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Abstract Background Analytical outliers (fliers) occur with most troponin methods and can adversely affect patient management. We compared the analytical outlier rates for the Roche 5th generation Troponin T STAT (cTnT) reformulated (biotin-insensitive) reagent using a Cobas e601 analyzer (Indianapolis, IN) to rates observed in a previous study using the biotin-sensitive reagent on a Cobas e411 analyzer. Methods Plasma separator tubes (PST) were collected from hospital patients with orders for clinical cTnT testing. PST samples were centrifuged for 3 min at 4000g and analyzed using the biotin-insensitive cTnT Gen 5 assay on a Roche Cobas e601 immunoassay system. If samples displayed measurable cTnT Gen 5 (≥6 ng/L), samples were stored at 2–8 °C within 2 h of initial measurement (N = 2555). Within 24 h of initial analysis, samples were warmed to room temperature, aliquoted, re-centrifuged at 4000g for 3 min, and cTNT was re-measured on the same analyzer. Outlier rates were compared to a previous study (N = 1997) using nearly identical study design but using biotin-sensitive Roche 5th Gen cTnT reagent on an e411 analyzer. We defined analytical outliers by three methods: Repeat value (after aliquoting and re-centrifugation) that differed from the initial value for all samples with measurable cTnT by a critical difference (CD): where CD = z × √2 × SDanalytical, with a z-value of 3.719 and using SD from best fit line of precision vs cTnT concentration. Precision experiments were performed using four plasma pools in 5 × 5 precision experiment on the e411 analyzer. Using the same CD but considering only initial cTnT values <100 ng/L, those are most likely to be clinically significant or lead to misinterpretation. Using CD for initial values <100 ng/L, and a fixed 10% difference between replicates for initial values ≥100 ng/L, accounting for our practice of reporting the cTnT “delta” in percent (rather than absolute) for values ≥100 ng/L. Comparisons of outlier rates between the biotin-sensitive and biotin-insensitive reagents were performed using Pearson’s chi-squared test. Results Using the CD the total number of outliers that were observed for the biotin-insensitive reagent on the e601 was 208/2555 (8.1%), compared to 68/1997 (3.4%) on the biotin-sensitive reagent measured on the e411 (P < 0.0001). Outliers were observed in 138 (6.4%) of samples with initial values < 100 ng/L using the biotin-insensitive reagent on the e601 compared to 45 (2.6%) of such samples on the e411 (P < 0.0001). Using the Z score method to define outliers for initial values <100 ng/L and a fixed 10% to define outliers for initial values ≥100 ng/L, the outlier rate was 151 (5.9%) for the biotin-insensitive reagent on the e601 compared to 53 (2.7%) on the e411 (P < 0.0001). Conclusions Analytical outliers occurred more frequently using the reformulated (biotin-insensitive) reagent on the Roche Cobas e601 analyzer, compared to outlier rates observed for biotin-sensitive reagent on the Cobas e411.

