Accounting, Social Innovation and Finance –Teaching financial literacy using double entry bookkeeping

D3.2: Training Material on Accountin

Entrepreneur Capital: Case 4 of: Four individual case studies following a common template. A deliverable of the project: “Creating Economic Space for Social Innovation” (CRESSI).

Part of Deliverable D2.2 of the FP-7 Project: CRESSI (613261

Resilience and Financial Literacy

Chapter 7 of: Deliverable D1.1: Report on Institutions, Social Innovation & System Dynamics from the Perspective of the Marginalised

Beckert, Sen and Finance: A response to marginalisation mindful of today’s prevailing monetary and financial environment

Chapter 4 of: Deliverable D1.1: Report on Institutions, Social Innovation & System Dynamics from the Perspective of the Marginalised

From Common Framework to measurement and analysis

Chapter 11 of: Deliverable D1.1: Report on Institutions, Social Innovation & System Dynamics from the Perspective of the Marginalised

Financial and monetary innovations for overcoming social exclusion. The financing of generalised education (as instanced in the Netherlands and England). (= Case 2 of: Evidence base of three comprehensive case studies following a common template. A deliverable of the project: “Creating Economic Space for Social Innovation” (CRESSI).

Case 2 of: Evidence base of three comprehensive case studies following a common template. Part of Deliverable D2.1 of the FP-7 Project: CRESSI (613261)

Special Issue of the Journal of Human Development and Capabilities

CRESSI Deliverable 8.

Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study.

Background: Acute illness, existing co-morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods: This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2-week blocks over a continuous 3-month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results: A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30-day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30-day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c-statistic 0·65). Discussion: Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability