{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T09:04:26Z","timestamp":1780909466090,"version":"3.54.1"},"reference-count":19,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T00:00:00Z","timestamp":1774483200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T00:00:00Z","timestamp":1774483200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>This study aims to develop a predictive model for risk factors associated with dysphagia in patients with craniocerebral injury and to propose targeted nursing and rehabilitation interventions based on this model to improve patient outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A retrospective analysis was conducted on clinical data from 150 patients with craniocerebral injury admitted between June 2022 and June 2024. Patients were divided into dysphagia (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a062) and control (\n                      <jats:italic>n\u00a0<\/jats:italic>\n                      =\u00a088) groups based on the presence or absence of dysphagia. Univariate analysis and binary logistic regression were performed to identify independent risk factors for dysphagia, based on which a nomogram prediction model was subsequently constructed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Binary logistic regression identified vagus nerve injury, tracheotomy\/cannulation, mechanical ventilation, and severe aphasia as independent risk factors for dysphagia, while a higher Glasgow Coma Scale (GCS) score served as a protective factor. The nomogram model based on these variables demonstrated good predictive performance, with an AUC of 0.877 (95% CI: 0.823\u20130.931) as validated by internal bootstrap resampling. Decision curve analysis showed no significant difference between predicted and observed outcomes (\n                      <jats:italic>X<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u00a0=\u00a05.6728,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.6838), and the absolute error between predicted and actual values was 0.038, indicating strong clinical utility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Vagus nerve injury, tracheotomy\/cannulation, mechanical ventilation, severe aphasia, and GCS score are independent factors influencing the risk of dysphagia in craniocerebral injury patients. The developed predictive model demonstrates high accuracy and may provide a valuable reference for optimizing preventive nursing strategies and reducing the incidence of dysphagia.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.71347","type":"journal-article","created":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T03:54:40Z","timestamp":1774583680000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Risk Factor Analysis and Prognosis of Dysphagia in Craniocerebral Injury Patients: Implications for Targeted Nursing Strategies"],"prefix":"10.1002","volume":"16","author":[{"given":"Qingye","family":"Zhang","sequence":"first","affiliation":[{"name":"Intensive Care Unit Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine)  Taizhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxia","family":"Pan","sequence":"additional","affiliation":[{"name":"Intensive Care Unit Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine)  Taizhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyi","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Nursing Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine)  Taizhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Yang","sequence":"additional","affiliation":[{"name":"Intensive Care Unit Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine)  Taizhou 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