Koudstaal, P.J. (Peter), Ikram, M.A. (Arfan), Ikram, M.K. (Kamran), Dommershuijsen, L.J. (Lisanne J.), Heshmatollah, A. (Alis), Darweesh, S.K.L. (Sirwan), Koudstaal, P.J. (Peter), Ikram, M.A. (Arfan), and Ikram, M.K. (Kamran)
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Introduction: Detailed data on the life expectancy of patients with parkinsonism from the general population are largely lacking. This study aimed to determine the absolute life expectancy of patients newly-diagnosed with parkinsonism. Methods: This study was part of the Rotterdam Study, an ongoing, population-based cohort study in the Netherlands. We included 12,789 participants of 50 years and older, free of parkinsonism. Patients diagnosed with parkinsonism were matched to controls on sex, birth year, dementia status, cancer status, and coronary heart disease status. We used Gompertz regression and lifetables to estimate the remaining life expectancy per year of age. Results: The mean age of our study population was 65.0 (SD 9.7) years and 57.6% were women. During an average follow-up of 12 years, 297 participants were diagnosed with parkinsonism. The mean age at parkinsonism diagnosis was 78.6 (SD 8.1) years. Once diagnosed with parkinsonism, the life expectancy was lower than matched controls across a wide age range. At 65 years, the life expectancy of patients with parkinsonism was reduced with 6.7 [95% CI: 2.4;10.7] years compared to controls. At 85, the difference in life expectancy was 1.2 [95% CI: -2.2;4.5] years compared to controls. Conclusion: Patients diagnosed with parkinsonism have a reduced life expectancy compared to their peers in the general population. The absolute life expectancy is mainly reduced if parkinsonism is diagnosed before the age of 70.
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- 2020
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32. Cognitive and physical impairment and the risk of stroke - A prospective cohort study
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Heshmatollah, A. (A.), Mutlu, U. (Ünal), Koudstaal, P.J. (Peter), Ikram, M.A. (Arfan), Ikram, M.K. (Kamran), Heshmatollah, A. (A.), Mutlu, U. (Ünal), Koudstaal, P.J. (Peter), Ikram, M.A. (Arfan), and Ikram, M.K. (Kamran)
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The manifestation of cognitive and physical impairment in stroke patients before the acute event suggests accumulating subclinical vascular pathology in the brain. We investigated whether impairments in cognitive and physical functioning were associated with an increased stroke risk. Between 2002 and 2008, 8,519 stroke-free non-demented participants from the population-based Rotterdam Study underwent cognition and physical assessments including Mini-Mental State Examination, 15-word learning test, Stroop test, letter-digit substitution test, verbal fluency test, Purdue pegboard test and questionnaires on basic and instrumental activities of daily living (BADL; IADL). Principal component analysis was used to derive global cognition (G-factor). Incident stroke was assessed through continuous monitoring of medical records until 2016. Among 8,519 persons (mean age 66.0 years; 57.8% women
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- 2020
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33. The association of innate and adaptive immunity, subclinical atherosclerosis, and cardiovascular disease in the Rotterdam Study: A prospective cohort study
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Fani, L. (Lana), Willik, K.D. (Kimberly) van der, Bos, D. (Daniel), Leening, M.J.G. (Maarten J G), Koudstaal, P.J. (Peter), Rizopoulos, D. (Dimitris), Ruiter, T.R. (Rikje), Stricker, B.H.Ch. (Bruno), Kavousi, M. (Maryam), Ikram, M.A. (Arfan), Ikram, M.K. (Kamran), Fani, L. (Lana), Willik, K.D. (Kimberly) van der, Bos, D. (Daniel), Leening, M.J.G. (Maarten J G), Koudstaal, P.J. (Peter), Rizopoulos, D. (Dimitris), Ruiter, T.R. (Rikje), Stricker, B.H.Ch. (Bruno), Kavousi, M. (Maryam), Ikram, M.A. (Arfan), and Ikram, M.K. (Kamran)
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BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is driven by multifaceted contributions of the immune system. However, the dysregulation of immune cells that leads to ASCVD is poorly understood. We determined the association of components of innate and adaptive immunity longitudinally with ASCVD, and assessed whether arterial calcifications play a role in this association. METHODS AND FINDINGS: Granulocyte (innate immunity) and lymphocyte (adaptive immunity) counts were determined 3 times (2002-2008, mean age 65.2 years; 2009-2013, mean age 69.0 years; and 2014-2015, mean age 78.5 years) in participants of the population-based Rotterdam Study without ASCVD at baseline. Participants were followed-up for ASCVD or death until 1 January 2015. A random sample of 2,366 underwent computed tomography at baseline to quantify arterial calcification volume in 4 vessel beds. We studied the association between immunity components with risk of ASCVD and assessed whether immunity components were related to arterial calcifications at baseline. Of 7,730 participants (59.4% women), 801 developed ASCVD during a median follow-up of 8.1 years. Having an increased granulocyte count increased ASCVD risk (adjusted hazard ratio for doubled granulocyte count [95% CI] = 1.78 [1.34-2.37], P < 0.001). Higher granulocyte counts were related to larger calcification volumes in all vessels, most prominently in the coronary arteries (mean difference in calcium volume [mm3] per SD increase in granulocyte count [95% CI] = 32.3 [9.9-54.7], P < 0.001). Respectively, the association between granulocyte count and incident coronary heart disease and stroke was partly mediated by coronary artery calcification (overall proportion mediated [95% CI] = 19.0% [-10% to 32.3%], P = 0.08) and intracranial artery calcification (14.9% [-10.9% to 19.1%], P = 0.05). A limitation of our study is that studying the etiology of ASCVD remains difficult within an epidemiological setting due to the limited availabi
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34. Objectives, design and main findings until 2020 from the Rotterdam Study
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Ikram, M.A. (Arfan), Brusselle, G.G. (Guy), Ghanbari, M. (Mohsen), Goedegebure, A. (Andre), Ikram, M.K. (Kamran), Kavousi, M. (Maryam), Kieboom, B.C.T. (Brenda), Klaver, C.C.W. (Caroline), Knegt, R.J. (Robert) de, Luik, A.I. (Annemarie), Nijsten, T.E.C. (Tamar), Peeters, R.P. (Robin), Rooij, F.J.A. (Frank) van, Stricker, B.H.Ch. (Bruno), Uitterlinden, A.G. (André), Vernooij, M.W. (Meike), Voortman, R.G. (Trudy), Ikram, M.A. (Arfan), Brusselle, G.G. (Guy), Ghanbari, M. (Mohsen), Goedegebure, A. (Andre), Ikram, M.K. (Kamran), Kavousi, M. (Maryam), Kieboom, B.C.T. (Brenda), Klaver, C.C.W. (Caroline), Knegt, R.J. (Robert) de, Luik, A.I. (Annemarie), Nijsten, T.E.C. (Tamar), Peeters, R.P. (Robin), Rooij, F.J.A. (Frank) van, Stricker, B.H.Ch. (Bruno), Uitterlinden, A.G. (André), Vernooij, M.W. (Meike), and Voortman, R.G. (Trudy)
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The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life. The study focuses on cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases.As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1700 research articles and reports. This article provides an update on the rationale and design of the study. It also presents a summary of the major findings from the preceding 3 years and outlines developments for the coming period.
