OBJECTIVE:Disorders in iron metabolism increase the risk of type 2 diabetes mellitus.Hepcidin play an important role in maintaining iron homeostasis in the body,but its level increases with increased inflammation.Changes in hepcidin and iron homeostasis and the extent of their association with inflammation in people with and without type 2 diabetes mellitus are unknown.Meta-analysis was used to evaluate the effect of inflammation on serum hepcidin and iron metabolism related parameters in patients with type 2 diabetes mellitus.METHODS:CNKI,PubMed,Web of Science and EBSCOhost databases were searched by computer to collect observational studies related to inflammatory index and hepcidin in patients with type 2 diabetes mellitus.The search time was from September 1,2000 to September 30,2024.Three researchers independently screened the literature,extracted data and evaluated the quality of the included literature.Meta-analysis was performed by Review Manager 5.3,Stata 17.0 and GraphPad Prism 8.0.2 software.RESULTS:A total of 15 articles(17 studies)involving 3 159 participants,including 1 357 patients with type 2 diabetes mellitus,were included.Meta-analysis results showed that compared with the control group,patients with type 2 diabetes mellitus had higher levels of serum hepcidin[standardized mean difference(SMD)=0.35,95％confidence interval(CI)(0.05,0.65),P＜0.05],serum ferritin(SMD=0.49,95％CI(0.21,0.78),P＜0.01)and serum transferrin(SMD=0.19,95％CI(0.00,0.37),P＜0.05).Subgroup analysis results indicated that inflammation had a significant effect on serum hepcidin(SMD=0.76,95％CI(0.17,1.34),P＜0.05)and serum ferritin(SMD=0.77,95％CI(0.06,1.47),P＜0.05)in patients with type 2 diabetes mellitus.CONCLUSION:Hepcidin concentration is positively correlated with type 2 diabetes mellitus.Inflammation is one of the risk factors of type 2 diabetes mellitus.Early prevention of inflammation has certain significance in preventing iron metabolism disorder in patients with type 2 diabetes mellitus.

OBJECTIVE:Disorders in iron metabolism increase the risk of type 2 diabetes mellitus.Hepcidin play an important role in maintaining iron homeostasis in the body,but its level increases with increased inflammation.Changes in hepcidin and iron homeostasis and the extent of their association with inflammation in people with and without type 2 diabetes mellitus are unknown.Meta-analysis was used to evaluate the effect of inflammation on serum hepcidin and iron metabolism related parameters in patients with type 2 diabetes mellitus.METHODS:CNKI,PubMed,Web of Science and EBSCOhost databases were searched by computer to collect observational studies related to inflammatory index and hepcidin in patients with type 2 diabetes mellitus.The search time was from September 1,2000 to September 30,2024.Three researchers independently screened the literature,extracted data and evaluated the quality of the included literature.Meta-analysis was performed by Review Manager 5.3,Stata 17.0 and GraphPad Prism 8.0.2 software.RESULTS:A total of 15 articles(17 studies)involving 3 159 participants,including 1 357 patients with type 2 diabetes mellitus,were included.Meta-analysis results showed that compared with the control group,patients with type 2 diabetes mellitus had higher levels of serum hepcidin[standardized mean difference(SMD)=0.35,95％confidence interval(CI)(0.05,0.65),P＜0.05],serum ferritin(SMD=0.49,95％CI(0.21,0.78),P＜0.01)and serum transferrin(SMD=0.19,95％CI(0.00,0.37),P＜0.05).Subgroup analysis results indicated that inflammation had a significant effect on serum hepcidin(SMD=0.76,95％CI(0.17,1.34),P＜0.05)and serum ferritin(SMD=0.77,95％CI(0.06,1.47),P＜0.05)in patients with type 2 diabetes mellitus.CONCLUSION:Hepcidin concentration is positively correlated with type 2 diabetes mellitus.Inflammation is one of the risk factors of type 2 diabetes mellitus.Early prevention of inflammation has certain significance in preventing iron metabolism disorder in patients with type 2 diabetes mellitus.