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.

Objective To evaluate the predictive value of prostate-specific antigen density(PSAD)and percentage of positive biopsy cores in identifying extraprostatic extension(EPE)of prostate cancer, so as to provide reference for clinical treatment decisions. Methods A retrospective analysis was conducted on the clinical data of 180 patients with localized prostate cancer who underwent radical prostatectomy at our hospital during Oct. 2019 and Apr. 2022. Variables were collected, including patients' age, number of positive biopsy cores, Gleason score, presence or absence of EPE, percentage of positive biopsy cores, total prostate-specific antigen(tPSA), PSAD, prostate volume(PV), body mass index(BMI)and approach of prostate biopsy(transrectal/transperineal). Binary logistic regression analysis was conducted to identify independent risk factors for EPE, and the diagnostic performance of these factors was evaluated using receiver operating characteristic(ROC)curve with calculation of the area under the curve(AUC). Results Among the 180 patients, 53(29.4%)were confirmed to have EPE based on postoperative pathological findings. Univariate logistic regression analysis revealed that the number of positive biopsy cores, Gleason score, percentage of positive biopsy cores, tPSA, and PSAD were significantly associated with EPE(P＜0.05). Multivariate logistic regression analysis demonstrated that PSAD(OR=6.008, P =0.007)and percentage of positive biopsy cores(OR=1.031, P=0.031)were independent predictors for EPE. ROC curve analysis showed that AUC for PSAD and the percentage of positive biopsy cores was 0.712 and 0.714, respectively. The combined ROC analysis yielded an AUC of 0.745. Conclusion Both PSAD and percentage of positive biopsy cores are independent predictors of extraprostatic extension of prostate cancer and demonstrate favorable predictive performance.

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 To evaluate the value of tripartite motif-containing protein 21(TRIM21)mRNA expression in alveolar macrophages for the serverity and prognosis of patients with severe pneumonia complicated by acute respiratory distress syndrome(SP-ARDS).Methods A retrospective analysis was conducted on 42 SP-ARDS patients(SP-ARDS group)and 15 outpatient healthy controls(control group)admitted to the Department of Respiratory and Critical Care Medicine,Jinling Hospital Affilicated to Medical School of Nanjing University,from November 2023 to June 2024.Bronchoalveolar lavage fluid was collected,and alveolar macrophages were isolated.The expression levels of TRIM21 mRNA were quantified using qPCR.Differences in TRIM21 mRNA expression levels,clinical characteristics,and relevant laboratory test results were compared between the two groups.Correlations between TRIM21 mRNA expression and SP-ARDS severity,28-day mortality,inflammatory indicators,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)scores,duration of mechanical ventilation,and ICU stay were analyzed using Pearson or Spearman correlation analysis.Logistic regression analysis was used to identify risk factors for 28-day mortality,and the predictive value of each factor was evaluated using receiver operating characteristic(ROC)curves.Results Compared with control group,the expression levels of TRIM21 mRNA,white blood cell counts,neutrophil-to-lymphocyte ratio(NLR),and C-reactive protein(CRP),and procalcitonin(PCT)levels increased(P<0.05),and hemoglobin levels decreased(P<0.05)in SP-ARDS group.No significant differences were observed in gender,age,smoking history,alcohol consumption,underlying disease history,and platelet count between the two groups(P>0.05).TRIM21 mRNA expression level in SP-ARDS patients was positively correlated with ARDS severity(P<0.05).Additionally,non-survivors within 28 days had a significantly higher expression level of TRIM21 mRNA compared to survivors(P<0.001).Correlation analysis indicated that the relative expression level of TRIM21 mRNA in SP-ARDS patients was positively correlated with CRP(r=0.309,P<0.05),NLR(r=0.422,P<0.01),PCT(r=0.561,P<0.001),APACHE Ⅱ score(r=0.615,P<0.001),and duration of mechanical ventilation(r=0.665,P<0.001).Logistic regression analysis revealed that elevated expression levels of TRIM21 mRNA(OR=2.886,P=0.043)and higher APACHE Ⅱ scores(OR=1.546,P=0.037)were independent risk factors for 28-day mortality in SP-ARDS patients.The areas under the ROC curves(AUCs)for predicting 28-day mortality using TRIM21 mRNA expression level and APACHE Ⅱ score were 0.889 and 0.874,respectively,with optimal cut-off values of 5.21 and 20.5 points,respectively.The combined AUC for prediction was 0.962.Conclusion Increased TRIM21 mRNA expression in alveolar macrophages of SP-ARDS patients is positively correlated with disease severity and may serve as a potential predictive marker for 28-day survival in SP-ARDS patients.

