Predictive value of systemic immune inflammation index and somatic symptom scale-China in the occurrence of in-hospital major adverse cardiovascular events after first-episode of acute myocardial infarction undergoing PCI

Objective·To investigate the predictive value of systemic inflammatory index (SII) and somatization symptom score-China (SSS-CN) for major adverse cardiovascular events (MACEs) in patients with first-episode acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI).Methods·Three hundred and five first-episode AMI patients who received PCI treatment at the Cardiology Department of Anhui Second People's Hospital from September 2021 to September 2023 were included in the study. Enrolled patients were divided into MACEs group (n=203) and non-MACEs group (n=102) based on whether MACEs events occurred during hospitalization. Descriptive statistical analysis was performed on the general data such as gender, age and laboratory test results of the two groups of patients, and binary Logistic regression test was conducted for statistically significant items according to the analysis results. According to the results, receiver operating characteristic (ROC) curves were further drawn to evaluate the value of SII and SSS-CN in predicting the occurrence of MACEs in hospital. On this basis, coronary syntax score (SS) was combined to evaluate the predictive efficacy of the three combinations, and the optimal cut-off value was determined according to the maximum Jordan index.Results·A total of 203 patients had MACEs events, among whom 179 (88.1%) had heart failure, 16 (7.9%) had severe arrhythmia, 4 (2.0%) had shock, 2 (1.0%) had recurrent myocardial infarction, and 2 (1.0%) died. Compared with the non-MACEs group, the SII and SSS-CN scores in the MACEs group were significantly increased (1 925.86 vs 934.23, 38.57 vs 23.30; both P<0.05). The binary Logistic results suggested that both SII and SSS-CN were independent risk factors for the occurrence of MACEs. The ROC curve results showed that the prediction efficiency was the best when SII ≥ 952, with a sensitivity of 64.0% and a specificity of 62.7% (AUC 0.675, 95% CI 0.612‒0.737). The prediction efficiency was the best when SSS-CN ≥ 28.5, with a sensitivity of 80.7% and a specificity of 77.5% (AUC 0.840, 95% CI 0.794‒0.886). The predictive performance was further improved after combining the syntax score (AUC 0.898, 95% CI 0.862‒0.933).Conclusion·The admission SII and SSS-CN scores of first-episode AMI patients are independent risk factors for the occurrence of MACEs during hospitalization after PCI. Early monitoring of SII changes in first-episode AMI patients after PCI or SSS-CN scores for patients with obvious Somatization symptoms can help identify high-risk patients for the occurrence of MACEs in the hospital

Tightly Coupled 3D Lidar Inertial SLAM for Ground Robot

This paper proposes a robotic state estimation and map construction method. The traditional lidar SLAM methods are affected by sensor measurement noise, which causes the estimated trajectory to drift, especially along the altitude direction caused by lidar noise. In this paper, ground parameters in the environment are extracted to construct the ground factors to compress the trajectory estimation drifting along the altitude direction using the characteristics of constant robot pose relative to the ground. Our method uses tightly coupled lidar and inertial to obtain low-drift lidar odometry factors by factor graph optimization. The optimized lidar odometry factors are then added to a global factor graph, together with ground, loop closure, and GPS factors to obtain accurate robot state estimation and mapping after factor graph optimization. The experimental results show that our method has comparable results with advanced lidar SLAM methods, and even performs better in some complex and large-scale environments

Advances in the Research of the Regulation of Chinese Traditional Medicine Monomer and Its Derivatives on Autophagy in Non-small Cell Lung Cancer

The high morbidity and mortality of non-small cell lung cancer (NSCLC) did influence the quality of life of tumor patients world-wide. There is an urgent need to develop new therapies that have high anti-tumor activity and low toxicity side effects. It is widely accepted that autophagy can play diverse roles in carcinogenesis, such as induces pro-death of lung cancer cells or helps the escape from cell death, making it become a proper anticancer target. It’s believed that various monomers of Chinese traditional medicine closely correlates to anti-NSCLC activities, and that even could affect the acquired multiple drug resistance (MDR). Furthermore, autophagy might be the underling mechanisms which could play a role as the candidate targets of natural active compounds. Recent studies of terpenoids, alkaloid, dietary polyphenols, saponins and other active ingredients that extracted from a large variety of herbs suggest that different monomer compounds could either regulate the activity of pro-death autophagy or influence the level of protective autophagy of NSCLC cells, thus changing their drug sensitivity and cell viability. This paper aims to give a systemic description of the latest advances about natural compounds and their derivatives that involved in tumorigenesis of NSCLC via inducing the autophagy

Origin and evolution of unconformities in a continental rift basin: a case study from the Lishu Depression in Songliao Basin, China

