Journal articles on the topic 'Heart risk'

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1

Davies, M. K. "Cardiac risk factors." Heart 87, no. 1 (January 1, 2002): 5. http://dx.doi.org/10.1136/heart.87.1.5.

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2

ROBSON, J. "Predicting and reducing cardiovascular risk." Heart 85, no. 5 (May 1, 2001): 487–88. http://dx.doi.org/10.1136/heart.85.5.487.

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3

Illien, S. "Atrial fibrillation: relation between clinical risk factors and transoesophageal echocardiographic risk factors for thromboembolism." Heart 89, no. 2 (February 1, 2003): 165–68. http://dx.doi.org/10.1136/heart.89.2.165.

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4

Weiss, Edward P. "Heart Failure Risk." Circulation: Heart Failure 7, no. 4 (July 2014): 549–51. http://dx.doi.org/10.1161/circheartfailure.114.001459.

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5

McGowan, J. H. "Hibernating myocardium: high or low risk?" Heart 90, no. 3 (February 13, 2004): 237–38. http://dx.doi.org/10.1136/heart.2003.021006.

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6

Pepper, J. R. "Risk assessment in coronary artery surgery." Heart 89, no. 1 (January 1, 2003): 1–2. http://dx.doi.org/10.1136/heart.89.1.1.

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7

lakshmi, V. S. Bhagya, M. V. Sailaja, and Vijitha. "The Risk Factor Atherosclerosis in Ageing for Heart Attacks." International Journal of Integrative Medical Sciences 2, no. 7 (July 31, 2015): 140–43. http://dx.doi.org/10.16965/ijims.2015.120.

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8

Timmis, A. "Coronary disease: Acute coronary syndromes: risk stratification." Heart 83, no. 2 (February 1, 2000): 241–46. http://dx.doi.org/10.1136/heart.83.2.241.

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9

Wong, S. H. "Assessing the risk of sudden cardiac death." Heart 86, no. 6 (December 1, 2001): 624–25. http://dx.doi.org/10.1136/heart.86.6.624.

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10

Liverpool, Layal. "Predicting heart disease risk." New Scientist 244, no. 3259 (December 2019): 8. http://dx.doi.org/10.1016/s0262-4079(19)32284-5.

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11

Mechcatie, Elizabeth. "FDA Reviewing Heart Risk." Caring for the Ages 14, no. 2 (February 2013): 8. http://dx.doi.org/10.1016/j.carage.2013.01.041.

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12

Uijl, Alicia, Stefan Koudstaal, Ilonca Vaartjes, Jolanda M. A. Boer, W. M. Monique Verschuren, Yvonne T. van der Schouw, Folkert W. Asselbergs, Arno W. Hoes, and Ivonne Sluijs. "Risk for Heart Failure." JACC: Heart Failure 7, no. 8 (August 2019): 637–47. http://dx.doi.org/10.1016/j.jchf.2019.03.009.

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13

ROBINSON, K. "Homocysteine, B vitamins, and risk of cardiovascular disease." Heart 83, no. 2 (February 1, 2000): 127–30. http://dx.doi.org/10.1136/heart.83.2.127.

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14

Wallis, E. J. "CARDIOVASCULAR AND CORONARY RISK ESTIMATION IN HYPERTENSION MANAGEMENT." Heart 88, no. 3 (September 1, 2002): 306–12. http://dx.doi.org/10.1136/heart.88.3.306.

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15

DURRINGTON, P. N. "Methods for the prediction of coronary heart disease risk." Heart 85, no. 5 (May 1, 2001): 489–90. http://dx.doi.org/10.1136/heart.85.5.489.

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16

Malik, I. S. "Cost effectiveness of ramipril treatment for cardiovascular risk reduction." Heart 85, no. 5 (May 1, 2001): 539–43. http://dx.doi.org/10.1136/heart.85.5.539.

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17

Menotti, A. "Coronary risk factors predicting early and late coronary deaths." Heart 89, no. 1 (January 1, 2003): 19–24. http://dx.doi.org/10.1136/heart.89.1.19.

