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Sofie Alcasey, M.S.
Clinical Research Project Manager
Department of Internal Medicine
Division of Cardiology
UT Southwestern Medical Center
5323 Harry Hines Blvd., E5.508
Dallas, Texas 75390-8830
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Publications

Publications

Heart Failure with Preserved Ejection Fraction and Geriatric Cardiology

  1. Segar M, Patel K, Ayers C, Basit M, Tang Wilson W. H, Willett D, Berry J, Grodin J, Pandey A. Phenomapping of patients with heart failure with preserved ejection fraction using machine learning-based unsupervised cluster analysis. European Journal of Heart Failure 2020;22 (1):148-158.
  2. Pandey A, Yanamala N, Kagiyama N, Segar M, Tokodi M, Cho Jung Sun, Sengupta P. Deep- learning Models for the Echocardiographic Assessment of Diastolic Dysfunction: Development and Validation in NHLBI-Funded Heart Failure Clinical Trials. JACC: Cardiovascular Imaging 2021 Oct;14(10):1887-1900.
  3. Kitzman, D. W., Upadhya, B., & Pandey, A. (2023). Rate-Adaptive Pacing for Heart Failure With Preserved Ejection Fraction. JAMA, 329(10), 797–799. doi: 10.1001/jama.2023.1053
  4. Pandey, A., Kitzman, D. W., Nelson, M. B., Pastva, A. M., Duncan, P., Whellan, D. J., Mentz, R. J., Chen, H., Upadhya, B., & Reeves, G. R. (2023). Frailty and Effects of a Multidomain Physical Rehabilitation Intervention Among Older Patients Hospitalized for Acute Heart Failure: A Secondary Analysis of a Randomized Clinical Trial. JAMA Cardiology, 8(2), 167–176. doi:10.1001/jamacardio.2022.4903
  5. Pandey, A., Shah, S. J., Butler, J., Kellogg, D. L., Jr, Lewis, G. D., Forman, D. E., Mentz, R. J., Borlaug, B. A., Simon, M. A., Chirinos, J. A., Fielding, R. A., Volpi, E., Molina, A. J. A., Haykowsky, M. J., Sam, F., Goodpaster, B. H., Bertoni, A. G., Justice, J. N., White, J. P., Ding, J., … Kitzman, D. (2021). Exercise Intolerance in Older Adults With Heart Failure With Preserved Ejection Fraction: JACC State-of-the-Art Review. Journal of the American College of Cardiology, 2021 Sep 14;78(11):1166-1187. doi: 10.1016/j.jacc.2021.07.014.

Big Data, Risk Prediction and Epidemiology

  1. Segar, M. W., Patel, K. V., Vaduganathan, M., Caughey, M. C., Jaeger, B. C., Basit, M., Willett, D., Butler, J., Sengupta, P. P., Wang, T. J., McGuire, D. K., & Pandey, A. (2021). Development and validation of optimal phenomapping methods to estimate long-term atherosclerotic cardiovascular disease risk in patients with type 2 diabetes. Diabetologia, 64(7), 1583–1594. doi: 10.1007/s00125-021-05426-2
  2. Pandey, A., & Adedinsewo, D. (2022). The Future of AI-Enhanced ECG Interpretation for Valvular Heart Disease Screening. Journal of the American College of Cardiology, 80(6), 627–630. doi: 10.1016/j.jacc.2022.05.034
  3. Segar, M. W., Khan, M. S., Patel, K. V., Vaduganathan, M., Kannan, V., Willett, D., Peterson, E., Tang, W. H. W., Butler, J., Everett, B. M., Fonarow, G. C., Wang, T. J., McGuire, D. K., & Pandey, A. (2022). Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia. European journal of heart failure, 24(1), 169–180. doi: 10.1002/ejhf.2375
  4. Segar, M. W., Jaeger, B. C., Patel, K. V., Nambi, V., Ndumele, C. E., Correa, A., Butler, J., Chandra, A., Ayers, C., Rao, S., Lewis, A. A., Raffield, L. M., Rodriguez, C. J., Michos, E. D., Ballantyne, C. M., Hall, M. E., Mentz, R. J., de Lemos, J. A., & Pandey, A. (2021). Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis. Circulation, 143(24), 2370–2383. doi: 10.1161/CIRCULATIONAHA.120.053134
  5. Mosley JD, Gupta DK, Tan J, Yao J, Wells QS, Shaffer CM, Kundu S, Robinson-Cohen C, Psaty BM, Rich SS, Post WS, Guo X, Rotter JI, Roden DM, Gerszten RE, Wang TJ. Predictive accuracy of a polygenic risk score compared with a clinical risk score for incident coronary heart disease. JAMA. 2020;323:627-635. doi: 10.1001/jama.2019.21782

