| Collection Tubes (continued) The samples from each tube are used for specific tests:The first tube may also be used for serological testing.The second tube is used for gram stain and culture.The third tube is used for the cell count and differential.The fourth tube is used for cytological examinations or other tests which may be needed to further characterize abnormal cells.
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| Specimen Labeling and Transport The cerebrospinal fluid sample should be properly labeled with the tube number, patient's name and hospital number.
The samples should be transported to the laboratory immediately.
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| Initial Specimen Examination The technologist is responsible for examining CSF samples as they are received. If any of the following conditions are present, the results of testing could be uninterpretable:
Tubes are not labeled.Tubes are not numbered.Specimen contains a blood clot.Specimen contains less than 0.5 ml CSF.
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| Specimen Handling and Storage The stability of the CSF sample varies depending on the procedures ordered.
Cell counts are ALWAYS STAT and should be performed within 30 - 60 minutes for best results.
Samples should be left at room temperature for no longer than one hour and refrigerated following testing.
Refrigeration is not recommended for culture specimens since fastidious organisms such as Haemophilus influenzae and Neisseria meningitidis may not survive the cold temperature.
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| Abnormalities Many of the samples received may have one or more of the following abnormalities:
turbidityfibrinogen clot/pelliclebloody appearancexanthochromia
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| Turbidity Spinal fluid samples are either clear or turbid. Some sources use the following rating system for turbid CSF specimens: 0 = crystal clear fluid 1+ = faintly cloudy, smoky, or hazy 2+ = turbidity clearly visible but newsprint read easily through tube 3+ = newsprint not easily read through tube 4+ = newsprint cannot be seen through the tubeTurbidity may be caused by leukocytes, erythrocytes, fungi, bacteria, amoebae, contrast media, or aspiration of epidural fat during puncture.200 leukocytes/mm3 will cause slight turbidity (1+); increased numbers of WBCs will cause increased turbidity. At least 400 erythrocytes/mm3 are needed to produce 1+ turbidity.Occasionally CSF will have an oily appearance due to the presence of substances remaining in the CSF after radiologic (x-ray) procedures have been performed. | View Page |
| Xanthochromia Samples from patients who have suffered a subarachnoid hemorrhage or cerebral hemorrhage may have a pink- to yellow-tinged supernatant when the sample is centrifuged within one hour after collection.
The term used to describe the colored supernatant is xanthochromia. The color varies according to the substance causing the color and the length of time after the incident that the sample is examined.
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| True or false: all clear samples should be examined undiluted. | View Page |
| Pia Arachnoid Mesothelial Cells (continued) A reactive pia arachnoid mesothelial cell as noted by the darker cytoplasm is present in this field. Reactive cells are a common finding in cytospin smears from spinal fluid samples and are sometimes difficult to distinguish from tumor cells. Mesothelial cells are usually interspersed among the other cells, rather than appearing in clumps. They have a single distinct nuclei that may be eccentric.
The macrophages (histiocytes) are seen next to the mesothelial cell. Macrophages are distinguished from circulating monocytes by the irregular appearing cytoplasm. Bacteria, red cells or other debris can often be seen in the cytoplasm of macrophages.
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| Tissue Cells Tissue cells that are never seen in peripheral blood but are often seen in spinal fluid samples are presented in the table below: Cells Causes macrophages RBC's in CSF viral meningitis tubercular meningitis ependymal normal - due to shedding of cells that line the ventricles pia arachnoid mesothelial cells (PAM) normal - due to shedding of cells lining the arachnoid space These cells are important because they must be differentiated from tumor cells and blast cells. | View Page |
| Red Cells and Lymphocytes Many red cells and a small, mature lymphocyte are present in this picture. This is typical of fields seen in samples resulting from a bloody tap.
