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A comparison of statistical methods to predict the residual lifetime risk.

European journal of epidemiology

Conner SC, Beiser A, Benjamin EJ, LaValley MP, Larson MG, Trinquart L.
PMID: 34978669
Eur J Epidemiol. 2022 Jan 03; doi: 10.1007/s10654-021-00815-8. Epub 2022 Jan 03.

Lifetime risk measures the cumulative risk for developing a disease over one's lifespan. Modeling the lifetime risk must account for left truncation, the competing risk of death, and inference at a fixed age. In addition, statistical methods to predict...

Cite
Conner SC, Beiser A, Benjamin EJ, et al. A comparison of statistical methods to predict the residual lifetime risk. Eur J Epidemiol. 2022;doi: 10.1007/s10654-021-00815-8.
Conner, S. C., Beiser, A., Benjamin, E. J., LaValley, M. P., Larson, M. G., & Trinquart, L. (2022). A comparison of statistical methods to predict the residual lifetime risk. European journal of epidemiology, . https://doi.org/10.1007/s10654-021-00815-8
Conner, Sarah C, et al. "A comparison of statistical methods to predict the residual lifetime risk." European journal of epidemiology vol. (2022). doi: https://doi.org/10.1007/s10654-021-00815-8
Conner SC, Beiser A, Benjamin EJ, LaValley MP, Larson MG, Trinquart L. A comparison of statistical methods to predict the residual lifetime risk. Eur J Epidemiol. 2022 Jan 03; doi: 10.1007/s10654-021-00815-8. Epub 2022 Jan 03. PMID: 34978669.
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The genomics of heart failure: design and rationale of the HERMES consortium.

ESC heart failure

Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, Smith JG.
PMID: 34480422
ESC Heart Fail. 2021 Sep 03; doi: 10.1002/ehf2.13517. Epub 2021 Sep 03.

AIMS: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure.METHODS AND RESULTS: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases...

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Lumbers RT, Shah S, Lin H, et al. The genomics of heart failure: design and rationale of the HERMES consortium. ESC Heart Fail. 2021;doi: 10.1002/ehf2.13517.
Lumbers, R. T., Shah, S., Lin, H., Czuba, T., Henry, A., Swerdlow, D. I., Mälarstig, A., Andersson, C., Verweij, N., Holmes, M. V., Ärnlöv, J., Svensson, P., Hemingway, H., Sallah, N., Almgren, P., Aragam, K. G., Asselin, G., Backman, J. D., Biggs, M. L., Bloom, H. L., Boersma, E., Brandimarto, J., Brown, M. R., Brunner-La Rocca, H. P., Carey, D. J., Chaffin, M. D., Chasman, D. I., Chazara, O., Chen, X., Chen, X., Chung, J. H., Chutkow, W., Cleland, J. G. F., Cook, J. P., de Denus, S., Dehghan, A., Delgado, G. E., Denaxas, S., Doney, A. S., Dörr, M., Dudley, S. C., Engström, G., Esko, T., Fatemifar, G., Felix, S. B., Finan, C., Ford, I., Fougerousse, F., Fouodjio, R., Ghanbari, M., Ghasemi, S., Giedraitis, V., Giulianini, F., Gottdiener, J. S., Gross, S., Guðbjartsson, D. F., Gui, H., Gutmann, R., Haggerty, C. M., van der Harst, P., Hedman, �. �. K., Helgadottir, A., Hillege, H., Hyde, C. L., Jacob, J., Jukema, J. W., Kamanu, F., Kardys, I., Kavousi, M., Khaw, K. T., Kleber, M. E., Køber, L., Koekemoer, A., Kraus, B., Kuchenbaecker, K., Langenberg, C., Lind, L., Lindgren, C. M., London, B., Lotta, L. A., Lovering, R. C., Luan, J., Magnusson, P., Mahajan, A., Mann, D., Margulies, K. B., Marston, N. A., März, W., McMurray, J. J. V., Melander, O., Melloni, G., Mordi, I. R., Morley, M. P., Morris, A. D., Morris, A. P., Morrison, A. C., Nagle, M. W., Nelson, C. P., Newton-Cheh, C., Niessner, A., Niiranen, T., Nowak, C., O'Donoghue, M. L., Owens, A. T., Palmer, C. N. A., Paré, G., Perola, M., Perreault, L. L., Portilla-Fernandez, E., Psaty, B. M., Rice, K. M., Ridker, P. M., Romaine, S. P. R., Roselli, C., Rotter, J. I., Ruff, C. T., Sabatine, M. S., Salo, P., Salomaa, V., van Setten, J., Shalaby, A. A., Smelser, D. T., Smith, N. L., Stefansson, K., Stender, S., Stott, D. J., Sveinbjörnsson, G., Tammesoo, M. L., Tardif, J. C., Taylor, K. D., Teder-Laving, M., Teumer, A., Thorgeirsson, G., Thorsteinsdottir, U., Torp-Pedersen, C., Trompet, S., Tuckwell, D., Tyl, B., Uitterlinden, A. G., Vaura, F., Veluchamy, A., Visscher, P. M., Völker, U., Voors, A. A., Wang, X., Wareham, N. J., Weeke, P. E., Weiss, R., White, H. D., Wiggins, K. L., Xing, H., Yang, J., Yang, Y., Yerges-Armstrong, L. M., Yu, B., Zannad, F., Zhao, F., Wilk, J. B., Holm, H., Sattar, N., Lubitz, S. A., Lanfear, D. E., Shah, S., Dunn, M. E., Wells, Q. S., Asselbergs, F. W., Hingorani, A. D., Dubé, M. P., Samani, N. J., Lang, C. C., Cappola, T. P., Ellinor, P. T., Vasan, R. S., & Smith, J. G. (2021). The genomics of heart failure: design and rationale of the HERMES consortium. ESC heart failure, . https://doi.org/10.1002/ehf2.13517
Lumbers, R Thomas, et al. "The genomics of heart failure: design and rationale of the HERMES consortium." ESC heart failure vol. (2021). doi: https://doi.org/10.1002/ehf2.13517
Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, Smith JG. The genomics of heart failure: design and rationale of the HERMES consortium. ESC Heart Fail. 2021 Sep 03; doi: 10.1002/ehf2.13517. Epub 2021 Sep 03. PMID: 34480422.
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Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk.