Biomarkers and Metabolomics

  1. Patel, K. V., Segar, M. W., Lavie, C. J., Kondamudi, N., Neeland, I. J., Almandoz, J. P., Martin, C. K., Carbone, S., Butler, J., Powell-Wiley, T. M., & Pandey, A. (2022). Diabetes Status Modifies the Association Between Different Measures of Obesity and Heart Failure Risk Among Older Adults: A Pooled Analysis of Community-Based NHLBI Cohorts. Circulation, 145(4), 268–278. doi: 10.1161/CIRCULATIONAHA.121.055830
  2. Pandey, A., Mehta, A., Paluch, A., Ning, H., Carnethon, M. R., Allen, N. B., Michos, E. D., Berry, J. D., Lloyd-Jones, D. M., & Wilkins, J. T. (2021). Performance of the American Heart Association/American College of Cardiology Pooled Cohort Equations to Estimate Atherosclerotic Cardiovascular Disease Risk by Self-reported Physical Activity Levels. JAMA cardiology, 6(6), 690–696. doi: 10.1001/jamacardio.2021.0948
  3. Segar M, Vaduganathan M, Patel KV, McGuire DK, Butler J, Fonarow GC, Basit M, Kannan V, Grodin JL, Everett B, Willett D, Berry J, Pandey A. Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients with Diabetes. Diabetes Care. 2019,42:2298-2306. doi: 10.2337/dc19-0587.
  4. Pandey A, Patel K, Vongpatanasin W, et al. Incorporation of Biomarkers into Risk Assessment for Allocation of Antihypertensive Medication According to the 2017 ACC/AHA High Blood Pressure Guideline: A Pooled Cohort Analysis. Circulation 2019;140(25):2076-2088 doi: 10.1161/CIRCULATIONAHA.119.043337.
  5. York, M. K., Gupta, D. K., Reynolds, C. F., Farber-Eger, E., Wells, Q. S., Bachmann, K. N., Xu, M., Harrell, F. E., Jr, & Wang, T. J. B-Type Natriuretic Peptide Levels and Mortality in Patients With and Without Heart Failure. Journal of the American College of Cardiology, 2018,71(19), 2079–2088. doi: 10.1016/j.jacc.2018.02.071
  6. Benson MD, Yang Q, Ngo D, Zhu Y, Shen D, Farrell LA, Sinha S, Keyes MJ, Vasan RS, Larson MG, Smith JG, Wang TJ*, Gerszten RE*. Genetic architecture of the cardiovascular risk proteome. Circulation. 2018; 137:1158-1172. doi: 10.1161/CIRCULATIONAHA.117.029536.
  7. Mosley JD, Benson MD, Smith JG, Melander O, Ngo D, Shaffer CM, Ferguson JF, Herzig MS, McCarty CA, Chute CG, Jarvik GP, Gordon AS, Palmer MR, Crosslin DR, Larson EB, Carrell DS, Kullo IJ, Pacheco JA, Peissig PL, Brilliant MH, Kitchner TE, Linneman JG, Namjou B, Williams MS, Ritchie MD, Borthwick KM, Kiryluk K, Mentch FD, Sleiman PM, Karlson EW, Verma SS, Zhu Y, Vasan RS, Yang Q, Denny JC, Roden DM, Gerszten RE*, Wang TJ*. Probing the virtual proteome to identify novel disease biomarkers. Circulation. 2018;138:2469-2481. doi: 10.1161/CIRCULATIONAHA.118.036063.
  8. Cheng S, Larson M, McCabe E, Murabito J, Rhee E, Ho J, Jacques PF, Ghorbani A, Magnusson M, Souza A, Diek A, Pierce K, Bullock K, O'Donnell C, Melander O, Clish C, Vasan R, Gerszten R, Wang T. Distinct metabolic signatures are associated with longevity in humans. Nature Comm. 2015;6:6791. doi: 10.1038/ncomms7791.
  9. Wang, T. J., Ngo, D., Psychogios, N., Dejam, A., Larson, M. G., Vasan, R. S., ... & Gerszten, R. E. 2-Aminoadipic acid is a biomarker for diabetes risk. The Journal of Clinical Investigation, 2013,123(10), 4309-4317. doi: 10.1172/JCI64801.
  10. Magnusson, Martin, Gregory D. Lewis, Ulrika Ericson, Marju Orho-Melander, Bo Hedblad, Gunnar Engström, Gerd Östling et al. A diabetes-predictive amino acid score and future cardiovascular disease. European heart journal 34, no. 26 (2013): 1982-1989. doi: 10.1093/eurheartj/ehs424.
  11. Wang TJ, Larson MG, Vasan RS, Cheng S, Rhee EP, McCabe E, Lewis GD, Fox CS, Jacques PF, Fernandez C, O’Donnell CJ, Carr SA, Mootha VK, Florez JC, Souza A, Melander O, Clish CB, Gerszten RE. Metabolite profiles and the risk of developing diabetes. Nature Medicine. 2011;17:448-53. doi: 10.1038/nm.2307. 
  12. Melander O, Newton-Cheh C, Almgren P, Hedblad B, Berglund G, Engström G, Persson M, Smith JG, Magnusson M, Christensson A, Struck J, Morgenthaler NG, Bergmann A, Pencina M, Wang TJ. Novel and conventional biomarkers for the prediction of incident cardiovascular events in the community. JAMA. 2009;302:49-57. doi: 10.1001/jama.2009.943.
  13. Wang TJ, Gona P, Larson MG, Tofler GH, Levy D, Newton-Cheh C, Jacques PF, Rifai N, Selhub J, Robins SJ, Benjamin EJ, D’Agostino RB, Vasan RS. Multiple biomarkers for the prediction of first major cardiovascular events and death. N Engl J Med. 2006; 355:2631-39. doi: 10.1056/NEJMoa055373.
  14. Wang TJ, Larson MG, Levy D, Benjamin EJ, Leip EP, Wolf PA, Omland T, Vasan RS. Plasma natriuretic peptide levels and the risk of cardiovascular events and death. N Engl J Med. 2004; 350:655-63. doi: 10.1056/NEJMoa031994.

