| Excessive carbohydrate loss that may occur due to vomiting, or rapid weight loss may result in the presence of which of following substances not normally contained in the urine? | View Page |
| Which of the following reagent strip tests is based on the Ehrlich- aldehyde reaction. | View Page |
| When the glucose result on a urine specimen from an infant is negative on the reagent strip, it can be assumed that the specimen is negative for other reducing substances such as galactose. | View Page |
| Sulfosalicylic acid can be used to confirm the result of which of the following tests included on a urine reagent strip? | View Page |
| Procedure Caution Although the procedure is simple to perform, accurate results depend on careful adherence to manufacturer’s directions and adequate quality control. Normal and abnormal controls should be tested whenever a new lot of strips is opened, and at the frequency defined by the laboratory's procedure. If quality control results do not correspond to the published control values, the problem must be resolved before patient samples are tested. High levels of ascorbic acid (Vitamin C) in the urine may inhibit some reagent strip reactions, such as glucose, blood, bilirubin, nitrate and leukocyte esterase. The urine dipstick's package insert will provide information about potential interfering substances, including ascorbic acid. Intensely colored urine may make it difficult to correctly interpret color reactions on the dipstick. The affected tests should not be reported from the dipstick. It would be necessary to use an alternative method of testing if available. | View Page |
| Acid and alkaline urine pH Reasons for acidic urine pH include: a high-meat diet, respiratory/metabolic acidosis, and hypochloridemia. A urine with a high concentration of glucose may also have a lower pH. An alkaline pH may be the result of a vegetarian diet, respiratory/metabolic alkalosis, or a bacterial infection caused by urease-producing bacteria. Urine that contains bacteria can become more alkaline if the specimen remains at room temperature for an extended period of time. | View Page |
| Match the following factors with the expected pH: | View Page |
| Clinical Significance cont'd Individuals with diabetes mellitus may excrete small amounts of protein in the urine which may signal the beginning of reduced glomerular filtration. Stabilizing the blood glucose level at this time may delay progression of diabetic nephropathy. Women in the last month of pregnancy may develop proteinuria as the first sign of impending eclampsia. Eclampsia is the gravest form of toxemia of pregnancy. The presence of protein in this situation must be evaluated by the physician in conjunction with other clinical symptoms.Benign transient proteinuria may be the result of: exposure to cold, strenuous exercise, dehydration, and/or high fever. Benign transient proteinuria may also occur during the acute phase of a severe illness. | View Page |
| Glucose Test The test for glucose is a double sequential enzyme reaction, utilizing the glucose-oxidase/peroxidase method. In the first reaction, glucose oxidase catalyzes the oxidation of glucose to gluconic acid and hydrogen peroxide. Then, the peroxidase catalyzes the oxidation of a chromogen by the hydrogen peroxide to form a colored product. This method does not react with lactose, fructose or galactose. Study the dipstick color chart to become familiar with the range of color changes. The urine specimen should be at room temperature for these enzyme reactions to occur properly. | View Page |
| False Negative Results False negative results occur when elements present in the urine interfere with either the enzymatic reaction or prevent the oxidation of potassium iodide. Examples of such substances include: large quantities of ketones aspirin ascorbic acid > 50 mg/dL with some reagent strips levadopa 5-hydroxyindoleacetic acid homogentisic acid sodium fluoride ( a preservative)A specific gravity higher than 1.020 may lower glucose reagent sensitivity, especially in the presence of a high urine pH. Exposing reagent strips to excess humidity may also reduce glucose reagent reactivity.Check the package insert of the reagent strips used in your laboratory for interfering substances that may affect glucose results. | View Page |
| Test for Reducing Substances Other than Glucose Urine specimens from certain pediatric patients should be tested for other reducing substances, such as galactose, when the results for glucose are negative using the routine dipstick method. The laboratory's procedure should define when additional testing is needed. | View Page |
| Clinical Significance In the healthy individual, almost all of the glucose filtered by the renal glomerulus is reabsorbed in the proximal convoluted tubule. The amount of glucose reabsorbed by the proximal tubule is determined by the body's need to maintain a sufficient level of glucose in the blood. If the concentration of blood glucose becomes too high (160-180 mg/dL), the tubules no longer reabsorb glucose, allowing it to pass through into the urine. It is important to note that glucose may appear in the urine of healthy individuals after consuming a meal that is high in glucose. Fasting prior to providing a sample for screening eliminates this problem. | View Page |