JCI insight

Ngo D, Benson MD, Long JZ, Chen ZZ, Wang R, Nath AK, Keyes MJ, Shen D, Sinha S, Kuhn E, Morningstar JE, Shi X, Peterson BD, Chan C, Katz DH, Tahir UA, Farrell LA, Melander O, Mosley JD, Carr SA, Vasan RS, Larson MG, Smith JG, Wang TJ, Yang Q, Gerszten RE.
PMID: 33591955
JCI Insight. 2021 Mar 08;6(5). doi: 10.1172/jci.insight.144392.

Recent advances in proteomic technologies have made high-throughput profiling of low-abundance proteins in large epidemiological cohorts increasingly feasible. We investigated whether aptamer-based proteomic profiling could identify biomarkers associated with future development of type 2 diabetes (T2DM) beyond known risk...

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Ngo D, Benson MD, Long JZ, et al. Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk. JCI Insight. 2021;6(5)doi: 10.1172/jci.insight.144392.
Ngo, D., Benson, M. D., Long, J. Z., Chen, Z. Z., Wang, R., Nath, A. K., Keyes, M. J., Shen, D., Sinha, S., Kuhn, E., Morningstar, J. E., Shi, X., Peterson, B. D., Chan, C., Katz, D. H., Tahir, U. A., Farrell, L. A., Melander, O., Mosley, J. D., Carr, S. A., Vasan, R. S., Larson, M. G., Smith, J. G., Wang, T. J., Yang, Q., & Gerszten, R. E. (2021). Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk. JCI insight, 6(5), . https://doi.org/10.1172/jci.insight.144392
Ngo, Debby, et al. "Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk." JCI insight vol. 6,5 (2021). doi: https://doi.org/10.1172/jci.insight.144392
Ngo D, Benson MD, Long JZ, Chen ZZ, Wang R, Nath AK, Keyes MJ, Shen D, Sinha S, Kuhn E, Morningstar JE, Shi X, Peterson BD, Chan C, Katz DH, Tahir UA, Farrell LA, Melander O, Mosley JD, Carr SA, Vasan RS, Larson MG, Smith JG, Wang TJ, Yang Q, Gerszten RE. Proteomic profiling reveals biomarkers and pathways in type 2 diabetes risk. JCI Insight. 2021 Mar 08;6(5). doi: 10.1172/jci.insight.144392. PMID: 33591955; PMCID: PMC8021115.
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The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages.

Brain communications

Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S.
PMID: 33345186
Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020.

Brain-derived neurotrophic factor (BDNF) plays an important role in brain development and function. Substantial amounts of BDNF are present in peripheral blood, and may serve as biomarkers for Alzheimer's disease incidence as well as targets for intervention to reduce...

