Objective This study aimed to explore the correlation between abnormal hand features and coronary atherosclerotic heart disease(CHD)to provide clinical data support for digitalized traditional Chinese medicine(TCM)hand diagnosis.Methods A palm key point prediction algorithm was used to automatically capture and collect detailed features of the palm and nails through image analysis and data mining using the hand diagnosis information collection technology based on the NVIDIA Jetson platform and Qt framework.A total of 438 cardiac patients who underwent coronary artery computed tomography angiography(CACTA)in the Department of Cardiology,Dongzhimen Hospital,Beijing University of Chinese Medicine,from December 2023 to April 2024 were included and divided into CHD(148 cases)and non-CHD groups(290 cases)based on the CACTA results.The hand features of the two groups were compared,and abnormal hand features associated with CHD were screened using random forest analysis as well as univariate and multivariate logistic regression analyses.Results Based on the results of univariate logistic regression and random forest analyses,a set of hand-related features associated with CHD were identified and subsequently included in the multivariate logistic regression analysis.These features included the morphology of the thenar eminence,the wrinkles of the thenar eminence,nail shape,nail texture,and the length of the blood vessel in the middle finger.Multivariate logistic regression analysis revealed that hypertrophic thenar eminence[odds ratio(OR):3.049,95%confidence interval(CI):1.430-6.503,P=0.004],presence of wrinkles on the thenar eminence(OR:2.206,95%CI:1.119-4.348,P=0.022),presence of gray-black vertical stripes on the nails(OR:1.981,95%CI:1.173-3.347,P=0.011),uneven nail surface(OR:3.130,95%CI:1.822-5.378,P<0.001),and inward-bending nail surface(OR:5.727,95%CI:1.812-18.102,P=0.003)were positively associated with CHD.In contrast,the blood vessel in the middle finger longer than 1/3 of the phalanx was negatively associated with CHD(OR:0.405,95%CI:0.234-0.702,P=0.001).Conclusion Certain hand features are significantly associated with CHD,providing the valuable clinical data to support for the digitalization of TCM hand diagnosis.

Objective This study aimed to explore the correlation between abnormal hand features and coronary atherosclerotic heart disease(CHD)to provide clinical data support for digitalized traditional Chinese medicine(TCM)hand diagnosis.Methods A palm key point prediction algorithm was used to automatically capture and collect detailed features of the palm and nails through image analysis and data mining using the hand diagnosis information collection technology based on the NVIDIA Jetson platform and Qt framework.A total of 438 cardiac patients who underwent coronary artery computed tomography angiography(CACTA)in the Department of Cardiology,Dongzhimen Hospital,Beijing University of Chinese Medicine,from December 2023 to April 2024 were included and divided into CHD(148 cases)and non-CHD groups(290 cases)based on the CACTA results.The hand features of the two groups were compared,and abnormal hand features associated with CHD were screened using random forest analysis as well as univariate and multivariate logistic regression analyses.Results Based on the results of univariate logistic regression and random forest analyses,a set of hand-related features associated with CHD were identified and subsequently included in the multivariate logistic regression analysis.These features included the morphology of the thenar eminence,the wrinkles of the thenar eminence,nail shape,nail texture,and the length of the blood vessel in the middle finger.Multivariate logistic regression analysis revealed that hypertrophic thenar eminence[odds ratio(OR):3.049,95%confidence interval(CI):1.430-6.503,P=0.004],presence of wrinkles on the thenar eminence(OR:2.206,95%CI:1.119-4.348,P=0.022),presence of gray-black vertical stripes on the nails(OR:1.981,95%CI:1.173-3.347,P=0.011),uneven nail surface(OR:3.130,95%CI:1.822-5.378,P<0.001),and inward-bending nail surface(OR:5.727,95%CI:1.812-18.102,P=0.003)were positively associated with CHD.In contrast,the blood vessel in the middle finger longer than 1/3 of the phalanx was negatively associated with CHD(OR:0.405,95%CI:0.234-0.702,P=0.001).Conclusion Certain hand features are significantly associated with CHD,providing the valuable clinical data to support for the digitalization of TCM hand diagnosis.

