Citations

Abstract Background Capillary self-collection (CSC) devices allow patients to collect blood samples at home, potentially reducing outpatient phlebotomy visits. This study aimed to (a) assess the patient experience with multiple commercially available CSC devices; (b) determine which laboratory tests are commonly ordered together, which could reduce the need for appointments; and (c) evaluate the analytical performance of these tests using CSC samples. Methods User experience for 3 CSC devices was evaluated. Clinical feasibility was determined by comparing test results in paired sera collected by venipuncture (VP) and CSC devices. VP samples were centrifuged within 2 h and tested immediately. CSC sera were centrifuged and tested both immediately and after delayed processing to simulate shipping temperature extremes (−20°C or 40°C). Basic metabolic panel, lipid panel, thyroid function cascade, and prostate-specific antigen were evaluated. Differences between VP and CSC collections were characterized according to their statistical and clinical differences. Results Patients reported CSC devices were easy to use and painless. Clinically significant differences between VP and CSC sera processed immediately were limited to potassium and bicarbonate. Following delayed processing of CSC serum samples (48 h at room temperature), clinically significant differences in potassium, bicarbonate, and glucose were observed. Frozen samples could not be analyzed. A 48 h delay at 40°C caused clinically significant differences in all analytes except creatinine, lipid panel, prostate-specific antigen, and the thyroid cascade. Conclusion Potassium, bicarbonate, and glucose were not stable at room temperature in CSC sera. CSC serum specimens may be a viable option but require analyte-specific evaluation and consideration of transportation conditions.

Abstract Background Hemoglobin A1c is used to assess glycemic control to both diagnose and monitor diabetes mellitus. Several different methodologies are available including high performance liquid chromatography (HPLC), capillary electrophoresis (CE), and immunoassay (IA). These methods are standardized and traceable to the Diabetes Control and Complications Trial (DCCT). The aim of this study was to evaluate the difference in HbA1c results between methods and percent of reportable results in variant samples. Methods The HPLC (Bio-Rad Laboratories, Inc; D-100), the CE(Sebia Inc; Capillarys 3), and IA(Roche Diagnostics Inc; Tina-quant Generation 3) were compared using two sets of residual patient samples left after physician ordered testing was complete: 1) samples with an absence of abnormal hemoglobin peaks (i.e. non-variant) detected by HPLC; 2) samples with abnormal hemoglobin peaks (i.e. variant) characterized by hemoglobin electrophoresis performed clinically or lacking an A1c peak by HPLC/CE. The samples were tested within manufacturers stability claims. 317 non-variant samples were compared between the HPLC and CE methods. The absolute difference was calculated for each method using this equation (HbA1c%avg – HbA1c%X) where HbA1c%avg is the average of the methods that produced reportable results and X is the result from each method evaluated. Differences less than or equal to +/-0.3% were considered acceptable. 28 of the 317 non-variant and 47 variant samples were tested by all 3 methodologies. The 47 variant samples grouped into 3 cohorts: common heterozygous variants (HbC, HbD, HbE, HbS and HbF, n=10), uncommon heterozygous variants (n=29) and homozygous variants lacking HbA (n=8). The absolute differences in variant sample results were calculated for samples that did not surpass manufacturer’s claims for producing an accurate result. The frequency of producing a numeric result in variant samples was calculated for each method. Results The HPLC/CE non-variant sample comparison (N=317) had results spanning the measuring range (3.8% - 14.0%) with average(range) of absolute difference=0.1(-0.4to0.6%) with 293/317(92.4%) samples within +/-0.3%. The HPLC/CE/IA non-variant sample comparison (N=28) had a result range=4.0%-9.4%, the average(range) of difference=0.1(-0.2to0.5%) with 25/28 (89.2%) of samples within +/-0.3%. Common heterozygous variant samples gave numeric results with no disqualifying flags in 9 of 10(HPLC), 8 of 10(CE), and 9 of 10(IA) samples tested. The average(range) difference from average=0.0(-0.3,0.5%) for HPLC, 0.0(-0.2,0.3%) for CE, and -0.1(-0.6,0.2%) for IA. Uncommon variant samples gave results in 4 of 29 (HPLC), 20 of 29 (CE), and 26 of 29 (IA) of samples tested. The average(range) difference from average=-0.1(-0.3,0.1%) for HPLC, 0.0(-1.0,1.1%) for CE, and 0.0(-1.1,1.0%) for IA. The homozygous variant (no HbA) samples gave results in 0 of 8 (HPLC), 0 of 8 (CE), and 4 of 8 (IA) of those tested. Conclusion All three methods meet their claims for accurately measuring hemoglobin A1c from non-variant and common hemoglobin variants. The advantage of HPLC and CE is the ability to identify hemoglobin variants that may impact HbA1c quantitation. The IA method provides the most numeric results. IA gave results even when HbA was absent. The lab should understand the capabilities and limitations of their HbA1c method on the population served.

Abstract Background We evaluated the Tecan Fluent Mix and Pierce Workstation as an automated platform to aliquot directly from whole blood collection tubes. The Fluent Mix and Pierce Workstation uses the Tube Rotator™, an on-deck rotisserie, to keep whole blood in suspension, and 8 Piercing Tips™ to cross the pierceable caps of collection tubes to aliquot samples. Methods We performed accuracy and precision testing by aliquoting residual whole blood specimens into an on-deck gravimetric scale. To test carryover, we aliquoted alternating blanks and high calibrators for several analytes and performed mass spectrometry on the blanks. We performed 168 runs over a 21-day period to test the robustness of the platform. We aliquoted and analyzed 2 batches of samples on both our clinical platform and the Mix and Pierce Workstation to check concordance. Results We observed that the Fluent Mix and Pierce Workstation can aliquot 200 µL with 0.5% inaccuracy and 0.9%CV and can aliquot 300 µL with 0.1% inaccuracy and 0.7%CV. We were unable to detect any analyte carryover using mass spectrometry. We observed no hardware failures during the instrument stress test. Clinical comparison runs indicated that the performance of aliquots made on the Fluent Mix and Pierce Workstation was equivalent to that of aliquots made by our current clinical method. Conclusions Overall, our evaluation showed that the Tecan Fluent Mix and Pierce Workstation is a viable platform for aliquoting whole blood for downstream work flows and can eliminate labor-intensive sample decapping and recapping in high-throughput settings.

