<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>25(1)</volume><submitter>Yang B</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>To characterize the clinical features and identify determinants of mortality in patients with dermatomyositis (DM)-associated interstitial lung disease (ILD) who are positive for anti-melanoma differentiation-associated gene 5 (MDA5) antibodies, and to develop a prognostic prediction model.&lt;h4>Methods&lt;/h4>Patients with DM-ILD were retrospectively analyzed. Mortality and baseline features were compared between antibody-positive and antibody-negative groups. In the antibody-positive subgroup, Kaplan-Meier survival curves were generated, and clinical characteristics were compared between survivors and non-survivors. Prognostic factors were identified by elastic-net Cox regression, and a nomogram was constructed. Model performance was evaluated using C-index, calibration, an</pubmed_abstract><journal>BMC pulmonary medicine</journal><pagination>556</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12690898</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prognostic factors and a nomogram for survival in anti-MDA5 antibody-positive dermatomyositis-associated interstitial lung disease.</pubmed_title><pmcid>PMC12690898</pmcid><pubmed_authors>Tong Z</pubmed_authors><pubmed_authors>Yang B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prognostic factors and a nomogram for survival in anti-MDA5 antibody-positive dermatomyositis-associated interstitial lung disease.</name><description>&lt;h4>Objectives&lt;/h4>To characterize the clinical features and identify determinants of mortality in patients with dermatomyositis (DM)-associated interstitial lung disease (ILD) who are positive for anti-melanoma differentiation-associated gene 5 (MDA5) antibodies, and to develop a prognostic prediction model.&lt;h4>Methods&lt;/h4>Patients with DM-ILD were retrospectively analyzed. Mortality and baseline features were compared between antibody-positive and antibody-negative groups. In the antibody-positive subgroup, Kaplan-Meier survival curves were generated, and clinical characteristics were compared between survivors and non-survivors. Prognostic factors were identified by elastic-net Cox regression, and a nomogram was constructed. Model performance was evaluated using C-index, calibration, an</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T00:19:53.807Z</modification><creation>2026-05-23T03:14:10.678Z</creation></dates><accession>S-EPMC12690898</accession><cross_references><pubmed>41366363</pubmed><doi>10.1186/s12890-025-04031-y</doi></cross_references></HashMap>