Objective:To investigate the correlation between transabdominal bowel ultrasongraphy (TBUS) parameters and disease activity of ulcerative colitis (UC).Methods:The results of TBUS, endoscopy and laboratory tests of 68 UC patients (108 examinations) who visited the Department of Gastroenterology of the Second Hospital (Eastern Campus) of Hebei Medical University From January 2022 to February 2024 were retrospectively analyzed. According to Mayo endoscopic score (MES), there were 10 cases of remission (MES=0) and 98 cases of active phase (MES>0); patients in active phase further classified into 16 cases of mild (MES=1), 19 cases of moderate (MES=2), and 63 cases of severe (MES=3). The TAUS parameters were compared between patients in remission and active phases. Spearman rank correlation analysis was used to analyze the correlation between the TBUS parameters including bowel wall thickness (BWT), Limberg score, wall layer stratification, fat wrapping and endoscopic activity score, laboratory inflammatory indicators. Receiver operating characteristic curve (ROC) analysis was applied to evaluate the predictive efficacy of the TBUS parameters and laboratory inflammatory indicators in identifying remission under endoscopy. Independent sample t-test and Fisher′s exact probability method were used to compare the two groups. Results:The BWT of patients in remission was significantly thinner than that of patients in active phase ((2.99±0.41) mm vs. (5.66±1.57) mm, t=-5.34, P<0.001). The proportions of patients in remisson with Limberg score ≤2, normal wall layer stratification, and absence of fat wrapping were significantly higher than those of patients in active phase (10/10 vs. 34/98, 10/10 vs. 48/98, 10/10 vs. 41/98, Fisher′s exact test, P<0.001, =0.002, =0.001). BWT, Limberg score, wall layer stratification, and fat wrapping were positively correlated with MES ( r=0.676, 0.677, 0.441, and 0.493, all P<0.001). BWT and Limberg score were moderate positively correlated with C-hypersensitive reactive protein, erythrocyte sedimentation rate and fecal calprotectin (BWT: r=0.561, 0.420 and 0.458, all P<0.001; Limberg score: r=0.576, 0.469 and 0.403, all P<0.001), and were negatively correlated with serum albumin and hemoglobin (BWT: r=-0.604 and -0.453, both P<0.001; Limberg score: r=-0.573 and -0.532, both P<0.001). The results of ROC analysis showed that BWT achieved the best predictive efficacy in identifying endoscopic remission, and the best cut-off value was 3.45 mm (area under the curve was 0.972, 95% confidence interval: 0.944 to 1.000, P<0.001), with a sensitivity of 93.9% and specificity of 100.0%. Conclusions:TBUS parameters can accurately reflect disease activity in UC. It is a powerful tool for UC monitoring. The BWT<3.45 mm is the best cut-off value in prediction of endoscopic remission.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective:To investigate the correlation between transabdominal bowel ultrasongraphy (TBUS) parameters and disease activity of ulcerative colitis (UC).Methods:The results of TBUS, endoscopy and laboratory tests of 68 UC patients (108 examinations) who visited the Department of Gastroenterology of the Second Hospital (Eastern Campus) of Hebei Medical University From January 2022 to February 2024 were retrospectively analyzed. According to Mayo endoscopic score (MES), there were 10 cases of remission (MES=0) and 98 cases of active phase (MES>0); patients in active phase further classified into 16 cases of mild (MES=1), 19 cases of moderate (MES=2), and 63 cases of severe (MES=3). The TAUS parameters were compared between patients in remission and active phases. Spearman rank correlation analysis was used to analyze the correlation between the TBUS parameters including bowel wall thickness (BWT), Limberg score, wall layer stratification, fat wrapping and endoscopic activity score, laboratory inflammatory indicators. Receiver operating characteristic curve (ROC) analysis was applied to evaluate the predictive efficacy of the TBUS parameters and laboratory inflammatory indicators in identifying remission under endoscopy. Independent sample t-test and Fisher′s exact probability method were used to compare the two groups. Results:The BWT of patients in remission was significantly thinner than that of patients in active phase ((2.99±0.41) mm vs. (5.66±1.57) mm, t=-5.34, P<0.001). The proportions of patients in remisson with Limberg score ≤2, normal wall layer stratification, and absence of fat wrapping were significantly higher than those of patients in active phase (10/10 vs. 34/98, 10/10 vs. 48/98, 10/10 vs. 41/98, Fisher′s exact test, P<0.001, =0.002, =0.001). BWT, Limberg score, wall layer stratification, and fat wrapping were positively correlated with MES ( r=0.676, 0.677, 0.441, and 0.493, all P<0.001). BWT and Limberg score were moderate positively correlated with C-hypersensitive reactive protein, erythrocyte sedimentation rate and fecal calprotectin (BWT: r=0.561, 0.420 and 0.458, all P<0.001; Limberg score: r=0.576, 0.469 and 0.403, all P<0.001), and were negatively correlated with serum albumin and hemoglobin (BWT: r=-0.604 and -0.453, both P<0.001; Limberg score: r=-0.573 and -0.532, both P<0.001). The results of ROC analysis showed that BWT achieved the best predictive efficacy in identifying endoscopic remission, and the best cut-off value was 3.45 mm (area under the curve was 0.972, 95% confidence interval: 0.944 to 1.000, P<0.001), with a sensitivity of 93.9% and specificity of 100.0%. Conclusions:TBUS parameters can accurately reflect disease activity in UC. It is a powerful tool for UC monitoring. The BWT<3.45 mm is the best cut-off value in prediction of endoscopic remission.

