EEG correlation at a distance: A re-analysis of two studies using a machine learning approach.

Background: In this paper, data from two studies relative to the relationship between the electroencephalogram (EEG) activities of two isolated and physically separated subjects were re-analyzed using machine-learning algorithms. The first dataset comprises the data of 25 pairs of participants where one member of each pair was stimulated with a visual and an auditory 500 Hz signals of 1 second duration. The second dataset consisted of the data of 20 pairs of participants where one member of each pair received visual and auditory stimulation lasting 1 second duration with on-off modulation at 10, 12, and 14 Hz. Methods and Results: Applying a 'linear discriminant classifier' to the first dataset, it was possible to correctly classify 50.74% of the EEG activity of non-stimulated participants, correlated to the remote sensorial stimulation of the distant partner. In the second dataset, the percentage of correctly classified EEG activity in the non-stimulated partners was 51.17%, 50.45% and 51.91%, respectively, for the 10, 12, and 14 Hz stimulations, with respect the condition of no stimulation in the distant partner. Conclusions: The analysis of EEG activity using machine-learning algorithms has produced advances in the study of the connection between the EEG activities of the stimulated partner and the isolated distant partner, opening new insight into the possibility to devise practical application for non-conventional "mental telecommunications" between physically and sensorially separated participants.

Chemotherapy and palliative care near end-of life: examining the appropriateness at a cancer institute for colorectal cancer patients.

BACKGROUND: Appropriate cessation of chemotherapy and timely referral of patients to hospice services are crucial for the quality of care near death. We investigated the quality of care in our Cancer Institute in very advanced metastatic colorectal cancer patients treated in real life. PATIENTS AND METHODS: We performed a retrospective analysis of electronic medical data of patients with metastatic colorectal cancer who were candidates for chemotherapy during the study period (1 January 2007-30 June 2014) and died before 31 December 2014. Quality-of-cancer-care indicators were calculated for the overuse of chemotherapy and referral to hospice. Predictive factors of chemotherapy discontinuation and hospice referral in end-of life care were investigated using parametric and nonparametric methods. RESULTS: Of the 365 patients who died before 31 December 2014, 26 (7.1%) received chemotherapy in the last 14 days of life and 36 (9.8%) started a new chemotherapy regimen in the last 30 days of life. Factors associated with the overuse of chemotherapy were being < 70 years of age for both indicators and not having received advanced chemotherapy treatments for the former indicator. The majority of patients (74.7%) had access to hospice services, of whom only a small percentage (7.2%) accessed them very near to death. CONCLUSIONS: According to the criteria used, our Institute provides a good quality of cancer care for dying colorectal cancer patients, measured by the use of chemotherapy and referral to hospice in their last days of life.

A surveillance system model for central line-associated bloodstream infections (CLABSI) coordinated at the regional level: a pilot feasibility study.

We describe the methods used to define a surveillance model to incorporate into activities aimed at preventing central line-associated bloodstream infections (CLABSI) in non-critical care units (NCCUs) and designed to be implemented at the regional level. In 2015 we conducted a pilot feasibility study in three NCCUs based in hospitals of the Regional Health System of Emilia Romagna to evaluate the feasibility of the proposed model and to test its accuracy and cost-effectiveness in terms of resources needed to maintain the system. Our results indicate that the system is feasible at the regional level by using the available sources and instruments to collect data in clinical practice context. Observation of device utilization for at least three months in all NCCU wards is needed in order to prioritize the medical area on which to focus costs for surveillance prior to implementing it on a regular basis.

EEG correlates of social interaction at distance.

This study investigated EEG correlates of social interaction at distance between twenty-five pairs of participants who were not connected by any traditional channels of communication. Each session involved the application of 128 stimulations separated by intervals of random duration ranging from 4 to 6 seconds. One of the pair received a one-second stimulation from a light signal produced by an arrangement of red LEDs, and a simultaneous 500 Hz sinusoidal audio signal of the same length. The other member of the pair sat in an isolated sound-proof room, such that any sensory interaction between the pair was impossible. An analysis of the Event-Related Potentials associated with sensory stimulation using traditional averaging methods showed a distinct peak at approximately 300 ms, but only in the EEG activity of subjects who were directly stimulated. However, when a new algorithm was applied to the EEG activity based on the correlation between signals from all active electrodes, a weak but robust response was also detected in the EEG activity of the passive member of the pair, particularly within 9 - 10 Hz in the Alpha range. Using the Bootstrap method and the Monte Carlo emulation, this signal was found to be statistically significant.

Is a clear benefit in survival enough to modify patient access to the surgery service? A retrospective analysis in a cohort of gastric cancer patients.

BACKGROUND: Surgery has become an important tool for cancer treatment, requiring many available resources and a good organization of the surgery service. The aim of this study was to provide robust data for policymakers on the impact of hospital volume on survival, taking into account different sources of information. METHODS: We performed a retrospective study in a cohort of patients with gastric cancer submitted to partial or total gastrectomy. Data for the analysis were retrieved from regional administrative databases, the regional death registry, and histological reports. The main outcome measures were operative mortality and long-term survival. The associations between hospital volume and risk of mortality were calculated using a Cox multiple regression analysis. RESULTS: The estimated relationship between operative mortality and volume was not statistically significant. Conversely, high-volume hospitals had an increased likelihood of long-term survival compared to low-volume institutions: hazard ratio 0.79 (95% confidence interval, 0.66-0.94, p = 0.01). The percentage variation between crude and adjusted HRs using only administrative data or administrative and histological data was very small. However, the combined use of administrative and clinical data provided a more accurate model for estimating risk-adjusted mortality. CONCLUSIONS: A positive association between hospital volume and survival was evident for long-term outcome after adjusting for patient and tumor confounding. Moreover, the patient's choice of hospital was not guided by specific care pathways or screening programs, and prognosis was not poorer for patients in high-volume hospitals. These findings suggest that there is leeway for improving access to surgery for gastric cancer patients.