Objectives:To investigate the clinical value of cardiac magnetic resonance imaging(CMR)feature-tracking strain analysis in risk stratification of diabetic heart failure with preserved ejection fraction(HFpEF).Methods:In this retrospective study,a total of 215 patients with diabetic HFpEF who underwent CMR at Chinese Academy of Medical Sciences Fuwai Hospital from January 2012 to December 2018 were included.Myocardial strain parameters were calculated using CMR feature-tracking technology.Patients were followed up by medical records or telephone calls.Composite endpoint event,all-cause death or heart failure hospitalization during follow-up were recorded.Patients were divided into event group and event-free group.Univariable and multivariable Cox proportional hazard regression analyses were performed to determine the risk factors for the outcomes in diabetic HFpEF.The effects of hypertension and obesity on the prognosis of diabetic HFpEF patients and whether they affect the prognostic value of CMR feature-tracking strain analysis were also analyzed.Results:During a follow-up of(7.1±1.8)years,93(43.3%)patients had endpoint events(event group),including 28 all-cause deaths and 65 heart failure hospitalization.Compared with the event-free group(n=122),patients in the event group had significantly lower left ventricular ejection fraction,higher prevalence and extent of late gadolinium enhancement,and significantly reduced global longitudinal strain(GLS),global circumferential strain,global radial strain,and global systolic longitudinal strain rate(all P<0.05).The absolute GLS value was significantly lower in event group than in event-free group,regardless of the presence of hypertension and obesity.Multivariate Cox regression analysis showed that estimated glomerular filtration rate(HR=0.983,95%CI:0.972-0.993,P=0.001),left atrial volume index(HR=1.015,95%CI:1.005-1.026,P=0.004),and GLS(HR=1.142,95%CI:1.060-1.231,P<0.001)were independent risk factors for adverse cardiovascular events in diabetic HFpEF patients.However,adjusted N-terminal pro-brain natriuretic peptide was not an independent prognostic factor.The cut-offvalue of GLS to predict outcome was-14.09%from ROC curve analysis.The Kaplan-Meier curve showed that in patients with and without hypertension and obesity,patients with the GLS>-14.09%had lower event-free survival compared to patients with GLS≤-14.09%(all P<0.05),and the ability of GLS to predict adverse outcomes was not affected by hypertension and obesity.Conclusions:GLS obtained by CMR feature-tracking strain analysis is an independent predictor of adverse outcomes in diabetic HFpEF,and its ability to predict adverse outcomes is independent of hypertension and obesity.

Objectives:To investigate the clinical value of cardiac magnetic resonance imaging(CMR)feature-tracking strain analysis in risk stratification of diabetic heart failure with preserved ejection fraction(HFpEF).Methods:In this retrospective study,a total of 215 patients with diabetic HFpEF who underwent CMR at Chinese Academy of Medical Sciences Fuwai Hospital from January 2012 to December 2018 were included.Myocardial strain parameters were calculated using CMR feature-tracking technology.Patients were followed up by medical records or telephone calls.Composite endpoint event,all-cause death or heart failure hospitalization during follow-up were recorded.Patients were divided into event group and event-free group.Univariable and multivariable Cox proportional hazard regression analyses were performed to determine the risk factors for the outcomes in diabetic HFpEF.The effects of hypertension and obesity on the prognosis of diabetic HFpEF patients and whether they affect the prognostic value of CMR feature-tracking strain analysis were also analyzed.Results:During a follow-up of(7.1±1.8)years,93(43.3%)patients had endpoint events(event group),including 28 all-cause deaths and 65 heart failure hospitalization.Compared with the event-free group(n=122),patients in the event group had significantly lower left ventricular ejection fraction,higher prevalence and extent of late gadolinium enhancement,and significantly reduced global longitudinal strain(GLS),global circumferential strain,global radial strain,and global systolic longitudinal strain rate(all P<0.05).The absolute GLS value was significantly lower in event group than in event-free group,regardless of the presence of hypertension and obesity.Multivariate Cox regression analysis showed that estimated glomerular filtration rate(HR=0.983,95%CI:0.972-0.993,P=0.001),left atrial volume index(HR=1.015,95%CI:1.005-1.026,P=0.004),and GLS(HR=1.142,95%CI:1.060-1.231,P<0.001)were independent risk factors for adverse cardiovascular events in diabetic HFpEF patients.However,adjusted N-terminal pro-brain natriuretic peptide was not an independent prognostic factor.The cut-offvalue of GLS to predict outcome was-14.09%from ROC curve analysis.The Kaplan-Meier curve showed that in patients with and without hypertension and obesity,patients with the GLS>-14.09%had lower event-free survival compared to patients with GLS≤-14.09%(all P<0.05),and the ability of GLS to predict adverse outcomes was not affected by hypertension and obesity.Conclusions:GLS obtained by CMR feature-tracking strain analysis is an independent predictor of adverse outcomes in diabetic HFpEF,and its ability to predict adverse outcomes is independent of hypertension and obesity.

