Objective To investigate the effect of oral fish oil on wound healing and related indexes in patients with diabetic foot ulcer(DFU).Methods A randomized,double-blind,placebo-controlled design was used to recruit 68 patients with DFU aged 18-80 years old in the hospital,and the baseline clinical data of the patients were collected.The patients were randomly divided into experimental group(32 cases,fish oil soft capsule,3 g/d)and control group(33 cases,corn oil soft capsule,3 g/d)by random number generated by Ex-cel,and the intervention lasted for 12 weeks.The primary endpoints included the proportion of complete wound healing and healing area≥50%.The secondary endpoints included wound area,healing time,inflamma-tion index,glucose metabolism index,nutrition related index and wound reinfection.Additionally,the influen-cing factors of wound healing were analyzed.Results After intervention,the proportion of complete wound healing and healing area≥50%in the experimental group was significantly higher than that in the control group(P=0.007,0.039).In the subjects with complete wound healing,the mean healing time in the experi-mental group was shorter than that in the control group,but the difference was not statistically significant(P=0.132).The reduction area of wound area in the experimental group was significantly larger than that in the control group(P=0.045).The decrease of interleukin(IL)-6 and IL-8 in the experimental group was significantly higher than that in the control group(P<0.05).There was no significant difference in the reduc-tion of C-reactive protein(CRP),tumor necrosis factor-α(TNF-α),neutrophil-to-lymphocyte ratio(NLR),glycated hemoglobin A1c(HbA1c)and platelet-to-lymphocyte ratio(PLR)between the two groups(P>0.05).The improvement of prealbumin(PA)in the experimental group was higher than that in the control group,but the difference was not statistically significant(P>0.05).Multivariate logistic regression analysis showed that oral fish oil intervention(OR=6.771,95%CI:1.787-25.652),HbA1c(OR=4.149,95%CI:1.026-16.770)and ulcer type(OR=4.319,95%CI:1.026-18.173)were the influencing factors of wound healing(P<0.05).Conclusion Oral fish oil promotes wound healing in patients with DFU,which may be re-lated to improving the level of chronic inflammation in the body.

Objective To explore the differential diagnostic indicators of adult-onset Still's disease(AOSD)from other fever of unknown origin(FUO).Methods The clinical data and laboratory indicators of 177 AOSD patients and 163 FUO patients who were hospitalized in the First Affiliated Hospital of Army Medical University from January 2010 to May 2021 were collected,and the patients were randomly divided into training group and verification group.Statistically significant variables were extracted from univariate analysis for receiver operating characteristic(ROC)curve analysis and the best cut-off value of the variables was obtained.The differential diagnostic indicators were extracted by multivariate logistic regression analysis and nomogram model was constructed.ROC curve,calibration curve,and decision curve analysis were used to evaluate the accuracy and stability of nomogram.Results Univariate analysis revealed that there were significant differences in 4 clinical features(arthralgia,rash,pharyngeal pain,myalgia)and 14 laboratory parameters[white blood cell count(WBC),monocyte percentage,neutrophil percentage,lymphocyte percentage,platelet count,C-reactive protein,interleukin-6(IL-6),ferritin,globulin,immunoglobulin A,and immunoglobulin G(IgG),creatine kinase,creatinine and complement C3].Multivariate analysis suggested that arthralgia,WBC≥9.995×109/L,IL-6≥98.13 ng/L,ferritin≥507.37 ng/ml,globulin≤36.58g/L,IgG≤13.59g/L,complement C3≥1.27 g/L were related with AOSD.The area under curve(AUC)values of training group and verification group were 0.917(95%CI 0.883-0.951)and 0.869(95%CI 0.802-0.936),respectively.The calibration curves showed good consistency.The decision curve analysis showed that training group and verification group had a large positive rate of return in the wide risk range of 5%-85%and 10%-85%,respectively.Conclusions This study has established a relatively accurate AOSD differential diagnosis model.The combination of arthralgia,WBC,IL-6,ferritin,globulin,IgG and complement C3 may help to distinguish AOSD from other causes of FUO.

