OBJECTIVE To confirm trigger items for adverse drug reaction （ADR） induced by bevacizumab， to identify and analyze the occurrence of related ADR， and to establish a predictive model for severe adverse reaction （SAR） caused by this drug. METHODS Based on the global trigger tool （GTT） theory， and referencing the GTT White Paper， drug package inserts and relevant literature， trigger items for bevacizumab-related ADR were confirmed using a single-round Delphi method. Utilizing these established items， electronic medical records of relevant patients at Guilin People’s Hospital from January 2020 to September 2024 were actively screened via the China Hospital Pharmacovigilance System. Pharmacists then identified and tallied the occurrence of bevacizumab-induced ADR. Data from patients with any positive trigger item served as the study subjects （divided into training and test sets at a ratio of 7∶3）， candidate feature variables were selected from 39 related variables using the Boruta algorithm， and the multivariable Logistic regression analysis was performed with the occurrence of SAR as the dependent variable. Based on these candidate features， Logistic Regression， Extreme Gradient Boosting， Light Gradient Boosting Machine， Random Forest， and Categorical Boosting models were constructed. Model performance was evaluated using metrics including the area under the curve （AUC） of receiver operating characteristic curve and recall rate. The Shapley Additive exPlanations （SHAP） method was applied to analyze and interpret the contribution of each variable. A nomogram was constructed based on the optimal model. RESULTS A total of 38 trigger items for active monitoring of bevacizumab-related ADR were determined， comprising 17 laboratory indicators， 13 clinical manifestations， and 8 intervention measures. In total， 483 patients with positive trigger items were included， and 318 patients with bevacizumab-induced ADR were identified， including 83 SARs. The positive predictive values for the trigger items and cases were 43.57% （708/1 625） and 63.84% （318/483）， respectively. Bevacizumab-induced ADR involved 7 systems/organs， with the hematological system being the most frequently involved （64.15%）. The Boruta algorithm selected 7 vari ables： serum potassium， hematocrit， albumin-to-globulin ratio， prealbumin， hypertension history， age and red blood cell count. Multivariable Logistic regression showed that elevated serum potassium levels were associated with a decreased risk of bevacizumab-induced SAR （OR＝0.234， P ＝0.002）， while a history of hypertension （OR＝2.642， P ＝0.006） and increased age （OR＝1.040， P ＝0.025） were associated with an increased risk. The Logistic Regression model demonstrated superior performance with higher AUC， F1 score and recall rate （0.761， 0.447， 0.607）， compared to other models. SHAP evaluation results indicated that variables such as serum potassium， hematocrit， and age ranked highest in importance. CONCLUSIONS Totally 38 trigger entries have been successfully identified for active screening of bevacizumab-related ADR. Elevated serum potassium levels are a protective factor against bevacizumab-induced SAR， whereas the hypertension history and increased age are risk factors. The Logistic Regression model is the optimal predictive model.

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 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 explore the optimal index of rotational displacement of femoral neck fractures by modeling the axial rotational displacement of femoral neck fractures after reduction and based on X-ray projections.Methods:Six dry human femur specimens, comprising 2 males and 4 females, were utilized in the study. Design and manufacture a proximal femur ortholateral and oblique X-ray casting jigs and mounts. The femoral neck fracture was modeled on the femoral specimen, with Pauwells 30°, 50°, and 70° models (2 each) made according to Pauwells typing. The fractures were manually repositioned with residual anterior 20°, 40° and 60° axial rotational displacements. Each fracture model was projected at different angles (pedicled 40°, pedicled 20°, vertical 0°, cephalad 20°, and cephalad 40°), and the trabecular angle and Garden's alignment index of the model were measured to observe the imaging characteristics of the fracture line on the medial oblique and lateral oblique radiographs.Results:In the presence of a 20° and 40° anterior rotational displacement following reduction of a femoral neck fracture, the trabecular angle in the rotationally displaced group was not significantly different from that of the anatomically repositioned group in various projection positions. However, when a residual rotational displacement of 60° was present, the trabeculae appeared blurred at most projection angles in the Pauwells 30° and 50° models, failing to measure trabecular angles. In the Pauwells 70° fracture model, the trabecular angle in the rotational displacement group was significantly different from that in the anatomical reduction group. In anteroposterior radiographs, when the anterior rotation displacement was 60° in the Pauwells 70° group, Garden's contralateral index showed an unsatisfactory restoration (150°, 142°), whereas all rotationally displaced models in the Pauwells 30° and Pauwells 50° groups had a Garden's contralateral index of >155°, which achieved an acceptable restoration. In lateral radiographs, all rotational displacement models with Garden's alignment index>180° failed to achieve acceptable repositioning, and the larger the Pauwells angle the greater the Garden's alignment index at the same rotational displacement. In the internal oblique position with a bias towards the foot side, the image showed partial overlap between the femoral head and the shaft, making it difficult to assess the quality of the reduction. Conversely, when projected cephalad, the femoral neck appeared longer, particularly at a projection angle of 40° cephalad, allowing for clear observation of the fracture line and the anatomy of the proximal femur. The trabeculae were not well visualized in the external oblique position.Conclusion:There are limitations in applying the trabecular angle to assess the axial rotational displacement of the femoral head after reduction of femoral neck fractures. The Pauwells 70° with residual rotational anterior displacement of 60° was the only way to detect axial rotational displacement of the femoral head on anteroposterior radiographs Garden's alignment index. For the determination of axial rotational displacement of the femoral head, the Garden's alignment index on lateral radiographs provides higher reliability.

