ObjectiveTo measure the distance from the surface of Fengfu （GV 16） to the deep important bony structures in children aged 4 to 8 years based on CT three-dimensional reconstruction technology， thereby providing imaging reference data for clinical acupuncture safe operations in terms of different age groups and needle insertion angles. MethodsCervical CT image data were collected from healthy children aged 4 to 8 years with five age groups （4-， 5-， 6-， 7-， 8-year-old groups）， 20 cases in each group. The images were imported into Mimics 21.0 software for three-dimensional reconstruction. The straight-line distances from the skin model surface of the Fengfu （GV 16） to the first underlying bony barrier （such as the lower edge of the occipital bone， the posterior arch of the atlas vertebra） were measured at intervals of 5° on both the transverse section （0° ± 35°） and the sagittal section （40° upward to 40° downward on the diagonal）. The correlation between the measured distance， age， and angle was analyzed. ResultsIn the transverse and sagittal sections， the measured distance from the skin surface to the underlying bone of Fengfu （GV 16） at each angle increased with age. In the transverse section， the increase was relatively small within the 0° to 20° angle range， whereas a more pronounced increase was observed when the angle exceeded 20°； at measurement angles of 30° to 35°， the distance of the skin surface to the bone at Fengfu （GV 16） in the 7- and 8-year-old groups was significantly greater than that in the 4-year-old group （P＜0.05）. In the sagittal section， the measured distance from the skin surface to the bone at Fengfu （GV 16） was shortest and changed greatly at oblique upward angles of 15° to 40° within each age group， and increased markedly at near-vertical angles of 0° to 10°； it was longest at oblique downward angles of -40° to -5° and showed relatively gradual changes. ConclusionThis study obtained the imaging distance data from Fengfu （GV 16） to the surrounding bony structures in children aged 4 to 8 years through three-dimensional modeling， finding that this distance has clear age and angle dependence， which can provide quantitative evidence for developing individualized and precise safe acupuncture schemes at Fengfu （GV 16） in pediatric clinical practice.

ObjectiveTo measure the distance from the surface of Fengfu （GV 16） to the deep important bony structures in children aged 4 to 8 years based on CT three-dimensional reconstruction technology， thereby providing imaging reference data for clinical acupuncture safe operations in terms of different age groups and needle insertion angles. MethodsCervical CT image data were collected from healthy children aged 4 to 8 years with five age groups （4-， 5-， 6-， 7-， 8-year-old groups）， 20 cases in each group. The images were imported into Mimics 21.0 software for three-dimensional reconstruction. The straight-line distances from the skin model surface of the Fengfu （GV 16） to the first underlying bony barrier （such as the lower edge of the occipital bone， the posterior arch of the atlas vertebra） were measured at intervals of 5° on both the transverse section （0° ± 35°） and the sagittal section （40° upward to 40° downward on the diagonal）. The correlation between the measured distance， age， and angle was analyzed. ResultsIn the transverse and sagittal sections， the measured distance from the skin surface to the underlying bone of Fengfu （GV 16） at each angle increased with age. In the transverse section， the increase was relatively small within the 0° to 20° angle range， whereas a more pronounced increase was observed when the angle exceeded 20°； at measurement angles of 30° to 35°， the distance of the skin surface to the bone at Fengfu （GV 16） in the 7- and 8-year-old groups was significantly greater than that in the 4-year-old group （P＜0.05）. In the sagittal section， the measured distance from the skin surface to the bone at Fengfu （GV 16） was shortest and changed greatly at oblique upward angles of 15° to 40° within each age group， and increased markedly at near-vertical angles of 0° to 10°； it was longest at oblique downward angles of -40° to -5° and showed relatively gradual changes. ConclusionThis study obtained the imaging distance data from Fengfu （GV 16） to the surrounding bony structures in children aged 4 to 8 years through three-dimensional modeling， finding that this distance has clear age and angle dependence， which can provide quantitative evidence for developing individualized and precise safe acupuncture schemes at Fengfu （GV 16） in pediatric clinical practice.

