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441 results on '"Agarwal, Sunil K."'

4. Emerging Technology Intervention Model of Core Support for Inclusive Rural Growth: Social–Economic–Ecological Interface Building Through Innovative Scalable Solutions and Effective Delivery Mechanism

Author

Agarwal, Sunil K., Förstner, Ulrich, Series Editor, Rulkens, Wim H., Series Editor, Salomons, Wim, Series Editor, Roy, Niranjan, editor, Roychoudhury, Shubhadeep, editor, Nautiyal, Sunil, editor, Agarwal, Sunil K., editor, and Baksi, Sangeeta, editor

Published
2020
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5. Novel Genetic Markers Associate With Atrial Fibrillation Risk in Europeans and Japanese

Author

Lubitz, Steven A, Lunetta, Kathryn L, Lin, Honghuang, Arking, Dan E, Trompet, Stella, Li, Guo, Krijthe, Bouwe P, Chasman, Daniel I, Barnard, John, Kleber, Marcus E, Dörr, Marcus, Ozaki, Kouichi, Smith, Albert V, Müller-Nurasyid, Martina, Walter, Stefan, Agarwal, Sunil K, Bis, Joshua C, Brody, Jennifer A, Chen, Lin Y, Everett, Brendan M, Ford, Ian, Franco, Oscar H, Harris, Tamara B, Hofman, Albert, Kääb, Stefan, Mahida, Saagar, Kathiresan, Sekar, Kubo, Michiaki, Launer, Lenore J, Macfarlane, Peter W, Magnani, Jared W, McKnight, Barbara, McManus, David D, Peters, Annette, Psaty, Bruce M, Rose, Lynda M, Rotter, Jerome I, Silbernagel, Guenther, Smith, Jonathan D, Sotoodehnia, Nona, Stott, David J, Taylor, Kent D, Tomaschitz, Andreas, Tsunoda, Tatsuhiko, Uitterlinden, Andre G, Van Wagoner, David R, Völker, Uwe, Völzke, Henry, Murabito, Joanne M, Sinner, Moritz F, Gudnason, Vilmundur, Felix, Stephan B, März, Winfried, Chung, Mina, Albert, Christine M, Stricker, Bruno H, Tanaka, Toshihiro, Heckbert, Susan R, Jukema, J Wouter, Alonso, Alvaro, Benjamin, Emelia J, and Ellinor, Patrick T

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Genetics, Heart Disease, Cardiovascular, Clinical Research, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Aged, 80 and over, Asian People, Atrial Fibrillation, Chromosome Mapping, Chromosomes, Human, Pair 4, Europe, Female, Genetic Markers, Genetic Predisposition to Disease, Homeodomain Proteins, Humans, Japan, Male, Middle Aged, Polymorphism, Single Nucleotide, Transcription Factors, White People, atrial fibrillation, atrial flutter, genetic, prognosis, risk, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

ObjectivesThis study sought to identify nonredundant atrial fibrillation (AF) genetic susceptibility signals and examine their cumulative relations with AF risk.BackgroundAF-associated loci span broad genomic regions that may contain multiple susceptibility signals. Whether multiple signals exist at AF loci has not been systematically explored.MethodsWe performed association testing conditioned on the most significant, independently associated genetic markers at 9 established AF loci using 2 complementary techniques in 64,683 individuals of European ancestry (3,869 incident and 3,302 prevalent AF cases). Genetic risk scores were created and tested for association with AF in Europeans and an independent sample of 11,309 individuals of Japanese ancestry (7,916 prevalent AF cases).ResultsWe observed at least 4 distinct AF susceptibility signals on chromosome 4q25 upstream of PITX2, but not at the remaining 8 AF loci. A multilocus score comprised 12 genetic markers demonstrated an estimated 5-fold gradient in AF risk. We observed a similar spectrum of risk associated with these markers in Japanese. Regions containing AF signals on chromosome 4q25 displayed a greater degree of evolutionary conservation than the remainder of the locus, suggesting that they may tag regulatory elements.ConclusionsThe chromosome 4q25 AF locus is architecturally complex and harbors at least 4 AF susceptibility signals in individuals of European ancestry. Similar polygenic AF susceptibility exists between Europeans and Japanese. Future work is necessary to identify causal variants, determine mechanisms by which associated loci predispose to AF, and explore whether AF susceptibility signals classify individuals at risk for AF and related morbidity.

