Objective To explore the value of CT signs and quantitative parameters of artificial intelligence (AI) in predicting the efficacy of neoadjuvant chemotherapy for colorectal cancer. Methods A total of 349 colorectal cancer patients who received neoadjuvant chemotherapy at Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine in Hebei Province from January 2022 to January 2025 were selected and and divided into the effective group (n = 267) and the ineffective group (n = 82) according to the evaluation criteria for the efficacy of solid tumors. Conduct a CT examination and extract AI quantitative parameters from the CT images based on the lesion. The data were analyzed using SPSS21.0 software, Logistic regression was used to screen the influencing factors of ineffective neoadjuvant chemotherapy in patients with colorectal cancer, and separate and combined models of CT signs and AI quantitative parameters were established. The predictive effect of the model was verified by using the ROC curve, calibration curve and decision curve. Results Compared with the effective group, the proportion of regular tumor morphology and the proportion of non-enlarged lymph nodesin the ineffective group were smaller. The tumor volume, peak value and entropy value were larger (P < 0.05). Multivariable analysis showed that irregular shape (OR= 4.216), presence of lymph node enlargement (OR = 8.998), larger tumor volume (OR = 1.109), higher average CT value (OR = 1.120), elevated peak value (OR = 2.528), and increased entropy value (OR = 1.390) were independent risk factors for ineffective neoadjuvant chemotherapy in colorectal cancer (P < 0.05). The areas under the ROC curves of the individual and combined models of CT signs and AI quantitative parameters were 0.777, 0.818, and 0.877, respectively(P < 0.05). The calibration curve showed a Brier score of 0.091. The decision curve showed that the threshold was between 0.10 and 0.85, and the combined model achieved a relatively high net clinical benefit. Conclusion CT signs combined with AI quantitative parameters has a predictive value for the efficacy of neoadjuvant chemotherapy in colorectal cancer. To provide evidence-based basis for clinical screening of the population benefiting from chemotherapy and optimization of treatment strategies.

The study was designed to investigate the peripheral anti-inflammatory effect of nicotinamide riboside(NR)in experimental autoimmune encephalomyelitis(EAE)mice and its mechanisms.Female C57BL/6 mice were induced by MOG35-55 to prepare EAE model,which then randomly divided into EAE model group and NR treatment group.Mice in EAE model group were given normal saline at a dose of 200 μl/d and mice in NR treatment group were given NR at a dose of 500 mg/kg(200 μl/d)by intragastric administration.Clinical score and body weight of mice in each group were observed and recorded.After mice were sacrificed on the 28th day after immunization,frozen sections of spleen and spinal cord were prepared and proteins of spinal cord were extracted.HE staining was used to detect peripheral inflammatory cells infiltrating spinal cord;immunofluorescence staining was used to detect the number of CD4+T cells and CD68+macrophages in spinal cord of mice;Western blot was used to detect the expression of IFN-γ and IL-1β in spinal cord of mice;immunofluorescence staining was used to detect the number of ROCK-Ⅰ+cells,TLR4+cells,p-NF-κB+cells,TNF-α+cells,IL-1β+cells,IFN-γ+cells,IL-6+cells,IL-10+cells,IL-17+cells,iNOS+cells and Arg-1+cells in spleen of mice.Data showed that compared with EAE model group,NR significantly delayed the onset time of EAE mice(P<0.05),decreased clinical score(P<0.05 or P<0.01),alleviated weight loss,prevented peripheral inflammatory cells from infiltrating spinal cord,decreased the number of CD4+T cells and CD68+macrophages in spinal cord(P<0.01),down-regulated the expression of IFN-γ and IL-1β of spinal cord(P<0.05),inhibited the expression of ROCK-Ⅰ,TLR4 and p-NF-κB in spleen of mice(P<0.01),reduced the secretion of IFN-γ,iNOS,IL-6 and other pro-inflammatory factors in spleen(P<0.05 or P<0.01),and increased the secretion of anti-inflammatory factors Arg-1 and IL-10 in spleen(P<0.05 or P<0.01).In conclusion,NR can effectively alleviate the clinical symptoms of EAE mice and significantly reduce inflammatory response of peripheral and central nervous system,and its mechanism may be related to the inhibition of Rho/ROCK signaling pathway and TLR4/NF-κB signaling pathway in spleen of EAE mice.

