Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

The wide use of crystalline silicon solar cells in the field of new energy is an important boost for China to achieve the environmental protection goal as soon as possible. However, the production and manufacturing processes of these cells give rise to various occupational hazards at workplace, thus posing health risks to workers. This review provided an overview of production processes of crystalline silicon solar cells, the characteristics of occupational health hazards (productive dust; physical factors, productive toxicant) and proposed occupational protection suggestions.

The wide use of crystalline silicon solar cells in the field of new energy is an important boost for China to achieve the environmental protection goal as soon as possible. However, the production and manufacturing processes of these cells give rise to various occupational hazards at workplace, thus posing health risks to workers. This review provided an overview of production processes of crystalline silicon solar cells, the characteristics of occupational health hazards (productive dust; physical factors, productive toxicant) and proposed occupational protection suggestions.

Background/Aims: Metabolic syndrome is common in patients with acute pancreatitis and its components have been reported to be associated with infectious complications. In this post hoc analysis, we aimed to evaluate whether metabolic abnormalities impact the effect of immuneenhancing thymosin alpha-1 (Tα1) therapy in acute necrotizing pancreatitis (ANP) patients. Methods: All data were obtained from the database for a multicenter randomized clinical trial that evaluated the efficacy of Tα1 in ANP patients. Patients who discontinued the Tα1 treatment prematurely were excluded. The primary outcome was 90-day infected pancreatic necrosis (IPN) after randomization. Three post hoc subgroups were defined based on the presence of hyperglycemia, hypertriglyceridemia, or both at the time of randomization. In each subgroup, the correlation between Tα1 and 90-day IPN was assessed using the Cox proportional-hazards regression model. Multivariable propensity-score methods were used to control potential bias. Results: Overall, 502 participants were included in this post hoc analysis (248 received Tα1 treatment and 254 received matching placebo treatment). Among them, 271 (54.0%) had hyperglycemia, 371 (73.9%) had hypertriglyceridemia and 229 (45.6%) had both. Tα1 therapy was associated with reduced incidence of IPN among patients with hyperglycemia (18.8% vs 29.7%: hazard ratio, 0.80; 95% confidence interval, 0.37 to 0.97; p=0.03), but not in the other subgroups. Additional multivariate regression models using three propensity-score methods yielded similar results. Conclusions Among ANP patients with hyperglycemia, immune-enhancing Tα1 treatment was associated with a reduced risk of IPN (ClinicalTrials.gov, Registry number: NCT02473406).

Objective:To analyze the clinical characteristics of nail involvement in patients with pemphigus and the correlation between nail damage and the severity of pemphigus.Methods:The clinical data of 23 patients with pemphigus combined with nail damage admitted to the People′s Hospital of Xinjiang Uygur Autonomous Region from January 2011 to August 2019 were retrospectively analyzed, the manifestations of pemphigus combined with nail damage were summarized. The nail damage number of patients with pemphigus complicated with nail damage of different genders were analyzed, as well as the distribution of nail damage in nail and toenail. The titer of anti-desmocoglycoprotein(dsg) antibody was detected in all patients. The relationship between nail damage and disease severity and course in pemphigus patients was analyzed.Results:A total of 132 damage nails were found in 23 patients (14 males and 9 females) with pemphigus, including 66 nails in male, 66 nails in female, 82 nails and 50 toenails. There were 10 forms of nail damage, of which chronic paronychia was the most common. The number of damage nails between different genders in pemphigus patients was statistically significant (χ 2=9.183, P<0.001). The distribution of nail and toenail damage in pemphigus patients was statistically significant (χ 2=10.880, P<0.001). Of the 23 patients, only 3 were positive for dsg1 and 1 was positive for dsg3. There were 19 patients with both positive for dsg1 and dsg3. The titers of dsg1 and dsg3 were compared in 14 patients before and after nail damage. The results showed that the titers of anti-dsg antibody in pemphigus patients after nail damage were significantly higher than before. Thirteen of the 23 patients had nail damage at the time of the initial onset of pemphigus. The nail damage occurred from 6 weeks before the onset to 4 weeks after the onset. The nail damage occurred in 10 patients when the disease recurred. The nail damage occurred within 4 weeks before or at the same time with the blister. Conclusions:The number of damage nails per capita in female patients with pemphigus and nail damage was significantly higher than that in male patients, and nail damage was more common. The titers of anti-dsg antibody will be at a high level when pemphigus patients with nail damage, and the condition gets worse. Nail involvement is positive to the severity of the disease, and it can prolong the time of disease.

