COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spread rapidly and affected most of the world since its outbreak in Wuhan, China, which presents a major challenge to the emergency response mechanism for sudden public health events and epidemic prevention and control in all countries. In the face of the severe situation of epidemic prevention and control and the arduous task of social management, the tremendous power of science and technology in prevention and control has emerged. The new generation of information technology, represented by big data and artificial intelligence (AI) technology, has been widely used in the prevention, diagnosis, treatment and management of COVID-19 as an important basic support. Although the technology has developed, there are still challenges with respect to epidemic surveillance, accurate prevention and control, effective diagnosis and treatment, and timely judgement. The prevention and control of sudden infectious diseases usually depend on the control of infection sources, interruption of transmission channels and vaccine development. Big data and AI are effective technologies to identify the source of infection and have an irreplaceable role in distinguishing close contacts and suspicious populations. Advanced computational analysis is beneficial to accelerate the speed of vaccine research and development and to improve the quality of vaccines. AI provides support in automatically processing relevant data from medical images and clinical features, tests and examination findings; predicting disease progression and prognosis; and even recommending treatment plans and strategies. This paper reviews the application of big data and AI in the COVID-19 prevention, diagnosis, treatment and management decisions in China to explain how to apply big data and AI technology to address the common problems in the COVID-19 pandemic. Although the findings regarding the application of big data and AI technologies in sudden public health events lack validation of repeatability and universality, current studies in China have shown that the application of big data and AI is feasible in response to the COVID-19 pandemic. These studies concluded that the application of big data and AI technology can contribute to prevention, diagnosis, treatment and management decision making regarding sudden public health events in the future.
Background: Colorectal carcinoma (CRC) is one of the most prevalent malignancies globally. Ferroptosis, a novel type of cell death, is critical in the development and treatment of tumors.Objective: This study was designed to establish a genetic signature for ferroptosis which has a predictive effect on the outcomes and immunotherapeutic response of CRC.Methods: Data of CRC patients were retrieved from TCGA and GEO databases. The genes associated with ferroptosis were obtained from GeneCards. The genetic signature for ferroptosis was identified by performing Cox regression analysis. Kaplan–Meier and ROC analysis were performed to assess the prognosis role of the genetic signature. CIBERSORT tool was used to identify a potential association of the genetic signature with the immune cells. The potential immunotherapeutic signatures and drug sensitivity prediction targeting this signature were also discussed. Immunohistochemistry was used to detect expression of ferroptosis-associated genes in CRC tissues and adjacent tissues.Results: A ferroptosis-associated gene signature comprised of three genes (CDKN2A, FDFT1, and ACSL6) was developed for prediction of prognosis and evaluation of immune responses in CRC. Patients in the high-risk group tended to have a poor prognosis. In CRC, the ferroptosis-associated gene signature may function as independent predictors. Additionally, the expressional levels of the immune checkpoint proteins PD-L1 and CTLA-4 were substantially increased in the high-risk group. Moreover, we can distinguish between patients based on their immunotherapeutic responses more effectively if we categorize them by this signature. Additionally, candidate compounds were identified for the differentiation of CRC subtypes.Conclusion: The ferroptosis-associated gene signature identified in this study is effective in predicting the prognosis and evaluating immunotherapeutic response in CRC patients, and provides us with novel insights into the potential effect of ferroptosis targeted treatment on CRC.
