Dr. Alhanti does collaborative clinical research with observation data, primarily focused in cardiology and musculoskeletal disease, but also has an interest in environmental health issues, including air quality and climate-related exposures. She runs a team of biostatisticians who work with the Duke Health system to improve patient care and outcomes through the Population Health Management Office. She teaches a master level coding course focused on the R language.
- PhD, 2016, Emory University
- Multifactorial Multifactorial spatiotemporal analyses to evaluate environmental triggers and patient-level clinical characteristics of severe asthma exacerbations in children awarded by NIH 2019-2021
- Environmental pesticide exposure and respiratory outcomes in women and children awarded by NIEHS 2016-2019
Alhanti B, van Wendel de Joode B, Soto Martinez M, et al. Environmental exposures contribute to respiratory and allergic symptoms among women living in the banana growing regions of Costa Rica. Occupational and Environmental Medicine 2022;79:469-476. https://doi.org/10.1136/oemed-2021-107611
George, S., Giczewska, A., Alhanti, B., Lutz., A., Shanley, E., Thigpen, C., Bhavsar, N. (2021). Predicting recurrent care seeking of physical therapy for musculoskeletal pain conditions. Pain Medicine. https://doi.org/10.1093/pm/pnab154
Luchristt, D., Meekins, R., Zhao, C., Grotegut, C., Siddiqui, N., Alhanti, B., Jelovsek, E. (2022). Risk of obstetric anal sphincter injuries at the time of admission for delivery: a clinical prediction model. BJOG: An International Journal of Obstetrics and Gynecology. https://doi.org/10.1111/1471-0528.17239
Alhanti, B., Woo, M., Lusk, S., Dunston, F., Blackwelder, S., Lytle, K. S., Goldstein, B. A., & Bedoya, A. (2020). Evaluation of ml-based clinical decision support tool to replace an existing tool in an academic health system: Lessons learned. Journal of Personalized Medicine. https://doi.org/10.3390/jpm10030104
Shah A, Mentz RJ, Sun JL, Rao VN, Alhanti B, Blumer V, Starling R, Butler J, Greene SJ. Emergency Department Visits Versus Hospital Readmissions Among Patients Hospitalized for Heart Failure. J Card Fail. 2022 Jun;28(6):916-923.doi: 10.1016/j.cardfail.2021.11.025. Epub 2022 Jan 3. PMID: 34987009.
Joundi RA, Sun JL, Xian Y, Alhanti B, Nogueira RG, Bhatt DL, Fonarow GC, Saver J, Schwamm LH, Smith EE. Association Between Endovascular Therapy Time to Treatment and Outcomes in Patients With Basilar Artery Occlusion. Circulation. 2022 Mar 22;145(12):896-905. doi: 10.1161/CIRCULATIONAHA.121.056554. Epub 2022 Jan 20. PMID: 35050693.
Fordyce CB, Hill CL, Mark DB, Alhanti B, Pellikka PA, Hoffmann U, Patel MR, Douglas PS; PROMISE Investigators. Physician judgement in predicting obstructive coronary artery disease and adverse events in chest pain patients. Heart. 2022 May 12;108(11):860-867. doi: 10.1136/heartjnl-2021-320275. PMID: 35110385; PMCID: PMC9106875.
Keshvani N, Mehta A, Alger HM, Rutan C, Williams J, Zhang S, Young R, Alhanti B, Chiswell K, Greene SJ, DeVore AD, Yancy CW, Fonarow GC, 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. Eur J Heart Fail. 2022 Jun;24(6):1117-1128. doi: 10.1002/ejhf.2484. Epub 2022 Apr 6. PMID: 35289038; PMCID: PMC9087396.
Lowenstern A, Alexander KP, Pagidipati NJ, Hill CL, Pellikka PA, Cooper LS, Alhanti B, Hoffmann U, Mark DB, Douglas PS. Presenting Symptoms in Patients Undergoing Coronary Artery Disease Evaluation: Association With Noninvasive Test Results and Clinical Outcomes in the PROMISE Trial. Circ Cardiovasc Qual Outcomes. 2022 May;15(5):e008298. doi: 10.1161/CIRCOUTCOMES.121.008298. Epub 2022 Apr 4. PMID: 35369715; PMCID: PMC9117448.
Rasmussen LD, Fordyce CB, Nissen L, Hill CL Jr, Alhanti B, Hoffmann U, Udelson J, Bøttcher M, Douglas PS, Winther S. The PROMISE Minimal Risk Score Improves Risk Classification of Symptomatic Patients With Suspected CAD. JACC Cardiovasc Imaging. 2022 Aug;15(8):1442-1454. doi: 10.1016/j.jcmg.2022.03.009. Epub 2022 May 11. PMID: 35926903.
BIOSTAT 721: Introduction to Statistical Programming I