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 Vasoactive intestinal peptide (VIP), a potent vasodilator, is produced by neuronal cells located in the central nervous system, the digestive, respiratory, and urogenital tracts, and the exocrine, thyroid, and adrenal glands. Increased circulating VIP is clinically useful to detect VIP-producing tumors in patients with chronic diarrheal diseases. Objective Develop a sensitive replacement radioimmunoassay (RIA) for VIP quantitation in human plasma due to the diminished supply of the antibody used in the previous in-house method. Method Patient VIP in EDTA plasma competes with labeled (125I) VIP for a limited number of primary rabbit polyclonal antibody (BMA Biomedicals, Augst, Switzerland) binding sites. Antibody-bound VIP is then complexed with a goat anti-rabbit secondary antibody and precipitated out of the solution with the use of polyethylene glycol and centrifugation. After the supernatant is discarded, the 125I signal from the pellet is counted on the Wizard2 gamma counter (Perkin Elmer, Waltham, MA). The measured signal is inversely proportional to the amount of VIP present in the patient’s sample. Method validation of the new assay included determination of imprecision (pooled human EDTA plasma), limits of detection and quantification, analytical measurement range (AMR), accuracy by spike recovery, interferences, cross-reactivity, stability, reference interval determination, and agreement with the current Mayo laboratory-developed assay. Results Stability studies on freshly collected EDTA plasma showed VIP is stable for 3 days ambient, 7 days refrigerated, and 14 days frozen. Intra-assay imprecision studies showed 8.3, 2.3, and 1.3%CV for mean VIP concentrations of 41, 144, and 304 pg/mL. Inter-assay imprecision was 12.9, 7.6, 5.2, and 7.5%CV for mean VIP concentrations of 30, 81, 180, and 308 pg/mL. The assay limit of detection was 29 pg/mL. The limit of quantitation was 30 pg/mL (%CV = 13%) and was established via precision profile. The AMR was 30–500 pg/mL (slope of 0.98, intercept of 3.0 pg/mL, and R2 of 0.97). The mean % spike recovery using a different preparation lot of calibrator material was 89% (range 83%–93%). The assay was not affected by up to 1000 mg/dL hemoglobin, 1000 mg/dL triglycerides, or 10 mg/dL bilirubin. Peptide histidine methionine 27, neurotensin, gastric inhibitory peptide, motilin, secretin, and glucagon do not cross-react in the assay. The 97.5th reference limit was <86 pg/mL (95% CI 81–90, n = 127). Positive percent agreement (PPA), negative percent agreement (NPA), and overall percent agreement (OPA) with the current Mayo VIP assay were 97, 82, and 90% respectively. Conclusion We have developed a replacement VIP RIA. This assay has a lower limit of quantitation and a broader AMR than the current assay. Concordance with the current assay was acceptable.

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 Gangliosides are a family of complex lipids that are molecules composed of glycosphingolipid with one or more sialic acid linked on the sugar moieties. Gangliosides are recognized to play an important role in many biological processes and the alterations in ganglioside profiles have been observed in some neurodegenerative diseases, neuropathies and lysosomal disorders. Gangliosidoses are a group of inherited lysosomal enzyme deficiencies characterized by an accumulation of incompletely degraded gangliosides in the lysosome. While the diagnosis of gangliosidoses can be accomplished by measurement of enzymatic activities and/or molecular genetic testing, biomarker analysis could facilitate monitoring affected patients, including those enrolled in clinical trials of new treatment approaches (ie., substrate reduction or gene therapies). We developed a rapid and sensitive LC-MS/MS assay that allows simultaneous quantification of multiple gangliosides and other glycosphingolipids and tested it in serum and plasma of patients with a diagnosis of GM2-gangliosidosis. Methods Gangliosides and other glycosphingolipids were extracted from 20 µL serum or plasma using chloroform:methanol (1:2, v/v). A multiplexed LC-MS/MS assay was developed that targeted several ganglioside species (GM3, GM2, GM1, GD3, GD2, GD1, GT3, GT2, GT1 and GQ1) along with several glycosphingolipid species (GlcCer, LacCer, Gb3, Gb4 and GA2). This assay was performed on a triple quadrupole mass spectrometer with scheduled MRM in both negative and positive ion modes after internal standards (GM3 18:0-d5, GM1 17:0, GA2 17:0 and Gb3 18:0-d3) were spiked into clinical samples. Results The multiplexed targeted assay applied to serum and plasma from controls (47 and 49 samples, respectively) and three GM2-gangliosidosis patients for identification and quantification of the targeted gangliosides and other glycosphingolipids. The abundance of GM2 and GM1 gangliosides inserum and plasma of patients with GM2-gangliosidosis was significantly higher than in the control group (P < 0.0001) whereas GM3 levels were significantly lower (P < 0.005). Other gangliosides including GD3, GD2, GD1 and GT1 and glycosphingolipids such as GlcCer, LacCer and Gb3 were not significantly different between these patients and controls. Conclusion A multiplexed targeted assay for glycosphingolipids including gangliosides was developed. This assay will be further validated for potential use in the diagnosis and monitoring of patients with additional gangliosidoses.