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| 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 |
| Clinical Significance cont'd Proteinuria related to kidney impairment may be due to glomerular membrane damage caused by toxic agents, immune complexes found in lupus erythematosus, or streptococcal glomerulonephritis. The amount of protein present in urine samples from patients with glomerular damage usually ranges from 10-40 mg/dl. If the urinary protein is due to a disorder that affects tubular reabsorption, the urine protein quantities will be much greater. In patients with multiple myeloma, proteinuria is due to the excretion of the Bence Jones protein. This low molecular weight protein produced by a malignant clone of plasma cells circulates in the blood and is filtered in the kidneys in quantities exceeding the tubular capacity. This excess protein is excreted in the urine. | View Page |
| Clinical Significance No blood is found in the urine of healthy individuals although samples from menstruating females, frequently, but not always, test positive for blood. Hematuria is associated with renal or genital urinary disorders in which the bleeding is the result of irritation to the involved organs or trauma. Examples include renal calculi, pyelonephritis, glomerulonephritis, tumors, trauma or exposure to toxic chemicals or drugs and/or strenuous exercise. Hemoglobinuria may be due to the lysis of red cells within the urinary tract. If it is caused by intravascular hemolysis, the hemoglobin is then filtered through the glomeruli. In the normal individual, the hemoglobin molecule attaches to haptoglobin and in this way bypasses the kidney filtration system. When the hemoglobin/haptoglobin system is overwhelmed, as in cases of hemolytic anemia, severe burns, transfusion reaction, infection or strenuous exercise, hemoglobin passes into the urine. | View Page |
| Independent and Dependent Variables In statistics, a variable is any quantity that is a part of a data point. Variables can either be dependent or independent. An independent variable is a quantity that is directly controlled by the observer or experimenter. The dependent variable, as its name suggests, depends on the independent variable. The dependent variable is often the quantity you want to measure, and it the result of the experiment or test.For example, you may want to determine the relationship between hemoglobin concentration and age. You select people of various ages, and then test their hemoglobin concentrations. Age is the independent variable, and is controlled by the experimenter (you can select which ages are in the experiment). The dependent variable is the resulting hemoglobin concentration.In some cases, these criteria may not be useful in determining which variable should be the independent variable, such as determining the correlation between the readings given by two different instruments for the same samples. In that case, there might be other criteria for selecting the independent variable. | 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 |
| 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 |
| 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 |
| The site most frequently used to collect bone marrow samples from adults is: | View Page |
| Bone Marrow Samples Bone marrow samples are obtained from the patient by a physician. The technologist is responsible for examining the sample macroscopically to ensure that it is adequate, making slides on the unanticoagulated sample and processing the remaining portions of the sample as required for procedures ordered. | View Page |
| Collection Sites The sites used to obtain bone marrow samples are:illiac crest (posterior, anterior)sternumspinal processestibia - (infants and newborns)The illiac crest is the most common site for bone marrow collection. Sternal aspiration can have serious or even fatal consequences if the needle penetrates the heart. | View Page |
| Collection of the Aspirate The marrow aspiration is usually performed before a biopsy is done. A syringe is attached to the needle, the plunger is pulled and 1.0-1.5 ml. of marrow particles and blood from marrow sinuses is withdrawn. If additional bone marrow samples are needed, a separate syringe must be used each time. If more than 2 cc. per syringe is taken out, the blood to marrow ratio will be too high and the preparations will not accurately reflect the marrow contents. As the marrow is aspirated into the syringe the patient will feel some pain and pressure even though local anesthetic has been administered. | View Page |
| Lymphocytes Lymphocytes are often located in nodules and these nodules are unevenly distributed throughout the marrow so the lymphocyte count may vary in bone marrow samples from different sites. Plasma cells are often found clustered around blood vessels. Monocytes seem to congregate about arterioles in the center of the cord. | View Page |
| Which of the following types of controls can be used to measure accuracy of a laboratory's methods? | View Page |
| Internal Quality Control Internal quality control is set up within a laboratory to monitor and ensure the reliability of test results from that laboratory.The primary tool for internal quality control is called a control. A control is a specimen with a predetermined range of result values, called control values, that is processed in the same manner as a patient sample. Control samples are processed with each series or run of patient samples.If the result of a test on a control sample is different from its known value, this indicates a problem in the equipment or the methods being used. | View Page |
| Control Materials Control materials are made to match patient samples in physical and chemical characteristics. Control samples are often made with biological material.Control samples are tested in the same way as patient samples. If the results from testing a control sample are not within the acceptable ranges, we assume there has been a problem in the test procedure, equipment, or the samples themselves. There are many criteria for rejecting a test based on the control samples measurements; these criteria will be detailed further in a later section.Patient results are not reported until the cause of the problem has been found, the problem resolved, and the controls re-run to verify that everything is working normally. | View Page |
| Use of Controls An internal quality control program must monitor results both in the normal range and in the abnormal range. For each test, there is one control in the normal range and one or two abnormal controls. Abnormal controls may be in the unhealthy but physiologically possible range, or outside what is physiologically possible, or both. Testing in many ranges ensures that the procedures are accurate for a wide range of patient results. Controls are run at least as often as specified by the instrument manufacturer. Controls should also be run whenever there is concern about the quality of results or stability of the testing system, or if the results of previous controls were not acceptable.If a problem is discovered, the samples in previous runs of the instrument may also have been affected. Once the problem(s) are corrected, it may be necessary to go back and re-run previous samples working in reverse order, until the retested results match the original results. | View Page |
