Audio-Digest Foundation: general-surgery

Main Written Summaries Listing | General-surgery: 2007 Listings
Audio-Digest FoundationGeneral Surgery


Volume 54, Issue 13
July 7, 2007

The following is an abstracted summary, not a verbatim transcript, of the lectures/discussions on this audio program. If, after reviewing this written summary, you would like to hear the contents and/or earn CME/CE credit, simply visit the Audio-Digest Foundation website

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LEARNING ANEW

USE OF SIMULATORS IN LEARNING —John D. Mellinger, MD, Associate Professor of Surgery, Medical College of Georgia, Augusta
Nonmedical example of approach to learning: goal—to learn to play golf and develop expert level of skill; method of learning—going to professional golf course, acquiring set of clubs, and simply starting to play; problems with approach—cost; performance pressure; risk to environment and to others; efficiency of learning process; access to learning environment
Comments: this scenario how, historically, medical specialists (eg, surgeons) trained in technical skills (ie, placed in high performance, high stakes environment; not allowed any time for development of skills other than on-the-job training, then expected to perform at high level without hurting anyone); problems with this approach—20% drop-out rate in surgical residencies; $50,000 cost in added operating room (OR) time per resident over course of training; adverse outcomes; funding inefficiencies for general medical education (GME) in “post-Balanced Budget Act era”; question of whether training possible in environment with restricted work hours
Challenges of medical education: to provide increasingly complex technical and cognitive training with—less financial support; higher level of financial accountability; expectation of excellent patient outcomes; less time
Argument for use of simulation: compatible with adult learning and motor learning theory; safer (for learner and patient); possibility of cost containment; criterion- and proficiency-oriented; potential answer to case-mix variation (through standardization of experience); excellent research venue; excellent way to try out new techniques and technology in safe environment; may eventually permit patient-specific rehearsal of procedures; Southern Illinois University (SIU) experience
Elements of adult-learning theory: adult learners respond best if learning problem-centered, relevant, and conceptual; supportive or safe environment (most adults do not learn or retain well in high-pressure setting); instruction must be related to experience; feedback extremely important; learner must be active; Kolb cycle of experiential learning— learner takes abstract concept and, by experimentation, turns it into concrete experience that brings learner back to original concept
Elements of motor learning theory: key value of simulation providing structured way of doing deliberate practice that clearly correlates with development of technical and motor skills; facilitators of motor learning—feedback (most effective if given immediately); instructor support (instructor cueing can overcome information overload; support must be balanced between too much and too little); practice scheduling (random; morning; 4 hr); specificity of practice (should mimic real world conditions; however, fidelity much more important for expert learner)
Elements of expertise (Ericsson): quantity of practice determines attained level of performance and its maintenance; practice at younger age better for developing technical skill; focused attention key aspect of deliberate practice (practice without full concentration may result in inferior skill set); expertise more result of deliberate practice than of innate ability or unique giftedness
Definitions: reliability—reflects degree of consistency; practically measured by testing and retesting under standardized conditions (if this produces consistent results, test considered reliable); helps identify systematic and random errors in process; validity—face validity (does simulation resemble skill in question?); content validity (is material covered in sufficient breadth, and does it reflect what learner needs to know?); construct validity (can simulator distinguish learner’s degree of skill?); concurrent validity (correlation with other established measures and tests of skill); predictive validity (does result predict learner’s future performance, eg, does practicing with simulator make learner better clinical performer?)
Clinical impact of simulation training: study of midlevel surgical residents who received training in inguinal hernia (IH) repair; 1 group got usual OR experience, 1 group got 10 30-min training sessions over 2 wk (video; CD ROM; inanimate simulated IH repair model); subjects performed pre- and posttraining IH repair assisted by blinded surgeon and evaluated by blinded surgical observer; both groups improved over time, but those who received simulated training showed greater improvement (statistically significant)
