ObjectivesTo collect data of randomised controlled trials (RCTs) and clinical controlled trials (CCTs) for evaluating the effects of enhanced recovery after surgery on postoperative recovery of patients who received total hip arthroplasty (THA) or total knee arthroplasty (TKA).MethodsRelevant, published studies were identified using the following key words: arthroplasty, joint replacement, enhanced recovery after surgery, fast track surgery, multi-mode analgesia, diet management, or steroid hormones. The following databases were used to identify the literature consisting of RCTs or CCTs with a date of search of 31 December 2016: PubMed, Cochrane, Web of knowledge, Ovid SpringerLink and EMBASE. All relevant data were collected from studies meeting the inclusion criteria. The outcome variables were postoperative length of stay (LOS), 30-day readmission rate, and total incidence of complications. RevMan5.2. software was adopted for the meta-analysis.ResultsA total of 10 published studies (9936 cases) met the inclusion criteria. The cumulative data included 4205 cases receiving enhanced recovery after surgery (ERAS), and 5731 cases receiving traditional recovery after surgery (non-ERAS). The meta-analysis showed that LOS was significantly lower in the ERAS group than in the control group (non-ERAS group) (p<0.01), and there were fewer incidences of complications in the ERAS group than in the control group (p=0.03). However, no significant difference was found in the 30-day readmission rate (p=0.18).ConclusionsERAS significantly reduces LOS and incidence of complications in patients who have had THA or TKA. However, ERAS does not appear to significantly impact 30-day readmission rates.

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Hot section components of aircraft engines like high pressure turbine (HPT) discs usually operate under complex loadings coupled with multi‐source uncertainties. The effect of these uncertainties on structural response of HPT discs should be accounted for its fatigue life and reliability assessment. In this study, a probabilistic framework for fatigue reliability analysis is established by incorporating FE simulations with Latin hypercube sampling to quantify the influence of material variability and load variations. Particularly, variability in material response is characterized by combining the Chaboche constitutive model with Fatemi‐Socie criterion. Results from fatigue reliability and sensitivity analysis of a HPT disc indicated that dispersions of basic variables {},,ρω1σf′ must be taken into account for its fatigue reliability analysis. Moreover, the proposed framework based on the strength‐damage interference provides more reasonably correlations with its field number of flights rather than the load‐life interference one.