Laboratory Medicine: Basic QC Concepts M. Desmond Burke, MD.

Slides:



Advertisements
Similar presentations
Validity and Reliability of Analytical Tests. Analytical Tests include both: Screening Tests Diagnostic Tests.
Advertisements

Why do Q.A.? Physician’s Expectations Diagnosis Therapy Technology Physician’s Expectations Diagnosis Therapy Technology.
Chapter 4 Pattern Recognition Concepts: Introduction & ROC Analysis.
TESTING A TEST Ian McDowell Department of Epidemiology & Community Medicine November, 2004.
Module 6 “Normal Values”: How are Normal Reference Ranges Established?
Curva ROC figuras esquemáticas Curva ROC figuras esquemáticas Prof. Ivan Balducci FOSJC / Unesp.
Diagnostic Tests Patrick S. Romano, MD, MPH Professor of Medicine and Pediatrics Patrick S. Romano, MD, MPH Professor of Medicine and Pediatrics.
Anthropometry Technique of measuring people Measure Index Indicator Reference Information.
Quality Control Procedures put into place to monitor the performance of a laboratory test with regard to accuracy and precision.
Limitations of Analytical Methods l The function of the analyst is to obtain a result as near to the true value as possible by the correct application.
CHAPTER SIX Interpretation of Clinical Test Data Posttest probability of disease is determined by pretest probability and the probability of the test providing.
Statistical Fridays J C Horrow, MD, MSSTAT
Quality Assurance.
Quality Assurance in the clinical laboratory
Chemometrics Method comparison
Judgement and Decision Making in Information Systems Diagnostic Modeling: Bayes’ Theorem, Influence Diagrams and Belief Networks Yuval Shahar, M.D., Ph.D.
Unit #7 - Basic Quality Control for the Clinical Laboratory
Quality Assurance.
Quality Assessment 2 Quality Control.
Enzyme-linked immunosorbent assay Microtiter well EEEEE Specimen 2nd antibody E Substrate SP.
BASIC STATISTICS: AN OXYMORON? (With a little EPI thrown in…) URVASHI VAID MD, MS AUG 2012.
Medical decision making. 2 Predictive values 57-years old, Weight loss, Numbness, Mild fewer What is the probability of low back cancer? Base on demographic.
QUALITY ASSURANCE Reference Intervals Lecture 4. Normal range or Reference interval The term ‘normal range’ is commonly used when referring to the range.
Basic statistics 11/09/13.
Sensitivity Sensitivity answers the following question: If a person has a disease, how often will the test be positive (true positive rate)? i.e.: if the.
Quality Control Lecture 5
Appraising A Diagnostic Test
CT image testing. What is a CT image? CT= computed tomography CT= computed tomography Examines a person in “slices” Examines a person in “slices” Creates.
· Lecture 31 & 32 : Scope of clinical biochemistry ط Uses of clinical biochemistry tests ط Diagnosis, Prognosis, Screening, Monitoring ط Reporting results.
Likelihood 2005/5/22. Likelihood  probability I am likelihood I am probability.
Evaluating Results of Learning Blaž Zupan
TESTING A TEST Ian McDowell Department of Epidemiology & Community Medicine January 2008.
Prediction statistics Prediction generally True and false, positives and negatives Quality of a prediction Usefulness of a prediction Prediction goes Bayesian.
Quality control & Statistics. Definition: it is the science of gathering, analyzing, interpreting and representing data. Example: introduction a new test.
Diagnostic Tests Studies 87/3/2 “How to read a paper” workshop Kamran Yazdani, MD MPH.
RESEARCH & DATA ANALYSIS
QC/QA.
The Diagnostic Process A BRIEF OVERVIEW diagnostic process What is it? to figure out to problem solve method scheme.
Diagnostic Test Characteristics: What does this result mean
Screening.  “...the identification of unrecognized disease or defect by the application of tests, examinations or other procedures...”  “...sort out.
1 Medical Epidemiology Interpreting Medical Tests and Other Evidence.
10 May Understanding diagnostic tests Evan Sergeant AusVet Animal Health Services.
Quality Control: Analysis Of Data Pawan Angra MS Division of Laboratory Systems Public Health Practice Program Office Centers for Disease Control and.
Quality Control Internal QC External QC. -Monitors a test's method precision and analytical bias. -Preparation of quality control samples and their interpretation.
ROC curve estimation. Index Introduction to ROC ROC curve Area under ROC curve Visualization using ROC curve.
L ABORATORY Q UALITY C ONTROL. INTRODUCTION _A major role of the clinical laboratory is the measurement of substances in body fluids or tissues for the.
 Routine viral diagnostics: indirect and direct detection of viruses. ◦ Indirect detection: serological tests; ◦ Direct detection:  Viral antigens;
Levey Jennings Chart Activity Staff Meeting Topic.
Sensitivity, Specificity, and Receiver- Operator Characteristic Curves 10/10/2013.
Critical Appraisal Course for Emergency Medicine Trainees Module 5 Evaluation of a Diagnostic Test.
Introduction to Quality Assurance. Quality assurance vs. Quality control.
Quality Assessment.
Lesson 1-9 Quality Assessment.
Unit #6 - Basic Quality Control for the Clinical Laboratory
Pakistan Society Of Chemical Pathologists Zoom Series of Lectures ZT 24. Quality Managent 1 Brig Aamir Ijaz MCPS, FCPS, FRCP (Edin), MCPS-HPE HOD and.
Evaluating Results of Learning
Lecture 3.
FAMILY MEDICINE AND LABORATORY TESTS Elham
کاربرد آمار در آزمایشگاه
Practical clinical chemistry
Diagnosis II Dr. Brent E. Faught, Ph.D. Assistant Professor
Quality Assurance Reference Intervals.
USE OF CLINICAL LABORATORY
Patricia Butterfield & Naomi Chaytor October 18th, 2017
Introduction To Medical Technology
Quality Control Lecture 3
▪Internal quality control:
Quality Assessment The goal of laboratory analysis is to provide the accurate, reliable and timeliness result Quality assurance The overall program that.
USE OF CLINICAL LABORATORY
“Normal Values”: How are Normal Reference Ranges Established?
Presentation transcript:

