Purpose: To intelligently diagnose whether there is bladder outlet obstruction (BOO) in female with decent detrusor contraction ability by focusing on urodynamic study (UDS) data. Materials and Methods: We retrospectively reviewed the UDS data of female patients during urination. Eleven easily accessible urinary flow indicators were calculated according to the UDS data of each patient during voiding period. Eight diagnosis models based on back propagation neural network with different input feature combination were constructed by analyzing the correlations between indicators and lower urinary tract dysfunction labels. Subsequently, the stability of diagnostic models was evaluated by five-fold cross-validation based on training data, while the performance was compared on test dataset. Results: UDS data from 134 female patients with a median age of 51 years (range, 27–78 years) were selected for our study.Among them, 66 patients suffered BOO and the remaining were normal. Applying the 5-fold cross-validation method, the model with the best performance achieved an area under the receiver operating characteristic curve (AUC) value of 0.949±0.060 using 9 UDS input features. The accuracy, sensitivity, and specificity for BOO diagnosis model in the testing process are 94.4%, 100%, and 89.3%, respectively. Conclusions The 9 significant indicators in UDS were employed to construct a diagnostic model of female BOO based on machine learning algorithm, which performs preferable classification accuracy and stability.

Polycystic ovary syndrome (PCOS) is a common disease among women of childbearing age, and hyperandrogenism (HA) is a typical clinical feature of PCOS patients. In recent years, research has found that HA is closely related to the liver function of PCOS patients, in addition to causing reproductive, endocrine, and metabolic disorders. This article provides a review from four aspects: the relationship between PCOS and HA, the impact of HA on liver function in PCOS patients, the mechanism of HA affecting liver function in PCOS, and the intervention of HA on improving liver function in PCOS. The aim is to further raise awareness of the multi system effects of HA on PCOS patients and provide a basis and approach for improving liver function and clinical prognosis in PCOS patients.

Hepatocellular carcinoma(HCC)is one of the most common malignancies with high morbidity and mortality rates worldwide.With the advances in molecular biology and tumor immunology,molecular-targeted agents represented by tyrosine kinase inhibitors(such as sorafenib and lenvatinib)and immunotherapy represented by PD-1/PD-L1 monoclonal antibodies have brought hope for patients with advanced HCC.The combination of immunotherapy and anti-angiogenic therapy can further improve the treatment outcome of patients.In addition,the optimization and integration of stereotactic body radiotherapy,local treatment,and systemic treatment may maximize the benefits of patients.In the future,through a deep understanding of the heterogeneity of HCC,the development of precision molecular subtyping and individualized treatment,and the establishment of a multidisciplinary collaborative diagnosis and treatment system,systemic therapy is expected to achieve long-term management of advanced HCC.This article reviews the current status and advances in systemic therapy for advanced HCC.

Objective:To investigate the correlation between serum albumin and hypoalbuminemia (HA) and the outcome after endovascular mechanical thrombectomy (EMT) in patients with stroke caused by acute anterior circulation large vessel occlusion.Methods:Stroke patients caused by acute anterior circulation large vessel occlusion received EMT treatment at the Department of Emergency Stroke, the Affiliated Hospital of Jining Medical University from June 2020 to August 2022 were retrospectively included. The demographic information, baseline clinical data, endovascular treatment parameters, and clinical outcomes of the patients were collected. HA was defined as serum albumin <35 g/L within 24 h of admission, and poor outcome was defined as the modified Rankin Scale score >2 at 90 d after onset. Multivariate logistic regression analysis was used to identify the independent influencing factors for poor outcomes. Results:A total of 177 patients were included, with a median age of 66 years, and 126 (71.19%) were males. Thirty-nine patients (22.03%) had HA, and 119 (67.23%) had poor outcomes. The proportion of pulmonary infection in the HA group was significantly higher than that in the non-HA group ( P<0.05). Multivariate logistic regression analysis showed that lower serum albumin (odds ratio [ OR] 4.102, 95% confidence interval [ CI] 1.316-16.451; P=0.028), postprocedural neurological deterioration ( OR 6.326, 95% CI 1.263-48.318; P=0.042) and pulmonary infection ( OR 5.873, 95% CI 1.028-24.452; P=0.018) were significantly independently associated with the poor outcomes. Conclusions:The HA group has a higher incidence of postprocedural pulmonary infection. Lower serum albumin, postprocedural neurological deterioration and pulmonary infection are the independent risk factors for the poor outcomes in patients with anterior circulation ischemic stroke who had successful recanalization after EMT.