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18

Ritz, E. "Minor renal dysfunction: an emerging independent cardiovascular risk factor." Heart 89, no. 9 (September 1, 2003): 963–64. http://dx.doi.org/10.1136/heart.89.9.963.

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19

WORCESTER, SHARON. "Risk Factors, Not Race, May Reveal Heart Risks." Family Practice News 42, no. 2 (February 2012): 3. http://dx.doi.org/10.1016/s0300-7073(12)70078-6.

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20

WORCESTER, SHARON. "Risk Factors, Not Race, Determine Lifetime Heart Risks." Internal Medicine News 45, no. 3 (February 2012): 24. http://dx.doi.org/10.1016/s1097-8690(12)70143-9.

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21

Matthews, Jennifer Cowger, Todd F. Dardas, and Keith D. Aaronson. "Heart transplantation: Assessment of heart failure mortality risk." Current Heart Failure Reports 4, no. 2 (June 2007): 103–9. http://dx.doi.org/10.1007/s11897-007-0008-3.

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22

Omoto, Tadashi, Kazutomo Minami, Dietmar Böthig, Ulrich Schütt, Gero Tenderich, Stephan Wlost, and Reiner Körfer. "Risk Factor Analysis of Orthotopic Heart Transplantation." Asian Cardiovascular and Thoracic Annals 11, no. 1 (March 2003): 33–36. http://dx.doi.org/10.1177/021849230301100109.

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From March 1989 to December 1999, 1,013 heart transplantations were carried out in this center. Univariate analysis of potential risk factors for early death was followed by stepwise logistic regression to determine independent risk factors. Long-term results were assessed by the Kaplan-Meier method. Multivariate comparisons of long-term results were performed using Cox's proportional hazards model. Early mortality was 8.6%. Actuarial survival was 78.1%, 69.4%, and 53.1% at 1, 5, and 10 years, respectively. Mean total ischemic time was 194 minutes. Independent risk factors of early mortality were female recipient, donor age over 50 years, and ischemic heart disease in the recipient. The precise mechanism of the increased early mortality in female recipients should be studied in the future. Although older donor age was a predictor of early mortality, because of the donor shortage, older hearts should not be excluded from the donor pool. Survival was better in patients with dilative cardiomyopathy than in those with ischemic heart disease.
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23

Firoozi, S. "Risk of competitive sport in young athletes with heart disease." Heart 89, no. 7 (July 1, 2003): 710–14. http://dx.doi.org/10.1136/heart.89.7.710.

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24

McKenna, W. J. "Hypertrophic cardiomyopathy: management, risk stratification, and prevention of sudden death." Heart 87, no. 2 (February 1, 2002): 169–76. http://dx.doi.org/10.1136/heart.87.2.169.

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25

Shakhnoza, Iskandarova, and Amilova Asalya. "PREVENTION OF CORONARY HEART DISEASE." American Journal of Medical Sciences and Pharmaceutical Research 04, no. 04 (April 1, 2022): 19–21. http://dx.doi.org/10.37547/tajmspr/volume04issue04-05.

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Primary prevention, based on healthy lifestyle habits that prevent the emergence of risk factors, is the preferred method of reducing cardiovascular risk. Reducing the prevalence of obesity is the most urgent task, and it is pleiotropic in that it affects blood pressure, lipid profile, glucose metabolism, inflammation, progression of atherothrombotic disease. Physical activity also improves several risk factors, with the added potential to lower heart rate.
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26

Belanger, Michael, Luke Tan, and Carin Wittnich. "Does young age really put the heart at risk?" Canadian Journal of Physiology and Pharmacology 95, no. 10 (October 2017): 1177–82. http://dx.doi.org/10.1139/cjpp-2017-0072.

