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Abstract：
UNASSIGNED: To describe the demographics and phenotypes of malignancies-associated dermatomyositis (MADM) in east China and pinpoint potential factors indicative of malignancies in patients with dermatomyositis and establish a predictive model.
UNASSIGNED: We retrospectively analyzed clinical data from 134 patients with adult-onset dermatomyositis hospitalized between January 2019 and May 2022 in one comprehensive hospital. Clinical data including disease course, initial symptoms and signs, and demographic information were retrieved from the Electronic Medical Records System. Other parameters including myositis-specific autoantibodies profiles, ferritin, sedimentation, etc. were all referable. Multivariable multinomial logistic regression was employed to simulate a model to predict cancer risks. Receiver operating characteristic curve was adopted to evaluate the potency of the model.
UNASSIGNED: 134 patients with adult-onset dermatomyositis were aptly enrolled in this study based on inclusive and exclusive criteria: 12 (8.96%) with malignancies, 57 (42.53%) with aberrant tumor biomarkers but no malignancies, 65 (48.51%) with neither malignancies nor abnormal tumor biomarkers. Senior diagnostic age, higher LDH, higher ferritin, positive anti-TIF1γ and anti-Mi2 rather than anti-NXP2 autoantibodies were positive indicators of malignancies. Additionally, neither initial complaints nor signs were found to be correlated to a tendency towards malignancies. Digestive system, nasopharyngeal, and lung malignancies were mostly documented in east China. One multivariable multinomial logistic regression model was established to predict the phenotypes of dermatomyositis on the basis of potential malignancies and the overall sensitivity and specificity was satisfactory.
UNASSIGNED: Positivity of anti-TIF1γ and anti-Mi2 autoantibodies are highly indicative of malignancies while the role of anti-NXP2 autoantibody in MADM in the Chinese population remains unclear. The phenotypes of malignancies can be predicted through the model and the predictive power is sufficient. More attention should be paid to malignancies screening in patients with aberrant tumor biomarkers but no malignancies, particularly digestive system, nasopharyngeal, and lung malignancies in patients with dermatomyositis but without malignancies.
UNASSIGNED: We retrospectively analyzed clinical data from 134 patients with adult-onset dermatomyositis hospitalized between January 2019 and May 2022 in one comprehensive hospital. Clinical data including disease course, initial symptoms and signs, and demographic information were retrieved from the Electronic Medical Records System. Other parameters including myositis-specific autoantibodies profiles, ferritin, sedimentation, etc. were all referable. Multivariable multinomial logistic regression was employed to simulate a model to predict cancer risks. Receiver operating characteristic curve was adopted to evaluate the potency of the model.
UNASSIGNED: 134 patients with adult-onset dermatomyositis were aptly enrolled in this study based on inclusive and exclusive criteria: 12 (8.96%) with malignancies, 57 (42.53%) with aberrant tumor biomarkers but no malignancies, 65 (48.51%) with neither malignancies nor abnormal tumor biomarkers. Senior diagnostic age, higher LDH, higher ferritin, positive anti-TIF1γ and anti-Mi2 rather than anti-NXP2 autoantibodies were positive indicators of malignancies. Additionally, neither initial complaints nor signs were found to be correlated to a tendency towards malignancies. Digestive system, nasopharyngeal, and lung malignancies were mostly documented in east China. One multivariable multinomial logistic regression model was established to predict the phenotypes of dermatomyositis on the basis of potential malignancies and the overall sensitivity and specificity was satisfactory.
UNASSIGNED: Positivity of anti-TIF1γ and anti-Mi2 autoantibodies are highly indicative of malignancies while the role of anti-NXP2 autoantibody in MADM in the Chinese population remains unclear. The phenotypes of malignancies can be predicted through the model and the predictive power is sufficient. More attention should be paid to malignancies screening in patients with aberrant tumor biomarkers but no malignancies, particularly digestive system, nasopharyngeal, and lung malignancies in patients with dermatomyositis but without malignancies.
摘要：
■描述华东地区恶性肿瘤相关性皮肌炎（MADM）的人口统计学和表型，并查明皮肌炎患者恶性肿瘤的潜在指示因素，建立预测模型。
■我们回顾性分析了在2019年1月至2022年5月期间在一家综合医院住院的134例成人发病型皮肌炎患者的临床数据。临床数据包括病程，最初的症状和体征，和人口统计信息从电子病历系统检索。其他参数，包括肌炎特异性自身抗体谱，铁蛋白,沉降,等。都是可以引用的。采用多变量多项逻辑回归模拟预测癌症风险的模型。采用受试者工作特性曲线评价模型的效价。
■134例成人发病型皮肌炎患者根据包容性和排他性标准被纳入本研究：12例（8.96%）恶性肿瘤，57（42.53%）有异常肿瘤生物标志物，但无恶性肿瘤，65（48.51％）既无恶性肿瘤也无异常肿瘤生物标志物。高级诊断年龄，较高的LDH，较高的铁蛋白，抗TIF1γ和抗Mi2抗体阳性而非抗NXP2抗体是恶性肿瘤的阳性指标.此外,最初的投诉和体征均未发现与恶性肿瘤倾向相关.消化系统,鼻咽,肺部恶性肿瘤主要记录在华东地区。建立了一个基于潜在恶性肿瘤的多变量多项logistic回归模型来预测皮肌炎的表型，总体敏感性和特异性令人满意。
■抗TIF1γ和抗Mi2自身抗体的阳性高度指示恶性肿瘤，而抗NXP2自身抗体在中国人群MADM中的作用尚不清楚。通过该模型可以预测恶性肿瘤的表型，预测能力足够。肿瘤标志物异常但无恶性肿瘤的患者应重视恶性肿瘤筛查,尤其是消化系统，鼻咽,皮肌炎患者的肺部恶性肿瘤，但没有恶性肿瘤。
■我们回顾性分析了在2019年1月至2022年5月期间在一家综合医院住院的134例成人发病型皮肌炎患者的临床数据。临床数据包括病程，最初的症状和体征，和人口统计信息从电子病历系统检索。其他参数，包括肌炎特异性自身抗体谱，铁蛋白,沉降,等。都是可以引用的。采用多变量多项逻辑回归模拟预测癌症风险的模型。采用受试者工作特性曲线评价模型的效价。
■134例成人发病型皮肌炎患者根据包容性和排他性标准被纳入本研究：12例（8.96%）恶性肿瘤，57（42.53%）有异常肿瘤生物标志物，但无恶性肿瘤，65（48.51％）既无恶性肿瘤也无异常肿瘤生物标志物。高级诊断年龄，较高的LDH，较高的铁蛋白，抗TIF1γ和抗Mi2抗体阳性而非抗NXP2抗体是恶性肿瘤的阳性指标.此外,最初的投诉和体征均未发现与恶性肿瘤倾向相关.消化系统,鼻咽,肺部恶性肿瘤主要记录在华东地区。建立了一个基于潜在恶性肿瘤的多变量多项logistic回归模型来预测皮肌炎的表型，总体敏感性和特异性令人满意。
■抗TIF1γ和抗Mi2自身抗体的阳性高度指示恶性肿瘤，而抗NXP2自身抗体在中国人群MADM中的作用尚不清楚。通过该模型可以预测恶性肿瘤的表型，预测能力足够。肿瘤标志物异常但无恶性肿瘤的患者应重视恶性肿瘤筛查,尤其是消化系统，鼻咽,皮肌炎患者的肺部恶性肿瘤，但没有恶性肿瘤。