Health Services and Disparities

  1. Mentias, A., Peterson, E. D., Keshvani, N., Kumbhani, D. J., Yancy, C. W., Morris, A. A., Allen, L. A., Girotra, S., Fonarow, G. C., Starling, R. C., Alvarez, P., Desai, M. Y., Cram, P., & Pandey, A. Achieving Equity in Hospital Performance Assessments Using Composite Race-Specific Measures of Risk-Standardized Readmission and Mortality Rates for Heart Failure. Circulation, 2023 147(15), 1121–1133. doi: 10.1161/CIRCULATIONAHA.122.061995
  2. Mentias, A., Desai, M. Y., Keshvani, N., Gillinov, A. M., Johnston, D., Kumbhani, D. J., Hirji, S. A., Sarrazin, M. V., Saad, M., Peterson, E. D., Mack, M. J., Cram, P., Girotra, S., Kapadia, S., Svensson, L., & Pandey, A. Ninety-Day Risk-Standardized Home Time as a Performance Metric for Cardiac Surgery Hospitals in the United States. Circulation, 2022 146(17), 1297–1309. doi: 10.1161/CIRCULATIONAHA.122.059496
  3. Keshvani, N., Mehta, A., Alger, H. M., Rutan, C., Williams, J., Zhang, S., Young, R., Alhanti, B., Chiswell, K., Greene, S. J., DeVore, A. D., Yancy, C. W., Fonarow, G. C., & Pandey, A. Heart failure quality of care and in-hospital outcomes during the COVID-19 pandemic: findings from the Get With The Guidelines-Heart Failure registry. European Journal of Heart Failure, 2022 24(6), 1117–1128. doi: 10.1002/ejhf.2484
  4. Mentias, A., Keshvani, N., Desai, M. Y., Kumbhani, D. J., Sarrazin, M. V., Gao, Y., Kapadia, S., Peterson, E. D., Mack, M., Girotra, S., & Pandey, A. (2022). Risk-Adjusted, 30-Day Home Time After Transcatheter Aortic Valve Replacement as a Hospital-Level Performance Metric. Journal of the American College of Cardiology, 2022 79(2), 132–144. doi: 10.1016/j.jacc.2021.10.038
  5. Pandey, A., Keshvani, N., Zhong, L., Mentz, R. J., Piña, I. L., DeVore, A. D., Yancy, C., Kitzman, D. W., & Fonarow, G. C. Temporal Trends and Factors Associated With Cardiac Rehabilitation Participation Among Medicare Beneficiaries With Heart Failure. JACC. Heart Failure, 2021 9(7), 471–481. doi: 10.1016/j.jchf.2021.02.006
  6. Pandey, A., Keshvani, N., Vaughan-Sarrazin, M. S., Gao, Y., Fonarow, G. C., Yancy, C., & Girotra, S.. Evaluation of Risk-Adjusted Home Time After Hospitalization for Heart Failure as a Potential Hospital Performance Metric. JAMA Cardiology, 2021 6(2), 169–176. doi: 10.1001/jamacardio.2020.4928
  7. Jacobs, J. A., Addo, D. K., Zheutlin, A. R., Derington, C. G., Essien, U. R., Navar, A. M., Hernandez, I., Lloyd-Jones, D. M., King, J. B., Rao, S., Herrick, J. S., Bress, A. P., & Pandey, A. Prevalence of Statin Use for Primary Prevention of Atherosclerotic Cardiovascular Disease by Race, Ethnicity, and 10-Year Disease Risk in the US: National Health and Nutrition Examination Surveys, 2013 to March 2020. JAMA Cardiology, 2023. e230228. Advance online publication. doi: 10.1001/jamacardio.2023.0228
  8. Segar, M. W., Hall, J. L., Jhund, P. S., Powell-Wiley, T. M., Morris, A. A., Kao, D., Fonarow, G. C., Hernandez, R., Ibrahim, N. E., Rutan, C., Navar, A. M., Stevens, L. M., & Pandey, A. Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure. JAMA Cardiology, 2022. 7(8), 844–854. doi: 10.1001/jamacardio.2022.1900
  9. Mentias, A., Desai, M. Y., Vaughan-Sarrazin, M. S., Rao, S., Morris, A. A., Hall, J. L., Menon, V., Hockenberry, J., Sims, M., Fonarow, G. C., Girotra, S., & Pandey, A. Community-Level Economic Distress, Race, and Risk of Adverse Outcomes After Heart Failure Hospitalization Among Medicare Beneficiaries. Circulation 2022. 145(2), 110–121. doi: 10.1161/CIRCULATIONAHA.121.057756
  10. Rao, S., Hughes, A., Segar, M. W., Wilson, B., Ayers, C., Das, S., Halm, E. A., & Pandey, A. Longitudinal Trajectories and Factors Associated With US County-Level Cardiovascular Mortality, 1980 to 2014. JAMA Network Open, 2021. 4(11), e2136022. doi: 10.1001/jamanetworkopen.2021.36022
  11. Rao, S., Segar, M. W., Bress, A. P., Arora, P., Vongpatanasin, W., Agusala, V., Essien, U. R., Correa, A., Morris, A. A., de Lemos, J. A., & Pandey, A. (2020). Association of Genetic West African Ancestry, Blood Pressure Response to Therapy, and Cardiovascular Risk Among Self-Reported Black Individuals in the Systolic Blood Pressure Reduction Intervention Trial (SPRINT). JAMA Cardiology, 2020 Nov 13;6(4):388-398. doi: 10.1001/jamacardio.2020.6566.