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Despite significant advances in the management and treatment of heart disease in children, there continue to be patients who have worse outcomes than might be expected. A number of risk factors that could be responsible have been identified. Evidence-based findings will be reviewed, including whether young age and (or) reduced body weight exacerbate these responses. For example, newborn children undergoing congenital cardiac surgery are known to have worse outcomes than older children. Evidence exists that newborn hearts do not tolerate ischemia as well as adult hearts, developing irreversible injury sooner and exhibiting at-risk metabolic profiles. As well, in response to the administration of heparin, elevations in free fatty acids occur during congenital heart surgery in children, which can have detrimental effects on the heart. Furthermore, myocardial energetic state has also been suggested to impact outcomes. Unfavourable energetic profiles were correlated to lower body weights in the same age healthy newborn piglet model. Newborn children suffering from congenital heart disease, with lower body weights, also had lower myocardial energetic state and this correlated with longer postoperative ventilatory support as well as a trend to longer intensive care unit stay. These findings imply that unfavourable myocardial metabolic profiles could contribute to postoperative complications.
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27

Borer, J. S. "Heart rate: from risk marker to risk factor." European Heart Journal Supplements 10, Suppl F (August 1, 2008): F2—F6. http://dx.doi.org/10.1093/eurheartj/sun019.

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28

Rush, J., M. Johnson, T. Kao, J. Patel, F. Liou, Z. Yu, M. Luu, et al. "Risk of High Risk Donors in Heart Transplantation." Transplantation 98 (July 2014): 424. http://dx.doi.org/10.1097/00007890-201407151-01404.

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29

Bloch, Michael J. "Genetic risk scores and coronary heart disease risk." Journal of the American Society of Hypertension 9, no. 8 (August 2015): 580–81. http://dx.doi.org/10.1016/j.jash.2015.06.010.

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30

PELL, J. P. "Does smoking cessation reduce the risk of restenosis following coronary angioplasty?" Heart 84, no. 3 (September 1, 2000): 233–34. http://dx.doi.org/10.1136/heart.84.3.233.

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31

Jones, A. F. "Comparative accuracy of cardiovascular risk prediction methods in primary care patients." Heart 85, no. 1 (January 1, 2001): 37–43. http://dx.doi.org/10.1136/heart.85.1.37.

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32

van Geel, P. P. "Increased risk for ischaemic events is related to combined RAS polymorphism." Heart 85, no. 4 (April 1, 2001): 458–62. http://dx.doi.org/10.1136/heart.85.4.458.

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33

Petrou, M. "The risk model of choice for coronary surgery in the UK." Heart 89, no. 1 (January 1, 2003): 98–99. http://dx.doi.org/10.1136/heart.89.1.98.

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34

Almutairi, Emad Ayidh, Naif Mufleh Alshahrani, Monahi Nasser Alyami, Manal Fnaitel Alanazi, Salwa Fnaitel Alanazi, Mohammad Saeed Abdulrahman Alamri, Abdulmohsen Obaysan Alotaibi, Ohoud Abdulrahman Al-Luhaidan, and Asama Mathkar Alqahtani. "Prevalence of Cardiovascular Disease Risk." International Journal Of Pharmaceutical And Bio-Medical Science 02, no. 12 (December 9, 2022): 592–96. http://dx.doi.org/10.47191/ijpbms/v2-i12-03.

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At the worldwide level, heart disease is the leading cause of death. The primary goals of this study were to look into cardiac risk variables in datasets available on Kaggle. The data included 303 people, 138 of whom had cardiac disease and 165 of whom did not. Age, gender, chest pain, resting blood pressure, cholesterol level, fast blood sugar, electrocardiogram at rest, maximum heart rate during the stress test, angina during exercise, old peak, slope of the ST segment, result of the blood flow observed with radioactive dye, and number of main blood vessels colored by the radioactive dye were all included in the dataset. Descriptive analysis includes means and standard deviations for non-classified variables, as well as frequencies and percentages for categorized variables. The independent T test was used to assess the associations between variables. If 0.05, significance was considered. Except for cholesterol and rapid blood sugar, all of the variables listed above were found to be strongly linked with heart disease. When rapid blood sugar and cholesterol readings are combined, they should be evaluated with caution due to their participation as risk factors for cardiovascular disease.
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35

&NA;. "Walking and Heart Disease Risk." Nurse Practitioner 27, no. 2 (February 2002): 58. http://dx.doi.org/10.1097/00006205-200202000-00035.