Objective To compare the dosimetric disparities among static intensity-modulated radiotherapy(IMRT),volumetric modulated arc therapy(VMAT),and tomotherapy(TOMO)techniques in cervical cancer radiotherapy for providing data support for clinical decision-making scheme of radiotherapy.Methods The clinical data of 19 cervical cancer patients,treated at the Affiliated Cancer Hospital and Institute of Guangzhou Medical University from February to May in 2024,were analyzed.Three plans were devised for each case using IMRT,VMAT,and TOMO techniques,followed by dosimetric evaluation in terms of various metrics such as dose volume parameters of the target areas as well as organs-at-risk(OAR),conformity index(CI),homogeneity index(HI),and delivery time.Results All 3 plans met the clinical prescription requirements for the target areas.Compared with static IMRT and VMAT,TOMO had significantly lower Dmean and Dmaxof PCTV and PGTVnd.For OAR,TOMO demonstrated significant advantages over IMRT and VMAT in the Dmean of the bladder,the Dmean,Dmax,V30,V40of the rectum,the Dmean,Dmax,V20,V30of left and right femoral heads,and the Dmean,V20,V50of the pelvis(P<0.05).In addition,the TOMO group showed significantly higher CI for both PCTV and PGTVnd as compared with IMRT and VMAT groups,and lower PGTVnd HI than IMRT group(all P<0.05).Although there was trivial difference among 3 groups in term of PCTV HI,TOMO group performed slightly better than the other two groups.Notably,VMAT technique had the shortest treatment time.Conclusion In various treatment modalities for cervical cancer,TOMO is superior to IMRT and VMAT in terms of target dose coverage,OAR dose distribution,CI,and HI.However,VMAT has the highest efficiency.

Objective: To explore the risk factors of allogeneic blood transfusion during lung transplant surgery and prognostic effects of transfusion by analyzing the basic data, surgical details, laboratory tests results, and intraoperative blood transfusion details during the perioperative period of lung transplant, so as to guide clinical blood use. Methods: A retrospective analysis was conducted on the data of 319 patients who underwent lung transplantation surgery in our hospital from January 2022 to December 2023. The patients were divided into a non-transfusion group (n=70) and a transfusion group (n=249) based on their intraoperative blood transfusion status. The clinical data, surgical details, perioperative laboratory results and other relevant preoperative and postoperative parameters were compared between the two groups, and the postoperative prognosis (improvement, non-recovery, and death) was analyzed. Results: After comparison between the two groups of patients, it was found that the non-transfusion group had higher levels of preoperative Hb (g/L)(144.41±17.66 vs 129.78±20.44), preoperative Hct [43.25(40.23, 47.5) vs 40.7(37, 43.55)], preoperative TBIL (μmol/L)[11.45(9.15, 15.3)vs 9.9(6.88, 13.33)], and postoperative PLT (×10 /L)(167.74±64.43 vs 132.37±54.84) than the transfusion group (all P<0.05). The non-transfusion group had lower levels of preoperative pCO (mmHg)[41.4(37.4, 45.8)vs 45.3(40, 52.48)], postoperative TBIL (μmol/L)[25.45(17.68, 33.95)vs 30.8(21.55, 