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35. Telomere Length and the Risk of Alzheimer's Disease: The Rotterdam Study
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Fani, L. (Lana), Hilal, S. (Saima), Sedaghat, S. (Sanaz), Broer, L. (Linda), Licher, S. (Silvan), Arp, P.P. (Pascal), van Meurs, J.B.J. (Joyce B J), Ikram, M.K. (Kamran), Ikram, M.A. (Arfan), Fani, L. (Lana), Hilal, S. (Saima), Sedaghat, S. (Sanaz), Broer, L. (Linda), Licher, S. (Silvan), Arp, P.P. (Pascal), van Meurs, J.B.J. (Joyce B J), Ikram, M.K. (Kamran), and Ikram, M.A. (Arfan)
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There is a wide interest in biomarkers that capture the burden of detrimental factors as these accumulate with the passage of time, i.e., increasing age. Telomere length has received considerable attention as such a marker, because it is easily quantified and it may aid in disentangling the etiology of dementia or serve as predictive marker. We determined the association of telomere length with risk of Alzheimer's disease and all-cause dementia in a population-based setting. Within the Rotterdam Study, we performed quantitative PCR to measure mean leukocyte telomere length in blood. We determined the association of telomere length with risk of Alzheimer's disease until 2016, using Cox regression models. Of 1,961 participants (mean age 71.4±9.3 years, 57.1% women) with a median follow-up of 8.3 years, 237 individuals were diagnosed with Alzheimer's disease. We found a U-shaped associat
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- 2020
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36. Progress toward standardized diagnosis of vascular cognitive impairment
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Skrobot, Olivia A., Black, Sandra E., Chen, Christopher, DeCarli, Charles, Erkinjuntti, Timo, Ford, Gary A., Kalaria, Rajesh N., O'Brien, John, Pantoni, Leonardo, Pasquier, Florence, Roman, Gustavo C., Wallin, Anders, Sachdev, Perminder, Skoog, Ingmar, Ben-Shlomo, Yoav, Passmore, Anthony P., Love, Seth, Kehoe, Patrick G., Taragano, F.E., Kril, J., Cavalieri, M., Jellinger, K.A., Kovacs, G.G., Engelborghs, S., Lafosse, C., Bertolucci, P.H., Brucki, S., Caramelli, P., de Toledo Ferraz Alves, T.C., Bocti, C., Fulop, T., Hogan, D.B., Hsiung, G.R., Kirk, A., Leach, L., Robillard, A., Sahlas, D.J., Guo, Q., Tian, J., Hokkanen, L., Jokinen, H., Benisty, S., Deramecourt, V., Hauw, J., Lenoir, H., Tsatali, M., Tsolaki, M., Sundar, U., Coen, R.F., Korczyn, A.D., Altieri, M., Baldereschi, M., Caltagirone, C., Caravaglios, G., Di Carlo, A., Di Piero, V., Gainotti, G., Galluzzi, S., Logroscino, G., Mecocci, P., Moretti, D.V., Padovani, A., Fukui, T., Ihara, M., Mizuno, T., Kim, S.Y., Akinyemi, R., Baiyewu, O., Ogunniyi, A., Szczudlik, A., Bastos-Leite, A.J., Firmino, H., Massano, J., Verdelho, A., Kruglov, L.S., Ikram, M.K., Kandiah, N., Arana, E., Barroso-Ribal, J., Calatayud, T., Cruz-Jentoft, A.J., López-Pousa, S., Martinez-Lage, P., Mataro, M., Börjesson-Hanson, A., Englund, E., Laukka, E.J., Qiu, C., Viitanen, M., Biessels, G.J., de Leeuw, F.-E., den Heijer, T., Exalto, L.G., Kappelle, L.J., Prins, N.D., Richard, E., Schmand, B., van den Berg, E., van der Flier, W.M., Bilgic, B., Allan, L.M., Archer, J., Attems, J., Bayer, A., Blackburn, D., Brayne, C., Bullock, R., Connelly, P.J., Farrant, A., Fish, M., Harkness, K., Ince, P.G., Langhorne, Peter, Mann, J., Matthews, F.E., Mayer, P., Pendlebury, S.T., Perneczky, R., Peters, R., Smithard, D., Stephan, B.C., Swartz, J.E., Todd, S., Werring, D.J., Wijayasiri, S.N., Wilcock, G., Zamboni, G., Au, R., Borson, S., Bozoki, A., Browndyke, J.N., Corrada, M.M., Crane, P.K., Diniz, B.S., Etcher, L., Fillit, H., Greenberg, S.M., Grinberg, L.T., Hurt, S.W., Lamar, M., Mielke, M., Ott, B.R., Perry, G., Powers, W.J., Ramos-Estebanez, C., Reed, B., Roberts, R.O., Romero, J.R., Saykin, A.J., Seshadri, S., Silbert, L., Stern, Y., Zarow, C., Epidemiology, Neurology, General Practice, VICCCS Grp, Clinicum, Neurologian yksikkö, Department of Neurosciences, University of Helsinki, Department of Physics, HUS Neurocenter, Amsterdam Neuroscience - Neurodegeneration, APH - Personalized Medicine, and APH - Methodology
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0301 basic medicine ,Neurology ,Delphi Technique ,Epidemiology ,Delphi method ,Delphi ,Vascular dementia ,3124 Neurology and psychiatry ,0302 clinical medicine ,SMALL VESSEL DISEASE ,Neuropsychological assessment ,Stroke ,medicine.diagnostic_test ,Health Policy ,Neuropsychology ,CLINICAL-CRITERIA ,Brain ,Cognition ,3. Good health ,ALZHEIMERS-DISEASE ,Settore MED/26 - NEUROLOGIA ,Psychiatry and Mental health ,Vascular cognitive impairment ,NINDS-AIREN ,ACUTE STROKE ,STROKE ,Clinical psychology ,medicine.medical_specialty ,Clinical Neurology ,MINI-MENTAL-STATE ,Guidelines ,ATROPHY ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,WHITE-MATTER CHANGES ,Developmental Neuroscience ,Vascular ,medicine ,Journal Article ,Dementia ,Humans ,Intensive care medicine ,business.industry ,Dementia, Vascular ,3112 Neurosciences ,medicine.disease ,Criteria ,030104 developmental biology ,consensus ,Consensus ,Neurology (clinical) ,Geriatrics and Gerontology ,Psychiatry and Mental Health ,CEREBRAL-BLOOD-FLOW ,Human medicine ,business ,030217 neurology & neurosurgery - Abstract
Hanna Jokinen tutkimusryhmän jäsenenä (VICCCS Grp) Introduction: Progress in understanding and management of vascular cognitive impairment (VCI) has been hampered by lack of consensus on diagnosis, reflecting the use of multiple different assessment protocols. A large multinational group of clinicians and researchers participated in a two-phase Vascular Impairment of Cognition Classification Consensus Study (VICCCS) to agree on principles (VICCCS-1) and protocols (VICCCS-2) for diagnosis of VCI. We present VICCCS-2. Methods: We used VICCCS-1 principles and published diagnostic guidelines as points of reference for an online Delphi survey aimed at achieving consensus on clinical diagnosis of VCI. Results: Six survey rounds comprising 65-79 participants agreed guidelines for diagnosis of VICCCS-revised mild and major forms of VCI and endorsed the National Institute of Neurological Disorders-Canadian Stroke Network neuropsychological assessment protocols and recommendations for imaging. Discussion: The VICCCS-2 suggests standardized use of the National Institute of Neurological Disorders-Canadian Stroke Network recommendations on neuropsychological and imaging assessment for diagnosis of VCI so as to promote research collaboration. (C) 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.
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- 2018
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37. Arterial calcification in the prediction of atherosclerotic cardiovascular disease among women and men
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Van Der Toorn, J.E, primary, Bos, D, additional, Arshi, B, additional, Ikram, M.K, additional, Vernooij, M.W, additional, Ikram, M.A, additional, and Kavousi, M, additional
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- 2020
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38. Recommendations and associated levels of evidence for statin use in primary prevention of cardiovascular disease: a comparison at population level of the ESC, ACC/AHA, USPSTF, and CCS Guidelines
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Pavlovic, J, primary, Franco, O.H, additional, Kavousi, M, additional, Ikram, M.K, additional, Deckers, J.W, additional, Ikram, M.A, additional, and Leening, J.G, additional
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- 2020
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39. Dementia risk is higher with actigraphy derived poor sleep but not 24-hour activity rhythm disturbance
