Objective To explore the development of new formulations new pharmaceutical cocrystal by combining hot melt extrusion and 3D printing technologies.Methods The insoluble drug ibuprofen and nicotinamide were selected as model drugs,and hot melt extrusion was applied to extrude ibuprofen-nicotinamide cocrystal by regulating the processing temperature,screw speed and residence time,etc.Hot-stage polarized light microscopy,powder X-ray diffraction,differential scanning calorimetry,Fourier transform infrared spectroscopy,and Raman spectroscopy were used for characterization analysis.The process research was carried out by investigating properties such as eutectic particle size and distribution,angle of repose,and vibrational solidity density.On this basis,two 3D printing techniques,fused deposition molding and selective laser sintering type,were selected for pharmaceutical cocrystal loaded sheet printing.Results A new formulation of pharmaceutical cocrystal tablets loaded with ibuprofen-nicotinamide was successfully printed through the combined application of hot-melt extrusion and 3D printing technologies.Conclusions Combined process of hot melt extrusion and 3D printing technology in the field of developing new pharmaceutical cocrystal formulations,laying the material foundation and scientific support for the development of new pharmaceutical cocrystal formulations with personalized and programmable release on demand.

Objective:To verify the prognostic value of perineural invasion and lymphovascular tumor embolus for patients with gastric cancer undergoing gastrectomy and postoperative chemotherapy, and establish a prognostic prediction nomogram model.Methods:According to 7∶3 radio, 781 gastric cancer patients were randomly divided into training cohort and internal validation cohort. One hundred fifty patients were utilized as the external validation cohort. Univariate and multivariate analysis were performed to evaluate the prognostic value of perineural invasion and lymphovascular tumor embolus, and construct the dynamic nomogram. The concordance index (C-index), net reclassification index and integrated discrimination improvement index, receiver operating characteristic curve, calibration curves and decision curve analysis were used to evaluate the nomogram.Results:Perineural invasion ( HR=1.486, 95% CI: 1.150-1.919, P<0.01) and lymphovascular tumor embolus ( HR=1.321, 95% CI: 1.030-1.693, P<0.05) were independent prognostic risk factors for patients with gastric cancer after gastrectomy and postoperative chemotherapy. C-index (training cohort: 0.734, internal validation cohort: 0.755, external validation cohort: 0.715), net reclassification index (training cohort: 0.228 for 3-year and 0.213 for 5-year OS prediction; internal validation cohort: 0.211 for 3-year and 0.279 for 5-year OS prediction; external validation cohort: 0.220 for 3-year and 0.440 for 5-year OS prediction) and integrated discrimination improvement index (training cohort: 0.051 for 3-year and 0.041 for 5-year OS prediction; internal validation cohort: 0.027 for 3-year and 0.036 for 5-year OS prediction; external validation cohort: 0.063 for 3-year and 0.153 for 5-year OS prediction) indicated that the nomogram performed better than the traditional TNM staging system ( P<0.05). Conclusions:Perineural invasion and lymphovascular tumor embolus are independent prognostic risk factors of gastric cancer patients after postoperative chemotherapy. The novel dynamic nomogram model based on perineural invasion and lymphovascular tumor embolus provides better assistance in evaluating prognosis of gastric cancer patients.

