Simple and objective prediction of survival in patients with lung cancer: staging the host systemic inflammatory response

Background. Prediction of survival in patients diagnosed with lung cancer remains problematical. The aim of the present study was to examine the clinical utility of an established objective marker of the systemic inflammatory response, the Glasgow Prognostic Score, as the basis of risk stratification in patients with lung cancer. Methods. Between 2005 and 2008 all newly diagnosed lung cancer patients coming through the multidisciplinary meetings (MDTs) of four Scottish centres were included in the study. The details of 882 patients with a confirmed new diagnosis of any subtype or stage of lung cancer were collected prospectively. Results. The median survival was 5.6 months (IQR 4.8–6.5). Survival analysis was undertaken in three separate groups based on mGPS score. In the mGPS 0 group the most highly predictive factors were performance status, weight loss, stage of NSCLC, and palliative treatment offered. In the mGPS 1 group performance status, stage of NSCLC, and radical treatment offered were significant. In the mGPS 2 group only performance status and weight loss were statistically significant. Discussion. This present study confirms previous work supporting the use of mGPS in predicting cancer survival; however, it goes further by showing how it might be used to provide more objective risk stratification in patients diagnosed with lung cancer

Cohort profile:The Scottish SHARE Mental Health (SHARE-MH) cohort - linkable survey, genetic and routinely collected data for mental health research

PURPOSE: The SHARE Mental Health (SHARE-MH) cohort was established to address the paucity of clinical and genetic data available for mental health research. The cohort brings together detailed mental health questionnaire responses, routinely collected electronic health data and genetic data to provide researchers with an unprecedented linkable dataset. This combination of data sources allows researchers to track mental health longitudinally, across multiple settings. It will be of interest to researchers investigating the genetic and environmental determinants of mental health, the experiences of those interacting with healthcare services, and the overlap between self-reported and clinically derived mental health outcomes.PARTICIPANTS: The cohort consists of individuals sampled from the Scottish Health Research Register (SHARE). To register for SHARE, individuals had to be over the age of 16 years and living in Scotland. Cohort participants were recruited by email and invited to take part in an online mental health survey. When signing up for SHARE, participants also provided written consent to the use of their electronic health records and genetic data-derived from spare blood samples-for research purposes.FINDINGS TO DATE: From 5 February 2021 to 27 November 2021, 9829 individuals completed a survey of various mental health topics, capturing information on symptoms, diagnoses, impact and treatment. Survey responses have been made linkable to electronic health records and genetic data using a single patient identifier. Linked data have been used to describe the cohort in terms of their demographics, self-reported mental health, inpatient and outpatient hospitalisations and dispensed prescriptions.FUTURE PLANS: The cohort will be improved through linkage to a broader variety of routinely collected data and to increasing amounts of genetic data obtained through blood sample diversion. We see the SHARE-MH cohort being used to drive forward novel areas of mental health research and to contribute to global efforts in psychiatric genetics.</p

Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes

There is an increasing expectation that advanced, computationally expensive machine learning (ML) techniques, when applied to large population-wide neuroimaging datasets, will help to uncover key differences in the human brain in health and disease. We take a comprehensive approach to explore how multiple aspects of brain structural connectivity can predict sex, age, general cognitive function and general psychopathology, testing different ML algorithms from deep learning (DL) model (BrainNetCNN) to classical ML methods. We modelled N = 8183 structural connectomes from UK Biobank using six different structural network weightings obtained from diffusion MRI. Streamline count generally provided the highest prediction accuracies in all prediction tasks. DL did not improve on prediction accuracies from simpler linear models. Further, high correlations between gradient attribution coefficients from DL and model coefficients from linear models suggested the models ranked the importance of features in similar ways, which indirectly suggested the similarity in models' strategies for making predictive decision to some extent. This highlights that model complexity is unlikely to improve detection of associations between structural connectomes and complex phenotypes with the current sample size

Low-Carbon Sustainable Precincts: An Australian Perspective

Australia’s urban built environment contributes significantly to the nation’s greenhouse gas emissions; therefore, encouraging urban development to pursue low-carbon outcomes will aid in reducing carbon in the overall economy. Cities and urban areas are configured in precincts, which have been identified as an ideal scale for low-carbon technologies that address energy, water and waste. Even though new governance models and systems are being created to enable low-carbon precincts to operate with a degree of independence within a broader centralised utility structure, greater effort is required to refocus governance on this smaller scale of delivery. Furthermore, at this time, no consistent carbon accounting framework is in place to measure emissions or emission reductions at this scale, thereby limiting the ability to acknowledge or reward progressive, sustainable low-carbon developments. To respond to this situation, a framework is proposed that could form both the basis of a carbon certification scheme for the built environment and provide a platform for generating carbon credits from urban development

The role of induction chemotherapy + chemoradiotherapy in localised pancreatic cancer: initial experience in Scotland

Background: Despite being relatively rare pancreatic cancer is one of the highest causes of death. Even within the potentially resectable group outcomes are poor. We present our initial experiences utilising a neoadjuvant approach to localised pancreatic cancer, evaluating survival, response rates and tolerability. Methods: This was a retrospective analysis of a prospectively maintained database. Patients from 2012 to 2015 referred to a busy regional Hepato-Pancreatic Biliary (HPB) MDT were included. Patients were classified according to respectability criteria (utilising NCCN guidelines) and a treatment plan agreed. Systemic therapy with either FOLFIRINOX or Gem/Cap was delivered followed by chemoradiotherapy if disease remained localised. Toxicity, response, pathological outcomes and survival were all recorded. Results: A total of 85 patients were included in the study: 45 had initially resectable disease; 19 required a response for resection and 21 had locally advanced inoperable disease; 34 patients underwent resection. The median survival for the potentially resectable group was 22.2 months while for those undergoing resection it was 37 months. Conclusions: We have demonstrated that a neoadjuvant approach is deliverable and tolerable. In addition we have demonstrated impressive survival results in patients undergoing resection with no detriment in outcome for those not proceeding to surgery

The role of induction chemotherapy + chemoradiotherapy in localised pancreatic cancer: initial experience in Scotland

Background: Despite being relatively rare pancreatic cancer is one of the highest causes of death. Even within the potentially resectable group outcomes are poor. We present our initial experiences utilising a neoadjuvant approach to localised pancreatic cancer, evaluating survival, response rates and tolerability. Methods: This was a retrospective analysis of a prospectively maintained database. Patients from 2012 to 2015 referred to a busy regional Hepato-Pancreatic Biliary (HPB) MDT were included. Patients were classified according to respectability criteria (utilising NCCN guidelines) and a treatment plan agreed. Systemic therapy with either FOLFIRINOX or Gem/Cap was delivered followed by chemoradiotherapy if disease remained localised. Toxicity, response, pathological outcomes and survival were all recorded. Results: A total of 85 patients were included in the study: 45 had initially resectable disease; 19 required a response for resection and 21 had locally advanced inoperable disease; 34 patients underwent resection. The median survival for the potentially resectable group was 22.2 months while for those undergoing resection it was 37 months. Conclusions: We have demonstrated that a neoadjuvant approach is deliverable and tolerable. In addition we have demonstrated impressive survival results in patients undergoing resection with no detriment in outcome for those not proceeding to surgery