Willrich, Maria Alice V.

Abstract Background Cryoglobulins are immunoglobulins that precipitate at cold temperatures. They are associated with plasma cell disorders, infectious and autoimmune diseases. Laboratory testing is manual and requires strict temperature control, from keeping the blood sample warm from the moment of draw until processing in the laboratory. Serum samples are transferred to Kolmer glass graduated tubes upon arrival, and kept on ice for visualization of a precipitate for up to 7 days. Because of the temperature variation samples are subjected to, positive sample identification is important. The Kolmer glass tubes are not disposable, and undergo several steps of deidentification and cleaning for reuse. The goal of this project was to improve patient safety and label adherence in cryoglobulin testing by using the Managing for Daily Improvement (MDI) method to monitor and implement changes effectively. Methods During a Plan Do Study Act (PDSA) initiative, it was discovered that labels were not being secured on both ends with tape due to safety concerns when using a box cutter to remove the label prior to cleaning. This practice led to an increase in labels detaching from the glass tubes. To address this issue, we employed the MDI method and established a Key Performance Indicator (KPI) to monitor and evaluate potential changes aimed at improving label adherence. The MDI method facilitates problem-solving through daily visual indicators and discussions by empowering technologists to identify and address issues affecting daily operations. This approach encourages open communication and collaborative problem-solving, allowing the entire team to share insights and solutions in real time. Results A PDSA initiative via MDI uncovered the label adherence challenges. A KPI was developed to monitor interventions to improve the process. First, removable tape was used to secure both sides of the label. Initial results were worse than the original method but slight improvement occurred at about 3 weeks. A Just Do It (JDI) approach was initiated to leave additional space between samples. No improvements were observed and the practice discontinued within < 2 weeks. A second JDI was trialed with a different tool to remove labels post-use. The entire sample identification process was reviewed and the original identification process resumed, by adding scotch tape securing both sides of the labels and using a ceramic box cutter to remove the labels. Significant improvements to labels adherence was observed, from about 60% of labels coming off to zero, while the new tool was also safer for the team. Another PDSA was initiated to investigate if plastic, disposable tubes were a viable option for testing, and a full method validation of the new plastic tubes followed, finally eliminating the challenges with the larger process or reusing glass tubes. Conclusion MDI helped recognize a problem from the front-line and find real time solutions that benefited end-to-end operations. Visual daily indicators clearly showed effectiveness of interventions. Identifying real issues, even if they appear small, can lead to improved patient and staff safety, and empowerment to initiate meaningful change.

ABSTRACTTransplant‐associated thrombotic microangiopathy (TA‐TMA) is an endothelial dysfunction syndrome observed after allogeneic hematopoietic cell transplant (alloHCT). Our aim was to externally validate the impact of high‐risk features on the clinical outcomes of adult patients meeting the updated TA‐TMA harmonizing criteria. Between 2005 and 2022, 99 patients were diagnosed with TA‐TMA at Mayo Clinic Rochester (incidence 6.2%) after a median of 137 days post alloHCT (IQR: 34–283 days). The development of TA‐TMA was associated with an inferior overall survival posttransplant (HR: 3.8, 95% CI: 2.97–4.72). High‐risk features, including concomitant infection, acute graft‐versus‐host disease (GVHD), and organ dysfunction, were associated with poor survival, while LDH elevation was not associated with inferior outcomes. The most common treatment strategy for TA‐TMA was discontinuation of calcineurin or mTOR inhibitors in 80 (81%) patients. Thirty (37.5%) patients experienced worsening of GVHD with this strategy, of which 26 (86.7%) patients had died at last follow‐up. The most common cause of death among these patients was worsening GVHD (69%; n = 18), followed by infection (11%; n = 3), disease relapse (8%; n = 2), other/unknown causes (8%; n = 2), or TA‐TMA (4%; n = 1). Objective response rate (ORR) to initial treatment for the cohort was 56.6%. Eculizumab was used in 11 patients with an observed ORR of 70%, including 5 complete responses. In conclusion, TA‐TMA remains a significant contributor to non‐relapse mortality and is associated with worse survival following alloHCT. Not all high‐risk features, particularly LDH elevation, have consistently demonstrated a negative impact in adult cohorts. Patients with TA‐TMA may benefit from immune suppression dose adjustment, rather than a discontinuation, and the addition of complement‐directed therapy, particularly among high‐risk patients.

Abstract Background Immunoglobulin (Ig) measurements in the clinical laboratory have been traditionally performed by nephelometry, turbidimetry, electrophoresis, and ELISA assays. Mass spectrometry (MS) measurements have the potential to provide deeper insights on the nature of these markers. Content Different approaches—top-down, middle-down, or bottom-up—have been described for measuring specific Igs for endogenous monoclonal immunoglobulins (M-proteins) and exogenous therapeutic monoclonal antibody therapies (t-mAbs). Challenges arise in distinguishing the Ig of interest from the polyclonal Ig background. MS is emerging as a practical method to provide quantitative analysis and information about structural and clonal features that are not easily determined by current clinical laboratory methods. This review discusses clinically implemented examples, including isotyping and quantification of M-proteins and quantitation of t-mAbs within the polyclonal Ig background, as examples of how MS can enhance our detection and characterization of Igs. Summary This review of current clinically available MS proteomic tests for Igs highlights both analytical and nonanalytical challenges for implementation. Given the new insight into Igs from these methods, it is hoped that vendors, laboratorians, healthcare providers, and payment systems can work to overcome these challenges and advance the care of patients.