Laboratory Medicine: Basic QC Concepts M. Desmond Burke, MD

Laboratory Error, “Normal Ranges,” & Predictive Values M. Desmond Burke, M.D. Weill Cornell Medical Center New York, New York

Laboratory Diagnosis laboratory error - preanalytical - analytical: accuracy & precision “normal” or “reference” values sensitivity, specificity & prevalence predictive value pretest & posttest probabilities thresholds & test strategy

CLINICAL CLUES HYPOTHESIS ACTIVATION ROUTINE TESTS TEST STRATEGIES HYPOTHESIS REVISION PATIENT MANAGEMENT

TECHNICAL RELIABILITY DIAGNOSTIC VALUE CLINICAL VALUE

Action Interpretation Reporting Preparation Transportation Question Test selection Ordering Identification Collection Analysis

Laboratory Error: Preanalytical patient preparation - diet, activity specimen collection - wrong name, wrong tube, wrong time wrong technique specimen transport & storage - delays, wrong temperature

Accuracy & Precision Accuracy: “closeness to truth” - maintained routinely by calibrators - checked by inter-laboratory surveys Precision: “ reproducibility” - estimated by Standard Deviation (SD) or Coefficient of Variation (CV) - monitored by quality control sera

oo o o o o o o o o o o o o o o Precise& Inaccurate Precise & Accurate Accurate & Imprecise Inaccurate & Imprecise

Importance of Quality Control to the Physician QUESTION: when is the difference between two successive test results within the limits of analytical imprecision? ANSWER: when the results differ by more than 3 x SD of the laboratory method

“Normal” or “Reference” “reference”is the appropriate word - central 95 percent of the range of values in an apparently healthy population “normal” could mean: - free of neurosis, usual, ideal, free of disease, or including the central 95 percent of a “normal” or gaussian distribution

# Mg/dL 95% 68% 

Relationship of “Expected Abnormal Results” to Number of Measured Constituents Number of Measured Constituents Expected % of one or more “abnormal” Results Probability of abnormal result: 1 – 0.95 n : n equals test number

TECHNICAL RELIABILITY DIAGNOSTIC VALUE CLINICAL VALUE

POST-TEST PROBABILITIES POST-TEST PROBABILITY, GIVEN A POSITIVE TEST RESULT = PV+ POST-TEST PROBABILITY, GIVEN A NEGATIVE TEST RESULT = 100 – PV-

RULE-OUT THRESHOLD RULE-IN THRESHOLD PROBABILITY OF DISEASE DO NOT TEST DO NOT TREAT TEST TREAT DO NOT TEST

RULE-OUT THRESHOLD RULE-IN THRESHOLD PROBABILITY OF DISEASE TEST 50 PRETEST (P)POSTTEST NEG (P) 10 POSTTEST POS (P) 90

Sensitivity & Specificity SENSITIVITY - the percentage of diseased individuals with abnormal test results SPECIFICITY - the percentage of healthy individuals with normal results

False Negatives & False Positives FALSE NEGATIVE RATE minus SENSITIVITY FALSE POSITIVE ATE minus SPECIFICITY

Predictive Values POSITIVE PREDICTIVE VALUE (PV+) - the percentage of true positive test results among all positive test results NEGATIVE PREDICTIVE VALUE (PV-) - the percentage of true negative test results among all negative test results