AIM To study the chemical constituents from the leaves of Cyanocarya paliurus(Batalin)Iljinskaja and their α-glucosidase inhibitory activities.METHODS The 95%ethanol extract from the leaves of C.paliurus was isolated and purified by macroporous resin,silica gel,Sephadex LH-20,polyamide,C18 reversed-phase silica gel and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their α-glucosidase inhibitory activities were evaluated by PNPG.RESULTS Fifteen compounds were isolated and identified as cyclopaloside C(1),cyclopaloside A(2),juglanosides E(3),vaccinin A(4),ent-murin A(5),kaempferol 3-O-α-L-rhamnopyranoside(6),kaempferol-3-O-β-D-glucopyranoside(7),kaempferol-3-O-β-D-glucuronide methyl ester(8),kaempferol-3-O-β-D-glucuronide ethyl ester(9),kaempferol-3-O-β-D-glucuronide butyl ester(10),quercetin-3-O-α-L-rhamnopyranoside(11)quercetin-3-O-β-D-glucopyranoside(12),quercetin-3-O-β-D-galactopyranoside(13),quercetin-3-O-β-D-glucuronide butyl ester(14),dihydrokaempferol(15).The IC50 value of total extracts ihibited α-glucosidase was(1.83±0.04)μg/mL,and the IC50 values of compounds 1,4-5 were(29.48±1.86),(0.50±0.07),(0.71±0.07)μmol/L,respectively.CONCLUSION Compound 1 is a new tetrahydronaphthalene glycoside.Compounds 4-5,8-10 and 14 are isolated from the leaves of C.paliurus for the first time.Compounds 4-5 are relatively rare flavonoid lignans with potential inhibitory activities against α-glucosidase.

Paroxysmal nocturnal hemoglobinuria (PNH) is an acquired clonal hematopoietic stem cell disease caused by abnormal expression of glycosylphosphatidylinositol (GPI) on the cell membrane due to mutations in the phosphatidylinositol glycan class A(PIGA) gene. It is commonly characterized by intravascular hemolysis, repeated thrombosis, and bone marrow failure, as well as multiple systemic involvement symptoms such as renal dysfunction, pulmonary hypertension, swallowing difficulties, chest pain, abdominal pain, and erectile dysfunction. Due to the rarity of PNH and its strong heterogeneity in clinical manifestations, multidisciplinary collaboration is often required for diagnosis and treatment. Peking Union Medical College Hospital, relying on the rare disease diagnosis and treatment platform, has invited multidisciplinary clinical experts to form a unified opinion on the diagnosis and treatment of PNH, and formulated the Expert Consensus of Multidisciplinary Diagnosis and Treatment for Paroxysmal Nocturnal Hemoglobinuria (2024), with the hope of promoting the standardization of PNH diagnosis and treatment.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To analyze the expression levels of the three different subtypes of peroxisome proliferator-activated receptors(PPARs),including PPAR-α,PPAR-β and PPAR-γ,in the ectopic lesion tis-sues of the patients with endometriosis(EMs)in order to provide new methods for this disease diagnosis.Methods The ectopic endometrial tissue samples from 30 patients with EMs treated by laparoscopic surgery in this hospital from April to December 2021 were selected as the experimental group,and the ovarian lesion tissue samples from 30 patients with mature cystic teratoma of the ovary(MCTO)during the same period treated by laparoscopic surgery were selected as the control group.The expression levels of PPAR-α,PPAR-βand PPAR-γ in lesion tissues were detected by using immunohistochemistry,and their expression differences between the experimental group and control group were analyzed.The receiver operating characteristic(ROC)curve was utilized to evaluate the diagnostic value of the ratios of PPAR-α/PPAR-β,PPAR-α/PPAR-γ,and PPAR-β/PPAR-γ for EMs.Results The expression levels of PPAR-α,PPAR-β and PPAR-γ in the lesion tis-sues of the experimental group were significantly higher than those of the control group(P＜0.05).In the pa-tients with EMs,PPAR-α was predominantly expressed(P＜0.05),whereas in the patients with MCTO,PPAR-γ was predominantly expressed(P＜0.05).In the ROC curve of PPAR-α/PPAR-β ratio for diagnosing EMs,when the cutoff value was 1.251,the area under the curve(AUC)was 0.65(95％CI:0.51-0.80),the sensitivity was 90.00％,and the specificity was 50.00％.In the ROC curve of PPAR-α/PPAR-γ ratio for diag-nosing EMs,when the cutoff value was 0.817,AUC was 0.88(95％CI:0.78-0.99),the sensitivity was 96.67％and the specificity was 80.00％.In the curve of the PPAR-β/PPAR-γ ratio for diagnosing EMs,when the cutoff value was 0.755,AUC was 0.91(95％CI:0.82-1.00),the sensitivity was 100.00％,and the speci-ficity was 86.67％.Conclusion The expression of PPAR-α in the ectopic lesion tissues of the patients with EMs is significantly higher than that of PPAR-β and PPAR-γ,while in lesion tissues of the patients with MC-TO,the PPAR-γ expression is predominant.The PPAR-β/PPAR-γ ratio may become a potential biomarker for diagnosing EMs.