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Lysen, T.S., primary, Luik, A.I., additional, Ikram, M.K., additional, Tiemeier, H., additional, and Ikram, M.A., additional
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- 2019
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40. Novel genetic loci associated with hippocampal volume
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Hibar, D.P. (Derrek), Adams, H.H.H. (Hieab), Jahanshad, N. (Neda), Chauhan, G. (Ganesh), Stein, J.L., Hofer, E. (Edith), Rentería, M.E. (Miguel), Bis, J.C. (Joshua), Arias-Vásquez, A. (Alejandro), Ikram, M.K. (M. Kamran), Desrivières, S. (Sylvane), Vernooij, M.W. (Meike), Abramovic, L. (Lucija), Alhusaini, S. (Saud), Amin, N. (Najaf), Andersson, M. (Micael), Arfanakis, K. (Konstantinos), Aribisala, B. (Benjamin), Armstrong, N.J. (Nicola J.), Athanasiu, L. (Lavinia), Axelsson, T. (Tomas), Beecham, A.H. (Ashley), Beiser, A. (Alexa), Bernard, M. (Manon), Blanton, S.H. (Susan H.), Bohlken, M.M. (Marc M.), Boks, M.P.M. (Marco), Bralten, L.B.C. (Linda), Brickman, A.M. (Adam M.), Carmichael, O. (Owen), Chakravarty, M.M. (M. Mallar), Chen, Q. (Qiang), Ching, C.R.K. (Christopher), Chouraki, V. (Vincent), Cuellar-Partida, G. (Gabriel), Crivello, F. (Fabrice), Braber, A. (Anouk) den, Doan, N.T. (Nhat Trung), Ehrlich, S.M. (Stefan), Giddaluru, S. (Sudheer), Goldman, A.L. (Aaron L.), Gottesman, R.F. (Rebecca), Grimm, O. (Oliver), Griswold, M.D. (Michael), Guadalupe, T. (Tulio), Gutman, B.A. (Boris A.), Hass, J. (Johanna), Haukvik, U.K. (Unn), Hoehn, D. (David), Holmes, A.J. (Avram), Hoogman, M. (Martine), Janowitz, D. (Deborah), Jia, T. (Tianye), Jørgensen, K.N. (Kjetil N.), Karbalai, N. (Nazanin), Kasperaviciute, D. (Dalia), Kim, S. (Shinseog), Klein, M. (Marieke), Kraemer, B. (Bernd), Lee, P.H. (Phil), Liewald, D.C.M. (David), Lopez, L.M. (Lorna), Luciano, M. (Michelle), MacAre, C. (Christine), Marquand, A.F. (Andre F.), Matarin, M. (Mar), Mather, R., Mattheisen, M. (Manuel), McKay, D.R. (David R.), Milaneschi, Y. (Yuri), Muñoz Maniega, S. (Susana), Nho, K. (Kwangsik), Nugent, A.C. (Allison), Nyquist, P. (Paul), Loohuis, L.M.O. (Loes M. Olde), Oosterlaan, J. (Jaap), Papmeyer, M. (Martina), Pirpamer, L. (Lukas), Pütz, B. (Benno), Ramasamy, A. (Adaikalavan), Richards, J.S. (Jennifer S.), Risacher, S.L. (Shannon), Roiz-Santiañez, R. (Roberto), Rommelse, N. (Nanda), Ropele, S. (Stefan), Rose, E.J. (Emma), Royle, N.A. (Natalie), Rundek, T. (Tatjana), Sämann, P.G. (Philipp), Saremi, A. (Arvin), Satizabal, C.L. (Claudia), Schmaal, L. (Lianne), Schork, N.J. (Nicholas), Shen, L. (Li), Shin, J. (Jean), Shumskaya, E. (Elena), Smith, A.V. (Albert Vernon), Sprooten, R. (Roy), Strike, L.T. (Lachlan), Teumer, A. (Alexander), Tordesillas-Gutierrez, D. (Diana), Toro, R. (Roberto), Trabzuni, D. (Danyah), Trompet, S. (Stella), Vaidya, D. (Dhananjay), van der Grond, J. (Jeroen), Lee, S.J. (Sven) van der, Van Der Meer, D. (Dennis), Van Donkelaar, M.M.J. (Marjolein M. J.), Eijk, K.R. (Kristel) van, Erp, T.G.M. (Theo G.) van, Van Rooij, D. (Daan), Walton, E. (Esther), Westlye, L.T. (Lars), Whelan, C.D. (Christopher), Windham, B.G. (Gwen), Winkler, A.M. (Anderson), Wittfeld, K. (Katharina), Woldehawariat, G. (Girma), Björnsson, A. (Asgeir), Wolfers, T. (Thomas), Yanek, L.R. (Lisa), Yang, J. (Jingyun), Zijdenbos, A.P., Zwiers, M.P. (Marcel), Agartz, I. (Ingrid), Almasy, L. (Laura), Ames, D.J. (David), Amouyel, P. (Philippe), Andreassen, O.A. (Ole), Arepalli, S. (Sampath), Assareh, A.A., Barral, S. (Sandra), Bastin, M.E. (Mark), Becker, D.M. (Diane M.), Becker, J.T. (James), Bennett, D.A. (David A.), Blangero, J. (John), Bokhoven, H. (Hans) van, Boomsma, D.I. (Dorret), Brodaty, H. (Henry), Brouwer, R.M. (Rachel), Brunner, H.G., Buckner, M., Buitelaar, J.K. (Jan), Bulayeva, K. (Kazima), Cahn, W. (Wiepke), Calhoun, V.D. (Vince), Cannon, D.M. (Dara), Cavalleri, G. (Gianpiero), Cheng, C.-Y. (Ching-Yu), Cichon, S. (Sven), Cookson, M.R. (Mark), Corvin, A. (Aiden), Crespo-Facorro, B. (Benedicto), Curran, J.E. (Joanne), Czisch, M. (Michael), Dale, A.M. (Anders), Davies, G.E. (Gareth), Craen, A.J. (Anton) de, Geus, E.J.C. (Eco) de, Jager, P.L. (Philip) de, Zubicaray, G.I. (Greig) de, Deary, I.J. (Ian), Debette, S. (Stéphanie), DeCarli, C. (Charles), Delanty, N., Depondt, C. (Chantal), DeStefano, A.L. (Anita), Dillman, A. (Allissa), Djurovic, S. (Srdjan), Donohoe, D.J. (Dennis), Drevets, D.A. (Douglas), Duggirala, R. (Ravi), Dyer, M.D. (Matthew), Enzinger, C. (Christian), Erk, S., Espeseth, T. (Thomas), Fedko, I.O. (Iryna O.), Fernández, G. (Guillén), Ferrucci, L. (Luigi), Fisher, S.E. (Simon), Fleischman, D. (Debra), Ford, I. (Ian), Fornage, M. (Myriam), Foroud, T. (Tatiana), Fox, P.T. (Peter), Francks, C. (Clyde), Fukunaga, M. (Masaki), Gibbs, J.R. (J. Raphael), Glahn, D.C. (David), Gollub, R.L. (Randy), Göring, H.H.H. (Harald H.), Green, R.C. (Robert C.), Gruber, O. (Oliver), Gudnason, V. (Vilmundur), Guelfi, S. (Sebastian), Håberg, A.K. (Asta K.), Hansell, N.K. (Narelle), Hardy, J. (John), Hartman, C.A. (C.), Hashimoto, R. (Ryota), Hegenscheid, K. (Katrin), Heinz, J. (Judith), Le Hellard, S. (Stephanie), Hernandez, D.G. (Dena), Heslenfeld, D.J. (Dirk), Ho, B.-C. (Beng-Choon), Hoekstra, P.J. (Pieter), Hoffmann, W. (Wolfgang), Hofman, A. (Albert), Holsboer, F. (Florian), Homuth, G. (Georg), Hosten, N. (Norbert), Hottenga, J.J. (Jouke Jan), Huentelman, M.J. (Matthew), Pol, H.H., Ikeda, M. (Masashi), Jack, C.R. (Clifford R.), Jenkinson, S. (Sarah), Johnson, R. (Robert), Jönsson, E.G. (Erik G.), Jukema, J.W., Kahn, R. (René), Kanai, R. (Ryota), Kloszewska, I. (Iwona), Knopman, D.S. (David S.), Kochunov, P. (Peter), Kwok, J.B. (John B.), Lawrie, S. (Stephen), Lemaître, H. (Herve), Liu, X. (Xinmin), Longo, D.L. (Dan L.), Lopez, O.L. (Oscar L.), Lovestone, S. (Simon), Martinez, O. (Oliver), Martinot, J.-L. (Jean-Luc), Mattay, V.S. (Venkata S.), McDonald, C. (Colm), McIntosh, A.M. (Andrew), McMahon, F.J. (Francis J.), McMahon, K.L. (Katie L.), Mecocci, P. (Patrizia), Melle, I. (Ingrid), Meyer-Lindenberg, A. (Andreas), Mohnke, S. (Sebastian), Montgomery, G.W. (Grant W.), Morris, D.W. (Derek W), Mosley, T.H. (Thomas H.), Mühleisen, T.W. (Thomas), Müller-Myhsok, B. (B.), Nalls, M.A. (Michael), Nauck, M. (Matthias), Nichols, T.E. (Thomas), Niessen, W.J. (Wiro), Nöthen, M.M. (Markus), Nyberg, L. (Lars), Ohi, K. (Kazutaka), Olvera, R.L. (Rene), Ophoff, R.A. (Roel), Pandolfo, M. (Massimo), Paus, T. (Tomas), Pausova, Z. (Zdenka), Penninx, B.W.J.H. (Brenda), Pike, G.B. (G. Bruce), Potkin, S.G. (Steven), Psaty, B.M. (Bruce), Reppermund, S., Rietschel, M. (Marcella), Roffman, J.L. (Joshua), Seiferth, N. (Nina), Rotter, J.I. (Jerome I.), Ryten, M. (Mina), Sacco, R.L. (Ralph L.), Sachdev, P.S. (Perminder), Saykin, A.J. (Andrew), Schmidt, R. (Reinhold), Schmidt, H. (Helena), Schofield, C.J. (Christopher), Sigursson, S. (Sigurdur), Simmons, A. (Andrew), Singleton, A. (Andrew), Sisodiya, S.M. (Sanjay), Smith, C. (Colin), Smoller, J.W., Soininen, H. (H.), Steen, V.M. (Vidar), Stott, D.J. (David J.), Sussmann, J. (Jessika), Thalamuthu, A. (Anbupalam), Toga, A.W. (Arthur W.), Traynor, B. (Bryan), Troncoso, J.C. (Juan), Tsolaki, M. (Magda), Tzourio, C. (Christophe), Uitterlinden, A.G. (André), Hernández, M.C.V. (Maria C. Valdés), Brug, M.P. (Marcel) van der, Lugt, A. (Aad) van der, Wee, N.J. (Nic) van der, Haren, N.E.M. (Neeltje E.) van, Ent, D. (Dennis) van 't, Tol, M.J.D. (Marie-José) van, Vardarajan, B.N. (Badri), Vellas, B. (Bruno), Veltman, D.J. (Dick), Völzke, H. (Henry), Walter, H.J. (Henrik), Wardlaw, J. (Joanna), Wassink, A.M.J. (Annemarie), Weale, M.E. (Michael), Weinberger, D.R. (Daniel R.), Weiner, M.W. (Michael W.), Wen, W. (Wei), Westman, E. (Eric), White, T.J.H. (Tonya), Wong, T.Y. (Tien Y.), Wright, C.B. (Clinton B.), Zielke, R.H. (Ronald H.), Zonderman, A.B., Martin, N.G. (Nicholas), Duijn, C.M. (Cornelia) van, Wright, M.J. (Margaret), Longstreth Jr, W.T., Schumann, G. (Gunter), Grabe, H.J. (Hans