A variety of unconformity types are commonly developed during the rifting of a continental basin. Identifying their origin and evolution is prerequisite to understanding the complex tectono-sedimentary evolution of the basin and to evaluate the basin’s oil and gas resources. Based on the 2D/3D seismic, geophysical logging, and subsurface lithological data, the unconformities within the rift layer of the Lishu Depression in the Songliao Basin are identified as disconformities, nonconformities and four ‘types’ of angular unconformities. Their evolution and origin are analyzed by associating the unconformities with the basin’s tectonic evolution. The results show that the rifting of the Lishu Depression was not a continuous process. Instead, several regional tectonic episodes influenced the basin’s evolution. Episodic compressional events and a phase of extension along the main faults determined the basin configuration and sedimentary fill characteristics of different sub-rifting stages. The tectonic history and related paleogeomorphology changes are the dominant factors in the formation of these different unconformity types. During the rifting process, the type and distribution of unconformity varied. In the initial rifting stage, the basin developed a nonconformity and four types of angular unconformities as the result of both regional uplift and fault block tilt. Rotation and tilting of the fault blocks during the intensive rifting resulted in two types of angular unconformities. Finally, in the recession rifting stage, a different form of angular unconformity and disconformity developed, mainly as a result of the regional uplift and subsequent subsidence.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

The response of phytoplankton in a subtropical lake to the cessation of aquaculture: a case study of Lake Dianshan, China

To assess the effectiveness of aquaculture cessation for improving water quality, we analysed the response of the phytoplankton community to the cessation of aquaculture in Lake Dianshan, Shanghai, China. Quantitative analyses of phytoplankton and nutrient content were undertaken monthly from 2004 through 2008. After the cessation of aquaculture, no significant changes in nutrient concentration were detected. Nevertheless, the phytoplankton community changed greatly after the cessation. Firstly, the phytoplankton species richness as well as the Shannon–Wiener diversity index increased. Secondly, the chlorophyll-a concentration and the phytoplankton density declined sharply. This decrease was caused primarily by a decrease in Cyanophyta. Additionally, the Chlorophyta, Bacillariophyta and Cryptophyta increased, leading to a decrease in the relative biomass of Cyanophyta. Thirdly, the dominant species shifted from the toxic cyanophyte Microcystis sp. to less harmful Cyanophyta such as Merismopedia sp. and Chroococcus sp., along with Chlorophyta, Bacillariophyta and Cryptophyta. The phytoplankton community composition improved, indicating that the overall water quality was improved after the cessation. However, the changes in the phytoplankton community were more likely to be associated with the physical and biotic changes caused by the removal of aquaculture than with the variation in nutrient levels. Our study indicated that phytoplankton monitoring, especially in summer, is essential for assessing the water quality because an overall improvement in water quality may also be achieved without significant changes in nutrient concentrations. The rebounding of Cyanophyta in 2008 highlighted the importance of controlling nutrient loading by inflow for a substantial improvement in water quality. These results are relevant for managing subtropical eutrophic lakes.The cessation of aquaculture in a subtropical shallow lake improved the overall water quality despite little change in nutrient concentration because the phytoplankton abundance decreased, the species richness and diversity index increased, and the dominant species changed from toxic to less harmful species after the cessation

Preparation of triple-negative breast cancer vaccine through electrofusion with day-3 dendritic cells.

Dendritic cells (DCs) are professional antigen-presenting cells (APCs) in human immune system. DC-based tumor vaccine has met with some success in specific malignancies, inclusive of breast cancer. In this study, we electrofused MDA-MB-231 breast cancer cell line with day-3 DCs derived from peripheral blood monocytes, and explored the biological characteristics of fusion vaccine and its anti-tumor effects in vitro. Day-3 mature DCs were generated from day-2 immature DCs by adding cocktails composed of TNF-α, IL-1β, IL-6 and PEG2. Day-3 mature DCs were identified and electofused with breast cancer cells to generate fusion vaccine. Phenotype of fusion cells were identified by fluorescence microscope and flow cytometer. The fusion vaccine was evaluated for T cell proliferation, secretion of IL-12 and IFN-γ, and induction of tumor-specific CTL response. Despite differences in morphology, day-3 and day-7 DC expressed similar surface markers. The secretion of IL-12 and IFN-γ in fusion vaccine group was much higher than that in the control group. Compared with control group, DC-tumor fusion vaccine could better stimulate the proliferation of allogeneic T lymphocytes and kill more breast cancer cells (MDA-MB-231) in vitro. Day-3 DCs had the same function as the day-7 DCs, but with a shorter culture period. Our findings suggested that day-3 DCs fused with whole apoptotic breast cancer cells could elicit effective specific antitumor T cell responses in vitro and may be developed into a prospective candidate for adoptivet immunotherapy