Objective: To investigate the self-monitoring blood pressure behavior and its influencing factors among residents in Jiangsu Province, so as to provide the basis for strengthening proactive blood pressure monitoring among residents. Methods: Permanent residents aged 35-75 years in six counties (cities, districts), Jiangsu Province, were selected using the stratified cluster sampling method in 2023. Data on basic information, disease history, and self-monitoring blood pressure behavior were collected, height and weight were measured to calculate the body mass index (BMI); and blood glucose and lipid levels were measured. Self-monitoring blood pressure behavior was defined as having measured blood pressure at least once in the past three months. Factors affecting self-monitoring blood pressure behavior were identified using a multivariable logistic regression model. Results: A total of 12 475 residents were surveyed, including 5 748 males and 6 727 females, with a male-to-female ratio of 1∶1.17. There were 3 855 residents aged 45-<55 years (30.90%) and 5 511 residents who had self-monitoring blood pressure behaviors (44.18%). Multivariable logistic regression analysis showed that the residents who were males (OR=1.167, 95%CI: 1.081-1.261), lived in rural areas (OR=1.430, 95%CI: 1.321-1.547), aged 45-75 years (45-<55 years, OR=1.384, 95%CI: 1.241-1.543; 55-<65 years, OR=1.397, 95%CI: 1.243-1.570; 65-75 years, OR=1.196, 95%CI: 1.049-1.363), had an annual household income ≥30 000 yuan (30 000-<60 000 yuan, OR=1.190, 95%CI: 1.072-1.321; 60 000-<110 000 yuan, OR=1.330, 95%CI: 1.191-1.485; ≥110 000 yuan, OR=1.746, 95%CI: 1.536-1.984), were overweight (OR=1.170, 95%CI: 1.070-1.280) or obese (OR=1.248, 95%CI: 1.120-1.391), were unaware (OR=1.221, 95%CI: 1.103-1.353) or aware (OR=3.937, 95%CI: 3.575-4.335) of having hypertension, were aware of having diabetes (OR=1.538, 95%CI: 1.354-1.749), and aware of having dyslipidemia (OR=1.265, 95%CI: 1.106-1.447) were more likely to have self-monitoring blood pressure behaviors. Conclusions Among the residents aged 35-75 years in Jiangsu Province, 44.18% had self-monitoring blood pressure behavior. Gender, place of residence, age, annual household income, BMI, hypertension, diabetes, and dyslipidemia were identified as influencing factors for self-monitoring blood pressure behavior.

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child

Objective:To understand the prevalence, blood pressure control, and influencing factors of hypertension in residents aged 35-75 years in Jiangsu Province, and provide data support and basis for hypertension prevention and treatment.Methods:A stratified cluster sampling method was adopted to conduct community population surveys in 22 districts and counties in 12 prefectures in Jiangsu from 2021 to 2022. A total of 123 531 permanent residents aged 35-75 years were included in the study. The questionnaire survey collected the information about the demographic characteristics, disease history, lifestyle, and control of hypertension of study subjects. Statistical software SPSS 23.0 was used for χ2 test and multivariate logistic regression analysis, and Joinpoint 4.9.1.0 software was used to evaluate the trend of age change. Results:The standardized prevalence of hypertension in study subjects was 46.60%, the prevalence was higher in men than in women, and in rural residents than in urban residents, and the standardized blood pressure control rate was 11.24%, and it was lower in men than in women and in rural residents than in urban residents. The hypertension prevalence and control rates showed increasing trends with age (both P<0.001). The multivariate analysis results showed that being man, older age, being rural resident, higher frequency of alcohol consumption, marital status of being separated and widowed, overweight and obese, abdominal obesity and stroke, diabetes mellitus and dyslipidaemic diseases histories, and family history of hypertension were risk factors for hypertension, and being man, being rural resident, living north area, higher frequency of alcohol consumption, and obesity were risk factors for blood pressure control. Conclusions:The prevalence of hypertension in residents aged 35-75 years in Jiangsu was high, and the rate of blood pressure control was low. It is suggested to take integrated intervention measures, especially in in rural residents and people with low levels of education to reduce the disease burden of the patients.