Clinical impact of virtual reality training: prospective randomized study of 16 surgery residents (at various postgraduate levels); all saw video on correct performance of laparoscopic cholecystectomy and had to demonstrate cognitive understanding of video on multiple choice examination; test group received training (using minimally invasive surgery virtual reality trainer [MIST-VR]) on manipulation of diathermy instrument used to dissect gallbladder off hepatic bed during surgery; test group had to achieve proficiency level of experienced laparoscopist by end of curriculum; standard group received usual surgery rotation instruction; residents then scored on performing mobilization of gallbladder off of bed in OR by 2 blinded surgical observers; results—residents who received MIST-VR training almost 33% faster; subjects who did not receive training 9 times more likely to not progress through procedure at reasonable pace and 5 times more likely to burn extraneous tissue (gallbladder or adjacent liver); mean errors 6 times less likely with training; demonstrates transference of skills developed in training into clinical realm
Transference: ability to extend what is learned in one context to another; cannot expect this to occur without mastery of original subject or skill; affected by depth of comprehension (rather than simple rehearsal)
Flexible endoscopy simulators: 2 available and more in development; demonstrated to have face validity and construct validity; 2 studies by Sedlack looking at gastrointestinal (GI) fellows in initial phase of training; compared performance of novices trained on simulators with those who received no simulator training; found that fellows who received simulator training did better in outcome measures on first 15 colonoscopies; however, advantages from training negligible after 30 actual cases
Summary of data to date: little science yet to demonstrate effectiveness of simulators as they pertain to clinical practice in GI disease; impetus for pursuing use of simulators consistent with principles of adult learning theory and challenges of current educational environment
Concluding comments: national initiatives and directives in development call for technical skills training as part of medical curriculum; barriers to simulator use—cost; requirement for additional personnel (eg, to run skills laboratory); time for educational activity; duty hour restrictions; lack of validity; recommendations—use of simulators should be curriculum- rather than device-driven; multiple departments should cooperate in sharing simulators; low-cost alternatives for teaching skills; simulators will become routine part of surgical practice; next generation of simulators will be intelligent tutors with virtual mentors to help teach skills more efficiently
PHARMACOGENOMICS: IMPORTANCE OF MINORITY ACCRUALS TO CLINICAL TRIALS Timothy Synold, PharmD, Associate Professor of Clinical and Molecular Pharmacology, City of Hope Comprehensive Cancer Center, Duarte, CA
Introductory remarks: variability in patient populations one of key barriers to drug development; when group of patients with same diagnosis treated with given drug, response variable; some do not respond; some develop unacceptable toxicity and have to come off of drug; remainder of patients do fairly well; mandate for those involved in clinical drug development is to identify these subsets of patients up front; would streamline drug development and enable identification of those most likely to benefit from drug and eliminate patients who would be at risk or who would most likely not benefit from treatment
Combination of isosorbide dinitrate and hydralazine (BiDil): may represent “first case of racial profiling” in medicine; used in treatment of congestive heart failure (CHF); original clinical trials negative; subset analysis of data showed better efficacy of drug in black subjects; subsequent trial of 1050 black subjects demonstrated 43% improvement in survival; on this basis, Food and Drug Administration (FDA) approved drug for treatment of CHF in blacks only; underlying biologic basis for efficacy in this patient population unknown
Factors contributing to variability in drug response: extrinsic (eg, sunlight; smoking; alcohol intake); intrinsic (eg, liver function, kidney function); some argue genetic constitution primary underlying factor
Pharmacogenomics: defined as hereditary basis for individual differences in drug response; field of pharmacogenomics began in late 1970s, with investigation of fainting response to debrisoquin (antihypertensive agent); researchers able to establish response as heritable trait in 8% of patients given drug; now know that inheritable germline mutation in debrisoquin hydroxylase, cytochrome P450 2D6 (CYP450 2D6) prevents metabolism of drug, causing very low blood pressure and fainting; history of pharmacogenomic discovery—before era of genomics, genetic factors contributing to response variability largely discovered through observational studies; in postgenomic era, researchers able to genotype patients in advance of giving agent, and discover associations prospectively rather than retrospectively