Implementation Science and Electronic Health Record

  1. Wang T. J. The Polypill at 20 - What Have We Learned?. NEJM, 2022 387(11), 1034–1036. doi: 10.1056/NEJMe2210020
  2. Rao, S., Jamal Siddiqi, T., Khan, M. S., Michos, E. D., Navar, A. M., Wang, T. J., Greene, S. J., Prabhakaran, D., Khera, A., & Pandey, A. Association of polypill therapy with cardiovascular outcomes, mortality, and adherence: A systematic review and meta-analysis of randomized controlled trials. Progress in Cardiovascular Diseases, 2022 .73, 48–55. doi: 10.1016/j.pcad.2022.01.005
  3. Pandey, A., MacNamara, J., Sarma, S., Velasco, F., Kannan, V., Willard, J., Skinner, C., Keller, T., Basit, M., Levine, B., & Willett, D. (2019). Rapid-Cycle Implementation of a Multi-Organization Registry for Heart Failure with Preserved Ejection Fraction Using Health Information Exchange Standards. Studies in health technology and informatics, 2019 264, 1560–1561. doi: 10.3233/SHTI190534
  4. Muñoz D, Uzoije P, Reynolds C, Miller R, Walkley D, Pappalardo S, Tousey P, Munro H, Gonzales H, Song W, White C, Blot WJ, Wang TJ. Polypill for Cardiovascular Disease Prevention in an Underserved Population. N Engl J Med. 2019;381:1114-1123. doi: 10.1056/NEJMoa1815359.
  5. Muñoz D, Wang TJ. The Polypill Revisited: Why We Still Need Population-Based Approaches in the Precision Medicine Era. Circulation. 2019;140:1776-1778. doi: 10.1161/CIRCULATIONAHA.119.043491.
  6. Arora P, Song Y, Dusek J, Plotnikoff G, Sabatine M, Cheng S... Azzahir A, Strachan SM, O'Neill DC, Wolf M, Harrell F, Newton-Cheh C, Wang TJ. Vitamin D Therapy in Individuals with Pre-Hypertension or Hypertension: The DAYLIGHT Trial. Circulation. 2015; 131:254-62 doi: 10.1161/CIRCULATIONAHA.114.011732.

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