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December 01, 2020; 95 (22) Article

Improving accuracy of myasthenia gravis autoantibody testing by reflex algorithm

Shahar Shelly, Pritikanta Paul, Hongyan Bi, Divyanshu Dubey, Margherita Milone, Eric J. Sorenson, Brian A. Crum, View ORCID ProfileRuple S. Laughlin, Teerin Liewluck, Jay Mandrekar, Sean J. Pittock, Anastasia Zekeridou, Andrew McKeon, Michael C. Harper, John R. Mills, View ORCID ProfileChristopher J. Klein
First published September 16, 2020, DOI: https://doi.org/10.1212/WNL.0000000000010910
Shahar Shelly
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Pritikanta Paul
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Hongyan Bi
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Divyanshu Dubey
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Margherita Milone
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Eric J. Sorenson
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Brian A. Crum
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Ruple S. Laughlin
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Teerin Liewluck
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Jay Mandrekar
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Sean J. Pittock
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Anastasia Zekeridou
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Andrew McKeon
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Michael C. Harper
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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John R. Mills
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Christopher J. Klein
From the Departments of Neurology (S.S., P.P., H.B., D.D., M.M., E.J.S., B.A.C., R.S.L., T.L., S.J.P., A.Z., A.M., M.C.H., C.J.K.), Laboratory Medicine and Pathology (D.D., S.J.P., A.Z., A.M., J.R.M., C.J.K.), and Biomedical Statistics and Bioinformatics (J.M.), Mayo Clinic Foundation, Rochester, MN.
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Citation
Improving accuracy of myasthenia gravis autoantibody testing by reflex algorithm
Shahar Shelly, Pritikanta Paul, Hongyan Bi, Divyanshu Dubey, Margherita Milone, Eric J. Sorenson, Brian A. Crum, Ruple S. Laughlin, Teerin Liewluck, Jay Mandrekar, Sean J. Pittock, Anastasia Zekeridou, Andrew McKeon, Michael C. Harper, John R. Mills, Christopher J. Klein
Neurology Dec 2020, 95 (22) e3002-e3011; DOI: 10.1212/WNL.0000000000010910

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Abstract

Objective To improve myasthenia gravis (MG) autoantibody testing.

Methods MG serologic tests with confirmatory or refuting clinical–electrodiagnostic (EDX) testing and cancer evaluations were reviewed over 4 years (2012–2015). All patients had acetylcholine receptor–binding (AChR-Bi), modulating (AChR-Mo), and striational (STR) autoantibody testing, and negatives reflexed to muscle-specific kinase (MuSK). Thymoma and cancer occurrences were correlated with STR and reflexed glutamic acid decarboxylase 65 (GAD65), ganglionic acetylcholine receptor (α3), collapsin response mediating protein-5, and voltage-gated potassium channel complex autoantibodies.

Results Of 433 samples tested, 133 (31%) met clinical–EDX criteria for MG. Best sensitivity (90%) occurred at AChR-Bi >0.02 nmol/L, leaving 14 negative (6 ocular MG, 7 generalized MG, 1 MuSK MG) with specificity 90% (31 false-positives). Using AChR-Mo antibodies (>20% loss), specificity was better (92%, 24 false-positives), but sensitivity dropped (85%). Specificity improved (95%) by testing AChR-Mo when AChR-Bi are positive, resulting in 45% reduction of false-positives (31–17), maintaining AChR-Bi 90% sensitivity. Cutoff values recommended by area under the curve analysis did not outperform this approach. AChR-Bi and AChR-Mo values were significantly higher in true-positives. CT evaluations in 121 MG samples revealed 16 thymomas. Historical or subsequent cancers occurred in 22. STR and reflexed autoantibodies were not more common in MG with thymoma or other cancers. Full-body CT (n = 34) was performed in those with STR and reflex autoantibody positivity, but without additional cancers found.

Conclusion Accuracy of MG serologic testing is improved by reflexing AChR-Bi–positive cases to AChR-Mo. STR and other reflexed cancer evaluation autoantibodies did not provide value beyond standard CT chest imaging at the time of MG diagnosis. Diagnostic certainty is informed by AChR-Bi and AChR-Mo with higher values increasing specificity.

Glossary

α3=
ganglionic acetylcholine receptor;
AChR=
acetylcholine receptor;
AChR-Bi=
acetylcholine receptor binding;
AChR-Mo=
acetylcholine receptor modulating;
AUC=
area under the curve;
CI=
confidence interval;
CRMP5=
collapsin response mediator protein-5;
EDX=
electrodiagnostic;
GAD65=
glutamic acid decarboxylase-65;
MCD=
mean consecutive difference;
MG=
myasthenia gravis;
MuSK=
muscle-specific receptor tyrosine kinase;
RNS=
repetitive nerve stimulation;
ROC=
receiver operating characteristic;
SFEMG=
single-fiber EMG;
STR=
striational;
VGKC=
voltage-gated Kv1 potassium channel

Footnotes

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • ↵* These authors contributed equally to this work.

  • Received April 4, 2020.
  • Accepted in final form July 22, 2020.
  • © 2020 American Academy of Neurology
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