Objective To analyze the clinical characteristics of cancer related anemia(CRA)in older cancer patients undergoing multi-line anti-tumor treatment.Methods A cross-sectional study was conducted,including patients with CRA who were≥65 years old and had received or were currently undergoing multi-line treatment at 9 hospitals in Beijing from June 1,2018 to September 30,2023.Data on gender,age,past history,family history,tumor type,metastasis site,clinical symptoms,blood routine,specialized examination for anemia,anti-tumor and anemia correction treatment were collected.The basic characteristics of the included patients,clinical symptoms,the status of blood cell reduction,treatment conditions,and the distribution of traditional Chinese medicine(TCM)syndrome characteristics were analyzed.Results A total of 602 patients were included.The tumor types included lung cancer,colorectal cancer,gastric cancer,esophageal cancer,breast cancer,gynecological tumors,lymphoma.The overall median hemoglobin(HGB)level was 99.00(88.00,107.00)g/L.The HGB levels of patients with different tumor types showed significant differences(P<0.001).The HGB levels of patients with gynecological tumors were significantly lower than those of patients with colorectal cancer,lung cancer and esophageal cancer(P<0.05).The most common clinical symptoms were fatigue,loss of appetite,irregular bowel movements and pain.In terms of anti-tumor treatment,405 patients were receiving multi-line anti-tumor treatment(including combined chemotherapy,combined radiotherapy,combined targeted therapy,and combined immunotherapy),197 patients were receiving symptomatic supportive treatment after multi-line anti-tumor treatment.In terms of anemia correction treatment,183 patients received erythropoietin,folic acid,iron,vitamin B12,or blood transfusion,while 293 patients received TCM for correcting anemia(including Chinese patent medicines,Chinese herbal decoctions,combinations of Chinese patent medicines and Chinese herbal decoctions).Specialized tests for anemia,such as serum iron,total iron binding capacity,transferrin saturation,transferrin,erythropoietin et al,have a detection rate of only 3.65%～27.91%.In terms of the characteristics of TCM syndromes,the main TCM syndrome types of the patients were as follows:syndrome of spleen-stomach weakness,syndrome of qi and blood deficiency,syndrome of heart-spleen deficiency,syndrome of spleen-kidney yang deficiency,syndrome of liver and kidney yin deficiency.Some patients also have the accompanying symptoms of internal binding of static blood and poison,phlegm dampness retention.Further comparison revealed that the HGB level of older patients with CRA who had syndrome of spleen-stomach weakness was significantly lower than patients with other symptom types(P<0.001).The HGB level of patients with syndrome of qi and blood deficiency was significantly lower than patients with syndrome of spleen-kidney yang deficiency(P<0.01)and syndrome of liver and kidney yin deficiency(P<0.001).Patients with symptoms of internal binding of static blood and poison,or symptoms of phlegm dampness retention had significantly lower HGB levels compared to those without accompanying symptoms(P<0.01).Conclusion The rate of specialized blood test for anemia in older patients with CRA was relatively low.The most common TCM syndrome types were syndrome of spleen-stomach weakness and syndrome of qi and blood deficiency.The overall treatment rate was also low.The screening,specialized diagnosis and monitoring of older patients with CRA need to be given more attention,and treatment methods such as TCM,Western medicine,and integrated TCM-Western medicine should be selected based on the patient's condition.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective To analyze the clinical characteristics of cancer related anemia(CRA)in older cancer patients undergoing multi-line anti-tumor treatment.Methods A cross-sectional study was conducted,including patients with CRA who were≥65 years old and had received or were currently undergoing multi-line treatment at 9 hospitals in Beijing from June 1,2018 to September 30,2023.Data on gender,age,past history,family history,tumor type,metastasis site,clinical symptoms,blood routine,specialized examination for anemia,anti-tumor and anemia correction treatment were collected.The basic characteristics of the included patients,clinical symptoms,the status of blood cell reduction,treatment conditions,and the distribution of traditional Chinese medicine(TCM)syndrome characteristics were analyzed.Results A total of 602 patients were included.The tumor types included lung cancer,colorectal cancer,gastric cancer,esophageal cancer,breast cancer,gynecological tumors,lymphoma.The overall median hemoglobin(HGB)level was 99.00(88.00,107.00)g/L.The HGB levels of patients with different tumor types showed significant differences(P<0.001).The HGB levels of patients with gynecological tumors were significantly lower than those of patients with colorectal cancer,lung cancer and esophageal cancer(P<0.05).The most common clinical symptoms were fatigue,loss of appetite,irregular bowel movements and pain.In terms of anti-tumor treatment,405 patients were receiving multi-line anti-tumor treatment(including combined chemotherapy,combined radiotherapy,combined targeted therapy,and combined immunotherapy),197 patients were receiving symptomatic supportive treatment after multi-line anti-tumor treatment.In terms of anemia correction treatment,183 patients received erythropoietin,folic acid,iron,vitamin B12,or blood transfusion,while 293 patients received TCM for correcting anemia(including Chinese patent medicines,Chinese herbal decoctions,combinations of Chinese patent medicines and Chinese herbal decoctions).Specialized tests for anemia,such as serum iron,total iron binding capacity,transferrin saturation,transferrin,erythropoietin et al,have a detection rate of only 3.65%～27.91%.In terms of the characteristics of TCM syndromes,the main TCM syndrome types of the patients were as follows:syndrome of spleen-stomach weakness,syndrome of qi and blood deficiency,syndrome of heart-spleen deficiency,syndrome of spleen-kidney yang deficiency,syndrome of liver and kidney yin deficiency.Some