Objective:To investigate the driving effect of prostate cancer associated transcript 4 (PCAT4) on the up-regulation of upregulator of cell proliferation (URGCP) expression in breast cancer progression through sponging miR-508-5p.Methods:The microarray data of lncRNA and miRNA with differential expression in breast cancer tissue were analyzed by Cancer Genome Atlas. The expression of PCAT4 in breast cancer was evaluated by real-time quantitative polymerase chain reaction (RT-qPCR). Cell proliferation was measured by MTT and colony formation, cell apoptosis was analyzed by TUNEL, and cell migration and invasion were analyzed by Transwell. The correlation between PCAT4 and miR-508-5p, and miR-508-5p and URGCP was analyzed by RNA pull-down and double luciferase assay. Tumor xenograft studies were performed to analyze the correlation between PCAT4/miR-508-5p/URGCP axis and breast cancer cell growth in vivo. Measurement data were expressed as mean ± standard deviation ( ± s). T-test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups. The correlation between PCAT4 and URGCP and miR-508-5p expression was evaluated by Pearson correlation analysis. Results:The expression level of PCAT4 was up-regulated in breast cancer tissues and cells. Knockout of PCAT4 inhibited cell proliferation and metastasis and promoted cell apoptosis. miR-508-5p was the target of PCAT4 and was negatively correlated with PCAT4. Overexpression of miR-508-5p in breast cancer can inhibit cell growth, migration and invasion, and promote cell apoptosis. URGCP is the target of miR-508-5p and induces progression of breast cancer. Tumor xenograft studies showed that PCAT4 drives breast cancer progression by affecting miR-508-5p/URGCP.Conclusion:The expression of PCAT4 is up-regulated in breast cancer tissues and cells, and PCAT4 can act as a molecular sponge of miR-508-5p, and significantly promote breast cancer progression by activating URGCP protein expression.

Objective:To explore the risk stratification value of HEART score combined with cardiac troponin (cTn) in emergency patients with chest pain.Methods:A total of 11 583 patients with chest pain who visited the Emergency Department of Zhongshan Hospital Affiliated to Fudan University from January to December 2019 were retrospectively collected. Patients who unfinished 0 h high-sensitivity cardiac troponin T (hs-cTnT) or electrocardiogram diagnosed ST-segment elevation myocardial infarction (STEMI) or lost to follow-up were excluded, and 7 057 patients were finally included. The final diagnosis of chest pain and the occurrence of major adverse cardiovascular events within 6 mon (6 m MACEs) were followed up by telephone and medical history. The HEART score of each patient was calculated by two attending physicians, and the patients were divided into the low-risk group (0-3 points), intermediate-risk group (4-6 points) and high-risk group (7-10 points) according to the final score. The risk stratification performance and safety of HEART score were observed and analyzed. A total of 1 884 patients who completed serial hs-cTnT tests were divided into groups according to HEART score (≤3 as low-risk group) and HEART score combined with serial hs-cTnT pathway (HEART score ≤3 and two hs-cTnT measurements <0.03 ng/mL as the low-risk group). The sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) of each diagnostic method were calculated to compare the diagnostic performance of the two predictive values.Results:The patients were divided into 3 groups by HEART score : 2 765 (39.2%) patients in the low-risk group, 3 438 (48.7%) in the intermediate-risk group, and 854 (12.1%) in the high-risk group. The incidence of 6 m MACEs in each group was 1.2%, 18% and 55.3%, respectively. When the low-risk threshold was 2, 23.1% of patients entered the low-risk group and the incidence of 6 m MACEs was 0.9%. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive performance of the HEART score for 6 m MACEs, and the final AUC was 0.831 ( P=0.006, 95% CI: 0.819-0.843). Regarding the occurrence of NSTEMI at the time of this visit, 4 (0.8%) patients were misdiagnosed by using the HEART score alone. Combined with serial troponin detection, the diagnostic SE and NPV were both 100%; at the same time, the diagnostic SE and NPV of 6 m MACEs in patients increased from 98.1% (95% CI: 96.9%-99.1%), 97.9% (95% CI: 96.2%-99%) to 99.1% (95% CI: 97.9%-99.7%) and 98.9% (95% CI: 97.4%-99.6%), the diagnosis SE and NPV of 6 m myocardial infarction and cardiac death in patients increased from 98% (95% CI: 96%-99.2%), 98.6% (95% CI: 97%-99.4%) to 99.2% (95% CI: 97.6%-99.8%) and 99.3% (95% CI: 98.1%-99.9%). Conclusions:The HEART score can be used for risk assessment in emergency patients with chest pain, and a threshold of 2 is recommended for the low-risk group. The diagnostic performance of HEART score combined with serial cTn is better than that of HEART score alone.

