Objective To explore the relevant factors affecting the efficacy of traditional Chinese medicine in treating MG,and to develop and validate a nomogram model,in order to personalize the prediction of the probability of benefits for MG patients after traditional Chinese medicine treatment,further guide clinical physicians in targeted medication,and provide guidance for the traditional Chinese medicine treatment of MG.Method Retrospective analysis of MG patients who visited the Affiliated Hospital of Changchun University of Traditional Chinese Medicine from March 2018 to June 2022,13 clinical factors were selected to evaluate the results.To acquire independent factors,univariate and multivariate Logistic analyses were performed.The area under the receiver operating characteristic curve,Harrell's concordance index,calibration curve,and decision curve analyses were used to evaluate the predictive ability,accuracy,and clinical practicability of the prediction model.Results A total of 204 cases were included,divided into derivation cohort 139 cases and temporal validation cohort 65 cases.Multivariate Logistic regression showed 4 independent predictors affecting effectiveness of traditional Chinese medicine in treating MG,including age at onset,repetitive nerve stimulation positive,oral immunosuppressant and anxiety/depression.AUC values for the model group and validation group were 0.76(95%CI:0.68-0.84)and 0.83(95%CI:0.71-0.95),respectively,and based on calibration curve and decision curve analysis,we concluded that the nomogram showed excellent performance.Conclusion MG patients may experience a decrease in short-term efficacy with age,positive RNS,concomitant emotional abnormalities,or recent history of immunosuppressive therapy.This nomogram effectively predicts the possibility of short-term effective traditional Chinese medicine treatment in MG patients.

Objective To explore the relevant factors affecting the efficacy of traditional Chinese medicine in treating MG,and to develop and validate a nomogram model,in order to personalize the prediction of the probability of benefits for MG patients after traditional Chinese medicine treatment,further guide clinical physicians in targeted medication,and provide guidance for the traditional Chinese medicine treatment of MG.Method Retrospective analysis of MG patients who visited the Affiliated Hospital of Changchun University of Traditional Chinese Medicine from March 2018 to June 2022,13 clinical factors were selected to evaluate the results.To acquire independent factors,univariate and multivariate Logistic analyses were performed.The area under the receiver operating characteristic curve,Harrell's concordance index,calibration curve,and decision curve analyses were used to evaluate the predictive ability,accuracy,and clinical practicability of the prediction model.Results A total of 204 cases were included,divided into derivation cohort 139 cases and temporal validation cohort 65 cases.Multivariate Logistic regression showed 4 independent predictors affecting effectiveness of traditional Chinese medicine in treating MG,including age at onset,repetitive nerve stimulation positive,oral immunosuppressant and anxiety/depression.AUC values for the model group and validation group were 0.76(95%CI:0.68-0.84)and 0.83(95%CI:0.71-0.95),respectively,and based on calibration curve and decision curve analysis,we concluded that the nomogram showed excellent performance.Conclusion MG patients may experience a decrease in short-term efficacy with age,positive RNS,concomitant emotional abnormalities,or recent history of immunosuppressive therapy.This nomogram effectively predicts the possibility of short-term effective traditional Chinese medicine treatment in MG patients.

Objective To standardize the selection of clinical research outcome indicators,which can objectively evaluate the clinical efficacy or effect of traditional Chinese medicine in the treatment of myasthenia gravis.This study aims to standardize the construction of the core outcome set of clinical research of traditional Chinese medicine in the treatment of myasthenia gravis.Methods We followed the core outcome set development specification(COS-STAD)to carry out research,established a research working group,which set up a Delphi-method advisory group.Two graduate students of working group conducted a document research and meetings of patients to establishe an outcome set item pool of myasthenia gravis in clinical trials of Chinese medicine under the instruction of other members.With the questionnaire based on the content of item pool,we then carried out Delphi-method expert consultations and a consensus meeting.Results The core outcome set of clinical research on myasthenia gravis treated with traditional Chinese medicine included five outcome domains:endpoint outcome,myasthenia gravis symptom evaluation,medication evaluation,quality of life evaluation and safety outcome;Nine outcome measures:recurrence rate,incidence of hormone complications,incidence of crisis,QMGS scale(MGFA quantitative myasthenia gravis score),daily activity scale of MG patients(ADL),analysis of immunosuppressant dosage,analysis of glucocorticoid dosage,analysis of cholinesterase inhibitor dosage,and incidence of adverse events.Conclusion The five outcome domains and nine outcome measures included in the core outcome set can be used as outcome options for the efficacy evaluation of myasthenia gravis clinical research.