Block, Darci R

Abstract Objectives The aims of this study were to (1) establish the maximum allowable interference limits for hemolysis, lipemia, and icterus for chemistry analytes tested in body fluid samples and (2) assess the effectiveness of serial dilution to mitigate spectral interferences. Methods Residual body fluids from clinically ordered testing were mixed (<10% by volume) with stock solutions of interferent (spiked) and compared with a control spiked with an equal volume of 0.9% saline. The analytes were measured on the Roche cobas c501 instrument. Difference and percentage difference were calculated and compared with allowable total error limits. A subset of samples were serially diluted with 0.9% saline. Mean (SD) difference and percentage difference were calculated. Results The interference thresholds were lower than the package insert for lactate dehydrogenase, cholesterol, triglycerides, and total protein for hemolysis; amylase, cholesterol, and total protein for icterus; and albumin for lipemia. Only cholesterol and triglyceride results returned to baseline upon dilution of icteric samples. Conclusions Interference thresholds in body fluids were lower than blood for 6 analytes. Diluting interferences that surpass these limits does not produce reliable results that are comparable to the baseline results before spiking in the interferent.

Abstract Background Clinical laboratories are constantly changing with automated analyzers and total lab automation (TLA) implemented and replaced over time. Some benefits of newer technologies include decreased specimen volume requirements, less need for repeat testing, and greater throughput. Recent implementation of new analyzers and replacement of TLA in the Central Clinical Laboratory (CCL) at Mayo Clinic, Rochester, MN, prompted the laboratory to reassess blood collection volumes for commonly ordered tests. Objectives The aim of this study was to evaluate whether updating the blood collection volumes for clinical chemistry and immunoassay tests performed in the CCL could reduce the volume of blood collected from patients and the number of blood collection tubes utilized. Methods Nearly 100 different serum assays from the CCL test menu were reviewed including the basic and comprehensive metabolic, hepatic function, renal function, electrolyte, and lipid panels as well as thyroid function tests, enzymes, hormones, electrolytes, and iron status tests. Cortisol, ferritin, folate, and Vitamin B12 testing were performed on the Beckman DxI800; all other testing was on Roche Diagnostics Cobas 8000 chemistry (ISE, c701, c502) and immunoassay (e801) analyzers. Updated blood volumes for each assay were calculated utilizing manufacturer’s analytical volumes and “dead volume” requirements. Baseline data retrieved from the laboratory information system (LIS) included blood collection volumes and number of tubes collected for 128 patients with physician-orders for laboratory testing on 5/2/21. The collection logic was then updated in the test LIS environment using the new blood volumes requirements and applied to the same 128 orders. Blood volumes and number of tubes collected per order were compared before and after the volume updates. Results Baseline data from 128 unique orders showed that 414 total tubes were collected with a median(range) of 3 (2–6) tubes per order and 5 (1–18) tests per tube. The total volume of blood requested at baseline was 2065 mL. Post-intervention, 197 tubes were needed with a median(range) of 2 (1–3) tubes per order and 13 (1–30) tests per tube. The total volume of blood requested after updating volumes was 851 mL. Conclusions The practice of reviewing and updating specimen volume requirements when replacing or implementing new analyzers or TLA can greatly reduce the volume of blood collected from patients and the number of blood collection tubes per order. In this study of 128 physician orders for common laboratory tests, updating blood collection information in the LIS reduced the requested blood collection volumes by 59% and decreased the number of blood collection tubes required by 52%. This not only benefits patients because less blood is collected but also conserves blood collection tubes and reduces supply chain demands. Additionally, fewer tubes on the TLA system has the potential to improve throughput and test turnaround time.

