Objective:To evaluate the left atrial structure and function in patients with non-obstructive hypertrophic cardiomyopathy（NOHCM）and atrial fibrillation（AF）using four-dimensional automatic left atrial quantification（4D Auto LAQ）technology，and to explore the correlation between left atrial remodeling and AF.Methods:Ninety patients with NOHCM treated in the First Affiliated Hospital of Zhengzhou University from May 2023 to September 2024 were prospectively selected and divided into AF group（ n=27）and non-AF group（ n=63）according to whether they had AF. Clinical data of all enrolled patients were collected，and two-dimensional，color Doppler，and tissue Doppler ultrasound parameters were measured. 4D Auto LAQ technology was used to obtain left atrial volume and strain parameters. Inter-group comparison，univariate and multivariate Logistic regression analysis，and repeatability test were used to analyze the data. Results:Compared with non-AF group，left atrial maximum volume index（LAVImax），left atrial minimum volume index（LAVImin）and left atrial pre-systolic volume index（LAVIpreA）were increased in the AF group，but left atrial total ejection fraction（LAEF），left atrial passive ejection fraction（LApEF），left atrial active ejection fraction（LAaEF）and the absolute values of left atrial reservoir longitudinal and circumferential strains（LASr，LASr-c），left atrial conduit longitudinal and circumferential strains（LAScd，LAScd-c）and left atrial contraction longitudinal and circumferential strains（LASct，LASct-c）were decreased（all P<0.05）. Multivariate Logistic regression analysis showed that LAVImin was independently associated with AF（ OR=0.837， P<0.001）. Conclusions:4D Auto LAQ can quantitatively evaluate the left atrial structure and function in patients with NOHCM and AF，and LAVImin is independently associated with the presence of AF.

Objective:To evaluate the left atrial function in patients with hypertrophic cardiomyopathy（HCM）combined with heart failure with preserved ejection fraction（HFpEF）using four-dimensional automated left atrial quantification（4D Auto LAQ）technology，and to investigate the independent factors affecting patients with HCM combined with HFpEF.Methods:One hundred HCM patients with left ventricular ejection fraction（LVEF）≥ 50% who were admitted to the First Affiliated Hospital of Zhengzhou University from September 2023 to March 2025 were prospectively selected. There were 50 cases in the HFpEF group and 50 cases in the non-HF group. The clinical data and conventional ultrasound parameters of HCM patients were collected. The 4D Auto LAQ technology was applied to obtain the four-dimensional volume and strain parameters of the left atrium，including the minimum left atrial volume（LAVmin），the maximum left atrial volume（LAVmax），the maximum left atrial volume index（LAVImax），the pre-atrial contraction volume（LAVpreA），the left atrial emptying volume（LAEV），the left atrial ejection fraction（LAEF），the longitudinal and circumferential strains in the left atrial reservoir period（LASr，LASr-c），the longitudinal and circumferential strains in the left atrial conduit period（LAScd，LAScd-c），the longitudinal and circumferential strains in the left atrial contraction period（LASct，LASct-c），and the minimum left atrial volume index（LAVImin）. The differences in the above parameters between the two groups were compared. Univariate and multivariate Logistic regression analyses were used to analyze the independent influencing factors in HCM patients with HFpEF. The intraclass correlation coefficient was used to test the repeatability of the 4D Auto LAQ parameters.Results:Compared with the non-HF group，LAVmin，LAVmax，LAVpreA，LAVImin，and LAVImax increased，while LAEF，LASr，LAScd，LASct，LASr-c，LAScd-c，and LASct-c decreased in the HFpEF group（all P<0.05）. Multivariate Logistic regression analysis showed that LASr was the strongest independent influencing factor in patients with HCM combined with HFpEF（ OR=0.255， P=0.003）. The consistency test showed that the intraclass correlation coefficients of each parameters of 4D Auto LAQ were all>0.7，the consistency was good. Conclusions:4D Auto LAQ technology can be used to evaluate left atrial function in patients with HCM combined with HFpEF，and LASr is the strongest independent influence factor in patients with HCM combined with HFpEF.

Objective To identify the key influencing factors and role mechanisms of large-scale medical equip-ment allocation decision-making in public hospitals,and to provide a reference basis for optimizing resource alloca-tion strategies.Methods Through searching the literature related to large-scale medical equipment decision-making in public hospitals and combing the policies,the system of decision-making influencing factors was initially screened.The Delphi method and decision-making trial and evaluation laboratory method were used to obtain the key influencing factors of equipment allocation decision-making and to determine the interaction effects among the factors.Results A total of seven cause factors and nine effect factors were screened.Among them,cost-benefit analysis,equipment technical performance,and evaluation of similar equipment were the top three key drivers;leadership emphasis,equipment market price,and equipment supporting facilities were the top three key con-straints.Conclusion Priority be given to strengthening the management of driving factors,mainly by conducting a full-cycle assessment of cost-effectiveness,paying attention to the clinical value output of equipment technical performance,and monitoring regionally similar equipment.A dynamic response mechanism for constraints should be established,mainly to strengthen leadership decision-making,implement a centralized procurement price nego-tiation model and improve the pre-assessment system for ancillary facilities.