The unique geography,climate,and natural conditions of plateaus pose significant challenges to the physical health and combat effectiveness of stationed troops.In high-altitude regions,maladaptation can lead to acute mountain sickness,such as high-altitude pulmonary edema and high-altitude cerebral edema.Previous studies have shown that gradual acclimatization is an effective strategy for preventing and mitigating altitude sickness.Additionally,non-pharmacological strategies such as intermittent hypoxia and pre-simulated altitude training have also been proven to effectively promote altitude acclimatization.Conventional acclimatization strategies take longer time and are not conducive to rapid deployment of military personnel.In this article,we review various acclimatization training for individuals entering high-altitude areas,in order to provide a reference for the research and application of scientific and efficient altitude acclimatization training strategies.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective To explore the development of new formulations new pharmaceutical cocrystal by combining hot melt extrusion and 3D printing technologies.Methods The insoluble drug ibuprofen and nicotinamide were selected as model drugs,and hot melt extrusion was applied to extrude ibuprofen-nicotinamide cocrystal by regulating the processing temperature,screw speed and residence time,etc.Hot-stage polarized light microscopy,powder X-ray diffraction,differential scanning calorimetry,Fourier transform infrared spectroscopy,and Raman spectroscopy were used for characterization analysis.The process research was carried out by investigating properties such as eutectic particle size and distribution,angle of repose,and vibrational solidity density.On this basis,two 3D printing techniques,fused deposition molding and selective laser sintering type,were selected for pharmaceutical cocrystal loaded sheet printing.Results A new formulation of pharmaceutical cocrystal tablets loaded with ibuprofen-nicotinamide was successfully printed through the combined application of hot-melt extrusion and 3D printing technologies.Conclusions Combined process of hot melt extrusion and 3D printing technology in the field of developing new pharmaceutical cocrystal formulations,laying the material foundation and scientific support for the development of new pharmaceutical cocrystal formulations with personalized and programmable release on demand.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective:To verify the prognostic value of perineural invasion and lymphovascular tumor embolus for patients with gastric cancer undergoing gastrectomy and postoperative chemotherapy, and establish a prognostic prediction nomogram model.Methods:According to 7∶3 radio, 781 gastric cancer patients were randomly divided into training cohort and internal validation cohort. One hundred fifty patients were utilized as the external validation cohort. Univariate and multivariate analysis were performed to evaluate the prognostic value of perineural invasion and lymphovascular tumor embolus, and construct the dynamic nomogram. The concordance index (C-index), net reclassification index and integrated discrimination improvement index, receiver operating characteristic curve, calibration curves and decision curve analysis were used to evaluate the nomogram.Results:Perineural invasion ( HR=1.486, 95% CI: 1.150-1.919, P<0.01) and lymphovascular tumor embolus ( HR=1.321, 95% CI: 1.030-1.693, P<0.05) were independent prognostic risk factors for patients with gastric cancer after gastrectomy and postoperative chemotherapy. C-index (training cohort: 0.734, internal validation cohort: 0.755, external validation cohort: 0.715), net reclassification index (training cohort: 0.228 for 3-year and 0.213 for 5-year OS prediction; internal validation cohort: 0.211 for 3-year and 0.279 for 5-year OS prediction; external validation cohort: 0.220 for 3-year and 0.440 for 5-year OS prediction) and integrated discrimination improvement index (training cohort: 0.051 for 3-year and 0.041 for 5-year OS prediction; internal validation cohort: 0.027 for 3-year and 0.036 for 5-year OS prediction; external validation cohort: 0.063 for 3-year and 0.153 for 5-year OS prediction) indicated that the nomogram performed better than the traditional TNM staging system ( P<0.05). Conclusions:Perineural invasion and lymphovascular tumor embolus are independent prognostic risk factors of gastric cancer patients after postoperative chemotherapy. The novel dynamic nomogram model based on perineural invasion and lymphovascular tumor embolus provides better assistance in evaluating prognosis of gastric cancer patients.

Air embolism is a rare but dreaded complication of medical or surgical procedures with sig-nificant mortality.An abnormal air-to-blood pressure gradient and communication between the vein and atmosphere can lead to the venous air embolism.Here,we presented a rare case of venous air embolism just after the removal of the central venous catheters.A 59-year-old female was admitted to Peking Uni-versity International Hospital suffering from neuromyelitis optica spectrum disorder.After 5 rounds of im-munosorbent therapy,her hemodialysis catheter was removed.Five hours later,she suddenly experienced shortness of breath,dizziness,weakness of the lower extremities,transient loss of consciousness and sei-zures.Ultrasound showed a small amount of gas in the right internal jugular vein and brain CT showed scattered air accumulation in part of venous blood ducts and bilateral cavernous sinuses,which was diag-nosed as air embolism.High-flow oxygen inhalation,compression of the right neck extubation site,head down and feet up left decubitus position,intravenous fluid therapy were used.The patient gradually im-proved and returned to normal activities after one week.To sum up,air embolism is a rare,but serious and life-threatening complication after central catheters removal.Clinicians need to be alerted and take appropriate preventive measures.

