Royal Devon and Exeter Hospital

About: Royal Devon and Exeter Hospital is a healthcare organization based out in Exeter, United Kingdom. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 2282 authors who have published 2526 publications receiving 78866 citations. The organization is also known as: RD&E.

Sunitinib versus dacarbazine as first-line treatment in patients with metastatic uveal melanoma.

Abstract: 9031 Background: Uveal melanoma (UM) is a rare cancer with a propensity for metastasis. There are no effective systemic therapies for metastatic UM, although dacarbazine is commonly used in practic...

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Abstract: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal cancer surgery. Data were obtained from consecutive colorectal cancer patients undergoing laparoscopic surgery within the enhanced recovery after surgery (ERAS) program between 2002 and 2009 in a single center. The primary outcomes assessed were delayed discharge and readmission within a 30-day period. The data were analyzed using a multilayered perceptron neural network (MLPNN), and a prediction tools were created for each outcome. The results were compared with a conventional statistical method using logistic regression analysis. A total of 275 cancer patients were included in the study. The median length of stay was 6 days (range 2–49 days) with 67 patients (24.4 %) staying longer than 7 days. Thirty-four patients (12.5 %) were readmitted within 30 days. Important factors predicting delayed discharge were related to failure in compliance with ERAS, particularly with the postoperative elements in the first 48 h. The MLPNN for delayed discharge had an area under a receiver operator characteristic curve (AUROC) of 0.817, compared with an AUROC of 0.807 for the predictive tool developed from logistic regression analysis. Factors predicting 30-day readmission included overall compliance with the ERAS pathway and receiving neoadjuvant treatment for rectal cancer. The MLPNN for readmission had an AUROC of 0.68. These results may plausibly suggest that ANN can be used to develop reliable outcome predictive tools in multifactorial intervention such as ERAS. Compliance with ERAS can reliably predict both delayed discharge and 30-day readmission following laparoscopic colorectal cancer surgery.

Capillary filtration coefficient and urinary albumin leak at altitude

Abstract: Rapid ascent to altitude risks the development of acute mountain sickness. This study demonstrates changes in peripheral capillary filtration coefficient and renal protein loss in subjects suffering from various degrees of mountain sickness after passive ascent to 4559 m. Capillary filtration coefficient of the calf capillary bed, measured by computer-based multistep strain gauge plethysmography, increased significantly after 23.5 h at altitude when symptoms were most severe: 4.45 (2.76-6.03) to 6.31 (3.86-11.07) ml min(-1) per 100 g of tissue mmHg(-1), median (range) (P < 0.02). Urinary albumin excretion was increased after one night at altitude from 1.1 (0.6-1.5) to 2.45 (1.0-6-8) mg of albumin per mmol of creatinine (P < 0.05). These results demonstrate simultaneous leakage of a peripheral capillary bed to fluid measured by strain gauge plethysmography, and renal albumin leak, and suggest a systemic process of increased capillary leakage for different-sized molecules caused by rapid exposure to hypobaric hypoxia.