Background The health effects of environmental exposures are often characterized by complex interactions. However, evidence on the joint health effects of ambient oxidizing pollutants and air temperature in the cold regions of Northern China remains limited. Objective To examine the independent and interactive effects of atmospheric oxidizing pollutants and air temperature on daily mortality among residents of Hohhot. Methods Daily data on air quality, meteorological factors, and cause-specific mortality in Hohhot from 2018 to2023 were collected. A quasi-Poisson generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM) was used to examine the effects of ambient oxidant pollutants [ozone (O₃), nitrogen dioxide (NO₂), and total oxidant (Oₓ)] and air temperature on daily circulatory and respiratory mortality. Potential interactions between oxidizing pollutants and temperature were evaluated using bivariate exposure–response surface models and quantified through stratified analyses. Results For each 10 μg·m⁻³ increase in O₃, O_X, and NO₂ concentrations, the strongest associations with circulatory disease mortality occurred at lag1, with excess risks (ERs) of 1.10% (95%CI: 0.50%, 1.71%), 1.84% (95%CI: 0.94%, 2.75%), and 1.49% (95%CI: 0.36%, 2.62%), respectively. The strongest associations of O₃ and O_X with respiratory disease mortality were observed at lag2, with ERs of 1.61% (95%CI: 0.61%, 2.62%) and 2.61% (95%CI: 1.61%, 3.62%), respectively. NO₂ showed the strongest cumulative association with respiratory disease mortality at lag02, with an ER of 3.22% (95%CI: 1.24%, 5.25%). High temperature exhibited immediate or short-term effects, while low temperature showed lagged effects. The exposure–response relationships between temperature and mortality risks for respiratory circulatory diseases were U-shaped. Positive additive interactions were observed between high temperature and high concentrations of O₃ and O_X. For the joint exposure to high temperature and high O₃, the relative excess risks due to interaction (RERIs) for circulatory and respiratory disease mortality were 0.131 (95%CI: 0.086, 0.176) and 0.279 (95%CI: 0.198, 0.360), respectively. For the joint exposure to high temperature and high O_X, the corresponding RERI values were 0.080 (95%CI: 0.038, 0.123) and 0.154 (95%CI: 0.074, 0.234), respectively. In contrast, high temperature and high NO₂ concentration exhibited antagonistic or attenuating interactions. Conclusion Ambient oxidizing pollutants, high temperature, and low temperature are independently associated with increased circulatory and respiratory disease mortality. High temperature combined with high concentrations of O₃ or O_X exerts positive additive interactions, with the respiratory system showing particular vulnerability. The mortality risks associated with NO₂ are more pronounced under low temperature conditions, whereas its interaction with high temperature appear antagonistic, suggesting a temperature-dependent risk-modifying effect.

Visfatin,also known as nicotinamide phosphoribosyl transferase(NAMPT)or pre-B-cell colony-enhancing factor,is a proinflam-matory adipokine.Its immunomodulatory effects are closely associated with its pro-inflammatory activity,influencing the secretion of vari-ous cytokines and the function of immune cells.Visfatin exerts pro-tumorigenic effects in most cancers.The tumor immune microenviron-ment(TIME)comprises immune cells within the tumor tissue and an array of secreted cytokines.Growing evidence suggests that visfatin plays a regulatory role in the TIME by promoting inflammatory responses and modulating the polarization of immune cells,their secretory functions,surface protein expression,and energy metabolism,thereby influencing cancer progression.These newly discovered mechanisms provide a critical foundation for the application of NAMPT inhibitors(NAMPTi)in cancer immunotherapy.This review summarizes recent ad-vances in understanding the role of visfatin in tumor immunology and explores the therapeutic potential of NAMPTi in oncology.

