Background: To date there have been few studies regarding the efficacy of surgical treatment and related prognostic factors following intestinal resection in patients with intestinal Behcet's disease (BD). Here we investigated the long-term clinical outcomes and related prognostic factors after surgical treatment for intestinal BD.
Methods: We reviewed the medical records of 72 patients with intestinal BD who underwent surgery between March 1986 and May 2010. Prognostic factors were identified by univariate analysis using the Kaplan-Meier method, the log-rank test, and multivariate analysis using Cox proportional hazards regression models.
Results: Recurrence after surgical treatment was observed in 42 (58.3%) patients and reoperations were performed in 22 (30.6%) patients. The cumulative recurrence rates after surgical treatment were 29.2% at 2 years and 47.2% at 5 years; the cumulative reoperation rates were 12.5% at 2 years and 22.2% at 5 years. Multivariate analysis identified volcano-shaped ulcers, higher C-reactive protein (CRP) levels (≥ 4.4 mg/dL), and the presence of intestinal perforations detected by pathology as independent predictive factors for recurrence. Moreover, volcano-shaped ulcers, higher CRP levels (≥ 4.4 mg/dL), and a history of postoperative steroid therapy were independent predictive factors for reoperation.
Conclusions: According to the current study, volcano-shaped ulcers, higher CRP levels, a history of postoperative steroid therapy, and the presence of intestinal perforations detected by pathology were factors of a poor prognosis. Careful follow-up is required in surgical patients with these risk factors, who are at high risk for recurrence and reoperation.
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http://dx.doi.org/10.1002/ibd.21517 | DOI Listing |
Postgrad Med J
January 2025
Department of Pediatric Metabolic Diseases, University of Health Sciences, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Metabolism is the name given to all of the chemical reactions in the cell involving thousands of proteins, including enzymes, receptors, and transporters. Inborn errors of metabolism (IEM) are caused by defects in the production and breakdown of proteins, fats, and carbohydrates. Micro ribonucleic acids (miRNAs) are short non-coding RNA molecules, ⁓19-25 nucleotides long, hairpin-shaped, produced from DNA.
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January 2025
Qingshan Lake Science and Technology Innovation Center, Hangzhou Medical College, Hangzhou, China.
Background: Ischemic stroke is a prevalent and life-threatening cerebrovascular disease that is challenging to treat and associated with a poor prognosis. Astragaloside IV (AS-IV), a primary bioactive component of Astragali radix, has demonstrated neuroprotective benefits in previous studies. This study aimed to explore the mechanisms through which AS-IV may treat cerebral ischemia-reperfusion injury (CIRI).
View Article and Find Full Text PDFActa Radiol
January 2025
R Madhavan Nayar Center for Comprehensive Epilepsy Care, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Background: The role of imaging in autoimmune encephalitis (AIE) remains unclear, and there are limited data on the utility of magnetic resonance imaging (MRI) to diagnose, treat, or prognosticate AIE.
Purpose: To evaluate whether MRI is a diagnostic and prognostic marker for AIE and assess its efficacy in distinguishing between various AIE subtypes.
Material And Methods: We analyzed data from 96 AIE patients from our prospective autoimmune registry.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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