Single nucleotide polymorphisms (SNPs) in human genome: 99% of human genetic sequence identical; 1% variation accounts for differences among individuals; SNPs small genetic changes in person’s DNA sequence; to be defined as SNP, change must be heritable and must occur in 1% of population; currently estimate close to 10million SNPs in human genome; SNPs associated with functional changes in proteins encoded by exons (average of 2 SNPs per gene); pharamacogenetics—some of these differences in genetic sequence influence how individual metabolizes or transports drugs (affect clearance of drugs from systemic circulation); also SNPs associated with variable changes in drug targets, ie, inherited differences in receptors or enzymes that affect sensitivity to pharmacotherapy
6-Mercaptopurine (6-MP): most commonly used in maintenance phase in children who have advanced lymphocytic leukemia; total amount of 6-MP that can be given to child during year of maintenance significant determinant of his or her long-term survival; metabolic clearance of 6-MP varies up to 10-fold; clearance solely determined by genetic differences in thiopurine methyltransferase (TPMT; enzyme that metabolizes drug through inactive thioguanine nucleotides); 3 principal genotypes of TPMT associated with high, intermediate, or low enzyme activity; children with low or intermediate enzyme activity at high risk for severe neutropenia, and given much less 6-MP in maintenance phase (dose has to be withheld for long periods because of drug toxicity); labeling of 6-MP now changed to include statement that TPMT genetic testing should be considered for patients with severe toxicity
Irinotecan: approved for treatment of advanced colorectal cancer; irinotecan converted by carboxylesterase into its active metabolite SN-38; in liver, SN-38 inactivated by glucuronidation, via enzyme uridine diphosphate glu- curonosyl transferase 1A1 (UGT1A1); patients with SNPs of UGT1A1 (*28 or *6 variant) have 2- to 4-fold decrease in ability to glucuronidate SN-38; result—overall incidence of severe neutropenia in patients receiving irinotecan 10%; however, in patients homozygous for *28 variant, incidence 50%, and in patients heterozygous for variant, incidence 12.5%; patients homozygous for wild-type allele have low or no incidence of severe neutropenia; based on this information, FDA has changed labeling of irinotecan, adding recommendation that patients known to be homozygous for *28 variant should receive reduced starting dose; FDA now proposing that patients undergo prospective genotyping for UGT1A1 polymorphism
Gefitinib (Iressa): small-molecule inhibitor of epidermal growth factor receptor (EGFR); received accelerated FDA approval in 2003, based on response rate of 10% in patients with non–small-cell lung cancer (response rate of 30% reported in Japanese patients); however, drug associated with 2% risk for interstitial lung disease (which has 30% mortality rate); this led to much interest in identifying those patients likely to respond to gefitinib (could avoid subjecting rest of patient population to drug’s severe toxicity); subsequently, researchers (Lynch and Haber) identified genetic mutations in EGFR that could predict patient’s response (all mutations in tyrosine kinase domain of receptor); although gefitinib received accelerated approval, definitive trial failed to show survival advantage; as result, FDA changed labeling so that gefitinib now approved only for patients currently benefiting or who have previously benefited and may continue to benefit from therapy
Comments: goal of pharmacogenomics to identify patients most likely to benefit from specific therapy; disadvantage for drug companies that this reduces size of market; society (and drug industry) must grapple with whether developing drugs for very limited populations based on pharmacogenomics makes economic sense
Future of pharmacogenomics: concept of “linkage dysequilibrium” (SNPs tend to be inherited in blocks); International HapMap Project, multicountry group attempting to identify and catalog those sets of associated SNPs that provide majority of information on genetic variations among individuals; preliminary findings show that although 10 million SNPs exist, 300,000 to 500,000 have almost all information about genetic variability
Concluding comments: genomics just one factor that leads to variability in drug response; some extrinsic factors (eg, herbal medicines, diet) not only variable in population but also culturally linked; need to study most diverse population possible to cover all factors that make patients react differently to drugs (ethnicity important covariant in drug response); analysis of patient DNA now “ready for prime time” and now being used clinically; clear basis for use of pharmacogenomics to aid clinical decision making; clinical trials needed because no good animal models for human genetic variability; furthermore, early on in drug’s development, mechanism of action and toxicity often not fully understood; major challenge in drug development—to ensure adequate representation of ethnicities in clinical trials; ultimate goal to be able to give right drug at right dose to every patient