Aims To evaluate the application effect of individualized pressure setting strategy of pneumatic tourniquet in orthopaedic surgery. Background Some individualized setting pressures of pneumatic tourniquet are lower than the standard pressure recommended in the textbook (Nursing of Operating Room, People's Military Publishing House, 2008). Design Meta‐analysis. Data Sources CL, WOS, PubMed, CNKI, CBM, VIP and Wan‐fang DATA. Review Methods We searched studies on the application effect of individualized pressure of pneumatic tourniquet from the establishment date of the databases to September 2017. Study quality was assessed using the quality evaluation method recommended in the Cochrane Handbook 5.1.0 (Higgins, 2011). The primary outcome was inflation pressure. Results We identified nine studies including 1,200 patients. The individualized pressure setting strategy can provide a lower inflation pressure (four studies), improve haemostatic effect (six studies) and reduce the incidence of related complications (eight studies). Conclusions An individualized inflation pressure is recommended when using the tourniquet in orthopaedic surgery. And the setting pressure might be a minimum and efficiency one, by accessing the the systolic blood pressure and limb circumferences of the patient. Impact This study addressed that the individualized pressure setting strategy of pneumatic tourniquet can provide a lower inflation pressure and a higher application value in orthopaedic limb surgery. However, greater attention should be focused on how to unify the individualized pressure setting strategy. Meanwhile, the instructions for use from manufacturers need to be updated. Therefore, it is recommended to conduct a large‐sample multi‐centre high‐quality randomized controlled trial in strict accordance with the CONSORT standard.
Background. This study is aimed at investigating the clinical characteristics and prognosis-affecting factors of patients with rectal neuroendocrine neoplasms (r-NENs) and hepatic metastases and offering a scientific-theoretical basis for selective use of an optimized treatment method for r-NENs. Methods. This study was retrospectively evaluated based on the analysis of the data from Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2016. Results. A total of 4,723 r-NEN patients were enrolled in this study, including 168 patients with hepatic metastases (3.56%). Kaplan-Meier analysis revealed that the overall survival (OS) of patients with hepatic metastases receiving primary tumor excision was obviously greater than that of patients without receiving primary tumor excision (OS: nonsurgical patients vs. patients undergoing local resection: P < 0.0001 and nonsurgical patients vs. patients undergoing radical resection: P < 0.0001 ); the patients with hepatic metastases in the chemotherapy group had a significantly worse prognosis compared with those in the nonchemotherapy group (OS: P = 0.021 ). Multivariate cox regression analysis revealed that independent affecting factors of overall and tumor-related prognoses in patients with hepatic metastases included tumor grade (G3 and G4), surgical treatment, and chemotherapy. Conclusion. Among r-NEN patients with hepatic metastases, those undergoing radical excision of lower-grade tumors and chemotherapy will have a better prognosis.
ObjectiveTo obtain various myocardial strain parameters by using two-dimension speckle tracking echocardiography (2D-STE) technique, calculate the myocardial composite index (MCI) which combines the global longitudinal strain (GLS) of left ventricle and the left ventricular twist (LVtw), and evaluate their diagnostic efficacies for subclinical left ventricular (LV) dysfunction in patients undergoing anthracycline chemotherapy.MethodsA total of 35 female breast cancer patients, who underwent postoperative chemotherapy in the Department of Thyroid and Breast Surgery of Nantong Third People’s Hospital from September 2018 to December 2019 and had successful follow-up, were included into the chemotherapy group, and the patients were evaluated respectively at baseline and in early, interim and later chemotherapy stages according to the course of chemotherapy; in addition, 30 healthy women undergoing physical examination during the same period were included into the control group. In different chemotherapy stages, the data such as left ventricular end diastolic diameter (LVEDD), left ventricular end systolic diameter (LVESD), interventricular septal thickness (IVST), left ventricular posterior wall thickness (LVPWT) and left ventricular ejection fraction (LVEF) were collected by using conventional echocardiography, and various myocardial strain parameters such as GLS, global radial strain (GRS), global circumferential strain(GCS) and LVtw were measured using 2D-STE, and then MCI was calculated. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the application values of various parameters in the diagnosis of early cardiotoxicity.ResultsThere was a difference in MCI between patients at baseline and in the early chemotherapy stage; there were differences in GLS, LVtw and MCI between patients at baseline and in the interim chemotherapy stage; there were differences in four parameters such as MCI, GLS, LVtw and GCS between patients at baseline and in the later chemotherapy stage; The AUC of MCI was 0.915, when the cutoff value was –210.89 (%×°), the sensitivity and specificity were 84.37% and 90.41%, respectively.ConclusionMCI combines the longitudinal and torsional motions of myocardium, and thus has a better diagnostic value for early detection of subclinical LV dysfunction caused by anthracycline chemotherapy drugs compared with strain parameters in a single direction.
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