Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Objective:To investigate the level of serum lipoprotein a [Lp (a)] in patients with diffuse large B-cell lymphoma (DLBCL) and its clinical significance.Methods:A retrospective cohort study was performed. The clinical data of 87 patients with DLBCL who were treated at Changshu No.2 People's Hospital from January 2017 to June 2022 (the newly treated DLBCL group) were retrospectively analyzed, and 78 healthy physical examination subjects were selected as the control group. The level of Lp(a) in the two groups and the level of Lp(a) in DLBCL patients achieving different therapeutic effects after treatment were compared. The receiver operating characteristic (ROC) curve was used to analyze the efficacy of serum Lp(a) in predicting the therapeutic effect of DLBCL patients, and the area under the curve (AUC) was calculated to determine the optimal critical value. Based on the optimal critical value, patients with DLBCL were divided into low Lp(a) group and high Lp(a) group, and the clinicopathological characteristics of DLBCL patients with different Lp(a) levels were compared. Cox proportional hazards model was used to analyze the factors affecting the prognosis of DLBCL patients. Kaplan-Meier method was used to compare the relapse-free survival (RFS) and overall survival (OS) of DLBCL patients with different Lp(a) levels.Results:The level of Lp (a) in the newly treated DLBCL group was higher than that in the control group[ (0.24±0.09) g/L vs. (0.09±0.06) g/L], and the difference was statistically significant ( t = 3.61, P = 0.019). Among 87 patients, 54 achieved complete remission (CR), 23 achieved partial remission (PR), and 10 achieved progression of the disease (PD). The Lp (a) levels of patients achieving CR, PR, and PD were (0.09±0.09) g/L, (0.12±0.08) g/L, and (0.25±0.15) g/L, respectively. The Lp (a) levels in patients achieving CR and PR were lower than those in the newly treated DLBCL patients [(0.24±0.09) g/L], and the differences were statistically significant (all P < 0.05). There was no statistically significant difference in the Lp (a) levels between patients achieving PD and the newly treated DLBCL patients ( P > 0.05). The ROC curve results showed that the optimal critical value of serum Lp (a) in predicting the efficacy of DLBCL patients was 0.25 g/L, AUC was 0.776 (95% CI: 0.676-0.876, P < 0.05), and its sensitivity and specificity was 66.67%, 82.76%, respectively. According to the optimal critical value of Lp (a) (0.25 g/L), patients were divided into the low Lp (a) group (≤ 0.25 g/L) (57 cases) and the high Lp (a) group (>0.25 g/L) (30 cases). The proportion of patients with lactate dehydrogenase level >227 U/L, Ann Arbor stage Ⅲ-Ⅳ, and extranodal organ involvement >1 in the high Lp (a) group was higher than that in the low Lp (a) group, and the differences were statistically significant (all P < 0.05). Cox multivariate analysis results showed that Ann Arbor stage Ⅲ-Ⅳ, international prognostic index (IPI) score 3-5, and Lp (a)>0.25 g/L were independent risk factors for OS in DLBCL patients (all P < 0.05); Ann Arbor stage Ⅲ-Ⅳ and IPI score 3-5 were independent risk factors for RFS in DLBCL patients (all P < 0.05). The median OS in the low Lp (a) group was not reached; the median OS of the high Lp (a) group was 21 months, and there was a statistically significant difference in OS between the two groups ( P = 0.001). The median RFS time was not reached in the low Lp (a) group and the high Lp (a) group; and there was no statistically significant difference in RFS between the two groups ( P = 0.102) . Conclusions:Lp(a) level of DLBCL patients is increased, and Lp(a) could be a factor influencing the prognosis of DLBCL.

Objective:To investigate the association of white matter hyperintensities (WMHs) with long-term stroke recurrence in patients with recent subcortical small infarcts (RSSIs).Methods:Consecutive patients admitted to the Department of Neurology, Hefei Hospital Affiliated to Anhui Medical University between January 2019 and August 2022 and met the clinical and imaging manifestations of RSSIs were collected. The demographic characteristics, baseline clinical data, and MRI features were collected. Using stroke recurrence as the endpoint event, the recurrence time was recorded, and Cox regression model was used to analyze relevant factors affecting stroke recurrence in patients with RSSIs.Results:A total of 202 patients were enrolled, including 138 males (68.3%), aged 67.9±10.5 years. Seventy-seven patients (38.1%) were mild WMHs, 64 (31.7%) were moderate WMHs, and 61 (30.2%) were severe WMHs. There were statistically significant differences in age, history of stroke, hypertension, hyperlipidemia, total cholesterol, infarct thickness, and infarct distribution among different WMHs severity groups (all P<0.05). The median follow-up time was 40.5 months (interquartile range, 27.7-49.0 months), and a total of 55 patients (27.2%) had stroke recurrence (ischemic stroke 54, occipital hemorrhage 1). Recurrence rates of stroke in the mild, moderate, and severe WMHs groups were 18.2%, 31.3%, and 34.4%, respectively. Cox regression analysis showed that WMHs were an independent risk factor for stroke recurrence (compared to the mild group, the risk ratio of the severe group was 2.225, 95% confidence interval was 1.116-4.436; P=0.023). Conclusion:The risk of long-term stroke recurrence in patients with RSSI is associated with the severity of WMHs.