Suggested Reading

Adamsen S et al: A comparative study of skills in virtual laparoscopy and endoscopy. Surg Endosc 19:229, 2005; Cisler JJ, Martin JA: Logistical considerations for endoscopy simulators. Gastrointest Endosc Clin N Am 16:565, 2006; Clark JA et al: Initial experience using an endoscopic simulator to train surgical residents in flexible endoscopy in a community medical center residency program. Curr Surg 62:59, 2005; Dunkin B et al: Surgical simulation: a current review. Surg Endosc 21:357, 2007; Engen RM et al: Ethnic differences in pharmacogenetically relevant genes. Curr Drug Targets 7:1641, 2006; Ericsson KA, Lehmann AC: Expert and exceptional performance: evidence of maximal adaptation to task constraints. Annu Rev Psychol 47:273, 1996; Ferlitsch A et al: Evaluation of a virtual endoscopy simulator for training in gastrointestinal endoscopy. Endoscopy 34:698, 2002; Gerson LB, Van Dam J: Technology review: the use of simulators for training in GI endoscopy. Gastrointest Endosc 60:992, 2004; Giacomini KM et al: Pharmacogenetics Research Network. The pharmacogenetics research network: from SNP discovery to clinical drug response. Clin Pharmacol Ther 81:328, 2007; Greenwald D, Cohen J: Evolution of endoscopy simulators and their application. Gastrointest Endosc Clin N Am 16:389, 2006; Hamilton EC et al: Comparison of video trainer and virtual reality training systems on acquisition of laparoscopic skills. Surg Endosc 16:406, 2002; Hamilton EC et al: Improving operative performance using a laparoscopic hernia simulator. Am J Surg 182:725, 2001; Hochberger J et al: The use of simulators for training in GI endoscopy. Endoscopy 34:727, 2002; Krampe RT, Ericsson KA: Maintaining excellence: deliberate practice and elite performance in young and older pianists. J Exp Psychol Gen 125:331, 1996; Marsh S, McLeod HL: Pharmacogenetics of irinotecan toxicity. Pharmacogenomics 5:835, 2004; Marsh S, McLeod HL: Pharmacogenomics: from bedside to clinical practice. Hum Mol Genet 15 Spec No 1:R89, 2006; McLeod HL: Current overview of pharmacogenetics. Clin Adv Hematol Oncol 2:205, 2004; Moorthy K et al: An innovative method for the assessment of skills in lower gastrointestinal endoscopy. Surg Endosc 18:1613, 2004; Roden DM et al: Pharmacogenetics Research Network. Pharmacogenomics: challenges and opportunities. Ann Intern Med 145:749, 2006; Scheeres DE et al: Animate advanced laparoscopic courses improve resident operative performance. Am J Surg 188:157, 2004; Seymour NE et al: Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann Surg 236:458, 2002; Tan BR, McLeod HL: Pharmacogenetic influences on treatment response and toxicity in colorectal cancer. Semin Oncol 32:113, 2005; Thomas FJ et al: Pharmacogenomics: the influence of genomic variation on drug response. Curr Top Med Chem 4:1399, 2004.

Educational Objectives

The goal of this program is to improve surgical training by incorporating the use of simulators and to expand the usefulness of clinical drug trials by application of the principles of pharmacogenomics. After hearing and assimilating this program, the clinician will be better able to:
1. Cite the current challenges of medical education.
2. Apply the principles of adult learning and motor learning theory in medical education.
3. Discuss the arguments for the use of and potential benefits of simulators and virtual-reality training to medical education.
4. Describe current research in the mapping of inheritable polymorphisms within the human genome, and how genetic variations influence drug metabolism and sensitivity.
5. Explain the roles of pharmacogenomics and the inclusion of ethnicities in clinical trials, and their value as components of drug development.

Faculty Disclosure

In adherence to ACCME Standards for Commercial Support, Audio-Digest requires all faculty members to disclose relevant financial relationships within the past 12 months that might create any personal conflicts of interest. Any identified conflicts were resolved to ensure that this educational activity promotes quality in health care and not a proprietary business or commercial interest. For this program, the following has been disclosed: Dr. Mellinger is a consultant for USGI Medical.

Acknowledgements

Dr. Mellinger was recorded at Medical and Surgical Approaches to GI Disorders, held July 10-14, 2006, in Kiawah Island, SC, and sponsored by the Medical College of Georgia. Dr. Synold spoke at GI Conference 2006, held September 8- 10, 2006, in San Diego, CA, and sponsored by the City of Hope Comprehensive Cancer Center. The Audio-Digest Foundation thanks the speakers and the sponsors for their cooperation in the production of this program.

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