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To investigate the risk factors for mortality and bleeding complications in extracorporeal membrane oxygenation(ECMO)treated patients and to evaluate the impact of thrombocytopenia severity on the prognosis of ECMO therapy.Methods A total of 153 patients who received ECMO treatment at Peking University Third Hospital between January 2013 and September 2024 were en-rolled in this study.The patients were divided into death group(n=97)and recovery group(n=56)based on their final outcomes.Additionally,the patients were categorized into bleeding group(n=104)and non-bleeding group(n=49)based on the occurrence of bleeding complications during ECMO.Clinical baseline characteristics and extreme laboratory values during ECMO were compared be-tween groups.Logistic regression was used to analyze the risk factors for mortality and bleeding.The patients were further divided,based on the initial platelet(PLT)values on the day of catheter placement and the lowest platelet count during ECMO,into normal group(PLT≥ 100× 109/L),moderate reduction group[PLT=(50～99)× 109/L],and severe reduction group(PLT＜50× 109/L).Kaplan-Meier analysis was used to compare survival rates among these groups.The patients in the moderate and severe reduction groups were further divided into a platelet transfusion group and a non-transfusion group,and the outcomes and complication rates were com-pared.Results The recovery group had a higher proportion of myocarditis,higher minimum values of PLT,Hb,and Fib,and higher initial PLT values,while the maximum values of lactic dehydrogenase(LDH),total bilirubin(T-Bil),prothrombin time(PT),and procalcitonin(PCT)were lower(all P＜0.05)with significant differences.Logistic regression showed that age and maximum PCT were independent risk factors for mortality(OR=1.025 and 1.015 respectively,all P＜0.05).The bleeding group had longer ECMO dura-tions,more plasma transfusions,lower minimum Hb values,and higher maximum values of WBC,neutrophils(Neu),and APTT(all P＜0.05)with statistical differences.The minimum PLT value,maximum WBC value,and maximum APTT value were independent risk factors for bleeding complications(OR=0.986,1.062,and 1.004 respectively,all P＜0.05).Kaplan-Meier analysis showed that the patients in the severe reduction group had lower survival rates,regardless of whether the grouping was based on initial or minimum platelet counts(all P＜0.05).Platelet transfusion improved the mortality in the severe reduction group(P＜0.05)but had no effect on the moderate reduction group.Conclusion Age and peak value of PCT are the risk factors for mortality in ECMO patients,while mini-mum PLT count,peak value of WBC and APTT are the risk factors for bleeding complications.Early intervention for infection and in-flammation during ECMO may improve the outcome of patients.Severe thrombocytopenia during ECMO therapy increased the risk of mortality,and targeted platelet transfusion may improve the survival of these patients.

Objective:To investigate the risk factors of amputation in patients with diabetic foot ulcer (DFU) in order to improve the prognosis and reduce the amputation rate.Methods:The clinical data of 359 DFU patients admitted to the People′s Hospital of Xinjiang Uygur Autonomous Region from January 2017 to August 2021 were retrospectively analyzed, and they were divided into amputation group (161 cases) and non-amputation group (198 cases) according to whether amputation surgery was performed. Demographic characteristics, Wagner grading and other data of the two groups were collected. Forward step logistic regression analysis was used to identify independent risk factors for amputation, and receiver operating characteristic (ROC) curves were used to evaluate the predictive value of each risk factor for amputation in DFU patients.Results:There were significant differences between the amputation and non-amputation groups in terms of previous amputation history, peripheral vascular diseases (PVD), diabetic foot secondary osteomyelitis, diabetic nephropathy (DN), history of angioplasty, Wanger grade, K +, age, white blood cell count, C-reactive protein, high density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate, cardiac troponin T, and cardiac troponin I, lactic acid (all P<0.05). Previous amputation history ( OR=2.329, 95% CI: 1.092-4.970, P=0.029), DN ( OR=4.091, 95% CI: 2.222-7.532, P<0.001), PVD ( OR=2.556, 95% CI: 1.487-4.395, P=0.001), diabetic foot secondary osteomyelitis ( OR=6.332, 95% CI: 3.595-11.153, P<0.001), Wagner grade were independent risk factors for amputation in DFU patients, HDL-C ( OR=0.392, 95% CI: 0.182-0.842, P=0.016) were protective factors for amputation in DFU patients. Moreover, the combined accuracy of the above factors in predicting amputation in DFU patients was high, and the area under ROC curve was 0.839 (95% CI: 0.798-0.880), sensitivity was 83%, and specificity was 73% ( OR=0.05). Conclusions:Previous amputation history, DN, PVD, diabetic foot secondary osteomyelitis and Wagner grade are independent risk factors for amputation in DFU patients, while HDL-C is a protective factor for amputation in DFU patients. Further investigation will help to establish a stratified system for predicting the risk of diabetic foot, so as to achieve better individualized treatment.