Examining mechanisms involved in the mutual regulation between the muscular system and the skeletal system, elucidating the key issues responsible for loss of muscle and bone mass and strength, and thus halting the progression of these conditions are critical measures for reducing fractures caused by falls and subsequent disability and mortality.At present, most studies have treated the muscular system and the skeletal system separately, often ignoring the mutual regulation and connections between them.This article reviews the current research progress on the mechanisms of interaction between the two systems, aiming to provide a basis for the prevention, diagnosis and treatment of disuse-related diseases in the elderly population.

Objective:To explore the latent classes of recurrence risk perception in ischemic stroke patients and their relationship with health behaviors.Methods:Convenience sampling was used to select 312 patients with ischemic stroke from two ClassⅢ Grade A hospitals of Guangzhou from December 2022 to June 2023 as the research subject. Before discharge, the General Information Questionnaire, Recurrence Risk Perception Scale for Patients with Stroke, and Health Behavior Scale for Stroke Patients were used for investigation. One month later, the Health Behavior Scale for Stroke Patients was used for follow-up. Latent class analysis and multiple Logistic regression analysis were used to explore the latent classes of recurrence risk perception and their influencing factors, while multiple linear regression was used to analyze the relationship between latent classes of recurrence risk perception and health behavior at 1-month follow-up.Results:A total of 312 questionnaires were distributed, and 302 valid questionnaires were collected, with an effective response rate of 96.79%. One month later, 261 study subjects completed follow-up. The recurrence risk perception in ischemic stroke patients were divided into four classes of overall low perceived accuracy, light consequence-heavy disease-moderate perceived accuracy, heavy self-care-light diet-upper moderate perceived accuracy, and overall high perceived accuracy. Age, educational level, place of residence and monthly average income were influencing factors for different latent classes ( P<0.05). Compared with patients with overall low perceived accuracy, patients with heavy self-care-light diet-upper moderate perceived accuracy, as well as those with overall high perceived accuracy, showed better health behavior after discharge, with a statistically significant difference ( P<0.05) . Conclusions:Medical and nursing staff should provide targeted nursing interventions based on the common characteristics and individual differences of different classes of patients, helping patients correctly perceive the recurrence risk, improve health behavior, and prevent stroke recurrence.

Objective To investigate biomechanical characteristics of femoral neck fracture with different reduction qualities. Methods Three cases of Sawbones artificial femoral models were selected, and two cases of Pauwel III femoral neck fracture were modeled. Three cannulated screws were inserted into the models in the form of inverted triangle to fix the fracture. Two cases maintained different reduction qualities (defined as Model 1 and Model 2). In the 3 third case, no modeling operation was performed (defined as intact model). Then the strain gauges were respectively pasted on regions of interest of the 3 femoral models. Finally, the femur model was applied with the vertical load on mechanical testing machine. Results When the displacement of femoral head reached 4 mm, the average load of intact model, Model 1 and Model 2 was (236.30±5.35), (196.57±3.56), (69.50±2.95) N, showing significant differences. When the displacement of femoral head reached 5 mm, the average load of intact model, Model 1 and Model 2 was (276.7±3.40)，(232.93±2.64)，(80.83±4.54) N, showing significant differences. Conclusions The lower the reduction quality of the femoral neck fracture, the weaker the ability of the femur to bear stress, the higher the probability of nonunion, re-fracture and femoral head necrosis in the process of postoperative rehabilitation.

Sarcopenia, referred to as myopenia, is a systemic syndrome characterized by decreased muscle mass and muscle strength, and decline of motor function.The elderly are a high incidence group of myopenia.With the aging of the world's population becoming increasingly severe, the incidence rate of sarcopenia has also increased, which has brought a heavy burden to the elderly family and society, and has become an important social health problem for the elderly.At present, there are more and more researches on sarcopenia, but the pathogenic factors of sarcopenia are complex and diverse.The prevention and treatment of sarcopenia still need to be further explored and studied.The establishment of an ideal animal model is the key premise and basis for the related research of sarcopenia.In this paper, the different modeling methods, advantages and disadvantages as well as the scope of application of sarcopenia animal models are described, which can provide reference and help for the subsequent animal experimental research of sarcopenia.