Abstract Magnesium (Mg) is an essential element involved in cellular metabolism. We demonstrated that in patients with diffuse large B-cell lymphoma (DLBCL) undergoing autologous stem cell transplant (SCT), those with a serum Mg < 2.0 mg/dL at the time of transplant had worse outcomes. In this study, we aimed to learn the prognostic value of low serum Mg in patients with untreated DLBCL. We analyzed serum from 408 patients and tested 2 Mg cutpoints—low (<1.7 mg/dL) and low normal (<2.0 mg/dL), a range we found associated with lower survival in the SCT group. We found 3% of patients with low levels and 23% with low normal levels. Low normal serum Mg levels were associated with a higher stage at diagnosis, more extranodal involvement, higher international prognostic index score, lower overall survival (OS), and event-free survival. These data warrant testing Mg replacement to a target of >2.0 mg/dL to learn if survival can be improved.

COVID-19 convalescent plasma (CCP) was one of the first therapeutic options available for the treatment of SARS-CoV-2 infections and continues to be used selectively for immunosuppressed patients. Given the emergence of novel SARS-CoV-2 variants which are resistant to treatment with available monoclonal antibody (MAb) therapy, CCP remains an important therapeutic consideration.

Abstract Background Measurement of cholesterol within lipoprotein subfractions may aid in cardiovascular disease prediction. Simple, homogenous enzymatic assays for the direct measurement of lipoprotein subfractions have been developed to measure small dense low-density lipoprotein cholesterol (sdLDL-C), high-density lipoprotein-3 cholesterol (HDL3-C), and triglyceride-rich lipoprotein (TRL-C) cholesterol. The objective of this study was to determine biological variability for sdLDL-C, HDL3-C, and TRL-C in a healthy reference population to facilitate interpretation of these analytes. Methods Serum samples were collected from 24 healthy subjects (n = 14 female/10 male) daily for 3 days while non-fasting, and daily for 5 days, weekly for 4 weeks, and monthly for 6 months after overnight fasting. sdLDL-C, HDL3-C, and TRL-C cholesterol were measured by homogenous enzymatic assays. Sources of variability (between-subject, within-subject, and analytical) were calculated using random-effects regression models. Reference change value (RCV) and index of individuality (II) for each time period were determined from the variance components. Results Analytic variability (daily, weekly, and monthly CVA) was <3% for each analyte. Monthly within-subject variability (CVI) was 17.1% for sdLDL-C, 7.4% for HDL3-C, and 25.7% for TRL-C. Most of the monthly variation was attributed to between-subject variation for all 3 analytes. Overall RCVs for monthly measurements were 18.1 mg/dL for sdLDL-C, 6.1 mg/dL for HDL3-C, and 16.0 mg/dL for TRL-C. IIs were <0.6 for sdLDL-C and HDL3-C, and 0.81 for TRL-C. Conclusions sdLDL-C, HDL3-C, and TRL-C showed moderate within-subject variability, but high between-subject variability, in a healthy reference population. Given the high individuality of each analyte, population-based reference intervals may be inadequate to detect clinically significant changes.

AbstractBackgroundCeramides are bioactive lipid species that mediate numerous cell-signaling events. Elevated plasma ceramides concentration constitutes a risk factor for several pathologies. Multiple studies have affirmed the plasma concentrations of 4 specific ceramides (Cer16:0, Cer18:0, Cer24:0, and Cer24:1) can predict cardiovascular disease risk. Furthermore, these ceramides can be altered by many lipid-lowering therapies. Understanding the biological variability within an individual, and within a population, will further inform the clinical use of plasma ceramides as a biomarker. In this study, we aimed to define the intra- and interbiological variability of ceramides in a healthy reference population in a weekly and monthly manner.MethodsFasting plasma from 24 healthy adults was collected daily (5 days), weekly (4 weeks), and monthly (7 months). Ceramide concentrations were measured with liquid chromatography–mass spectrometry (LC–MS). For analysis, we used random-effects regression models to estimate variance components.ResultsThe analytical variability was smaller compared to the biological variability overall. The greatest variation reported was between-subject variation for all ceramide species. The critical difference-reference change value (RCV) for within-subject variations monthly were 0.07 mcmol/L (Cer16:0), 0.04 mcmol/L (Cer18:0), 1.09 mcmol/L (Cer24:0), and 0.27 mcmol/L (Cer24:1). The index of individuality (IOI) of ceramides were 0.82 (Cer16:0), 0.96 (Cer18:0), 1.06 (Cer24:0), and 0.89 (Cer24:1). The most consistent ceramide species was Cer18:0 with the lowest within- and between-subject critical differences in weekly and monthly measurements.ConclusionsOverall, this study demonstrates that the variability of ceramide concentrations at different time points is minimal within individuals, allowing a single draw to be sufficient at least in a yearly time frame.

Longitudinal studies assessing durability of the anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) humoral immune response have generated conflicting results. This has been proposed to be due to differences in patient populations, the lack of standardized methodologies, and the use of assays that measure distinct aspects of the humoral response.