43.05)], postoperative pH (7.41±0.09 vs 7.45±0.10), bilateral lung transplantation [27(38.6%) vs 157(63.1%)], surgical duration (h) [5(4, 7)vs 6.5(5, 8)], use of ECMO [52(74.3%) vs 232(93.2%)], and intraoperative blood loss (mL)[600(500, 800)vs 1 000(800, 1 500)] compared to the transfusion group (all P<0.05). The items with P<0.1 in the compared indicators were included in the binary logistic regression analysis, and the results showed that bilateral lung transplantation, intraoperative blood loss, preoperative TBIL, postoperative PLT, postoperative TBIL, preoperative pCO2, and postoperative pH were significantly correlated with whether blood transfusion was performed (P<0.05). The P values of the Chi-square test for postoperative improvement and mortality in the non transfusion group and transfusion group were both greater than 0.05, indicating no statistically significant difference in the prognosis rate between the two groups of patients. Conclusion: Bilateral lung transplantation, intraoperative blood loss, preoperative TBIL, and preoperative pCO are risk factors for blood transfusion during lung transplantation. Intraoperative blood transfusion has a significant impact on postoperative PLT, postoperative TBIL, and postoperative pH indicators, but has no significant effect on prognosis. A comprehensive evaluation of laboratory indicators and surgical details can help developing blood transfusion strategies more effectively.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Objective To compare the dosimetric disparities among static intensity-modulated radiotherapy(IMRT),volumetric modulated arc therapy(VMAT),and tomotherapy(TOMO)techniques in cervical cancer radiotherapy for providing data support for clinical decision-making scheme of radiotherapy.Methods The clinical data of 19 cervical cancer patients,treated at the Affiliated Cancer Hospital and Institute of Guangzhou Medical University from February to May in 2024,were analyzed.Three plans were devised for each case using IMRT,VMAT,and TOMO techniques,followed by dosimetric evaluation in terms of various metrics such as dose volume parameters of the target areas as well as organs-at-risk(OAR),conformity index(CI),homogeneity index(HI),and delivery time.Results All 3 plans met the clinical prescription requirements for the target areas.Compared with static IMRT and VMAT,TOMO had significantly lower Dmean and Dmaxof PCTV and PGTVnd.For OAR,TOMO demonstrated significant advantages over IMRT and VMAT in the Dmean of the bladder,the Dmean,Dmax,V30,V40of the rectum,the Dmean,Dmax,V20,V30of left and right femoral heads,and the Dmean,V20,V50of the pelvis(P<0.05).In addition,the TOMO group showed significantly higher CI for both PCTV and PGTVnd as compared with IMRT and VMAT groups,and lower PGTVnd HI than IMRT group(all P<0.05).Although there was trivial difference among 3 groups in term of PCTV HI,TOMO group performed slightly better than the other two groups.Notably,VMAT technique had the shortest treatment time.Conclusion In various treatment modalities for cervical cancer,TOMO is superior to IMRT and VMAT in terms of target dose coverage,OAR dose distribution,CI,and HI.However,VMAT has the highest efficiency.