Objective To discuss the clinical value of flat head CT of two-way digital flat angiography system(DSA)in predicting symptomatic intracranial hemorrhage in patients with acute anterior circulation-large vessel occlusion cerebral infarction occurring within 24 hours after operation.Methods A total of 264 patients with acute anterior circulation-large vessel occlusion cerebral infarction,who were admitted to the Shanghai Changhai hospital to receive treatment from January 2020 to January 2023,were selected for this study.Mechanical thrombectomy was carried out in all the patients,and DSA flat head CT examination was performed 24 hours after operation.According to whether the postoperative DSA plate head CT scan showed high-density shadow or not,the patients were divided into observation group(showing high-density shadow,n=176)and control group(showing no high-density shadow,n=88).The clinical data,therapeutic regimen,and intracranial hemorrhage within 24 hours after operation were compared between the two groups.Taking head CT results as the standard,the clinical value of DSA flat head CT scan performed immediately after operation in predicting symptomatic intracranial hemorrhage occurring within 24 hours after operation was evaluated.Results Among the 264 patients with acute anterior circulation-large vessel occlusion cerebral infarction,118 patients developed intracranial hemorrhage within 24 hours after operation,including 24 patients(20.34％)having symptomatic intracranial hemorrhage.No statistically significant differences in clinical data and therapeutic regimen existed between the two groups(P＞0.05).The sensitivity,specificity and accuracy of DSA flat head CT scan performed immediately after operation in predicting intracranial hemorrhage occurring within 24 hours after operation in the observation group were 97.46％,58.22％and 75.76％respectively.The detection rate of symptomatic intracranial hemorrhage occurring within 24 hours after operation in the observation group was higher than that in the control group,the difference between the two groups were statistically significant(P＜0.05).The sensitivity,specificity and accuracy of DSA flat head CT scan performed immediately after operation in predicting symptomatic intracranial hemorrhage occurring within 24 hours after operation were 87.50％,57.48％and 40.15％respectively.The sensitivity,specificity and accuracy of DSA flat head CT scan in predicting the transformation of cerebral hemorrhage were 95.67％,63.12％and 80.23％respectively.Conclusion In patients with acute anterior circulation-large vessel occlusion cerebral infarction,who develop intracranial hemorrhage within 24 hours after mechanical thrombectomy,DSA flat head CT scan performed immediately after operation often shows high-density shadow,which is very helpful in predicting the risk of postoperative intracranial hemorrhage,the clinicians should make an early diagnosis and response to a possible symptomatic intracranial hemorrhage.

Objective To evaluate the clinical value of bedside ultrasonographic measurement of optic nerve sheath diameter(ONSD)combined with serum matrix metalloproteinase-9(MMP-9)and neutrophil-to-lymphocyte ratio(NLR)in assessing postoperative intracranial hypertension in patients with severe traumatic brain injury.Methods A total of 100 patients with severe traumatic brain injury were enrolled as study subjects.According to postoperative intracranial pressure status,the patients were divided into normal group(n=33)and elevated group(n=67).ONSD,MMP-9 and NLR lev-els were compared between the two groups.The correlations among ONSD,serum MMP-9 and NLR in the elevated group were analyzed.The influencing factors of postoperative intracranial hypertension in patients with severe traumatic brain injury were evaluated.Receiver operating characteristic(ROC)curve analysis was performed to assess the diagnostic value of ONSD combined with serum MMP-9 and NLR for postoperative intracranial hypertension.Results ONSD,serum MMP-9 and NLR levels were significantly higher in the elevated group than those in the normal group(P＜0.05).ONSD was positively correlated with MMP-9(r=0.367,P=0.002),ONSD was positively correlated with NLR(r=0.419,P＜0.01),and MMP-9 was positively correlated with NLR(r=0.324,P=0.007).Elevated ONSD,serum MMP-9 and NLR were risk factors for increased in-tracranial pressure after severe craniocerebral injury surgery(P＜0.05).The area under the curve for evaluation of postoperative intracranial pressure increase in patients with severe craniocerebral in-jury by combination of ONSD,serum MMP-9 and NLR was 0.976(95％CI,0.952 to 1.000),the sensitivity was 91.04％,and the specificity was 93.94％.The combined evaluation value of ONSD,serum MMP-9 and NLR for increased intracranial pressure after surgery in patients with severe craniocerebral injury was higher(Zcombined with-ONSD=3.453,P=0.001,Zcombined with-MMP-9=3.637,P＜0.001,Zcombined with-NLR=2.654,P=0.008).Conclusion In patients with increased intracra-nial pressure after severe craniocerebral injury surgery,their levels of ONSD,serum MMP-9 and NLR increase,and the increase of the three indicators will increase the risk of increased intracranial pressure after surgery.The combined detection of the three indicators has certain value in evaluating the increase of intracranial pressure in patients after surgery.