patients also have the accompanying symptoms of internal binding of static blood and poison,phlegm dampness retention.Further comparison revealed that the HGB level of older patients with CRA who had syndrome of spleen-stomach weakness was significantly lower than patients with other symptom types(P<0.001).The HGB level of patients with syndrome of qi and blood deficiency was significantly lower than patients with syndrome of spleen-kidney yang deficiency(P<0.01)and syndrome of liver and kidney yin deficiency(P<0.001).Patients with symptoms of internal binding of static blood and poison,or symptoms of phlegm dampness retention had significantly lower HGB levels compared to those without accompanying symptoms(P<0.01).Conclusion The rate of specialized blood test for anemia in older patients with CRA was relatively low.The most common TCM syndrome types were syndrome of spleen-stomach weakness and syndrome of qi and blood deficiency.The overall treatment rate was also low.The screening,specialized diagnosis and monitoring of older patients with CRA need to be given more attention,and treatment methods such as TCM,Western medicine,and integrated TCM-Western medicine should be selected based on the patient's condition.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To explore the clinical characteristics and prognostic factors of patients with extranasal NK/T-cell lymphoma(NKTCL).Methods:The clinical data of 138 patients with NKTCL diagnosed in 10 medical centers of Huaihai Lymphoma Working Group from June 2015 to April 2021 were collected and analyzed retrospectively.The differences in clinicopathological characteristics of patients with different involvement and efficacy of pegaspargase regimen were compared,as well as perform survival analysis.Results:A total of 138 extranasal NKTCL patients were included,with a median age of 46 years,and the ratio of males to females was approximately 2∶1.There were 39 patients with gastrointestinal involvement,32 patients with oropharyngeal involvement,17 patients with skin involvement,11 patients with lymph node involvement,11 patients with orbital involvement,and 28 patients with other parts involvement.Patients with skin involvement had a higher proportion of advanced disease and a lower proportion of CD56 positive rate compared to those with oropharyngeal involvement.Among the patients with gastrointestinal involvement,the survival rate of patients who received pegaspargase regimen was significantly higher than those who were treated without pegaspargase(P＜0.01).Multivariate analysis showed that serum creatinine was an independent prognostic factor for patients with skin involvement(HR=1.027,95％CI:1.001-1.054,P=0.040),ECOG PS and EBV DNA were independent prognostic factors for patients with gastrointestinal involvement(HR=2.635,95％CI:1.096-6.338,P=0.030;HR=4.772,95％CI:1.092-20.854,P=0.038),and ECOG PS and CA stage were independent prognostic factors for patients with oropharyngeal involvement(HR=13.875,95％CI:2.517-76.496,P=0.002;HR=20.261,95％CI:2.466-166.470,P=0.005).Conclusion:The clinicopathological characteristics of extranasal NKTCL patients with different sites of involvement are vary,and effective individualized treatment need to be further explored.

Objective To explore the biomarkers and potential mechanisms of chronic restraint stress-induced myocardial injury in hyperlipidemia ApoE-/-mice.Methods The hyperlipidemia combined with the chronic stress model was established by restraining the ApoE-/-mice.Proteomics and bioinformatics techniques were used to describe the characteristic molecular changes and related regulatory mechanisms of chronic stress-induced myocardial injury in hyperlipidemia mice and to explore potential diagnostic biomarkers.Results Proteomic analysis showed that there were 43 significantly up-regulated and 58 sig-nificantly down-regulated differentially expressed proteins in hyperlipidemia combined with the restraint stress group compared with the hyperlipidemia group.Among them,GBP2,TAOK3,TFR1 and UCP1 were biomarkers with great diagnostic potential.KEGG pathway enrichment analysis indicated that fer-roptosis was a significant pathway that accelerated the myocardial injury in hyperlipidemia combined with restraint stress-induced model.The mmu_circ_0001567/miR-7a/Tfr-1 and mmu_circ_0001042/miR-7a/Tfr-1 might be important circRNA-miRNA-mRNA regulatory networks related to ferroptosis in this model.Conclusion Chronic restraint stress may aggravate myocardial injury in hyperlipidemia mice via ferrop-tosis.Four potential biomarkers are selected for myocardial injury diagnosis,providing a new direction for sudden cardiac death(SCD)caused by hyperlipidemia combined with the restraint stress.

Dynamic tracking analysis of monoclonal antibodies (mAbs) biotransformation in vivo is crucial, as certain modifications could inactivate the protein and reduce drug efficacy. However, a particular challenge (i.e. immune recognition deficiencies) in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen. To address this limitation, a multi-epitope affinity technology utilizing the metal organic framework (MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region (CDR) mimotope peptide (HH24) and non-CDR mimotope aptamer (CH1S-6T) onto the surface of MOF@Au nanocomposite. Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited significantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope affinity technology. Moreover, the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry (LC-QTOF-MS). Therefore, multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb. Particularly, the novel bioanalytical platform can be successfully used for the tracking analysis of trastuzumab modifications in different biological fluids. Compared to the spiked phosphate buffer (PB) model, faster modification trends were monitored in the spiked serum and patients' sera due to the catalytic effect of plasma proteins and relevant proteases. Differences in peptide modification levels of trastuzumab in patients' sera were also monitored. In summary, the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb, contributing to improved understanding and paving the way for future research and clinical applications.