ObjectiveBy exploring the influencing factors of readmission in patients with stable angina of coronary heart disease （CHD） based on real-world clinical data， to establish a risk prediction model of integrated traditional Chinese and western medicine， in order to provide a basis for early identification of high-risk populations and reducing readmission rates. MethodsA prospective clinical study was conducted involving patients with stable angina pectoris of CHD， who were divided into a training set and a validation set at a 7∶3 ratio. General information， traditional Chinese medicine （TCM）-related data， and laboratory test results were uniformly collected. After a one-year follow-up， patients were classified into a readmission group and a non-readmission group based on whether they were readmitted. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for readmission. A risk prediction model of integrated traditional Chinese and western medicine was constructed and visualized using a nomogram. The model was validated and evaluated in terms of discrimination， calibration， and clinical decision curve analysis. ResultsA total of 682 patients were included， with 477 in the training set and 205 in the validation set， among whom 89 patients were readmitted. Multivariate logistic regression analysis identified heart failure history ［OR = 6.93， 95% CI （1.58， 30.45）］， wiry pulse ［OR = 2.58， 95% CI （1.42， 4.72）］， weak pulse ［OR = 3.97， 95% CI （2.06， 7.67）］， teeth-marked tongue ［OR = 4.38， 95% CI （2.32， 8.27）］， blood stasis constitution ［OR = 2.17， 95% CI （1.06， 4.44）］， phlegm-stasis mutual syndrome ［OR = 3.64， 95% CI （1.87， 7.09）］， and elevated non-high-density lipoprotein cholesterol ［OR = 1.30， 95% CI （1.01， 1.69）］ as influencing factors of readmission. These factors were used as predictors to construct a nomogram-based risk prediction model for readmission in patients with stable angina. The model demonstrated moderate predictive capability， with an area under the receiver operating characteristic curve （AUC） of 0.818 ［95% CI （0.781， 0.852）］ in the training set and 0.816 ［95% CI （0.779， 0.850）］ in the validation set. The Hosmer-Lemeshow test showed good calibration （χ² = 4.55， P = 0.80）， and the model's predictive ability was stable. When the threshold probability exceeded 5%， the clinical net benefit of using the model to predict readmission risk was significantly higher than intervening in all patients. ConclusionHistory of heart failure， teeth-marked tongue， weak pulse， wiry pulse， phlegm-stasis mutual syndrome， blood stasis constitution， and non-high-density lipoprotein cholesterol are influencing factors for readmission in patients with stable angina of CHD. A clinical prediction model was developed based on these factors， which showed good discrimination， calibration， and clinical utility， providing a scientific basis for predicting readmission events in patients with stable angina.

Objective To investigate the effect of PIAS3 on glucose fluctuation-induced oxidative stress and mito-chondrial dysfunction in rat cardiomyocytes.Methods H9c2 were cultured in vitro,and divided into normal glucose control group(Control),mannitol-induced osmotic pressure control group(MG),constant high glucose group(HG),intermittent hyperglycemia group(IHG),IHG+siRNA NC group,and IHG+PIAS3 siRNA group.Cell proliferation was assessed using CCK-8 assay.LDH release,MDA and GSH levels,as well as SOD activity,were detected using corresponding kits.Mitochondrial membrane potential was evaluated via JC-1 staining combined with flow cytometry.ROS levels in cells and mitochondria were determined using DCFH-DA and MitoSOX staining,re-spectively.Protein expression of PI3K,p-PI3K,AKT,and p-AKT was analyzed by Western blot.Results Com-pared with the control group,intermittent hyperglycemia promoted oxidative stress and mitochondrial dysfunction,significantly upregulated PIAS3 expression(P＜0.001)and downregulated p-PI3K and p-AKT protein levels(P＜0.001).Knockdown of PIAS3 significantly alleviated oxidative stress and mitochondrial dysfunction induced by glucose fluctuations,and increased p-PI3K and p-AKT protein levels(P＜0.001).Conclusions Knockdown of PIAS3 may alleviate glucose fluctuation-induced oxidative stress and mitochondrial dysfunction in ratcardiomyocytes by activating the PI3K/AKT signaling pathway.