Humans ; Cross-Sectional Studies ; East Asian People ; Psoriasis/epidemiology* ; Arthritis, Psoriatic/epidemiology* ; Registries ; Surveys and Questionnaires

Objective:To evaluate and summarize the best evidence for exercise intervention in patients with hypertension, and to provide the basis for clinical medical workers to manage hypertension.Methods:We searched UpToDate, BMJ Best Practice, the Cochrane Library, the International Guideline Collaborative Network to collect guidelines, systematic evaluation, and evidence summary. The retrieval time was from database establishment to June 1st 2022. Two researchers independently conducted literature quality evaluation and extracted evidence from the included literature.Results:A total of 13 articles were included, including 10 guidelines, 1 expert consensus and 2 Meta analysis. A total of 23 pieces of best evidence were collected, mainly involving 8 aspects, including exercise principles, exercise assessment, exercise environment, pre-exercise preparation, exercise program, post-exercise collation, tracking and review, exercise compliance.Conclusions:Exercise has a positive effect on improving blood pressure in patients with hypertension. The suggestions summarized in this study can be tried to guide clinical practice.

We report a case of a long-term survivor of heart transplant who developed severe COVID-19 and was treated with a traditional Chinese medicine combined with conventional medicine. Throughout the treatment， the patient received active conventional medical treatment， and traditional Chinese medicine interventions included tonifying qi， invigorating the spleen and transforming phlegm， promoting yang and eliminating stagnation， resolving dampness and dissipating phlegm， and promoting blood circulation and eliminating stasis. The main therapeutic principles adopted were to recuperating depleted yang and rescuing the patient from collapse and to resolve phlegm and promote water. Pogezilong Xuanbai Chengqi Decoction （破格子龙宣白承气汤） with modifications was administered. In summary， it is crucial to the timely adjust the immunosuppressive regimen， combine use of various anti-infective agents with a focus on COVID-19， to protect of cardiac and renal function， and to integrate traditional Chinese medicine in the entire treatment process. As this case is rare， the diagnostic and therapeutic methods in traditional Chinese medicine， the use of immunosuppressive agents， and follow-up monitoring strategies can be a valuable reference.

Background Essential and non-essential elements have an important impact on the development of the central nervous system during fetal development. Due to their less developed brain, preterm infants are more sensitive to element exposure, and are high-risk groups of neurodevelopmental abnormalities. However, it is not clear whether the effects of element exposure in utero on postpartum neurodevelopment are different between full-term infants and preterm infants. Objective To evaluate the effects of element exposure levels during pregnancy on neurodevelopment of children aged 6-24 months (of corrected age), and compare the effects between preterm and full-term children. Methods A prospective study design was adopted and this study was conducted based on the Maoming Birth Cohort Study (MBCS) in Maoming City, Guangdong Province. Twenty elements in cord blood of 197 preterm infants and 297 full-term infants were measured, including 11 essential trace elements [vanadium (V), chromium (Cr), manganese (Mn), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), selenium (Se), strontium (Sr), tin (Sn), and iron (Fe)], and 9 non-essential trace elements [aluminum (Al), arsenic (As), thallium (Tl), lead (Pb), uranium (U), cerium (Ce), antimony (Sb), cadmium (Cd), and yttrium (Y)]. The neurodevelopment of the children at 6, 12, and 24 months were evaluated by the Ages and Stages Questionnaires-the Third Edition (ASQ-3). A generalized estimating equation (GEE) model was adopted to evaluate the associations between elements and neurodevelopment in full-term and preterm children separately. Results The positive rates of 10 elements (Mn, Cu, Zn, Se, Sr, Fe, Sb, Tl, Pb, and As) in cord blood were greater than 80%. Among the preterm birth children, the results of GEE analysis showed that after adjusting for the covariates, for each increase of interquartile range (IQR) in ln-transformed concentration, As was associated with problems/delay in the communication and problem-solving sub-scales, with the adjusted odds ratios (OR) and 95% confidence intervals (CI) of 1.36 (1.03-1.80) and 1.55 (1.10-2.20), respectively; the adjusted OR (95%CI) of problems/delay in the fine motor and problem-solving sub-scales were 1.44 (1.00-2.07) and 1.76 (1.09-2.84) for Sb, respectively; the adjusted OR (95%CI) of problems/delay in the communication sub-scale was 1.37 (1.09-1.74) for Se. No statistically significant associations between umbilical cord blood element concentrations and neurodevelopment indicators were observed among full-term children. The results of stratified analysis by sex showed that the associations between umbilical cord blood element concentrations and neurodevelopment problems/delay were only significant among female preterm children. Conclusion Exposures to As, Se, and Sb during pregnancy may increase the risk of neurodevelopment problems/delay in preterm children aged 6-24 months, and female seem to be more vulnerable.

Microglia-mediated neuroinflammation is widely perceived as a contributor to numerous neurological diseases and mental disorders including depression. Discs large homolog 1 (Dlg1), an adaptor protein, regulates cell polarization and the function of K
Animals ; Depression/chemically induced* ; Inflammation ; Lipopolysaccharides/toxicity* ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; Microglia ; NF-kappa B ; Neuroinflammatory Diseases

Microglia-mediated neuroinflammation is widely perceived as a contributor to numerous neurological diseases and mental disorders including depression. Discs large homolog 1 (Dlg1), an adaptor protein, regulates cell polarization and the function of K