Jörgen), Franke, B. (Barbara), Launer, L.J. (Lenore), Medland, S.E. (Sarah), Seshadri, S. (Sudha), Thompson, P.M. (Paul), Ikram, M.K. (Kamran), Hibar, D.P. (Derrek), Adams, H.H.H. (Hieab), Jahanshad, N. (Neda), Chauhan, G. (Ganesh), Stein, J.L., Hofer, E. (Edith), Rentería, M.E. (Miguel), Bis, J.C. (Joshua), Arias-Vásquez, A. (Alejandro), Ikram, M.K. (M. Kamran), Desrivières, S. (Sylvane), Vernooij, M.W. (Meike), Abramovic, L. (Lucija), Alhusaini, S. (Saud), Amin, N. (Najaf), Andersson, M. (Micael), Arfanakis, K. (Konstantinos), Aribisala, B. (Benjamin), Armstrong, N.J. (Nicola J.), Athanasiu, L. (Lavinia), Axelsson, T. (Tomas), Beecham, A.H. (Ashley), Beiser, A. (Alexa), Bernard, M. (Manon), Blanton, S.H. (Susan H.), Bohlken, M.M. (Marc M.), Boks, M.P.M. (Marco), Bralten, L.B.C. (Linda), Brickman, A.M. (Adam M.), Carmichael, O. (Owen), Chakravarty, M.M. (M. Mallar), Chen, Q. (Qiang), Ching, C.R.K. (Christopher), Chouraki, V. (Vincent), Cuellar-Partida, G. (Gabriel), Crivello, F. (Fabrice), Braber, A. (Anouk) den, Doan, N.T. (Nhat Trung), Ehrlich, S.M. (Stefan), Giddaluru, S. (Sudheer), Goldman, A.L. (Aaron L.), Gottesman, R.F. (Rebecca), Grimm, O. (Oliver), Griswold, M.D. (Michael), Guadalupe, T. (Tulio), Gutman, B.A. (Boris A.), Hass, J. (Johanna), Haukvik, U.K. (Unn), Hoehn, D. (David), Holmes, A.J. (Avram), Hoogman, M. (Martine), Janowitz, D. (Deborah), Jia, T. (Tianye), Jørgensen, K.N. (Kjetil N.), Karbalai, N. (Nazanin), Kasperaviciute, D. (Dalia), Kim, S. (Shinseog), Klein, M. (Marieke), Kraemer, B. (Bernd), Lee, P.H. (Phil), Liewald, D.C.M. (David), Lopez, L.M. (Lorna), Luciano, M. (Michelle), MacAre, C. (Christine), Marquand, A.F. (Andre F.), Matarin, M. (Mar), Mather, R., Mattheisen, M. (Manuel), McKay, D.R. (David R.), Milaneschi, Y. (Yuri), Muñoz Maniega, S. (Susana), Nho, K. (Kwangsik), Nugent, A.C. (Allison), Nyquist, P. (Paul), Loohuis, L.M.O. (Loes M. Olde), Oosterlaan, J. (Jaap), Papmeyer, M. (Martina), Pirpamer, L. (Lukas), Pütz, B. (Benno), Ramasamy, A. (Adaikalavan), Richards, J.S. (Jennifer S.), Risacher, S.L. (Shannon), Roiz-Santiañez, R. (Roberto), Rommelse, N. (Nanda), Ropele, S. (Stefan), Rose, E.J. (Emma), Royle, N.A. (Natalie), Rundek, T. (Tatjana), Sämann, P.G. (Philipp), Saremi, A. (Arvin), Satizabal, C.L. (Claudia), Schmaal, L. (Lianne), Schork, N.J. (Nicholas), Shen, L. (Li), Shin, J. (Jean), Shumskaya, E. (Elena), Smith, A.V. (Albert Vernon), Sprooten, R. (Roy), Strike, L.T. (Lachlan), Teumer, A. (Alexander), Tordesillas-Gutierrez, D. (Diana), Toro, R. (Roberto), Trabzuni, D. (Danyah), Trompet, S. (Stella), Vaidya, D. (Dhananjay), van der Grond, J. (Jeroen), Lee, S.J. (Sven) van der, Van Der Meer, D. (Dennis), Van Donkelaar, M.M.J. (Marjolein M. J.), Eijk, K.R. (Kristel) van, Erp, T.G.M. (Theo G.) van, Van Rooij, D. (Daan), Walton, E. (Esther), Westlye, L.T. (Lars), Whelan, C.D. (Christopher), Windham, B.G. (Gwen), Winkler, A.M. (Anderson), Wittfeld, K. (Katharina), Woldehawariat, G. (Girma), Björnsson, A. (Asgeir), Wolfers, T. (Thomas), Yanek, L.R. (Lisa), Yang, J. (Jingyun), Zijdenbos, A.P., Zwiers, M.P. (Marcel), Agartz, I. (Ingrid), Almasy, L. (Laura), Ames, D.J. (David), Amouyel, P. (Philippe), Andreassen, O.A. (Ole), Arepalli, S. (Sampath), Assareh, A.A., Barral, S. (Sandra), Bastin, M.E. (Mark), Becker, D.M. (Diane M.), Becker, J.T. (James), Bennett, D.A. (David A.), Blangero, J. (John), Bokhoven, H. (Hans) van, Boomsma, D.I. (Dorret), Brodaty, H. (Henry), Brouwer, R.M. (Rachel), Brunner, H.G., Buckner, M., Buitelaar, J.K. (Jan), Bulayeva, K. (Kazima), Cahn, W. (Wiepke), Calhoun, V.D. (Vince), Cannon, D.M. (Dara), Cavalleri, G. (Gianpiero), Cheng, C.-Y. (Ching-Yu), Cichon, S. (Sven), Cookson, M.R. (Mark), Corvin, A. (Aiden), Crespo-Facorro, B. (Benedicto), Curran, J.E. (Joanne), Czisch, M. (Michael), Dale, A.M. (Anders), Davies, G.E. (Gareth), Craen, A.J. (Anton) de, Geus, E.J.C. (Eco) de, Jager, P.L. (Philip) de, Zubicaray, G.I. (Greig) de, Deary, I.J. (Ian), Debette, S. (Stéphanie), DeCarli, C. (Charles), Delanty, N., Depondt, C. (Chantal), DeStefano, A.L. (Anita), Dillman, A. (Allissa), Djurovic, S. (Srdjan), Donohoe, D.J. (Dennis), Drevets, D.A. (Douglas), Duggirala, R. (Ravi), Dyer, M.D. (Matthew), Enzinger, C. (Christian), Erk, S., Espeseth, T. (Thomas), Fedko, I.O. (Iryna O.), Fernández, G. (Guillén), Ferrucci, L. (Luigi), Fisher, S.E. (Simon), Fleischman, D. (Debra), Ford, I. (Ian), Fornage, M. (Myriam), Foroud, T. (Tatiana), Fox, P.T. (Peter), Francks, C. (Clyde), Fukunaga, M. (Masaki), Gibbs, J.R. (J. Raphael), Glahn, D.C. (David), Gollub, R.L. (Randy), Göring, H.H.H. (Harald H.), Green, R.C. (Robert C.), Gruber, O. (Oliver), Gudnason, V. (Vilmundur), Guelfi, S. (Sebastian), Håberg, A.K. (Asta K.), Hansell, N.K. (Narelle), Hardy, J. (John), Hartman, C.A. (C.), Hashimoto, R. (Ryota), Hegenscheid, K. (Katrin), Heinz, J. (Judith), Le Hellard, S. (Stephanie), Hernandez, D.G. (Dena), Heslenfeld, D.J. (Dirk), Ho, B.-C. (Beng-Choon), Hoekstra, P.J. (Pieter), Hoffmann, W. (Wolfgang), Hofman, A. (Albert), Holsboer, F. (Florian), Homuth, G. (Georg), Hosten, N. (Norbert), Hottenga, J.J. (Jouke Jan), Huentelman, M.J. (Matthew), Pol, H.H., Ikeda, M. (Masashi), Jack, C.R. (Clifford R.), Jenkinson, S. (Sarah), Johnson, R. (Robert), Jönsson, E.G. (Erik G.), Jukema, J.W., Kahn, R. (René), Kanai, R. (Ryota), Kloszewska, I. (Iwona), Knopman, D.S. (David S.), Kochunov, P. (Peter), Kwok, J.B. (John B.), Lawrie, S. (Stephen), Lemaître, H. (Herve), Liu, X. (Xinmin), Longo, D.L. (Dan L.), Lopez, O.L. (Oscar L.), Lovestone, S. (Simon), Martinez, O. (Oliver), Martinot, J.-L. (Jean-Luc), Mattay, V.S. (Venkata S.), McDonald, C. (Colm), McIntosh, A.M. (Andrew), McMahon, F.J. (Francis J.), McMahon, K.L. (Katie L.), Mecocci, P. (Patrizia), Melle, I. (Ingrid), Meyer-Lindenberg, A. (Andreas), Mohnke, S. (Sebastian), Montgomery, G.W. (Grant W.), Morris, D.W. (Derek W), Mosley, T.H. (Thomas H.), Mühleisen, T.W. (Thomas), Müller-Myhsok, B. (B.), Nalls, M.A. (Michael), Nauck, M. (Matthias), Nichols, T.E. (Thomas), Niessen, W.J. (Wiro), Nöthen, M.M. (Markus), Nyberg, L. (Lars), Ohi, K. (Kazutaka), Olvera, R.L. (Rene), Ophoff, R.A. (Roel), Pandolfo, M. (Massimo), Paus, T. (Tomas), Pausova, Z. (Zdenka), Penninx, B.W.J.H. (Brenda), Pike, G.B. (G. Bruce), Potkin, S.G. (Steven), Psaty, B.M. (Bruce), Reppermund, S., Rietschel, M. (Marcella), Roffman, J.L. (Joshua), Seiferth, N. (Nina), Rotter, J.I. (Jerome I.), Ryten, M. (Mina), Sacco, R.L. (Ralph L.), Sachdev, P.S. (Perminder), Saykin, A.J. (Andrew), Schmidt, R. (Reinhold), Schmidt, H. (Helena), Schofield, C.J. (Christopher), Sigursson, S. (Sigurdur), Simmons, A. (Andrew), Singleton, A. (Andrew), Sisodiya, S.M. (Sanjay), Smith, C. (Colin), Smoller, J.W., Soininen, H. (H.), Steen, V.M. (Vidar), Stott, D.J. (David J.), Sussmann, J. (Jessika), Thalamuthu, A. (Anbupalam), Toga, A.W. (Arthur W.), Traynor, B. (Bryan), Troncoso, J.C. (Juan), Tsolaki, M. (Magda), Tzourio, C. (Christophe), Uitterlinden, A.G. (André), Hernández, M.C.V. (Maria C. Valdés), Brug, M.P. (Marcel) van der, Lugt, A. (Aad) van der, Wee, N.J. (Nic) van der, Haren, N.E.M. (Neeltje E.) van, Ent, D. (Dennis) van 't, Tol, M.J.D. (Marie-José) van, Vardarajan, B.N. (Badri), Vellas, B. (Bruno), Veltman, D.J. (Dick), Völzke, H. (Henry), Walter, H.J. (Henrik), Wardlaw, J. (Joanna), Wassink, A.M.J. (Annemarie), Weale, M.E. (Michael), Weinberger, D.R. (Daniel R.), Weiner, M.W. (Michael W.), Wen, W. (Wei), Westman, E. (Eric), White, T.J.H. (Tonya), Wong, T.Y. (Tien Y.), Wright, C.B. (Clinton B.), Zielke, R.H. (Ronald H.), Zonderman, A.B., Martin, N.G. (Nicholas), Duijn, C.M. (Cornelia) van, Wright, M.J. (Margaret), Longstreth Jr, W.T., Schumann, G. (Gunter), Grabe, H.J. (Hans Jörgen), Franke, B. (Barbara), Launer, L.J. (Lenore), Medland, S.E. (Sarah), Seshadri, S. (Sudha), Thompson, P.M. (Paul), and Ikram, M.K. (Kamran)
- Abstract
The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.
