Gunshot wounds (GSW) are one of the most lethal forms of head trauma. The lack of clear guidelines for civilian GSW complicates surgical management. We aimed to develop a decision-tree algorithm for mortality prediction and report long-term outcomes on survivors based on 15-year data from our level 1 trauma center. We retrospectively reviewed 96 consecutive patients who presented with cerebral GSWs between 2003 and 2018. Clinical information from our trauma database, EMR, and relevant imaging scans was reviewed. A decision-tree model was constructed based on variables showing significant differences between survivors and non-survivors. After excluding patients who died at arrival, 54 patients with radiologically confirmed intracranial injury were included. Compared to survivors (51.9%), non-survivors (48.1%) were significantly more likely to have perforating (entry and exit wound), as opposed to penetrating (entry wound only), injuries. Bi-hemispheric and posterior fossa involvement, cerebral herniation, and intraventricular hemorrhage were more commonly present in non-survivors. Based on the decision-tree, Glasgow Coma Scale (GCS) > 8 and penetrating, uni-hemispheric injury predicted survival. Among patients with GCS ≤ 8 and normal pupillary response, lack of 1) posterior fossa involvement, 2) cerebral herniation, 3) bi-hemispheric injury, and 4) intraventricular hemorrhage, were associated with survival. Favorable long-term outcomes (mean follow-up 34.4 months) were possible for survivors who required neurosurgery and stable patients who were conservatively managed. We applied clinical and radiological characteristics that predicted survival to construct a decision-tree to facilitate surgical decision-making for GSW. Further validation of the algorithm in a large patient setting is recommended.
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http://dx.doi.org/10.1016/j.jocn.2020.03.027 | DOI Listing |
Clin Orthop Relat Res
January 2025
Department of Rehabilitation Medicine, Brooke Army Medical Center, JBSA Fort Sam Houston, TX, USA.
Background: A number of efforts have been made to tailor behavioral healthcare treatments to the variable needs of patients with low back pain (LBP). The most common approach involves the STarT Back Screening Tool (SBST) to triage the need for psychologically informed care, which explores concerns about pain and addresses unhelpful beliefs, attitudes, and behaviors. Such beliefs that pain always signifies injury or tissue damage and that exercise should be avoided have been implied as psychosocial mediators of chronic pain and can impede recovery.
View Article and Find Full Text PDFJMIR Hum Factors
January 2025
Department of Value Improvement, St. Antonius Hospital, Nieuwegein, Netherlands.
Background: Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption.
View Article and Find Full Text PDFPurpose: Predicting long-term anatomical responses in neovascular age-related macular degeneration (nAMD) patients is critical for patient-specific management. This study validates a generative deep learning (DL) model to predict 12-month posttreatment optical coherence tomography (OCT) images and evaluates the impact of incorporating clinical data on predictive performance.
Methods: A total of 533 eyes from 513 treatment-naïve nAMD patients were analyzed.
Retina
January 2025
Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Purpose: To present a novel bended-needle drainage system in vitreous cavity lavage (VCL) for postoperative vitreous cavity hemorrhage (POVCH).
Methods: This retrospective case series include all patients with POVCH who received VCL with the bended-needle drainage system at ophthalmology department of Peking Union Medical College Hospital from January 2022 to May 2024. Patients adopted a supine position that allows preparation and draping.
S D Med
December 2024
Department of Internal Medicine, University of South Dakota Sanford School of Medicine.
Background: Francisella tularensis is an aerobic, gram negative coccobacillus bacterium that causes tularemia. F. tularensis spreads primarily through ticks, biting flies, droplet inhalation, contaminated mud or water, or infected animal bites, and it can survive in animal carcasses with the most common mode of transmission occurring via inoculation into the skin and inhalation/ingestion.
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