Ewaisha, Radwa

Abstract Background Multianalyte assays with algorithmic analysis (MAAAs), such as the Prostate Health Index (phi), are increasingly utilized for generating disease risk scores. Currently, imprecision and bias in phi are not directly monitored by quality control (QC) assessment of the index but rather by QC assessment of individual components. This may not be adequately controlling for imprecision and bias in the calculated multicomponent phi value itself. Methods Inter- and intra-assay phi precision was compared to precision of the individual component assays. QC measurements from total prostate-specific antigen (PSA), free PSA, and p2PSA were used to calculate a single calculated phi QC metric (PHIc). The frequency of QC failure of PHIc, relative to individual components QC by Westgard rules (13S and 22S), was determined. The effects of varying analyte component assay bias on the resulting PHIc metric were also examined. Results Average measured phi imprecision (6.7% CV) was higher than individual phi analyte component imprecision (3.9–4.5% CV) across 2 Beckman Coulter Unicel DxI 800 instruments. A retrospective examination of PHIc QC over 84 quality control determinations was concurrently carried out for both PHIc and component assay failure patterns, which were dependent on SDs utilized for Westgard evaluation. Finally, reinforcing nonlinear changes in PHIc were observed in select cases of introduced simulated bias of individual component measurements. Conclusions An additional calculated phi QC measure can be introduced to monitor MAAA precision/bias, and in principle calculated index controls may represent a complementary supplemental QC method that could be applied to other MAAA indices.

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 Heavy Chain Disease (HCD) is a group of rare B-cell proliferative disorders. Diagnosis depends on the detection of a truncated heavy chain with no associated light chain, often done by serum or urine immunofixation. This approach has been reported to have low specificity, since associated light chain bands are sometimes not visible and heavy chain bands can be mistaken for polyclonal bands. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) offers improved sensitivity in detecting monoclonal immunoglobulins. Truncation is thought to happen in the constant heavy chain (CH1) region, detected as a fragment of mass 27,000 Da on MALDI-TOF. Other mass patterns have not been reported in the literature. In this study, frozen serum samples from 8 heavy chain disease patients were analyzed by MALDI-TOF mass spectrometry. Spectra were reviewed on Mass-Fix software and visually inspected for monoclonal peaks. We detected two types of patterns for the IgG heavy chain disease. One pattern shows an IgG heavy chain with truncated mass (27,000 Da vs. 50,000 Da) and another in which the mass of the IgG heavy chain is greater than normal (65,000 Da). Follow-up work demonstrates that these are most likely dimers of truncated heavy chains. Thus, mass spectrometry-based immunofixation can provide new insights into heavy chain disease biology, mechanism, and progression, which are not identified by traditional diagnostic methods.