Medicine
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Visceral obesity is an important factor that increases the risk of complications after colorectal cancer surgery. As calculating visceral fat is difficult and time-consuming, more practical fat measurements that are not time-consuming have been introduced. This study aimed to investigate the effects of perirenal fat thickness on postoperative complications and prognosis in patients undergoing surgery for colorectal cancer. ⋯ Multivariate analysis revealed that increased perirenal fat thickness is an independent risk factor for postoperative complications. We believe that perirenal fat thickness measurement, as an indicator of visceral fat volume, can be used to identify patients at high risk of developing complications after colorectal cancer surgery. This may change the disease management and affect the patient information process.
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Tumor infiltrating lymphocytes (TILs) are closely related to the patients' prognosis. Recently, Microrchidia 2 (MORC2) has been documented as a prognostic and predictive biomarker in triple negative breast cancer (TNBC). To compare whether MORC2 is a better predictor than TILs, as well as clinicopathological parameters, in predicting the efficacy of neoadjuvant chemotherapy (NAC) in TNBC, we detected the expression of MORC2 on neoplastic cells through immunohistochemistry and quantified the stromal TILs through Hematoxylin-eosin staining on core biopsies from 50 locally advanced TNBC patients who underwent standard NAC. ⋯ Positive nodal involvement was correlation with worse pathologic response at multivariate analysis (P = .0036), and high TILs levels (≥50%) was positively associated with better NAC efficacy at univariate analysis (P = .002). Whereas high expression of MORC2 was statistically associated with worse pCR rate both at univariate (P < .001) and multivariate (P = .036) analysis. Our results indicate that MORC2 expression has a better predictive role in predicting the efficacy of NAC than TILs in TNBC patients.
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Transforaminal epidural steroid injections (TFESI) are widely used in patients with lumbar foraminal spinal stenosis. Previous studies have evaluated the effects of TFESI on lumbar foraminal spinal stenosis using only pain scores. However, no study has evaluated the effect of TFESI on pain scores and walking distance in patients with lumbar foraminal spinal stenosis. ⋯ Furthermore, the degree of satisfaction was higher in the moderate group than that in the severe group. Lumbar TFESI may reduce pain scores and increase walking distance in patients with moderate or severe lumbar foraminal spinal stenosis. Patients with moderate foraminal stenosis had better pain relief outcomes than those with severe foraminal stenosis.
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To study the difference of clinical characteristics and prognostic factors from elderly patients with renal cell carcinoma (RCC), the statistical analysis was carried out based on the surveillance, epidemiology, and end results database. The relevant clinical information of 19,472 RCC patients from 2010 to 2015 were collected, and the differences of clinicopathological characteristics and survival rate was analyzed by log-rank method and Chi square test, respectively. Multivariate Cox regression model was used to explore the independent risk factors affecting the long-term survival of RCC patients. ⋯ Cox proportional hazards model analysis further confirmed that age was the important independent prognostic factor. Our study reveals that the onset age of RCC in elderly population is gradually decreasing, and the malignant degree of elderly RCC patients is increasing with age. The female elderly population could be more susceptible to RCC than male elderly population, and 85+ year population could also be cancer susceptible with a higher lymph node metastasis rate, later tumor stage, and poor prognosis, suggesting that these elderly populations should pay more attention to the RCC screening.
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The application of large language models in clinical decision support (CDS) is an area that warrants further investigation. ChatGPT, a prominent large language models developed by OpenAI, has shown promising performance across various domains. However, there is limited research evaluating its use specifically in pediatric clinical decision-making. This study aimed to assess ChatGPT's potential as a CDS tool in pediatrics by evCDSaluating its performance on 8 common clinical symptom prompts. Study objectives were to answer the 2 research questions: the ChatGPT's overall grade in a range from A (high) to E (low) compared to a normal sample and the difference in assessment of ChatGPT between 2 pediatricians. ⋯ This study demonstrates the feasibility of utilizing ChatGPT as a CDS tool for patients presenting with common pediatric symptoms. The findings suggest that ChatGPT has the potential to enhance clinical workflow and aid in responsible clinical decision-making. Further exploration and refinement of ChatGPT's capabilities in pediatric care can potentially contribute to improved healthcare outcomes and patient management.