Objective:To investigate the clinical characteristics of patients with acute aortic dissection (AAD) through a retrospective and observational study, and to construct an early warning model of AAD that could be used in the emergency room.Methods:The data of 11 583 patients in the Emergency Chest Pain Center from January to December 2019 were retrospectively collected from the Chest Pain Database of Zhongshan Hospital Affiliated to Fudan University. Inclusion criteria: patients with chest pain who attended the Emergency Chest Pain Center between January and December 2019. Exclusion criteria were 1) younger than 18 years, 2) no chest/back pain, 3) patients with incomplete clinical information, and 4) patients with a previous definite diagnosis of aortic dissection who had or had not undergone surgery. The clinical data of 9668 patients with acute chest/back pain were finally collected, excluding 53 patients with previous definite diagnosis of AAD and/or without surgical aortic dissection. A total of 9 615 patients were enrolled as the modeling cohort for early diagnosis of AAD. The patients were divided into the AAD group and non-AAD group according to whether AAD was diagnosed. Risk factors were screened by univariate and multivariate logistic regression, the best fitting model was selected for inclusion in the study, and the early warning model was constructed and visualized based on the nomogram function in R software. The model performance was evaluated by accuracy, specificity, sensitivity, positive likelihood ratio and negative likelihood ratio. The model was validated by a validation cohort of 4808 patients who met the inclusion/exclusion criteria from January 2020 to June 2020 in the Emergency Chest Pain Center of the hospital. The effect of early diagnosis and early warning model was evaluated by calibration curve.Results:After multivariate analysis, the risk factors for AAD were male sex ( OR=0.241, P<0.001), cutting/tear-like pain ( OR=38.309, P<0.001), hypertension ( OR=1.943, P=0.007), high-risk medical history ( OR=12.773, P<0.001), high-risk signs ( OR=7.383, P=0.007), and the first D-dimer value ( OR=1.165, P<0.001), Protective factors include diabetes( OR=0.329, P=0.027) and coronary heart disease ( OR=0.121, P<0.001). The area under the ROC curve (AUC) of the early diagnosis and warning model constructed by combining the risk factors was 0.939(95 CI:0.909-0.969). Preliminary validation results showed that the AUC of the early diagnosis and warning model was 0.910(95 CI:0.870-0.949). Conclusions:Sex, cutting/tear-like pain, hypertension, high-risk medical history, high-risk signs, and first D-dimer value are independent risk factors for early diagnosis of AAD. The model constructed by these risk factors has a good effect on the early diagnosis and warning of AAD, which is helpful for the early clinical identification of AAD patients.

