Objective: To determine the prophylactic efficacy of short-term intensive preoperative inspiratory muscle training on the incidence of postoperative pulmonary complications in patients scheduled for cardiac surgery. Design: Single-blind, randomized controlled pilot study. Setting: TEDA International Cardiovascular Hospital, China. Subjects: In total, 197 subjects aged ⩾50 years scheduled for cardiac surgery were selected. Intervention: The intervention group (n = 98) received five days of preoperative inspiratory muscle training on top of the usual care received by the patients in the control group (n = 99). Main measures: The primary outcome variable was the occurrence of postoperative pulmonary complications. The secondary outcome variables were inspiratory muscle strength, lung function and length of hospitalization. Results: After cardiac surgery, a total of 10 (10.2%) of the 98 patients in the intervention group and 27 (27.3%) of 99 patients in the control group had postoperative pulmonary complications (risk ratio, 0.23; 95% confidence interval (CI), 0.09-0.58, P = 0.002). The study revealed that, compared with the control 828212C RE0010.1177/0269215519828212Clinical RehabilitationChen et al.
Motivated by the holographic complexity proposals, in this paper, we investigate the time dependence of the complexity for the Fermionic thermofield double state (TFD) using the Nielsen approach and Fubini-Study (FS) approach separately. In both two approaches, we discuss the results for different reference states: the Dirac vacuum state and the Gaussian state which has no spatial entanglement (NSE). For Dirac vacuum reference state, we find that the complexity by both two approaches is time independent and the circuit complexity shares the same expression for both methods with the L 2 norm. For the NSE reference state, the complexity by the Nielsen approach is time-dependent while it by the FS approach is time-independent. Further, we find our dynamical results are in good agreement with the bosonic case, where the complexity evolves in time and saturates after a time at the order of the inverse temperature. And we show that the complexity of formation is also shared same similar behaviors with the holographic complexity.
BackgroundAlthough perioperative care during heart surgery has improved considerably, the rate of postoperative complications has remained stable. It has not been concluded how to better apply grip strength to clinical, postoperative complications. So our study aimed at researching the best way for using grip value for predicting early postoperative complications.MethodsA total of 212 patients with mean age 63.8 ± 6.3 who underwent cardiac surgery participated in our study. We analyzed the ROC curve of grip strength, grip/weight and grip recovery with complications, found the best cutoff point. Logistic regression confirmed the association between grip strength grouping and complications.ResultsWe found that 36 patients had 30-day complications. EuroSCORE were 2.15 ± 1.52 and 2.42 ± 1.58 between normal and complication groups, respectively. The area under the receiver-operating characteristic curve (AUC) of grip recovery take the most area (0.837, p < 0.001), and the cutoff point was 83.92%. In logistic regression, lower grip recovery has higher risk impact on 30-day complications for 25.68 times than normal group, after adjusted surgery-related factors. After regrouped characteristic information by grip recovery cutoff point, we found that percentage of the estimated 6 min walk distance (41.5 vs 48.3, p = 0.028) and hospitalization time (7.2 vs 6.1, p = 0.042) had worse trends in lower recovery group.ConclusionsPoor grip recovery may be related to higher risk of postoperative complications within 30 days after discharge in middle-aged and older people independent of surgical risk. The results of this study provide a reference for the development of rehabilitation programs in the early postoperative recovery, and may also be a prognostic indicator for postoperative high-risk groups.Trial registrationOur research was registered on Research Registry website, the registry number was ChiCTR1800018465. Date: 2018/9/20. Status: Successful.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.