Objective To identify the key influencing factors and role mechanisms of large-scale medical equip-ment allocation decision-making in public hospitals,and to provide a reference basis for optimizing resource alloca-tion strategies.Methods Through searching the literature related to large-scale medical equipment decision-making in public hospitals and combing the policies,the system of decision-making influencing factors was initially screened.The Delphi method and decision-making trial and evaluation laboratory method were used to obtain the key influencing factors of equipment allocation decision-making and to determine the interaction effects among the factors.Results A total of seven cause factors and nine effect factors were screened.Among them,cost-benefit analysis,equipment technical performance,and evaluation of similar equipment were the top three key drivers;leadership emphasis,equipment market price,and equipment supporting facilities were the top three key con-straints.Conclusion Priority be given to strengthening the management of driving factors,mainly by conducting a full-cycle assessment of cost-effectiveness,paying attention to the clinical value output of equipment technical performance,and monitoring regionally similar equipment.A dynamic response mechanism for constraints should be established,mainly to strengthen leadership decision-making,implement a centralized procurement price nego-tiation model and improve the pre-assessment system for ancillary facilities.

Objective:To evaluate the left atrial structure and function in patients with non-obstructive hypertrophic cardiomyopathy（NOHCM）and atrial fibrillation（AF）using four-dimensional automatic left atrial quantification（4D Auto LAQ）technology，and to explore the correlation between left atrial remodeling and AF.Methods:Ninety patients with NOHCM treated in the First Affiliated Hospital of Zhengzhou University from May 2023 to September 2024 were prospectively selected and divided into AF group（ n=27）and non-AF group（ n=63）according to whether they had AF. Clinical data of all enrolled patients were collected，and two-dimensional，color Doppler，and tissue Doppler ultrasound parameters were measured. 4D Auto LAQ technology was used to obtain left atrial volume and strain parameters. Inter-group comparison，univariate and multivariate Logistic regression analysis，and repeatability test were used to analyze the data. Results:Compared with non-AF group，left atrial maximum volume index（LAVImax），left atrial minimum volume index（LAVImin）and left atrial pre-systolic volume index（LAVIpreA）were increased in the AF group，but left atrial total ejection fraction（LAEF），left atrial passive ejection fraction（LApEF），left atrial active ejection fraction（LAaEF）and the absolute values of left atrial reservoir longitudinal and circumferential strains（LASr，LASr-c），left atrial conduit longitudinal and circumferential strains（LAScd，LAScd-c）and left atrial contraction longitudinal and circumferential strains（LASct，LASct-c）were decreased（all P<0.05）. Multivariate Logistic regression analysis showed that LAVImin was independently associated with AF（ OR=0.837， P<0.001）. Conclusions:4D Auto LAQ can quantitatively evaluate the left atrial structure and function in patients with NOHCM and AF，and LAVImin is independently associated with the presence of AF.

Objective:To evaluate the left atrial function in patients with hypertrophic cardiomyopathy（HCM）combined with heart failure with preserved ejection fraction（HFpEF）using four-dimensional automated left atrial quantification（4D Auto LAQ）technology，and to investigate the independent factors affecting patients with HCM combined with HFpEF.Methods:One hundred HCM patients with left ventricular ejection fraction（LVEF）≥ 50% who were admitted to the First Affiliated Hospital of Zhengzhou University from September 2023 to March 2025 were prospectively selected. There were 50 cases in the HFpEF group and 50 cases in the non-HF group. The clinical data and conventional ultrasound parameters of HCM patients were collected. The 4D Auto LAQ technology was applied to obtain the four-dimensional volume and strain parameters of the left atrium，including the minimum left atrial volume（LAVmin），the maximum left atrial volume（LAVmax），the maximum left atrial volume index（LAVImax），the pre-atrial contraction volume（LAVpreA），the left atrial emptying volume（LAEV），the left atrial ejection fraction（LAEF），the longitudinal and circumferential strains in the left atrial reservoir period（LASr，LASr-c），the longitudinal and circumferential strains in the left atrial conduit period（LAScd，LAScd-c），the longitudinal and circumferential strains in the left atrial contraction period（LASct，LASct-c），and the minimum left atrial volume index（LAVImin）. The differences in the above parameters between the two groups were compared. Univariate and multivariate Logistic regression analyses were used to analyze the independent influencing factors in HCM patients with HFpEF. The intraclass correlation coefficient was used to test the repeatability of the 4D Auto LAQ parameters.Results:Compared with the non-HF group，LAVmin，LAVmax，LAVpreA，LAVImin，and LAVImax increased，while LAEF，LASr，LAScd，LASct，LASr-c，LAScd-c，and LASct-c decreased in the HFpEF group（all P<0.05）. Multivariate Logistic regression analysis showed that LASr was the strongest independent influencing factor in patients with HCM combined with HFpEF（ OR=0.255， P=0.003）. The consistency test showed that the intraclass correlation coefficients of each parameters of 4D Auto LAQ were all>0.7，the consistency was good. Conclusions:4D Auto LAQ technology can be used to evaluate left atrial function in patients with HCM combined with HFpEF，and LASr is the strongest independent influence factor in patients with HCM combined with HFpEF.

Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective:To understand the current situation of work performance and influencing factors of medical staff in tertiary hospitals in Henan Province,in order to provide references for improving their performance level.Methods:An electronic questionnaire was used to investigate the work engagement and work performance of medical staff in a sample hospital in Henan Province,and multiple regression analysis was used to explore the relationship between work engagement and work performance.Results:The total score of medical staff's job performance was 45.18±5.78;Cronbach's α coefficient of the questionnaire's reliability ranged from 0.870 to 0.964;medical staff's job commitment was positively correlated with their job performance;and the highest level of educational attainment,occupational category,and job commitment were the main influencing factors of job performance(P＜0.05).Conclusion:There is still much room for improvement in the work performance of medical staff in tertiary hospitals in Henan Province,and hospitals should focus on improving the work capacity of medical staff and actively improving work engagement in order to enhance the level of medical staff performance.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.