| Clinical Significance cont'd Conditions in which glucose levels in the urine are above 100 mg/dL and detectable include:diabetes mellitus and other endocrine disordersimpaired tubular reabsorption due to advanced kidney diseasepregnancy - glycosuria developing in the 3rd trimester may be due to latent diabetes mellituscentral nervous system damagepancreatic diseasedisturbances of metabolism such as, burns, infection or fractures | View Page |
| Three Kinds of Ketones When the body breaks down fat for energy, three intermediate products are formed. These products, collectively referred to as ketones, are acetone, acetoacetic acid, and beta-hydroxybutyric acid. Normally, the body gets the energy it needs from carbohydrates in the diet. However, stored fat is broken down and ketones are produced and appear in the urine if the diet does not contain enough carbohydrate to supply the body with glucose for energy or if the body cannot use glucose properly. | View Page |
| False Negative False negative results may occur in the presence of significant levels of protein or glucose and in urines with high specific gravity which may crenate the white blood cells causing them to be come unable to release esterases. Some drugs such as Cephalexin (Kelfex®), Cephalothin Keflin®) or high concentrations of oxalic acid may also cause decreased test results. Tetracycline may cause decreased activity, and high levels of the drug may cause a false negative reaction. Large amounts of ascorbate may cause false negative results. | View Page |
| False-negative results on reagent strips for leukocytes may occur when the specimen contains: (Choose ALL of the correct answers) | View Page |
| To screen for urinary tract infections leukocyte esterase should be coupled with: (Choose ALL of the correct answers) | View Page |
| Advantages and Limitations of the Reagent Strip Method for Specific Gravity Specific gravity measured with the reagent strip method correlates well with gravimetric measurement, and, unlike the gravimetric or refractometer methods, does not need to be corrected for glucose or protein. Cloudy/turbid urines do not need to be clarified before measuring specific gravity with the reagent strip method. It is the recommended method for determining specific gravity if a urine specimen contains x-ray contrast media or plasma expanders. Alkaline urine can affect the indicator system and lower the specific gravity result on the reagent pad. If the result is being read visually, it is recommended that .005 be added to the result when the pH is alkaline. Most dipstick readers, however, will automatically adjust the specific gravity reading for pH. A specific gravity reading higher than the reagent strip range would need to be measured by another method, and may require dilution. | View Page |
| Reasons for Performing Confirmatory or Secondary Macroscopic Urine Tests Urine reagent strips are normally adequate for urine screening, but occasionally, it may be necessary to perform a secondary procedure to ensure the accuracy of the test result. Confirmatory or secondary procedures are usually performed for one or more of these reasons: To confirm a result that has been obtained on the reagent strip. To obtain a result from a highly pigmented urine that masks the result on the reagent strip. To test for a specific analyte (or analytes) that are not included in the specificity of the reagent strip test. For example, the glucose reagent strip test is specific for glucose, but you want to test for other reducing substances. | View Page |
| The Presence of Glucose in the Urine The presence of significant amounts of glucose in the urine is called glycosuria (or glucosuria). The amount of glucose present in urine is dependent upon the blood glucose level, the rate of glomerular filtration, and the degree of tubular reabsorption of the sugar. Usually glucose will not be present in the urine until the blood level exceeds 160-189 mg/dl, which is the normal renal threshold for glucose. The main reason for glycosuria is an elevated blood glucose level, called hyperglycemia. Diabetes mellitus is the most common disease that causes hyperglycemia. However, stress, obesity, brain injury, myocardial infarction, hyperthyroidism, pregnancy, and a lowered renal threshold due to kidney damage can all cause glycosuria. | View Page |
| Other Reducing Substances Although glucose is the sugar most commonly tested for in urine, normal human urine can contain small amounts of galactose, lactose, fructose, xylose, and other pentoses. Galactosuria, an abnormal amount of galactose in the urine, occurs in infants with a congenital metabolic defect. Lactose may be found in the urine of nursing women and during late pregnancy. All of these sugars, including glucose, are reducing substances. | View Page |
