Assessment of the lipemia index determined by the Atellica CH 930 analyzer for the detection of monoclonal immunoglobulins
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Luc Thouault
, Jean-Richard Eveillard
To the Editor,
Hemolysis, icterus and lipemia (HIL) indices are rapid, fully automated and inexpensive measurements that are widely used to assess sample quality prior to clinical chemistry testing. The lipemia index (L-index), which reflects the turbidity of the sample, has been shown to be clinically relevant in the detection of severe hypertriglyceridemia and glycerol kinase deficiency [1]. In addition, previously published evidence has raised interest in whether the L-index could be used to identify patients with monoclonal gammopathy [2, 3]. Therefore, we aimed to determine the diagnostic accuracy of the L-index for the detection of monoclonal immunoglobulins (M-proteins).
We retrospectively extracted data from the local laboratory information system (LIS) for all paired serum protein electrophoresis (SPE), serum and plasma L-index tests corresponding to individual patients between 1 March 2022 and 13 July 2022 at the University Hospital of Brest, Brest, France. Only the first recorded SPE was included if there was more than one SPE result per patient. Blood was collected in lithium heparin tubes for plasma (ref. 456083, Vacuette, Greiner Bio-One, Kremsmünster, Austria) or serum (ref. 456071, Vacuette, Greiner Bio-One, Kremsmünster, Austria) according to laboratory recommendations. L-index and total protein were measured on the Atellica CH 930 (Siemens Healthineers, Erlangen, Germany) according to the manufacturer’s instructions. Briefly, the L-index assay is based on absorbance measurements (658 and 694 nm) of diluted samples, which are converted into semi-quantitative results within a range of 0–6 AU (arbitrary unit). The SPE method was a capillary zone electrophoresis performed on a CAPILLARYS 3 Tera instrument (Sebia, Issy-les-Moulineaux, France). An M-protein was defined as an abnormal clonal immunoglobulin with a peak detected by SPE and characterized by Sebia’s HydraGel 4IF immunofixation or by immunosubtraction performed on the CAPILLARYS 3 Tera instrument. The M-protein concentration was calculated from the area under the peak of the absorbance baseline after measurement of total proteins. Data quality was regularly validated throughout the study by internal quality checks and participation in an external quality assessment scheme. Statistical analysis was performed using Excel 2013 (Microsoft, Redmond, WA) and was based on the assessment of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the L-index ≥1 AU for M-protein detection. Final results were presented as median and interquartile range (IQR) or percentage and 95 % confidence interval (CI). Test results, age and sex of patients were extracted anonymously from the local LIS database, so no informed consent or ethics committee approval was required. The retrospective study was conducted in accordance with the Declaration of Helsinki and local legislation.
A total of 3,795 patients were included in the study, of whom 457 (12 %) were diagnosed with monoclonal gammopathy (Table 1). We found that the L-index had a good specificity of 99.8 % (CI: 99.6–99.9) and 99.7 % (CI: 99.6–99.9), but a low sensitivity of 7.7 % (CI: 6.8–8.5) and 3.1 % (CI 2.5–3.6) for the detection of M-proteins in serum and plasma samples, respectively (Table 2). The accuracy of the L-index differed clearly between M-protein isotypes. The best sensitivity was observed for IgM in serum samples (21.4 %; CI: 20.1–22.7). The concordance between plasma and serum L-index for the detection of M-proteins was low (Table 1). Only 6 (17.1 %) of the patients with monoclonal gammopathy and a serum L-index ≥1 AU also had a plasma L-index ≥1 AU. Of the 14 patients with monoclonal gammopathy and a plasma L-index ≥1 AU, 6 (42.9 %) had a combined plasma and serum L-index >1 AU. Finally, we found no correlation between M-protein and L-index values (Supplementary Material, Figure 1).
Patient characteristics of the study population.