Objective:To explore the feasibility of mismatch of amide proton transfer weighted (APTw) imaging with diffusion weighted imaging (DWI) in evaluating ischemic penumbra (IP) in patients with wake-up stroke.Methods:A prospective study was performed; 96 patients with wake-up stroke and unilateral middle cerebral artery territory infarction admitted to Emergency Stroke Department, Affiliated Hospital of Jining Medical University from September 2020 to January 2023 were chosen. All patients underwent routine MRI, DWI, APTw imaging and 3D arterial spin labeling (3D-ASL) before treatment and 90 d after treatment. IP presence was defined as changes of abnormal signal on T2-fluid-attenuated inversion recovery (FLAIR) 90 d after treatment greater than 20% of high signal range on DWI before treatment, and it was used as the gold standard to compare the efficacy in evaluating whether the patients had IP based on mismatch of 3D-ASLwith DWI and mismatch of APTw imaging with DWI before treatment. The infarct core (IC) region, mismatch region of APTw imaging with DWI, mismatch region of 3D-ASL with APTw imaging were delineated on the fusion images in patients with IP based on mismatch of 3D-ASLwith DWI and mismatch of APTw with DWI, and the differences of APTw values in different regions were compared.Results:According to the 90-d follow-up results, 50 patients had IP and 46 patients did not have IP. Specificity, accuracy and sensitivity evaluating whether the patients had IP based on mismatch of 3D-ASL with DWI were 86.9%, 93.7% and 100.0%, respectively; specificity, accuracy and sensitivity evaluating whether the patients had IP based on mismatch of APTw imaging with DWI were 100.0%, 95.8% and 92.0%, respectively. The APTw max, APTw min and APTw ave values of the IC region were significantly lower than those of mismatch region of APTw with DWI, and the APTw max-min values of mismatch region of APTw imaging with DWI were significantly higher than those of mismatch region of 3D-ASL with APTw imaging ( P<0.05). Conclusion:APTw imaging can reflect the acidosis status of different brain regions in patients with wake-up stroke; specificity and accuracy evaluating whether the patients have IP based on mismatch of APTw imaging with DWI are higher than those based on mismatch of 3D-ASL with DWI.

Objective:To evaluate the effect of age factors on the pharmacodynamics of intranasal dexmedetomidine for sedation in the pediatric patients undergoing transthoracic echocardiography(TTE).Methods:American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ pediatric patients, aged 1-24 months, undergoing TTE from August 2019 to May 2022, were selected. This trial was performed in two parts. Part Ⅰ Pediatric patients were divided into 4 age groups: 1-6 month group, 7-12 month group, 13-18 month group and 19-24 month group. The initial dose of dexmedetomidine was 2.0 μg/kg in 0.1 μg/kg increment/decrement. The dose of dexmedetomidine was determined by using modified Dixon′s up-and-down method. The ED 50 and 95% confidence interval of intranasally administered dexmedetomidine for sedation were calculated by the Dexon-Massey method. Part Ⅱ One hundred patients were divided into 4 age groups ( n= 25 each): 1-6 month group, 7-12 month group, 13-18 month group and 19-24 month group. The 4 groups were further divided into 5 subgroups ( n=5 each) according to the dose of dexmedetomidine: 2.1 μg/kg subgroup, 2.2 μg/kg subgroup, 2.3 μg/kg subgroup, 2.4 μg/kg subgroup, and 2.5 μg/kg subgroup. Part Ⅰ and part Ⅱ trials were combined, and the ED 95 and 95% confidence interval of intranasally administered dexmedetomidine for sedation were calculated using the probit method. Results:A total of 220 pediatric patients were enrolled. There was no significant difference in ED 50 and ED 95 of dexmedetomidine intranasally administered for sedation among groups ( P>0.05). Conclusions:The pharmacodynamics of intranasal dexmedetomidine for sedation shows no significant difference in age in the pediatric patients aged 1-24 months undergoing TTE.

ObjectiveTo compare the retest reliability and discriminant validity of dynamic postural stability indices for functional ankle instability (FAI) obtained by different algorithms based on acceleration signals at different positions of human body. MethodsFrom April to June, 2021, 21 subjects with unilateral FAI and 21 subjects with normal ankle were recruited. Three inertial sensors were attached to the waist points, knee and ankle positions. The ground reaction force (GRF) and kinematics data of the subjects in multi-direction single leg landing test were collected synchronously by 3D force plate and inertial sensors. The unbounded third order polynomial (UTOP) fitting method was used to calculate the stability time, and the root mean square was used to caculate the stability index. ResultsMost of the indicators calculated based on acceleration signal correlated with that based on GRF with low coefficient (|r| = 0.116 to 0.368, P < 0.05). The stability time and stability index based on the acceleration signals of different positions of human body showed low to high retest reliability (CMC 0.30 to 0.91). For the females, among the stability time based on acceleration signal, eleven indexes achieved average to very high discriminant validity (AUC = 0.702 to 0.942, P < 0.05); eight of the stability indexes reached general level of discriminant validity (AUC = 0.717 to 0.782, P < 0.05). No algorithms achieved good discriminant effect in male subjects. ConclusionBased on the acceleration signal of waist point in single-leg landing stability test, the stability time calculated by UTOP algorithm can evaluate the dynamic postural stability of female FAI patients with high discriminant validity and medium to high retest reliability.