Heatstroke,especially in high-temperature and high-humidity environments,is a life-threatening acute heat-injury disease that seriously endangers human health.Timely and effective on-site treatment is crucial for patients'survival and prognosis.Early recognition,rapid assessment,and on-site cooling are the core of pre-hospital treatment of heatstroke.Currently,there is a lack of standardized application procedures for pre-hospital emergency care of heatstroke.Therefore,the"Expert Consensus on Pre-hospital Emergency Management of Heatstroke(2024 edition)"was initiated by the Expert Group on Heatstroke Prevention of the People's Liberation Army and developed in collaboration with experts from local pre-hospital emergency care,emergency departments,and intensive care units.This consensus focuses on heatstroke prevention,on-site and ambulance-based treatment,and early emergency room interventions,and puts forward 10 evidence-based recommendations,aiming to provide a reference for scientific and standardized pre-hospital emergency care of heatstroke.

Objective To develop an objective and precise prognostic model for assessing severity and prognosis in elderly patients with community-acquired pneumonia(CAP)admitted to the emergency department.Methods A retrospective analysis was conducted on elderly patients with CAP admitted to Department of Emergency,Minhang Hospital,Fudan University between Jun 2018 and Dec 2020.With the primary outcome being the 30-day in-hospital mortality rate of elderly CAP patients,four systemic inflammatory response markers,including the neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammation index(SII)were evaluated using univariate and multivariate Logistic regression analyses.The predictive performance of different scoring systems was compared.Results A total of 421 elderly CAP cases were enrolled.The results of the multivariate Logistic regression analysis demonstrated that NLR was an independent risk factor for elderly inpatients with CAP.We combined NLR with the existing CURB-65 score for joint optimization to construct a scoring system or a clinical prognosis model,by quantifying and assigning optimal cut-off value of 11.4 for NLR,and established the NLR+CURB-65 score.The ROC curve was constructed to compare the areas under the curve of the three different scoring systems(NLR,CURB-65,and NLR+CURB-65).The area under the curve of the NLR+CURB-65 score was significantly higher than that of the CURB-65 score.Based on the optimal cut-off value of 3 for NLR+CURB-65 score,the patients were stratified into high-risk group(n=188)and low-risk group(n=233).The K-M survival curve was utilized and indicated that compared with high-risk group,low-risk group had a lower mortality rate and a higher discharge rate.Conclusion For elderly emergency hospitalized patients with CAP,the combination of NLR and CURB-65 score showed high predictive value for assessing disease severity and prognosis.

Objective To develop an objective and precise prognostic model for assessing severity and prognosis in elderly patients with community-acquired pneumonia(CAP)admitted to the emergency department.Methods A retrospective analysis was conducted on elderly patients with CAP admitted to Department of Emergency,Minhang Hospital,Fudan University between Jun 2018 and Dec 2020.With the primary outcome being the 30-day in-hospital mortality rate of elderly CAP patients,four systemic inflammatory response markers,including the neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammation index(SII)were evaluated using univariate and multivariate Logistic regression analyses.The predictive performance of different scoring systems was compared.Results A total of 421 elderly CAP cases were enrolled.The results of the multivariate Logistic regression analysis demonstrated that NLR was an independent risk factor for elderly inpatients with CAP.We combined NLR with the existing CURB-65 score for joint optimization to construct a scoring system or a clinical prognosis model,by quantifying and assigning optimal cut-off value of 11.4 for NLR,and established the NLR+CURB-65 score.The ROC curve was constructed to compare the areas under the curve of the three different scoring systems(NLR,CURB-65,and NLR+CURB-65).The area under the curve of the NLR+CURB-65 score was significantly higher than that of the CURB-65 score.Based on the optimal cut-off value of 3 for NLR+CURB-65 score,the patients were stratified into high-risk group(n=188)and low-risk group(n=233).The K-M survival curve was utilized and indicated that compared with high-risk group,low-risk group had a lower mortality rate and a higher discharge rate.Conclusion For elderly emergency hospitalized patients with CAP,the combination of NLR and CURB-65 score showed high predictive value for assessing disease severity and prognosis.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

AIM To investigate the variations in mercury dissolution from HgS-containing traditional medicines in three kinds of simulated gastrointestinal dissolution media.METHODS 39 batches of 15 types of HgS-containing traditional medicines were collected,total mercury content and dissolved mercury concentrations in simulated gastric fluid,simulated intestinal fluid,and L-cysteine-containing simulated intestinal fluid were measured.The maximum daily intake of total mercury and soluble mercury was calculated based on the maximum daily clinical dosage.RESULTS Among the 15 types of medicines,the maximum daily intake of total mercury varied by 156 times,the daily intake of soluble mercury varied by 3 502 times in simulated gastric fluid,313 times in simulated intestinal fluid,and 10 663 times in L-cysteine-containing simulated intestinal fluid,approximately.CONCLUSION For the 15 types of HgS-containing traditional medicines,the daily maximum intake of soluble mercury showed greater variations than that of total mercury.Soluble mercury concentration is more closely correlated with intestinal absorption of mercury and thus represents a more rational quality control indicator for HgS-containing traditional medicines.

Glioblastoma multiforme(GBM)is the most common primary malignant brain tumor of the central nervous system in adults,with a median survival of less than 15 months.The tumor microenvironment(TME)of GBM includes extracellular matrix and a variety of immune cells,including tumor-associated macrophages,microglia and myeloid-derived suppressor cells.The interaction between these cells and tumor cells plays a key role in the occurrence and development of GBM.The heterogeneity of GBM microenvironment is one of the main reasons for the poor efficacy of many therapies.Therefore,understanding the interaction between GBM and its tumor microenvironment is helpful to explore new targeted therapeutic strategies,which is expected to provide better treatment options for patients,thereby improving patient prognosis.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

Objective: To summarize the treatment methods and efficacy of a patient with pure red cell aplasia (PRCA) after allogeneic hematopoietic stem cell transplantation (allo-HSCT), and to accumulate relevant case data. Methods: The clinical treatment and laboratory test data of a patient with PRCA after allo-HSCT in our hospital were retrospectively collected. The therapeutic strategy, monitoring parameters, and treatment outcomes were summarized. Results: Upon suspicion of post-transplant PRCA, the patient was promptly treated with intravenous injection of human immunoglobulin and three sessions of plasma exchange. The titer of blood group antibodies in the patient decreased, and the hemolytic symptoms were relieved. Over one year post-transplantation, the patient exhibited a sustained impairment of erythropoiesis, necessitating continued red blood cell transfusions. After treatment with intravenous daratumumab (400 mg twice weekly for 4 weeks), the pateint's hemoglobin (Hb) and reticulocyte (Ret) levels normalized rapidly, the ABO blood type converted from the recipient to the donor type, and the titer of IgM blood group antibodies returned to normal. The patient was successfully weaned off red blood cell transfusions, indicating the clinical efficacy of the treatment. Conclusion: Daratumumab shows effectiveness in the treatment of refractory PRCA after allo-HSCT in the case. It is essential to monitor Hb, Ret and the titer of blood group antibodies during treatment. Nevertheless, the interference of daratumumab with the titer of blood group antibodies should be considered.

In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*