Objective:To investigate associations of serum low-density lipoprotein cholesterol (LDL-C) with hematoma enlargement, early neurological deterioration (END), and outcome in patients with acute spontaneous intracerebral hemorrhage (ICH).Methods:"A multi-center registration study for spontaneous intracerebral hemorrhage in Inner Mongolia" (registration number: ChiCTR2000029494) database was used to include patients with ICH who completed their first head CT scan within 6 hours after onset, underwent blood lipid examination, CT follow-up within 24 hours of onset, and accurately measured hematoma volume using 3D Slicer software between June 2020 and September 2022. HE was defined as hematoma volume increasing >33% or >6 ml at 24 hours, or ventricular hematoma volume increasing ≥1 ml compared to the baseline. END was defined as an increase of ≥4 in the National Institutes of Health Stroke Scale (NIHSS) score from the baseline or death within 24 hours after onset. The follow-up was conducted at 3 months after onset, and the modified Rankin Scale score >2 was defined as poor outcome. Multivariate logistic analysis was used to determine the independent correlation between LDL-C and HE, END, and outcome. Results:A total of 338 patients with ICH were enrolled, including 206 males (60.9%). LDL-C was 2.39±1.22 mmol/L. Eighty-eight patients (26.0%) developed HE, 67 (19.8%) developed END, and 162 (47.9%) had poor outcome at 3 months. Multivariate logistic analysis showed that after adjusting for confounding factors, there was a significant independent negative correlation between LDL-C and HE (odds ratio 0.312, 95% confidence interval 0.208-0.467; P<0.001) and END (odds ratio 0.408, 95% confidence interval 0.275-0.606; P<0.001), but not with the outcome at 3 months. Conclusion:Lower LDL-C is associated with HE and END in patients with ICH, but not with the outcome.

Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.

Standardized Residency Training (SRT) in China is gradually maturing. To standardize the training quality in each training base, corresponding standards have been published with regular revisions to various indicators. However, some training bases and professional bases still face challenges such as inadequate awareness of qualified teaching resources, lack of precise regulations, and absence of standardized process assessment. Through years of cumulative in-depth interpretation of various assessment indicators and innovations based on the characteristics of laboratory medicine residents, the clinical laboratory base in Cancer Hospital, Chinese Academy of Medical Sciences is continuously improving the quality of teaching staff through a multi-level teacher qualification training mode and a strict assessment mechanism. Meanwhile, a comprehensive and effective training system has been established to ensure the smooth implementation of SRT tasks. In addition, a diversified lecture system and a standardized progressive assessment process have been established to enhance the overall clinical abilities of residents.

Ankylosing spondylitis (AS) combined with spinal fractures with thoracic and lumbar fracture as the most common type shows characteristics of unstable fracture, high incidence of nerve injury, high mortality and high disability rate. The diagnosis may be missed because it is mostly caused by low-energy injury, when spinal rigidity and osteoporosis have a great impact on the accuracy of imaging examination. At the same time, the treatment choices are controversial, with no relevant specifications. Non-operative treatments can easily lead to bone nonunion, pseudoarthrosis and delayed nerve injury, while surgeries may be failed due to internal fixation failure. At present, there are no evidence-based guidelines for the diagnosis and treatment of AS combined with thoracic and lumbar fracture. In this context, the Spinal Trauma Academic Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate the Clinical guideline for the diagnosis and treatment of adult ankylosing spondylitis combined with thoracolumbar fracture ( version 2023) by following the principles of evidence-based medicine and systematically review related literatures. Ten recommendations on the diagnosis, imaging evaluation, classification and treatment of AS combined with thoracic and lumbar fracture were put forward, aiming to standardize the clinical diagnosis and treatment of such disorder.

The acute combination fractures of the atlas and axis in adults have a higher rate of neurological injury and early death compared with atlas or axial fractures alone. Currently, the diagnosis and treatment choices of acute combination fractures of the atlas and axis in adults are controversial because of the lack of standards for implementation. Non-operative treatments have a high incidence of bone nonunion and complications, while surgeries may easily lead to the injury of the vertebral artery, spinal cord and nerve root. At present, there are no evidence-based Chinese guidelines for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults. To provide orthopedic surgeons with the most up-to-date and effective information in treating acute combination fractures of the atlas and axis in adults, the Spinal Trauma Group of Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field of spinal trauma to develop the Evidence-based guideline for clinical diagnosis and treatment of acute combination fractures of the atlas and axis in adults ( version 2023) by referring to the "Management of acute combination fractures of the atlas and axis in adults" published by American Association of Neurological Surgeons (AANS)/Congress of Neurological Surgeons (CNS) in 2013 and the relevant Chinese and English literatures. Ten recommendations were made concerning the radiological diagnosis, stability judgment, treatment rules, treatment options and complications based on medical evidence, aiming to provide a reference for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults.

