The inverse problem of diffuse optical tomography (DOT) is ill-posed. Traditional method cannot achieve high imaging accuracy and the calculation process is time-consuming, which restricts the clinical application of DOT. Therefore, a method based on stacked auto-encoder (SAE) was proposed and used for the DOT inverse problem. Firstly, a traditional SAE method is used to solved the inverse problem. Then, the output structure of SAE neural network is improved to a single output SAE, which reduce the burden on the neural network. Finally, the improved SAE method is used to compare with traditional SAE method and traditional levenberg-marquardt (LM) iterative method. The result shows that the average time to solve the inverse problem of the method proposed in this paper is only 1.67% of the LM method. The mean square error (MSE) value is 46.21% lower than the traditional iterative method, 61.53% lower than the traditional SAE method, and the image correlation coefficient(ICC) value is 4.03% higher than the traditional iterative method, 18.7% higher than the traditional SAE method and has good noise immunity under 3% noise conditions. The research results in this article prove that the improved SAE method has higher image quality and noise resistance than the traditional SAE method, and at the same time has a faster calculation speed than the traditional iterative method, which is conducive to the application of neural networks in DOT inverse problem calculation.
ObjectiveTo explore the relationship between myocardial viability in patients with coronary artery disease who underwent elective coronary artery bypass grafting (CABG) and early application of intra-aortic balloon pump (IABP) after coronary revascularization, and to provide relevant clinical reference for the pre-implantation of 16G single-lumen catheter in the femoral artery of high-risk patients to facilitate the addition of IABP after operation.MethodsThis retrospective study included 521 patients (414 males and 107 females, aged 62.50±8.82 years) who underwent positron emission tomography (PET)-computed tomography (CT) perfusion-metabolism imaging prior to CABG surgery in our institution from December 2015 to August 2020. The myocardial viability information and left ventricular functional parameters were measured, including the proportion of non-viable myocardium (perfusion-metabolic imaging match), hibernating myocardium (perfusion-metabolic imaging mismatch) and dysfunctional myocardium (non-viable+viable myocardium), left ventricular ejection fraction, left ventricular end-diastolic volume and left ventricular end-systolic volume (LVESV). The patients were divided into an IABP group and a non-IABP group according to whether they received IABP treatment after revascularization. The clinical data were reviewed and compared to explore significant impact factors between the two groups. And the multivariate logistic regression analysis was performed to investigate the correlation between preoperative myocardial viability and early use of IABP after CABG.ResultsIn multivariate logistic regression analysis, the amount of non-viable, dysfunctional myocardium and LVESV value were identified as the independent predictors for the probability of IABP use in the initial postoperative period. Receiver operating characteristic analysis showed that 9.5% non-viable myocardium, 19.5% dysfunctional myocardium, and LVESV of 114.5 mL were the optimal cutoff for predicting early IABP implantation during CABG.ConclusionThe myocardial survival status displayed by preoperative PET-CT myocardial perfusion-metabolism imaging can predict the possibility of applying IABP in CABG perioperative period. In addition to routine pre-anesthesia assessment, anesthesiologists can conduct risk stratification assessment for patients with CABG according to the results of preoperative myocardial viability imaging, which is of great significance to ensure the perioperative safety of high-risk patients with CABG.
Objective To systematically review the efficacy and safety of different SGLT2 inhibitors in the treatment of heart failure. Methods The Cochrane Library, Web of Science, PubMed and EMbase databases were searched for randomized controlled trials on the efficacy and safety of SGLT2 inhibitors in patients with heart failure from inception to July 2, 2021. Two researchers independently screened literature, extracted data and evaluated the risk of bias of the included studies. Network meta-analysis was then performed using Stata 16.0 software. Results A total of 16 randomized controlled trials, including 15 312 patients, involving 5 interventions, namely dapagliflozin, empagliflozin, canagliflozin, sotagliflozin and ertugliflozin were included. Results of network meta-analysis showed that there was no significant difference in the compound outcome of hospitalization for heart failure or cardiovascular death, hospitalization for heart failure, all-cause mortality, risk of cardiovascular mortality and serious adverse reactions among patients with heart failure among 5 different SGLT2 inhibitors (P>0.05). Compared with placebo, both selective and non-selective SGLT2 inhibitors improved the risk of hospitalization for heart failure, hospitalization for heart failure, or compound cardiovascular mortality (P<0.05), while only selective SGLT2 inhibitors improved the risk of cardiovascular mortality, all-cause mortality, and serious adverse events (P<0.05). However, there was no significant difference between them (P>0.05). The area under the cumulative ordering probability curve of selective and non-selective SGLT2 inhibitors ranked first and second, except for the combined outcome of heart failure or cardiovascular death. Conclusion The current evidence indicates that there is no significant difference in the efficacy and safety of the 5 different SGLT2 inhibitors in the treatment of heart failure, and there is no significant difference between selective SGLT2 inhibitors and non-selective SGLT2 inhibitors. Due to the limited quantity and quality of included studies, more high-quality studies are needed to verify the above conclusion.
Tracheotomy is a commonly used measure in clinical rescue of critically ill patients, and it has an important impact on the survival outcome of patients. The time of extubation directly affects the recovery process of the patient. This article reviews the research progress of extubation management of tracheotomy patients at home and abroad, and mainly summarizes and elaborates from four aspects, including the role of the multidisciplinary team in tracheostomy management, where tracheostomy patients are extubated, conditions for extubation in tracheotomy patients, and wound care after extubation in tracheotomy patients. The purpose is to provide a reference for the selection of extubation timing and extubation management for patients with tracheotomy, to improve the success rate of extubation and improve the quality of life of patients.
With the continuous development of critical care medicine, the survival rate of critical ill patients continues to increase. However, the residual dysfunction will have a far-reaching impact on the burden on patients, families, and health-care systems, and will significantly increase the demand of the follow-up rehabilitation treatment. Critical illness rehabilitation intervenes patients who are still in the intensive care unit (ICU). It can prevent complications, functional deterioration and dysfunction, improve functional activity and quality of life, shorten the time of mechanical ventilation, the length of ICU stay and hospital stay, and also reduce medical expenses. Experts at home and abroad believe that early rehabilitation of critical ill patients is safe and effective. So rehabilitation should be involved in critical ill patients as early as possible. However, the promotion of this model is still limited by the setting of safety parameters, the ICU culture, the lack of critical rehabilitation professionals, and the physiological and mental cognitive status of patients. Rehabilitation treatment in ICU is constantly being practiced at home and abroad.