| Testing for Reducing Substances Other Than Glucose Testing pediatric urine specimens for reducing substances other than glucose is a policy that should be implemented in the urinalysis laboratory. The maximum age for this testing is defined by each laboratory and is usually based on consultation with the pediatric clinical staff. The policy that is implemented in most laboratories is to test urine specimens for other reducing substances if the glucose test on the reagent strip is negative and the urine specimen is from a child below the age of one. Verify the policy for your own laboratory because the cutoff age for testing may be different. | View Page |
| Alternate Tests for Sugars There are two basic types of tests that are used to screen or monitor glycosuria -- copper reduction tests and enzyme tests. Most enzyme tests use the enzyme glucose oxidase impregnated on a dipstick along with a chromagen, and are specific for detecting only glucose. The copper reduction tests, however, detect any reducing substance. Clinitest® uses the classic Benedict’s copper reduction reaction. Any reducing substances present in the urine will react with the copper sulfate reagent, and the blue cupric sulfate is subsequently reduced to cuprous oxide. The resultant color change from blue through green to orange is proportional to the amount of reducing substance in the urine sample. | View Page |
| A negative sugar result on a reagent stick and a positive Clinitest® result on the same specimen indicates: | View Page |
| Correlation of Urine Glucose and Ketones It is important to test for urinary (and plasma or serum) ketones when any patient shows a greater than normal excretion of sugar or reducing substances. Screening for ketonuria is useful in following the effects of treatment for diabetes and in judging the severity of acidosis. Large amounts of ketones will appear in the urine before serum ketone levels are elevated. | View Page |
| The carbohydrate utilization reaction seen in the QuadFerm system shown in the picture provides a definitive identification of N. gonorrhoeae: | View Page |
| Clostridium Quad Plate Key reactions for the identification of Clostridium septicum are shown in the two quadrant plates shown in the photograph.Included in the upper photograph are reactions for milk (casein) proteolysis (12 o'clock quadrant), glucose fermentation, DNAse hydrolysis, and starch hydrolysis respectively reading clockwise.The media in the quadrant plate shown in the lower photograph include gelatin hydrolysis (2 o'clock quadrant) and fermentation of each of mannitol, lactose, and rhamnose respectively, reading clockwise.Milk (casein) hydrolysis
Glucose fermentation
Key reactions for the identification in the upper plate include no proteolysis of milk, fermentation of glucose (yellow red color along the inoculation streak), positive DNAse (reddish clearing around the streak) and negative reaction for starch.
Key reactions in the lower plate include hydrolysis of gelatin, fermentation of lactose (yellow pigment), and negative reactions for mannitol and rhamnose (no pigment).Most strains of C. perfringens hydrolyze starch and produce proteolysins of milk, the key reactions that distinguish C. septicum (negative). Reactions to the other tests do not distinguish between the two. | View Page |
| Eikenella - catalase & oxidase Eikenella corrodens (E) belongs to the HACEK group of miscellaneous gram-negative bacilli which includes Haemophilus aphrophilus (H), Actinobacillus actinomycetemcometans (A), Cardiobacterium hominis (C) and Kingella kingae (K).Cytochrome oxidase and catalase are two rapid tests that help separate the several members of this group.Eikenella corrodens shows cytochrome oxidase activity, but not catalase activity.
The positive oxidase reaction separates E. corrodens from Haemophilus aphrophilus and Actinobacillus actinomycetemcomitans, which are both negative.A. actinomycetemcomitans is also catalase positive, an additional characteristic separating it from E. corrodens, which is negative.As Kingella kingae is also oxidase positive and catalase negative, other tests are needed for differentiation. K. kingae produces acid from glucose and maltose (E. corrodens is asaccharolytic). | View Page |
| Eikenella biochemicals Although not performed that often, the following tests are useful in separating E. corrodens from other closely related members of the HACEK group:KIA showing an alk/alk reaction;
Glucose fermentation (-);
Reduction of nitrates to nitrites (+);
Production of indole (-);
Ornithine decarboxylase (+)
The positive nitrate reduction reaction eliminates Cardiobacterium hominis, Kingella kingae and other Kingella species.The positive ornithine decarboxylase reaction eliminates Kingella denitrificans (which also denitrifies nitrate to nitrogen gas, a reaction negative for E. corrodens).Eikenella corrodens is asaccharolytic, whereas most other closely related species produce acid from one or more carbohydrates. | View Page |
| Review 1 Newfield RS. Vargas I. Huma Z.:
Eikenella corrodens infections. Case report in two adolescent females with IDDM.