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Li S, Weinstein G, Zare H, et al. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020;2(2):fcaa176doi: 10.1093/braincomms/fcaa176.
Li, S., Weinstein, G., Zare, H., Teumer, A., Völker, U., Friedrich, N., Knol, M. J., Satizabal, C. L., Petyuk, V. A., Adams, H. H. H., Launer, L. J., Bennett, D. A., De Jager, P. L., Grabe, H. J., Ikram, M. A., Gudnason, V., Yang, Q., & Seshadri, S. (2020). The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain communications, 2(2), fcaa176. https://doi.org/10.1093/braincomms/fcaa176
Li, Shuo, et al. "The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages." Brain communications vol. 2,2 (2020): fcaa176. doi: https://doi.org/10.1093/braincomms/fcaa176
Li S, Weinstein G, Zare H, Teumer A, Völker U, Friedrich N, Knol MJ, Satizabal CL, Petyuk VA, Adams HHH, Launer LJ, Bennett DA, De Jager PL, Grabe HJ, Ikram MA, Gudnason V, Yang Q, Seshadri S. The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Commun. 2020 Oct 28;2(2):fcaa176. doi: 10.1093/braincomms/fcaa176. eCollection 2020. PMID: 33345186; PMCID: PMC7734441.
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High-throughput digitization of analog human echocardiography data.

MethodsX

Kwan AC, Salto G, Demosthenes E, Lehman BT, Osypiuk E, Stantchev P, Vasan RS, Cheng S.
PMID: 33665148
MethodsX. 2020 Nov 26;7:101159. doi: 10.1016/j.mex.2020.101159. eCollection 2020.

Echocardiographic imaging has been acquired in historical longitudinal cohorts of cardiovascular disease. Many cohorts were established prior to digital recording of echocardiography, and thus have preserved their archival imaging on Video Home System (VHS) tapes. These tapes require large...

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Kwan AC, Salto G, Demosthenes E, et al. High-throughput digitization of analog human echocardiography data. MethodsX. 2020;7:101159doi: 10.1016/j.mex.2020.101159.
Kwan, A. C., Salto, G., Demosthenes, E., Lehman, B. T., Osypiuk, E., Stantchev, P., Vasan, R. S., & Cheng, S. (2020). High-throughput digitization of analog human echocardiography data. MethodsX, 7101159. https://doi.org/10.1016/j.mex.2020.101159
Kwan, Alan C, et al. "High-throughput digitization of analog human echocardiography data." MethodsX vol. 7 (2020): 101159. doi: https://doi.org/10.1016/j.mex.2020.101159
Kwan AC, Salto G, Demosthenes E, Lehman BT, Osypiuk E, Stantchev P, Vasan RS, Cheng S. High-throughput digitization of analog human echocardiography data. MethodsX. 2020 Nov 26;7:101159. doi: 10.1016/j.mex.2020.101159. eCollection 2020. PMID: 33665148; PMCID: PMC7897705.
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Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease.

Hypertension (Dallas, Tex. : 1979)

Vasan RS, Pan S, Larson MG, Mitchell GF, Xanthakis V.
PMID: 34601961
Hypertension. 2021 Nov;78(5):1232-1240. doi: 10.1161/HYPERTENSIONAHA.121.18075. Epub 2021 Oct 04.

[Figure: see text].

Cite
Vasan RS, Pan S, Larson MG, et al. Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease. Hypertension. 2021;78(5):1232-1240doi: 10.1161/HYPERTENSIONAHA.121.18075.
Vasan, R. S., Pan, S., Larson, M. G., Mitchell, G. F., & Xanthakis, V. (2021). Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease. Hypertension (Dallas, Tex. : 1979), 78(5), 1232-1240. https://doi.org/10.1161/HYPERTENSIONAHA.121.18075
Vasan, Ramachandran S, et al. "Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease." Hypertension (Dallas, Tex. : 1979) vol. 78,5 (2021): 1232-1240. doi: https://doi.org/10.1161/HYPERTENSIONAHA.121.18075
Vasan RS, Pan S, Larson MG, Mitchell GF, Xanthakis V. Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease. Hypertension. 2021 Nov;78(5):1232-1240. doi: 10.1161/HYPERTENSIONAHA.121.18075. Epub 2021 Oct 04. PMID: 34601961; PMCID: PMC8516717.
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Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study.

