Chronic urticaria （CU） is a common skin disease worldwide， and its incidence is increasing year by year in various regions. Clinical manifestations such as severe itching can affect normal work， sleep， and daily life and increase the negative psychological burden caused by stress， anxiety， and depression. Mast cell activation and degranulation induced by immunoglobulin（Ig）E hypersensitivity is one of the core pathogenic mechanisms of CU， and there is no cure. Antihistamines such as cetirizine and loratadine are preferred for the clinical treatment of CU. Although they can effectively improve clinical manifestations such as itchiness， long-term application can increase the risk of adverse reactions and drug resistance. The phosphatidylinositol kinase/serine-threonine protein kinase B（PI3K/Akt） signaling pathway， as a classical signaling pathway regulated by phosphatidylinositol and tyrosine kinase receptor （RTK）， is a key target regulating the production and release of cytokines in macrophages and affecting the migration of leukocytes and the activation of mast cells and inflammation， and it can be involved in a variety of metabolic processes， such as mast cell activation and degranulation induced by IgE hypersensitivity and abnormal activation of the complement system so that the PI3K/Akt molecular pathway could be an important target for the future eradication of CU. However， the mechanism and potential role of the PI3K/Akt signaling pathway in the treatment of CU are less reported in China. Now， this paper reviewed the molecular mechanism of PI3K/Akt signaling pathway regulation in the treatment of CU and provided corroborative evidence and therapeutic strategy choices for the treatment of CU with traditional Chinese medicine （TCM） from the perspectives of molecular regulation and network pharmacology analysis.

Objective:To analyze the clinical characteristics and prognosis of patients with infant acute lymphoblastic leukemia (IALL).Methods:A retrospective cohort study.Clinical data, treatment and prognosis of 28 cases of IALL who have been treated at Beijing Children′s Hospital, Capital Medical University and Baoding Children′s Hospital from October 2013 to May 2023 were analyzed retrospectively. Based on the results of fluorescence in situ hybridization (FISH), all patients were divided into KMT2A gene rearrangement (KMT2A-R) positive group and KMT2A-R negative group. The prognosis of two groups were compared. Kaplan-Meier method and Log-Rank test were used to analyze the survival of the patients.Results:Among 28 cases of IALL, there were 10 males and 18 females, with the onset age of 10.9 (9.4,11.8) months. In terms of immune classification, 25 cases were B-ALL (89%), while the remaining 3 cases were T-ALL (11%). Most infant B-ALL showed pro-B lymphocyte phenotype (16/25,64%). A total of 22 cases (79%) obtained chromosome karyotype results, of which 7 were normal karyotypes, no complex karyotypes and 15 were abnormal karyotypes were found. Among abnormal karyotypes, there were 4 cases of t (9; 11), 2 cases of t (4; 11), 2 cases of t (11; 19), 1 case of t (1; 11) and 6 cases of other abnormal karyotypes. A total of 19 cases (68%) were positive for KMT2A-R detected by FISH. The KMT2A fusion gene was detected by real-time PCR in 16 cases (57%). A total of 24 patients completed standardized induction chemotherapy and were able to undergo efficacy evaluation, 23 cases (96%) achieved complete remission through induction chemotherapy, 4 cases (17%) died of relapse. The 5-year event free survival rate (EFS) was (46±13)%, and the 5-year overall survival rate (OS) was (73±10)%.The survival time was 31.3 (3.3, 62.5) months. There was no significant statistical difference in 5-year EFS ((46±14)% vs. (61±18)%) and 5-year OS ((64±13)% vs. (86±13)%) between the KMT2A-R positive group (15 cases) and the KMT2A-R negative group (9 cases) ( χ2=1.88, 1.47, P=0.170, 0.224). Conclusions:Most IALL patients were accompanied by KMT2A-R. They had poor tolerance to traditional chemotherapy, the relapse rate during treatment was high and the prognosis was poor.