Diabetes Care. 19:1011-3, 1996OBJECTIVE: To alert physicians caring for patients with diabetes to the microorganism Eikenella corrodens and to discuss the appropriate preventive and therapeutic measures to take against this potentially morbid opportunistic Gram-negative bacilli.CASES: We present two cases of extra-oral E. corrodens infections in adolescent females with IDDM. The first patient had diabetes of 4 years' duration, which was moderately well controlled. Chronic finger biting resulted in a complex felon that evolved gradually and worsened while the patient received cephalexin orally. Delay in seeking further intervention resulted in necrosis of her distal fingertip and nail bed. The second patient had poorly controlled diabetes for 5 years. She developed an acute thigh abscess at an insulin injection site that resolved after drainage and intravenous antibiotics.CONCLUSIONS: E. corrodens commonly inhabits the human oral cavity and becomes a pathogen mostly when host defenses are impaired, causing abscesses and infections that are at times fatal. Patients with IDDM are compromised hosts and with daily microtrauma to their skin via glucose monitoring and insulin injections, are prone to develop E. corrodens infections that can be introduced through oral secretions by licking or biting their skin. Educational efforts aimed at preventing exposure of traumatized skin to oral secretions can minimize the risk of E. corrodens infections in compromised hosts.Early intravenous administration of antibiotics, bearing in mind E. corrodens resistance to clindamycin, metronidazole, and other antibiotics, coupled with prompt surgical intervention, is essential in successfully managing E. corrodens infections. | View Page |
| Discrete and Continuous Data There are two main types of data that you might encounter. The first is discrete data, which is a count of whole events, objects or persons. For example, the number of people with a certain illness is a discrete quantity.The other type of data is continuous data, which is the measure of a quantity such as length, volume, or time, which can occur at any value. For example, the concentration of glucose in the blood is a continuous quantity. Even if the instrument you are using rounds off values to whole numbers, these quantities are still continuous. | View Page |
| Samples and Populations A population is the entire group of persons or objects about which you want to make inferences. A sample is a small portion of that population that you actually test and examine, in order to collect data and make those inferences.For example, suppose you wanted to test the average fasting blood glucose value of diabetics in the United States. It would be impossible to test all of them, so you would choose a small sample of them, usually through some random process. Then you would test only that sample, and from that, make an inference about the average glucose value of the whole country's diabetic population.Choosing a sample that is representative of the population, however, is not an easy task. No matter how large a sample is, or how precisely the tests on that sample are carried out, the results are worthless if your sample is biased. | View Page |
| A Frequency Distribution Example Table III shows the unsorted raw data that will be used to make a frequency table. Note that the low and high results are highlighted. These data are continuous; however, the testing equipment rounds the data off to the nearest whole number of milligrams.Table IIIConcentration of Serum Glucose (mg/dL) in 130 Hospital Employees 100 83 80 114 100 80 85 81 101 80 95 108 79 81 97 77 84 88 78 86 81 77 98 85 92 105 85 108 90 89 84 94 84 81 82 78 84 82 98 86 87 74 79 104 89 91 85 72 92 90 93 87 90 99 96 110 107 97 84 76 83 80 101 75 84 76 73 86 71 84 70 79 91 86 86 91 87 96 96 97 106 104 65 81 103 83 90 70 80 80 75 82 83 76 81 87 84 86 93 86 103 76 112 102 93 89 67 78 84 82 91 86 82 82 87 89 95 90 73 103 75 113 93 86 77 95 94 99 87 92 | View Page |
| Step 5: Determine Relative Frequencies Relative frequency is the proportion of a sample that belongs to a particular class. We calculate the relative frequency by dividing the class frequency by the total number of data points, n. The sum of the relative frequencies should be one, but due to rounding errors, sometimes it is not exactly one.Table IV Actual and Relative Frequency of Serum Glucose Levels in 130 Hospital Employees Intervals (mg/dL) Tally Frequency Relative Frequency 65 - 70 \\ 2 0.015 70 - 75 \\\\ \\ 7 0.054 75 - 80 \\\\ \\\\ \ 16 0.123 80 - 85 \\\\ \\\\ \\\\ \\\\ \\\\ \\\\ \ 31 0.238 85 - 90 \\\\ \\\\ \\\\ \\\\ \\\\ 24 0.185 90 - 95 \\\\ \\\\ \\\\ \\\ 18 0.138 95 - 100 \\\\ \\\\ \\\ 13 0.100 100 - 105 \\\\ \\\\ 10 0.077 105 - 110 \\\\ 5 0.038 110 - 115 \\\\ 4 0.031 Total n = 130 0.999 | View Page |
| Bar Chart Bar charts are preferred for discrete data. The height of the bar between the "65" and "70" tick marks corresponds to the number of elements in the 65 - 70 class, etc.Figure 3Frequency of Serum Glucose Levels in 130 Hospital Employees | View Page |
