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Women and Ischemic Heart Disease: Recognition, Diagnosis and Management.

Korean circulation journal

Park SM, Merz CN.
PMID: 27482251
Korean Circ J. 2016 Jul;46(4):433-42. doi: 10.4070/kcj.2016.46.4.433. Epub 2016 Jul 21.

Cardiovascular disease is one of the most frequent causes of death in both males and females throughout the world. However, women exhibit a greater symptom burden, more functional disability, and a higher prevalence of nonobstructive coronary artery disease (CAD)...

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Park SM, Merz CN. Women and Ischemic Heart Disease: Recognition, Diagnosis and Management. Korean Circ J. 2016;46(4):433-42doi: 10.4070/kcj.2016.46.4.433.
Park, S. M., & Merz, C. N. (2016). Women and Ischemic Heart Disease: Recognition, Diagnosis and Management. Korean circulation journal, 46(4), 433-42. https://doi.org/10.4070/kcj.2016.46.4.433
Park, Seong-Mi, and Merz, C Noel Bairey. "Women and Ischemic Heart Disease: Recognition, Diagnosis and Management." Korean circulation journal vol. 46,4 (2016): 433-42. doi: https://doi.org/10.4070/kcj.2016.46.4.433
Park SM, Merz CN. Women and Ischemic Heart Disease: Recognition, Diagnosis and Management. Korean Circ J. 2016 Jul;46(4):433-42. doi: 10.4070/kcj.2016.46.4.433. Epub 2016 Jul 21. PMID: 27482251; PMCID: PMC4965421.
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Improved diagnosis and prognosis using Decisions Informed by Combining Entities (DICE): results from the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE).

Cardiovascular diagnosis and therapy

Doyle M, Pohost GM, Merz CN, Shaw LJ, Sopko G, Rogers WJ, Sharaf BL, Pepine CJ, Vido-Thompson DA, Rayarao G, Tauxe L, Kelsey SF, Mc Nair D, Biederman RW.
PMID: 24400205
Cardiovasc Diagn Ther. 2013 Dec;3(4):216-27. doi: 10.3978/j.issn.2223-3652.2013.10.07.

OBJECTIVES: To introduce an algorithmic approach to improve the interpretation of myocardial perfusion images in women with suspected myocardial ischemia.BACKGROUND: Gated single photon emission computed tomography (SPECT) and magnetic resonance (MR) myocardial perfusion imaging (MPI) approaches have relatively poor...

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Doyle M, Pohost GM, Merz CN, et al. Improved diagnosis and prognosis using Decisions Informed by Combining Entities (DICE): results from the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE). Cardiovasc Diagn Ther. 2013;3(4):216-27doi: 10.3978/j.issn.2223-3652.2013.10.07.
Doyle, M., Pohost, G. M., Merz, C. N., Shaw, L. J., Sopko, G., Rogers, W. J., Sharaf, B. L., Pepine, C. J., Vido-Thompson, D. A., Rayarao, G., Tauxe, L., Kelsey, S. F., Mc Nair, D., & Biederman, R. W. (2013). Improved diagnosis and prognosis using Decisions Informed by Combining Entities (DICE): results from the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE). Cardiovascular diagnosis and therapy, 3(4), 216-27. https://doi.org/10.3978/j.issn.2223-3652.2013.10.07
Doyle, Mark, et al. "Improved diagnosis and prognosis using Decisions Informed by Combining Entities (DICE): results from the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE)." Cardiovascular diagnosis and therapy vol. 3,4 (2013): 216-27. doi: https://doi.org/10.3978/j.issn.2223-3652.2013.10.07
Doyle M, Pohost GM, Merz CN, Shaw LJ, Sopko G, Rogers WJ, Sharaf BL, Pepine CJ, Vido-Thompson DA, Rayarao G, Tauxe L, Kelsey SF, Mc Nair D, Biederman RW. Improved diagnosis and prognosis using Decisions Informed by Combining Entities (DICE): results from the NHLBI-sponsored Women's Ischemia Syndrome Evaluation (WISE). Cardiovasc Diagn Ther. 2013 Dec;3(4):216-27. doi: 10.3978/j.issn.2223-3652.2013.10.07. PMID: 24400205; PMCID: PMC3878119.
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Left Ventricular Energy Model Predicts Adverse Events in Women With Suspected Myocardial Ischemia: Results From The NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE) Study.

Cardiovascular diagnosis and therapy

Doyle M, Weinberg N, Pohost GM, Merz CN, Shaw LJ, Sopko G, Fuisz A, Rogers WJ, Walsh EG, Johnson BD, Sharaf BL, Pepine CJ, Mankad S, Reis SE, Rayarao G, Vido DA, Bittner V, Tauxe L, Olson MB, Kelsey SF, Biederman RW.
PMID: 24015377
Cardiovasc Diagn Ther. 2013 Jun;3(2):64-72. doi: 10.3978/j.issn.2223-3652.2013.05.02.