Abstract Background Total protein is measured in serum and body fluids as part of routine evaluations of general nutritional status and differentiating exudative and transudative effusions. Spectral interference thresholds for bilirubin (e.g., icterus) is set by assay manufacturers to prevent inaccurate results from being reported. The Roche Cobas serum total protein assay package insert states no significant interference from bilirubin up to an icterus (I) index of 20. Body fluids tend to have lower total protein concentrations; therefore, thresholds were derived during prior validation studies and set to I = 10, a threshold that is exceeded routinely. Laboratories can mitigate some interferences by recollecting (e.g., hemolysis) or ultracentrifuging (e.g., lipemia) specimens. Serial dilutions are another option used; however, it is imperative that the laboratory understands the mechanism of interference and can demonstrate that it is mitigated by sample dilution. The aim of this study was to investigate whether bilirubin interference can be mitigated by sample dilution in pleural fluid, peritoneal fluid, and serum specimens. Methods Residual clinically ordered pleural fluid (n = 3), peritoneal fluid (n = 3), and serum (n = 3) samples submitted for protein testing were split into two equal volume aliquots with concentrations ranging 2.7 to 4.3 g/dL in pleural fluids, 3.9 to 5.4 g/dL in peritoneal fluids, and 3.8 to 11.0 g/dL in serum. One aliquot was spiked (<10% by volume) with a bilirubin conjugate solution (∼1000 mg/dL) to surpass the icterus index threshold (spiked). The second aliquot was spiked with an equal volume of 0.9% saline (control). Total protein was measured on the Roche Cobas c701 instrument in both samples to calculate difference (Spiked-Control). The mean(SD) difference was calculated for each sample type. Each spiked sample was serially diluted (2-fold, 4-fold and 8-fold) with 0.9% saline. Total protein was measured for each diluted sample. Mean(SD) difference was calculated (DilutedX-Control), where X = 2-fold, 4-fold, 8-fold. Linear regression analysis was performed by plotting the measured (x-axis) vs expected (y-axis) total protein concentration. Slope, y-intercept, and R2 were determined from serially diluted samples where the expected concentrations were derived using the spiked concentration to replicate the practice of diluting an icteric sample. Results Bilirubin spiking (average icterus index = 33.5) into pleural fluid, peritoneal fluid, and serum, respectively demonstrated mean(SD) bias (g/dL) = −1.0(0.2), −0.9(0.0), and −0.7(0.0). Subsequent 2-fold dilution demonstrated mean(SD) bias (g/dL) = −1.0(0.2), −1.0(0.0), and −0.8(0.1), 4-fold dilution with mean(SD) bias (g/dL) = −1.1(0.2), −1.0(0.0), and -1.0(0.1), and 8-fold dilution with mean(SD) bias (g/dL) = −1.3(0.2), −1.0(0.0), and −1.4(0.1). Diluting pleural, peritoneal, and serum samples, respectively spiked with bilirubin resulted in slope = 0.99, 1.00, and 0.99; y-intercept = 0.04, 0.01, and 0.07; R2 = 0.99, 0.99, 0.99. Conclusion The dilutions exhibited a linear dilution response, however the dilution results never returned to baseline (non-spiked) concentration. Laboratories should exercise caution when conducting serial dilutions to diminish bilirubin interference in samples when measuring total protein as the mechanism of interference does not appear to be reversible by dilution. This behavior was demonstrated in both body fluids and serum.

Abstract Background Serum cortisol, measured by automated immunoassay, is a rapid test used for the initial assessment of adrenal dysfunction. Physiologic serum cortisol concentrations are influenced by many factors including diurnal variation, stress, and patient age. In the absence of established pediatric reference intervals (RIs), our laboratory has utilized adult RIs to flag pediatric cortisol results as abnormally high or low in the electronic health record. However, pediatric cortisol RIs recently defined by the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) are considerably lower than the adult RIs currently in use. This could cause pediatric cortisol results to be incorrectly flagged as “low” when they are within the age-specific RI and lead to unnecessary follow-up testing. The aim of this study was to determine the impact of implementing CALIPER pediatric cortisol RIs on the rate of “low” result flagging for pediatric patients. Methods AM cortisol results for patients age <18 years reported between 10/2012- 09/2022 were obtained from the Mayo Clinic data repository. These results contained values measured by both Beckman Access (n = 3 818) and Roche Cobas (n = 625) immunoassays. Results classified as abnormal “low” by current adult RIs (Beckman: 7–25 mcg/dL, Roche: 4.8–20 mcg/dL) were compared to results which would flag low according to the appropriate method- and age-specific RIs defined by CALIPER (Beckman: 1-<13 yrs 2.19–12.8 mcg/dL, 13-<16 yrs 3.03–17.1 mcg/dL, 16-<19 yrs 3.78–19.4 mcg/dL; Roche: <1 yr 0.58–17.2 mcg/dL, 1-<12 yrs 2.39–14.9 mcg/dL, 12-<19 yrs 3.63–17.4 mcg/dL). The proportion of results flagging low by adult versus pediatric RI were compared by chi-squared test, with P < 0.05 considered significant. Results For Beckman, the percentages of pediatric patient cortisol results flagging low using the adult RI versus (vs) the pediatric age-specific RI were: 35% vs 7% for 1–12 years of age (P < 0.001, n = 1866), 22% vs 5% for 13–15 years (P < 0.001, n = 966), and 16% vs 5% for 16–18 years (P < 0.001, n = 986). For Roche, the same analysis yielded: 52% vs 9% for 0–1 years (P = 0.001, n = 23), 14% vs 8% for 1–11 years (P = 0.03, n = 238), and 9% vs 6% for 12–18 years (P = 0.16, n = 364). Conclusion The implementation of pediatric RIs for serum cortisol will have a significant impact on the number of “low” result flags for patient results on both Beckman and Roche platforms. Statistically significant decreases in the percentage of low result flags were observed on both platforms for all age ranges except for the age bracket of 12–18 years by Roche. Furthermore, pediatric RIs appeared to produce more consistent rates of abnormal results across methods and age ranges, with all groups flagging low at a rate of 5–9%, whereas the same age ranges with adult RIs flagged at rates ranging from 9–52%. Lowering the RIs for pediatric cortisol to more appropriate ranges as identified by CALIPER will decrease the number of “low” flag results. This has the potential to decrease unnecessary follow-up, including repeat testing and further diagnostic procedures such as ACTH stimulation testing. Implementation of pediatric RIs has potential benefits regarding stress and cost for patients and parents, alarm fatigue for physicians, and utilization of laboratory resources.

