Lubitz, Steven A.

Independent Susceptibility Markers for Atrial Fibrillation on Chromosome 4q25

Lubitz, S. A., Sinner, M. F., Lunetta, K. L., Makino, S., Pfeufer, A., Rahman, R., Veltman, C. E., Barnard, J., Bis, J. C., Danik, S. P., et al. (2010) · Circulation

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 156

Novel genetic markers associate with atrial fibrillation risk in Europeans and Japanese

Lubitz, S. A., Lunetta, K. L., Lin, H., Arking, D. E., Trompet, S., Li, G., Krijthe, B. P., Chasman, D. I., Barnard, J., Kleber, M. E., et al. (2014) · Journal of the American College of Cardiology

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 148

Twelve-single nucleotide polymorphism genetic risk score identifies individuals at increased risk for future atrial fibrillation and stroke

Tada, H., Shiffman, D., Smith, J. G., Sjögren, M., Lubitz, S. A., Ellinor, P. T., Louie, J. Z., Catanese, J. J., Engström, G., Devlin, J. J., et al. (2014) · Stroke

Atrial Fibrillation Management and OutcomesGenetic Associations and Epidemiology

Cited by 110

Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease

Katz, D. H., Tahir, U. A., Bick, A. G., Pampana, A., Ngo, D., Benson, M. D., Yu, Z., Robbins, J. M., Chen, Z.-Z., Cruz, D. E., et al. (2022) · Circulation

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 92

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

Radhakrishnan, A., Friedman, S. F., Khurshid, S., Ng, K., Batra, P., Lubitz, S. A., Philippakis, A. A., & Uhler, C. (2023) · Nature Communications

ECG Monitoring and AnalysisMachine Learning in Healthcare

Cited by 82

Multiancestry Genome-Wide Association Study of Aortic Stenosis Identifies Multiple Novel Loci in the Million Veteran Program

Small, A. M., Peloso, G. M., Linefsky, J., Aragam, J., Galloway, A., Tanukonda, V., Wang, L.-C., Yu, Z., Sunitha Selvaraj, M., Farber-Eger, E. H., et al. (2023) · Circulation

Genetic Associations and EpidemiologyCardiac Valve Diseases and Treatments

Cited by 76

Sex differences in inflammatory markers in patients hospitalized with COVID-19 infection: Insights from the MGH COVID-19 patient registry

Lau, E. S., McNeill, J. N., Paniagua, S. M., Liu, E. E., Wang, J. K., Bassett, I. V., Selvaggi, C. A., Lubitz, S. A., Foulkes, A. S., & Ho, J. E. (2021) · PLOS ONE

COVID-19 Clinical Research StudiesSepsis Diagnosis and Treatment

Cited by 65

Contemporary Trends in Oral Anticoagulant Prescription in Atrial Fibrillation Patients at Low to Moderate Risk of Stroke After Guideline-Recommended Change in Use of the CHADS 2 to the CHA 2 DS 2 -VASc Score for Thromboembolic Risk Assessment: Analysis From the National Cardiovascular Data Registry’s Outpatient Practice Innovation and Clinical Excellence Atrial Fibrillation Registry

Katz, D. F., Maddox, T. M., Turakhia, M., Gehi, A., O’Brien, E. C., Lubitz, S. A., Turchin, A., Doros, G., Lei, L., Varosy, P., et al. (2017) · Circulation: Cardiovascular Quality and Outcomes

Atrial Fibrillation Management and OutcomesVenous Thromboembolism Diagnosis and Management

Cited by 64

Wearable accelerometer-derived physical activity and incident disease

Khurshid, S., Weng, L.-C., Nauffal, V., Pirruccello, J. P., Venn, R. A., Al-Alusi, M. A., Benjamin, E. J., Ellinor, P. T., & Lubitz, S. A. (2022) · npj Digital Medicine

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 63

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications

Cardiac electrophysiology and arrhythmiasGenetic Associations and Epidemiology

Cited by 49

Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial

Cunningham, J. W., Singh, P., Reeder, C., Claggett, B., Marti-Castellote, P. M., Lau, E. S., Khurshid, S., Batra, P., Lubitz, S. A., Maddah, M., et al. (2024) · JAMA Cardiology

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 38

Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program

Cade, B. E., Lee, J., Sofer, T., Wang, H., Zhang, M., Chen, H., Gharib, S. A., Gottlieb, D. J., Guo, X., Lane, J. M., et al. (2021) · Genome Medicine

Obstructive Sleep Apnea ResearchGenetic Associations and Epidemiology

Cited by 33

Natural language processing for adjudication of heart failure in the electronic health record

Cunningham, J. W., Singh, P., Reeder, C., Lau, E. S., Khurshid, S., Wang, X., Ellinor, P. T., Lubitz, S. A., Batra, P., & Ho, J. E. (2023) · JACC: Heart Failure

Machine Learning in HealthcareHeart Failure Treatment and Management

Cited by 21

Natural language processing to adjudicate heart failure hospitalizations in global clinical trials

Marti-Castellote, P. M., Reeder, C., Claggett, B., Singh, P., Lau, E. S., Khurshid, S., Batra, P., Lubitz, S. A., Maddah, M., Vardeny, O., et al. (2025) · Circulation: Heart Failure

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 14

Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure

Khurshid, S., Friedman, S. F., Kany, S., D’Souza, V., Roshandelpoor, A., Kosyakovsky, L. B., Chitsazan, M., Cunningham, J. W., Singh, P., Lau, E. S., et al. (2026) · Circulation: Heart Failure

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 2