Objective:To understand the hearing loss status of workers exposed to noise, and provide a scientific basis for formulating effective prevention and control strategies.Methods:From Januaryl to October 31 , 2018, through the occupational hazard declaration and record management system of the workplace and the health checkup system , the basic information and physical examination information of 7806 noise-exposed workers in 136 companies in Zhuzhou City in 2018 and the related information about the industry, type, and scale of the enterprises were collected. The χ 2 test was used to analyze the occupational health monitoring data of the noise-exposed workers. Results:The average age of 7806 workers in Zhuzhou was(36. 1±9. 3) years, and the working age was 7. 0(3. 0, 11. 0) years. And 1 270 workers with noise induced hearing loss(NIHL) were detected, including 51 suspected occupational noise deafness. The detection rates of NIHL and the suspected occupational noise deafness were 16. 27% , 0. 65% , respectively. The detection rate of noise was 0.01% in 1deaf person. It showed that the male had higher morbidity than the female ( P<0. 05) and the workers with longer exposure time had a higher morbidity ( P<0. 05) . There was a statistically significant difference in the detection rate of NIHL and suspected occupational noise deafness between workers of different types of work ( P<0. 05 ) . It was noted that the morbidity varied in different enterprises, industry types and terms of scales ( P<0. 05 ) . Non- metal ore mining and dressing industry workers had higher NIHL detection rate (33. 33%, 14/42) and small companies workers had higher NIHL detection rate(19. 32%, 296/1532) . There was a statistically significant difference in the detection rate of suspected occupational noise deafness between workers of different economic types of enterprises. There was a high detection rate of suspected occupational noise deafness among workers in private enterprises(1. 29%, 36/2782) . Conclusion:The noise operation in Zhuzhou is seriously endangered.Occupational health protection measures for non-metallic mining and dressing industries, small and private enterprises should be strengthened.Occupational health law enforcement efforts should be strengthened to protect workers' health.

Objective:To understand the hearing loss status of workers exposed to noise, and provide a scientific basis for formulating effective prevention and control strategies.Methods:From Januaryl to October 31 , 2018, through the occupational hazard declaration and record management system of the workplace and the health checkup system , the basic information and physical examination information of 7806 noise-exposed workers in 136 companies in Zhuzhou City in 2018 and the related information about the industry, type, and scale of the enterprises were collected. The χ 2 test was used to analyze the occupational health monitoring data of the noise-exposed workers. Results:The average age of 7806 workers in Zhuzhou was(36. 1±9. 3) years, and the working age was 7. 0(3. 0, 11. 0) years. And 1 270 workers with noise induced hearing loss(NIHL) were detected, including 51 suspected occupational noise deafness. The detection rates of NIHL and the suspected occupational noise deafness were 16. 27% , 0. 65% , respectively. The detection rate of noise was 0.01% in 1deaf person. It showed that the male had higher morbidity than the female ( P<0. 05) and the workers with longer exposure time had a higher morbidity ( P<0. 05) . There was a statistically significant difference in the detection rate of NIHL and suspected occupational noise deafness between workers of different types of work ( P<0. 05 ) . It was noted that the morbidity varied in different enterprises, industry types and terms of scales ( P<0. 05 ) . Non- metal ore mining and dressing industry workers had higher NIHL detection rate (33. 33%, 14/42) and small companies workers had higher NIHL detection rate(19. 32%, 296/1532) . There was a statistically significant difference in the detection rate of suspected occupational noise deafness between workers of different economic types of enterprises. There was a high detection rate of suspected occupational noise deafness among workers in private enterprises(1. 29%, 36/2782) . Conclusion:The noise operation in Zhuzhou is seriously endangered.Occupational health protection measures for non-metallic mining and dressing industries, small and private enterprises should be strengthened.Occupational health law enforcement efforts should be strengthened to protect workers' health.