Objective:To evaluate the clinical value of 5.0 T ultra-high filed MRI system in assessing intracranial arteries segments and vessel branchers.Methods:This study was a prospective study. Totally 40 consecutive healthy volunteers were recruited from Zhongshan Hospital, Fudan University from September 1, 2021 to November 30, and all participants who underwent either 3.0 T or 5.0 T time-of-flight MR angiography (TOF-MRA) in random order were divided into 3.0 T MR group and 5.0 T MR group with 20 volunteers for each group. Image quality was assessed by Likert 5 scoring systems and signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR),and score in visualization of intracranial arteries [middle cerebral artery (MCA) and its segments, anterior cerebral artery (ACA) and its segments, posterior cerebral artery (PCA) and its segments, lenticulostriate arteries (LA) and pontine artery (PA)] were assessed from 0 to 3 (≥2: good depiction of vessel segment). Quantitative indicators were compared between 2 groups using independent t test or Mann-Whitney U test. Results:Among the 40 subjects, there were 29 males and 11 females, aged 20-69 (50±12) years. SNR and CNR were both significantly higher in 5.0 T MR group than those in 3.0 T MR group (SNR: 187±9 vs 91±4, t=31.59, P<0.001; CNR: 156±7 vs 70±4, t=31.45, P<0.001), but there was no significant difference in subjective scores of image quality between the 5.0 T MR and 3.0 T MR groups [5.0 (4.0, 5.0), 5.0 (5.0, 5.0) points, respectively, Z=-1.23, P=0.218]. In the evaluation of cerebral arteries, the visualizations of the proximal and middle segments of MCA, ACA and PCA was better than those in the 3.0 T MR group, and there was no significant difference in the scores ( P>0.05), while the visualizations of proximal arteries in the 5.0 T MR group were significantly better than those in the 3.0 T MR group ( P<0.05). Furthermore, small vessel branches such as LA and PA in 5.0 T MR group were visualized better than those in 3.0 T MR group ( P<0.001). Conclusion:TOF-MRA by ultra-high filed 5.0-T provides an optimal choice in visualization of distal large arteries and small vessel branches, which could be useful for the diagnosis on cerebral vascular disease.

Speech feature learning is the core and key of speech recognition method for mental illness. Deep feature learning can automatically extract speech features, but it is limited by the problem of small samples. Traditional feature extraction (original features) can avoid the impact of small samples, but it relies heavily on experience and is poorly adaptive. To solve this problem, this paper proposes a deep embedded hybrid feature sparse stack autoencoder manifold ensemble algorithm. Firstly, based on the prior knowledge, the psychotic speech features are extracted, and the original features are constructed. Secondly, the original features are embedded in the sparse stack autoencoder (deep network), and the output of the hidden layer is filtered to enhance the complementarity between the deep features and the original features. Third, the L1 regularization feature selection mechanism is designed to compress the dimensions of the mixed feature set composed of deep features and original features. Finally, a weighted local preserving projection algorithm and an ensemble learning mechanism are designed, and a manifold projection classifier ensemble model is constructed, which further improves the classification stability of feature fusion under small samples. In addition, this paper designs a medium-to-large-scale psychotic speech collection program for the first time, collects and constructs a large-scale Chinese psychotic speech database for the verification of psychotic speech recognition algorithms. The experimental results show that the main innovation of the algorithm is effective, and the classification accuracy is better than other representative algorithms, and the maximum improvement is 3.3%. In conclusion, this paper proposes a new method of psychotic speech recognition based on embedded mixed sparse stack autoencoder and manifold ensemble, which effectively improves the recognition rate of psychotic speech.
Algorithms ; Databases, Factual ; Humans ; Psychotic Disorders ; Speech ; Speech Perception