Objectives:To analyze the consistency of evaluating left ventricular hemodynamics (HDF) based on single plane and multi plane cine sequences of magnetic resonance mitral valve orifice.Methods:A prospective study was conducted on 48 healthy adults, and two methods were used to measure the mitral valve diameter and calculate HDF parameters. The first method was to measure the diameter of the mitral valve opening in the left ventricular three chamber cine sequence; The second method is to measure the mitral valve diameter using cine sequences of two chamber, three chamber, and four chamber hearts, and then take the average value. Paired t-tests were used to compare the differences in HDF measured by two methods, and Pearson correlation coefficient ( r), intra group correlation coefficient ( ICC), and Bland-Altman analysis were used to test the consistency and reproducibility of the two methods. Results:The root mean square (RMS) of longitudinal HDF calculated using single plane and multi plane mitral valve diameters were [(17.28±4.41)% vs (17.21±4.61)%] ( P=0.379) for the entire cardiac cycle, [(21.45±5.54)% vs (21.49±5.68)%] ( P=0.646) for systolic phase, and [(12.78±4.10)% vs (12.54±4.24)%] ( P=0.106) for diastolic phase, respectively. The difference in the calculation results of HDF parameters related to ventricular function was not statistically significant (all P>0.05), and there was good consistency ( r=0.924-0.996, ICC=0.924-0.995). The two HDF parameters related to atrial function were sensitive to the measurement method of mitral valve orifice diameter [RMS of longitudinal HDF during active atrial emptying: (3.26±1.51)% vs (3.32±1.55)%, P=0.006; longitudinal HDF pulse during active atrial emptying: (-2.60±1.28)% vs (-2.76±1.30)%, P<0.001]. Conclusions:The ventricular function related HDF parameters obtained from the analysis of mitral valve orifice diameter using single plane and multi plane methods have good consistency, and can be evaluated using relatively simple single plane methods for left ventricular HDF.

Objective To analyze the correlation between serum soluble Klotho protein(sKL)and tendino-C(TN-C)and the severity of disease and oxidative stress in children with immunoglobulin A(IgA)nephropa-thy.Methods A total of 85 children with IgA nephropathy admitted to the hospital from July 2019 to August 2022 were selected as IgA nephropathy group,and 85 healthy patients who underwent physical examination in the hospital during the same period were selected as healthy group.Serum sKL and TN-C levels were com-pared between the two groups.Receiver operating characteristic(ROC)curve was drawn to analyze the value of serum sKL,TN-C and their combination in predicting the occurrence of IgA nephropathy.IgA nephropathy group was divided into mild group(28 cases),moderate group(39 cases)and severe group(18 cases)accord-ing to 24 h urinary protein quantity.Serum sKL,TN-C levels and oxidative stress indexes[malondialdehyde(MDA),superoxide dismutase(SOD)and advanced oxidation protein product(AOPP)]of the three groups were compared.The correlation between serum sKL and TN-C levels and oxidative stress indexes was ana-lyzed by Spearman correlation,and the correlation between serum sKL and TN-C levels and the severity of IgA nephropathy in children was examined by Kendall's Tau-b.Results The serum sKL level in IgA ne-phropathy group was lower than that in healthy group,and the serum TN-C level was higher than that in healthy group,the difference was statistically significant(P＜0.05).ROC curve showed that the area under the curve and 95％CI of serum sKL,TNC and their combination predicted the occurrence of IgA nephropathy were 0.726(95％CI:0.648-0.803),0.853(95％CI:0.796-0.909)and 0.891(95％CI:0.845-0.937).The level of serum sKL in severe group was lower than that in moderate and mild groups,while the level of serum TN-C was higher than that in moderate and mild groups,and the difference was statistically significant(P＜0.05).The serum SOD level of severe group was lower than that of moderate group and mild group,and the serum AOPP and MDA levels were higher than those of moderate group and mild group,the difference was statistically significant(P＜0.05).Spearman correlation showed that sKL level was positively correlated with SOD(r＞0,P＜0.05),and negatively correlated with AOPP and MDA(r＜0,P＜0.05).TN-C level was negatively correlated with SOD(r＜0,P＜0.05),and positively correlated with AOPP and MDA(r＞0,P＜0.05).Conclusion The levels of serum sKL and TN-C in children with IgA nephropathy are related to the severity of disease and oxidative stress,and the combination of SKL and TN-C can effectively predict the occurrence of IgA nephropathy.