Hypertension (Dallas, Tex. : 1979)

Vasan RS, Song RJ, Xanthakis V, Mitchell GF.
PMID: 34601969
Hypertension. 2021 Nov;78(5):1278-1286. doi: 10.1161/HYPERTENSIONAHA.121.17702. Epub 2021 Oct 04.

[Figure: see text].

Cite
Vasan RS, Song RJ, Xanthakis V, et al. Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study. Hypertension. 2021;78(5):1278-1286doi: 10.1161/HYPERTENSIONAHA.121.17702.
Vasan, R. S., Song, R. J., Xanthakis, V., & Mitchell, G. F. (2021). Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study. Hypertension (Dallas, Tex. : 1979), 78(5), 1278-1286. https://doi.org/10.1161/HYPERTENSIONAHA.121.17702
Vasan, Ramachandran S, et al. "Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study." Hypertension (Dallas, Tex. : 1979) vol. 78,5 (2021): 1278-1286. doi: https://doi.org/10.1161/HYPERTENSIONAHA.121.17702
Vasan RS, Song RJ, Xanthakis V, Mitchell GF. Aortic Root Diameter and Arterial Stiffness: Conjoint Relations to the Incidence of Cardiovascular Disease in the Framingham Heart Study. Hypertension. 2021 Nov;78(5):1278-1286. doi: 10.1161/HYPERTENSIONAHA.121.17702. Epub 2021 Oct 04. PMID: 34601969; PMCID: PMC8516742.
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Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study.

The Lancet. Digital health

Vasan RS, van den Heuvel E.
PMID: 34952676
Lancet Digit Health. 2022 Jan;4(1):e55-e63. doi: 10.1016/S2589-7500(21)00236-3.

BACKGROUND: Sex-specific and race-specific pooled cohort equations (PCEs) are recommended for estimating the 10-year risk of cardiovascular disease, with an absolute risk of more than 7·5% indicating a clinical decision threshold. We compared differences between Black and White individuals...

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Vasan RS, van den Heuvel E. Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study. Lancet Digit Health. 2022;4(1):e55-e63doi: 10.1016/S2589-7500(21)00236-3.
Vasan, R. S., & van den Heuvel, E. (2022). Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study. The Lancet. Digital health, 4(1), e55-e63. https://doi.org/10.1016/S2589-7500(21)00236-3
Vasan, Ramachandran S, and van den Heuvel, Edwin. "Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study." The Lancet. Digital health vol. 4,1 (2022): e55-e63. doi: https://doi.org/10.1016/S2589-7500(21)00236-3
Vasan RS, van den Heuvel E. Differences in estimates for 10-year risk of cardiovascular disease in Black versus White individuals with identical risk factor profiles using pooled cohort equations: an in silico cohort study. Lancet Digit Health. 2022 Jan;4(1):e55-e63. doi: 10.1016/S2589-7500(21)00236-3. PMID: 34952676; PMCID: PMC8715354.
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Reply.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

Long MT, Naimi TS.
PMID: 31926338
Clin Gastroenterol Hepatol. 2020 Jun;18(7):1651-1652. doi: 10.1016/j.cgh.2020.01.001. Epub 2020 Jan 08.

No abstract available.

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Long MT, Naimi TS. Reply. Clin Gastroenterol Hepatol. 2020;18(7):1651-1652doi: 10.1016/j.cgh.2020.01.001.
Long, M. T., & Naimi, T. S. (2020). Reply. Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 18(7), 1651-1652. https://doi.org/10.1016/j.cgh.2020.01.001
Long, Michelle T, and Naimi, Timothy S. "Reply." Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association vol. 18,7 (2020): 1651-1652. doi: https://doi.org/10.1016/j.cgh.2020.01.001
Long MT, Naimi TS. Reply. Clin Gastroenterol Hepatol. 2020 Jun;18(7):1651-1652. doi: 10.1016/j.cgh.2020.01.001. Epub 2020 Jan 08. PMID: 31926338; PMCID: PMC8631247.
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An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions?.

Expert review of cardiovascular therapy

Lieb W, Vasan RS.
PMID: 32672491
Expert Rev Cardiovasc Ther. 2020 Aug;18(8):443-447. doi: 10.1080/14779072.2020.1797489. Epub 2020 Aug 09.

No abstract available.

