Vacuum compression molding (VCM) is a novel technology supporting the research and development of pharmaceutical solid dispersions. It is widely applied due to its precision and convenience in sample preparation. This technology integrates the principles of heating, melting, cooling, and vacuum compression to transform solid powders into shaped solids directly. By selecting different molds, temperatures, and pressures, researchers can prepare samples with diverse characteristics. This paper presents an overview of the equipment composition and working principles of VCM technology, demonstrating its distinct advantages in the formulation screening process of amorphous solid dispersions through comparative analysis with hot melt extrusion using case studies, and introduces its applications in the development of drug delivery systems and rheological characterization analysis, with a perspective on the future development of its functions.

Objective:To evaluate the utility of ultrasonographic monitoring of the rectus femoris muscle—specifically, the rates of change in thickness and cross-sectional area (CSA)—in assessing nutritional status and long-term functional outcomes in patients with sepsis.Methods:In this prospective observational study, sepsis patients admitted to the ICU of the Second Affiliated Hospital of Soochow University between October 2023 and October 2024 were classified by nutritional status at discharge using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Differences in serial ultrasound-measured rectus femoris thickness and CSA on days 1, 3, 5, and 7 were compared between malnourished and non-malnourished groups. The predictive value of these ultrasound parameters for malnutrition was analyzed. Functional prognosis was assessed using the Sarcopenia Assessment Scale, Short Physical Performance Battery, and Manual Muscle Testing, with correlations to muscle changes examined.Results:Of the 71 enrolled patients (median age 73.00 [ IQR: 61.00–80.00]; 47.89% female, 52.11% male), those with malnutrition showed significantly greater variation rates in rectus femoris thickness and CSA on days 3, 5, and 7 compared to the non-malnourished group ( P < 0.05). ROC analysis revealed that the day-7 CSA variation rate had the highest predictive value for malnutrition (AUC = 0.817, 95% CI: 0.713-0.930). These muscle variation rates also correlated strongly with conventional nutritional markers such as BMI, albumin, and urea. Similarly, patients with impaired functional outcomes exhibited higher variation rates in muscle parameters on days 3, 5, and 7 ( P < 0.05), with the day-7 CSA variation rate being most predictive of functional prognosis (AUC = 0.749, 95% CI: 0.632-0.867). Conclusions:Ultrasonographic assessment of rectus femoris thickness and CSA variation rates provides a valuable tool for evaluating nutritional status and predicting functional prognosis in sepsis patients, outperforming traditional biomarkers. This method shows promise for guiding individualized nutrition support and rehabilitation strategies to improve long-term outcomes.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To evaluate the development of fetal cerebral sulci and gyrus and the blood perfusion in pregnant women with gestational diabetes mellitus(GDM) by ultrasound.Methods:A total of 1 540 pregnant women with 28-34 weeks of pregnancy who underwent systematic screening in Henan Provincial People′s Hospital from January 2022 to October 2022 were prospectively selected, 100 pregnant women with GDM were selected as the GDM group. According to the effect of blood glucose control, the GDM group was divided into 2 groups: the satisfied control group (GDM group 1), and the dissatisfied control group (GDM group 2), with 50 cases in each group. At the same period, 50 healthy pregnant women at 28-34 weeks of gestation were enrolled as the control group. The differences of the sylvian fissure, parietooccipital sulci, calcarine sulci and cinguli sulci among the 3 groups were statistically analyzed. And the correlations between the deep of the brain cerebral sulci and gyrus and controlled blood glucose levels were evaluated. The umbilical artery pulsation index(UAPI), middle cerebral artery pulsation index(MCAPI) and ductus venosus pulsation index(DVPI) among the 3 groups were compared, and the differences in fetal blood perfusion among the 3 groups were evaluated.Results:There were no significant differences in the depths of the sylvian fissure, parietooccipital sulci, calcarine sulci and cinguli sulci between the control group and the GDM group 1 (all P>0.05), and they were larger than those of the GDM group 2 (all P<0.05). The depths of lateral fissure, parieto-occipital sulcus, cingulate sulcus and calcarine sulcus were negatively correlated with fasting blood glucose, 1 h and 2 h postprandial blood glucose (all P<0.05). There were no significant differences in MCAPI, UAPI and DVPI between the control group and GDM1 group (all P>0.05). The MCAPI in GDM 2 group was lower than that in the control group and GDM 1 group, and the UAPI and DVPI values were higher than those in the control group and GDM1 group(all P<0.05). Conclusions:The maturity of fetal cerebral sulci and gyrus in GDM pregnant women is related to the blood glucose control of pregnant women. The change of blood perfusion caused by persistent hyperglycemia in pregnant women and intrauterine hypoxia may cause the development retardation of cerebral sulci and gyrus.