Objective To investigate the value of iterative decomposition of water and fat with echo asymmetry and least-squares(IDEAL-IQ)sequence in evaluating the correlation between renal ectopic fat deposition and early diabetic kidney disease(DKD)in patients with diabetes mellitus(DM).Methods A total of 51 patients with T1DM or T2DM were enrolled in this study from the Endocrinology and Metabolism Department in Affiliated Jinhua Hospital,Zhejiang University School of Medicine during January 2022 to July 2023.All the patients were divided into two groups according to the results of urine albumin creatinine ratio(UACR):normal or slightly increased urinary micro albumin group(NAU,UACR<30 mg/g,n=27)and diabetic kidney disease group(DKD,UACR 30～300 mg/g,n=24).Meanwhile,55 healthy subjects in health examination were selected as control group(NC).Pearson correlation analysis was used to analyze the correlation between renal FF and other indicators.Logistic regression analysis was used to analyze the influencing factors of early DKD,and the diagnostic efficiency of renal FF for early DKD was analyzed by the ROC curve.Results Serum creatinine(Scr)and renal fat fraction(FF)value were higher in DKD group than in NC and NAU groups(P<0.05).Pearson correlation analysis showed that kidney FF were positively correlated with UACR and Hcy(P<0.05).Logistic regression analysis showed that after adjusting for confounding factors,renal FF was a contributing factor to early DKD.The ROC curve revealed that model 2 had the highest diagnostic efficiency,with AUC=0.801,sensitivity of 66.7%,specificity of 85.2%,accuracy of 80.0%,and a renal FF cut-off value was 2.46%.Conclusion IDEAL-IQ could non-invasively measure the renal fat content in DM patients,and the renal FF were significantly associated with DKD in early stage.

Objective:To analyze the electroencephalogram (EEG) features of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), and to combine the characteristics for classification and prediction.Methods:One hundred and thirty-five patients attending the Department of Neurology at the General Hospital of Tianjin Medical University were enrolled, including 34 patients with AD, 67 patients with MCI, and 34 healthy control (HC). The electroencephalogram signals of these patients in the resting state were collected and preprocessed. Relative power spectral density features and sample entropy features on a multi-band scale were extracted to compare the whole-brain differences in electroencephalogram features among the 3 groups of subjects, and then subdivided into brain regions and individual leads for in-depth analysis. The above two features were fused to classify and predict AD, MCI, and HC by support vector machine (SVM).Results:The frontal regions had higher δ relative power spectral densities than the other regions, and the occipital and temporal regions showed relatively lower distributions. θ-Band relative power spectral densities had a more even distribution of sizes across brain regions. α-Band relative power spectral densities were concentrated in the occipital lobe, while β-band relative power spectral densities were mainly concentrated in the parietal and temporal lobes. Except for the central lobe, the δ-band relative power spectral densities of the AD group were higher than those of the MCI group ( P < 0.05) and HC group ( P < 0.01) in all brain regions and the whole brain. θ-band relative power spectral densities of the AD group were higher than those of the MCI gourp ( P < 0.001) and HC group ( P < 0.001) in the whole brain and in all brain regions. α-Band relative power spectral densities of the AD group were lower than those of the other groups only in the temporal lobe (all P < 0.05). The relative power spectral density of the β-band in the AD group was higher than that of the other groups in the whole brain and in all brain regions ( P < 0.05, 0.01, 0.001). The difference in the relative power spectral density of the δ-band in the C3 lead in the central lobe of the AD and HC groups was statistically significant ( P < 0.05). The relative power spectral density of the γ-band in the temporal lobe was higher than that in the other regions of the AD group, the MCI group, and the HC group. The relative power spectral density of the γ-band in the T3 lead in the AD group was significantly lower than that in the T4 lead. The average entropy of samples in the whole brain and in each brain region was lower than that in the HC group in the AD and MCI groups (all P < 0.05). The entropy of the samples at lead C3 in the AD group was lower than that in the MCI group ( P < 0.05). The differences between the relative power spectral density, sample entropy, and the actual data classification evaluation indexes (accuracy rate, precision rate, recall rate, and F1 score) that fused the two features, and the rearranged data were all statistically significant (all P < 0.001). When the relative power spectral density feature and the sample entropy feature were fused in the classification features, the best classification prediction was achieved, with an accuracy rate of 80%, a precision rate of 78%, a recall rate of 78%, and the F1 score of 79%. Conclusions:Relative power spectral density and sample entropy analysis can reveal the abnormalities of electroencephalogram activities of AD and MCI patients from different perspectives (linear and nonlinear), and the combination of these two features in classification prediction can improve the classification effect.