| Histogram Histograms are used for continuous or discrete data. When continuous data are charted, you can connect the midpoints of the tops of the bars with a dashed line.Figure 4Frequency of Serum Glucose Levels in 130 Hospital Employees | View Page |
| Frequency Polygon The frequency polygon resembles a continuous curve, and is therefore appropriate for illustrating continuous data. Instead of bars, the class midpoints are plotted at heights corresponding to the class frequency. The midpoints are then joined by a line.Figure 5Frequency of Serum Glucose Levels in 130 Hospital Employees | View Page |
| Absolute vs. Relative Frequency You also have the choice of plotting the relative or the absolute frequency along the y-axis. The relative frequency is better for large samples. The shape of the graphs, however, is the same for both methods. Figure 6 Absolute Frequency of Serum Glucose Levels in 130 Hospital Employees Figure 7 Relative Frequency of Serum Glucose Levels in 130 Hospital Employees | View Page |
| Data and Data Pairs Sometimes you will need to analyze data that are in the form of pairs, with one independent variable and one dependent variable in each pair. For example, the data pairs may be ages and weights of children, or hours studied and test scores of students.The best way to represent these data graphically is with a scatterplot: plotting each independent variable as an x-coordinate, and each dependent variable as a y-coordinate. This allows the reader to quickly see if there is a relationship between the two variables, and how strong the relationship is.You may also analyze data that do not occur as pairs, but as single numbers. Examples include the test scores of many students, or the glucose levels of diabetic patients. These data are presented graphically with a frequency distribution. | View Page |
| A Measure of Relative Variability Since standard deviation, mean, median, and mode are all absolute data on statistical samples, they do not permit a direct comparison of variation between samples with different means or different units of measurement.One way to obtain a measure of variation that has no units is to divide the standard deviation by the mean, and multiply by 100 to give a percent. This quantity is called the coefficient of variation, and can be used to compare methods that give different units.For example, the coefficient of variation for two different glucose methods would be calculated as shown below after the mean and standard deviation for each method has been established. The hexokinase method has = 99 mg/dL, and s = 8.0 mg/dL. The orthotoluidine method has = 105 mg/dL, and s = 12.5 mg/dL. From these CV's we would conclude that the hexokinase method is relatively more precise because it has a lower CV. | View Page |
| Monitoring Methods Coefficient of variation is commonly used as a means of measuring the variability of an instrument. The data are gathered by recording the values for the normal and abnormal controls for each test run. At the end of the month, the standard deviation, mean, and coefficient of variation are calculated. The testing data for a particular instrument might look like this: January February March Normal Control s CV 100.9 2.43 2.41 103.1 2.99 2.90 102.0 2.21 2.17 Abnormal Control s CV 209.5 4.41 2.11 211.6 4.00 1.89 206.8 3.95 1.91 The coefficient of variation stays fairly constant from month to month. If there is a sudden increase, there might be a problem with the method or the equipment.In the clinical laboratory, the use of CV as a measure of relative variability should not be confused with the use of the standard deviation as a measure of absolute variability. For example, support physicians agreed that for accurate patient treatment, the inherent variability in a glucose method should be less than 5 mg/dL. In this case, neither the hexokinase nor the orthotoluidine method is acceptable. It does not matter which is more precise if neither is precise enough to result in adequate patient care. | View Page |
| Basic metabolic panel (BMP) Consists of an electrolyte panel, plus:
Blood urea nitrogen (BUN), which a measure of renal function.
Creatinine (Creat), which also measures renal function
Glucose, the most important blood sugar, and
Calcium.
Run on serum or plasma
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| Gray top tubes Contain an inhibitor of glycolysis, such as sodium fluoride.May also contain an anticoagulant such as potassium oxalate.
Used for accurate determination of glucose levels.
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| Plasma sugars Sugars are also dissolved in the plasma. By far the most important is glucose.
Blood glucose is increased in diabetes mellitus, and decreased in hypoglycemia.
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| Collection tubes Blood may be collected into either:Red top (clot) tubes.Speckle top tubes (serum separator tube).Gray top tubes specifically designed to preserve glucose levels.
