Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

AIM: To investigate the changes in serum levels of platelet-derived growth factor A(PDGFA), heme oxygenase 1(HMOX1)and suppressor of cytokine signaling 6(SOCS6)in patients with diabetic retinopathy(DR)at different stages, and their predictive value for prognosis. METHODS: Patients diagnosed with DR in Zibo No.148 Hospital from April 2023 to April 2024 were included as the study group, and patients with simple type 2 diabetes mellitus(T2DM)during the same period were included as the control group. DR patients were separated into non proliferative DR group(NPDR group)and proliferative DR group(PDR group)based on DR staging, and into good prognosis group and poor prognosis group based on prognosis. Enzyme-linked immunosorbent assay(ELISA)method was used to detect serum levels of PDGFA, HMOX1, and SOCS6, and Pearson method was performed to analyze their correlation with laboratory indicators. Multivariate logistic regression was used to explore the risk factors affecting poor prognosis in DR patients. Receiver operating characteristic(ROC)curves were plotted to explore the prognostic value of serum PDGFA, HMOX1, and SOCS6 levels for DR patients. RESULTS: Totally 128 DR patients(67 males and 61 females)with the mean age 50.65±8.57 y were included. The control group consisted of 120 T2DM patients(63 males, 57 females)with the mean age of 50.32±8.65 y. The NPDR group comprised 74 patients(39 males, 35 females)with mean age of 50.42±8.71 y; the PDR group included 54 patients(28 males, 26 females)with the mean age of 50.96±8.40 y; The good prognosis group comprised 81 patients(43 males, 38 females)with the mean age of 50.51±8.62 y; the poor prognosis group included 47 patients(24 males, 23 females)with the mean age of 50.89±8.48 y. Compared with the control group, the study group had significantly higher serum levels of PDGFA, HMOX1, and SOCS6(all P<0.05). The PDR group had significantly higher serum levels of PDGFA, HMOX1, and SOCS6 than the NPDR group(all P<0.05). The poor prognosis group had significantly higher serum levels of FBG, HbA1c, SOD, MDA, IL-6, TNF-α, PDGFA, HMOX1, and SOCS6 than the good prognosis group(all P<0.05). The serum PDGFA of DR patients was positively related to FBG, HbA1c, IL-6, and TNF-α levels(all P<0.05), HMOX1 was positively related to FBG, HbA1c, SOD, MDA, IL-6, and TNF-α levels(all P<0.05), and SOCS6 was positively related to FBG, IL-6, and TNF-α levels(all P<0.05). Elevated levels of serum PDGFA, HMOX1, SOCS6, and HbA1c were risk factors for the prognosis of DR patients(all P<0.05). The AUC values of serum PDGFA, HMOX1, and SOCS6 alone in predicting the prognosis of DR patients were 0.806, 0.822, and 0.826, respectively. The AUC of their joint prediction was 0.912, and the joint prediction was superior to individual prediction(Z joint-PDGFA=2.183, P=0.029; Z joint-HMOX1=2.308, P=0.021; Z joint-SOCS6=2.620, P=0.009). CONCLUSION: Serum PDGFA, HMOX1, SOCS6 are significantly correlated with DR staging and prognosis, all showing high predictive efficiency for the prognosis of DR patients, with certain clinical value.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

[Purpose]To investigate the acceptance and willingness-to-pay(WTP)of combined can-cer screening among rural residents in Shandong Province,and to analyze its influencing factors.[Methods]A face-to-face questionnaire survey was conducted among rural residents aged 40～70 in villages setected by cluster sampling from three counties(county level city or district)in Shan-dong Province.The questionnaire was developed using the method of double-bound dichotomous choice combined with open-ended questions in contingent valuation.The factors influencing inten-sity of WTP was analyzed with using single-factor and ordinary least squares regression models.[Results]A total of 962 subjects were surveyed.89.19％of the respondents were willing to accept cancer combined screening,and 62.00％were willing to pay part of the costs.The average of WTP was 963.67 CNY,which accounted for 32.12％of the total cost.The proportion of respon-dents who were willing to pay between 0～1 500 CNY was the highest(76.49％).In the multivariate analysis,age,sex and income had significant effects on the maximum payment of multi-cancer screening.[Conclusion]The acceptance of multi-cancer screening among rural residents in the study sites is high,but the willingness-to-pay is limited.The out-of-pocket payment for multi-can-cer screening should be controlled,and a co-payment mechanism among government,enterprises,social organizations and individuals should be explored.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