Abstract: It is well-known that crystal form of a drug is a key factor impacting the physicochemical properties of the drug, which in turn affects its in vivo efficacy, safety and stability. The study on crystal forms of solid-state drugs is crucial for drug quality control, selection of production process and evaluation of clinical efficacy. The combination of chemometric and analytical techniques exhibited its great ability to analyze a large amount of multidimensional data, providing the possibility for quantification of trace amount of crystals (< 1%). Meanwhile, using the process analytical technology (PAT) to monitor the crystal content real-time during prescription preparation process can further realize the control on formulation quality and serve as a core technology to support the patent protection of crystalline forms. In this review, the combined application of crystal analytical techniques and chemometric methods for the quantitative analysis of trace crystals were summarized, aiming to provide guidance for the manufacturing of pharmaceutical preparations and their quality control.

Pharmaceutical excipients, as an indispensable part of drug preparation, play crucial roles as drug carriers, improving drug release, ensuring drug stability, and enhancing patient compliance. Traditional Chinese Medicine (TCM) boasts a rich developmental history. With the modernization of technology, the deep integration of pharmacy, chemistry, and materials science has provided broader opportunities for innovative research in TCM. Simultaneously, the demand for high-quality excipients has become increasingly critical.This paper aims to review current research and applications of excipients in TCM preparations, including pre-mixed and co-processed excipients, modified excipients, and the unification of drugs and excipients, such as flavoring agents, fillers, penetration enhancers, and delivery systems. A meticulous synthesis and analysis of existing research aims to provide a reference for selecting excipients in TCM preparations, stimulate innovation in excipient development for TCM, and advocate for the development of personalized excipients.

Taking the Ligustrum lucidum extract as an example, this study investigated the influence of external mechanical forces under different processing conditions on the crystallographic solid form and the key parameter of drug dissolution rate, so as to provide guidance for the preparation and quality control of traditional Chinese medicine preparations. Under different pulverization and tableting conditions, the change of crystallographic solid form of L. lucidum extract was observed by polarizing light microscope. Meanwhile, the effect of this change on the dissolution rate was investigated, and the mathematical relationship between crystal content and dissolution rate was analyzed. The results showed that the process of ball milling and tableting had a significant impact on the crystallographic solid form of L. lucidum extract. The amorphous extract displayed crystal transformation, which induced a significant decline in dissolution rate. Further studies revealed that there was a negative linear relationship between crystal content and dissolution rate. The results of this study indicated that the crystallographic solid form transformation of traditional Chinese medicine extracts might occur during the preparation process, which may cause potential risks to the quality of traditional Chinese medicine preparations. It is suggested that we should pay attention to and strengthen the investigation of the crystallographic solid form during the preparation process, so as to guarantee the safety, effectiveness, and quality controllability of traditional Chinese medicine preparations.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

In November 2023, the seventh National Nucleic Acid Vaccine Conference was held to deeply discuss the immune mechanism, safety risks, advantages, and disadvantages of nucleic acid vaccines, and review the safety and effectiveness of COVID-19 vaccines developed by nucleic acid vaccine technology. Some prospectives were formed in the meeting that in the post-pandemic era, nucleic acid vaccine technology will play a role in the following areas: dealing with pathogens that are difficult to be prevented by traditional vaccines, promoting the upgrading of traditional live attenuated vaccines, contributing to the development of multivalent and combined vaccines, and rapid response to emerging and re-emerging infectious diseases. These views point out the direction for the future development of nucleic acid vaccine technology.