Background: This study was performed to characterize the incidence, costs, and risk factors associated with renal and cardiovascular adverse outcomes following primary percutaneous coronary intervention (pPCI) in patients with ST-elevation myocardial infarction (STEMI). Methods: Patients with STEMI who underwent pPCI using iso-osmolar contrast were enrolled at 39 centers. The incidence of acute kidney injury (AKI) and major adverse renal and cardiovascular events (MARCE) was analyzed, as well as inpatient costs. Logistic regression analysis was performed to identify risk factors. Results: Among 2,293 patients, the incidence of AKI and MARCE within 72 hours post-pPCI was 4.14% (n = 95) and 4.40% (n = 101), respectively. AKI and/or MARCE were associated with systolic blood pressure (AKI: odds ratio [OR], 1.009; 95% confidence interval [CI], 1.000–1.018), hypertension (AKI: OR, 1.815; 95% CI, 1.133–2.906; MARCE: OR, 1.760;95% CI, 1.118–2.769), anterior wall infarction (AKI: OR, 1.895; 95% CI, 1.196–3.004; MARCE:OR, 1.939; 95% CI, 1.240–3.032), Killip class (AKI: OR, 1.465; 95% CI, 1.117–1.922; MARCE:OR, 1.467; 95% CI, 1.131–1.903), and serum creatinine (SCr; MARCE: OR, 1.006; 95% CI, 1.000–1.012). Hospitalization costs for patients with STEMI who developed AKI or MARCE were significantly higher than for those without AKI (9,595 ± 5,795 vs. 8,279 ± 3,872 USD, P = 0.003) or without MARCE (9,890 ± 5,616 vs. 8,255 ± 3,859 USD, P < 0.001). Conclusions In patients with STEMI undergoing pPCI with iso-osmolar contrast, the incidence of AKI and MARCE was associated with higher hospitalization costs. Systolic blood pressure, hypertension, anterior wall infarction, Killip class, and SCr were identified as risk factors for these outcomes.

Rare diseases are a collective term for diseases with extremely low prevalence and incidence rates.Up to now,China has released two lists identifying a total of 207 rare diseases.Given that most rare diseases do not have drugs with corresponding indications,physicians frequently resort to using off-label drugs when treating patients with rare diseases.However,there is currently no systematic guideline or expert consensus for the use of off-label medications in China.To comprehensively collect existing evidence of off-label drug use for rare diseases,fully analyze and evaluate the rationality of off-label drug use for rare diseases,and standardize the management of off-label drug use for rare diseases,the Rare Disease Branch of Beijing Medical Association,Chinese Pharmaceutical Association,Beijing Pharmaceutical Association,and the School of Public Health,Peking University have jointly initiated the drafting of the Expert Consensus on Off-label Use of Drugs for Rare Diseases.This consensus refer to the WHO Handbook for Guideline Development,the Guidelines for Developing/Revising Clinical Diagnostic and Treatment Guidelines in China(2022 Edition),the AGREE Ⅱ and the STAR tools.This protocol outlines the background and purpose of consensus,as well as the comprehensive framework for consensus development,encompassing panel formation,clinical issue identification,evidence retrieval,data extraction,and evidence-based recommendation formulation.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Objective To analyze the reverse mechano-electric effect of the layered structure of articular cartilage and its influencing factors.Methods The cartilage samples were classified according to their physiological thickness(approximately 0.4 mm for the upper layer,1 mm for the middle layer,and 0.6 mm for the lower layer).Through a non-contact external electric field testing method,how different influencing factors affected the reverse mechano-electric effect of articular cartilage was analyzed.Results When the electric field spacing decreased,water content increased,and in vitro time decreased,the displacement of normal layered cartilage in a non-contact electric field increased by 18,10,15 μm,respectively.In the case of simulated arthritis defects,as the defect depth and radius increased,the overall deviation deflection of articular cartilage gradually decreased by about 7 μm.Conclusions The three-layer cartilage differed in their reverse mechano-electricity effects,showing the greatest deflection in the middle layer at 90％water content,under 7 mm electric field spacing,and after 12 hours ex vivo.

Objective To provide a comprehensive review of the modeling method of the empty bottle stimulation(EBS)anxiety model,including commonly used experimental animal strains and genders,animal grouping,modeling procedures,modeling duration,primary behavioral evaluation method,and the underlying pathological mechanisms.This aims to offer a reference for the application of the EBS anxiety model in anxiety disorder research.Methods Searches were conducted in databases such as CNKI and PubMed to collect all literature related to the EBS anxiety model,which were then systematically summarized and organized.Results(1)Male adult SD or Wistar rats are predominantly used as experimental animals;(2)The optimal modeling period is 2 weeks;(3)Behavioral evaluations primarily utilize the open field test,elevated plus maze test,and light-dark box test;(4)Pathological mechanisms involve abnormal neurotransmitter metabolism in brain regions such as the hippocampus,prefrontal cortex,and amygdala.Conclusions The EBS anxiety model exhibits an anxiety-like behavioral phenotype and associated neurobiological mechanisms,validating its utility as an animal model for the study of anxiety disorders.However,further exploration and refinement are required for its standardized construction protocol and the understanding of its mechanistic underpinnings.