Hydronephrosis is a common urological disease,and pregnancy with hydronephrosis is also common.However,it is extremely rare that patients suffering from hydronephrosis after delivery cannot recover on their own.Moreover,due to the no specificity of clinical manifestations,it is easy to be ignored by clinicians.This paper reports a solitary kidney patient with severe dilatation and hydronephrosis of the kidney and ureter that were caused by late pregnancy,and the hydrops could not recover spontaneously after delivery.In addition,the methods of open surgery,ureteroscopy,and ureteral stent placement for many times in other hospital were ineffective for her.The purpose of this study is to improve the attention of clinicians to hydronephrosis during pregnancy and after delivery and provide the reference for clinical treatment.
Humans ; Female ; Hydronephrosis/etiology* ; Adult ; Pregnancy ; Solitary Kidney/complications* ; Pregnancy Complications ; Ureter

ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

Objective:To investigate the difference in intracranial infection rate between long-tunneled external ventricular drainage(LTEVD)and conventional external ventricular drainage(EVD),as well as the risk factors for intracranial infection.Methods:A retro-spective analysis was performed for the clinical data of 45 patients who were admitted to Department of Neurology Center,The Third Affiliated Hospital of Chongqing Medical University,from January 2020 to December 2022 and underwent EVD,among whom 13 patients underwent LTEVD(LTEVD group)and 32 patients underwent conventional EVD(EVD group).Related data were recorded for both groups,including general information,postoperative catheter-related complications,and postoperative management,to investi-gate the effect on reducing the rate of intracranial infection.According to the presence or absence of intracranial infection after surgery,the patients were divided into the infection group with 10 patients and non-infection group with 35 patients,and related clini-cal data were analyzed to investigate the risk factors for intracranial infection.Results:The LTEVD group had a significantly lower secondary infection rate of catheterization days than the EVD group[2.40‰(1/417)vs.27.19‰(9/331),P=0.009].The duration of catheterization was 14-85 days[27.00(22.50,36.50)days]in the LTEVD group and 8-22 days[9.00(8.00,11.50)days]in the EVD group,suggesting that the LTEVD group had a significantly longer duration of catheterization than the EVD group(P=0.000).The multivariate logistic regression analysis showed that the times of cerebrospinal fluid sampling was an independent risk factor for post-operative intracranial infection in patients undergoing EVD,and the use of LTEVD was a protective factor against intracranial infection after EVD.Conclusion:Compared with conventional EVD,LTEVD can safely prolong the duration of catheterization and reduce the rate of postoperative intracranial infection in patients undergoing EVD.The use of LTEVD procedure and the reduction in the times of cerebrospinal fluid sampling can reduce the risk of postoperative in-tracranial infection.

Adolescent idiopathic scoliosis(AIS)is a complex three-dimensional deformity involving coronal,sagittal,and axial planes,with a prevalence that should not be overlooked.With advancements in technology and in-depth research,an increasing number of hospitals and physicians are exploring standardized diagnostic and treatment approaches for AIS.Comprehensive and in-depth understanding is required for AIS,including its etiology,screening and diagnosis,classification,assessment and examination,treatment options,exploration of current focus,and evaluation of quality of life.Such understanding ensures that the diagnostic and treatment are scientific,standardized,and timely.Based on the principles of evidence-based medicine,a consensus on the diagnosis and treatment of AIS is reached after multiple discussions among spinal surgery experts,aiming to provide reference and guidance for clinical practice.