Acute myocardial infraction(AMI)has now become a threat to human health worldwide.Therefore,it is urgent to construct the standardized platform of integrated traditional Chinese and western medicine diagnosis and treatment for AMI.The Intensive Care Unit(ICU)team of the Second Clinical Medical School of Guangzhou University of Chinese Medicine(Guangdong Provincial Hospital of Chinese Medicine)has taken up the mission of exploring the prevention and treatment of AMI with traditional Chinese medicine and promoting and the construction of the diagnosis and treatment system of integrated traditional Chinese and western medicine for AMI.The team pioneered the trinity mode of'saving heart,treating heart and nourishing heart'for AMI,focusing on the construction of standardized platform of integrated traditional Chinese and western medicine diagnosis and treatment for AMI,creating the key technology system of Yiqi Huoxue Huatan method(the therapy mainly for replenishing qi,activating blood and dissolving phlegm)for AMI and putting it into the practice,which highlighted the achievements in the construction of the standardized platform.

Objective To investigate the feasibility and value of a multi-parametric MRI radiomics-based nomogram model for pretreatment predicting the lymphovascular space invasion(LVSI)of endometrial endometrioid adenocarcinoma(EEA).Methods Preoperative MRI and baseline clinical characteristics of 205 EEA patients were prospectively collected from Oct 2020 to Jan 2022 in the Obstetrics and Gynecology Hospital,Fudan University,and randomly divided into training set(n=123)and validation set(n=82)in a 6∶4 ratio.The whole-tumor region of interest was manually drawn on T2-weighted imaging,diffusion-weighted imaging(apparent diffusion coefficient),and dynamic contrast-enhanced MRI,respectively,for radiomics features extraction.In the training set,univariate and multivariate Logistic regression analysis were used to select independent clinical predictors of LVSI(+)and construct the clinical model.The least absolute shrinkage and selection operator(LASSO)regression and multivariate Logistic regression analysis were used to select optimal radiomics features to form a radiomics signature.A combined nomogram model was established by integrating clinical independent predictors and the radiomics signature,and validated in the validation set.The predicting performance and clinical net benefit were evaluated by using the area under the receiver operating characteristic curve(AUC)and clinical decision curve analysis,respectively.Results Of the 205 EEA cases,144 cases were LVSI(-)and 61 cases were LVSI(+).Menopausal status,CA125,and CA199 were independent clinical predictors for the LVSI(+),and contributing to a clinical model with AUCs of 0.714(training)and 0.731(validation).From 8 240 extracted radiomics features,five were selected to construct a MRI radiomics signature after de-redundancy and LASSO dimensionality reduction,yielding AUCs of 0.860(training)and 0.759(validation).The combined nomogram model showed AUCs of 0.887(training)and 0.807(validation),outperforming others and achieving maximum clinical benefit in a large range of threshold probability in both training and validation sets.Conclusion The multi-parametric MRI-based nomogram model has the potential for pretreatment predicting the LVSI status of EEA,providing valuable information for clinical management decision-making and improving patient's clinical benefits.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.