Ischemia reperfusion (I/R) injury is caused by ischemic shock, cardiac arrest, resection and transplantation, and its mechanism is closely related to calcium overload. Mitochondrial calcium uniporter (MCU) is a highly selective calcium channel located in the mitochondrial inner membrane (IMM), mediating calcium ions into the mitochondrial matrix. The MCU complex with the MCU as the core plays an important role in maintaining calcium ion homeostasis and alleviating I/R injury in the heart, kidney, brain, liver and other organs. The mitochondria associated endoplasmic reticulum membranes (MAMs) is a key protein in this process.

Objective:To investigate the value of bone marrow plasma cell morphology in the diagnosis and prognosis of plasma cell myeloma (PCM).Method:Observational study.Collect the bone marrow morphology image reports and corresponding monoclonal protein (M protein) identification results of 1071 patients [629 males and 442 females, Median age 62 (29, 93) years] diagnosed with PCM in the outpatient and inpatient departments of Beijing Chaoyang Hospital affiliated to Capital Medical University from January 1, 2017 to February 28, 2022. Combined with Durie‐Salmon(DS) and International Staging System (ISS) of 427 patients diagnosed with PCM and overall survival time (OS) of 436, summarize the relevant plasma cell morphological characteristics. Statistical methods include chi-square test, Kruskal-Walls test, Spearman correlation analysis and Kaplan-Meier survival analysis.Result:The bone marrow morphology reports showed that the typical morphological features of peripheral blood in 573 patients with PCM included plasma cells (40.84%), immature granulocytes (30.89%), rouleaux formation in erythrocytes (68.94%) and nucleated red blood cells (8.55%). The types of bone marrow plasma cells in 1 071 patients diagnosed with PCM included 372 (34.73%) plasmablasts, 674 (62.93%)immature plasma cells, and 25 (2.34%) mature plasma cells. There is a significant positive correlation between the number of bone marrow plasma cells (proportion of nuclear cells) and the concentration of IgG and IgA type, from M protein identification( r=0.55, r=0.60, P<0.01). The proportions of M protein types in 1 071 patients with PCM from high to low were IgG (45.75%), IgA (23.53%), light chain (19.61%), IgD (4.76%), non-secretory (4.3%), biclonal (1.78%), IgE (0.19%), IgM (0.08%). The typical characteristics of the bone marrow plasma cells in various M protein types included clustered distribution, different cell body sizes, inclusions in the cytoplasm, binuclear, polynuclear, and abnormal nuclear. The proportion of plasmablasts in DSⅢ stage was 44.81% (164/366), higher than 21.57% (11/51) in DSⅡstage, and the difference was statistically significant(χ 2=10.2, P<0.05). There was a significant positive correlation between the number of bone marrow plasma cells and DS and ISS stages( r=0. 0.23, r=0.30, P<0.01). The median OS of the PCM patients in the plasmablasts group was significantly shorter than that in the immature plasma cells group [56.0 (23.0, 101.8) months vs 75.9(31.6, 121.5) months, HR=1.42,95% CI 1.05-1.91, P=0.02]. The median OS of the PCM patients in the group of tumor plasma cells burden≥37.5% was shorter than that of the tumor plasma cells burden<37.5% [75.9 (21.4, 122.6)months vs 81.3 (36.6, 108) months, HR=1.54,95% CI 1.14-2.07, P<0.05]. Conclusion:The morphology and tumor burden of bone marrow plasma cells provide an important basis for the diagnosis of PCM and can be used as a prognostic indicator for patients with PCM.

Objective:To describe the baseline characteristics of the subjects enrolled in the China Quantitative CT (QCT) big data program in 2018—2019.Methods:Based on baseline data from the Chinese health big data project from January 2018 to December 2019 from the eligible enrolled population, measurements of bone mineral density (BMD) and visceral adipose tissue (VAT) were performed using Mindways′ QCT Pro Model 4 system. The baseline data of age, gender, regional distribution, height, weight, abdominal circumference, blood pressure, blood routine and blood biochemical tests were analyzed. And the single factor analysis of variance (ANOVA) was used to check the age related trend of BMD and VAT in both genders.Results:After screening the inclusion exclusion criteria and outliers of the main indicators, 86 113 people were enrolled in the project. The enrollment rate was 92.47%, including 35 431 (41.1%) women and 50 682 (58.9%) men, and the ratio of men to women was 1.43. The mean age was (50.3±12.7) years in all the subjects, and it was (50.2±12.8) years and (50.4±12.5) years in men and women, respectively, and there was no statistical difference between the two genders ( P>0.05). Total of 43 833 people were enrolled in east China, it was the largest group by region (50.90%), it was followed by central China (16 434 people, 19.08%), and the number of people enrolled in Northeast China was the lowest (2 914 people, 3.38%). The rate of completing of health information indicators related to the main outcome of the study were all above 70%, and there were significant differences between men and women (all P<0.05). The mean BMD was (139.33±46.76) mg/cm 3 in women, (135.90±36.48) mg/cm 3 in men, which showed a decreasing trend with age in both gender (both P<0.001); the mean intra-abdominal fat area was (116.39±56.23) cm 2 in women, (191.67±77.07) cm 2 in men, and there was an increasing trend with age in both men and women (both P<0.001). Conclusions:There are gender differences in BMD and VAT measured by QCT with different age tendency, and there are gender differences in health information index. Regional factors should also be taken into account for regional differences in the inclusion of data.

Objective:To establish the normal reference value of lumbar bone mineral density (BMD) under quantitative CT (QCT) in Chinese healthy adult females and to explore the regional differences.Methods:Total of 35 431 healthy women who met the inclusion criteria of Chinese health quantitative CT big data program were selected in this study. The BMD of the central plane of L 1 and L 2 vertebrae was measured by Mindways′s QCT system, and the mean value was taken. One-way analysis of variance was used to compare the BMD differences of lumbar vertebrae in women of different ages and regions. The subjects were grouped by an age interval of 10 years, and the level of BMD in different regions of the same age group were compaired. Results:The peak BMD of Chinese healthy adult women appeared in the age group of 20-29 years (Northeast China(183.01±24.58) mg/cm 3, North China (188.93±24.80) mg/cm 3, East China (187.54±27.71) mg/cm 3, South China (186.22±33.72) mg/cm 3, Central China (176.33±24.91) mg/cm 3, Southwest China(182.25±28.00) mg/cm 3), and then it decreased with age. The level of BMD in different regions decreased with the age. Before the age of 70 years, BMD in Central and Southwest China was always at a low level((176.23±24.91) to (90.38±28.12) mg/cm 3, 182.25±28.00 to (88.55±25.68) mg/cm 3), lower than those in Northeast China ((183.01±24.58) to (99.69±27.85) mg/cm 3), North China ((188.93±24.80) to (95.89±26.12) mg/cm 3), East China ((187.54±27.71) to (95.65±27.86) mg/cm 3). After 70 years of age, BMD tended to be the same in different regions ( P>0.05). The BMD values in Central China and Southwest China were similar in the age group of 40-60 years ( P>0.05). The BMD values in the health adult femles in the age group of 60 years in different regions of Chinawere all lower than those of bone mass abnormality (all P<0.05). The detection rate of osteoporosis in females over 50 years was the highest in Southwest China (25.65%) and it was the lowest in North China (17.30%). Conclusions:This study establishes reference values of BMD under QCT in healthy Chinese women, which can be used as a reference basis for identifying women with low BMD who are at risk of osteoporosis. The BMD value is the lowest in Southwest China and the highest in South China.