TEST RESULT DISEASE PRESENT DISEASE ABSENT POSITIVETPFP NEGATIVEFNTN TOTALSTN + FP SENSITIVITY TP/TP+FN SPECIFICITY TN/FP+TN POSTTEST PROBABILITY GIVEN A POSITIVE RESULT : TP/TP+FP POSTTEST PROBABILITY GIVEN A NEGATIVE RESULT: FN/TN+FN TP + FN

POSTTEST PROBABILITY OF DISEASE WHEN PRETEST PROBABILITY IS 50% TEST RESULT DISEASE PRESENT DISEASE ABSENT POSITIVE9010 NEGATIVE1090 TOTALS100 SENSITIVITY 90% SPECIFICITY 90% POSTTEST PROBABILITY GIVEN A POSITIVE RESULT : 90/100(90%) POSTTEST PROBABILITY GIVEN A NEGATIVE RESULT: 10/100 (10%)

RULE-OUT THRESHOLD RULE-IN THRESHOLD PROBABILITY OF DISEASE TEST 50 PRETEST (P)POSTTEST NEG (P) 10 POSTTEST POS (P) 90

POSTTEST PROBABILITY OF DISEASE WHEN PRETEST PROBABILITY IS 90% TEST RESULT DISEASE PRESENT DISEASE ABSENT POSITIVE81010 NEGATIVE90 TOTALS SENSITIVITY 90% SPECIFICITY 90% POSTTEST PROBABILITY GIVEN A POSITIVE RESULT : 810/820 (99%) POSTTEST PROBABILITY GIVEN A NEGATIVE RESULT: 90/180 (50%)

POSTTEST PROBABILITY OF DISEASE WHEN PRETEST PROBABILITY IS 10% TEST RESULT DISEASE PRESENT DISEASE ABSENT POSITIVE90 NEGATIVE10810 TOTALS SENSITIVITY 90% SPECIFICITY 90% POSTTEST PROBABILITY GIVEN A POSITIVE RESULT : 90/180(50%) POSTTEST PROBABILITY GIVEN A NEGATIVE RESULT: 10/820 (1%)

Effects of Prevalence DECREASING PREVALENCE - decreases (PV+) & increases (PV-) INCREASING PREVALENCE - increases (PV+) & decreases (PV-)

F D D Xc X

D D X

RECEIVER-OPERATOR CHARACTERISTIC (ROC) CURVES % FP % TP USELESS BETTER BEST

DETERMINANTS OF SENSITIVITY - choice of cutoff or reference limit - severity of disease in patients chosen to determine sensitivity - increased by multiple testing in parallel DETERMINANTS OF SPECIFICITY - choice of cutoff or reference limit - type of nondiseased persons chosen to determine specificity - increased by multiple testing in series

WHICH TEST TO ORDER? WHAT IS THE PRETEST PROBABILITY OF THE PROBLEM? WHAT ARE THE “RULE IN” & “RULE OUT” THRESHOLDS TO RULE INTO RULE OUT POSTTEST PROBABILITY (+) SHOULD BE HIGHER THAN “RULE IN” THRESHOLD POSTEST PROBABILITY (-) SHOULD BE LOWER THAN THE “RULE OUT” THRESHOLD KEY IS: SPECIFICITY KEY IS: SENSITIVITY

POSTTEST PROBABILITY OF CHD WHEN PRETEST PROBABILITY IS 10% TEST RESULT DISEASE PRESENT DISEASE ABSENT POSITIVE86207 NEGATIVE14693 TOTALS SENSITIVITY 86% SPECIFICITY 77% POSTTEST PROBABILITY GIVEN A POSITIVE RESULT : 86/293(29%) POSTTEST PROBABILITY GIVEN A NEGATIVE RESULT: 14/707 (2%)

POSTTEST PROBABILITY OF CHD WHEN PRETEST PROBABILITY IS 90% TEST RESULT DISEASE PRESENT DISEASE ABSENT POSITIVE77423 NEGATIVE12677 TOTALS SENSITIVITY 86% SPECIFICITY 77% POSTTEST PROBABILITY GIVEN A POSITIVE RESULT : 774/797(97%) POSTTEST PROBABILITY GIVEN A NEGATIVE RESULT: 126/203 (62%)

RULE-OUT THRESHOLD RULE-IN THRESHOLD PROBABILITY OF DISEASE TEST 62 PRETEST (P)POSTTEST NEG (P)POSTTEST POS (P) 97 90

RULE-OUT THRESHOLD RULE-IN THRESHOLD PROBABILITY OF DISEASE TEST 50 PRETEST (P)POSTTEST NEG (P) 1 POSTTEST POS (P) 10