| External Quality Control External quality control is performed to ensure the reliability of test results between different laboratories. It is also required by CLIA for laboratory accreditation. External quality control is generally accomplished through proficiency testing (PT). In proficiency testing, simulated patient samples are sent out to laboratories for testing. The CLIA standards for handling proficiency testing specimens are as follows: PT samples must be tested with the laboratory's regular patient load. PT samples must be tested the same number of times that patients' samples are tested routinely. Laboratories participating in PT programs must not engage in interlaboratory comparison of PT sample results. Laboratories may not send PT samples to another laboratory for analysis. Laboratories must document all steps of processing for PT samples. PT is required for only the primary method used for testing of analytes in patients' samples during the period covered by the PT event.In return for their participation, the laboratory will receive the following information: results for each analyte sample mean result for each analyte standard deviation of results by the comparative method number of laboratories using the same method standard deviation index (SDI) lower and upper limits of acceptability of resultsPT results that are between the lower and upper limits of acceptability are considered satisfactory. For chemistry, 80% of samples must test within the acceptable range for the PT to be considered successful. External quality control serves several purposes, including: providing a check on internal quality control detecting errors in a lab's methods providing a comparison of testing methods, which is useful in selecting new methods | View Page |
| Are the following statements about controls true of false? | View Page |
| Which of the following statements about external quality control are true? | View Page |
| Which of the following statements about CLIA testing requirements are true? | View Page |
| Mean and Standard Deviation For each new lot of control materials, new control values must be calculated, and acceptable ranges established. The values necessary for calculating the acceptable ranges are the mean and standard deviation. At least 20 samples are necessary for good statistical data.The mean is calculated by adding all of the values, and dividing by the number of values. The formula is: For example, suppose you wanted to find the mean of the values 4, 6, 2, 8, and 5. The mean is: The standard deviation (abbreviated s or SD) is calculated according to the following formula:That is, calculate the deviation from the mean for each point, square those results, sum them, divide by the number of points minus one, and finally take the square root. For example, the deviations from the mean in the above example are -1, 1, -3, 3, and 0. The squared deviations are 1, 1, 9, 9, and 0. The standard deviation is therefore: The standard deviation will be larger if the data are spread out and smaller if the data are closely clustered about the mean. | View Page |
| Levey-Jennings Quality Control Charts Quality control charts are used to record the results of measurements on control samples, to determine if there are systematic or random errors in the method being used. The most common type of chart is the Levey-Jennings chart.There should be a separate control chart for each method being monitored, and separate charts for normal and abnormal controls. The mean and standard deviation of the control being used should be noted on the chart. These should be determined based on at least 20 measurements over 20 days. Here is an example of a Levey-Jennings chart. Each time the control is tested, the result is marked on the chart at the appropriate standard deviation level. For instance, if the mean for a control is 15 and the standard deviation 5, if you test a control, and get a value of 22.5, the chart is marked at +1.5 SD for that day. | View Page |
| Westgard Multi-Rules Quality control charts are examined to see if there are problems in the procedure being tested. The Westgard rules are one tool that can help to determine whether there is a problem, and whether that problem is due to random or systematic error.The six Westgard multi-rules are: 12S rule: this rule applies when at least one result falls more than two standard deviations above or below the mean. This is a signal that the run must be examined in further detail, and does not in itself warrant discarding the run. However, if all of the results are with in 2s, the run should be accepted. 13s rule: this rule applies when a result falls outside of the 3s limit. The run is rejected, and a random error has probably occurred. 22S rule: this rule applies when two consecutive results exceed the +2 or the -2 standard deviation limit. The controls could be normal, abnormal, or one of each. A violation of this rule usually indicates a systematic error. The run is rejected. R4S rule: this rule applies when the difference between the highest and lowest result of a run exceeds 4 standard deviations. This rule detects random errors. The run is rejected. 41S rule: this rule applies when four consecutive control samples all exceed the +1 or the -1 limit. The controls could be normal, abnormal, or a combination of the two. This rule detects systematic errors. The run is rejected. 10x rule: this rule applies when 10 consecutive controls all fall on the same side of the mean, either above or below. This rule detects a systematic error. The run is rejected.Some labs choose not to use all of the Westgard rules; however, it is recommended that all labs use at least two rules, one that can detect systematic error and one that can detect random error. | View Page |
| Tips on Using the Westgard Rules The Westgard rules can be very helpful in determining errors, but can be confusing. Here are some hints and guidelines on using the Westgard rules: Run at least two controls, one normal and one abnormal. Each should be plotted on its own chart. The Westgard rules call for accepting a run if the control measurements are within 2 standard deviations. However, it is still possible for all measurements to be within this limit, and still violate rules 10x or 41S. You may want to check for violation of these two rules, even if the run passes rule 12S. The 12S rule is meant to simplify and speed up error-checking, and using it may result in fewer errors detected. Visit the www.westgard.com for more information. For the 22S, 41S, and 10x rules, make sure you review the normal controls, the abnormal controls and a combination of the two. For example, the 10x rule applies if the past 3 normal controls and the past 7 abnormal controls have all been above their respective means. For the rules that look back over several runs, it may be necessary to look at the control charts for previous months. The rule that is broken provides a clue as to whether the error was systematic or random. This can aid in diagnosing the problem with the procedure. If any rule is broken, do not report patient results until the problem, if any, has been resolved. Once the problem has been resolved, it may be necessary to redo patient samples from previous runs, especially if the error was systematic. | View Page |
| Description of Specialties (3) Specialists in radioassay use radionuclides to determine the chemical makeup of body fluids such as blood and urine.
