Objective To evaluate the clinical value of portable ultrasound in the management of traumatic shock patients.Methods From September 2020 to October 2021,52 patients with traumatic shock were admitted to Department of Emergency of The First Affiliated Hospital of Naval Medical University and underwent abdominal ultrasound and CT plain scan.The accuracy of ultrasound was compared with surgical or CT results which were taken as the gold standard.The time taken before,during,and after ultrasound and CT examinations were recorded.Working years of the sonographers were also recorded.Results In traumatic shock patients,the coincidence rates of ultrasound diagnosis of effusion and abdominal organ injuries were 85%and 82%,respectively.Ultrasound had shorter time interval from admission to first examination,shorter time to obtain test results,shorter total time,and longer testing time than CT(P<0.05).The average time of examination by sonographers with 3 and more working years was significantly shorter than that by sonographers with less than 3 working years([5.06±1.20]min vs.[6.14±1.29]min,P<0.05).Conclusion Portable ultrasound can provide rapid and accurate diagnosis of abdominal organ injuries and thoracic/abdominal effusions in traumatic shock patients,with significantly shorter total evaluation time compared with CT.Proficiency-gained sonographers can further optimize examination efficiency,proving particularly valuable for time-critical resuscitation.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Despite primary glomerulonephritis (PGN) being a leading cause of chronic kidney disease and end-stage renal disease, specific and sensitive biomarkers for the early detection and monitoring of this condition are lacking. We evaluated the value of the combined detection of serum cystatin C (CYSC), β2-microglobulin (β2-MG), and urine transferrin (TRF) for diagnosing early-stage PGN. From May 2021 to May 2023, we enrolled 105 patients in our hospital as the observation group and 50 healthy volunteers as the control group. Their serum expression levels of CYSC, β2-MG, and TRF were evaluated. We plotted separate ROC curves and calculated the area under the curve (AUC) values of CYSC, β2-MG, and TRF to assess their diagnostic performance in PGN. The levels of CYSC, β2-MG, and TRF were significantly higher (P < 0.05) in the observation group than in the healthy control group. CYSC, β2-MG, and TRF were expressed at significantly higher levels in G2, G3a, and G3b of PGN than in G1. The combined use of CYSC, β2-MG, and TRF as biomarkers could significantly improve the early diagnosis and monitoring of PGN and may lead to better patient outcomes by facilitating earlier intervention and treatment strategies.

Objectives:To evaluate preoperative imaging anatomic characteristics and risk stratification in patients with pure aortic regurgitation(PAR)who underwent transcatheter aortic valve replacement(TAVR).Methods:A total of 156 consecutive patients with moderate or severe PAR who underwent TAVR from January 2018 to June 2023 in Fujian Provincial Hospital were enrolled.Pre-procedural aortic root computed tomography scans of the patients were analyzed to summarize anatomical risk points and typing.The clinical baseline data,perioperative data,and postoperative 12-month adverse events during follow-up of patients with different typing were compared.Results:The mean age of the 156 PAR patients treated with TAVR was(72.8±6.4)years,69.2%were male,and the STS score was(7.7±2.0)%.The proportion of PAR patients with simple,general and challenging lesions was 9.0%,37.8%and 53.2%,respectively.Results showed that enrolled patients with PAR treated with TAVR were at high risk of valve displacement(47.4%),and the risk of perivalvular leakage(26.9%),ascending aortic dilatation(26.9%),low coronary artery opening(37.2%)and transverse heart(23.7%)were also common.The risk of valve displacement and perivalvular leakage were significantly higher in PAR patients with challenging lesions.The risk of perioperative complications was significantly higher in patients with challenging and general lesions than in patients with simple lesions,and the most common complications were new left bundle branch block and pacemaker implantation.The 12-month adverse event rates after TAVR in PAR patients with simple,general,and challenge lesions were 0%,15.3%,and 32.5%,respectively,and the difference was statistically significant(P=0.004).Multivariate logistic regression analysis showed that PAR patients with challenging lesions had a significantly higher risk of multiple endpoint events 12 months after surgery than those with non-challenging lesions(OR=3.38,95%CI:1.48-8.38,P=0.006).Conclusions:Careful assessment of anatomic risk typing by preoperative imaging in PAR patients undergoing TAVR is important for risk stratification of perioperative complications as well as adverse events during follow-up.

Objectives:To evaluate preoperative imaging anatomic characteristics and risk stratification in patients with pure aortic regurgitation(PAR)who underwent transcatheter aortic valve replacement(TAVR).Methods:A total of 156 consecutive patients with moderate or severe PAR who underwent TAVR from January 2018 to June 2023 in Fujian Provincial Hospital were enrolled.Pre-procedural aortic root computed tomography scans of the patients were analyzed to summarize anatomical risk points and typing.The clinical baseline data,perioperative data,and postoperative 12-month adverse events during follow-up of patients with different typing were compared.Results:The mean age of the 156 PAR patients treated with TAVR was(72.8±6.4)years,69.2%were male,and the STS score was(7.7±2.0)%.The proportion of PAR patients with simple,general and challenging lesions was 9.0%,37.8%and 53.2%,respectively.Results showed that enrolled patients with PAR treated with TAVR were at high risk of valve displacement(47.4%),and the risk of perivalvular leakage(26.9%),ascending aortic dilatation(26.9%),low coronary artery opening(37.2%)and transverse heart(23.7%)were also common.The risk of valve displacement and perivalvular leakage were significantly higher in PAR patients with challenging lesions.The risk of perioperative complications was significantly higher in patients with challenging and general lesions than in patients with simple lesions,and the most common complications were new left bundle branch block and pacemaker implantation.The 12-month adverse event rates after TAVR in PAR patients with simple,general,and challenge lesions were 0%,15.3%,and 32.5%,respectively,and the difference was statistically significant(P=0.004).Multivariate logistic regression analysis showed that PAR patients with challenging lesions had a significantly higher risk of multiple endpoint events 12 months after surgery than those with non-challenging lesions(OR=3.38,95%CI:1.48-8.38,P=0.006).Conclusions:Careful assessment of anatomic risk typing by preoperative imaging in PAR patients undergoing TAVR is important for risk stratification of perioperative complications as well as adverse events during follow-up.

With the deepening of modern drug research,traditional computer simulation can not meet the needs of future drug design experiments.As a classic technology of standard computer simulation,molecular simulation can construct and analyze complex molecular models to study the dynamic processes of molecular motion.However,the simulation results are easy to be affected by human factors.In recent years,the integration of artificial intelligence and molecular simulation has become a new method of drug design research.Artificial intelligence technology uses big data to screen out the corresponding compounds for molecular simulation and feedback on the simulation results to the artificial intelligence system to optimize the artificial neural network.The combination of artificial intelligence and molecular simulation technology improves the efficiency of drug design research,reduces the influence of human factors on simulation results,and increases the credibility of simulation results.In this review,we summarized the progress of artificial intelligence and molecular simulation technology in drug design to provide a reference for the change from computer assisted drug design(CADD)to artificial intelligence-aided drug design(AIDD)in future pharmaceutical development.