Objective To investigate the role of additional platelet protein kinase C epsilon(PKCε)assay in risk stratification and additional diagnostic testing in elderly patients with acute chest pain and normal hypersensitive cardiac troponin I(hs-cTnI)level.Methods A prospective trial was conducted on 220 consecutive elderly patients with angina-like acute chest pain and normal hs-cTnI level in our hospital from April 2022 to April 2023.According to whether major adverse cardiovascular events(MACE)occurred during the 1-year follow-up period,they were assigned in-to MACE group(24 cases)and non-MACE group(196 cases).Their general clinical data and platelet PKCε expression were compared between the two groups.Kaplan-Meier survival curve was plotted to analyzed the event-free time between the platelet PKCε expression＜2.05％group and the≥2.05％group.Multivariate Cox regression analysis was used to investigate the impact of baseline data on the occurrence of MACE during the 1-year follow-up period.Decision tree model was employed to analyze the influencing factors for MACE.Results During 1-year follow-up,24 patients(10.91％)developed MACE.The platelet PKCε expression was significantly higher in the MACE group than the non-MACE group[9.25％(6.60％,15.25％)vs 1.70％(0.80％,3.25％),Z=-7.596,P＜0.01].Kaplan-Meier survival curve analysis showed that the patients in the PKCε＜2.05％group had no events within 360 d,while those in the ≥2.05％group had an average event-free time of 297.13±12.77 d,with a statistical difference(log rank Chi-square=27.051,P=0.000).Multivariate Cox regression analysis showed that highly suspicious angina,hs-cTnI and platelet PKCε were independent risk factors for MACE within 1 year of follow-up(HR=3.011,95％CI:1.049-8.641,P=0.040;HR=1.216,95％CI:1.044-1.418,P=0.012;HR=1.160,95％CI:1.104-1.218,P=0.000).In the decision tree model,the 1-year incidence of MACE was notably higher in the platelet PKCε≥2.05％group than the＜2.05％group(P=0.011).The probability of severe coronary artery stenosis or myocardial ischemia in the platelet PKCε≥2.05％group was remarkably higher than the＜2.05％group(P=0.006).Conclusion In elderly patients suffering from acute chest pain with normal hs-cTnI level,additional platelet PKCε detection appears to have a good prognostic gain.

Objective To investigate the relationship between the mRNA expression levels of colony stimulating factor 2 receptor subunit beta CSF2RB and granase A(GZMA)in peripheral blood mononuclear cells(PBMC)of patients with acute myocardial infarction(AMI)and ventricular remodeling after percutaneous coronary intervention(PCI).Methods A total of 161 AMI patients admitted to the First Affiliated Hospital of Hebei North University from February 2022 to August 2023 were selected as the study objects,and were further divided into non-remodeling group(n=105)and remodeling group(n=56)according to whether ventricular remodeling was possible.A total of 85 patients with coronary heart disease who did not have myocardial infarction were taken as control group.The clinical data of patients were collected,and the expression levels of CSF2RB and GZMA mRNA in peripheral blood mononuclear cells were detected by real-time fluorescence quantitative PCR.Cardiac structural parameters were detected by echocardiography,and the relationship between CSF2RB and GZMA mRNA levels and cardiac structural parameters was analyzed by Pearson correlation.The influencing factors of ventricular remodeling in AMI patients were analyzed by univariate and Logistic regression,and P<0.05 was considered statistically significant.Results The mRNA expression of CSF2RB(1.15±0.28 vs 1.80±0.37),GZMA(0.85±0.16 vs 1.15±0.26),Cys C and Hcy levels were compared between the two groups,and the differences were statistically significant(t=-39.002～-4.854,all P<0.05).The follow-up was up to August 2024.Among 161 AMI patients who underwent PCI,56 cases had ventricular remodeling.The expression level of CSF2RB mRNA(1.85±0.31),GZMA mRNA(1.27±0.29)in the reconstructed group were significantly higher than that in the non-reconstructed group(1.71±0.34,1.12±0.30),and the differences were statistically significant(t=2.564,3.057,all P<0.001).LAD,LVEDD,LVPWTd and IVST in the postoperative reconstruction group were higher than those in the non-reconstruction group(t=11.247～26.008),and LVEF was lower than that in the reconstruction group(t=-15.271),with statistical significance(all P<0.001).The level of CSF2RB and GZMA in AMI patients was positively correlated with LAD,LVEDD,LVPWTd and IVST(rCSF2RB mRNA=0.657～0.754,rGZMA mRNA=0.512～0.745),and negatively correlated with LVEF(r=-0.684,-0.754),with statistical significance(all P<0.05).There was a statistically significant differences in the levels of Cys C and Hcy between the reconstructed group and non-reconstructed group after the use of aldehyed steroid receptor antagonsts(t=5.495,20.710,30.906,all P<0.05).Logistic regression analysis showed that CSF2RBmRNA＞1.79,GZMAmRNA＞1.18,Hcy＞20.15μmol/L and no use of aldosterol receptorantagonists were independent risk factors for ventricular remodeling in AMI patients.LVEF＞58.11%was an independent protective factor for ventricular remodeling in AMI patients(Wald χ2=1.137～3.206,P<0.05).Conclusion The expression levels of CSF2RB and GZMA in PBMC of AMI patients were significantly increased.CSF2RB and GZMA are independent risk factors for postoperative ventricular remodeling in patients with AMI,and can be used as potential diagnostic markers for ventricular remodeling after acute myocardial infarction.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective:To Exploring the protective effect of hearing protectors worn by noise workers in the petrochemical industry and the factors affecting the protective effect of hearing protectors.Methods:From June 2021 to July 2023, 929 petrochemical workers were selected as the research subjects through cluster sampling. The noise exposure of workers and the usage of two types of hearing protectors were surveyed through questionnaire surveys and on-site occupational hygiene surveys. The protective effect of hearing protectors were evaluated by testing the PAR of workers. If the noise exposure value of workers minus the PAR value was less than 85 dB (A) , it was considered passed. Otherwise, it was considered not passed. The passing rate of the protective effect test of hearing protectors was analyzed through chi square test and the influencing factors for the effectiveness of workers hearing protectors in test were explored through single factor analysis and logistic regression models.Results:Among the research subjects, 80.5% of workers (748/929) had noise exposure levels greater than 85 dB (A) . The passing rate (80.9%) of the earmuff is greater than that of the earplug (52.6%) , and the median of PAR of the earmuff is 22 (16, 25) , which is greater than that of the earplug 15 (3, 22) dB dB, with a statistically significant difference ( P<0.001) . Univariate analysis and logistic regression models showed that length of service, exposure level to noise, and wearing comfort were the influencing factors of earplug protection effect ( P<0.05) , while wearing comfort was the influencing factor of earmuff protection effect ( P<0.05) . Conclusion:This study indicates that the protective effect of hearing protectors on workers in the petrochemical enterprise is poor, and the protective effect of earmuffs is greater than that of earplugs. Working experience, noise exposure level, and wearing comfort are the influencing factors of earplug protection effect, while wearing comfort is the influencing factor of earplug protection effect.