Objective:To evaluate the image quality and radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT using automatic tube voltage modulation (ATVM) coupled with artificial intelligence iterative reconstruction (AIIR) versus routine tube voltage combined with Karl-3D iterative reconstruction (Karl-3D IR), and to determine the optimal noise level for AIIR in contrast-enhanced thoracic-abdominal-pelvic CT.Methods:A total of 100 patients who underwent contrast-enhanced thoracic-abdominal-pelvic CT examination in the Affiliated Hospital of Hebei University from April to October, 2023 were randomly divided into group A and group B using a random number table, with 50 patients in each group. Group A was scanned using ATVM, and images were reconstructed using AIIR with 1-5 noise levels. Group B was scanned using tube voltage 120 kVp and images were reconstructed with Karl-3D IR and noise level 5. The single-to-noise ratio (SNR), contrast-to-noise ratio (CNR), effective dose (E), and size-specific dose estimate (SSDE) were recorded or calculated for all patients or images. Subjective evaluations of all images were performed. The quality of the reconstructed images using AIIR with 1-5 noise levels were compared and the optimal noise level of AIIR for image reconstruction was determined. Image quality and radiation dose were statistically analyzed for Group A (image reconstruction with optimal AIIR noise level) and Group B.Results:The mean SNR and mean CNR of the reconstructed images using AIIR with noise levels 1, 2, and 3 in group A were higher than those using AIIR with noise levels 4 and 5. The images reconstructed using AIIR with noise levels 3 and 4 scored higher in subjective assessment than those reconstructed using AIIR with noise levels 1, 2, and 5. Therefore, noise level 3 was optimal for AIIR in reconstruction of contrast-enhanced thoracic-abdominal-pelvic CT images. The mean SNR, mean CNR, and subjective evaluation score of group A using AIIR with noise level 3 were higher than those of group B using Karl-3D IR with noise level 5 ( P<0.001). The mean SSDE and the mean E of group A were reduced by 46% and 41%, respectively, compared with those of group B. Conclusions:ATVM technology combined with the AIIR algorithm can improve image quality and reduced patient radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT. Noise level 3 is optimal for AIIR in the reconstruction of arterial-phase and venous-phase contrast-enhanced thoracic-abdominal-pelvic CT images.

Objective:To evaluate the efficacy of the “double-low” scanning protocol (low tube voltage and low-concentration contrast agent) combined with the artificial intelligence iterative reconstruction (AIIR) algorithm for abdominal CT enhancement in patients with obesity and to identify the optimal AIIR reconstruction algorithm level.Methods:From April 2024 to July 2024, patients with a body mass index≥30.00 kg/m2 who underwent abdominal CT enhancement at the Affiliated Hospital of Hebei University were prospectively included. All patients were randomly assigned to groups A or B. Patients in Group A accepted the conventional scanning protocol (automatic tube voltage selection and a contrast agent concentration of 350 mg/ml) with reconstruction using the Karl 3D iterative reconstruction algorithm at levels 3-5. The “double-low” protocol (a fixed tube voltage of 80 kVp and a contrast agent concentration of 320 mg/ml) with AIIR algorithm reconstruction at levels 1-5 were performed in Group B. CT values and image noises were measured, including the right posterior liver lobe at the level of the first porta hepatis and subcutaneous fat at the third lumbar level during arterial and portal venous phases, abdominal aorta at the third lumbar vertebra during the arterial phase, and portal vein trunk during the portal-venous-phase. Radiation dose, total iodine intake, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and subjective image quality scores were recorded. The optimal reconstruction levels for arterial-phase and portal-venous-phase images were identified for each group by repeatedly measured ANOVA. The figure of merit (FOM) was calculated for the best images in both groups, and comparisons were made in terms of image quality, radiation dose, and iodine intake using an unpaired t-test or Wilcoxon test. Results:Overall, 150 patients with obesity were collected, and each group included 75 cases. In group A, compared with levels 3 and 4 ( P<0.001), the Karl 3D level 5 algorithm yielded significantly higher SNR, CNR values, and subjective scores, designating level 5 as the optimal reconstruction level. In group B, the AIIR level 4 algorithm achieved higher SNR and CNR values than level 5 and achieved higher subjective scores than levels 3 and 5 ( P<0.001), which means that level 4 was the optimal reconstruction level. Images reconstructed with AIIR level 4 in group B exhibited significantly higher CT, SNR, CNR, FOM values, and subjective scores than those reconstructed with Karl 3D level 5 in group A ( P<0.001). Compared with group A, the volume CT dose index values, dose-length product, and size-specific dose estimate based on water equivalent diameter in Group B were reduced by 56.75%, 58.29%, and 56, 71% during the arterial phase, and 56.70%, 58.27%, and 56.88% during the portal venous phase, respectively. Total iodine intake was significantly reduced by 10.71% in group B ( P<0.001). Conclusions:The “double-low” scanning protocol combined with AIIR algorithm significantly reduced radiation dose and iodine intake during abdominal CT enhancement in patients with obesity, without compromising image details, increasing noise, or altering image quality. AIIR level 4 was the optimal image reconstruction level for arterial-phase and portal-venous-phase in obese patients.