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Lieb W, Vasan RS. An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions?. Expert Rev Cardiovasc Ther. 2020;18(8):443-447doi: 10.1080/14779072.2020.1797489.
Lieb, W., & Vasan, R. S. (2020). An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions?. Expert review of cardiovascular therapy, 18(8), 443-447. https://doi.org/10.1080/14779072.2020.1797489
Lieb, Wolfgang, and Vasan, Ramachandran S. "An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions?." Expert review of cardiovascular therapy vol. 18,8 (2020): 443-447. doi: https://doi.org/10.1080/14779072.2020.1797489
Lieb W, Vasan RS. An update on genetic risk scores for coronary artery disease: are they useful for predicting disease risk and guiding clinical decisions?. Expert Rev Cardiovasc Ther. 2020 Aug;18(8):443-447. doi: 10.1080/14779072.2020.1797489. Epub 2020 Aug 09. PMID: 32672491.
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Physical activity and fitness in the community: the Framingham Heart Study.

European heart journal

Nayor M, Chernofsky A, Spartano NL, Tanguay M, Blodgett JB, Murthy VL, Malhotra R, Houstis NE, Velagaleti RS, Murabito JM, Larson MG, Vasan RS, Shah RV, Lewis GD.
PMID: 34436560
Eur Heart J. 2021 Nov 21;42(44):4565-4575. doi: 10.1093/eurheartj/ehab580.

AIMS: While greater physical activity (PA) is associated with improved health outcomes, the direct links between distinct components of PA, their changes over time, and cardiorespiratory fitness are incompletely understood.METHODS AND RESULTS: Maximum effort cardiopulmonary exercise testing (CPET) and...

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Nayor M, Chernofsky A, Spartano NL, et al. Physical activity and fitness in the community: the Framingham Heart Study. Eur Heart J. 2021;42(44):4565-4575doi: 10.1093/eurheartj/ehab580.
Nayor, M., Chernofsky, A., Spartano, N. L., Tanguay, M., Blodgett, J. B., Murthy, V. L., Malhotra, R., Houstis, N. E., Velagaleti, R. S., Murabito, J. M., Larson, M. G., Vasan, R. S., Shah, R. V., & Lewis, G. D. (2021). Physical activity and fitness in the community: the Framingham Heart Study. European heart journal, 42(44), 4565-4575. https://doi.org/10.1093/eurheartj/ehab580
Nayor, Matthew, et al. "Physical activity and fitness in the community: the Framingham Heart Study." European heart journal vol. 42,44 (2021): 4565-4575. doi: https://doi.org/10.1093/eurheartj/ehab580
Nayor M, Chernofsky A, Spartano NL, Tanguay M, Blodgett JB, Murthy VL, Malhotra R, Houstis NE, Velagaleti RS, Murabito JM, Larson MG, Vasan RS, Shah RV, Lewis GD. Physical activity and fitness in the community: the Framingham Heart Study. Eur Heart J. 2021 Nov 21;42(44):4565-4575. doi: 10.1093/eurheartj/ehab580. PMID: 34436560; PMCID: PMC8633734.
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Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Journal of medical Internet research

Pathiravasan CH, Zhang Y, Trinquart L, Benjamin EJ, Borrelli B, McManus DD, Kheterpal V, Lin H, Sardana M, Hammond MM, Spartano NL, Dunn AL, Schramm E, Nowak C, Manders ES, Liu H, Kornej J, Liu C, Murabito JM.
PMID: 33470944
J Med Internet Res. 2021 Jan 20;23(1):e24773. doi: 10.2196/24773.

BACKGROUND: eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare...

Cite
Pathiravasan CH, Zhang Y, Trinquart L, et al. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. J Med Internet Res. 2021;23(1):e24773doi: 10.2196/24773.
Pathiravasan, C. H., Zhang, Y., Trinquart, L., Benjamin, E. J., Borrelli, B., McManus, D. D., Kheterpal, V., Lin, H., Sardana, M., Hammond, M. M., Spartano, N. L., Dunn, A. L., Schramm, E., Nowak, C., Manders, E. S., Liu, H., Kornej, J., Liu, C., & Murabito, J. M. (2021). Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. Journal of medical Internet research, 23(1), e24773. https://doi.org/10.2196/24773
Pathiravasan, Chathurangi H, et al. "Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study." Journal of medical Internet research vol. 23,1 (2021): e24773. doi: https://doi.org/10.2196/24773
Pathiravasan CH, Zhang Y, Trinquart L, Benjamin EJ, Borrelli B, McManus DD, Kheterpal V, Lin H, Sardana M, Hammond MM, Spartano NL, Dunn AL, Schramm E, Nowak C, Manders ES, Liu H, Kornej J, Liu C, Murabito JM. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. J Med Internet Res. 2021 Jan 20;23(1):e24773. doi: 10.2196/24773. PMID: 33470944; PMCID: PMC7857942.
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