Multivariate logistic regression analysis of poor prognosis of dermatomyositis and clinical value of ferritin/Kl‐6 in predicting prognosis

Background Dermatomyositis (DM) is a rare inflammatory disease. Our research focuses on predicting poor prognosis in DM patients and evaluating the prognostic significance of ferritin and Salivary Sugar Chain Antigen‐6 (KL‐6) through multivariate logistic regression analysis. Methods Between February 2018 and April 2020, 80 DM patients at our hospital were categorized into MDA5 positive (n = 20) and negative (n = 60) groups. We conducted multivariate logistic regression to determine DM's poor prognosis risk factors and evaluate ferritin/KL‐6′s predictive value for prognosis. Results Analysis showed no gender, age, body mass index (BMI), or lifestyle (smoking, drinking) differences, nor in dyspnea, muscle weakness, skin ulcers, and acetylcysteine treatment effects (p > 0.05). Significant differences emerged in arrhythmias, interstitial pneumonia, C‐reactive protein, albumin, and lactate dehydrogenase levels (p 0.05), but post‐treatment, serum KL‐6 and ferritin levels dropped. MDA5 positive patients had elevated serum KL‐6 and ferritin levels than survivors (p