Specialists in blood gas analysis evaluate lung and breathing function by levels of oxygen, carbon dioxide, pH, and hemoglobin with automated tests.
Specialists in histology examine cellular and tissue samples using fixation, dehydration, embedding, microtomy, frozen sectioning, staining, and other similar techniques. Histology specialists licensed as technicians can perform specimen processing, embedding, cutting, staining, and frozen sectioning only under the general supervision of a director, supervisor, or technologist.
Specialists in cytology process and interpret samples relating cytopathological disease. Non-gynecological cytology preparations can be screen by a specialist in cytology but final review and interpretation must be done by a physician. | View Page |
| Technologist Responsibilities Technologists are primarily responsible for performing testing and reporting results. Other duties include:Performing only those tests authorized by the director and for which the technologist is licensed by specialty.Following the laboratory's procedure for specimen handling, running tests, reporting results, and maintaining recordsParticipating in proficiency testing and demonstrating that proficiency samples are tested in the same manner as patient samplesFollowing quality control and instrument calibration policiesDocumenting corrective action taken when results exceed the laboratory's acceptable performance valuesUsing professional judgment to ensure test validity, including recollecting and retesting samples that may be flawed or contaminated | View Page |
| Technician Responsibilities Technicians perform laboratory testing under direct and general supervision, as required by the test and the conditions of the technician's license. Other duties include:Performing tests only as authorized by the director and the technician's licensed specialty.Following the laboratory's procedure for specimen handling and running testsParticipating in proficiency testing and demonstrating that proficiency samples are tested in the same manner as patient samplesFollowing quality control and instrument calibration policiesDocumenting corrective action taken when results exceed the laboratory's acceptable performance valuesIdentifying potential problems with tests or report resultsNotifying a technologist or supervisor if results are outside the laboratory's acceptable performance levels | View Page |
| System failure can be avoided by ________ the procedure for identifying patients who have blood samples drawn for crossmatching. | View Page |
| Which statement(s) describe potential causes of medical errors involving the blood bank? | View Page |
| JCAHO Patient Safety Goals
JCAHO adopted national patient safety goals for laboratories and many other healthcare organizations.
2006 Laboratory Services National Patient Safety
Goals
These goals are directly quoted. | View Page |
| Preanalytic Medical Errors Medical errors are possible at any phase of patient care.
Preanalytic medical errors begin with the patient and the places he or she receives medical care--the bedside, chair-side, hospital, clinic-- wherever the patient is located.
The possibility for these errors continues through the ordering processes for medical tests or procedures.
Preanalytic medical errors also happen with the systems, processes, and procedures involved in the collection of test samples from patients.
These medical errors occur during the time before the laboratory is directly involved in assaying and analyzing test samples.
Examples of preanalytic medical errors:
Wrong patient
Wrong test
Wrong timing
Wrong collection procedure
Wrong tube, container, additive
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| Analytic Medical Errors Medical errors also occur in the analytic processes and systems of patient care.
Analytic errors begin with problems in the transportation of medical samples for testing. These occur between the patient's location and the testing facility. They happen during the time between specimen collection and arrival in the testing facility.
The possibility for analytic medical error continues through the analytic processes and procedures of medical testing.
Analytic medical error also includes systems, processes, and procedures involved in the transmission and reporting of test results.
These medical errors occur during the time the laboratory is directly involved in receiving, analyzing, and reporting test samples.
Examples:
Wrong transport storage or temperature
Delay in transport
Sample mixup during transport
Acceptance of unacceptable samples that are insufficient, hemolyzed, or clotted
Centrifugation, mixing, and other test sample preparation errors
Wrong test procedures
Test control errors
Sample mixup during testing
Outdated reagents
Wrong reagents
Test result mixup
Transcription errors
Data reporting process errors
Result report delays | View Page |
| Factors that Contribute to Medical Errors | View Page |