Evidence map›Paper›PMID 38739094›Full record

ArticleCNS neuroscience & therapeutics2024

A predictive nomogram for short-term outcomes of myasthenia gravis patients treated with low-dose rituximab.

Yufan Zhou, Rongjing Guo, Xingyu Xia, Sisi Jing, Jun Lu, Zhe Ruan, Sushan Luo, Xiao Huan, Chongbo Zhao, Ting Chang and 1 more

Abstract read
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Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yufan ZhouDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.ORCID 0009-0004-5029-290X
Rongjing GuoDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Xingyu XiaDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Sisi JingDepartment of Neurology, Banan Hospital, Chongqing Medical University, Chongqing, China.
Jun LuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Zhe RuanDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Sushan LuoDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-9033-7568
Xiao HuanDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Chongbo ZhaoDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-9481-1418
Ting ChangDepartment of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.ORCID 0000-0002-7546-8017
Jianying XiDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.

Funding

National Key Research and Development Plan of China 2022YFC3501304National Natural Science Foundation of China 82001335National Natural Science Foundation of China 82071410National Natural Science Foundation of China 8210052671Shanghai Municipal Science and Technology Major Project 2018SHZDZX01ZJLab
6 · The paper itself

Abstract

backgroundThis study aims to establish and validate a predictive nomogram for the short-term clinical outcomes of myasthenia gravis (MG) patients treated with low-dose rituximab.

methodsWe retrospectively reviewed 108 patients who received rituximab of 600 mg every 6 months in Huashan Hospital and Tangdu Hospital. Of them, 76 patients from Huashan Hospital were included in the derivation cohort to develop the predictive nomogram, which was externally validated using 32 patients from Tangdu Hospital. The clinical response is defined as a ≥ 3 points decrease in QMG score within 6 months. Both clinical and genetic characteristics were included to screen predictors via multivariate logistic regression. Discrimination and calibration were measured by the area under the receiver operating characteristic curve (AUC-ROC) and Hosmer-Lemeshow test, respectively.

resultsDisease duration (OR = 0.987, p = 0.032), positive anti-muscle-specific tyrosine kinase antibodies (OR = 19.8, p = 0.007), and genotypes in FCGR2A rs1801274 (AG: OR = 0.131, p = 0.024;GG:OR = 0.037, p = 0.010) were independently associated with clinical response of post-rituximab patients. The nomogram identified MG patients with clinical response with an AUC-ROC (95% CI) of 0.875 (0.798-0.952) in the derivation cohort and 0.741(0.501-0.982) in the validation cohort. Hosmer-Lemeshow test showed a good calibration (derivation: Chi-square = 3.181, p = 0.923; validation: Chi-square = 8.098, p = 0.424).

conclusionsThe nomogram achieved an optimal prediction of short-term outcomes in patients treated with low-dose rituximab.

Indexed as

Myasthenia GravisNomogramsRituximabAdultAgedFemaleHumansImmunologic FactorsMaleMiddle AgedReceptors, IgGRetrospective StudiesTreatment OutcomeYoung AdultImmunologic FactorsReceptors, IgGRituximabmyasthenia gravisnomogrampredictorprognosisrituximab

Identifiers

PMID38739094
PMCPMC11090079

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