Gray top tubes contain additives such as sodium fluoride or potassium oxalate, which prevent metabolism of glucose by blood cells.
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| Administration of glucose Collect venous blood for a fasting glucose level.Give the patient a standard dose of glucose, usually in the form of a beverage such as Glucola™ (Allegiance). Always follow your own procedure manual.
In general:Give a 50 gram glucose dose to screen pregnant women at 28 weeks for gestational diabetes.Give a 75 gram glucose dose to nonpregnant adults.Give a 100 gram glucose dose to confirm the diagnosis of gestational diabetes. | View Page |
| Patient observation Observe the patient carefully during the procedure and be on the lookout for reactions such as nausea and vomiting.
If these or other symptoms persist, contact the patient’s physician. You may need to terminate the test.
Of course, always follow your institution’s specific procedure for performing glucose tolerance tests. | View Page |
| One hour screening test for gestational diabetes About 2-3% of women will develop gestational diabetes.Since women with gestational diabetes have a higher risk of losing their baby or having a baby with malformations, diagnosis and treatment of gestational diabetes is important.Pregnant women are screened for gestational diabetes at 28 weeks using a modified glucose tolerance test.Patients are given a 50 gm dose of Glucola, and blood is collected for glucose testing one hour later.If the glucose level is greater than 140 mg/dl, a 3 hour glucose tolerance test is required to confirm the diagnosis of gestational diabetes. | View Page |
| Introduction Glucose tolerance test is used to help diagnose diabetes mellitus, or gestational diabetes (diabetes occurring during pregnancy).Patients are given a standard oral dose of glucose, after which their blood is collected at standard time intervals.
Blood samples are then checked for glucose levels.
Abnormal glucose levels may indicate diabetes mellitus, or gestational diabetes mellitus. | View Page |
| Specimen collection To screen for gestational diabetes, collect blood after one hour.For a standard glucose tolerance test collect blood and urine at 30 minute intervals, for two hours.To confirm gestational diabetes, collect blood every hour for 3 hours.
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| Mean The mean is simply an average of data points. Let’s say that 100 glucose determinations are performed on a known control sample. If we add all the results together, then divide by the number of results, we get the mean.Significant variations in the mean from day to day may indicate systematic errors.
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| Histograms Now we'll take the results of the glucose determinations and plot them on an X-Y axis. Ideally, we would see a graph like the one to the right. This is called a histogram--a graph or plot that lets you see how many times a certain event occurred. If we then draw a line following the data results, we would get a curve as shown in our illustration. Note that it has the general shape of a bell. This is known as the Gaussian curve or more popularly as a bell-shaped curve. | View Page |
| CUSUM Example: Plotting Control Data To illustrate the use of CUSUM in the laboratory, we'll use daily control values for glucose testing.First, we'll list daily control values under "daily results."
Then, we'll calculate mean by using formula A.
Next, we can find the difference from the mean for each result, and square that result for the two relevant columns.
Using all of the squared differences from the mean, we can find the standard deviation using formula B.
Using the mean from formula A and the standard deviation calculations from formulas B and C, we can plot our data points on the Levey-Jennings chart.
Formula D helps us calculate the coefficient of variation (CV), which expresses SD as a percentage of mean value and is more reliable for comparing precision at different concentration levels. The lower the CV the greater the precision.
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| A lab tech is running an assayed glucose control. The manufacturer has determined the control to have a value of 95. The lab tech runs the glucose test ten times, producing the following results: 99, 99, 99, 98, 98, 98, 98, 97, 97, 97. In which area should the lab tech try to improve his skills? | View Page |
| A Quality Control Exercise For this problem, you may need to work off-line. After you have evaluated the data on the following page, return to the course and answer the accompanying questions.
Problem
You are the only full-time employee at a small clinic's laboratory. You use an assayed control for your glucose determinations. The manufacturer's printed values for the present lot number are: Level 1 ControlMean: 72 mg/dLStandard deviation: +/- 2 mg/dLLevel 2 ControlMean: 281 mg/dLStandard deviation: +/- 12 mg/dLThe table on the next page shows that control results for the first twelve days of testing for the month. Plot your QC results on a Levey-Jennings chart and evaluate your data. | View Page |
| In this example glucose run. possible random errors occurred on days: | View Page |
| According to the Westgard Rules, the glucose run should have been rejected on day: | View Page |