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

Abstract

AbstractBackgroundDermatomyositis (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.MethodsBetween 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.ResultsAnalysis 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). Before treatment, differences were negligible (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 < 0.05), with a strong correlation to DM. Combined diagnosis using serum KL‐6 and ferritin for DM prognosis showed area under curves of 0.716 and 0.634, significantly outperforming single‐index diagnoses with an area under curve (AUC) of 0.926 (p < 0.05).ConclusionSerum KL‐6 and ferritin show marked abnormalities in DM, useful as indicators for evaluating polymyositis and DM conditions. However, the study's small sample size is a drawback. Expanding the sample size is essential to monitor serum KL‐6 and ferritin changes in DM patients under treatment more closely, aiming to improve clinical assessment and facilitate detailed research.