Published
2014

26. B-type natriuretic peptide and C-reactive protein in the prediction of atrial fibrillation risk: the CHARGE-AF Consortium of community-based cohort studies

Author

Sinner, Moritz F., Stepas, Katherine A., Moser, Carlee B., Krijthe, Bouwe P., Aspelund, Thor, Sotoodehnia, Nona, Fontes, João D., Janssens, A. Cecile J.W., Kronmal, Richard A., Magnani, Jared W., Witteman, Jacqueline C., Chamberlain, Alanna M., Lubitz, Steven A., Schnabel, Renate B., Vasan, Ramachandran S., Wang, Thomas J., Agarwal, Sunil K., McManus, David D., Franco, Oscar H., Yin, Xiaoyan, Larson, Martin G., Burke, Gregory L., Launer, Lenore J., Hofman, Albert, Levy, Daniel, Gottdiener, John S., Kääb, Stefan, Couper, David, Harris, Tamara B., Astor, Brad C., Ballantyne, Christie M., Hoogeveen, Ron C., Arai, Andrew E., Soliman, Elsayed Z., Ellinor, Patrick T., Stricker, Bruno H.C., Gudnason, Vilmundur, Heckbert, Susan R., Pencina, Michael J., Benjamin, Emelia J., and Alonso, Alvaro

Published
2014
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29. Abstract MP07: Metabolic Signature Improves Heart Failure Risk Prediction In Older Adults

Author

Liu, Guning, primary, Nguyen, Quynh, additional, Agarwal, Sunil K, additional, Aguilar, David, additional, Boerwinkle, Eric, additional, Chang, Patricia, additional, Claggett, Brian, additional, Loehr, Laura R, additional, Matsushita, Kunihiro, additional, Rodriguez, Carlos, additional, Rossi, Joseph, additional, Russell, Stuart D, additional, Stacey, Brandon, additional, Heiss, Gerardo M, additional, Shah, Amil, additional, and Yu, Bing, additional

Published
2021
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30. Correlates of hypertension among urban Asian Indian adolescents

Author

Goel, Ruchika, Misra, Anoop, Agarwal, Sunil K., and Vikram, Naval

Subjects
Hypertension -- Demographic aspects, Hypertension -- Risk factors, Hypertension -- Research, Obesity in children -- Research, Blood lipids -- Measurement, Blood lipids -- Demographic aspects, Blood lipids -- Research, Disease susceptibility -- Research
Published
2010

36. Predictors of Mortality by Sex and Race in Heart Failure With Preserved Ejection Fraction: ARIC Community Surveillance Study

Author

Sharma, Kavita, primary, Mok, Yejin, additional, Kwak, Lucia, additional, Agarwal, Sunil K., additional, Chang, Patricia P., additional, Deswal, Anita, additional, Shah, Amil M., additional, Kitzman, Dalane W., additional, Wruck, Lisa M., additional, Loehr, Laura R., additional, Heiss, Gerardo, additional, Coresh, Josef, additional, Rosamond, Wayne D., additional, Solomon, Scott D., additional, Matsushita, Kunihiro, additional, and Russell, Stuart D., additional

Published
2020
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44. Cardiac Autonomic Dysfunction and Incidence of Atrial Fibrillation

Author

Alonso, Alvaro, Whitsel, Eric A., Norby, Faye L., Loehr, Laura R., Fuster, Valentin, Chen, Lin Y., Coresh, Josef, Heiss, Gerardo, Agarwal, Sunil K., and Soliman, Elsayed Z.

Subjects
cardiovascular system
Abstract

Cardiac autonomic perturbations frequently antecede onset of paroxysmal atrial fibrillation (AF). Interventions that influence autonomic inputs to myocardium may prevent AF. However, whether low heart rate or heart rate variability (HRV), which are noninvasive measures of cardiac autonomic dysfunction, are associated with AF incidence is unclear.

Published
2017
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46. Association of Atrial Fibrillation With Cognitive Decline and Dementia Over 20 Years: The ARIC‐NCS (Atherosclerosis Risk in Communities Neurocognitive Study)

Author

Chen, Lin Y., primary, Norby, Faye L., additional, Gottesman, Rebecca F., additional, Mosley, Thomas H., additional, Soliman, Elsayed Z., additional, Agarwal, Sunil K., additional, Loehr, Laura R., additional, Folsom, Aaron R., additional, Coresh, Josef, additional, and Alonso, Alvaro, additional

Published
2018
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49. Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis

