<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Huang CL</submitter><funding>Changhua Christian Hospital and Kaohsiung Medical University</funding><pagination>e70088</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12694571</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>41(12)</volume><pubmed_abstract>Blunt chest trauma (BCT) is common and frequently associated with adverse complications. Beyond merely impeding regular respiration, adverse events (AEs) such as hemothorax or pneumothorax can hinder the patient's recovery. Herein, we aim to validate potential predictive factors for AEs among adults with BCT who were admitted concurrently through the dataset focusing on the limited information available upon their arrival at the emergency department (ED). Seventeen variables-including patients' demographics, comorbidities, and vital signs/hemogram data upon arrival at the ED-were investigated. A penalized logistic regression model was applied to the derivation cohort and validated in a subgroup using the same dataset (80%:20%). In addition, we employed the least absolute shrinkage and sele</pubmed_abstract><journal>The Kaohsiung journal of medical sciences</journal><pubmed_title>Predicting Adverse Events in Blunt Chest Trauma: A Novel Nomogram Integrating Vitals, Hemogram, and Comorbidities.</pubmed_title><pmcid>PMC12694571</pmcid><funding_grant_id>TB0486</funding_grant_id><pubmed_authors>Chou MC</pubmed_authors><pubmed_authors>Chang PC</pubmed_authors><pubmed_authors>Chang TW</pubmed_authors><pubmed_authors>Kor CT</pubmed_authors><pubmed_authors>Hsieh HM</pubmed_authors><pubmed_authors>Huang CL</pubmed_authors><pubmed_authors>Chen CW</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predicting Adverse Events in Blunt Chest Trauma: A Novel Nomogram Integrating Vitals, Hemogram, and Comorbidities.</name><description>Blunt chest trauma (BCT) is common and frequently associated with adverse complications. Beyond merely impeding regular respiration, adverse events (AEs) such as hemothorax or pneumothorax can hinder the patient's recovery. Herein, we aim to validate potential predictive factors for AEs among adults with BCT who were admitted concurrently through the dataset focusing on the limited information available upon their arrival at the emergency department (ED). Seventeen variables-including patients' demographics, comorbidities, and vital signs/hemogram data upon arrival at the ED-were investigated. A penalized logistic regression model was applied to the derivation cohort and validated in a subgroup using the same dataset (80%:20%). In addition, we employed the least absolute shrinkage and sele</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-05-26T14:07:00.137Z</modification><creation>2026-05-24T03:12:14.677Z</creation></dates><accession>S-EPMC12694571</accession><cross_references><pubmed>40842095</pubmed><doi>10.1002/kjm2.70088</doi></cross_references></HashMap>