Objective This study aimed to investigate the effects of sleep interruption(SI)cycles on emotional behavior in ICR mice,and to establish a mouse model of comorbid anxiety and depression induced by SI.Methods Seventy-two male ICR mice(4～5 weeks old)were divided randomly into a blank group and a model group.Mice in the model group were subjected to SI stress modeling for 1,2,and 3 weeks,respectively.After modeling,emotional behaviors were evaluated using open-field,elevated plus maze,light-dark box,marble-burying,and forced-swimming tests.Serum corticosterone levels were detected by enzyme-linked immunosorbent assay.Results Mice in the model group buried significantly more marbles after 1 week of SI stress,compared with the blank group(P＜0.05).After 2 weeks of stress,mice in the model group also showed a significant decrease in the number of crossings in the light-dark box(P＜0.05)and a significant increase in the number of marbles buried(P＜0.01)compared with the control group.After 3 weeks of stress,mice in the model group showed a significant increase in the number of marbles buried(P＜0.05),a significant decrease in the number of crossings in the light-dark box(P＜0.05),and a significant increase in immobility time in the forced-swim test(P＜0.01).Conclusions ICR mice exhibited significant anxiety-related behaviors after 2 weeks of SI modeling and significant anxiety-and depressive-related behavioral changes after 3 weeks.Three weeks of SI stress can be used to establish a model of comorbid anxiety and depression.

Objective:To explore the clinical efficacy of modified Yiqi Huayu pelvic inflammation decoction combined with retention enema of traditional Chinese medicine (TCM) and moxibustion at Shenque acupoint in the treatment of patients with chronic pelvic inflammatory disease (CPID).Methods:A total of 120 CPID patients admitted to the Qian′an City Traditional Chinese Medicine Hospital from January 2023 to June 2024 were prospectively enrolled and randomly divided into the control group (60 cases, treated with modified Yiqi Huayu pelvic inflammation decoction) and the observation group (60 cases, treated with modified Yiqi Huayu pelvic inflammation decoction plus TCM retention enema and moxibustion at Shenque acupoint) using a random number table. Each course of treatment was 3 weeks, with drug withdrawal for 1 week during menstruation, and continuous treatment for 2 courses. The clinical efficacy of the two groups was observed. The TCM symptom scores, blood microcirculation indicators [whole blood low shear viscosity (LBV), whole blood high shear viscosity (HBV), platelet aggregation rate (PAR), hematocrit (HCT)], and serum inflammatory factors [tumor necrosis factor-α (TNF-α), interleukin-2 (IL-2), high mobility group box 1 (HMGB1), granulocyte-macrophage colony-stimulating factor (GM-CSF)] before and after treatment were compared. The patients were followed up for 3 months after treatment to compare the incidence of adverse reactions and recurrence between the two groups.Results:The total clinical effective rate of the observation group (95.00%, 57/60) was higher than that of the control group (83.33%, 50/60) ( P<0.05). After treatment, the individual scores of main and secondary symptoms and the total score of TCM syndrome in the observation group were lower than those in the control group (all P<0.05). After treatment, the levels of LBV, HBV, PAR, HCT, TNF-α, IL-2, HMGB1, and GM-CSF in the observation group were lower than those in the control group (all P<0.05). There was no statistically significant difference in the total incidence of adverse reactions between the two groups ( P>0.05). During the 3-month follow-up after treatment, the recurrence rate of the observation group was 3.33%(2/60), which was lower than 15.00%(9/60) of the control group ( P<0.05). Conclusions:Modified Yiqi Huayu pelvic inflammation decoction combined with TCM retention enema and moxibustion at Shenque acupoint has a definite efficacy in the treatment of CPID. It can effectively relieve clinical symptoms, improve blood microcirculation and inflammatory factor levels of patients, with a low short-term recurrence rate and no significant increase in the incidence of adverse reactions.

Rare diseases are a collective term for diseases with extremely low prevalence and incidence rates.Up to now,China has released two lists identifying a total of 207 rare diseases.Given that most rare diseases do not have drugs with corresponding indications,physicians frequently resort to using off-label drugs when treating patients with rare diseases.However,there is currently no systematic guideline or expert consensus for the use of off-label medications in China.To comprehensively collect existing evidence of off-label drug use for rare diseases,fully analyze and evaluate the rationality of off-label drug use for rare diseases,and standardize the management of off-label drug use for rare diseases,the Rare Disease Branch of Beijing Medical Association,Chinese Pharmaceutical Association,Beijing Pharmaceutical Association,and the School of Public Health,Peking University have jointly initiated the drafting of the Expert Consensus on Off-label Use of Drugs for Rare Diseases.This consensus refer to the WHO Handbook for Guideline Development,the Guidelines for Developing/Revising Clinical Diagnostic and Treatment Guidelines in China(2022 Edition),the AGREE Ⅱ and the STAR tools.This protocol outlines the background and purpose of consensus,as well as the comprehensive framework for consensus development,encompassing panel formation,clinical issue identification,evidence retrieval,data extraction,and evidence-based recommendation formulation.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Objective To analyze the reverse mechano-electric effect of the layered structure of articular cartilage and its influencing factors.Methods The cartilage samples were classified according to their physiological thickness(approximately 0.4 mm for the upper layer,1 mm for the middle layer,and 0.6 mm for the lower layer).Through a non-contact external electric field testing method,how different influencing factors affected the reverse mechano-electric effect of articular cartilage was analyzed.Results When the electric field spacing decreased,water content increased,and in vitro time decreased,the displacement of normal layered cartilage in a non-contact electric field increased by 18,10,15 μm,respectively.In the case of simulated arthritis defects,as the defect depth and radius increased,the overall deviation deflection of articular cartilage gradually decreased by about 7 μm.Conclusions The three-layer cartilage differed in their reverse mechano-electricity effects,showing the greatest deflection in the middle layer at 90％water content,under 7 mm electric field spacing,and after 12 hours ex vivo.