Background The detection, isotyping and quantitation of over-expressed immunoglobulin(s) (Igs) (M-protein) is key for diagnosing and monitoring patients with monoclonal gammopathies. Traditionally, our lab has used a combination of agarose gel protein electrophoresis (SPEP) and immunofixation electrophoresis (IFE) for these purposes. In 2018, a mass spectrometric method (Mass-Fix) was implemented to replace IFE for M-protein isotyping. This work documents the validation of a quantitative version (Q-Mass-Fix) to replace both SPEP and IFE. Methods 24,645 samples submitted for M-protein testing between 7/2018 and 9/2023 with quantitative IgG, IgA and IgM measurements, Mass-Fix analysis and SPEP results were utilized for this study. A separate cohort of 100,000 M-protein negative samples were utilized to mathematically model the spectral shapes IgG, IgA and IgM polyclonal background. To detect M-proteins, software was developed that fits the polyclonal Ig portion of the spectra and M-proteins are detected as peaks above the polyclonal background. M-proteins isotypes are determined by matching similar peaks in spectra in 5 sperate immuno enrichments (IgG, IgA, IgM, kappa and lambda). M-protein quantitation was obtained by multiplying total M-protein isotype quantity by the fraction area of the M-protein in the spectra. M-protein dilutional studies were used to examine the linearity and level of detection of Q-Mass-Fix. Results SPEP and Q-Mass-Fix M-protein quantitation had the best agreement between the range of 10 to 40 g/L. Below 10 g/L, Q-Mass Fix had on average, lower M-protein values. Above 40 g/dL, Q-Mass-Fix values were on average, higher than SPEP. The automated isotyping assignment was 98.8 percent consistent with the isotype assigned by visual inspection. Dilutional studies revealed that Q-Mass-Fix quantitation was linear over a range of 70 to 0.04 g/L (slope 1.0, r2 0.99) with an analytical limit of quantitation of 0.1 g/L and a limit of detection of 0.04 g/L. Conclusion Q-Mass-Fix represents a significant improvement in comparison to our current SPEP method. Q-Mass-Fix is more capable of removing the interference of polyclonal Igs below 10 g/L and is not subjective to the dye saturation effect at high M-protein levels. The increased analytical measuring range and improved limit of detection of detection could be beneficial in tracking patient's response. Q-Mass Fix is more automated than SPEP and the workflow in our laboratory.

Abstract Background Hypergammaglobulinemia poses a challenge for identifying and quantitating monoclonal proteins (M-protein). The Increased polyclonal immunoglobulin background can lead to imprecise estimation of the M-protein when quantitated by serum protein electrophoresis (SPEP). This is especially true using the perpendicular drop method of peak integration. Hypergammaglobulinemia also makes it difficult to detect small M-proteins on immunofixation electrophoresis. Overestimation of M-protein concentration can lead to unnecessary follow-ups while missing small M-proteins can mask the underlying diagnosis for patients. In this study, we retrospectively evaluated the prevalence and concentration of M-protein within polyclonal hypergamma backgrounds using immunocapture matrix-assisted laser desorption ionization time-of-flight mass-spectrometry (MASS-FIX). Methods We retrospectively analyzed 47061 unique patients tested for SPEP and MASS-FIX in 2022 at Mayo Clinic. If a patient underwent multiple tests during this period, only the first result was included in the analysis. Polyclonal hypergammaglobulinemia was defined as a gamma fraction >1.7g/dL by SPEP. MASS-FIX was used to identify and isotype M-proteins. MASS-FIX was then combined with total immunoglobin quantitation (IgG, IgA or IgM) using nephelometry to quantify concentration of the M- protein using mathematical modeling (method currently under validation). Results Of the 47,061 unique patients, 24,796 were normal by SPEP (53%). M-spikes were present in 5,808 cases (12%). Hypogammaglobulinemia (gamma fraction < 0.5g/dL) in 2897 cases (6%). Small non-quantifiable M-proteins by SPEP were present in 8363 cases (18%). [JC2] There were 4222 hypergamma cases in the cohort (9%), without a quantitative M-spike on SPEP. Of these, 16.1% (680/4222) patients had an M-protein by MASS-FIX. When polyclonal hypergamma was the sole SPEP abnormality, 5.5% were MASS-FIX positive. However, when a small abnormality pattern was observed within the polyclonal hypergamma background on SPEP, 50% of patients were MASS-FIX positive. The most common isotype was IgG (27.2%), followed by IgM (10.2%), IgA (8.1%), and biclonal (3.7%), which is similar to overall isotype distribution in other backgrounds. Using quantitative MASS-FIX, we identified that 95% MASS-FIX positive small monoclonal proteins in polyclonal hypergamma are < 1 g/dL, which is the recommended limited of quantitation for M-protein using SPEP in setting of hypergammaglobulinemia. Conclusion Majority of polyclonal hypergammaglobulinemia cases (83.9%) do not have a monoclonal protein. MASS-FIX allows quantitation of small monoclonal proteins below the SPEP limit of quantitation, which can enhance our understanding of conditions which present with small M-proteins in a polyclonal hypergammaglobulinemia background. Small visual abnormalities within polyclonal hypergamma background on SPEP should be followed-up with immunofixation or MASS-FIX to confirm the presence or absence of M- proteins.

