Objective To analyze drug resistance and clustering of environmental and clinical isolates of Acinetobacter baumannii (A. baumannii) in ICU of a medical institution in Shanghai. Methods The isolates of A. baumannii from ICU environments and clinic were used to analyze the contamination and distribution in 2021-2024. Antimicrobial susceptibility testing was carried out with microbroth dilution method. Whole genome sequencing was performed out of strains for MLST typing and SNP clustering. Results The detection rate of contamination in ICU environment was 7.67%, and the most serious contamination was found in pillows, bedding, hospital gowns and other items that patients directly contacted. Clinical isolates were predominantly from sputum specimens. The environmental and clinical isolates had a high level of resistance to third generation cephalosporins, third generation quinolones and carbapenems (more than 85%). Environmental isolates had a low level of resistance to polymyxin B, but none of the clinical isolates were resistant. MLST typing showed that ST2 was the dominant clone (66.67%), and SNP clustering found that isolates from different sources but with the same ST type were clustered together. Conclusion ST2 is the dominant clone of A. baumannii isolates in this medical institution, and there is cross-contamination between different samples. Monitoring of drug resistance and disinfection should be further strengthened to prevent the emergence and spread of pan-resistant or even fully resistant strains.

Objective To explore the risk factors of progression to dementia within 2 years in patients with recent subcortical small infarction (RSSI) complicated with cognitive dysfunction. Methods A total of 340 patients with RSSI complicated with cognitive dysfunction who were treated in the hospital and completed 2-year follow-up were selected from February 2021 to February 2025. According to whether the patients progressed to dementia, they were classified into dementia group (n=105) and non-dementia group (n=235). The clinical data were compared between both groups, and the independent risk factors were screened by Logistic regression analysis. Results Multivariate logistic regression analysis suggested that history of hypertension (OR=1.919), history of diabetes mellitus (OR=1.597), multiple infarctions (OR=1.455), severe white matter lesions (OR=1.595), no cognitive function training (OR=1.923), increased infarct size (OR=1.069), reduced MMSE score (OR=0.945) and increased levels of NfL (OR=1.049) and IL-6 (OR=1.038) were independent risk factors for the progression to dementia (all P<0.05). Conclusion The progression to dementia in patients with recent subcortical small infarction and cognitive dysfunction is affected by multiple factors. In clinical practice, the integration of vascular risk factors, imaging features, cognitive assessment and serum biomarkers (NfL, IL-6) helps to construct an early risk prediction model and implement targeted interventions for high-risk groups.

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.

Objective To explore the impact of different delay time of umbilical cord ligation on the outcome of preterm infants.Methods A total of 266 preterm infants born in the obstetric department of this hospital from January 2021 to December 2022 were selected as the research subjects and divided into the in-stant group(umbilical cord ligation immediately after birth,n=53),30 s group(delayed umbilical cord liga-tion for 30 s,n=50),60 s group(delayed umbilical cord ligation for 60 s,n=55),90 s group(delayed umbili-cal cord ligation for 90 s,n=55)and 120 s group(delayed umbilical cord ligation for 120 s,n=52)according to the random number table method.The Hb and HCT levels and the incidence rates of anemia,blood transfu-sion,hyperbilirubinemia,intracranial hemorrhage,necrotizing enterocolitis(NEC)and bronchopulmonary dys-plasia(BPD)after birth were compared among 5 groups.Results The Hb and HCT levels at 24 h after birth in the 60,90,120 s groups were higher than those in the instant group and 30 s group,moreover the 120 s group was higher than the 60 s group and 90 s group,and the differences were statistically significant(P＜0.05).The anemia incidence rate and blood transfusion rate in the 60,90,120 s groups were lower than those in the instant group and 30 s group,and the differences were statistically significant(P＜0.05).The hyperbil-irubinemia incidence rate in the 120 s group was higher than that in the other 4 groups,and the difference was statistically significant(P＜0.05).The intracranial hemorrhage incidence rate in the 60,90,120 s groups were lower than those in the instant group and 30 s group,and the differences were statistically significant(P＜0.05).The NEC incidence rate in the 60 s and 90 s group was lower than that in the instant group and 30 s group,but the 120 s group was higher than that in the other 4 groups,and the differences were statistically significant(P＜0.05).The BPD incidence rate had no statistical difference among 5 groups(P＞0.05).Con-clusion Delayed umbilical cord ligation for 60 s or 90 s could improve the outcomes of preterm infants.

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.

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.