Patients (n=3,795) | Patients without M-protein (n=3,338) | Patients with M-protein (n=457) | Patients with M-protein and | ||
---|---|---|---|---|---|
Serum L-index ≥1 (n=35) | Plasma L-index ≥1 (n=14) | ||||
Demographics | |||||
Age, in years | 68 (53–78) | 66 (52–76) | 75 (66–82) | 76 (71.5–84.5) | 77 (66.8–87.3) |
Gender, male | 1,887 (49.7) | 1,639 (49.1) | 249 (54.5) | 20 (57.1) | 9 (64.3) |
Laboratory results | |||||
Serum L-index ≥1, UA | 43 (1.1) | 8 (0.2) | 35 (7.7) | 35 (100) | 6 (42.9) |
Plasma L-index ≥1, UA | 26 (0.7) | 12 (0.4) | 14 (3.1) | 6 (17.1) | 14 (100) |
M-protein value, g/L | 5.3 (3–10) | 0 (0–0) | 5.3 (3–10) | 7.6 (4.7–11.7) | 5.7 (3.8–7.7) |
IgG M-protein | 225 (5.9) | 0 (0) | 225 (49.2) | 1 (2.9) | 1 (7.1) |
IgM M-protein | 159 (4.2) | 0 (0) | 159 (34.8) | 34 (97.1) | 11 (78.6) |
IgA M-protein | 42 (1.1) | 0 (0) | 42 (9.2) | 0 (0) | 0 (0) |
IgD M-protein | 2 (0.1) | 0 (0) | 2 (0.4) | 0 (0) | 0 (0) |
FLC | 3 (0.1) | 0 (0) | 3 (0.7) | 0 (0) | 0 (0) |
Biclonal gammopathy | 26 (0.7) | 0 (0) | 26 (5.7) | 0 (0) | 2 (14.3) |
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Data presented as median (interquartile range) or number (percentage), where appropriate. UA, arbitrary unit; FLC, free light chain; L-index, lipemia index; M-protein, monoclonal immunoglobulin.
Method performance characteristics of the L-index for the detection of monoclonal immunoglobulins IgG, IgM, and IgA in a serum and plasma sample compared to serum protein electrophoresis as the standard.
M-protein | IgM M-protein | IgG M-protein | IgA M-protein | Biclonal gammopathy | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Serum | Plasma | Serum | Plasma | Serum | Plasma | Serum | Plasma | Serum | Plasma | |
Sens | 7.7 (6.8–8.5) | 3.1 (2.5–3.6) | 21.4 (20.1–22.7) | 8.1 (7.2–8.9) | 0.4 (0.2–0.7) | 0.4 (0.2–0.7) | 0 (0–0) | 0 (0–0) | 0 (0–0) | 7.7 (6.8–8.5) |
Spec | 99.8 (99.6–99.9) | 99.7 (99.6–99.9) | 99.8 (99.6–99.9) | 99.7 (99.6–99.9) | 98.8 (98.5–99.2) | 99.4 (99.1–99.6) | 98.9 (98.5–99.2) | 99.4 (99.1–99.6) | 98.9 (98.5–99.2) | 99.4 (99.1–99.6) |
PPV | 81.4 (80.2–82.6) | 60.9 (59.3–62.4) | 79.1 (77.8–80.4) | 56.5 (54.9–58.1) | 2.3 (1.8–2.8) | 4.3 (3.7–5) | 0 (0–0) | 0 (0–0) | 0 (0–0) | 8.7 (7.8–9.6) |
NPV | 88.8 (87.7–89.8) | 88.3 (87.2–89.3) | 96.7 (96.1–97.2) | 96.7 (95.5–96.7) | 94 (93.3–94.8) | 94.1 (93.3–94.8) | 98.9 (98.5–99.2) | 98.9 (98.5–99.2) | 99.3 (99–99.6) | 99.4 (99.1–99.6) |
TN | 3,328 (87.7) | 3,329 (87.7) | 3,627 (95.6) | 3,624 (95.5) | 3,528 (93) | 3,548 (93.5) | 3,710 (97.8) | 3,730 (98.3) | 3,726 (98.2) | 3,748 (98.2) |
FP | 8 (0.2) | 9 (0.2) | 9 (0.2) | 10 (0.3) | 42 (1.1) | 22 (0.6) | 43 (1.1) | 23 (0.6) | 43 (1.1) | 21 (0.6) |
TP | 35 (0.9) | 14 (0.4) | 34 (0.9) | 13 (0.3) | 1 (<0.1) | 1 (<0.1) | 0 (0) | 0 (0) | 0 (0) | 2 (0.1) |
FN | 422 (11.1) | 443 (11.7) | 125 (3.3) | 148 (3.9) | 224 (5.9) | 224 (5.9) | 42 (1.1) | 42 (1.1) | 26 (0.7) | 24 (0.6) |
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Data presented as percentage (95 % confidence interval) or number (percentage), where appropriate. There were 457 patients with monoclonal gammopathy and 3,338 patients without monoclonal gammopathy. Monoclonal gammopathy prevalence was 12 %. Sens, sensitivity; spec, specificity; PPV, positive predictive value; NPV, negative predictive value; TN, true negative; FP, false positive; TP, true positive; FN, false negative; L-index, lipemia index; M-protein, monoclonal immunoglobulin.
The role of the L-index in the diagnostic strategy of medical laboratories for M-protein detection is still unclear due to the lack of data on diagnostic accuracy. Our results are consistent with previous studies showing an association between a high L-index and the presence of M-protein [2, 3]. However, this study provides new information on the diagnostic accuracy of the L-index in the detection of M-protein. We found that the L-index has good specificity but low sensitivity for the detection of M-proteins.