Objective:To compare the perioperative complications and prognosis of intracorporeal and extracorporea lileal conduit urinary diversion(ICUD or ECUD)following robot-assisted radical cystectomy(RARC).Methods:The data of 95 patients who underwent RARC treatment in Nanjing Drum Tower Hospital from March 2016 to June 2019 were retrospectively analyzed. Among them, 37 underwent ICUD and 58 underwent ECUD. In the ICUD group, there were 32 males and 5 females, aged(68.0±7.8) years, body mass index (BMI) of (24.1±3.4) kg/m 2, American Society of Anesthesiologists(ASA)score of 1-2 in 4 cases(10.8%), ASA score of 3-5 in 33 cases(89.2%), preoperative hemoglobin of(126.5±14.2)g/L, albumin of(39.0±2.2)g/L, and C-reactive protein of 4.0(2.0-8.5) mg/L. In the ECUD group, there were 53 males and 5 females, aged(67.5±9.0)years, BMI of(24.2±3.6)kg/m 2, ASA score of 1-2 in 16 cases(27.6%), ASA score of 3-5 in 42 cases (72.4%) , preoperative hemoglobin of(129.0±12.4)g/L, albumin (38.2±3.1) g/L, and C-reactive protein of 4.9 (3.1-14.4) mg/L. There was no significant difference in preoperative data between the two groups ( P>0.05). The two groups underwent RARC and pelvic lymph node dissection similarly. The ICUD group underwent a total intracorporeal ileal conduit and the ECUD group underwent extracorporeal ileal conduit with direct vision through a median incision in the lower abdomen.There were 32 cases (86.5%) and 46 cases (79.3%) undergoing expanded pelvic lymph node dissection in the ICUD group and the ECUD group respectively, and the difference was not statistically significant ( P=0.374). The complications were graded according to the Clavien-Dindo grading system. The perioperative complications and prognosis of the two groups were compared. Results:The operation time of the ICUD group and the ECUD group were (430±63) min vs. (410±69) min, respectively ( P=0.163). The estimated blood loss were (435±233) ml vs. (388±277) ml, respectively ( P=0.182). Intraoperative blood transfusion were 10 cases (27.0%) and 12 cases (20.7%)( P=0.475). None of the above differences were statistically significant. Postoperative albumin of the ICUD group and the ECUD group were (31.5±2.4) g/L vs. (31.0±2.8) g/L ( P=0.387), postoperative C-reactive protein were 30.9 (10.4-52.1) mg/L vs.29.5 (14.4-58.5) mg/L ( P=0.655) and postoperative hemoglobin were (110.0±13.8) g/L vs. (113.7±13.4) g/L ( P=0.187). The postoperative feeding recovery were 4(3-5) d vs. 4(3-5) d ( P=0.752) and the postoperative hospital stay were 13(10-19) d vs. 13(11-18) d ( P=1.000). There was no statistically significant difference in perioperative data. The postoperative pathological examination results of ICUD group and ECUD group showed that there were 17 cases (45.9%) vs.19 cases (32.8%) in T a/T 1/Tis stage, 12 cases (32.4%) vs. 18 cases (31.0%) in T 2 stage, 5 cases (13.5%) vs. 19 cases (32.8%) in T 3 stage, 3 cases (8.1%) vs. 2 cases (3.4%) in T 4 stage, respectively and the difference was not statistically significant( P=0.166). The number of lymph nodes removed were (18.2±6.7) vs.(16.5±7.9)( P=0.178) and the number of patients with positive lymph nodes were 6(16.2%) vs.11(19.0%), respectively( P=0.733). None of the patients had positive margins. There was no statistically significant difference in pathological examination overall. There were 14 cases (37.8%) in the ICUD group and 21 cases (36.2%) in the ECUD group experiencing complications within 30 days after operation and the difference was not statistically significant( P=0.872). The complications within 90 days after operation were 14 cases (37.8%) vs. 24 cases (41.4%) respectively and the difference was not statistically significant( P=0.731). Clavien-Dindo grade Ⅲ-Ⅴ complications in the two groups were 1 case (2.7%) vs.1 case (1.7%) respectively, with no significant difference ( P=0.849). One patient in the ICUD group developed an intestinal anastomotic leakage and underwent reoperation for repairing and 1 patient in the ECUD group developed mechanical intestinal obstruction and underwent reoperation. The rate of readmission within 90 days after operation of the ICUD group was lower than that of the ECUD group, but the difference was not statistically significant [3 cases (8.1%) vs. 11 cases (19.0%), P=0.090]. Postoperative follow-up was 13-53 months and the median follow-up of ICUD group and ECUD group were 19 months and 31 months respectively. There was no significant difference in the survival curve between the two groups( P=0.746). The 1-year survival rate was 91.9% in the ICUD group and 91.4% in the ECUD group. Routine re-examination of urinary system CT or B-ultrasound was performed 3 months, 6 months and 1 year after surgery. The incidence of ureteral dilatation/hydronephrosis in the ICUD group was lower than that of the ECUD group, with 4.1%(3 sides) vs. 14.7%(17 sides)( P=0.020). Conclusion:Compared with RARC+ ECUD, RARC+ ICUD does not increase the incidence of complications within 90 days after surgery and may reduce the risk of upper urinary tract dilatation.

