Spagni Gregorio, Verza Massimiliano Ugo, Cornacchini Sara, Beretta Francesca, Sun Bo, Lotti Antonio, Falso Silvia, Barilaro Alessandro, Massacesi Luca, Evoli Amelia, Damato Valentina
Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Department of Neurosciences and Sensory Organs, Careggi University Hospital, Florence, Italy.
Eur J Neurol. 2025 Jun;32(6):e70262. doi: 10.1111/ene.70262.
Patient Acceptable Symptom State (PASS) is emerging as a valuable subjective measure of the overall myasthenia gravis (MG)-related burden. This study aimed at identifying PASS-positive thresholds for the most used clinical scales, investigating whether PASS and MGFA post-intervention status capture different aspects of the disease outcome, and identifying clinical variables associated with PASS=YES response.
Adult AChR-MG patients were prospectively enrolled at two Italian Centres (Rome: index cohort; Florence: validation cohort). PASS thresholds for MG-ADL, QMG, and MG-QOL15r were defined in the index cohort by ROC analysis and validated in the validation cohort; predictors of favorable PASS were identified by multivariable analysis.
This study included 173 patients (44% females, median age at onset: 53 years). PASS=YES patients had significantly lower median MG-ADL, QMG, and MG-QOL15r scores, with the following thresholds for PASS=YES: MG ADL ≤ 2, QMG ≤ 8 and MG-QOL15r ≤ 6. The MG-ADL (OR = 0.46, 95% CI = 0.36-0.60, p < 0.001), QMG (OR = 0.72, 95% CI = 0.64-0.81, p < 0.001) and MG-QOL15r (OR = 0.76, 95% CI = 0.70-0.84, p < 0.001), were independently associated with a favorable PASS. The degree of ocular involvement in each scale was the strongest negative determinant of PASS=YES.
This study validates the PASS question and highlights the relevance of ocular complaints in patients' perception of MG burden.
患者可接受症状状态(PASS)正逐渐成为衡量重症肌无力(MG)总体相关负担的一项有价值的主观指标。本研究旨在确定最常用临床量表的PASS阳性阈值,调查PASS和MGFA干预后状态是否反映疾病转归的不同方面,并确定与PASS=是反应相关的临床变量。
前瞻性纳入意大利两个中心的成年乙酰胆碱受体MG患者(罗马:索引队列;佛罗伦萨:验证队列)。通过ROC分析在索引队列中确定MG-ADL、QMG和MG-QOL15r的PASS阈值,并在验证队列中进行验证;通过多变量分析确定PASS良好的预测因素。
本研究纳入173例患者(44%为女性,发病中位年龄:53岁)。PASS=是患者的MG-ADL、QMG和MG-QOL—15r中位数得分显著更低,PASS=是的阈值如下:MG-ADL≤2,QMG≤8,MG-QOL15r≤6。MG-ADL(OR=0.46,95%CI=0.36-0.60,p<0.001)、QMG(OR=0.72,95%CI=0.64-0.81,p<0.001)和MG-QOL15r(OR=0.76,95%CI=0.70-0.84,p<0.001)与PASS良好独立相关。各量表中眼部受累程度是PASS=是的最强负性决定因素。
本研究验证了PASS问题,并强调了眼部不适在患者对MG负担感知中的相关性。