Objective:To explore the potential categories of post-traumatic stress disorder (PTSD) trajectories in women with multiple in vitro fertilization-embryo transfer (IVF-ET) failures, and to analyze the effects of different demographic characteristics and psychological factors on the potential categories of PTSD trajectories.Methods:This was a prospective empirical research, from May 2021 to October 2022, women with IVF-ET failure ≥ 2 times in the reproductive department of Shanghai First People′s Hospital from May 2021 to October 2022 were selected as the research objects. Post-traumatic stress disorder civilian version scale was used for 4 follow-ups at 3 d (T1), 10 d (T2), 20 d (T3) after the last transplantation failure and 3 d before the next transplantation cycle (T4). Telephone follow-up and online follow-up were combined to obtain the PTSD level at 4 time points. Potential categories of PTSD score trajectories at four time points were identified using a latent category growth model, and analyze influencing factors using unordered multi classification logistic analysis.Results:Totally 196 IVF-ET women were admitted, aged (29.42 ± 4.13) years. Three PTSD trajectories were fitted in this study, including 82 cases (42%) in non-PTSD group, 61 cases (31%) in mild PTSD group and 53 cases (27%) in elevated PTSD group. Logistic regression analysis showed that age, education level, fertility pressure and marital adjustment level were the predictors of PTSD trajectory in women with multiple IVF-ET failures. Compared with the non-PTSD group, women aged ≥35 years, with lower education level and marital adjustment level were more likely to enter the elevated PTSD group ( OR=4.570, 8.540, 0.949, all P<0.05). Women aged 35 years and with greater reproductive pressure were more likely to enter the mild PTSD group ( OR=3.871, 1.063, both P<0.05). Conclusions:There is group heterogeneity in the trajectories of PTSD in women with multiple IVF-ET failures in the next transplantation cycle. Old age, low education level, high fertility pressure and poor marital adjustment can predict the trajectories of PTSD. Fertility stress and marriage adjustment are changeable variables. Medical staff can relieve women′s fertility pressure through health education and mindfulness intervention, promote a good state of marriage adjustment, and minimize the adverse effects of PTSD on the next cycle of conception.

Objective:To investigate the application value of intraoperative motor nerve monitoring in cervical neurogenic tumor surgery.Methods:The efficacy of intraoperative neuromonitoring (IONM) was analyzed retrospectively in 18 patients, including 6 males and 12 females, aged from 15 to 74 years, treated in Affiliated Drum Tower Hospital, Medical School of Nanjing University from June 2019 to September 2022 who underwent total cystectomy of cervical neurogenic tumors under intraoperative nerve monitoring.Results:All 18 patients had complete tumor removal, including 8 patients with tumors from the vagus nerve and 10 patients with tumors from the brachial plexus nerve. Postoperative nerve functions were normal in patients with tumors from brachial plexus nerve, and incomplete vocal cord paralysis occurred in 2 patients with tumors from vagus vagus nerve. The total incidence of motor nerve injury was 11.1% (2/18). All patients were followed up for 6 to 45 months, with no tumor recurrence.Conclusion:Intraoperative neuromonitoring has significant values in surgery of cervical neurogenic tumors, which is helpful to remove completely the tumors on the basis of protecting the nerve functions to the maximum extent.

Klebsiella pneumoniae(KPn),as a conditioned pathogen that causes calf pneumonia,has caused serious harm to cattle industry,but the harm of Klebsiella pneumoniae to calves in Xin-jiang region is still unclear.In this study,to investigate the prevalence of KPn,its harm and some biological characteristics of pneumonia calves in Xinjiang,nasal swabs of pneumonia calves in some areas were collected aseptically,KPn isolation and identification were performed by routine meth-od,and 16S rDNA sequence evolutionary tree analysis was performed.The drug resistance was de-tected by K-B method,and a strain carrying multiple virulence was selected for mice median lethal dose test.The serotype,virulence gene and drug resistance gene of the strain were detected by PCR.The results showed that the detection rate of Klebsiella pneumoniae in nasal swabs of 218 pneumonia calves from Aksu,Changji and Yili regions of Xinjiang was as follows:14.68％(32/218),including 28.33％(17/60)in Aksu Prefecture,24.00％(6/25)in Changji Prefecture and 6.77％(9/133)in Yili Prefecture,they were divided into two serotypes,namely K1(7/32)and K5(5/32).A total of 13 KPn virulence genes were detected,mainly mrkD,ureA,wabG,uge and en-tB.LD50 was 2.38X 107cfu/mL.Drug susceptibility test and drug resistance gene detection showed that the isolated strain showed multiple drug resistance,and the resistance genes mainly carried blasHv and floR.16S rDNA sequence evolutionary tree results showed that the isolated strain had high homology with the isolates from Italy,Beijing and Shanghai of China.The detection rate of KPn in nasal swabs of pneumonia calves in Xinjiang region is high.The dominant serotypes are K1 and K5.The isolates carry a variety of virulence genes and have strong virulence.All of them are KPn strains producing ESBLs,suggesting that Klebsiella pneumoniae in Xinjiang region of China have a certain potential harm to calves.