Objective:To evaluate the effect of invasive arterial blood pressure (IBP) monitoring on the prognosis of patients with sepsis.Methods:Patients with sepsis from the MIMIC-Ⅳ database were collected and divided into IBP and non-invasive blood pressure monitoring (NIBP) groups according to whether IBP monitoring was performed. Baseline variables that were considered clinically relevant or showed a univariate relationship with the outcome were entered into a multivariate logistic regression model as covariates.Propensity score matching(PSM) and inverse probability of treatment weighing(IPTW) were used to adjust confounders to ensure the robustness of findings.Subgroup analysis were conducted to evaluate the effect of differences in IBP onset and duration on outcome.Results:The 28-day mortality is lower in IBP group compared with NIBP group( OR=0.54, 95% CI 0.46-0.62, P<0.001), the conclusion maintain robust after PSM and IPTW.Then we conducted a series of logistic regression regarding to different initial IBP time(<24 h,24 h-48 h,>48 h) and the initial IBP time within 24 h showed the same results compared to primary outcoms( OR=0.42, 95% CI: 0.36-0.49, P<0.001). IBP duration varied (≤1day, ≤2days, ≤3days, ≤4days, >4days) all showed a statistically significant association with decreased 28-day mortality in the IBP group. Conclusions:IBP is associated with decreased 28-day mortality in patients with sepsis, and the optimal time of IBP is within 24 hours.

Objective:To investigate the influence of echinoside on the expressions of inducible nitric oxide synthase (iNOS) and transforming growth factor-β1 (TGF-β1) in renal tissues of diabetic nephropathy rats.Methods:A total of 60 male SD rats were randomly divided into the normal group, model group, glibenclamide group and low-, medium-, high-dose echinoside treatment group. the rat model of diabetic nephropathy was established through the streptozocin induction and the glibenclamide treatment was applied as control. After molding, glibenclamide group was given 5 mg/(kg?d) of glibenclamide, and low-, medium-, high-dose echinoside treatment group was given 50, 100 and 200 mg/(kg?d) of echinacoside solution. The normal group and model group were intragastrically given equal volume of normal saline. After 4 weeks, the change rate of body weight, kidney weight/body weight, blood glucose, serum TC, TG, BUN, SCR and 24 h urinary protein levels were measured, and the NO release concentration in renal tissue cell culture medium was measured, the renal pathology was observed by HE staining, the expression of iNOS and TGF-β1 proteins in renal tissues was detected by Western blotting.Results:Compared with the model group, the body weight of rats in the medium-dose group significantly increased ( P<0.05); the weight change rate and kidney weight/body weight of rat in the medium-, high-dose group significantly decreased ( P<0.05), and the NO release concentration in the medium-, high-dose group decreased ( P<0.05); the level of blood glucose, TC, TG, BUN, SCr, and 24-hour urinary protein in the low-, medium- and high-dose groups significantly decreased ( P<0.05), and iNOS in renal tissue of rats in the low-, medium- and high-dose groups was significantly lower ( P<0.05). Compared with the model group, the relative expression levels of TGF-β1 (1.35 ± 0.06, 1.15 ± 0.05, 0.91 ± 0.04 vs. 4.58 ± 0.09) and TGF-β1 (1.24 ± 0.04, 1.41 ± 0.05, 0.89 ± 0.04 vs. 3.04 ± 0.05) in the low-, medium- and high-dose groups significantly decreased ( P<0.05). Conclusions:The echinoside can prevent weight loss, reduce blood glucose and triglyceride, inhibit the production of NO in renal tissues, reduce the expression of iNOS and TGF-β1 among diabetic nephropathy rats. It has been proved to play a protective role in diabetic nephropathy pathological tissues.

Cell-Free Nucleic Acids ; blood ; Female ; Humans ; Mosaicism ; Placenta ; Pregnancy

Objective: To investigate the sleep quality at home and the influencing factors in patients with colorectal tumor after enterostomy. Methods: Using convenience sampling method, during March 2016 to December 2017 in Anhui Provincial Cancer Hospital wound and stoma outpatient, choose 276 patients with enterostomy (including temporary enterostomy and permanent enterostomy), using self-made general questionnaire ostomy, Pittsburgh Sleep Quality Index (PSQI) and self nursing competence scale to investigate them. Results: The total PSQI score of enterostomy patients was 6.39±4.07, among which 150 patients (57.0%) had poor sleep (PSQI>7). The score of the 7 dimensions of PSQI from high to low was sleep time (1.22±1.05), sleep time (1.12±0.98), subjective sleep quality (1.00 ±0.92), sleep disorder (1.02±0.95), sleep efficiency (0.95±0.43), daytime dysfunction (0.83±0.76), hypnotic drugs (0.25±0.24).There were statistically significant differences in sleep quality among patients with different ages (Z=-2.937), duration of stoma (t=3.450-3.896), types of stoma (t=3.998-4.011), whether or not they had a history of leakage within 1 month (t=3.454-6.774), whether or not they had bloating bags (t=3.230-4.001), stoma complications (t=2.976-3.582), enterostomy self-care knowledge (Z=-3.202, t=3.971) and nursing skills (t=3.061)(P<0.05). Conclusions The present study shows that the sleep quality of patients with enterostomy is generally poor, and targeted measures should be taken to reduce its incidence or to intervene in time.