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http://dx.doi.org/10.1016/j.redare.2021.06.007 | DOI Listing |
Aging Clin Exp Res
January 2025
Department of Anesthesiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610000, Sichuan, China.
Objective: The primary goal was to investigate whether the presence of preoperative lacunar infarcts (LACI) was associated with postoperative delirium (POD) in elderly patients undergoing elective major abdominal surgery.
Design: A prospective cohort study.
Setting And Participants: Patients aged ≥ 65 years from a tertiary level A hospital in China.
Clin Spine Surg
January 2025
Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine.
Study Design: Retrospective cohort study using prospective database.
Objective: This study aimed to establish a risk-scoring system for predicting severe complications after pyogenic spondylodiscitis surgery.
Summary Of Background Data: Pyogenic spondylodiscitis surgery can cause severe complications.
Surg Open Sci
January 2025
Department of Breast and Thyroid Surgery, Kitasato University Hospital/Kitasato University School of Medicine, Kanagawa, Japan.
Front Surg
January 2025
Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.
Methods: The study included a cohort of 1,325 lung adenocarcinoma patients from three centers, which was divided into four groups: a training cohort ( = 930), a testing cohort ( = 238), an external validation 1 cohort ( = 93), and 2 cohort ( = 64). We collected clinical characteristics and semantic features, and extracted radiomics features.
Plast Surg (Oakv)
February 2025
Division of Plastic and Reconstructive Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Patient expectations have been shown to influence postoperative outcomes across surgical specialties. However, the impact of expectations in breast reconstruction is not well understood. The purpose of this project is to perform the first large-scale analysis and classification of BREAST-Q Expectations responses in patients undergoing implant-based reconstruction.
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