Objective:To analyze the comorbidity status and influencing factors of hypertension, diabetes, and dyslipidemia among middle-aged and elderly in Jiangsu Province and to provide support for "co-management of the three diseases".Methods:Data originated from the Comprehensive Prevention and Control Project of Cardiovascular and Cerebrovascular Diseases baseline survey in Jiangsu Province. Questionnaire interviews, physical examinations, and laboratory tests were conducted on 136 433 permanent residents aged ≥35 years who participated in the survey from 2021 to 2023. A multinomial logit model was established using SPSS 23.0 to analyze the influencing factors of the three comorbidities.Results:The comorbidity rate of hypertension, diabetes, and dyslipidemia among middle-aged and older adults in Jiangsu Province was 7.3%. Hypertension combined with dyslipidemia was the main comorbidity pattern, and patients with diabetes accounted for the largest proportion. Multinomial logistic regression analysis showed that the risk of being two types of the three comorbidities was higher in male, aging, urban residents, and those with high/technical secondary school, higher frequency of cigarette smoking and alcohol drinking, and longer daily sedentary time; the risk was lower in those with higher the level of physical activity and longer daily sleep time. Among the three types of comorbidities, males with aging, high/technical secondary school, regular smoking/quitting, higher frequency of alcohol drinking, and longer daily sedentary time had higher risk; those with an annual family income of 30 000-99 999 RMB, higher level of physical activity, and the daily sleep time of 7 hours had the lower risk (all P<0.05). Conclusions:The prevention and control of the three comorbidities among middle-aged and older adults in Jiangsu Province still needs strengthening. High-risk groups for the three diseases and comorbidities, such as males, low-income , and high/technical secondary school should be focused on. Middle-aged and older adults are suggested to increase daily physical activity, reduce daily static time, reasonably arrange sleep duration, and quit smoking and drinking as early as possible to maintain a healthy weight.

Based on high-resolution magnetic resonance tube wall imaging,reverse medical engineering modeling techniques are used to obtain individualized intracranial artery models of high prevalence in ischemic stroke.Three types of intracranial artery models,including Newtonian fluid model,non-Newtonian fluid model and non-Newtonian fluid with two-phase flow model,are established for transient numerical simulations using computational fluid dynamics method.The hemodynamic parameters such as blood flow field,wall shear stress distribution and erythrocyte volume distribution are analyzed to investigate the possible mechanisms involved in the formation and progression of intracranial atherosclerosis.It is found that blood flow velocity increased significantly at the end of the internal carotid artery and the middle cerebral artery.Low-speed vortex flow and disturbed flow appear in the local vessels.The difference in blood flow velocity between the center and the edge of the wall is large,with an obvious low-flow velocity area on the outer side.A clear central core area is formed in the stenotic wall under the action of high-speed blood flow,resulting in thinner edge layer and lower erythrocyte volume fraction.The combination of low erythrocyte distribution in the edge layer and low flow velocity on the outer side of the wall exacerbates endothelial cell necrosis,hypoxia,endothelial dysfunction,and leads to atherosclerosis.Compared with Newtonian and non-Newtonian fluid models,non-Newtonian fluid with two-phase flow model has greater variability for hemodynamic parameters and shows higher fidelity in simulating blood flow,which provides a reference for clinical diagnosis and treatment of cerebrovascular diseases.

Gastric residual volume is an important factor affecting patients' enteral nutrition. Bedside ultrasound can quickly and accurately predict gastric residual volume, which helps guide enteral nutrition. This paper reviews the applicable population, construction process, predictive performance, and clinical application of the ultrasound prediction model for gastric residual volume, so as to provide reference for the construction and application of ultrasound prediction models for gastric residual volume in China.

