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Items: 1 to 20 of 104

1.

The Predictive Role of Serum Triglyceride to High-Density Lipoprotein Cholesterol Ratio According to Renal Function in Patients with Acute Myocardial Infarction.

Kim JS, Kim W, Woo JS, Lee TW, Ihm CG, Kim YG, Moon JY, Lee SH, Jeong MH, Jeong KH; Korea Acute Myocardial Infarction Registry Investigators..

PLoS One. 2016 Oct 27;11(10):e0165484. doi: 10.1371/journal.pone.0165484.

2.

Association of Risk Estimates of Three Different Cardiovascular Risk Assessment Tools with Carotid Intima Media Thickness in Patients with Type 2 Diabetes.

Herath HM, Weerarathna TP, Dulanjalee RB, Jayawardana MR, Edirisingha UP, Rathnayake M.

J Clin Diagn Res. 2016 Jul;10(7):OC09-12. doi: 10.7860/JCDR/2016/19356.8087.

3.

Carotid Stiffness: A Novel Cerebrovascular Disease Risk Factor.

van Sloten TT, Stehouwer CD.

Pulse (Basel). 2016 Jul;4(1):24-7. doi: 10.1159/000445354. Review.

4.

Prediction of cardiovascular disease from the early stages of life: A forgotten issue?

Perez Fernandez GA.

Qatar Med J. 2016 Jun 15;2016(1):6. doi: 10.5339/qmj.2016.6. No abstract available.

5.

Risk assessment in the prevention of cardiovascular disease in low-resource settings.

Ofori SN, Odia OJ.

Indian Heart J. 2016 May-Jun;68(3):391-8. doi: 10.1016/j.ihj.2015.07.004. Review.

6.

Preferred Features of E-Mental Health Programs for Prevention of Major Depression in Male Workers: Results From a Canadian National Survey.

Wang J, Lam RW, Ho K, Attridge M, Lashewicz BM, Patten SB, Marchand A, Aiken A, Schmitz N, Gundu S, Rewari N, Hodgins D, Bulloch A, Merali Z.

J Med Internet Res. 2016 Jun 6;18(6):e132. doi: 10.2196/jmir.5685.

7.

Update on cardiovascular disease in lupus.

Lewandowski LB, Kaplan MJ.

Curr Opin Rheumatol. 2016 Sep;28(5):468-76. doi: 10.1097/BOR.0000000000000307.

PMID:
27227346
8.

Wide Variation in Absolute Cardiovascular Risk Assessment in Aboriginal and Torres Strait Islander People with Type 2 Diabetes.

Vasant BR, Matthews V, Burgess CP, Connors CM, Bailie RS.

Front Public Health. 2016 Mar 8;4:37. doi: 10.3389/fpubh.2016.00037.

9.

A Novel Risk Score to the Prediction of 10-year Risk for Coronary Artery Disease Among the Elderly in Beijing Based on Competing Risk Model.

Liu L, Tang Z, Li X, Luo Y, Guo J, Li H, Liu X, Tao L, Yan A, Guo X.

Medicine (Baltimore). 2016 Mar;95(11):e2997. doi: 10.1097/MD.0000000000002997.

10.

Repeat Cardiovascular Risk Assessment after Four Years: Is There Improvement in Risk Prediction?

Chamnan P, Simmons RK, Sharp SJ, Khaw KT, Wareham NJ, Griffin SJ.

PLoS One. 2016 Feb 19;11(2):e0147417. doi: 10.1371/journal.pone.0147417.

11.

A method to construct a points system to predict cardiovascular disease considering repeated measures of risk factors.

Palazón-Bru A, Carbayo-Herencia JA, Vigo MI, Gil-Guillén VF.

PeerJ. 2016 Feb 15;4:e1673. doi: 10.7717/peerj.1673.

12.
13.

Imaging-based characterization of cardiometabolic phenotypes focusing on whole-body MRI--an approach to disease prevention and personalized treatment.

Gatidis S, Schlett CL, Notohamiprodjo M, Bamberg F.

Br J Radiol. 2016;89(1059):20150829. doi: 10.1259/bjr.20150829. Review.

PMID:
26780657
14.

Methodological Challenges in Estimating Trends and Burden of Cardiovascular Disease in Sub-Saharan Africa.

Kariuki JK, Stuart-Shor EM, Leveille SG, Hayman LL.

Cardiol Res Pract. 2015;2015:921021. doi: 10.1155/2015/921021. Review.

15.

Global Cardiovascular Risk Assessment by Family Physicians in Suez Canal University-Family Medicine Centers-Egypt.

Nour-Eldein H, Abdelsalam SA, Nasr GM, Abdelwahed HA.

J Family Med Prim Care. 2013 Oct-Dec;2(4):365-70. doi: 10.4103/2249-4863.123919.

16.

Elevated Circulating Interleukin 33 Levels in Stable Renal Transplant Recipients at High Risk for Cardiovascular Events.

Mansell H, Soliman M, Elmoselhi H, Shoker A.

PLoS One. 2015 Nov 6;10(11):e0142141. doi: 10.1371/journal.pone.0142141.

17.

RNY-derived small RNAs as a signature of coronary artery disease.

Repetto E, Lichtenstein L, Hizir Z, Tekaya N, Benahmed M, Ruidavets JB, Zaragosi LE, Perret B, Bouchareychas L, Genoux A, Lotte R, Ruimy R, Ferrières J, Barbry P, Martinez LO, Trabucchi M.

BMC Med. 2015 Oct 8;13:259. doi: 10.1186/s12916-015-0489-y.

18.

Validation of a new predictive risk model: measuring the impact of the major modifiable risks of death for patients and populations.

Lim SS, Carnahan E, Nelson EC, Gillespie CW, Mokdad AH, Murray CJ, Fisher ES.

Popul Health Metr. 2015 Oct 1;13:27. doi: 10.1186/s12963-015-0059-8.

20.

Applicability of the Existing CVD Risk Assessment Tools to Type II Diabetics in Oman: A Review.

Al-Rawahi A, Lee P.

Oman Med J. 2015 Sep;30(5):315-9. doi: 10.5001/omj.2015.65. Review.

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