Regression Analysis of cardiovascular disease risk markers in Nephrotic Syndrome
DOI:
https://doi.org/10.7439/ijbar.v6i10.2594Abstract
Cardiovascular disease is the leading cause of death for both men and women. Heart disease is not simple; many factors can contribute to a patients overall heart health. Though more and more testing is available to help physicians to get an accurate picture of a patients risks and treatment plan. Because of limited availability of instruments and financial assistance determination of each and every marker is difficult. We can assume the probable values of these markers by establishing regression equation. The objective of the study was to establish, regression equations among cardiovascular risk markers viz Albumin, TAC (Total antioxidant capacity), tHcy, Lp (a), LDL, HDL and TC.Downloads
Download data is not yet available.
Downloads
Published
2015-10-30
Issue
Section
Original Research Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeThe Effect of Open Access).
How to Cite
Regression Analysis of cardiovascular disease risk markers in Nephrotic Syndrome. (2015). International Journal of Biomedical and Advance Research, 6(10), 754-756. https://doi.org/10.7439/ijbar.v6i10.2594