Objective To explore the safety and feasibility of 5G remote robot-assisted thoracoscopic anatomic lobectomy and segmentectomy. Methods A retrospective analysis was conducted on patients who underwent 5G remote robot-assisted thoracoscopic anatomic lobectomy or segmentectomy between July and September 2024. The surgeries were performed collaboratively by Shanghai Chest Hospital, Affiliated Hospital of Yangzhou University, and The First Affiliated Hospital of Nanchang University. Perioperative outcomes were recorded and analyzed. Results Ten patients were included, comprising 4 anatomic lobectomies and 6 segmentectomies. The median age was 61.0 (56.0, 72.0) years. The median intraoperative bi-directional network latency was 52.5 (39.0, 54.0) ms. There were no instances of network interruption, robot-related adverse events, or conversions to open thoracotomy. The median postoperative chest tube drainage volume was 500.0 (375.0, 600.0) mL, and the median hospital stay was 5.5 (4.0, 6.0) days. No complications of Clavien-Dindo grade Ⅱor higher occurred. All patients were recurrence-free and alive during the 6-month postoperative follow-up period. Conclusion 5G remote robot-assisted thoracoscopic surgery demonstrates high safety and operational stability. This technology shows promising potential for clinical application and is worthy of further development and utilization.

Objective: To present the plotting of trend analysis charts and the application of multi-rule trend analysis method for monitoring the quality of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells. Methods: Samples of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells were collected in accordance with relevant protocols and requirements. The results of blood quality testing were compiled. The trend line charts were plotted for the deviation rates of volume, hemoglobin (Hb) content, supernatant protein content, and leukocyte residual count. In addition, the trend line chart were plotted for hematocrit and post-storage hemolysis rate. Results: The trend analysis rules for the deviation rate of volume from the standard were: 1 categorized as out-of-control, (3 of 4) as warning, R as warning, 8 as alert, and 12 as alert. For Hb content deviation rate, the rules were: <0% categorized as out-of-control; <20% but ≥0% (for whole blood) or <10% but ≥0% (for washed red blood cells and leukocyte-depleted suspended red blood cells) as a warning. For supernatant protein content deviation rate, the rules were: ≥0.0% as out-of-control, and >-10% but <0.0% as a warning. For hematocrit, the rules were: 1 as out-of-control and (3 of 4) as warning. For leukocyte residual count deviation rate, the rules were: >0.0% as out-of-control, and >-10% but ≤0.0% as a warning. For post-storage hemolysis rate, the rule was: ≥0.8% out-of-control. Conclusion: The application of multi-rule trend analysis facilitates the timely identification of trend abnormalities and factors causing deviations in the collection and preparation processes of whole blood, washed red blood cells, and leukocyte-depleted suspended red blood cells, thereby providing reliable numerical evidence for their correction and adjustment.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

AIM:To compare the consistency of macular microvascular parameters measured by three devices: frequency-domain optical coherence tomography angiography(FD-OCTA)with split-spectrum amplitude-decorrelation angiography(SSADA), FD-OCTA with optical microangiography(OMAG), and swept-source OCTA(SS-OCTA), in patients with long-term hydroxychloroquine(HCQ)administration for rheumatoid arthritis(RA).METHODS:This prospective study enrolled patients treated with HCQ for 5 y due to RA who visited the Department of Ophthalmology of the hospital from January 2022 to November 2025. All subjects underwent a 6 mm×6 mm macular scan with three OCTA devices in random order, with a 5-minute interval between examinations by different devices. Images of the superficial capillary plexus(SCP)and deep capillary plexus(DCP)were acquired. The following microvascular parameters were compared: foveal superficial capillary plexus vessel density(F-SCP VD), parafoveal superficial capillary plexus vessel density(PF-SCP VD), foveal deep capillary plexus vessel density(F-DCP VD), parafoveal deep capillary plexus vessel density(PF-DCP VD), and the area of the foveal avascular zone(FAZ).RESULTS:A total of 34 female patients(68 eyes)treated with HCQ for 5 y due to RA were enrolled in this study, aged 38-58 y with a mean age of 49.3±5.05 y. Statistically significant differences were found in F-SCP VD, PF-SCP VD, F-DCP VD, PF-DCP VD, and FAZ area among measurements obtained by SS-OCTA, SSADA-based FD-OCTA, and OMAG-based FD-OCTA(all P<0.05). No statistically significant differences in all above parameters were observed between SSADA-based FD-OCTA and OMAG-based FD-OCTA(all P>0.05). FAZ areas measured by the three devices were highly positively correlated(|r|≥0.8, P<0.01). The F-SCP VD, PF-SCP VD, F-DCP VD, and PF-DCP VD values obtained by SSADA-based FD-OCTA and OMAG-based FD-OCTA were all highly positively correlated(|r|≥0.8, P<0.01). The PF-SCP VD and PF-DCP VD values measured by SS-OCTA versus SSADA-based FD-OCTA and OMAG-based FD-OCTA showed moderate positive correlations(0.5≤|r|<0.8, P<0.01). The F-SCP VD and F-DCP VD values measured by SS-OCTA versus SSADA-based FD-OCTA and OMAG-based FD-OCTA exhibited low positive correlations(0.3≤|r|<0.5, P<0.05). Bland-Altman plots demonstrated good agreement between SSADA-based FD-OCTA and OMAG-based FD-OCTA for the measurements of F-SCP VD, PF-SCP VD, F-DCP VD and PF-DCP VD. By contrast, poor agreement was observed when comparing SS-OCTA with SSADA-based FD-OCTA or OMAG-based FD-OCTA for measurements of F-SCP VD, PF-SCP VD, F-DCP VD and PF-DCP VD.Satisfactory agreement was found among the three OCTA devices for FAZ area measurements.CONCLUSION:SSADA-based FD-OCTA and OMAG-based FD-OCTA show favorable correlation and agreement in measuring macular vessel density of patients receiving HCQ, which allows cautious interchangeable use during clinical follow-up. The vessel density parameters measured by SS-OCTA were markedly different from those obtained by SSADA-based FD-OCTA and OMAG-based FD-OCTA; therefore, these devices cannot be directly interchanged.FAZ area measurements exhibit favorable inter-device agreement among the three systems, and interchangeability should be considered in the context of clinical practice.