Objective:To carry out evidence-based practice in the management of exercise rehabilitation for kinesiophobia patients after degenerative lumbar spine disease surgery, construct review indicators, analyze barriers and facilitators to evidence-based practice, and develop strategies for action change.Methods:Using the integrated-promoting action on research implementation in health services model (i-PARIHS model) as a theoretical framework, clinical nursing problems were identified, the evidence-based practice group was built, evidence was systematically retrieved, evaluated, and summarized, and review indicators were developed and review methodology was clarified. An evidence-based baseline review of 36 healthcare professionals in the Department of Orthopedics of the First Affiliated Hospital of Bengbu Medical University was conducted from October 2023 to January 2024 using the Evidence-based Readiness Scale. Barriers and facilitators to the evidence-based practice were analyzed based on the results of the baseline review, strategies for action were developed accordingly.Results:A total of 23 pieces of best evidence were included and 32 review indicators were developed. In the baseline review, 25 of the review indicators had an accurate implementation rate of < 60% and 14 had an implementation rate of 0. The main barriers of evidence-based practice were lack of effective feedback systems, lack of kinesiophobia mentoring programs, and lack of management processes and educational materials. The main facilitators were active support from organizational leadership and high motivation of patients and their families to participate. A total of 15 action strategies were eventually developed.Conclusions:This study constructed review indicators for the management of exercise rehabilitation in kinesiophobia patients after degenerative lumbar spine disease surgery based on the best evidence. There are several barriers in clinical practice. The action change strategy developed is scientifically sound and feasible.

Objective:To evaluate the image quality and radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT using automatic tube voltage modulation (ATVM) coupled with artificial intelligence iterative reconstruction (AIIR) versus routine tube voltage combined with Karl-3D iterative reconstruction (Karl-3D IR), and to determine the optimal noise level for AIIR in contrast-enhanced thoracic-abdominal-pelvic CT.Methods:A total of 100 patients who underwent contrast-enhanced thoracic-abdominal-pelvic CT examination in the Affiliated Hospital of Hebei University from April to October, 2023 were randomly divided into group A and group B using a random number table, with 50 patients in each group. Group A was scanned using ATVM, and images were reconstructed using AIIR with 1-5 noise levels. Group B was scanned using tube voltage 120 kVp and images were reconstructed with Karl-3D IR and noise level 5. The single-to-noise ratio (SNR), contrast-to-noise ratio (CNR), effective dose (E), and size-specific dose estimate (SSDE) were recorded or calculated for all patients or images. Subjective evaluations of all images were performed. The quality of the reconstructed images using AIIR with 1-5 noise levels were compared and the optimal noise level of AIIR for image reconstruction was determined. Image quality and radiation dose were statistically analyzed for Group A (image reconstruction with optimal AIIR noise level) and Group B.Results:The mean SNR and mean CNR of the reconstructed images using AIIR with noise levels 1, 2, and 3 in group A were higher than those using AIIR with noise levels 4 and 5. The images reconstructed using AIIR with noise levels 3 and 4 scored higher in subjective assessment than those reconstructed using AIIR with noise levels 1, 2, and 5. Therefore, noise level 3 was optimal for AIIR in reconstruction of contrast-enhanced thoracic-abdominal-pelvic CT images. The mean SNR, mean CNR, and subjective evaluation score of group A using AIIR with noise level 3 were higher than those of group B using Karl-3D IR with noise level 5 ( P<0.001). The mean SSDE and the mean E of group A were reduced by 46% and 41%, respectively, compared with those of group B. Conclusions:ATVM technology combined with the AIIR algorithm can improve image quality and reduced patient radiation dose in contrast-enhanced thoracic-abdominal-pelvic CT. Noise level 3 is optimal for AIIR in the reconstruction of arterial-phase and venous-phase contrast-enhanced thoracic-abdominal-pelvic CT images.