Hepatocellular carcinoma （HCC） is a common tumor in the digestive tract， the formation mechanism of which remains to be fully elucidated. Although surgery， radiation， chemotherapy， targeted therapy， and immunotherapy have achieved significant results in the treatment of HCC， these methods are accompanied by a considerable number of adverse reactions and complications. In recent years， Chinese medicine has shown remarkable efficacy in the treatment of HCC， and both basic experiments and clinical studies have confirmed the effectiveness of Chinese medicine， which exerts therapeutic effects via multiple components and multiple targets. However， the pathogenesis of HCC is exceptionally complex and not fully understood， which means that studies remain to be carried out regarding the specific mechanism of Chinese medicine in preventing and treating HCC. Network pharmacology and molecular biology can be employed to decipher the mechanism of Chinese medicine in the treatment of diseases. Studies have shown that Chinese medicine can regulate various pathways such as the mitogen-activated protein kinase （MAPK）， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt）， Hedgehog， Wnt/β-catenin， nuclear factor-κB （NF-κB）， Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3）， and transforming growth factor-β （TGF-β）/Smad signaling pathways. Chinese medicine can exhibit its anti-HCC effects by inducing cell apoptosis， inhibiting cell proliferation and migration， and blocking the cell cycle via the above pathways. However， the specific mechanisms remain to be systematically studied. This study comprehensively reviews the regulatory effects of Chinese medicine on HCC-related signaling pathways to reveal the molecular mechanisms of Chinese medicine in the treatment of HCC. This view holds the promise of providing new targets， new perspectives， and new therapies for HCC treatment and advancing the modernization and development of Chinese medicine.

Objective:To investigate the risk factors associated with one-year mortality following surgery for intertrochanteric fractures in elderly patients and develop a survival prediction model.Methods:A retrospective analysis was conducted on clinical data from 532 elderly patients with intertrochanteric fractures admitted to the People's Hospital of Xinjiang Uygur Autonomous Region and the People's Hospital of Xinyang between January 2020 and September 2022.Patient demographics, laboratory indicators, and surgical variables were documented.The primary outcome assessed was the one-year mortality rate.Risk factors were identified through univariate and multivariate Cox regression analyses, leading to the development of a prognostic model.The model's predictive performance was evaluated using the Concordance Index(C-Index), time-dependent receiver operating characteristic(ROC)curve, calibration curve, and decision curve analysis(DCA).Results:Multivariate Cox regression analysis identified several key factors associated with one-year mortality after intertrochanteric fractures in elderly patients.These factors included the modified five-item frailty index( OR=1.338, 95% CI: 1.147-1.561, P<0.001), ICU admission( OR=1.694, 95% CI: 1.230-2.333, P=0.001), preoperative hemoglobin levels( OR=1.281, 95% CI: 1.016-1.616, P=0.036), surgical waiting time( OR=1.570, 95% CI: 1.063-2.319, P=0.023), and age( OR=2.196, 95% CI: 1.712-2.816, P<0.001).The prediction model showed good consistency with a C-Index of 0.769(95% CI: 0.723-0.818)in the modeling group and 0.715(95% CI: 0.612-0.750)in the validation group.Time-dependent ROC areas under the curve were 0.802(95% CI: 0.722-0.850)and 0.718(95% CI: 0.640-0.808)for the modeling and validation groups, respectively.Calibration curves for both groups indicated a good model fit, and decision curve analysis demonstrated a positive net benefit, highlighting the clinical applicability of the model. Conclusions:The modified five-item frailty index, ICU admission, preoperative hemoglobin, surgical waiting time, and age independently predict one-year mortality after surgery for intertrochanteric fractures in elderly patients.This prognostic model, utilizing these factors, shows high predictive accuracy, assisting clinicians in quick personalized assessments and setting informed expectations in clinical practice.

Pharmaceutical cocrystals are one of the effective strategies to improve the solubility and bioavailability of poorly water-soluble drugs. However, the phase transformation of cocrystals during dissolution can lead to the recrystallization of the parent drugs, and thus negating the solubility advantage of cocrystals. The introduction of suitable excipients into the cocrystal formulation may inhibit the phase transformation during dissolution, resulting in the enhanced dissolution and bioavailability of poorly soluble drugs. In addition, the complex gastrointestinal environment and absorption behavior of drugs can have significant impacts on the oral bioavailability of cocrystals. This review summarizes the recent studies of the dissolution and absorption of pharmaceutical cocrystals, and aims to provide guidance for the rational design of pharmaceutical cocrystal formulations.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

With the development of information technology and the increasing demand for vaccination services among the people, it is a definite trend to enhance the quality of vaccination services through digitization. This article starts with a clear concept of digital services for vaccination, introduces the current development status in China and abroad, analyzes the advantages and disadvantages of existing models in leading regions, takes a glean from the summation, and proposes targeted solutions. This study suggests establishing a departmental coordination mechanism for data interconnection and sharing, formulating data standards and functional specifications, enhancing the functionalities of the immunization planning information system, strengthening data collection and analytical usage, and intensifying appointment management and science and health education to provide expert guidance for the construction of digital vaccination services across the country in the future.