Objective:To use quantitative computed tomography (QCT) technology to measure the bone mineral density of the spine of the Chinese healthy population, and to explore its correlation with hemoglobin and serum albumin.Methods:The data in this study came from the China Health Quantitative CT Big Data Project (China Biobank). The spine bone density was measured by using QCT Pro Image Analysis System and all cooperating centers used the European spine phantom (NO.145) for quality control. Total of 50 053 healthy persons who met the criteria for entry were selected as the research subjects. The subjects were divided into 7 groups according to age. The general data, spine bone density, serum albumin, hemoglobin of the subjects were collected. The single-factor analysis of variance, Pearson correlation analysis and multi-classification logistic regression model were applied to analyze the correlation between bone density and hemoglobin and serum albumin.Results:The bone mineral density of healthy people decreased with age ( P<0.05), and there were significant differences in hemoglobin, serum albumin and body mass index (BMI) among different age groups (all P<0.05). Linear correlation analysis showed that there were positive correlation between bone mineral density and hemoglobin in healthy males in different age groups ( r=0.086, 0.101, 0.076, 0.090, 0.072, 0.123, 0.100, all P<0.01). There were negative correlation between bone mineral density and hemoglobin in certain age groups in women (40-49 years group: r=-0.027; 70-79 yearsgroup: r=-0.077; both P<0.05). And corelation were found between bone mineral density and serum levels of albumin in certain age groups of healthy subjects (among men, 30-39 years group: r=-0.048; 40-49 years group, r=-0.027; 70-79 years group, r=-0.051; among women, 30-39 years group: r=-0.044; 40-49 years group, r=-0.042; 50-59 years group, r=-0.086; 70-79 years group, r=-0.070; all P<0.05). After adjusting for age and BMI, the multi-category logistic regression analysis showed that the hemoglobin level was protective factor of normal bone density ( OR=1.022, 95% CI:1.017-1.027) and decreased bone density ( OR=1.012, 95% CI:1.007-1.016) in healthy males, and the serum albumin was risk factor for normal bone density ( OR=0.926, 95% CI:0.905-0.948) and decreased bone density ( OR=1.006, 95% CI:0.951-1.011) in healthy women. Conclusion:There is a correlation between bone mineral density and hemoglobin and serum albumin in Chinese healthy population. Hemoglobin is a protective factor for bone mineral density in men, and serum albumin is a risk factor for bone mineral densityin women.

Objective: To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk factors. Methods: Subjects aged>18 years with complete clinical examination data from 149 hospitals and medical examination centers in China were included in this retrospective study. Two radiologists, who were not aware of the study design, independently evaluated the coronary angiography images of each subject to make CHD diagnosis. A deep learning model using convolutional neural networks (CNN) was used to label the fundus images according to the presence or absence of CHD, and the model was proportionally divided into training and test sets for model training. The prediction performance of the model was evaluated in the test set using monocular and binocular fundus images respectively. Prediction efficacy of the algorithm for cardiovascular risk factors (e.g., age, systolic blood pressure, gender) and coronary events were evaluated by regression analysis using the area under the receiver operating characteristic curve (AUC) and R² correlation coefficient. Results: The study retrospectively collected 51 765 fundus images from 25 222 subjects, including 10 255 patients with CHD, and there were 14 419 male subjects in this cohort. Of these, 46 603 fundus images from 22 701 subjects were included in the training set and 5 162 fundus images from 2 521 subjects were included in the test set. In the test set, the deep learning model could accurately predict patients' age with an R² value of 0.931 (95%CI 0.929-0.933) for monocular photos and 0.938 (95%CI 0.936-0.940) for binocular photos. The AUC values for sex identification from single eye and binocular retinal fundus images were 0.983 (95%CI 0.982-0.984) and 0.988 (95%CI 0.987-0.989), respectively. The AUC value of the model was 0.876 (95%CI 0.874-0.877) with either monocular fundus photographs and AUC value was 0.885 (95%CI 0.884-0.888) with binocular fundus photographs to predict CHD, the sensitivity of the model was 0.894 and specificity was 0.755 with accuracy of 0.714 using binocular fundus photographs for the prediction of CHD. Conclusion: The deep learning model based on fundus photographs performs well in identifying coronary heart disease and assessing related risk factors such as age and sex.
Humans ; Male ; Retrospective Studies ; Deep Learning ; Fundus Oculi ; ROC Curve ; Algorithms ; Risk Factors ; Coronary Disease/diagnostic imaging*