As early as 1966, Franglen et al. adapted a classic test, the Sia water test, for use as a screening test for Waldenström’s macroglobulinemia [4]. Based on the property of IgM to precipitate at neutral pH, the addition of a drop of serum containing an IgM M-protein to distilled water can produce a white precipitate. The interference caused by M-proteins is generally attributed to their ability to precipitate under certain conditions, such as the isoelectric point of the M-protein, pH, ionic strength and chemical composition of the diluent or reagent solution, resulting in an increase in sample turbidity and an apparent increase in light absorbance, including at the wavelengths used in clinical chemistry assays [5]. Although any M-protein can cause precipitation, IgM has been reported to be frequently involved [5], explaining the predominance of this isotype detected in this and previous studies [2]. However, Fisher et al. report that approximately one third of the M-proteins with a high L-index value measured on the Dimension RXL Max and Dimension Vista analyzers (Siemens Healthineers, Erlangen, Germany) were of the IgG isotype [3]. This suggests that the diagnostic accuracy of the L-index may vary between analyzers, probably due to the lack of standardization of HIL methods [6]. Interestingly, the sensitivity of the serum L-index (7.7 %, CI: 6.8–8.5 %) was twice that of the plasma L-index (3.1 %, CI: 2.5–3.6 %), suggesting that the presence of either fibrinogen or lithium heparinate may partially increase the solubility of the M-protein under L-index assay conditions.
This relatively inexpensive and readily available test is a potential tool for identifying IgM plasma cell disorders and could guide appropriate investigations and reduce the time to diagnosis. Even if asymptomatic, diagnosis of these patients may be useful, particularly in the case of smoldering Waldenström’s macroglobulinemia, as follow-up will ensure that they do not develop symptomatic disease [7]. We therefore recommend that an elevated L-index be reported to the clinician as a possible manifestation of the presence of the M-protein and that an SPE be recommended to confirm or refute this possibility.
This study has several limitations. First, the introduction of a bias in the predictive value due to the local distribution of the M-protein cannot be excluded. As reported in our study, the M-protein distribution showed an IgM isotype proportion of 34.8 %, which is classically reported in Western France but higher than reported in other areas [8]. Finally, triglyceride values were not recorded in this retrospective study. A high L-index without M-protein occurred in 8 (0.2 %) and 9 (0.2 %) patients in serum and plasma samples, respectively, possibly reflecting hypertriglyceridemia. This means that the diagnostic performance obtained in this study could be improved by performing a triglyceride measurement or visual assessment of the blood sample prior to SPE determination. Therefore, future studies are needed to improve the strategy of medical laboratories in the presence of a high L-index, given the variety of available methods and potential clinical applications.
Increasing the L-index values on the Atellica CH 930 analyzer was found to be specific but not sensitive for the detection of IgM M-proteins. Therefore, this relatively inexpensive and readily available test is a potential tool for the identification of M-proteins.
Acknowledgments
The authors thank the laboratory technicians for their technical assistance.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Delanghe, JR, Oyaert, M, Speeckaert, M, De Buyzere, M. L-index more than a screening tool for hypertriglyceridemia. Clin Chem Lab Med 2020;58:e128–9. https://doi.org/10.1515/cclm-2019-1270.Search in Google Scholar PubMed
2. Agrawal, YP, Hall, K. The lipemia index: an underutilized tool to detect monoclonal proteins. J Appl Lab Med 2019;3:1062–4. https://doi.org/10.1373/jalm.2018.028456.Search in Google Scholar PubMed
3. Fliser, E, Jerkovic, K, Vidovic, T, Gorenjak, M. Investigation of unusual high serum indices for lipemia in clear serum samples on siemens analysers dimension. Biochem Med 2012;22:352–62. https://doi.org/10.11613/bm.2012.037.Search in Google Scholar PubMed PubMed Central
4. Franglen, G. A modification of the water-dilution test for screening macroglobulinaemic sera. Clin Chim Acta 1966;14:559–61. https://doi.org/10.1016/0009-8981(66)90047-7.Search in Google Scholar PubMed
5. Berth, M, Delanghe, J. Protein precipitation as a possible important pitfall in the clinical chemistry analysis of blood samples containing monoclonal immunoglobulins: 2 case reports and a review of the literature. Acta Clin Belg 2004;59:263–73. https://doi.org/10.1179/acb.2004.039.Search in Google Scholar PubMed
6. Nikolac Gabaj, N, Miler, M, Vrtarić, A, Hemar, M, Filipi, P, Kocijančić, M, et al.. Precision, accuracy, cross reactivity and comparability of serum indices measurement on Abbott Architect c8000, Beckman Coulter AU5800 and Roche Cobas 6000 c501 clinical chemistry analyzers. Clin Chem Lab Med 2018;56:776–88. https://doi.org/10.1515/cclm-2017-0889.Search in Google Scholar PubMed
7. Kyle, RA, Benson, JT, Larson, DR, Therneau, TM, Dispenzieri, A, Kumar, S, et al.. Progression in smoldering Waldenstrom macroglobulinemia: long-term results. Blood 2012;119:4462–6. https://doi.org/10.1182/blood-2011-10-384768.Search in Google Scholar PubMed PubMed Central
8. Decaux, O, Rodon, P, Ruelland, A, Estepa, L, Leblay, R, et al.. Épidémiologie descriptive des gammapathies monoclonales. Expérience d’un centre hospitalier général et d’un service de médecine interne de centre hospitalier et universitaire. La Revue de Médecine Interne 2007;28:670–6. https://doi.org/10.1016/j.revmed.2007.04.011.Search in Google Scholar PubMed
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/cclm-2023-0872).
