Trial Information and Courses from MediaLab, Inc.

Many people involved in the clinical laboratory sciences need to be familiar with basic statistics for a variety of reasons.  These reasons include: performing quality control, and interpreting of results of instrument testing determining suitability of different methods or instruments for the same task understanding how acceptable laboratory procedures and methods are established determining ranges for clinical tests of normal, healthy individuals understanding clinical trials and new methods presented in journals and articles performing those trials and research projects yourself

Atherosclerosis. U.S. Department of Health & Human Services National Institutes of Health. Available at http://www.nhlbi.nih.gov/health/dci/Diseases/Atherosclerosis/Atherosclerosis_WhatIs.htmlAccessed June 23, 2009.Daniels LB, Barrett-Connor E, Sarno M, Laughlin GA,Bettencourt R, Wolfert RL. Lipoprotein-associated phospholipase A2 (Lp-PLA2) independently predicts incident coronary heart disease (CHD) in an apparently healthy older population: The Rancho Bernardo study. J Am Coll Cardiol. 2008;51:913-919.Executive Summary of the third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001; 285:2486-2497. Frostegard, J, Wu R, Lemne C, Thulin T, Witztum JL and de Faire U. Circulating oxidized low-density lipoprotein is increased in hypertension, Clin Sci 2003; 105, 615.Garza CA, Montoir VM, McConnell JP, et al. Association between lipoprotein-associated phospholipase A2 and cardiovascular disease: a systematic review. Mayo Clin Proc. 2007;82(2):159-165.Interpretive Handbook, (MC0440rev0407) Mayo Clinic, Rochester MN;2007. Maksimowicz-McKinnon K, Bhatt DL, Calabrese LH: Recent advances in vascular inflammation: C-reactive protein and other inflammatory biomarkers. Curr Opin Rheumatol. 2004;16:18-24.Mora S, Szklo M, Otvos JD, et al. LDL particle subclasses, LDL particle size, and carotid atherosclerosis in the multi-ethnic study of atherosclerosis. Atherosclerosis. 2007;192:211-217.NACB Laboratory Medicine Practice Guidelines. Emerging biomarkers of cardiovascular disease and stroke. National Academy of Clinical Biochemistry Laboratory Medicine Practice Guidelines. 2006.PLACtest animation, diaDexus. http://www.plactest.com/laboratorians/action.php Accessed June 23, 2009.Rifai N, Warnick GR. Lipids, lipoproteins, apolipoproteins, and other cardiovascular risk factors. In: Burtis CA, Ashwood ER. Bruns DE. Tietz Textbook of Clinical Chemistry and Molecular Diagnostics. 4th ed. St. Louis, MO: Elsevier Saunders: 2006; chap. 26.Ridker PM, Rifai N, Rose L, et al. Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med. 2002;347:1557-1565.Sniderman AD. Differential response of cholesterol and particle measures of atherogenic lipoproteins to LDL-lowering therapy: Implications for clinical practice. J Clin Lipidol 2008;2:36-42.Tsimikas, S, Brilakis ES, Miller ER, et al. Oxidized phospholipids, Lp(a) lipoprotein, and coronary artery disease, N Engl J Med: 2005;353:46.Tsimikas S, Bergmark C, Beyer RW, et al. Temporal increases in plasma markers of oxidized low-density lipoprotein strongly reflect the presence of acute coronary syndromes. J Am Coll Cardiol. 2003; 41: 360.Tsimikas, S, Lau HK, Han KR, et al. Percutaneous coronary intervention results in acute increases in oxidized phospholipids and lipoprotein(a): Short-term and long-term immunologic responses to oxidized low-density lipoprotein. Circulation. 2004;109, 3164.Tsimikas S, Witztum JL, Miller ER, Sasiela WJ, et al. High-dose atorvastatin reduces total plasma levels of oxidized phospholipids and immune complexes present on apolipoprotein B-100 in patients with acute coronary syndromes in the MIRACL trial, Circulation: 2004;110, 1406. Walldius G, Jungner I, Holme I, et al. High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet. 2001;358:2026-2033.Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364:937-952.

Pharmacologists determine a drug's pharmacokinetic characteristics empirically during clinical drug trials. From these studies, they are able to determine the solubility and distribution, the average half-life, the levels of protein binding, and the effective concentrations needed for treatment.

By knowing a patient's disposition to specific drugs, the physician should be able to start the patient on an appropriate regimen rather than perfecting treatment based on trial and error. Drugs whose metabolism may prove to be problematic can be avoided, and second-line therapies that are metabolized by different, unaffected enzymes can be chosen. Clinical chemists, pharmacologists, and physicians need to translate knowledge of CYP450 polymorphisms into clinically-validated treatment algorithms. Dosing recommendations for PM, EM, IM and UM patients are beginning to appear in the literature for various classes of drugs, and the FDA is encouraging the incorporation of pharmacogenomic testing in the development process for new drugs.

Let's briefly review using p values in medical research. A simple example would be a randomized clinical trial to assess whether a new drug decreases levels of low-density lipoprotein (LDL) more than an established drug. Data are collected from subjects treated with new Drug A and established Drug B. Let's suppose that the mean LDL of Drug A is lower than that of Drug B. We want to know whether the difference is due to an effect of Drug A or if the difference is due to chance. There is no way we can ever be certain whether the observed difference reflects a true difference (Drug A is more effective in lowering LDL) or is just a coincidence of random sampling. All we can do is calculate probabilities (the p value) based on a null hypothesis. A null hypothesis states that there is no difference between the drugs. The p value is the probability of observing a difference as large or larger than was observed in the study, if the null hypothesis of no difference were true.