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- 2017
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41. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions
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Angelantonio, E. di, Kaptoge, S., Pennells, L., Bacquer, D. de, Cooney, M.T., Kavousi, M., Stevens, G., Riley, L., Savin, S., Altay, S., Amouyel, P., Assmann, G., Bell, S., Ben-Shlomo, Y., Berkman, L., Beulens, J.W., Bjorkelund, C., Blaha, M.J., Blazer, D.G., Bolton, T., Bonita, R., Brenner, B.H., Brunner, E.J., Casiglia, E., Chamnan, P., Choi, Y.H., Chowdhury, R., Coady, S., Crespo, C.J., Cushman, M., Dagenais, G.R., D'Agostino, R.B., Daimon, M., Davidson, K.W., Engstrom, G., Fang, X.H., Ford, I., Gallacher, J., Gansevoort, R.T., Gaziano, T.A., Giampaoli, S., Grandits, G., Grimsgaard, S., Grobbee, D.E., Gudnason, V., Guo, Q., Humphries, S., Iso, H., Jukema, J.W., Kauhanen, J., Kengne, A.P., Khalili, D., Khan, T., Knuiman, M., Koenig, W., Kromhout, D., Krumholz, H.M., Lam, T.H., Laughlin, G., Ibanez, A.M., Moons, K.G.M., Nietert, P.J., Ninomiya, T., Nordestgaard, B.G., O'Donnell, C., Palmieri, L., Patel, A., Perel, P., Price, J.F., Costa, R.B.D.E., Ridker, P.M., Rodriguez, B., Rosengren, A., Roussel, R., Sakurai, M., Salomaa, V., Sato, S., Schottker, B., Shara, N., Shaw, J.E., Shin, H.C., Simons, L.A., Sofianopoulou, E., Sundstrom, J., Tolonen, H., Ueshima, H., Volzke, H., Wallace, R.B., Wareham, N.J., Willeit, P., Wood, D., Wood, A., Zhao, D., Onuma, O., Woodward, M., Danaei, G., Roth, G., Mendis, S., Graham, I., Varghese, C., Ezzati, M., Jackson, R., Danesh, J., Nambi, V., Matsushita, K., Couper, D., Diabetes, A., Zimmet, P.Z., Barr, E.L.M., Atkins, R., Whincup, P.H., Study, B., Kiechl, S., Willeit, J., Rungger, G., Sofat, R., Dale, C., Casas, J.P., Tikhonoff, V., Hunt, K.J., Sutherland, S.E., Psaty, B.M., Tracy, R., Frikke-Schmidt, R., Jensen, G.B., Schnohr, P., Donfrancesco, C., Vanuzzo, D., Panico, S., Balkau, B., Bonnet, F., Fumeron, F., Simons, J., McLachlan, S., Guralnik, J., Khaw, K.T., Brenner, H., Zhang, Y., Holleczek, B., Cohort, F., Vartiainen, E., Jousilahti, P., Harald, K., Massaro, J.J., Pencina, M., Ramachandran, V., Susa, S., Oizumi, T., Kayama, T., Wilhelmsen, L., Lissner, L., Hange, D., Mehlig, K., Hata, J., Yoshida, D., Hirakawa, Y., Rutters, F., Elders, P.J.M., Kyowa, I., Kiyama, M., Yamagishi, K., Tuomainen, T.P., Virtanen, J., Salonen, J.T., Meade, T.W., Nilsson, P.M., Melander, O., Boer, I.H. de, DeFilippis, A.P., Kuller, L.H., Juan, S.I., Gillum, R.F., Kirkland, S., Shimbo, D., Schwartz, J.E., Imano, H., Harst, P. van der, Hillige, J.L., Bakker, S.J., Dallongeville, J., Ferrieres, J., Moitry, M., Stott, D.J., Despres, J.P., Laughlin, G.A., Daniels, L.B., McEvoy, L.K., Aspelund, T., Thorsson, B., Gudmundsson, E.F., Aribas, E., Rueda-Ochoa, O.L., Ikram, M.K., Heshmatollah, A., Ikram, M.A., Dorr, M., Nauck, M., Howard, B., Can, G., Ishizaki, M., Wilsgaard, T., Mathiesen, E., Giedraitis, V., Ingelsson, M., Cook, N., Buring, J., Schouw, Y.T. van der, Claessen, H., Rothenbacher, D., Arndt, V., Study, W.I., Shipley, M., Packard, C., Robertson, M., Young, R., Feskens, E., Geleijnse, J.M., Fang, X., Gu, D.F., Huxley, R., Imai, Y., Kim, H.C., Pan, W.H., Rodgers, A., Suh, I., Town, A., Okayama, A., Maegawa, H., Nakamura, M., Aoki, N., Wu, Z.S., Yao, C.H., Luszcz, M., Tang, Z., Liu, L.S., Xie, J.X., Norton, R., Ameratunga, S., MacMahon, S., Whitlock, G., Knuiman, M.W., Christensen, H., Wu, X.G., Zhou, J., Yu, X.H., Tamakoshi, W.A., Wu, Z.L., Chen, L.Q., Shan, G.L., Sritara, P., Duan, X.F., Li, Y.H., Jiang, C.Q., Woo, J., Ho, S.C., Hong, Z., Huang, M.S., Zhou, B., Fuh, J.L., Kita, Y., Choudhury, S.R., Jee, S.H., Kim, Woodward, M, Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Epidemiology, Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, and APH - Health Behaviors & Chronic Diseases
- Subjects
Male ,10-YEAR RISK ,BLOOD-PRESSURE ,0302 clinical medicine ,Risk Factors ,Medicine and Health Sciences ,Medicine ,Uganda ,Cardiac and Cardiovascular Systems ,Prospective Studies ,030212 general & internal medicine ,Aged, 80 and over ,Medicine(all) ,Kardiologi ,lcsh:Public aspects of medicine ,PRIMARY-CARE ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Middle Aged ,3. Good health ,Pooled analysis ,Cardiovascular Diseases ,Egypt ,Female ,Adult ,PROSPECTIVE COHORTS ,030231 tropical medicine ,195 COUNTRIES ,Primary care ,World Health Organization ,Risk Assessment ,Article ,World health ,POOLED ANALYSIS ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Primary prevention ,Environmental health ,SYSTEMATIC ANALYSIS ,Humans ,Aged ,CHINESE POPULATION ,Chinese population ,business.industry ,Individual participant data ,lcsh:RA1-1270 ,R1 ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Disease risk ,business ,INDIVIDUAL PARTICIPANT DATA ,PRIMARY PREVENTION - Abstract
Background: To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. Methods: In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40–80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. Findings: Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629–0·741) to 0·833 (0·783–0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40–64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt. Interpretation: We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide. Funding: World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research. The WHO CVD Risk Chart Working Group, for complete list of authors see http://dx.doi.org/10.1016/S2214-109X(19)30318-3
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- 2019
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42. Hemoglobin and anemia in relation to dementia risk and accompanying changes on brain MRI
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Wolters, F.J., Zonneveld, H.I., Licher, S., Cremers, L.G.M., Ikram, M.K., Koudstaal, P.J., Vernooij, M.W., Ikram, M.A., Buchem, M.A. van, Biessels, G.J., Rocca, H.P.B. la, Craen, A.J. de, Flier, W.M. van der, Kappelle, L.J., Mooijaart, S.P., Niessen, W., Oostenbrugge, R. van, Roos, A. de, Rossum, A.C. van, Daemen, M.J., Heart Brain Connection, Epidemiology, Neurology, Radiology & Nuclear Medicine, Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H02 Cardiomyopathy, RS: CARIM - R2.02 - Cardiomyopathy, MUMC+: MA Neurologie (3), Klinische Neurowetenschappen, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: Carim - B05 Cerebral small vessel disease, and RS: CARIM - R3.03 - Cerebral small vessel disease
- Subjects
Male ,Serum ,Comorbidity ,Rotterdam Study ,Hemoglobins ,Risk Factors ,Neural Pathways ,HYPERVISCOSITY ,GENERAL-POPULATION ,education.field_of_study ,Hazard ratio ,Brain ,Anemia ,ASSOCIATION ,Middle Aged ,Magnetic Resonance Imaging ,White Matter ,PREVALENCE ,COMMUNITY ,CARDIOVASCULAR-DISEASE ,Female ,Alzheimer's disease ,HEMATOCRIT ,Brain Infarction ,medicine.medical_specialty ,Population ,Neuroimaging ,Article ,Alzheimer Disease ,Internal medicine ,medicine ,Dementia ,Humans ,Cerebral perfusion pressure ,education ,OLDER ,business.industry ,medicine.disease ,ROTTERDAM ,CEREBRAL-BLOOD-FLOW ,Neurology (clinical) ,Hemoglobin ,business - Abstract
ObjectiveTo determine the long-term association of hemoglobin levels and anemia with risk of dementia, and explore underlying substrates on brain MRI in the general population.MethodsSerum hemoglobin was measured in 12,305 participants without dementia of the population-based Rotterdam Study (mean age 64.6 years, 57.7% women). We determined risk of dementia and Alzheimer disease (AD) (until 2016) in relation to hemoglobin and anemia. Among 5,267 participants without dementia with brain MRI, we assessed hemoglobin in relation to vascular brain disease, structural connectivity, and global cerebral perfusion.ResultsDuring a mean follow-up of 12.1 years, 1,520 individuals developed dementia, 1,194 of whom had AD. We observed a U-shaped association between hemoglobin levels and dementia (p = 0.005), such that both low and high hemoglobin levels were associated with increased dementia risk (hazard ratio [95% confidence interval (CI)], lowest vs middle quintile 1.29 [1.09–1.52]; highest vs middle quintile 1.20 [1.00–1.44]). Overall prevalence of anemia was 6.1%, and anemia was associated with a 34% increased risk of dementia (95% CI 11%–62%) and 41% (15%–74%) for AD. Among individuals without dementia with brain MRI, similar U-shaped associations were seen of hemoglobin with white matter hyperintensity volume (p = 0.03), and structural connectivity (for mean diffusivity, p < 0.0001), but not with presence of cortical and lacunar infarcts. Cerebral microbleeds were more common with anemia. Hemoglobin levels inversely correlated to cerebral perfusion (p < 0.0001).ConclusionLow and high levels of hemoglobin are associated with an increased risk of dementia, including AD, which may relate to differences in white matter integrity and cerebral perfusion.