OBJECTIVE To provide a reference for clinical pharmacists to participate in the treatment of rare and complex cases of CTLA-4 haploid deficiency combined with severe malnutrition. METHODS The clinical pharmacist participated in the diagnosis and treatment of a complex case of CTLA-4 haploid deficiency with severe malnutrition， type 1 diabetes， blood coagulation abnormalities with gastrointestinal bleeding and virus infection， assisted the doctor to develop an individualized parenteral nutrition program， and dynamically adjusted the ratio of glucose and insulin （from 3.9∶1 to 15.6∶1）. When patient had severe coagulation abnormalities and gastrointestinal bleeding， the clinical pharmacist recommended discontinuing fat emulsion and switching to glucose amino acid dual energy supply； when the patient had a high fever accompanied by a sudden drop in platelets， the clinical pharmacist recommended to improve the second-generation sequencing of plasma metagenomics. Based on positive results for both EB virus and cytomegalovirus， the clinical pharmacist recommended to discontinue meropenem and switch to ganciclovir for antiviral treatment； when the patient experienced systemic itching and mental excitement， the clinical pharmacist quickly diagnosed as an adverse reaction of ganciclovir and recommended to switch to acyclovir for antiviral treatment. The clinical pharmacist simultaneously carried out parenteral nutrition medication education， and standardized infusion speed， and continuously monitored bleeding-related indicators. RESULTS The physician adopted the advice of the clinical pharmacist. After comprehensive intervention， the patient’s body temperature returned to normal， gastrointestinal bleeding stopped， coagulation indicators significantly improved， blood sugar control reached the standard， and the condition improved and the patient was discharged. CONCLUSIONS Clinical pharmacists rely on comprehensive pharmaceutical services to balance the benefits and risks of treatment for rare and complex cases. They play a key role in individualized nutrition planning， refined blood glucose control， infection identification and anti-infection optimization， and identification and treatment of adverse drug reactions to ensure patient medication safety and efficacy.

Objective To investigate the perioperative management of antithrombotic drugs in patients undergoing non-cardiac surgery.Methods Patients on long-term antithrombotic drugs who underwent non-cardiac surgery in our hospital were included.Through interviews with patients and physicians,perioperative antithrombotic medication regimens were reviewed and compared with the"Multidisciplinary Expert Consensus on Perioperative Management of Antithrombotic Therapy"to evaluate compliance with consensus and analyze influencing factors.Results A total of 372 patients were included in the analysis.Among them,355 patients were on long-term antiplatelet therapy alone,and 17 were on long-term oral anticoagulantion.364(97.8％)discontinued antithrombotic medications prior to surgery.109 patients(29.3％)received low molecular weight heparin(LMWH)bridging therapy.Among the 355 patients on antiplatelet therapy,108(30.4％)had discontinuation durations consistent with the consensus recommendations,while 186(52.4％)discontinued medications for longer periods.Postoperatively,the average hospital stay for antiplatelet therapy patients was 6.64 days,with only 37(10.4％)resuming therapy during hospitalization.The average hospital stay for patients on anticoagulants was 9.94 days,with only 2(11.8％)resuming therapy during hospitalization.Regarding perioperative risk assessment,only 40(10.8％)of patients underwent additional internal medical evaluation for thromboembolic risk after medication discontinuation,with the remainder assessed soly by surgeons.Coronary heart disease was an independent risk factor associated with internal medical evaluation(OR 2.851,95％CI 1.160-7.011,P=0.022).For bleeding risk assessment,surgeons evaluations aligned with the consensus in 68.0％of cases,but surgeons tended to underestimate risk compared to the consensus.Conclusions In this single-center study,perioperative antithrombotic management showed low compliance with expert consensus,characterized by prolonged preoperative medication discontinuation,high rates of LMWH bridging,and low postoperative in-hospital resumption of therapy.A robust multidisciplinary collaboration system should be established to enhance comprehensive patient assessment.