OBJECTIVES: This study aimed to compare the osteogenic performance differences of titanium surface coatings modified by dopamine or silanized graphene oxide, and to provide a more suitable modification scheme for titanium surface graphene oxide coatings. METHODS: Titanium was subjected to alkali-heat treatment and then modified with dopamine and silanization, respectively, followed by coating with graphene oxide. Control and experimental groups were designed as follows: pure titanium (Ti) group; titanium after alkali-heat treatment (Ti-NaOH) group; titanium after alkali-heat treatment and silanization modification (Ti-APTES) group; titanium after alkali-heat treatment and dopamine modification (Ti-DOPA) group; titanium with silanization-modified surface decorated with graphene oxide (Ti-APTES/GO) group; titanium with dopamine-modified surface decorated with graphene oxide (Ti-DOPA/GO) group. The physical and chemical properties of the material surfaces were analyzed using scanning electron microscopy (SEM), contact angle goniometer, X-ray photoelectron spectroscopy (XPS), and Raman spectrometer. The proliferation and adhesion morphology of mouse embryonic osteoblast precursor cells MC3T3-E1 on the material surfaces were observed by cell viability detection and immunofluorescence staining followed by laser confocal microscopy. The effects on the osteogenic differentiation of MC3T3-E1 cells were studied by alkaline phosphatase (ALP) staining, alizarin red staining and quantification, and real-time quantitative polymerase chain reaction. RESULTS: After modification with graphene oxide coating, a thin-film-like structure was observed on the surface under SEM. The hydrophilicity of all experimental groups was improved, among which the Ti-DOPA/GO group had the best hydrophilicity. XPS and Raman spectroscopy analysis showed that the modified materials exhibited typical D and G peaks, and XPS revealed the presence of a large number of oxygen-containing functional groups on the surface. CCK8 assay showed that all groups of materials had no cytotoxicity, and the proliferation level of the Ti-APTES/GO group was higher than that of the Ti-DOPA/GO group. Under the laser confocal microscope, the cells in the Ti-DOPA/GO and Ti-APTES/GO groups spread more fully. The Ti-DOPA/GO and Ti-APTES/GO groups had the deepest ALP staining, and the Ti-APTES/GO group had the most alizarin red-stained mineralized nodules and the highest quantitative result of alizarin red staining. In the Ti-DOPA/GO and Ti-APTES/GO groups, the expression of the early osteogenic-related gene RUNX2 reached a relatively high level, while in the expression of the late osteogenic-related genes OPN and OCN, the Ti-APTES/GO group performed better than the Ti-DOPA/GO group. CONCLUSIONS Ti-APTES/GO significantly outperformed Ti-DOPA/GO in promoting the adhesion, proliferation, and in vitro osteogenic differentiation of MC3T3-E1 cells.
Titanium/chemistry* ; Graphite/chemistry* ; Dopamine/chemistry* ; Animals ; Mice ; Osteogenesis ; Osteoblasts/cytology* ; Surface Properties ; Cell Proliferation ; Silanes/chemistry* ; Cell Adhesion ; Coated Materials, Biocompatible/chemistry* ; Cell Differentiation ; Alkaline Phosphatase/metabolism* ; Microscopy, Electron, Scanning

Objective This study aimed to compare the osteogenic performance differences of titanium surface coat-ings modified by dopamine or silanized graphene oxide,and to provide a more suitable modification scheme for ti-tanium surface graphene oxide coatings.Methods Tita-nium was subjected to alkali-heat treatment and then modified with dopamine and silanization,respectively,followed by coating with graphene oxide.Control and ex-perimental groups were designed as follows:pure titanium(Ti)group;titanium after alkali-heat treatment(Ti-NaOH)group;titanium after alkali-heat treatment and silanization modification(Ti-APTES)group;titanium after alkali-heat treatment and dopamine modification(Ti-DOPA)group;titanium with silanization-modified surface decorated with gra-phene oxide(Ti-APTES/GO)group;titanium with dopamine-modified surface decorated with graphene oxide(Ti-DOPA/GO)group.The physical and chemical properties of the material surfaces were analyzed using scanning electron micros-copy(SEM),contact angle goniometer,X-ray photoelectron spectroscopy(XPS),and Raman spectrometer.The prolifera-tion and adhesion morphology of mouse embryonic osteoblast precursor cells MC3T3-E1 on the material surfaces were observed by cell viability detection and immunofluorescence staining followed by laser confocal microscopy.The effects on the osteogenic differentiation of MC3T3-E1 cells were studied by alkaline phosphatase(ALP)staining,alizarin red staining and quantification,and real-time quantitative polymerase chain reaction.Results After modification with gra-phene oxide coating,a thin-film-like structure was observed on the surface under SEM.The hydrophilicity of all experi-mental groups was improved,among which the Ti-DOPA/GO group had the best hydrophilicity.XPS and Raman spec-troscopy analysis showed that the modified materials exhibited typical D and G peaks,and XPS revealed the presence of a large number of oxygen-containing functional groups on the surface.CCK8 assay showed that all groups of materials had no cytotoxicity,and the proliferation level of the Ti-APTES/GO group was higher than that of the Ti-DOPA/GO group.Under the laser confocal microscope,the cells in the Ti-DOPA/GO and Ti-APTES/GO groups spread more fully.The Ti-DOPA/GO and Ti-APTES/GO groups had the deepest ALP staining,and the Ti-APTES/GO group had the most alizarin red-stained mineralized nodules and the highest quantitative result of alizarin red staining.In the Ti-DOPA/GO and Ti-APTES/GO groups,the expression of the early osteogenic-related gene RUNX2 reached a relatively high level,while in the expression of the late osteogenic-related genes OPN and OCN,the Ti-APTES/GO group performed better than the Ti-DOPA/GO group.Conclusion Ti-APTES/GO significantly outperformed Ti-DOPA/GO in promoting the adhesion,proliferation,and in vitro osteogenic differentiation of MC3T3-E1 cells.