After China launched its "Belt and Road" (BR) initiative, the international community became concerned that it may worsen the environmental performance of the BR countries. Due to a lack of data for empirical testing, this paper addresses this concern through an indirect method and draws the implications of the potential impacts of China's BR initiative. This method empirically examines the effects of trade integration and regional cooperation, two major functions of the BR initiative, on energy efficiency (EE) convergence, a concept that describes the catching up process of EE across countries. A sample of 89 countries was selected to analyse the process of EE convergence from 2000 to 2014. The results indicate that although the gaps in EE among countries around the world become larger after 2010, regional cooperation may lead to a convergence process. It also finds that trade integration has a positive influence on convergence across the countries, especially among middle-and low-income countries. The results suggest that the BR initiative, through its roles in trade integration and regional cooperation, may promote EE convergence among countries. This is a desirable environmental outcome. This research also provides policy implications for both China and the other BR countries.

Background Frailty has been generally been associated with adverse events in older patients under surgery. Frailty phenotype is the most widely used instrument in the research literature. However the effect of the frailty phenotype on post-operative events was still unclear. The purpose of this systematic review was to explore the association between frailty phenotype and post-operative complications among surgical patients aged 60 years and over. Methods Relevant studies were identified by systematically searching of PubMed, Embase, the Cochrane Library and the Web of Science databases from their beginning to March 2017. Both random-effects models and fixed-effects models were used to combine the risk ratios (RRs) and 95% confidence intervals (CIs). A subgroup analysis was performed to identify the sources of heterogeneity and a sensitivity analysis to identify the strength of the results. Results Twelve prospective cohort studies involving a total of 2278 patients were included. The risk of post-operative complications in the frail group was higher than the non-frail group (RR: 1.6; 95% CI: 1.60–2.13). Compared with the robust group, geriatric patients with frailty or pre-frailty had a higher risk of post-operative complications. The RRs were 1.77 (95% CI: 1.40–2.25) and 1.45 (95% CI: 1.17–1.80), respectively. Conclusion Frailty phenotype should be considered as a useful risk assessment tool for preoperative evaluations of geriatric patients by medical staff.

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Purpose: To determine the association between frailty and postoperative complications in elderly Chinese patients and to determine whether addition of frailty assessment improves the predictive ability of the American Society of Anesthesiologists (ASA) score, Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM), and Estimation of Physiologic Ability and Surgical Stress (E-PASS) score. Patients and methods: A prospective cohort study was conducted in a tertiary hospital. Elderly patients undergoing major thoracic or abdominal surgery were included. Frailty phenotype and ASA, POSSUM, and E-PASS scores were assessed. Demographic, preoperative, and surgical variables were extracted from medical records. Primary outcome measure was in-hospital Clavien-Dindo ≥ grade II complications. Multiple logistic regression was used to examine the association between frailty and complications. Receiver operating characteristic curves were used to explore the predictive ability of frailty. Results: Prevalence of frailty was 26.12%. Significant differences were observed between the frail and non-frail groups with respect to age, Activities of Daily Living, Charlson Comorbidity Index, respiratory function, presence of malignancy, serum albumin, prealbumin, and hemoglobin levels ( P <0.05). ASA, POSSUM, and E-PASS scores were higher in the frail group. After adjusting for all covariates, frailty was significantly associated with postoperative complications in hospital [odds ratio: 16.59, 95% CI: 4.56–60.40, P <0.001]. The area under the curve (AUC) for frailty was 0.762 (95% CI: 0.703–0.814). The AUC for ASA, POSSUM, and E-PASS for prediction of complications was 0.751 (95% CI: 0.692–0.804), 0.762 (95% CI: 0.704–0.814), and 0.824 (95% CI: 0.771–0.870), respectively. Addition of frailty assessment increased the AUC to 0.858 (95% CI: 0.808–0.899), 0.842 (95% CI: 0.790–0.885), and 0.854 (95% CI: 0.803–0.896), respectively. Conclusion: Frailty is an effective predictor of postoperative complications in elderly Chinese patients undergoing major thoracic and abdominal surgery. Frailty assessment can improve the predictive ability of current surgical risk assessment tools. Frailty phenotype should be considered perioperatively. Frailty assessment could also expand the scope for nurses to evaluate patients for safety management.

The case management index provides references for the efficient allocation of registered nurses in clinical practice.