Aim: Red blood cell distribution width-to-albumin ratio (RAR) is a combined new indicator reflecting immunology and has been reported to predict the prognosis of inflammation-related diseases and brain diseases. However, the association and predictive value of RAR in the prognosis of patients with autoimmune encephalitis (AE) has not been reported.
Methods: This was a retrospective cohort study, and data were collected from the Henan Provincial People's Hospital. RAR was categorized according to quartile. The prognosis was assessed using the modified Rankin Scale (mRS), and an mRS score of ≥3 was defined as a poor prognosis. The logistical regression model was used to explore the association between RAR and the prognosis, with results reported as odds ratio (OR) and 95% confidence interval (CI). The predictive value of RAR was evaluated by calculating the area under the receiving operating curve (AUC), sensitivity, specificity, and accuracy.
Results: A total of 175 eligible patients were included for analysis, and 51 patients were identified as having poor prognosis. After adjusting age, cancer, other diseases, histological subtype, antiepileptic therapy, anti-tumor treatment, ICU treatment, and length of stay, RAR in the highest quartile (Q4) was found to be significantly associated with the high odds of poor prognosis (OR = 5.63, 95%CI: 1.98-16.02) compared to RAR in the lowest quartile (Q1). In addition, RAR was identified as a predictor for the prognosis of AE patients (AUC = 0.660, 95%CI: 0.574-0.746).
Conclusion: This study found the close association and predictive value of RAR for the prognosis of AE patients, indicating that RAR might help clinicians identify high-risk populations.
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http://dx.doi.org/10.3389/fneur.2023.1276026 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Ann Surg Oncol
January 2025
Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Anaplastic thyroid cancer (ATC) is a highly lethal disease, often diagnosed with advanced locoregional and distant metastases, resulting in a median survival of just 3-5 months. This study determines the stratified effectiveness of baseline treatments in all combinations, enabling precise prognoses prediction and establishing benchmarks for advanced therapeutic options.
Methods: The study extracted a cohort of pathologically confirmed ATC patients from the Surveillance, Epidemiology, and End Results program.
Neurosurg Rev
January 2025
Hengyang Key Laboratory of Hemorrhagic Cerebrovascular Disease, Department of Neurosurgery, the Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421000, Hunan, China.
Patients with intracranial aneurysms (IA) undergoing endovascular treatment face varying risks and benefits when tirofiban is used for thromboprophylaxis during surgery. Currently, there is a lack of high-level evidence summarizing this information. This study aims to conduct a systematic review and meta-analysis to evaluate the efficacy and safety of tirofiban during endovascular treatment of IA.
View Article and Find Full Text PDFSurg Today
January 2025
Department of Gastroenterological Surgery, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, 3-8-31, Ariake, Koto-Ku, Tokyo, 135-8550, Japan.
Purpose: To investigate the effect of preoperative prealbumin levels on long-term survival outcomes after gastrectomy in patients with gastric cancer (GC) dichotomized based on age.
Methods: This retrospective cohort study included consecutive patients who underwent radical gastrectomy for primary stage I-III GC between May 2006 and March 2017. Patients were allocated to groups based on age (≥ 70 or < 70 years) and subgroups based on prealbumin levels (high, ≥ 22 mg/dL; moderate, 15-22 mg/dL; or low, < 15 mg/dL), and multivariate Cox regression was used for survival analyses.
Dig Dis Sci
January 2025
Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, 260-8670, Japan.
Purpose: The performance of endoscopic evaluation of ulcerative colitis (UC) using conventional scoring, including Mayo endoscopic subscore (MES) and ulcerative colitis endoscopic index of severity (UCEIS), is not satisfactory. Recently, the usefulness of novel image-enhanced endoscopy (IEE) such as texture and color enhancement imaging (TXI) and red dichromatic imaging (RDI) has been reported in the endoscopic evaluation of UC. We evaluated the performance of IEEs in UC, particularly focusing on the correlation with MES and UCEIS, and prediction of relapse.
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