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- 2019
43. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (vol 9, 2098, 2018)
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Davies, G., Lam, M., Harris, S.E., Trampush, J.W., Luciano, M., Hill, W.D., Hagenaars, S.P., Ritchie, S.J., Marioni, R.E., Fawns-Ritchie, C., Liewald, D.C.M., Okely, J.A., Ahola-Olli, A.V., Barnes, C.L.K., Bertram, L., Bis, J.C., Burdick, K.E., Christoforou, A., DeRosse, P., Djurovic, S., Espeseth, T., Giakoumaki, S., Giddaluru, S., Gustavson, D.E., Hayward, C., Hofer, E., Ikram, M.A., Karlsson, R., Knowles, E., Lahti, J., Leber, M., Li, S., Mather, K.A., Melle, I., Morris, D., Oldmeadow, C., Palviainen, T., Payton, A., Pazoki, R., Petrovic, K., Reynolds, C.A., Sargurupremraj, M., Scholz, M., Smith, J.A., Smith, A.V., Terzikhan, N., Thalamuthu, A., Trompet, S., Lee, S.J. van der, Ware, E.B., Windham, B.G., Wright, M.J., Yang, J.Y., Yu, J., Ames, D., Amin, N., Amouyel, P., Andreassen, O.A., Armstrong, N.J., Assareh, A.A., Attia, J.R., Attix, D., Avramopoulos, D., Bennett, D.A., Bohmer, A.C., Boyle, P.A., Brodaty, H., Campbell, H., Cannon, T.D., Cirulli, E.T., Congdon, E., Conley, E.D., Corley, J., Cox, S.R., Dale, A.M., Dehghan, A., Dick, D., Dickinson, D., Eriksson, J.G., Evangelou, E., Faul, J.D., Ford, I., Freimer, N.A., Gao, H., Giegling, I., Gillespie, N.A., Gordon, S.D., Gottesman, R.F., Griswold, M.E., Gudnason, V., Harris, T.B., Hartmann, A.M., Hatzimanolis, A., Heiss, G., Holliday, E.G., Joshi, P.K., Kahonen, M., Kardia, S.L.R., Karlsson, I., Kleineidam, L., Knopman, D.S., Kochan, N.A., Konte, B., Kwok, J.B., Hellard, S. le, Lee, T., Lehtimaki, T., Li, S.C., Lill, C.M., Liu, T., Koini, M., London, E., Longstreth, W.T., Lopez, O.L., Loukola, A., Luck, T., Lundervold, A.J., Lundquist, A., Lyytikainen, L.P., Martin, N.G., Montgomery, G.W., Murray, A.D., Need, A.C., Noordam, R., Nyberg, L., Ollier, W., Papenberg, G., Pattie, A., Polasek, O., Poldrack, R.A., Psaty, B.M., Reppermund, S., Riedel-Heller, S.G., Rose, R.J., Rotter, J.I., Roussos, P., Rovio, S.P., Saba, Y., Sabb, F.W., Sachdev, P.S., Satizabal, C.L., Schmid, M., Scott, R.J., Scult, M.A., Simino, J., Slagboom, P.E., Smyrnis, N., Soumare, A., Stefanis, N.C., Stott, D.J., Straub, R.E., Sundet, K., Taylor, A.M., Taylor, K.D., Tzoulaki, I., Tzourio, C., Uitterlinden, A., Vitart, V., Voineskos, A.N., Kaprio, J., Wagner, M., Wagner, H., Weinhold, L., Wen, K.H., Widen, E., Yang, Q., Zhao, W., Adams, H.H.H., Arking, D.E., Bilder, R.M., Bitsios, P., Boerwinkle, E., Chiba-Falek, O., Corvin, A., Jager, P.L. de, Debette, S., Donohoe, G., Elliott, P., Fitzpatrick, A.L., Gill, M., Glahn, D.C., Hagg, S., Hansell, N.K., Hariri, A.R., Ikram, M.K., Jukema, J.W., Vuoksimaa, E., Keller, M.C., Kremen, W.S., Launer, L., Lindenberger, U., Palotie, A., Pedersen, N.L., Pendleton, N., Porteous, D.J., Raikkonen, K., Raitakari, O.T., Ramirez, A., Reinvang, I., Rudan, I., Rujescu, D., Schmidt, R., Schmidt, H., Schofield, P.W., Schofield, P.R., Starr, J.M., Steen, V.M., Trollor, J.N., Turner, S.T., Duijn, C.M. van, Villringer, A., Weinberger, D.R., Weir, D.R., Wilson, J.F., Malhotra, A., McIntosh, A.M., Gale, C.R., Seshadri, S., Mosley, T.H., Bressler, J., Lencz, T., and Deary, I.J.
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- 2019
44. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting
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Chauhan, G., Adams, H.H.H., Satizabal, C.L., Bis, J.C., Teumer, A., Sargurupremraj, M., Hofer, E., Trompet, S., Hilal, S., Smith, A.V., Jian, X.Q., Malik, R., Traylor, M., Pulit, S.L., Amouyel, P., Mazoyer, B., Zhu, Y.C., Kaffashian, S., Schilling, S., Beecham, G.W., Montine, T.J., Schellenberg, G.D., Kjartansson, O., Gudnason, V., Knopman, D.S., Griswold, M.E., Windham, B.G., Gottesman, R.F., Mosley, T.H., Schmidt, R., Saba, Y., Schmidt, H., Takeuchi, F., Yamaguchi, S., Nabika, T., Kato, N., Rajan, K.B., Aggarwal, N.T., Jager, P.L. de, Evans, D.A., Psaty, B.M., Rotter, J.I., Rice, K., Lopez, O.L., Liao, J.M., Chen, C., Cheng, C.Y., Wong, T.Y., Ikram, M.K., Lee, S.J. van der, Amin, N., Chouraki, V., DeStefano, A.L., Aparicio, H.J., Romero, J.R., Maillard, P., DeCarli, C., Wardlaw, J.M., Hernandez, M.D.V., Luciano, M., Liewald, D., Deary, I.J., Starr, J.M., Bastin, M.E., Maniega, S.M., Slagboom, P.E., Beekman, M., Deelen, J., Uh, H.W., Lemmens, R., Brodaty, H., Wright, M.J., Ames, D., Boncoraglio, G.B., Hopewell, J.C., Beecham, A.H., Blanton, S.H., Wright, C.B., Sacco, R.L., Wen, W., Thalamuthu, A., Armstrong, N.J., Chong, E., Schofield, P.R., Kwok, J.B., Grond, J. van der, Stott, D.J., Ford, I., Jukema, J.W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Lugt, A. van der, Wittfeld, K., Grabe, H.J., Hosten, N., Sarnowski, B. von, Volker, U., Levi, C., Jimenez-Conde, J., Sharma, P., Sudlow, C.L.M., Rosand, J., Woo, D., Cole, J.W., Meschia, J.F., Slowik, A., Thijs, V., Lindgren, A., Melander, O., Grewal, R.P., Rundek, T., Rexrode, K., Rothwell, P.M., Arnett, D.K., Jern, C., Johnson, J.A., Benavente, O.R., Wasssertheil-Smoller, S., Lee, J.M., Wong, Q., Mitchell, B.D., Rich, S.S., McArdle, P.F., Geerlings, M.I., Graaf, Y. van der, Bakker, P.I.W. de, Asselbergs, F.W., Srikanth, V., Thomson, R., McWhirter, R., Moran, C., Callisaya, M., Phan, T., Rutten-Jacobs, L.C.A., Bevan, S., Tzourio, C., Mather, K.A., Sachdev, P.S., Duijn, C.M. van, Worrall, B.B., Dichgans, M., Kittner, S.J., Markus, H.S., Ikram, M.A., Fornage, M., Launer, L.J., Seshadri, S., Longstreth, W.T., Debette, S., Stroke Genetics Network SiGN, ISGC, METASTROKE, ADGC, and CHARGE Consortium
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Meta-analysis ,Mendelian Randomization ,Blood Pressure ,Polymorphisms ,Genome-wide Association ,Silent ,Insights ,Small Vessel Disease ,Matter Hyperintensity Volume ,Ischemic Stroke ,Doenças Cardio e Cérebro-vasculares - Abstract
Collaborators (845): Astrid M. Vicente Free PMC article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369905/ Objective: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods: We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results: The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion: In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI. info:eu-repo/semantics/publishedVersion
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- 2019
45. Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function (Nature Communications, (2018), 9, 1, (2098), 10.1038/s41467-018-04362-x)