Abstract Background Low-density lipoprotein cholesterol (LDL-C) is the primary biomarker for assessing risk for atherosclerotic cardiovascular disease (ASCVD). However, multiple large studies have demonstrated greater accuracy using Apolipoprotein B (apoB). One obstacle to its widespread use is the lack of guideline endorsed apoB treatment targets. A recently published solution has proposed using population percentiles to calculate LDL-C using apoB values (PMID: 36366949). The LDL-C concentration correlated to an individual’s ApoB percentile may more appropriately reflect ASCVD risk compared to lipid panel LDL-C. Here we evaluated this approach using a cohort where LDL-C was measured with the gold-standard beta-quantification method (LDL-CBQ). Method Results from clinically ordered apoB, LDL-CBQ, and lipid panel were included (n = 18 852). Samples with triglycerides >1000 mg/dL or LpX were excluded. Total cholesterol, high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), and apoB were measured using Roche Cobas c501 analyzers. LDL-CBQ was performed using Beckman LE-80K ultracentrifuge and dextran sulfate-Mg/Cl precipitation. ApoB equivalent LDL-C (eqLDL-CapoB) was calculated according to linear regression of LDL-C percentiles against apoB percentiles described by the equation eqLDL-CapoB = 1.45(apoB)-25. Concordance was determined based on clinical thresholds for LDL-CBQ and eqLDL-CapoB. Results Median (IQR) apoB and LDL-CBQ was 98 (79−119) mg/dL and 120 (94−150) mg/dL, respectively. LDL-CBQ and eqLDL-CapoB were concordant in 60% of samples overall. Discordance between eqLDL-CapoB and LDL-CBQ shifted from primarily overestimating to underestimating as LDL-CBQ increased. Discordant eqLDL-CapoB was directly associated with TG and inversely associated with HDL-C. Conclusion The eqLDL-CapoB calculation is a useful tool to present apoB results in a more familiar context of LDL-C-equivalent units. The concordance findings largely confirm previously published results using eqLDL-CapoB. Furthermore, the pattern of HDL-C and TG suggests that a discordantly elevated eqLDL-CapoB is an indicator of a higher risk lipid profile. More investigation is needed to determine if eqLDL-CapoB is appropriate for widespread adoption.

Abstract Background Warfarin monitoring may be done at the point-of-care (POC) at home, in a clinic environment, or be performed using plasma specimens in a central laboratory. With a goal of standardizing International Normalization Ratio (INR) measurements and improving data integrity by enabling electronic transmission of results from any location, we evaluated two POC INR devices against an internal plasma INR reference method. Methods We conducted a multicenter study to test the accuracy of two commercially available point of care devices: Coag-Sense PT2 Meter (Coagusense, Inc., Fremont, CA) and CoaguChek XS Pro or XS Plus (Roche Diagnostics, Indianapolis, IN) compared with plasma INR values among warfarin treated patients. Bias and linear regression analysis were assessed for device-plasma INR comparisons. Warfarin dosing decisions were assessed for each device compared to an internal plasma INR reference method (Instrumentation Laboratories ACLTOP 500, 550, 750 analyzers (Werfen Diagnostics, Bedford MA) in one of three CLIA-certified laboratories. The thromboplastin used at our institution for INR measures is HemosIL RecombiPlasTin 2G (R2G) reagent (Werfen Diagnostics, Bedford MA) which has an International Sensitivity Index (ISI) of 1.0. Results Two hundred ninety-nine warfarin patients treated across three Mayo Clinic sites agreed to participate in the study. Common anticoagulant indications were atrial fibrillation (63.9%), venous thromboembolism (21.7%) and heart valve prosthesis (15.4%) with a 2.0–3.0 INR target range for 93.6% of patients. For the CoaguChek devices, 81.3% of values fell within 0.2 INR units of plasma INR referent and 95.3% within 0.4 units. The correlation between CoaguChek whole blood and plasma INR was excellent (R2 = 0.93). For the Coag-Sense device, 34.1% of values fell within 0.2 INR units and 60.2% within 0.4 INR units of plasma INR values, with a slightly weaker correlation between Coag-Sense whole blood and plasma INR (R2 = 0.83; P < 0.0001). Mean (± standard deviation) deviation from plasma INR was 0.04 ± 0.2 for CoaguChek compared to 0.4 ± 0.3 for Coag-Sense (P < 0.0001). The difference between POC devices was largely attributed to systematic negative bias between Coag-Sense and ACL TOP plasma INR values. Using the plasma INR as the reference method for dosing decision making, appropriate dosing recommendations would have occurred for 97.7% of CoaguChek and 81.6% of Coag-Sense results. Conclusion Compared to our institution's plasma reference method, INR values obtained from the CoaguChek devices (XS Pro and XS Plus) exhibited less systematic bias compared to the Coag-Sense values. This translates to greater percentage of concordant management decisions between POC and laboratory plasma INR methods when the CoaguChek device is used.