Objective This study aimed to investigate the efficacy of modified endoscopic autologous cartilage eustachian tube pharyngeal orifice tuboplasty(MEACETT)in patients with patulous eustachian tube(PET).Meth-ods A retrospective analysis was conducted on the clinical data of 27 patients(30 ears)diagnosed with PET who underwent MEACETT.Autologous cartilage was used through the incision at the posterior end of the inferior turbi-nate and filled into the lateral wall of the pharyngeal orifice of the eustachian tube.Without affecting the movement function of the eustachian tube during swallowing,the collapse of the pharyngeal orifice was fully filled.Before and after the surgery,the visual analogue scale(VAS),the eustachian tube dysfunction questionnaire-7(ETDQ-7)and hospital anxiety and depression scale(HADS)was used for assessment to evaluate the surgical efficacy.Results There was no significant difference in depression scores before and after surgery(P＞0.05).However,postopera-tive anxiety scores,ETDQ-7 scores,and VAS scores were significantly lower than preoperative scores(P＜0.05).Among the 27 patients,9 showed significant symptom relief,13 exhibited partial relief,and 5 had no significant change compared to preoperative symptoms.The overall response rate of the treatment(significant relief and partial relief)was 81.48％(22/27).All surgeries were successfully performed.Except for secretory otitis media occurring in 2 cases,no major complications were observed.Conclusion MEACETT demonstrates significant symptom relief in PET patients,with high surgical safety and low complication rates,making it worthy of clinical promotion.

Objective To evaluate the diagnostic efficacy of the R value in tubomanometry(TMM)for the di-agnosis of patulous eustachian tube(PET).Methods The clinical data of 58 patients with PET and 65 controls were retrospectively analyzed.TMM was performed on both groups under nasopharyngeal pressures of 30,40,and 50 mbar respectively.The diagnostic efficacy of the R value for PET was evaluated through receiver operating char-acteristic(ROC)curves.Results In the control group,the average R values under nasopharyngeal pressures of 30,40,and 50 mbar were 0.86±0.50,0.76±0.41,and 0.68±0.34 respectively.In contrast,the corresponding R values in the PET group were significantly lower,which were 0.56±0.38,0.50±0.36,and 0.46±0.38 respec-tively.According to the ROC curve analysis,the areas under the curve(AUC)at these pressures were 0.62,0.74,and 0.74 respectively.The specificity and sensitivity of the R value under nasopharyngeal pressures of 30,40,and 50 mbar were 76.90％and 54.30％,74.60％and 68.10％,86.90％and 54.30％,respectively.Under pressures of 30,40,and 50 mbar,the incidence rates of R＞1 in the control group and the PET group were 29.23％(38/130)and 12.77％(12/94)(x2=8.69,P=0.003),20.00％(26/130)and 6.38％(6/94)(x2=7.20,P=0.007),10.00％(13/130)and 3.19％(3/94)(x2=2.87,P=0.09)respectively.Conclusion Although the low R value in TMM reflects the presence of PET to some extent,it does not provide adequate sensitivity and specificity to serve as an independent diagnostic criterion for PET.