© 2023 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Articles in the same Issue
- Frontmatter
- Editorial
- Unraveling the mystery of blood groups and COVID-19
- Reviews
- Serum hepcidin levels in chronic liver disease: a systematic review and meta-analysis
- Platelet distribution width (PDW) as a significant correlate of COVID-19 infection severity and mortality
- Mini Reviews
- ABO blood group-related mechanism of infection of SARS-CoV-2: an overview of systematic reviews
- Opinion Paper
- Personalized laboratory medicine in the digital health era: recent developments and future challenges
- Guidelines and Recommendations
- Algorithm of differential diagnosis of anemia involving laboratory medicine specialists to advance diagnostic excellence
- General Clinical Chemistry and Laboratory Medicine
- Rescaling creatinine makes GFR estimation equations generally applicable across populations – validation results for the Lund-Malmö equation in a French cohort of sub-Saharan ancestry
- Periodic verification of results’ comparability between several analyzers: experience in the application of the EP31-A-IR guideline
- Machine learning to optimize cerebrospinal fluid dilution for analysis of MRZH reaction
- Diagnostic performance of automated red cell parameters in predicting bone marrow iron stores
- Reliability of hemoglobin A2 value as measured by the Premier Resolution system for screening of β-thalassemia carriers
- Amino acid sequence homology of monoclonal serum free light chain dimers and tissue deposited light chains in AL amyloidosis: a pilot study
- Development of high-performance point-of-care aqueous VEGF detection system and proof-of-concept validation in RVO patients
- Detection rate of IGF-1 variants and their implication to protein binding: study of over 240,000 patients
- Analysis of a second-tier test panel in dried blood spot samples using liquid chromatography-tandem mass spectrometry in Catalonia’s newborn screening programme
- Targeted quantitative lipidomic uncovers lipid biomarkers for predicting the presence of compensated cirrhosis and discriminating decompensated cirrhosis from compensated cirrhosis
- Reference Values and Biological Variations
- Establishment of reference intervals for free light chains and immunoglobulins in Saudi population
- Cancer Diagnostics
- A predictive and prognostic model for surgical outcome and prognosis in ovarian cancer computed by clinico-pathological and serological parameters (CA125, HE4, mesothelin)
- M-protein diagnostics in multiple myeloma patients using ultra-sensitive targeted mass spectrometry and an off-the-shelf calibrator
- Cardiovascular Diseases
- Bioactive adrenomedullin (bio-ADM) is associated with endothelial dysfunction in infants and children with complex congenital heart disease undergoing open-heart surgery on cardiopulmonary bypass
- Infectious Diseases
- Monocyte distribution width as an early predictor of short-term outcome in adult patients with sepsis
- Analytical and clinical evaluations of SNIBE Maglumi chemiluminescent immunoassay for the detection of SARS-CoV-2 antigen in salivary samples
- Letters to the Editor
- Predicting hemoglobinopathies using ChatGPT
- Managing the Quality Control of multiple instruments
- Lipid droplets may interfere with urinary red blood cell and crystal counts by urinary flow cytometry
- Assessment of the lipemia index determined by the Atellica CH 930 analyzer for the detection of monoclonal immunoglobulins
- Concerning quality demands of arterial partial pressure of oxygen
- Navigating between perpendicular drop and tangent skimming methods for M-protein quantification: a call for clarification of guidelines
- Early detection of peripheral invasive candidiasis further to cytographic interferences in Sysmex XN-9000 hematology analyzer
- Congress Abstracts
- Annual meeting of the Royal Belgian Society of Laboratory Medicine: “Symphony of the Heart”