Purpose To analyze the relationship between different molecular types and imaging manifestations of simultaneous bilateral breast cancer.Materials and Methods Eighty-one patients with simultaneous bilateral breast cancer confirmed by surgery and pathology in the Affiliated Hospital of Qingdao University from January 2016 to May 2022 were retrospectively analyzed,80 patients received mammography and 38 patients received MRI.Imaging features referred to the 5th edition of the breast imaging reporting and data system standards.Molecular typing was evaluated and classified according to the 2013 revised St.Gallen international expert consensus recommended the determination.The clinicopathological and imaging features of the index and contralateral breast cancer were compared,and the imaging features of different molecular types of the index and contralateral breast cancer were also compared.Results There were statistically significant differences in histological types and molecular typing between the index and contralateral cancers(x2=39.72,12.23,P＜0.05).Mammograph showed that the index cancer was mostly a mass(51.9％,40/77),while the contralateral cancer was mostly calcification(38.4％,28/73);the index cancer was mostly polymorphic calcification(68.8％,22/32),while the contralateral cancer was mostly amorphous calcification(45.2％,19/42)(x2=33.15,10.47,P＜0.05).There was a statistically significant difference in the MRI enhancement between the index cancer and the contralateral cancer(x2=6.79,P＜0.05).For contralateral cancer,mammograms showed statistically significant differences in the four molecular subtypes on tumor density,as well as MRI enhancement patterns,early enhancement degree,and time-signal intensity curve(x2=26.72,7.49,8.95,13.44,12.85,P＜0.05).There was a significant difference in the distribution of calcification among the four molecular subtypes on the X-ray of the first cancer(x2=20.15,P＜0.05).Conclusion The molecular typing and some imaging characteristics of simultaneous bilateral breast cancer are different,and some imaging characteristics can provide reference for predicting the molecular typing of simultaneous bilateral breast cancer.

Objective     To identify the preoperative risk factors for prolonged mechanical ventilation (PMV) after pulmonary thromboendarterectomy (PTE). Methods    The clinical data of patients who underwent PTE from December 2016 to August 2021 in our hospital were retrospectively analyzed. The patients were divided into two groups according to the postoperative mechanical ventilation time, including a postoperative mechanical ventilation time≤48 h group (≤48 h group) and a postoperative mechanical ventilation time>48 h (PMV) group (>48 h group). Univariable and logistic regression analysis were used to identify the preoperative risk factors for postoperative PMV. Results    Totally, 90 patients were enrolled in this study. There were 40 patients in the ≤48 h group, including 30 males and 10 females, with a mean age of 45.48±12.72 years, and there were 50 patients in the >48 h group, including 29 males and 21 females, with a mean age of 55.50±10.42 years. The results showed that in the ≤48 h group, the median postoperative ICU stay was 3.0 days, and the median postoperative hospital stay was 15.0 days; in the >48 h group, the median postoperative ICU stay was 7.0 days, and the median postoperative hospital stay was 20.0 days. The postoperative PMV was significantly correlated with tricuspid annular plane systolic excursion (TAPSE) [OR=0.839, 95%CI (0.716, 0.983), P=0.030], age [OR=1.082, 95%CI (1.034, 1.132), P=0.001] and pulmonary vascular resistance (PVR) [OR=1.001, 95%CI (1.000, 1.003), P=0.028]. Conclusion    Age and PVR are the preoperative risk factors for PMV after PTE, and TAPSE is the preoperative protective factor for PMV after PTE.

Objective:To establish a method for automatic determination of iodine level in salt by arsenic-cerium catalytic spectrophotometry using an iodine element detector (hereinafter referred to as this method), and to provide reference for in-depth study of salt iodine detection technology.Methods:This method was used to determine the iodine level in salt, and the linear range, detection limit, precision, and accuracy (determination of salt iodine standard substance GBW10006y and GBW10007y, and addition recovery experiment) of this method were determined. The iodine level of 35 salt samples was determined by this method and redox titration method recommended by the national standard, and the results were compared.Results:This method had a good linear relationship within the range of 50 - 600 μg/L standard curve, the absolute value of the correlation coefficients was > 0.999 0, and the detection limit was 5.0 mg/kg. The relative standard deviation of iodine concentration in salt samples with low, medium and high iodine concentrations were all < 6.0%. The determination results of salt iodine standard substance GBW10006y and GBW10007y were within the given value ranges; three iodine concentrations (6.0, 10.0 and 30.0 mg/kg) were added to the salt samples, with an average recovery rate of 96.7% to 105.0%, and a total average recovery rate of 100.9%. The method comparison experiment showed that there was no statistically significant difference between the salt iodine determination results of this method and the redox titration method ( t = - 1.54, P = 0.132). Conclusion:This method has the advantages of high accuracy, good precision and wide linear range in determining salt iodine, and is suitable for the detection of large quantities of samples in salt iodine monitoring.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress