Objective To systematically evaluate the efficacy and safety of video-assisted thoracoscopic surgery (VATS) with different numbers of ports in the treatment of spontaneous pneumothorax. Methods We conducted a comprehensive search of CNKI, PubMed, The Cochrane Library, Web of Science, EMbase, Wanfang Data, and the Chinese Medical Journal Full-text Database for clinical controlled trials on VATS with different port numbers for spontaneous pneumothorax, from their inception to March 2023. Two researchers independently screened the literature and assessed its quality.The Newcastle-Ottawa Scale (NOS) was used to assess the methodological quality of cohort and case-control studies, and the Cochrane risk-of-bias tool was used to evaluate randomized controlled trials (RCT). Meta-analysis was performed using RevMan 5.4.1 software. Results A total of 107 studies were included, comprising 35 RCT, 2 cohort studies, and 70 case-control studies. All cohort and case-control studies included in the analysis had NOS scores≥7. The meta-analysis revealed that compared to two-port VATS (2P-VATS) and three-port VATS (3P-VATS), single-port thoracoscopic surgery (SPTS) was associated with less intraoperative blood loss (SMD=–1.58, 95%CI: –1.93 to –1.22, P<0.001; and SMD=–1.59, 95%CI: –2.03 to –1.14, P<0.001, respectively), shorter postoperative hospital stay (SMD=–1.05, 95%CI: –1.29 to –0.82, P<0.001; and SMD=–1.08, 95%CI: –1.39 to –0.77, P<0.001), shorter duration of postoperative chest tube drainage (SMD=–0.75, 95%CI: –1.00 to –0.50, P<0.001; and SMD=–1.23, 95%CI: –1.72 to –0.75, P<0.001), fewer postoperative complications (OR=0.34, 95%CI: 0.26 to 0.45, P<0.001; and OR=0.47, 95%CI: 0.33 to 0.68, P<0.001), and lower pain scores at 24, 48, and 72 hours after surgery (P<0.05). The operative time for SPTS was shorter than that for 2P-VATS (SMD=–0.53, 95%CI: –0.90 to –0.16, P=0.005) but showed no significant difference compared to 3P-VATS (P=0.21). When comparing 2P-VATS with 3P-VATS, 2P-VATS demonstrated less intraoperative blood loss (SMD=–1.02, 95%CI: –1.81 to –0.22, P=0.01), shorter postoperative hospital stay (SMD=–0.59, 95%CI: –1.11 to –0.06, P=0.03), shorter duration of chest tube drainage (SMD=–0.46, 95%CI: –0.85 to –0.08, P=0.02), fewer postoperative complications (OR=0.36, 95%CI: 0.22 to 0.59, P<0.001), and lower pain scores at 24, 48, and 72 hours after surgery (P≤0.05). Conclusion Both SPTS and 2P-VATS are effective and safe surgical options for spontaneous pneumothorax, deserving further promotion and application in clinical practice. However, due to limitations in the quantity and quality of the included studies, more large-sample, high-quality research is needed to validate these findings.

Objective To systematically evaluate the efficacy of immune checkpoint inhibitors (ICIs) in treating esophageal cancer patients of different genders. Methods Computer searches were conducted on PubMed, Cochrane Library, and Embase databases to collect randomized controlled trial (RCT) on ICIs treatment for esophageal cancer patients from the establishment of the databases to January 25, 2024. Two researchers independently screened the literature and extracted data according to the inclusion and exclusion criteria. The outcome indicators were overall survival (OS) and progression-free survival (PFS), and RevMan 5.4 software was used for meta-analysis. The modified Jadad scoring scale was used to evaluate the quality of the included literature. Results A total of 10 RCT involving 5364 esophageal cancer patients were included in this study, with 2684 patients in the trial group and 2680 patients in the control group. The Jadad scores of the included literature were all ≥6 points, indicating high-quality RCT. Meta-analysis results showed that female esophageal cancer patients receiving ICIs treatment [HR=0.72, 95%CI (0.59, 0.87), P<0.001] had a more significant median OS prolongation than male patients [HR=0.73, 95%CI (0.68, 0.78), P<0.001]; while male patients [HR=0.57, 95%CI (0.52, 0.64), P<0.001] had a more significant PFS prolongation than female patients [HR=0.72, 95%CI (0.55, 0.94), P=0.01]. Female patients treated with ICIs alone [HR=0.66, 95%CI (0.50, 0.87), P=0.003] had a more significant median OS prolongation than male patients [HR=0.79, 95%CI (0.72, 0.87), P<0.001]; while male patients receiving ICIs combined with chemotherapy [HR=0.67, 95%CI (0.61, 0.74), P<0.001] had a more significant median OS prolongation than female patients [HR=0.77, 95%CI (0.59, 1.01), P=0.06]. Conclusion Female patients receiving ICIs have a slight advantage in OS compared to male patients, while male patients have an advantage in PFS. Male patients receiving ICIs combined with chemotherapy have better survival benefits than female patients, while female patients using ICIs monotherapy have better survival benefits than male patients.

ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.

Objective To systematically evaluate the efficacy and safety of single-port thoracoscopic surgery (SPTS) in the treatment of spontaneous pneumothorax. Methods Computer searches were conducted in PubMed, The Cochrane Library, Web of Science, Embase, CNKI, WanFang, and the Chinese Medical Association databases to collect randomized controlled trials (RCTs) and cohort studies on the comparison of efficacy and safety of SPTS and three-port thoracoscopic surgery (TPTS) for the treatment of spontaneous pneumothorax from their inception to March 2024. The Cochrane RCT bias risk assessment tool and the Newcastle-Ottawa Scale (NOS) were used to assess the quality of RCTs and cohort studies, respectively. Meta-analysis was performed using RevMan 5.4.1. Results A total of 68 studies were included, comprising 23 RCTs and 45 cohort studies with a total of 5403 patients. The NOS scores of the cohort studies were 7-8 points. Meta-analysis results showed that compared with TPTS, SPTS had less intraoperative blood loss [SMD=−1.58, 95%CI (−1.93, −1.22), P<0.001], shorter postoperative hospital stay [SMD=−1.05, 95%CI (−1.29, −0.82), P<0.001], shorter postoperative drainage tube placement time [SMD=−0.75, 95%CI (−1.00, −0.50), P<0.001], fewer postoperative complications [OR=0.34, 95%CI (0.26, 0.45), P<0.001], fewer postoperative recurrences [OR=0.48, 95%CI (0.32, 0.72), P<0.001], and less pain at 24, 48, and 72 h postoperatively [SMD=−1.71, 95%CI (−2.13, −1.30), P<0.001; SMD=−1.70, 95%CI (−2.35, −1.06), P<0.001; SMD=−1.72, 95%CI (−2.16, −1.29), P<0.001]. Conclusion SPTS is safe and effective in the treatment of spontaneous pneumothorax with high clinical value and can be further promoted in clinical practice. Considering the limitations in the number and quality of included studies, researches with larger sample sizes and higher quality are needed to validate the above conclusions.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Diabetic kidney disease(DKD)is a microvascular complication of diabetes mellitus with a complex pathogenesis.Recent studies have revealed that autophagy and ferroptosis,as two forms of programmed cell death,exhibit dynamic interactions in DKD:autophagy maintains homeostasis by eliminating damaged organelles,while ferroptosis is driven by iron-dependent lipid peroxidation.Imbalance between the two exacerbates renal injury.This review systematically summarizes the signaling pathways and key regulatory factors related to autophagy and ferroptosis,as well as their interaction mechanisms[such as nuclear receptor coactivator 4(NCOA4)-mediated ferritinophagy,clock autophagy,and lipid autophagy].It further elaborates the molecular network by which these processes synergistically regulate DKD progression.Additionally,the potential of modern pharmaceuticals and active components of traditional Chinese medicine to improve kidney injury by targeting autophagy and ferroptosis is discussed,proposing that targeting their cross-talk pathways may provide novel therapeutic strategies for DKD,aiming to lay a theoretical foundation for the development of targeted intervention strategies and precision therapeutic regimens.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