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Davies, G. Lam, M. Harris, S.E. Trampush, J.W. Luciano, M. Hill, W.D. Hagenaars, S.P. Ritchie, S.J. Marioni, R.E. Fawns-Ritchie, C. Liewald, D.C.M. Okely, J.A. Ahola-Olli, A.V. Barnes, C.L.K. Bertram, L. Bis, J.C. Burdick, K.E. Christoforou, A. DeRosse, P. Djurovic, S. Espeseth, T. Giakoumaki, S. Giddaluru, S. Gustavson, D.E. Hayward, C. Hofer, E. Ikram, M.A. Karlsson, R. Knowles, E. Lahti, J. Leber, M. Li, S. Mather, K.A. Melle, I. Morris, D. Oldmeadow, C. Palviainen, T. Payton, A. Pazoki, R. Petrovic, K. Reynolds, C.A. Sargurupremraj, M. Scholz, M. Smith, J.A. Smith, A.V. Terzikhan, N. Thalamuthu, A. Trompet, S. van der Lee, S.J. Ware, E.B. Windham, B.G. Wright, M.J. Yang, J. Yu, J. Ames, D. Amin, N. Amouyel, P. Andreassen, O.A. Armstrong, N.J. Assareh, A.A. Attia, J.R. Attix, D. Avramopoulos, D. Bennett, D.A. Böhmer, A.C. Boyle, P.A. Brodaty, H. Campbell, H. Cannon, T.D. Cirulli, E.T. Congdon, E. Conley, E.D. Corley, J. Cox, S.R. Dale, A.M. Dehghan, A. Dick, D. Dickinson, D. Eriksson, J.G. Evangelou, E. Faul, J.D. Ford, I. Freimer, N.A. Gao, H. Giegling, I. Gillespie, N.A. Gordon, S.D. Gottesman, R.F. Griswold, M.E. Gudnason, V. Harris, T.B. Hartmann, A.M. Hatzimanolis, A. Heiss, G. Holliday, E.G. Joshi, P.K. Kähönen, M. Kardia, S.L.R. Karlsson, I. Kleineidam, L. Knopman, D.S. Kochan, N.A. Konte, B. Kwok, J.B. Le Hellard, S. Lee, T. Lehtimäki, T. Li, S.-C. Lill, C.M. Liu, T. Koini, M. London, E. Longstreth, W.T., Jr. Lopez, O.L. Loukola, A. Luck, T. Lundervold, A.J. Lundquist, A. Lyytikäinen, L.-P. Martin, N.G. Montgomery, G.W. Murray, A.D. Need, A.C. Noordam, R. Nyberg, L. Ollier, W. Papenberg, G. Pattie, A. Polasek, O. Poldrack, R.A. Psaty, B.M. Reppermund, S. Riedel-Heller, S.G. Rose, R.J. Rotter, J.I. Roussos, P. Rovio, S.P. Saba, Y. Sabb, F.W. Sachdev, P.S. Satizabal, C.L. Schmid, M. Scott, R.J. Scult, M.A. Simino, J. Slagboom, P.E. Smyrnis, N. Soumaré, A. Stefanis, N.C. Stott, D.J. Straub, R.E. Sundet, K. Taylor, A.M. Taylor, K.D. Tzoulaki, I. Tzourio, C. Uitterlinden, A. Vitart, V. Voineskos, A.N. Kaprio, J. Wagner, M. Wagner, H. Weinhold, L. Wen, K.H. Widen, E. Yang, Q. Zhao, W. Adams, H.H.H. Arking, D.E. Bilder, R.M. Bitsios, P. Boerwinkle, E. Chiba-Falek, O. Corvin, A. De Jager, P.L. Debette, S. Donohoe, G. Elliott, P. Fitzpatrick, A.L. Gill, M. Glahn, D.C. Hägg, S. Hansell, N.K. Hariri, A.R. Ikram, M.K. Jukema, J.W. Vuoksimaa, E. Keller, M.C. Kremen, W.S. Launer, L. Lindenberger, U. Palotie, A. Pedersen, N.L. Pendleton, N. Porteous, D.J. Räikkönen, K. Raitakari, O.T. Ramirez, A. Reinvang, I. Rudan, I. Dan Rujescu Schmidt, R. Schmidt, H. Schofield, P.W. Schofield, P.R. Starr, J.M. Steen, V.M. Trollor, J.N. Turner, S.T. Van Duijn, C.M. Villringer, A. Weinberger, D.R. Weir, D.R. Wilson, J.F. Malhotra, A. McIntosh, A.M. Gale, C.R. Seshadri, S. Mosley, T.H., Jr. Bressler, J. Lencz, T. Deary, I.J.
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ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) - Abstract
Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article. © 2019, The Author(s).
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- 2019
46. Quantitative Motor Functioning in Prodromal Parkinson Disease
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Dommershuijsen, L.J., Ikram, M.K., Darweesh, S.K.L., Dommershuijsen, L.J., Ikram, M.K., and Darweesh, S.K.L.
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Item does not contain fulltext
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- 2019
47. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.
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Aparicio H.J., Del C. Valdes Hernandez M., Luciano M., Liewald D., Deary I.J., Starr J.M., Bastin M.E., Maniega S.M., Slagboom P.E., Beekman M., Deelen J., Uh H.-W., Lemmens R., Brodaty H., Wright M.J., Ames D., Boncoraglio G.B., Hopewell J.C., Beecham A.H., Blanton S.H., Wright C.B., Sacco R.L., Wen W., Thalamuthu A., Armstrong N.J., Chong E., Schofield P.R., Kwok J.B., van der Grond J., Stott D.J., Ford I., Jukema J.W., Vernooij M.W., Hofman A., Uitterlinden A.G., van der Lugt A., Wittfeld K., Grabe H.J., Hosten N., von Sarnowski B., Volker U., Levi C., Jimenez-Conde J., Sharma P., Sudlow C.L.M., Rosand J., Woo D., Cole J.W., Meschia J.F., Slowik A., Thijs V., Lindgren A., Melander O., Grewal R.P., Rundek T., Rexrode K., Rothwell P.M., Arnett D.K., Jern C., Johnson J.A., Benavente O.R., Wasssertheil-Smoller S., Lee J.-M., Wong Q., Mitchell B.D., Rich S.S., McArdle P.F., Geerlings M.I., van der Graaf Y., de Bakker P.I.W., Asselbergs F.W., Srikanth V., Thomson R., McWhirter R., Moran C., Callisaya M., Phan T., Rutten-Jacobs L.C.A., Bevan S., Tzourio C., Mather K.A., Sachdev P.S., van Duijn C.M., Worrall B.B., Dichgans M., Kittner S.J., Markus H.S., Ikram M.A., Fornage M., Launer L.J., Seshadri S., Longstreth W.T., Debette S., Chauhan G., Adams H.H.H., Satizabal C.L., Bis J.C., Teumer A., Sargurupremraj M., Hofer E., Trompet S., Hilal S., Smith A.V., Jian X., Malik R., Traylor M., Pulit S.L., Amouyel P., Mazoyer B., Zhu Y.-C., Kaffashian S., Schilling S., Beecham G.W., Montine T.J., Schellenberg G.D., Kjartansson O., Gudnason V., Knopman D.S., Griswold M.E., Windham B.G., Gottesman R.F., Mosley T.H., Schmidt R., Saba Y., Schmidt H., Takeuchi F., Yamaguchi S., Nabika T., Kato N., Rajan K.B., Aggarwal N.T., De Jager P.L., Evans D.A., Psaty B.M., Rotter J.I., Rice K., Lopez O.L., Liao J., Chen C., Cheng C.-Y., Wong T.Y., Ikram M.K., van der Lee S.J., Amin N., Chouraki V., Destefano A.L., Romero J.R., Maillard P., Decarli C., Wardlaw J.M., Aparicio H.J., Del C. Valdes Hernandez M., Luciano M., Liewald D., Deary I.J., Starr J.M., Bastin M.E., Maniega S.M., Slagboom P.E., Beekman M., Deelen J., Uh H.-W., Lemmens R., Brodaty H., Wright M.J., Ames D., Boncoraglio G.B., Hopewell J.C., Beecham A.H., Blanton S.H., Wright C.B., Sacco R.L., Wen W., Thalamuthu A., Armstrong N.J., Chong E., Schofield P.R., Kwok J.B., van der Grond J., Stott D.J., Ford I., Jukema J.W., Vernooij M.W., Hofman A., Uitterlinden A.G., van der Lugt A., Wittfeld K., Grabe H.J., Hosten N., von Sarnowski B., Volker U., Levi C., Jimenez-Conde J., Sharma P., Sudlow C.L.M., Rosand J., Woo D., Cole J.W., Meschia J.F., Slowik A., Thijs V., Lindgren A., Melander O., Grewal R.P., Rundek T., Rexrode K., Rothwell P.M., Arnett D.K., Jern C., Johnson J.A., Benavente O.R., Wasssertheil-Smoller S., Lee J.-M., Wong Q., Mitchell B.D., Rich S.S., McArdle P.F., Geerlings M.I., van der Graaf Y., de Bakker P.I.W., Asselbergs F.W., Srikanth V., Thomson R., McWhirter R., Moran C., Callisaya M., Phan T., Rutten-Jacobs L.C.A., Bevan S., Tzourio C., Mather K.A., Sachdev P.S., van Duijn C.M., Worrall B.B., Dichgans M., Kittner S.J., Markus H.S., Ikram M.A., Fornage M., Launer L.J., Seshadri S., Longstreth W.T., Debette S., Chauhan G., Adams H.H.H., Satizabal C.L., Bis J.C., Teumer A., Sargurupremraj M., Hofer E., Trompet S., Hilal S., Smith A.V., Jian X., Malik R., Traylor M., Pulit S.L., Amouyel P., Mazoyer B., Zhu Y.-C., Kaffashian S., Schilling S., Beecham G.W., Montine T.J., Schellenberg G.D., Kjartansson O., Gudnason V., Knopman D.S., Griswold M.E., Windham B.G., Gottesman R.F., Mosley T.H., Schmidt R., Saba Y., Schmidt H., Takeuchi F., Yamaguchi S., Nabika T., Kato N., Rajan K.B., Aggarwal N.T., De Jager P.L., Evans D.A., Psaty B.M., Rotter J.I., Rice K., Lopez O.L., Liao J., Chen C., Cheng C.-Y., Wong T.Y., Ikram M.K., van der Lee S.J., Amin N., Chouraki V., Destefano A.L., Romero J.R., Maillard P., Decarli C., and Wardlaw J.M.