OBJECTIVES: To assess the prognostic value of a left ventricular energy-model in women with suspected myocardial ischemia.BACKGROUND: The prognostic value of internal energy utilization (IEU) of the left ventricle in women with suspected myocardial ischemia is unknown.METHODS: Women (n=227,...

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Doyle M, Weinberg N, Pohost GM, et al. Left Ventricular Energy Model Predicts Adverse Events in Women With Suspected Myocardial Ischemia: Results From The NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE) Study. Cardiovasc Diagn Ther. 2013;3(2):64-72doi: 10.3978/j.issn.2223-3652.2013.05.02.
Doyle, M., Weinberg, N., Pohost, G. M., Merz, C. N., Shaw, L. J., Sopko, G., Fuisz, A., Rogers, W. J., Walsh, E. G., Johnson, B. D., Sharaf, B. L., Pepine, C. J., Mankad, S., Reis, S. E., Rayarao, G., Vido, D. A., Bittner, V., Tauxe, L., Olson, M. B., Kelsey, S. F., & Biederman, R. W. (2013). Left Ventricular Energy Model Predicts Adverse Events in Women With Suspected Myocardial Ischemia: Results From The NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE) Study. Cardiovascular diagnosis and therapy, 3(2), 64-72. https://doi.org/10.3978/j.issn.2223-3652.2013.05.02
Doyle, Mark, et al. "Left Ventricular Energy Model Predicts Adverse Events in Women With Suspected Myocardial Ischemia: Results From The NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE) Study." Cardiovascular diagnosis and therapy vol. 3,2 (2013): 64-72. doi: https://doi.org/10.3978/j.issn.2223-3652.2013.05.02
Doyle M, Weinberg N, Pohost GM, Merz CN, Shaw LJ, Sopko G, Fuisz A, Rogers WJ, Walsh EG, Johnson BD, Sharaf BL, Pepine CJ, Mankad S, Reis SE, Rayarao G, Vido DA, Bittner V, Tauxe L, Olson MB, Kelsey SF, Biederman RW. Left Ventricular Energy Model Predicts Adverse Events in Women With Suspected Myocardial Ischemia: Results From The NHLBI-Sponsored Women's Ischemia Syndrome Evaluation (WISE) Study. Cardiovasc Diagn Ther. 2013 Jun;3(2):64-72. doi: 10.3978/j.issn.2223-3652.2013.05.02. PMID: 24015377; PMCID: PMC3763744.
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Use of bio-informatics assessment schema (BIAS) to improve diagnosis and prognosis of myocardial perfusion data: results from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE).

Cardiovascular diagnosis and therapy

Doyle M, Pohost GM, Bairey Merz CN, Shaw LJ, Sopko G, Rogers WJ, Sharaf BL, Pepine CJ, Thompson DV, Rayarao G, Tauxe L, Kelsey SF, Biederman RW.
PMID: 27747165
Cardiovasc Diagn Ther. 2016 Oct;6(5):424-431. doi: 10.21037/cdt.2016.03.11.

BACKGROUND: We introduce an algorithmic approach to optimize diagnostic and prognostic value of gated cardiac single photon emission computed tomography (SPECT) and magnetic resonance (MR) myocardial perfusion imaging (MPI) modalities in women with suspected myocardial ischemia. The novel approach:...

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Doyle M, Pohost GM, Bairey Merz CN, et al. Use of bio-informatics assessment schema (BIAS) to improve diagnosis and prognosis of myocardial perfusion data: results from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE). Cardiovasc Diagn Ther. 2016;6(5):424-431doi: 10.21037/cdt.2016.03.11.
Doyle, M., Pohost, G. M., Bairey Merz, C. N., Shaw, L. J., Sopko, G., Rogers, W. J., Sharaf, B. L., Pepine, C. J., Thompson, D. V., Rayarao, G., Tauxe, L., Kelsey, S. F., & Biederman, R. W. (2016). Use of bio-informatics assessment schema (BIAS) to improve diagnosis and prognosis of myocardial perfusion data: results from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE). Cardiovascular diagnosis and therapy, 6(5), 424-431. https://doi.org/10.21037/cdt.2016.03.11
Doyle, Mark, et al. "Use of bio-informatics assessment schema (BIAS) to improve diagnosis and prognosis of myocardial perfusion data: results from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE)." Cardiovascular diagnosis and therapy vol. 6,5 (2016): 424-431. doi: https://doi.org/10.21037/cdt.2016.03.11
Doyle M, Pohost GM, Bairey Merz CN, Shaw LJ, Sopko G, Rogers WJ, Sharaf BL, Pepine CJ, Thompson DV, Rayarao G, Tauxe L, Kelsey SF, Biederman RW. Use of bio-informatics assessment schema (BIAS) to improve diagnosis and prognosis of myocardial perfusion data: results from the NHLBI-sponsored women's ischemia syndrome evaluation (WISE). Cardiovasc Diagn Ther. 2016 Oct;6(5):424-431. doi: 10.21037/cdt.2016.03.11. PMID: 27747165; PMCID: PMC5059395.
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Showing 1 to 4 of 4 entries