Objective To explore the predictive value of albumin,hemoglobin and multifactorial model for poor postoperative prognosis in elderly patients with meningioma.Methods A retrospective analysis was conducted on 253 elderly patients who underwent meningioma surgery and were transferred to the neurosurgical intensive care unit(NICU)at General Hospital of Northern Theater Command from January 2019 to September 2021,serving as the modeling cohort.Another 227 elderly patients who were treated in NICU after meningioma surgery from November 2021 to June 2023 were used as the validation cohort.Patients in the modeling cohort were categorized into good prognosis group[Glasgow Coma Scale(GCS)score>7,n=161]and poor prognosis group(GCS≤7,n=92)based on the GCS.Univariate and multifactorial logistic regression analyses were performed on the modeling cohort to identify independent risk factors,and a multifactorial model for predicting poor postoperative prognosis in elderly patients with meningioma was constructed based on these factors.The predictive efficacy and accuracy of the model were evaluated using the area under the receiver operating characteristic(ROC)curve(AUC),sensitivity,specificity,Hosmer-Lemeshow goodness-of-fit test,and calibration curves.The predictive value of postoperative albumin,hemoglobin,and the multifactorial models for postoperative prognosis in elderly meningioma patients was assessed using restricted cubic spline modeling(RCS),decision curves(DCA),and validated using an external validation cohort to assess the stability of the model.Results Meningioma WHO grade Ⅱand Ⅲ(OR=3.994,95％CI 1.963-8.126),postoperative hypoalbuminemia(OR=2.194,95％CI 1.079-4.462),and postoperative anemia(OR=2.117,95％CI 1.096-4.089)were identified as independent risk factors for poor postoperative prognosis in elderly meningioma patients(P<0.05),while the use of analgesic/sedative medications was a protective factor(OR=0.388,95％CI 0.201-0.748,P<0.05).The Hosmer-Lemeshow test indicated that the constructed multifactorial model had a good fit accuracy(P=0.161).The AUC for predicting poor postoperative prognosis in elderly meningioma patients for postoperative albumin and hemoglobin were 0.545(95％CI 0.472-0.617)and 0.632(95％CI 0.561-0.702),respectively,and showed a nonlinear dose-response relationship with prognosis(P<0.01).DCA analysis results showed that the net benefit rate of multifactorial model was higher than that of postoperative albumin and hemoglobin when the threshold probabilities were between 0.10 and 0.90.The AUC for predicting postoperative prognosis in the elderly meningioma patients in the modeling and validation cohorts were 0.810 and 0.819,respectively,and their calibration curves suggested good discrimination and accuracy.Conclusions Meningioma WHO grades Ⅱ and Ⅲ,postoperative anemia and hypoalbuminemia are independent risk factors for poor postoperative prognosis in elderly meningioma patients,while the use of analgesic/sedative drugs is a protective factor.The multifactorial model constructed based on these factors has a good predictive efficacy and credibility,and can be used as a reference for clinical decision-making.

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

Palmitoylation, an essential covalent attachment of a fatty acid (usually C16 palmitate) to cysteine residues within proteins, is crucial for regulating protein functionality and enzymatic activities. This lipid modification facilitates the anchoring of proteins to cellular membranes, dictating their subcellular distribution and influencing protein transport dynamics and intracellular positioning. Additionally, it plays a role in regulating protein degradation through the ubiquitin-proteasome system. Palmitoylation is implicated in the pathogenesis and progression of cardiovascular diseases by modulating substrates and prompting additional post-translational modifications, as well as by interacting with other molecular alterations. Moreover, an intervention strategy focusing on palmitoylation processes is anticipated to offer novel therapeutic avenues for cardiovascular pathologies and address extant challenges in clinical settings. This review consolidates current research on the role and importance of palmitoylation in cardiovascular diseases by exploring its regulatory functions, the catalyzing enzymes, and the involved substrates. It highlights recent discoveries connecting palmitoylation-targeted therapies to cardiovascular health and examines potential approaches and future challenges in cardiovascular treatment.