Objective:To evaluate the prediction power of HIV infection risk assessment tool and the applicability in MSM in Guizhou province.Methods:MSM were recruited through snowball sampling method. Questionnaire surveys were conducted among the MSM using HIV infection risk assessment tool, and combined with HIV serologic test results, the risk prediction power of HIV infection risk assessment tool was evaluated.Results:A total of 3 379 MSM were recruited from January 2018 to December 2019 in Guizhou. The HIV infection rate was 3.3%(111/3 379). The mean risk scores of HIV positive and HIV negative MSM were (12.15±3.08) and (12.07±3.07), respectively. The difference in risk score was significant between MSM with different HIV status ( t=8.69, P<0.001). According to the principle of decision tree, individual risk scores were divided into following three categories: ≤11.96, 11.97-14.80 and >14.80, the HIV infection rate was 0.8%, 4.3% and 8.6% respectively, suggesting that the higher the individual risk score was, the higher the HIV infection rate was (trend χ 2=88.18, P<0.001). Multivariate logistic regression analysis showed that the higher the individual risk score was, the higher the risk of HIV infection was. Compared to the total score ≤11.96, the a OR values at total scores of 11.97-14.80 and >14.80 were 6.34 (95% CI: 3.38-11.88) and 14.07(95% CI: 7.44-26.61), respectively. The risk of HIV infection in Miao ethnic group was higher than that in Han ethnic group (a OR=1.83, 95% CI:1.04-3.21), and the risk of HIV infection in those with education level of primary school and below was higher than that in undergraduates or those with education level of junior college and above (a OR=2.50, 95% CI:1.06-5.88), and the risk of HIV infection was higher in those who had bisexual behaviors than in those who had homosexual behaviors (a OR=1.95, 95% CI:1.19-3.19). The risk of HIV infection was higher in those who had never received HIV testing (a OR=1.53, 95% CI:1.01-2.33). The area under the receiver operating characteristic (ROC) curve and area under ROC (AUC) for HIV infection prediction was 0.751 (95% CI:0.710-0.792, P<0.001). The maximum Youden's index was individual risk score of 12.56, and the sensitivity of the risk assessment tool was 0.838, and its specificity was 0.412. Conclusions:The results of HIV infection risk assessment tool in Guizhou indicated that in MSM the higher the individual risk score, the higher the risk of HIV infection is. The tool can be used to evaluate the risk of HIV infection in MSM, but the specificity should be improved.

With the rapid improvement of the perception and computing capacity of mobile devices such as smart phones, human activity recognition using mobile devices as the carrier has been a new research hot-spot. The inertial information collected by the acceleration sensor in the smart mobile device is used for human activity recognition. Compared with the common computer vision recognition, it has the following advantages: convenience, low cost, and better reflection of the essence of human motion. Based on the WISDM data set collected by smart phones, the inertial navigation information and the deep learning algorithm-convolutional neural network (CNN) were adopted to build a human activity recognition model in this paper. The K nearest neighbor algorithm (KNN) and the random forest algorithm were compared with the CNN network in the recognition accuracy to evaluate the performance of the CNN network. The classification accuracy of CNN model reached 92.73%, which was much higher than KNN and random forest. Experimental results show that the CNN algorithm model can achieve more accurate human activity recognition and has broad application prospects in predicting and promoting human health.
Algorithms ; Cluster Analysis ; Human Activities ; Humans ; Motion ; Neural Networks, Computer