Objective To investigate the effects and mechanisms of combined prescriptions of essential oils from five traditional Chinese medicinal herbs,namely peppermint,turmeric,ginger,Tibetan fennel,and cumin,on symptoms related to functional abdominal pain syndrome(FAPS).Methods Gas chromatography-mass spectrometry(GC-MS)was employed to analyze the chemical constituents of five essential oils,while network pharmacology was utilized to predict the key targets and signaling pathways associated with these essential oils in alleviating functional abdominal pain syndrome.A formula design methodology centered on these core targets and signaling pathways was developed for creating new prescriptions.Molecular docking technology was conducted to predict its the underlying mechanisms.Subsequently,animal experiments were performed to assess pharmacological activity,including hot plate tests and acetic acid-induced writhing assays to validate the analgesic effects of the newly formulated prescription,as well as xylene-induced ear swelling tests to evaluate its anti-inflammatory properties.The impact of the essential oil formulation on intestinal peristaltic function was examined through intestinal propulsion experiments.Additionally,enzyme-linked immunosorbent assay(ELISA)methods were employed to measure levels of serotonin(5-HT),prostaglandin E2(PGE2),and gamma-aminobutyric acid(GABA)in brain tissue.Western blot analysis was conducted to determine protein expression levels of TPH1 and SERT in the intestine,along with TPH2 and SERT in the brain.Results The main chemical components in five essential oils were identified and screened(peppermint:12,turmeric:8,ginger:14,cumin:2,fennel:6).Based on the network pharmacology analysis,four new essential oil prescriptions were successfully designed according to the complementary relationship between the five essential oils in improving functional abdominal pain syndrome at the target level,including 4 new prescription named Prescription A,B,C and D,these four prescriptions were all based on ginger and turmeric essential oils,with other essential oils serving as supplements or enhancements.The results of animal experiments showed that Prescription D could significantly reduce the writhe frequency of mice(P<0.05),all the four groups could significantly prolong the pain threshold of mice(P<0.05),and Prescription C had a significant effect on reducing the degree of ear swelling(P<0.05).The prescription of essential oil did not significantly affect the function of peristalsis and the speed of propulsion.The levels of 5-HT and PGE2 in the brain tissue were significantly inhibited(P<0.05),and the level of GABA was significantly increased(P<0.05).Prescription C could reduce the expression of TPH1 in the intestinal tissue(P<0.05),Prescription A,C and D could reduce the expression of TPH2,and all groups had a tendency to increase the expression of SERT in the brain tissue.Conclusion In summary,the therapeutic effects of the four novel prescriptions composed of the five essential oils demonstrated potential in improving symptoms related to FAPS,the mechanism might be through modulating abnormalities in the brain-gut axis system.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Objective:To explore the construction of a core competency evaluation indicator system for pediatric surgery operating room specialist nurses.Methods:The evaluation indicator system was constructed by reviewing literature, analyzing semi-structured interview results, and examining the characteristics of training specialized nurses in pediatric surgery operating rooms, as well as combining the characteristics of pediatric surgery and multi-source data. The research group discussed and proposed a preliminary core competency evaluation indicator system for specialized nurses in pediatric surgery operating rooms. This study used the Delphi expert inquiry method to conduct two rounds of expert consultation and ultimately established the core competency evaluation indicator system for pediatric surgery operating room specialist nurses. The expert positivity coefficient was represented by the questionnaire response rate, and the expert authority coefficient was calculated using the judgment coefficient and familiarity degree. The coefficient of variation and Kendall's W coefficient were used to measure the degree of coordination of expert opinions. Results:The effective response rates for the two rounds of expert consultation were 100.00% and 95.24%, respectively. The authority coefficients of the two rounds of expert consultation were 0.92 and 0.90, respectively. The coefficients of variation of indicators at various levels were less than 0.25. The Kendall's W coefficients for the first-, second-, and third-level indicators in the first and second rounds of expert consultation were 0.516-0.664 and 0.652-0.711, respectively ( P<0.001). The final core competency evaluation indicator system for pediatric surgery operating room specialist nurses included 3 first-level indicators, 15 second-level indicators, and 52 third-level indicators. Conclusions:The core competency evaluation indicator system for pediatric surgery operating room specialist nurses constructed in this study provides a scientific and practical guidance for training pediatric surgery operating room specialist nurses in China.