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36

Thomson, Patricia, Catherine A. Niven, David F. Peck, and Kate Howie. "Coronary Heart Disease Risk Factors." Journal of Cardiovascular Nursing 28, no. 6 (2013): 550–62. http://dx.doi.org/10.1097/jcn.0b013e31826341ae.

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37

Moran, Marguerite T., Victor E. Mazzocco, W. Guy Fiscus, and Edward P. Koza. "Coronary Heart Disease Risk Assessment." American Journal of Preventive Medicine 5, no. 6 (November 1989): 330–36. http://dx.doi.org/10.1016/s0749-3797(18)31053-5.

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38

&NA;. "Calcium Supplements and Heart Risk." Clinical Nutrition INSIGHT 36, no. 10 (October 2010): 5. http://dx.doi.org/10.1097/01.nmd.0000389769.81211.d1.

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39

Kenchaiah, Satish, Jagat Narula, and Ramachandran S. Vasan. "Risk factors for heart failure." Medical Clinics of North America 88, no. 5 (September 2004): 1145–72. http://dx.doi.org/10.1016/j.mcna.2004.04.016.

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40

WACHTER, KERRI. "Heart Risk Overlooked in Psoriasis." Skin & Allergy News 39, no. 11 (November 2008): 2. http://dx.doi.org/10.1016/s0037-6337(08)70805-2.

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41

Levy, Wayne C., and Inder S. Anand. "Heart Failure Risk Prediction Models." JACC: Heart Failure 2, no. 5 (October 2014): 437–39. http://dx.doi.org/10.1016/j.jchf.2014.05.006.

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42

Gottdiener, John S., and Alison E. Fohner. "Risk Prediction in Heart Failure." JACC: Heart Failure 8, no. 1 (January 2020): 22–24. http://dx.doi.org/10.1016/j.jchf.2019.08.015.

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43

Collins, Sean P., and Peter S. Pang. "ACUTE Heart Failure Risk Stratification." Circulation 139, no. 9 (February 26, 2019): 1157–61. http://dx.doi.org/10.1161/circulationaha.118.038472.

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44

Torpy, J. M. "Risk Factors for Heart Disease." JAMA: The Journal of the American Medical Association 290, no. 7 (August 20, 2003): 980. http://dx.doi.org/10.1001/jama.290.7.980.

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45

Stephenson, Joan. "Heart Risk in South Asians." JAMA 301, no. 7 (February 18, 2009): 712. http://dx.doi.org/10.1001/jama.2009.167.

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46

Friedrich, M. J. "Genes for Heart Disease Risk." JAMA 305, no. 15 (April 20, 2011): 1527. http://dx.doi.org/10.1001/jama.2011.476.

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47

Hildreth, Carolyn J. "Risk Factors for Heart Disease." JAMA 301, no. 20 (May 27, 2009): 2176. http://dx.doi.org/10.1001/jama.301.20.2176.

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48

Torpy, Janet M. "Coronary Heart Disease Risk Factors." JAMA 302, no. 21 (December 2, 2009): 2388. http://dx.doi.org/10.1001/jama.302.21.2388.

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49

Hoeg, Jeffrey M. "Evaluating Coronary Heart Disease Risk." JAMA 277, no. 17 (May 7, 1997): 1387. http://dx.doi.org/10.1001/jama.1997.03540410065032.

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50

Singh, R. B., C. Kartik, K. Otsuka, D. Pella, and J. Pella. "Brain-heart connection and the risk of heart attack." Biomedicine & Pharmacotherapy 56 (November 2002): 257–65. http://dx.doi.org/10.1016/s0753-3322(02)00300-1.

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