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In episode 72, we find out what Mike has really been doing for the last 3 months by testing his Vitamin D level and finding it to be abnormally high. This leads us, along with our always charming guest Dr. Tina Korownyk, to a discussion of the proper use of Vitamin D levels and what they really mean. At the end of the podcast James and Mike both agree to do podcasts more often than every three months.
Show notes
1) Different reference Vitamin D levels
2) “the most-ordered hormone assay in the United States”
J Clin Endocrinol Metab 2009;94:1092–3
3) Vitamin D levels
Calgary
Am J Clin Nutr 2008;88:558S-564s
4) Multiple health outcomes and Vitamin D levels – nonvertebral fractures, hip fractures, periodontal disease, balance, colon cancer, falls
Arch Intern Med 2009;169:551-61
“whether an individual is found to have low or normal vitamin D status is a function of the laboratory used”
J Clin Endocrin Metab 2004;89:3152-7
5) Variability
Differences between the mean values of labs was 38%
Mean relative uncertainties between labs were 19.4%, 16.0%, and 11.3%
Ost Int 2009 – 9 September 2009 –Online
Within patient variability – 15-20%
{ 4 comments… read them below or add one }
Welcome back!
Thanks Dave – good to be back.
Welcome back : Just adding some in your comment on cholesterol. Dr. Krumholz [director with Center for Medical Service (CMS) director in USA] released most recent analysis of cholesterol lowering tx for primary prevention. Practially he again confirmed your perspective. No point of checking cholesterol constantly and targeting the LDL goal, just give statins and forget about it.
Optimizing Statin Treatment for Primary Prevention of Coronary Artery Disease
Rodney A. Hayward, MD; Harlan M. Krumholz, MD; Donna M. Zulman, MD; Justin W. Timbie, PhD; and Sandeep Vijan, MD, MSc
Background: Although treating to lipid targets (“treat to target”) is widely recommended for coronary artery disease (CAD) prevention, some have advocated administering fixed doses of statins based on a person’s estimated net benefit (“tailored treatment”).
Objective: To examine how a tailored treatment approach to statin therapy compares with a treat-to-target approach.
Design: Simulated model of population-level effects of treat-to¬target and tailored treatment approaches to statin therapy.
Data Sources: Statin trials from 1994 to 2009 and nationally rep¬resentative CAD risk factor data.
Target Population: U.S. persons aged 30 to 75 years with no history of myocardial infarction.
Time Horizon: Lifetime effects of 5 years of treatment.
Perspective: Societal and patient.
Intervention: Tailored treatment based on a person’s 5-year CAD risk (simvastatin, 40 mg, for 5% to 15% CAD risk and atorvastatin, 40 mg, for CAD risk >15%) versus treat-to-target approaches that escalate statin dose per National Cholesterol Education Program [NCEP] III guidelines (including an intensive approach that advances treatment whenever intensification is optional by NCEP III criteria).
Results of Base-Case Analysis: Compared with the standard NCEP III approach, the intensive NCEP III approach treated 15 million more persons and saved 570 000 more QALYs over 5 years. The tailored strategy treated a similar number of persons, as did the intensive NCEP III approach, but saved 500 000 more QALYs and treated fewer persons with high-dose statins.
Results of Sensitivity Analysis: No circumstances were found in which a treat-to-target approach was preferable to tailored treatment.
Limitation: Model assumptions were based on available clinical data, which included few persons 75 years or older.
Conclusion: A tailored treatment strategy prevents more CAD events while treating fewer persons with high-dose statins than low-density lipoprotein cholesterol–based target approaches. Re¬sults were robust, even with assumptions favoring a treat-to¬target approach.
Primary Funding Source: Department of Veteran Affairs Health Services Research & Development Service’s Quality Enhancement Research Initiative.
Ann Intern Med. 2010;152:69-77. http://www.annals.org
An excellent resource…I think those interested in the TEC would find Dr. Hayward’s writings very consistent with the philosophies of TEC: patent-centered, value-driven, shared-informed decision making.
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