Abstract Background Glycerol kinase deficiency (GKD) is a rare X-linked recessive disorder biochemically characterized by hyperglycerolaemia. Adults with GKD are usually asymptomatic. However, they often present with pseudohypertriglyceridemia because most clinical triglyceride methods measure enzymatically generated glycerol from triglycerides. Currently, assays for measuring plasma glycerol are lacking. We describe a preliminary validation of glycerol measured by nuclear magnetic resonance spectroscopy (NMR). Methods Serum glycerol was measured by NMR (Numares AG, Regensberg, Germany) using a Ascend 600 NMR (Bruker, Billerica, MA). Stability and matrix effects were determined by repeat measurement of 10 freshly collected samples following various storage conditions. Normal donors were recruited for reference interval (n = 143). Analytical specificity was assessed by spiking red cell lysate, bilirubin and intralipid. Precision was assessed by measuring three pools five times for five days. Accuracy was performed by spiking known concentrations of glycerol. Accuracy was assessed using an enzymatic method (Randox Laboratories, Ltd. County Antrim, UK) on a Roche Cobas c501 (Roche Diagnostics, Indianapolis, IN) as reference. Results Measured glycerol increased over time in both serum and plasma, however, prepared samples were stable on the instrument for up to 24 hours. Measured glycerol was not impacted by hemoglobin (1000 mg/dL) or bilirubin (625 mg/dL), however, spiking Intralipid® prevented any measurement. NMR and enzymatic assays strongly correlated, with a constant bias (Table 1). Repeatability and reproducibility were <10% CV and % recovery from glycerol standard were >80% for all concentrations. Conclusion Pre-analytical stability, imprecision and accuracy were acceptable for clinical measurement of glycerol using NMR. While there is a significant systematic bias with enzymatic methods, further studies in normal and disease populations will be necessary to determine clinical impact.