The impeller, as a key component of artificial heart pumps, experiences high shear stress due to its rapid rotation, which may lead to hemolysis. To enhance the hemolytic performance of artificial heart pumps and identify the optimal combination of blade parameters, an optimization design for existing pump blades is conducted. The number of blades, outlet angle, and blade thickness were selected as design variables, with the maximum shear stress within the pump serving as the optimization objective. A back propagation (BP) neural network prediction model was established using existing simulation data, and a grey wolf optimization algorithm was employed to optimize the blade parameters. The results indicated that the optimized blade parameters consisted of 7 impeller blades, an outlet angle of 25 °, and a blade thickness of 1.2 mm; this configuration achieved a maximum shear stress value of 377 Pa-representing a reduction of 16% compared to the original model. Simulation analysis revealed that in comparison to the original model, regions with high shear stress at locations such as the outer edge, root, and base significantly decreased following optimization efforts, thus leading to marked improvements in hemolytic performance. The coupling algorithm employed in this study has significantly reduced the workload associated with modeling and simulation, while also enhancing the performance of optimization objectives. Compared to traditional optimization algorithms, it demonstrates distinct advantages, thereby providing a novel approach for investigating parameter optimization issues related to centrifugal artificial heart pumps.
Neural Networks, Computer ; Algorithms ; Heart-Assist Devices ; Hemolysis ; Humans ; Equipment Design ; Stress, Mechanical ; Computer Simulation

Objective:To explore the effects of graded nutritional nursing based on Prognostic Nutritional Index (PNI) in patients with cervical cancer undergoing concurrent chemoradiotherapy.Methods:Totally 414 patients with cervical cancer who were treated in Henan Cancer Hospital from December 2020 to December 2021 were selected by convenience sampling, and they were randomly divided into the study group and the control group according to the random number table, with 207 patients in each group. All patients received the same concurrent chemoradiotherapy. Patients in the control group were given nutritional nursing under the guidance of NRS2002, while patients in the study group were given graded nutritional nursing based on PNI. The PNI, levels of albumin (ALB) , prealbumin (PA) , transferrin (TRF) , immunoglobulin A (IgA) , immunoglobulin G (IgG) and adverse reactions were compared between the two groups.Results:Finally, 197 patients were included in the study group, and 195 patients were included in the control group. At the eighth week of treatment, the PNI of the study group was better than that of the control group, and the difference was statistically significant ( P<0.05) . In the first and third weeks of treatment, the levels of ALB, PA, TRF, IgA and IgG in the two groups gradually decreased, but the levels of ALB, PA, TRF, IgA and IgG in the study group were higher than those in the control group, and the difference was statistically significant ( P<0.01) . During concurrent chemoradiotherapy, the incidences of nausea and vomiting, enteral nutrition intolerance, bone marrow suppression, and cancer-related fatigue in the study group were lower than those in the control group, with statistically significant differences ( P<0.05) . Conclusions:PNI-based graded nutritional nursing to cervical cancer patients undergoing concurrent chemoradiotherapy can improve the nutritional status and immune level of patients and reduce the incidence of related complications.

The physical trauma and psychological stress brought by awake surgery will lead to many negative outcomes. Virtual reality (VR) technology can effectively relieve the pain and anxiety of patients undergoing awake surgery by taking advantage of its advantages of immersion, interactivity and imagination. This paper summarizes the types and application effects of VR head-mounted displays, analyzes the shortcomings of VR and points for attention in application, so as to provide reference for future research and clinical practice.

Objective:To explore the effect of immersive mindfulness travel system in patients undergoing breast biopsy.Methods:This study adopted a randomized controlled study design. From February to July 2022, convenience sampling was used to select 94 patients who underwent breast biopsy in the Breast Surgery of Beijing Hospital as the research subject. The patients were randomly divided into an experimental group and a control group by segmented randomization, with 47 cases in each group. The experimental group implemented the immersive mindfulness travel system model, while the control group patients wore headphones to listen to light music and received verbal comfort and support. We compared the anxiety, fear scores and satisfaction with nursing services between two groups of patients.Results:There was a statistically significant difference in the scores of the State-trait Anxiety Inventory and the modified Surgical Fear Questionnaire for Breast Biopsy Patients between the two groups of patients before and after intervention ( P<0.05). The satisfaction score of nursing services in the experimental group was higher than that in the control group, and the difference was statistically significant ( P<0.01) . Conclusions:Immersive mindfulness travel system makes up for some deficiencies of existing intraoperative virtual reality intervention. It is superior to light music therapy in alleviating intraoperative anxiety and fear of breast biopsy patients and improving nursing service satisfaction, and has good clinical application prospects.