Dihydromyricetin(DMY),a flavonoid compound extracted from Ampelopsis grossedentata,exhibits diverse pharmacological activities,including anti-inflammatory,antioxidant,antitumor,neuroprotective,and immuno-modulatory effects.Recent studies have demonstrated that DMY can suppress inflammatory responses and oxidative stress through multiple molecular pathways,as well as regulate bile acid metabolism and maintain intestinal microbiota balance.These actions help reduce histopathological damage,improve gastrointestinal barrier function,and alleviate the symptoms of digestive system diseases.DMY has shown significant therapeutic effects in the treatment of gastrointestinal inflamma-tion,liver diseases,and digestive tract tumors.This review systematically summarizes the mechanisms of action and thera-peutic potential of DMY in digestive system diseases,providing a scientific basis and theoretical support for its clinical ap-plication and the development of new drugs.

Background Asthma poses a serious threat to children's growth, development, and mental health, thus there has been an increasing focus on the control of asthma morbidity in children and the assessment of its risk factors. A growing body of research has found that exposure to ambient air pollutants an significatly increase the risk of childhood asthma. Objective To understand the changes of ambient air pollutant concentrations in Nanjing and asthma outpatient visits to Nanjing Children's Hospital, and to quantitatively analyze the effects of exposure to different ambient air pollutants on children's asthma outpatient visits. Methods Daily data of ambient air pollutants fine particulate matter (PM_2.5), inhalable particle (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), ozone (O₃), meteorological factors (air temperature & relative humidity), and outpatient visits due to asthma in the hospital from January 1, 2019 to December 31, 2023 were collected, and a generalized additive model based on quasi poisson distributions was used to quantitatively analyze the short-term effects of ambient air pollutant exposure on outpatient visits due to asthma in the hospital. Results The annual average concentrations of PM_2.5, PM₁₀, SO₂, and NO₂ in Nanjing from 2019 to 2023 did not exceed the national limits. For single-day lagged effects, the single-pollutant model showed that the effects of PM_2.5, PM₁₀, NO₂, and CO on children's asthma outpatient visits were greatest for every 10 units increase at lag0, with excess risk (ER) of 1.39% (95%CI: 0.65%, 2.14%), 1.46% (95%CI: 0.97%, 1.95%), 5.46% (95%CI: 4.36%, 6.57%), and 0.18% (95%CI: 0.11%, 0.26%), respectively, and SO₂ reached the maximum effect at lag1, with an ER of 23.15% (95%CI: 13.57%, 33.53%) for each 10 units increase in concentration. Different pollutants reached their maximum cumulative lag effects at different time. The PM₁₀, PM_2.5, SO₂, NO₂, and CO showed the largest cumulative lag effects at lag01, lag01, lag02, lag02, and lag03, respectively, with ERs of 1.35% (95%CI: 0.77%, 1.92%), 0.96% (95%CI: 0.10%, 1.83%), 28.50% (95%CI: 15.49%, 42.98%), 6.92% (95%CI: 5.53%, 8.33%), and 0.31% (95%CI: 0.20%, 0.42%), respectively. The influences of PM_2.5 and PM₁₀ on outpatient visits due to asthma in the hospital became more pronounced with advancing age, while the associations with NO₂, SO₂, and CO were weakened as children grew older. Conclusion Ambient air pollutants (PM_2.5, PM₁₀, SO₂, NO₂, CO) can increase childhood asthma visits, and different pollutants have varied effects on the number of asthmatic children's visits at different ages.

Objective: Through analyzing the current handling capabilities for complex cases in blood transfusion compatibility detection and the application status of artificial intelligence-assisted (AI-assisted) technologies, this study explores the establishment of an effective AI-augmented protocol for managing challenging blood transfusion compatibility detection. Methods: This research systematically analyzes, designs, and explores an AI-augmented operational workflow for resolving challenging blood transfusion compatibility detection cases. Through three representative case studies, we evaluate its effectiveness, accuracy, and efficiency in addressing real-world diagnostic challenges. Results: The AI-augmented operational model demonstrates significant efficacy in resolving complex blood transfusion compatibility challenges, including complex blood typing, antibody specificity identification, challenging cross-matching, and transfusion strategy formulation. Conclusion: AI-augmented technologies demonstrate immense potential in resolving complex blood transfusion compatibility detections. By enabling intelligent, automated, precise, and standardized solutions, they significantly enhance diagnostic accuracy and operational efficiency, which is critical for ensuring transfusion safety and advancing personalized transfusion medicine. This study delineates both the advantages and existing limitations of AI implementation, explores future developmental trajectories, and provides a theoretical framework and practical implementation pathways for deeper integration of AI in transfusion medicine.