Abstract Background Multiple sclerosis (MS) is an immune-mediated central nervous system (CNS) demyelinating disease which is diagnosed based on CNS lesions' spatial and temporal dissemination. The 2017 revised McDonald Criteria include cerebrospinal fluid (CSF) specific oligoclonal bands (OCBs) to indicate dissemination in time, but their assessment is labor-intensive and requires a paired serum sample. Kappa immunoglobulin free light chain in CSF (KCSF) has emerged as a more sensitive but less specific MS biomarker, measured from a single CSF sample. Our institution's MS testing panel uses KCSF initially to rule out MS, with reflex to OCB for positive confirmation if KCSF is borderline positive (≥0.06 mg/dL). However, manual correlation of laboratory and clinical data hinders the direct comparison of the diagnostic performance between these markers. Herein we report a retrospective assessment of KCSF and OCB diagnostic performance using automated chart review. Methods Between January 1st, 2021 and December 31st, 2022, there were 1,237 patients with simultaneously measured OCB and KCSF. CSF-specific OCBs were measured by separating CSF and serum proteins using an agarose isoelectric focusing gel with a pH gradient from 3-10 (Sebia). After transfer to nitrocellulose paper, antisera were applied to visualize IgG specific bands and quantify CSF-specific OCBs. KCSF was quantitated using nephelometry by applying free light chain antisera (Binding Site) to CSF samples using a Siemens BNII analyzer. An automated chart review process utilizing keyword matching was implemented to identify patients with MS. An initial filter phase required presence of the term “multiple sclerosis”, while a second required the presence of any of the following terms: “primary progressive,” “secondary progressive,” “relapsing remitting,” “progressive relapsing,” or “tumefactive” to identify patients with diagnosed MS. The automated method’s performance was then compared to a manual chart review of 200 randomly selected patients. Subsequently, the automated process was used to determine the MS diagnosis status of all 1,237 patients. Results Of the 200 manually reviewed patients, 44 MS diagnoses were found. The automated process correctly identified 41 of these with a resulting sensitivity and specificity of 93.18% and 95.51%, respectively. Applied to the entire cohort, the automated review identified 275 MS diagnoses. For the entire cohort, the area under the curve (AUC) for the receiver operating characteristic (ROC) curves for OCB and KCSF were 0.824 (95% confidence interval: 0.794, 0.854) and 0.808 (0.777, 0.839) respectively. Our institution’s diagnostic cutoff of ≥2 for OCB yielded a sensitivity and specificity of 74.2% (68.3%, 79.1%) and 84.9% (73.8%, 89.5%), respectively. The best combination for sensitivity and specificity for KCSF with the Youden index yielded a cutoff ≥0.0654 mg/dL (sensitivity of 79.6% [73.1%, 84.0%] and specificity of 72.4% [62.8%, 76.8%]), which is similar to previous publications. This supports the use of automated chart review and suggests the KCSF cutoff has been stable over time. Conclusions KCSF exhibits comparable MS diagnostic performance to OCB yet only requires one CSF sample and can be measured rapidly. When validated, mining unstructured data allows for test performance characterization in large patient cohorts without the need for manual chart review.

Abstract Background New immunoglobulin free light chain (FLC) assays are available. Despite analytical differences, it seems possible to use free light chain ratios (FLCr) generated by different assays and apply similar cut-points for the diagnosis of multiple myeloma. It is still unknown if we can use different assays for risk stratification of patients with monoclonal gammopathy of undetermined significance (MGUS). Methods Patients diagnosed with MGUS (N = 923) had FLC tested using a nephelometric FreeLite (Binding Site) assay on BNII instruments (Siemens) and a Sebia FLC assay (Sebia) on a DS2 ELISA analyzer (Dynex). Patients were followed up for progression to any plasma cell dyscrasia (PCD) for several decades. The Mayo MGUS risk stratification model for progression was assessed with both assays (M-spike >1.5 g/dL; non-IgG isotype and abnormal FLCr), using package insert reference intervals (RI) and a new metric called principal component 2 (PC2). Results There were 94 events of progression to PCD in the cohort during a median of 38 years of follow-up. Freelite and Sebia FLC showed similar hazard ratios in the risk models for elevated FLCr. An alternative clinical decision point lower than the package insert RI was evaluated for the Sebia assay, which improved risk stratification for patients with a low FLCr. The PC2 metric showed similar performance to the FLCr in models, without superior benefit. Conclusions The Sebia ELISA-based FLC assay can be employed in an MGUS risk stratification model with similar performance to the original 2005 risk stratification model using the FreeLite assay.