Abstract Background An accurate and reliable measurement of glomerular filtration rate (GFR) is essential to monitor for rejection and disease progression post-kidney transplantation. Measured GFR (mGFR) is the current gold standard. However, it has scarce availability at many centers and is labor intensive. Newer estimated GFR (eGFR) methods containing cystatin-C and/or other biomarkers have not been clinically validated in a post-transplant cohort. In this study, we evaluated a new NMR-based GFR (GFRNMR) equation that contains serum creatinine, cystatin C, myoinositol, and valine in post-kidney transplant recipients in a clinical routine setting. Methods Venipuncture for serum collection was performed immediately prior to mGFR measurement with urinary iothalamate clearance in 67 post-kidney transplant recipients. Serum was stored at 4°C and measured by NMR no later than four days after collection. eGFR was assessed using the following equations: i) GFRNMR, ii) CKD-EPI2021Cr (creatinine) and iii) CKD-EPI2021Cr,Cys (creatinine and cystatin-C). Bias was calculated as “eGFR—mGFR” for all equations. The Bootstrap method was employed to assess pairwise significance levels between bias distributions interquartile ranges (IQR), and P-value correction was determined with the Benjamini & Hochberg method. Precision, which was defined as percentage of samples within ±30% and ±15% from the mGFR value (P30 and P15, respectively), was calculated for each equation. Pairwise comparisons were made using McNemar’s Chi-squared and Benjamini & Hochberg correction. Precision was defined as the proportion of eGFR values concordant with mGFR values by CKD clinical stage. Results P30 for GFRNMR was significantly higher than CKD-EPI2021 Cr,Cys (97% vs 84%, P < 0.01) and higher than CKD-EPI2021 Cr (88%, P = 0.08). Similarly, P15 for GFRNMR was 63%; higher than for CKD-EPI2021 Cr (54%, P = 0.35) and CKD-EPI2021 Cr,Cys (51%, P = 0.19). Bias IQR for GFRNMR was 9.5 mL/min/1.73 m2 (median bias 2.0 mL/min/1.73 m2); significantly smaller than for CKD-EPI2021 Cr (Bias IQR 15.55 mL/min/1.73 m2, P < 0.05; median bias 1.47 mL/min/1.73 m2), and smaller than CKD-EPI2021 Cr,Cys (Bias IQR 14.4 mL/min/1.73 m2, P = 0.09; median bias 2.3 mL/min/1.73 m2). A broad range of medications such as immune modulators, and comorbidities such as hypertension, thyroid dysfunction, and coronary artery disease, did not interfere with GFRNMR performance. Conclusion NMR-based eGFR was less biased, more precise, and more accurate compared to creatinine and cystatin-C CKD-EPI eGFR equations in a post-kidney transplant setting. These findings suggest GFRNMR may more closely resemble mGFR in post-transplant patients and warrants further study on its potential use to improve clinical management in this patient group.

Abstract Background There is growing evidence that low-density lipoprotein-triglyceride (LDL-TG) may be a better biomarker to define atherosclerotic cardiovascular disease (ASCVD) risk than LDL-cholesterol (LDL-C), which is currently used to stratify risk and as a treatment goal. Because LDL-TG typically requires additional advanced lipid testing, we developed an equation for estimating LDL-TG (eLDL-TG) from the results of the standard lipid panel. Methods Results from a general dyslipidemic population (N = 40 202), which were obtained with beta-quantification (BQ) reference method, were randomly divided into a training and validation datasets and used to develop the equation for estimating LDL-TG shown in Fig. 1A. Association of Sampson-NIH-LDL-C (NIH-LDL-C) and eLDL-TG with ASCVD risk markers was done in the National Heart and Nutrition Examination Survey (NHANES) (N = 37 053) and with ASCVD events in the Atherosclerosis Risk in Communities (ARIC) study (N = 14 749). Results The comparison between eLDL-TG and measured LDL-TG was only modest (R2 = 0.601, slope = 0.611), but eLDL-TG (Fig. 1B) showed better risk stratification than NIH-LDL-C (Fig. 1C) by survival curve analysis in ARIC. Moreover, receiver-operating characteristic (ROC) analysis showed that eLDL-TG was better than all other lipid-marker tests for ASCVD events (AUC: eLDL-TG = 0.633, HDL-C = 0.627, sdLDL-C = 0.621, remnant-cholesterol = 0.613, NonHDL-C = 0.613, TG = 0.603, apoB = 0.598, NIH-LDL-C = 0.590, TC = 0.568). In NHANES, eLDL-TG was more strongly associated with hypertriglyceridemia, obesity, diabetes, metabolic syndrome and increased high-sensitivity C-reactive protein than NIH-LDL-C. Inclusion of eLDL-TG in a Cox-Proportional Hazards Model along with other conventional risk factors (age, sex, race, diabetes, systolic blood pressure, smoking, HDL-C, and total cholesterol) did not further improve risk prediction. Conclusions Like LDL-C, LDL-TG can also be estimated from the results of the standard lipid panel. It is a better univariate risk marker than LDL-C and hence can be useful for initial ASCVD risk stratification.