Objective To investigate the impact and mechanism of efaproxiral (RSR13),a hemoglobin allosteric agent,on lung injury in rats caused by explosion-induced shock waves in plateau areas. Methods Eighty-two healthy male SD rats (8-week-old,transferred from an altitude of 2 880 m to 4700 m within 6 h)were randomly divided into blast injury group and RSR13+blast injury group (intraperitoneal injection of 150 mg/kg RSR132 h before explosion).Sixty rats were positioned at 5 m from the explosion source and divided into 5-m blast injury group (n=30)and 5-m RSR13+blast injury group (n=30). Additionally,16 rats were positioned at 6 m from the explosion source and then assigned into 6-m blast injury group (n=8)and 6-m RSR13+blast injury group (n=8).The left 6 rats served as control (n=6).Survival outcomes of each rat group positioned 5 m from the explosion source were observed over a 24-hour period.HE staining was used to evaluate the pathological score of the surviving rats positioned at 6 m from the explosion source in 24 h after explosion,along with arterial blood gas analysis.The contents of glutathione (GSH),malondialdehyde (MDA ) and superoxide dismutase (SOD ) in the lung tissues were determined by colorimetry.Western blotting was conducted to measure the expression levels of cleaved caspase-3 and occludin in the lung tissue.Results RSR13 pretreatment increased the survival rate immediately after explosion (93.3％ vs 46.7％,P<0.01 )and at 1 h after explosion (86.7％ vs 46.7％,P<0.01 )in plateau areas of 5 m from the explosion source.At high altitude,RSR13 pretreatment reduced the pathological score of lung injury in rats 6 m away from the explosion source (8.27±0.93 vs 13.70±0.78,P<0.01 ),but had no significant effect on the results of arterial blood gas analysis in rats with lung blast injury (P>0.05 ).In addition,RSR13 pretreatment also increased GSH content (40.27±12.47 vs 22.62±10.88 μg/g,P<0.05),but showed no obvious effect on MDA content and SOD activity (P>0.05 ),decreased the protein level of cleaved caspase-3 (P<0.01 )and increased that of occludin (P<0.05 )in the lung tissues.Conclusion RSR13 exerts significant protective effect on lung injury in rats caused by explosion-induced shock waves in high-altitude environment,which may be related to its increasing antioxidant capacity,reducing cell apoptosis and decreasing barrier permeability of lung ventilation.

Objective:This study aimed to explore the status of radiological Kashin-Beck disease (KBD) among school-aged children in Chamdo City, Tibet, through a 3-year monitoring survey, providing epidemiological evidence for prevention and control strategies.Methods:The target areas for this study were Luolong, Bianba, and Basu counties in Chamdo City, Tibet Autonomous Region, identified as having the most severe historical cases of KBD. Children aged 7-12 years attending school were enrolled as study subjects. Anteroposterior X-ray films of the right-hand were taken, and radiological diagnoses were made based on the "Diagnosis of Kashin-Beck Disease" criteria (WS/T 207-2010). Two experienced researchers independently reviewed the X-rays, and intra- and inter-group consistency were assessed using weighted Kappa values and percentage agreement. Cross-sectional surveys were conducted in 2017 and 2020 to describe the X-ray detection rates of KBD, and logistic regression analysis was employed to construct a predictive model of risk factors for radiological KBD cases.Results:In 2017, a total of 5,711 children aged 7-12 years in Chamdo City, Tibet, participated in the baseline cross-sectional survey (average age 9.2 years, 48.0% female), with 28 cases of radiological KBD. The age- and gender-standardized prevalence rate was 0.527%. In 2020, 6,771 participants (average age 9.3 years, 49.5% female) underwent a second cross-sectional survey, with 9 cases of radiological KBD and a standardized prevalence rate of 0.134%. Logistic regression analysis indicated that older age [ OR=2.439, 95% CI(1.299, 4.580), P=0.006] and female gender [ OR=8.157, 95% CI(1.016, 65.528), P=0.048] were independent risk factors for radiological KBD cases. Conversely, higher residential altitude, under the premise of Tibet's high altitude, was a protective factor [ OR=0.995, 95% CI(0.990, 0.999), P=0.032). Conclusion:The radiographically positive detection rate of KBD among school-aged children in Chamdo City, Tibet Autonomous Region, is at an extremely low level and showing a declining trend, reaching the historical standard in 2020. Considering the absence of positive signs in affected children, it suggests that local KBD has been effectively eliminated.