4 results match your criteria: "School of Medicine Baylor College of Medicine[Affiliation]"
Objectives: Little is known about current practices in consulting physical therapy (PT) in the emergency department (ED) for older adults with falls, a practice that can reduce fall-related ED revisits. This qualitative study aimed to understand perspectives of ED staff about ED PT consultation for older adults with falls and fall-related complaints, specifically regarding perceived value and associated challenges and strategies.
Methods: We performed focus groups and key informant interviews with emergency physicians, advanced practice clinicians, nurses, physical therapists, occupational therapists, and technicians who perform ED geriatric screenings.
Article Synopsis
- - The study investigates the accuracy of different algorithms in identifying venous thromboembolism (VTE) in cancer patients, noting that relying solely on ICD data can lead to misclassification.
- - Researchers developed three algorithms (ICD/medication, natural language processing, and a combination) and tested them on a sample of 800 patients, finding high positive predictive values and sensitivity for the algorithms.
- - The combined algorithm demonstrated the best performance, accurately identifying VTE with a high positive predictive value of 98%, suggesting its utility in electronic health record databases for better patient outcomes.
Second Primary Malignancies following a Diagnosis of Conjunctival Melanoma.
Curr Eye Res
April 2022
School of Medicine Baylor College of Medicine, Houston, Texas, USA.
Background: Although incidence of second primary malignancies (SPMs) has been investigated in patients with cutaneous melanoma and uveal melanoma, limited studies have investigated their occurrence subsequent to conjunctival melanoma (CM). We conducted a retrospective observational study to assess incidence of SPMs in patients with primary CM and to identify associated risk factors.
Methods: Cases of first primary CM diagnosed from 2000 to 2018 were extracted from the national cancer database Surveillance, Epidemiology, and End Results Program.
Objective: A fundamental challenge in treating epilepsy is that changes in observed seizure frequencies do not necessarily reflect changes in underlying seizure risk. Rather, changes in seizure frequency may occur due to probabilistic variation around an underlying seizure risk state caused by normal fluctuations from natural history, leading to seizure unpredictability and potentially suboptimal medication adjustments in epilepsy management. However, no rigorous statistical approach exists to systematically distinguish expected changes in seizure frequency due to natural variability from changes in underlying seizure risk.
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