- Abstract
Objective To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n=20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 x 10-8; and LINC00539/ZDHHC20, p = 5.82 x 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p[BI] = 9.38 x 10-25; p [SSBI] = 5.23 x 10-14 for hypertension), smoking (p[BI]= 4.4 x 10-10; p [SSBI] = 1.2 x 10 -4), diabetes (p[BI] = 1.7 x 10 -8; p [SSBI] = 2.8 x 10 -3), previous cardiovascular disease (p [BI] = 1.0 x 10-18; p [SSBI] = 2.3 x 10-7), stroke (p [BI] = 3.9 x 10-69; p [SSBI] = 3.2 x 10 -24), and MRI-defined white matter hyperintensity burden (p [BI]=1.43 x 10-157; p [SSBI] = 3.16 x 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p <= 0.0022), without indication of directional pleiotropy. Conclusion In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significa
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- 2019
48. Additive effect of cerebral atrophy on cognition in dementia-free elderly with cerebrovascular disease
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Xu, X. (Xin), Phua, A.K.S. (April Ka Sin), Collinson, S.L. (Simon L.), Hilal, S. (Saima), Ikram, M.K. (Kamran), Wong, T.Y. (Tien Yin), Cheng, C.Y. (Ching Yu), Venketasubramanian, N. (Narayanaswamy), Chen, C. (Christopher), Xu, X. (Xin), Phua, A.K.S. (April Ka Sin), Collinson, S.L. (Simon L.), Hilal, S. (Saima), Ikram, M.K. (Kamran), Wong, T.Y. (Tien Yin), Cheng, C.Y. (Ching Yu), Venketasubramanian, N. (Narayanaswamy), and Chen, C. (Christopher)
- Abstract
Objective: To explore the additive effect of neurodegenerative diseases, measured by atrophy, on neurocognitive function in Asian dementia-free elderly with cerebrovascular disease (CeVD). Methods: The present study employed a cross-sectional design and was conducted between 2010 and 2015 among community-dwelling elderly participants recruited into the study. Eligible participants were evaluated with an extensive neuropsychological battery and neuroimaging. The weighted CeVD burden scale comprising markers of both small- and large-vessel diseases was applied, with a score of ≥2, indicating significant CeVD burden. Cortical atrophy (CA) and medial temporal atrophy (MTA) were graded using the global cortical atrophy scale and Schelten's scale, respectively. Global and domain-specific (attention, executive function, language, visuomotor speed, visuoconstruction, visual memory, and verbal memory) neurocognitive performance was measured using a locally validated neuropsychological battery (Vascular Dementia Battery, VDB). Results: A total of 819 dementia-free participants were included in the analysis. Among none-mild CeVD subjects, there was no significant difference in the global cognitive performance across atrophy groups (no atrophy, CA, and CA+MTA). However, in moderate-severe CeVD subjects, CA+MTA showed significantly worse global cognitive performance compared with those with CA alone (mean difference=-0.35, 95% CI -0.60 to -0.11, p=0.002) and those without atrophy (mean difference=-0.46, 95% CI -0.74 to -0.19, p<0.001, p<0.001). In domain-specific cognitive performance, subjects with CA+MTA performed worse than other groups in visual memory (p=0.005), executive function (p=0.001) and visuomotor speed (p<0.001) in moderate-severe CeVD but not in none-mild CeVD. Conclusions and relevance: Atrophy and moderate-severe CeVD burden showed an additive effect on global and domain-specific cognitive performance. This study highlights the importance of investigating the me
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49. Enlarged Perivascular Spaces and Dementia: A Systematic Review
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Smeijer, D., Ikram, M.K. (Kamran), Hilal, S. (Saima), Smeijer, D., Ikram, M.K. (Kamran), and Hilal, S. (Saima)
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Perivascular compartments surrounding the penetrating arteries in the brain are part of a physiologic system, which facilitates fluids exchange and clearance of solutes from the brain. The perivascular compartments become visible on MRI when enlarged and are commonly referred to as perivascular spaces (ePVS). Previous studies on the association between ePVS and dementia have been inconsistent due to varying methods of measuring ePVS. As a frame of reference for future MRI studies on ePVS, we systematically review the literature on ePVS as a marker of vascular brain injury related to dementia from population-based as well as hospital-based settings. We identified three longitudinal and ten cross-sectional studies involving 7,581 persons. Potential outcomes were all-cause dementia, Alzheimer’s disease, and vascular dementia. There was considerable heterogeneity in ePVS assessment: with studies using either visual inspection or segmentation, examining different brain locations and implementing different grading scales. Moreover, out of the total of 13 studies, all five studies on vascular dementia reported an association with presence of basal ganglia ePVS after adjustment for age, gender, and white matter hyperintensities. For seven studies on Alzheimer’s disease and all-cause dementia, the results were ambiguous. This review did not identify an independent association of ePVS with prevalent or incident dementia. Harmonized methods for ePVS assessment, tested across different populations, may benefit futur
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50. Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium
- Author
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Brunner, F.J. (Fabian J), Waldeyer, C. (Christoph), Ojeda, F. (Francisco), Salomaa, V. (Veikko), Kee, F. (F.), Sans, S. (Susana), Thorand, B. (Barbara), Giampaoli, S. (Simona), Brambilla, P. (Paolo), Tunstall-Pedoe, H. (Hugh), Moitry, M. (Marie), Iacoviello, L. (Licia), Veronesi, G. (Giovanni), Grassi, G. (Guido), Mathiesen, E.B. (Ellisiv), Söderberg, S. (Stefan), Linneberg, A. (Allan), Brenner, H. (Hermann), Amouyel, P. (Philippe), Ferrières, J. (Jean), Tamosiunas, A. (Abdonas), Nikitin, Y., Drygas, W. (Wojciech), Melander, O. (Olle), JöCkel, K.-H. (Karl-Heinz), Leistner, D.M. (David M), Shaw, J.E., Panagiotakos, D.B. (Demosthenes), Simons, L.A. (Leon), Kavousi, M. (Maryam), Vasan, R.S. (Ramachandran Srini), Dullaart, R.P.F. (Robin P.F.), Wannamethee, S.G. (Goya), Riserus, U. (Ulf), Shea, S. (Steven), de Lemos, J.A. (James A), Omland, T. (Torbjørn), Kuulasmaa, K. (Kari), Landmesser, U. (Ulf), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Kontto, J. (Jukka), Männistö, S. (Satu), Metspalu, A. (Andres), Lackner, K.J. (Karl), Wild, P.S. (Philipp), Peters, A. (Annette), Meisinger, C. (Christa), Donfrancesco, C. (Chiara), Signorini, S. (Stefano), Alver, M. (Maris), Woodward, M. (Mark), Gianfagna, F. (Francesco), Costanzo, S. (Simona), Wilsgaard, T. (Tom), Eliasson, M. (Mats), Jorgensen, T. (Torben), Völzke, H. (Henry), Dörr, M. (Marcus), Nauck, M. (Matthias), Schöttker, B. (Ben), Lorenz, T. (Thiess), Makarova, N. (Nataliya), Twerenbold, R. (Raphael), Dallongeville, J., Dobson, A. (Annette), Malyutina, S., Pajak, A. (Andrzej), Engström, G., Bobak, M. (Martin), Schmidt, B. (Börge), Jääskeläinen, T. (Tuija), Niiranen, T. (Teemu), Jousilahti, P. (Pekka), Giles, G. (Graham), Hodge, A. (Allison), Klotsche, J. (Jens), Magliano, D.J., Lyngbakken, M.N. (Magnus N.), Hveem, K. (Kristian), Pitsavos, C. (Christos), Benjamin, E.J. (Emelia J.), Bakker, S.J.L. (Stephan), Whincup, P.H. (Peter), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), Koenig, W. (Wolfgang), Brunner, F.J. (Fabian J), Waldeyer, C. (Christoph), Ojeda, F. (Francisco), Salomaa, V. (Veikko), Kee, F. (F.), Sans, S. (Susana), Thorand, B. (Barbara), Giampaoli, S. (Simona), Brambilla, P. (Paolo), Tunstall-Pedoe, H. (Hugh), Moitry, M. (Marie), Iacoviello, L. (Licia), Veronesi, G. (Giovanni), Grassi, G. (Guido), Mathiesen, E.B. (Ellisiv), Söderberg, S. (Stefan), Linneberg, A. (Allan), Brenner, H. (Hermann), Amouyel, P. (Philippe), Ferrières, J. (Jean), Tamosiunas, A. (Abdonas), Nikitin, Y., Drygas, W. (Wojciech), Melander, O. (Olle), JöCkel, K.-H. (Karl-Heinz), Leistner, D.M. (David M), Shaw, J.E., Panagiotakos, D.B. (Demosthenes), Simons, L.A. (Leon), Kavousi, M. (Maryam), Vasan, R.S. (Ramachandran Srini), Dullaart, R.P.F. (Robin P.F.), Wannamethee, S.G. (Goya), Riserus, U. (Ulf), Shea, S. (Steven), de Lemos, J.A. (James A), Omland, T. (Torbjørn), Kuulasmaa, K. (Kari), Landmesser, U. (Ulf), Blankenberg, S. (Stefan), Zeller, T. (Tanja), Kontto, J. (Jukka), Männistö, S. (Satu), Metspalu, A. (Andres), Lackner, K.J. (Karl), Wild, P.S. (Philipp), Peters, A. (Annette), Meisinger, C. (Christa), Donfrancesco, C. (Chiara), Signorini, S. (Stefano), Alver, M. (Maris), Woodward, M. (Mark), Gianfagna, F. (Francesco), Costanzo, S. (Simona), Wilsgaard, T. (Tom), Eliasson, M. (Mats), Jorgensen, T. (Torben), Völzke, H. (Henry), Dörr, M. (Marcus), Nauck, M. (Matthias), Schöttker, B. (Ben), Lorenz, T. (Thiess), Makarova, N. (Nataliya), Twerenbold, R. (Raphael), Dallongeville, J., Dobson, A. (Annette), Malyutina, S., Pajak, A. (Andrzej), Engström, G., Bobak, M. (Martin), Schmidt, B. (Börge), Jääskeläinen, T. (Tuija), Niiranen, T. (Teemu), Jousilahti, P. (Pekka), Giles, G. (Graham), Hodge, A. (Allison), Klotsche, J. (Jens), Magliano, D.J., Lyngbakken, M.N. (Magnus N.), Hveem, K. (Kristian), Pitsavos, C. (Christos), Benjamin, E.J. (Emelia J.), Bakker, S.J.L. (Stephan), Whincup, P.H. (Peter), Ikram, M.K. (M. Kamran), Ingelsson, M. (Martin), and Koenig, W. (Wolfgang)
- Abstract
Background: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. Methods: In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence o
- Published
- 2019
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