Abstract Background Measuring the concentration of albumin, amylase, bilirubin, cholesterol, creatinine, glucose, lactate dehydrogenase (LDH), lipase, total protein(TP), triglycerides, and urea nitrogen(UN) in body fluids(BFs) provides important information to aid in clinical decision-making. The range of expected values of these analytes in BFs may not match serum, and the distribution by fluid type is not well described. Quality control (QC) materials are designed to reflect clinically relevant concentrations in blood. Hence, the measuring ranges for assays modified for BF testing vary in suitability. Laboratorians and manufacturers would benefit from understanding the overlap in BF and serum analyte concentrations. The aim of this study was to characterize the range of BF analyte concentrations compared to serum and assess the suitability of QC materials used on these assays. Methods A retrospective analysis was performed for the following analytes in BFs with reportable ranges(including maximum dilution factor): albumin = 0.2–12.0 g/dL(×2), amylase = 3–14 000 U/L(×100), bilirubin = 0.1–72.2 mg/dL(×2), cholesterol = 4–8000 mg/dL(×10), creatinine = 0.1–92.0 mg/dL(×4), glucose = 2–3375 mg/dL(×5), LDH = 10–9000 U/L(×10), lipase = 3–300 000 U/L(×1000), TP = 0.2–36.0 g/dL(×3), triglycerides = 4–8850 mg/dL(×10), and UN = 2–300 mg/dL(×3). Chemistry tests were run on a cobas® 6000 c501 (Roche Diagnostics,Indiana). Patient analyte concentration and fluid type results reported between 9/16/2019 and 1/27/2022 at all Mayo Clinic locations were extracted from an institutional database of electronic medical record data. Serum results were included for comparison. Descriptive statistical analyses (median and range) were performed with R (version 4.2.2)/R Studio(version 2022.12.0). QC materials for BF testing were purchased from Bio-Rad (Multilevel Qual, Levels 1 and 3; Hercules, CA, USA). Target concentrations are reported. Results Conclusion BF median (range) concentrations are similar or higher for bilirubin, creatinine, glucose, lipase, and UN. Serum QC material is likely appropriate for these assays in BFs. BF median(range) concentrations are lower for albumin, cholesterol, TP, and triglycerides suggesting that serum QC material may not be well suited for BFs. The need for extended dilutions may impact BF amylase and lipase.

Abstract Background Body fluid testing in the clinical chemistry laboratory is a cornerstone in the diagnostic workup of pathological effusions. Laboratorians may not be aware of the preanalytical workflows used in the collection of body fluids though the value is evident whenever processes change or issues arise. The analytical validation requirements can vary depending on the regulations dictated by the laboratories’ jurisdiction and accreditor requirements. Much of analytical validation hinges on how useful testing is to clinical care. Usefulness of testing varies with how well established and incorporated the tests and interpretation are in practice guidelines. Content Body fluid collections are depicted and described so clinical laboratorians have a basic appreciation of what specimens are submitted to the laboratory for testing. A review of validation requirements by major laboratory accreditation entities is presented. A review of the usefulness and proposed decision limits for common body fluid chemistry analytes is presented. Body fluid tests that show promise and those that are losing (or lost long ago) value are also reviewed. Summary The total testing process from collection to result interpretation can be complicated and easily overlooked by the clinical laboratory. This review aims to improve the understanding and awareness of collections, validation, result interpretation, and provide an update on recent trends.