OBJECTIVE To standardize the strategies for prevention and control of Chikungunya(CHIK)in healthcare in-stitutions so as to reduce the risk of transmission in the institutions.METHODS A working group comprising the ex-perts in hospital infection control,infectious diseases,and microbiology systematically reviewed domestic and international evidence and current guidelines,integrated China's vector ecology and healthcare realities,conducted two rounds of Delphi to achieve expert consensus,and graded the evidence and recommendation strength using the Oxford Centre for Evidence Based Medicine system.RESULTS The consensus issues 18 actionable recommendations on triage,patient mosquito-proof isolation,integrated vector control,protection of susceptible populations,environmental cleaning and disinfection,specimen management,medical textile handling,and outbreak emergency response,with each statement assigned an evi-dence level and recommendation strength.CONCLUSION This consensus is for the first time in China to provide evidence-graded strategies for control of CHIK in healthcare institutions,offering work flow-oriented,implementable guidance for clinicians,laboratorians,and infection-control personnel under different risk scenarios and enhancing the comprehensive coping capacity of the healthcare institutions.

To summarize the nursing experience of a patient with Danon disease after heart transplantation.Nursing key points:closely monitor heart function,prevent right heart failure;phased analgesic and sedative measures were implemented to reduce the occurrence of related complications.Skeletal muscle function was evaluated and rehabilitation training was strengthened to promote the prognosis of patients.The patient was transferred to the general ward 5 days after operation,and was discharged 22 days after operation.

Bacteroides uniformis(B.uniformis)is an obligate anaerobic Gram-negative bacteria,it belongs to Bacieroides spp..It is an important component of the normal gut microbiota in human body and rarely causes op-portunistic infection in clinical practice.Currently,there is no consensus on the clinical characteristics,diagnosis,treatment,and prognosis of infection caused by B.uniformis,and the resistance of anaerobic bacteria is difficult to be detected.This article reports a case of a lung tumor patient who developed diarrhea and bloodstream infection due to B.uniformis after chemotherapy.After empirical anti-infective treatment with cefoperazone/sulbactam,the pa-tient recovered and was discharged from hospital.This paper aims to improve clinical understanding on infection caused by opportunistic pathogens in the gut,and provide reference for timely diagnosis and effective treatment.

ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

This report described the multidisciplinary management of a preterm infant with congenital tracheal agenesis (TA). The infant, delivered via cesarean section at 32 +5 weeks' gestation, had Apgar scores of 6 and 8 at 1 and 5 minutes, respectively. Although skin color improved after 30 seconds of bag-mask ventilation, the infant exhibited no cry, weak spontaneous breathing, and failed multiple intubation attempts. The patient was transferred to Anhui Children's Hospital of Fudan University under continuous bag-mask positive-pressure ventilation at 3 hours after birth (September 10, 2024). Combined imaging and fiberoptic bronchoscopy confirmed TA (Floyd type Ⅱ/Faro type C) with multiple anomalies, including duodenal atresia, aortic coarctation, and butterfly vertebrae. Whole-genome sequencing revealed a suspected mosaic SCN2A c.5317G>A variant (wild-type parents) and an ERCC5 c.2974C>T heterozygous variant inherited from the mother (homozygous). Following esophageal intubation, invasive mechanical ventilation, and continuous gastrointestinal decompression, respiratory distress significantly improved with a stabilized condition. The infant died 30 hours after birth following treatment withdrawal.

Visfatin,also known as nicotinamide phosphoribosyl transferase(NAMPT)or pre-B-cell colony-enhancing factor,is a proinflam-matory adipokine.Its immunomodulatory effects are closely associated with its pro-inflammatory activity,influencing the secretion of vari-ous cytokines and the function of immune cells.Visfatin exerts pro-tumorigenic effects in most cancers.The tumor immune microenviron-ment(TIME)comprises immune cells within the tumor tissue and an array of secreted cytokines.Growing evidence suggests that visfatin plays a regulatory role in the TIME by promoting inflammatory responses and modulating the polarization of immune cells,their secretory functions,surface protein expression,and energy metabolism,thereby influencing cancer progression.These newly discovered mechanisms provide a critical foundation for the application of NAMPT inhibitors(NAMPTi)in cancer immunotherapy.This review summarizes recent ad-vances in understanding the role of visfatin in tumor immunology and explores the therapeutic potential of NAMPTi in oncology.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.