OBJECTIVE: To evaluate the application of three-in-one intelligent screening in outpatient pre-inspection in children's hospital. METHODS: We randomly enrolled 100 children pre-screened by traditional method in the outpatient department of Children's Hospital of Zhejiang University from February 6th to 16th, 2020, and another 100 children by the intelligent three-in-one mode from February 17th to 27th, 2020. The traditional triage was conducted by nurses based on face-to-face, one-by-one interview of the epidemiological history and consultation department, and the temperature was measured before manual triage. The intelligent three-in-one model combined online rapid pre-inspection and triage, on-site manual confirmation, as well as synchronized online health education system. For on-line registered patients, the system automatically sent the COVID-19 epidemiological pre-screening triage questionnaire one hour before the appointment, requiring parents to complete and submit online before arriving at the hospital. The on-site registered patients were controlled at 100 m away from the hospital entrance. The nurses guided the parents to scan the QR code and fill in the COVID-19 epidemiological pre-examination triage questionnaire. At the entrance of the hospital, the nurse checked the guidance sheet and took the temperature again. The children with red guidance sheet were checked again and confirmed by pre-examination nurses, and accompanied to the isolation clinic through COVID-19 patients-only entrance. The children with yellow guidance sheet were guided to fever clinic. The children with green guidance sheet could go with their parents to the designated area, and then went to the corresponding consultation area. Health education was carried out throughout the treatment, and the system automatically posted the corresponding outpatient instructions and education courses. Parents would read the courses on their mobile phones and counsel online. The time of pre-examination and the coincidence rate of triage were compared between the two groups. RESULTS: The three-in-one intelligent pre-inspection mode took an average of (25.6±8.0) s for each child, which was significantly shorter than the traditional pre-inspection mode (74.8±36.4) s ( CONCLUSIONS The three-in-one intelligent pre-inspection model can effectively shorten the patient pre-check time, with similar triage coincidence rate to traditional model.
Adult ; Betacoronavirus ; COVID-19 ; Child ; Coronavirus Infections/diagnosis* ; Humans ; Internet ; Outpatient Clinics, Hospital ; Pandemics ; Pneumonia, Viral/diagnosis* ; SARS-CoV-2 ; Surveys and Questionnaires ; Time ; Triage/standards*

Objective:This study developed a localized facial emotion recognition test and tested its reliability and validity.Methods:Seven types of emotion were selected from the Chinese facial expression intensity grading picture library, each of which had 16 pictures. A total of 112 pictures formed the first edition of the test. Eighty-three normal controls were recruited to complete the test. Based on the results of the item analysis, 42 pictures were screened to form the final version of the test. After an interval of 4 weeks, 83 normal subjects were retested with the final version to determine the test-retest reliability. The Toronto Alexithymia Scale (TAS-20) and the MATRICS (measurement and treatment research to improve cognition in schizophrenia, which is an NIMH launched research program in 2003) Consensus Cognitive Battery (MCCB) were used as criterion-related validity reference. At the same time, the internal consistency reliability and the split-half reliability were analyzed. Additionally, 162 patients with schizophrenia were recruited to complete the final version of the test to test the discriminant validity.Results:(1) The formal Chinese facial Emotion Recognition Test consisted of seven types of emotion including happiness, anger, sadness, disgust, surprise, fear, and calm, each of which had 6 pictures, and a total of 42 pictures formed the final version of the test. The total average difficulty of the test was 0.76, and the total average differentiation was 0.30. (2) The internal consistency and split-half coefficients were 0.77 and 0.72, respectively. The test-retest reliability was 0.81. (3) There was a significant positive correlation between the judgment score of disgust emotion and working memory score and MCCB total score in normal controls ( r=0.572, P<0.01; r=0.426, P=0.028, respectively). Also beside, the total judgment score of all facial emotion categories was positively correlated with the working memory score and the MCCB total score ( r=0.431, P=0.022; r=0.432, P=0.024, respectively). (4) The recognition scores of other emotion categories in schizophrenics were significantly lower than those in normal controls (all P<0.05; the effect value ranged from 0.27 to 0.72), except for calm emotion. The judgment scores of the intensity of aversion, fear, and sadness in schizophrenics were significantly lower than those in normal controls (all P<0.05, the effect value ranged from 0.33 to 0.47). Conclusion:The emotion recognition test based on Chinese face developed in this study has good reliability and validity and can be used as a standardized evaluation tool for the recognition ability of facial emotion category and facial emotion intensity in patients with schizophrenia.