An overview of treatment approaches for chronic pain management

Pain which persists after healing is expected to have taken place, or which exists in the absence of tissue damage, is termed chronic pain. By definition chronic pain cannot be treated and cured in the conventional biomedical sense; rather, the patient who is suffering from the pain must be given the tools with which their long-term pain can be managed to an acceptable level. This article will provide an overview of treatment approaches available for the management of persistent non-malignant pain. As well as attempting to provide relief from the physical aspects of pain through the judicious use of analgesics, interventions, stimulations, and irritations, it is important to pay equal attention to the psychosocial complaints which almost always accompany long-term pain. The pain clinic offers a biopsychosocial approach to treatment with the multidisciplinary pain management programme; encouraging patients to take control of their pain problem and lead a fulfilling life in spite of the pain. © 2016 Springer-Verlag Berlin Heidelber

A standardized approach for the thoracic dissection in robotic-assisted minimally invasive esophagectomy (RAMIE)

Robot-assisted minimally invasive esophagectomy (RAMIE) is increasingly being adopted as the preferred surgical treatment for esophageal cancer, as it is superior to open esophagectomy and a good alternative to conventional minimally invasive esophagectomy. This paper addresses the technical details of the thoracoscopic phase of RAMIE, including the operating room set-up, patient positioning, port placement, and surgical steps

Machine learning to predict early recurrence after oesophageal cancer surgery.

BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20-30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This study aimed to develop a predictive model for early recurrence after surgery for oesophageal adenocarcinoma using a large multinational cohort and machine learning approaches. METHODS: Consecutive patients who underwent oesophagectomy for adenocarcinoma and had neoadjuvant treatment in one Dutch and six UK oesophagogastric units were analysed. Using clinical characteristics and postoperative histopathology, models were generated using elastic net regression (ELR) and the machine learning methods random forest (RF) and extreme gradient boosting (XGB). Finally, a combined (ensemble) model of these was generated. The relative importance of factors to outcome was calculated as a percentage contribution to the model. RESULTS: A total of 812 patients were included. The recurrence rate at less than 1 year was 29·1 per cent. All of the models demonstrated good discrimination. Internally validated areas under the receiver operating characteristic (ROC) curve (AUCs) were similar, with the ensemble model performing best (AUC 0·791 for ELR, 0·801 for RF, 0·804 for XGB, 0·805 for ensemble). Performance was similar when internal-external validation was used (validation across sites, AUC 0·804 for ensemble). In the final model, the most important variables were number of positive lymph nodes (25·7 per cent) and lymphovascular invasion (16·9 per cent). CONCLUSION: The model derived using machine learning approaches and an international data set provided excellent performance in quantifying the risk of early recurrence after surgery, and will be useful in prognostication for clinicians and patients

Diastolic ventricular interaction:from physiology to clinical practice

The ventricles share a common septum and, therefore, the filling of one influences the compliance of the other. This phenomenon is known as direct diastolic ventricular interaction. The interaction is noticeably increased when the force exerted by the surrounding pericardium is raised, which is termed pericardial constraint. In healthy individuals, pericardial constraint is minor in the resting state. When right ventricular volume-to-pressure ratio acutely increases, however, such as during exercise, massive pulmonary embolism, or right ventricular infarction, notable diastolic ventricular interaction occurs. In this setting, the measured left ventricular intracavitary diastolic pressure overestimates the true left ventricular filling pressure, because the effect of external forces must be subtracted. Although growth of the pericardium can be a feature of chronic cardiac enlargement, here we review the evidence of the importance of diastolic ventricular interaction in certain acute and chronic disease processes, including heart failure