Lauren C Ladehoff, Kevin T Root, Marco Foreman, Jeffrey B Brown, Paul Bryce Webb, Michael J Diaz, Kamil Taneja, Karan Patel, Brandon Lucke-Wold, Robert P Wessel
{"title":"Demographics in the context of health-care delivery for C1 and C2 fractures.","authors":"Lauren C Ladehoff, Kevin T Root, Marco Foreman, Jeffrey B Brown, Paul Bryce Webb, Michael J Diaz, Kamil Taneja, Karan Patel, Brandon Lucke-Wold, Robert P Wessel","doi":"10.4103/jcvjs.jcvjs_66_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Atlas and axis fractures are the most severe cervical fractures which may result in complete paralysis or death. The purpose of the current study is to identify disparities regarding length of stay (LOS), mortality, and demographic factors in patients with the most serious cervical spine fractures utilizing a nationally representative database.</p><p><strong>Materials and methods: </strong>The Nationwide Emergency Department Sample was utilized to provide a representative sample for patients with a primary diagnosis of C1 or C2 fracture presenting to emergency departments in years from October 2015 to December 2019. A multivariable logistic regression model was used to estimate LOS for different patient demographics, including gender, race, and age.</p><p><strong>Results: </strong>A weighted sample of 7,262,791 patients presented to emergency rooms in the United States between 2015 and 2019. The mean age at admission was 76 years old, 52.6% of patients were female, and 83.0% identified as white. Patients between 45 and 65 and patients over 65 were significantly more likely to have an increased LOS. Women were less likely to have an increased LOS than men. Patients identifying as Black were significantly more likely to have increased LOS over white patients. In addition, patients who had an increased LOS were more likely to die in the hospital than patients with a shorter LOS.</p><p><strong>Conclusion: </strong>This study provides patient characteristics that help providers determine patient risk factors for increased hospital LOS and in-hospital mortality for those suffering from C1 and C2 fractures. Clinicians should be made aware of these disparities to allow equitable delivery of care.</p>","PeriodicalId":51721,"journal":{"name":"Journal of Craniovertebral Junction and Spine","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11524566/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Craniovertebral Junction and Spine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jcvjs.jcvjs_66_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"OTORHINOLARYNGOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Atlas and axis fractures are the most severe cervical fractures which may result in complete paralysis or death. The purpose of the current study is to identify disparities regarding length of stay (LOS), mortality, and demographic factors in patients with the most serious cervical spine fractures utilizing a nationally representative database.
Materials and methods: The Nationwide Emergency Department Sample was utilized to provide a representative sample for patients with a primary diagnosis of C1 or C2 fracture presenting to emergency departments in years from October 2015 to December 2019. A multivariable logistic regression model was used to estimate LOS for different patient demographics, including gender, race, and age.
Results: A weighted sample of 7,262,791 patients presented to emergency rooms in the United States between 2015 and 2019. The mean age at admission was 76 years old, 52.6% of patients were female, and 83.0% identified as white. Patients between 45 and 65 and patients over 65 were significantly more likely to have an increased LOS. Women were less likely to have an increased LOS than men. Patients identifying as Black were significantly more likely to have increased LOS over white patients. In addition, patients who had an increased LOS were more likely to die in the hospital than patients with a shorter LOS.
Conclusion: This study provides patient characteristics that help providers determine patient risk factors for increased hospital LOS and in-hospital mortality for those suffering from C1 and C2 fractures. Clinicians should be made aware of these disparities to allow equitable delivery of care.