Objective:To evaluate the efficacy of the “double-low” scanning protocol (low tube voltage and low-concentration contrast agent) combined with the artificial intelligence iterative reconstruction (AIIR) algorithm for abdominal CT enhancement in patients with obesity and to identify the optimal AIIR reconstruction algorithm level.Methods:From April 2024 to July 2024, patients with a body mass index≥30.00 kg/m2 who underwent abdominal CT enhancement at the Affiliated Hospital of Hebei University were prospectively included. All patients were randomly assigned to groups A or B. Patients in Group A accepted the conventional scanning protocol (automatic tube voltage selection and a contrast agent concentration of 350 mg/ml) with reconstruction using the Karl 3D iterative reconstruction algorithm at levels 3-5. The “double-low” protocol (a fixed tube voltage of 80 kVp and a contrast agent concentration of 320 mg/ml) with AIIR algorithm reconstruction at levels 1-5 were performed in Group B. CT values and image noises were measured, including the right posterior liver lobe at the level of the first porta hepatis and subcutaneous fat at the third lumbar level during arterial and portal venous phases, abdominal aorta at the third lumbar vertebra during the arterial phase, and portal vein trunk during the portal-venous-phase. Radiation dose, total iodine intake, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and subjective image quality scores were recorded. The optimal reconstruction levels for arterial-phase and portal-venous-phase images were identified for each group by repeatedly measured ANOVA. The figure of merit (FOM) was calculated for the best images in both groups, and comparisons were made in terms of image quality, radiation dose, and iodine intake using an unpaired t-test or Wilcoxon test. Results:Overall, 150 patients with obesity were collected, and each group included 75 cases. In group A, compared with levels 3 and 4 ( P<0.001), the Karl 3D level 5 algorithm yielded significantly higher SNR, CNR values, and subjective scores, designating level 5 as the optimal reconstruction level. In group B, the AIIR level 4 algorithm achieved higher SNR and CNR values than level 5 and achieved higher subjective scores than levels 3 and 5 ( P<0.001), which means that level 4 was the optimal reconstruction level. Images reconstructed with AIIR level 4 in group B exhibited significantly higher CT, SNR, CNR, FOM values, and subjective scores than those reconstructed with Karl 3D level 5 in group A ( P<0.001). Compared with group A, the volume CT dose index values, dose-length product, and size-specific dose estimate based on water equivalent diameter in Group B were reduced by 56.75%, 58.29%, and 56, 71% during the arterial phase, and 56.70%, 58.27%, and 56.88% during the portal venous phase, respectively. Total iodine intake was significantly reduced by 10.71% in group B ( P<0.001). Conclusions:The “double-low” scanning protocol combined with AIIR algorithm significantly reduced radiation dose and iodine intake during abdominal CT enhancement in patients with obesity, without compromising image details, increasing noise, or altering image quality. AIIR level 4 was the optimal image reconstruction level for arterial-phase and portal-venous-phase in obese patients.

Objective:To carry out evidence-based practice in the management of exercise rehabilitation for kinesiophobia patients after degenerative lumbar spine disease surgery, construct review indicators, analyze barriers and facilitators to evidence-based practice, and develop strategies for action change.Methods:Using the integrated-promoting action on research implementation in health services model (i-PARIHS model) as a theoretical framework, clinical nursing problems were identified, the evidence-based practice group was built, evidence was systematically retrieved, evaluated, and summarized, and review indicators were developed and review methodology was clarified. An evidence-based baseline review of 36 healthcare professionals in the Department of Orthopedics of the First Affiliated Hospital of Bengbu Medical University was conducted from October 2023 to January 2024 using the Evidence-based Readiness Scale. Barriers and facilitators to the evidence-based practice were analyzed based on the results of the baseline review, strategies for action were developed accordingly.Results:A total of 23 pieces of best evidence were included and 32 review indicators were developed. In the baseline review, 25 of the review indicators had an accurate implementation rate of < 60% and 14 had an implementation rate of 0. The main barriers of evidence-based practice were lack of effective feedback systems, lack of kinesiophobia mentoring programs, and lack of management processes and educational materials. The main facilitators were active support from organizational leadership and high motivation of patients and their families to participate. A total of 15 action strategies were eventually developed.Conclusions:This study constructed review indicators for the management of exercise rehabilitation in kinesiophobia patients after degenerative lumbar spine disease surgery based on the best evidence. There are several barriers in clinical practice. The action change strategy developed is scientifically sound and feasible.