OBJECTIVE: To compare the efficacy and safety of postoperative analgesia with low-dose sufentanil combined with transversus abdominis plane (TAP) block and with sufentanil alone in promoting patients'recovery following laparoscopic hysterectomy. METHODS: Sixty patients undergoing laparoscopic hysterectomy in our hospital between September, 2016 and August, 2017 were randomly allocated into two equal groups. In group A, the patients were given postoperative analgesia with 1 μg/kg sufentanil, 9.96 mg tropisetronmesylate, and 200 mg flurbiprofen axetil (diluted with 0.9% NaCl solution to 100 mL, pumped at the rate of 2 mL/h) combined with TAP block; in group B, the patients received similar postoperative analgesia but at a higher dose of sufentanil (2 μg/kg) without TAP block. Visual analogue scale (VAS) was used to evaluate pain at 15 min and at 4, 8, 12, 24 and 48 h postoperatively, and the first off-bed time, the length of postoperative hospital stay and the incidence of postoperative nausea and vomiting (PONV) were recorded in all the patients. RESULTS: Compared with those in group B, the patients in group A had significantly lower VAS scores at 15 min, 4 h, 8 h, and 12 h postoperatively ( < 0.01) with also statistically shorter first off-bed time and postoperative hospital stay ( < 0.01). Two (6.7%) patients in group A had mild PONV, and 6 (20.0%) in group B had PONV (including 4 with mild and 2 with moderate PONV). CONCLUSIONS Lowdose sufentanil combined with TAP block is effective for postoperative analgesia after laparoscopic hysterectomy and helps to reduce the incidence of PONV and shorten the first off-bed time and postoperative hospital stay to promote the recovery of the patients.
Abdominal Muscles ; Analgesics, Opioid ; Female ; Humans ; Hysterectomy ; Laparoscopy ; Pain Measurement ; Pain, Postoperative ; Sufentanil

Objective: To analyze the heart rate changes and risk factors, as a result of high altitude. Methods: Retrospective analysis of echocardiographic data of plateau workers at a railway maintenance company from 2006 to 2013. The survival curve method was used to analyze the abnormal rate of the heart. Kaplan-Meier method and Cox proportional hazards regression model were used to analyze the influencing factors. Results: In the first occurrence of cardiac abnormalities, the main types of abnormalities were right atrium enlargement (53.47%) , right ventricle enlargement (17.36%) , and tricuspid regurgitation (16.67%) . Cox regression analysis showed that workplace altitude and first physical examination age are two influencing factors of cardiac abnormalities, and their relative risk was 1.661 and 1.039. At high altitudes (3 600~4 000 m) , nearly 40% of workers heart has not changed. But this adaptation does not observed in the ultra-high altitudes (≥4 000 m) . Conclusion There are individual differences in human adaptability to high altitude. We should take more stringent measures of health care for older people and those who work at more than 4000m. And we should abide by the rotation system for railways that are suitable for the plateau.