This review delves into the pivotal role of necrotic apoptosis in Alzheimer's disease(AD),with a focus on treatment strategies,drug development,prospects,and challenges,highlighting its significance in the progression of the disease.Firstly,necrotic apoptosis plays a crucial role in the pathogenesis of AD,particularly in association with the abnormal metabolism of β-amyloid(Aβ)and Tau proteins.The primary focus of drug design is to regulate the metabolism pathways of these two proteins to slow down or inhibit the progression of necrotic apoptosis.Secondly,the progress in drug development further emphasizes the importance of necrotic apoptosis in treating AD.Current research mainly focuses on drugs that affect the metabolism of Aβ and Tau proteins,such as lecanemab.Still,inconsistent result underscore the necessity for a more comprehensive understanding of the molecular mechanisms of necrotic apoptosis.Finally,the prospects and challenges of necrotic apoptosis research in AD are thoroughly discussed.A deeper understanding of necrotic apoptosis contributes to a better comprehension of the pathological mechanisms of AD but also may reveal new therapeutic targets.However,challenges such as multifactorial influences and the selection of treatment timing necessitate further in-depth research in the future.In conclusion,this review advocates for future research to deepen the understanding of the molecular mechanisms of necrotic apoptosis,enhance research on treatment strategies,gain a deeper understanding of its cross-regulation with other cell death pathways,and promote collaboration between basic research and clinical practice to advance the comprehensive understanding and treatment of Alzheimer's disease and necrotic apoptosis.

Objective To explore the effectiveness of applying 3N linked care model among care-givers of leukemia patients.Methods A total of 96 caregivers of acute leukemia patients were select-ed and randomly divided into observation groupand control group using a random lottery method,with 48 caregivers in each group.The observation group received the 3N linked care model,while the con-trol group received routine care.Psychological resilience,caregiving burden,and nursing outcomes were compared between the two groups.Results After intervention,the total score on the Connor Da-vidson Resilience Scale(CD-RISC)in the observation group was higher than that in the control group[(105.23±6.24)versus(91.20±5.06),P＜0.05].After intervention,the proportion of caregiv-ers with no burden in the observation group was significantly higher than that in the control group,while the proportions of mild,moderate,and severe burdens were significantly lower(P＜0.05).The total nursing outcome score in the observation group was higher than that in the control group[(28.54±2.36)versus(21.05±1.42),P＜0.05].Conclusion The application of 3N linked care model a-mong caregivers of leukemia patients helps improve caregivers'levels of psychological resilience,re-duce their caregiving burden,and enhance nursing outcomes.

ObjectiveTo identify the active components in Maimendong decoction (MMDD) against pulmonary fibrosis (PF) and validate their molecular effects in vitro, while focusing on the role of methylophiopogonanone B in regulating fibrosis.MethodsData on MMDD components and targets were gathered from databases including BATMAN-TCM and PubMed, whereas the PF gene data were sourced from GeneCards, OMIM, and TTD. Shared targets were determined using the STRING database, and molecular docking was used to analyze the essential molecules associated with fibrosis. To simulate PF conditions, human embryonic lung fibroblasts (HPF) and A549 cells were exposed to transforming growth factor-β1 (TGF-β1). Various assays were used to determine the effects of MMDD and methylophiopogonanone B on signaling pathways, apoptosis, and epithelial–mesenchymal transition.ResultsWe identified 11 active components from MMDD extracts that targeted 511 shared proteins associated with PF, revealing 10 key targets in network analysis. Gene ontology analysis indicated that processes and pathways such as apoptosis regulation and PI3K/Akt signaling were involved. In vitro experiments revealed that MMDD downregulated the expression of α-smooth muscle actin (α-SMA), collagen type I (COL-I), and collagen type III and regulated Bcl-2/Bax signaling pathways to promote apoptosis. The flow cytometry apoptosis assay revealed that MMDD promoted the TGF-β1-induced apoptosis of myofibroblasts. The primary active ingredient in MMDD, methylophiopogonanone B, reduced α-SMA, COL-I, and PI3K/Akt/mTOR-related protein levels in TGF-β1-treated HPF cells, decreased Bcl-2 and cleaved caspase 3, and increased Bax. Moreover, methylophiopogonanone B increased E-cadherin levels and reduced α-SMA, fibronectin, N-cadherin, vimentin, and snail in TGF-β1-treated A549 cells.ConclusionMethylophiopogonanone B demonstrated the potential to treat PF by inducing myofibroblast apoptosis and inhibiting EMT. However, despite encouraging initial results, further clinical research is warranted to verify the safety and efficacy of methylophiopogonanone B in the management of PF