ObjectiveTo evaluate the efficacy of TCM health management based on tertiary management system for patients with myocardial infarction （MI）. MethodsA total of 277 patients with non-acute MI were enrolled and given comprehensive TCM health management strategies including health education， lifestyle adjustment， risk factors control， medication and TCM appropriate techniques management through a tertiary management system with "the patient as the core， village/community physicians as the main executive body， and tertiary TCM hospital specialists as the leading body"， for a period of 12 months by using a prospective single-arm cohort study. Through patient reporting and medical records surveys， various indicators before and after 12-month management were collected and compared. The primary efficacy indicators were readmission rate and recurrent exacerbation rate， and the secondary efficacy indicators included disease awareness-related indicators， lifestyle behavior-related indicators， cardiovascular risk factor-related indicators and Canadian cardiovascular society （CCS） cardiac function classification. ResultsA total of 255 patients completed the study and were included in the final analysis. The recurrent exacerbation and readmission rates of patients after management were 23.14% （59 cases） and 20.25% （49 cases）， respectively， significantly lower than 36.08% （92 cases） and 53.72% （130 cases） before management （P＜0.05）. Except for knowledge on diabetes diagnostic criteria with no significant difference before and after management （P＞0.05）， awareness of other knowledge with regard to the prevention and treatment of cardiovascular and cerebrovascular diseases were improved after management （P＜0.01）， as well as the total score （P＜0.01）. In terms of daily life behaviors， the rates of salty diet， sweet diet and greasy diet were significantly lower than baseline， while the rate of moderate exercise was significantly higher （P＜0.05 or P＜0.01）； the rates of ongoing smoking and vigorous exercise were not significantly changed （P＞0.05）. For cardiovascular risk factors， patients' total cholesterol， low-density lipoprotein （LDL） cholesterol， triglycerides， fasting glucose， total depression assessment scale score， and total anxiety assessment scale score were significantly reduced after management （P＜0.01）. Systolic blood pressure and body mass index （BMI） were both higher after management （P＜0.05 or P＜0.01）， and there was no statistically significant difference in diastolic blood pressure （P＞0.05）. In terms of the cardiovascular disease risk factors reaching the standard levels， the rate of LDL cholesterol ＜1.8 mmol/L significantly increased （P＜0.01）， while the rate of BMI ＜24 kg/m² and the rate of systolic blood pressure ＜140 mmHg both decreased significantly （P＜0.05 or P＜0.01） from baseline； the diastolic blood pressure and rate of fasting glucose ＜7.0 mmol/L were not significantly changed （P＞0.05）. The patients' CCS cardiac function classification was significantly reduced （P＜0.05）. ConclusionTCM health management based on the tertiary management system can enhance MI patients' awareness of the disease， change poor lifestyle habits， reduce risk factors such as blood lipids and blood glucose， improve anxiety and depression， increase activity tolerance， and reduce their recurrence exacerbation and readmission rates， which is worthy of clinical promotion.

A 11-year old female patient with severe thalassemia, receipt a lentivirus-based cell and gene therapy (CGT) therapy in Shenzhen Children′s Hosptial on July 27th, 2021. At the two follow-up visits after discharge, patient were continuously tested positive for HIV screening through HIV Ag/Ab Combo assay (chemiluminescence Immunoassay), and the viral load results of HIV-1 nucleic acid testing (NAT) were both>5 000 copies/ml. The patient can be diagnosed with HIV infection according to the National Guideline for Detection of HIV/AIDS(2020 Revised Edition). The thorough investigation findings and supplementary experiment results indicated that the false-positive HIV-1 NAT results was caused by cross-reactivity between the target sites detected by conventional HIV-1 NAT reagents and the lentiviral vectors fragments integrated into the genome of patient′s hematopoietic stem/progenitor cells. In conclusion, it is important for laboratories to select appropriate HIV-1 NAT testing platforms which won′t cause cross-reactivity for the testing of samples from patients who have been treated with HIV-derived vectors. It is also recommended to design and develop NAT testing platforms with multiple target regions labeled by different fluorescents for HIV NAT supplementation experiment to reduce the risk of false-positive diagnoses of HIV infection.