Author

Ballantyne, Christie M., Levy, Daniel, Hofman, Albert, Devereux, Richard B., Barrett-Connor, Elizabeth, Gansevoort, Ron T., Maisel, Alan S., Nordestgaard, Børge G., Cook, Nancy R., Lima, João A., Nambi, Vijay, Olsen, Michael Hecht, Yarnell, John W.G., Whincup, Peter H., Raymond, Ilan, Casas, Juan-Pablo, Manson, JoAnn E., Jukema, J. Wouter, Ikram, M. Arfan, Luchner, Andreas, Zethelius, Björn, Pradhan, Aruna D., Hoogeveen, Ron C., Safford, Monika M., Franco, Oscar H., Andersson, Jonas, Stark, Klaus, Salonen, Jukka T., Dehghan, Abbas, Kavousi, Maryam, Santer, Peter, Lindahl, Bertil, Rubattu, Speranza, Kistorp, Caroline N., Jørgensen, Torben, Schou, Morten, Peters, Annette, van den Meiracker, Anton H., Lind, Lars, Dieplinger, Benjamin, Haltmayer, Meinhard, Ruskoaho, Heikki, Kizer, Jorge R., Strazzullo, Pasquale, Kiechl, Stefan, Everett, Brendan M., de Craen, Anton J.M., Agarwal, Sunil K., Panagiotakos, Demosthenes B., Ridker, Paul M., Wannamethee, S. Goya, McGuire, Darren K., Willeit, Johann, Kee, Frank, Melander, Olle, Das, Sandeep R., Ford, Ian, Wennberg, Patrik, Zakai, Neil A., Best, Lyle G., Lawlor, Debbie A., Zeller, Tanja, Rosenberg, Jens, Psaty, Bruce M., Gudnason, Vilmundur, Trompet, Stella, Andresdottir, Margret B., Stott, David J., Drazner, Mark H., Cushman, Mary, Gustafsson, Finn, Hildebrandt, Per R., Ninomiya, Toshiharu, Agnarsson, Uggi, Hata, Jun, Bakker, Stephan J.L., Welsh, Paul, de Boer, Rudolf A., Mueller, Thomas, Giedraitis, Vilmantas, Howard, Virginia J., Kauhanen, Jussi, DeFilippi, Christopher, Laukkanen, Jari A., Willeit, Peter, Volpe, Massimo, de Lemos, James A., Kiyohara, Yutaka, Evans, Alun, van Rooij, Frank J.A., Venge, Per, Salomaa, Veikko, Jansson, Jan-Håkan, Heid, Iris M., Aspelund, Thor, Kronmal, Richard A., Eiriksdottir, Gudny, Lannfelt, Lars, Harald, Kennet, Schett, Georg, Tuomainen, Tomi-Pekka, Vartiainen, Erkki, Judd, Suzanne, Packard, Chris J., Daniels, Lori B., Ärnlöv, Johan, Sattar, Naveed, Umans, Jason G., Ligthart, Symen, and Heckbert, Susan R.

Abstract

BACKGROUND: Guidelines for primary prevention of cardiovascular diseases focus on prediction of coronary heart disease and stroke. We assessed whether or not measurement of N-terminal-pro-B-type natriuretic peptide (NT-proBNP) concentration could enable a more integrated approach than at present by predicting heart failure and enhancing coronary heart disease and stroke risk assessment. METHODS: In this individual-participant-data meta-analysis, we generated and harmonised individual-participant data from relevant prospective studies via both de-novo NT-proBNP concentration measurement of stored samples and collection of data from studies identified through a systematic search of the literature (PubMed, Scientific Citation Index Expanded, and Embase) for articles published up to Sept 4, 2014, using search terms related to natriuretic peptide family members and the primary outcomes, with no language restrictions. We calculated risk ratios and measures of risk discrimination and reclassification across predicted 10 year risk categories (ie

Published
2016
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50. Temporal Trends in Hospitalization for Acute Decompensated Heart Failure in the United States, 1998–2011

Author

Loehr, Laura R., Rosamond, Wayne D., Wright, Jacqueline, Quibrera, Miguel, Wruck, Lisa, Matsushita, Kunihiro, Heiss, Gerardo, Coresh, Josef, Chang, Patricia P., and Agarwal, Sunil K.

Abstract

Estimates of the numbers and rates of acute decompensated heart failure (ADHF) hospitalization are central to understanding health-care utilization and efforts to improve patient care. We comprehensively estimated the frequency, rate, and trends of ADHF hospitalization in the United States. Based on Atherosclerosis Risk in Communities (ARIC) Study surveillance adjudicating 12,450 eligible hospitalizations during 2005–2010, we developed prediction models for ADHF separately for 3 International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 428 discharge diagnosis groups: 428 primary, 428 nonprimary, or 428 absent. We applied the models to data from the National Inpatient Sample (11.5 million hospitalizations of persons aged ≥55 years with eligible ICD-9-CM codes), an all-payer, 20% probability sample of US community hospitals. The average estimated number of ADHF hospitalizations per year was 1.76 million (428 primary, 0.80 million; 428 nonprimary, 0.83 million; 428 absent, 0.13 million). During 1998–2004, the rate of ADHF hospitalization increased by 2.0%/year (95% confidence interval (CI): 1.8, 2.5) versus a 1.4%/year (95% CI: 0.8, 2.1) increase in code 428 primary hospitalizations (P < 0.001). In contrast, during 2005–2011, numbers of ADHF hospitalizations were stable (−0.5%/year; 95% CI: −1.4, 0.3), while the numbers of 428-primary hospitalizations decreased by −1.5%/year (95% CI: −2.2, −0.8) (P for contrast = 0.03). In conclusion, the estimated number of hospitalizations with ADHF is approximately 2 times higher than the number of hospitalizations with ICD-9-CM code 428 in the primary position. The trend increased more steeply prior to 2005 and was relatively flat after 2005.

Published
2016
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