Objective To investigate the role of additional platelet protein kinase C epsilon(PKCε)assay in risk stratification and additional diagnostic testing in elderly patients with acute chest pain and normal hypersensitive cardiac troponin I(hs-cTnI)level.Methods A prospective trial was conducted on 220 consecutive elderly patients with angina-like acute chest pain and normal hs-cTnI level in our hospital from April 2022 to April 2023.According to whether major adverse cardiovascular events(MACE)occurred during the 1-year follow-up period,they were assigned in-to MACE group(24 cases)and non-MACE group(196 cases).Their general clinical data and platelet PKCε expression were compared between the two groups.Kaplan-Meier survival curve was plotted to analyzed the event-free time between the platelet PKCε expression＜2.05％group and the≥2.05％group.Multivariate Cox regression analysis was used to investigate the impact of baseline data on the occurrence of MACE during the 1-year follow-up period.Decision tree model was employed to analyze the influencing factors for MACE.Results During 1-year follow-up,24 patients(10.91％)developed MACE.The platelet PKCε expression was significantly higher in the MACE group than the non-MACE group[9.25％(6.60％,15.25％)vs 1.70％(0.80％,3.25％),Z=-7.596,P＜0.01].Kaplan-Meier survival curve analysis showed that the patients in the PKCε＜2.05％group had no events within 360 d,while those in the ≥2.05％group had an average event-free time of 297.13±12.77 d,with a statistical difference(log rank Chi-square=27.051,P=0.000).Multivariate Cox regression analysis showed that highly suspicious angina,hs-cTnI and platelet PKCε were independent risk factors for MACE within 1 year of follow-up(HR=3.011,95％CI:1.049-8.641,P=0.040;HR=1.216,95％CI:1.044-1.418,P=0.012;HR=1.160,95％CI:1.104-1.218,P=0.000).In the decision tree model,the 1-year incidence of MACE was notably higher in the platelet PKCε≥2.05％group than the＜2.05％group(P=0.011).The probability of severe coronary artery stenosis or myocardial ischemia in the platelet PKCε≥2.05％group was remarkably higher than the＜2.05％group(P=0.006).Conclusion In elderly patients suffering from acute chest pain with normal hs-cTnI level,additional platelet PKCε detection appears to have a good prognostic gain.

Objective To investigate the relationship between the mRNA expression levels of colony stimulating factor 2 receptor subunit beta CSF2RB and granase A(GZMA)in peripheral blood mononuclear cells(PBMC)of patients with acute myocardial infarction(AMI)and ventricular remodeling after percutaneous coronary intervention(PCI).Methods A total of 161 AMI patients admitted to the First Affiliated Hospital of Hebei North University from February 2022 to August 2023 were selected as the study objects,and were further divided into non-remodeling group(n=105)and remodeling group(n=56)according to whether ventricular remodeling was possible.A total of 85 patients with coronary heart disease who did not have myocardial infarction were taken as control group.The clinical data of patients were collected,and the expression levels of CSF2RB and GZMA mRNA in peripheral blood mononuclear cells were detected by real-time fluorescence quantitative PCR.Cardiac structural parameters were detected by echocardiography,and the relationship between CSF2RB and GZMA mRNA levels and cardiac structural parameters was analyzed by Pearson correlation.The influencing factors of ventricular remodeling in AMI patients were analyzed by univariate and Logistic regression,and P<0.05 was considered statistically significant.Results The mRNA expression of CSF2RB(1.15±0.28 vs 1.80±0.37),GZMA(0.85±0.16 vs 1.15±0.26),Cys C and Hcy levels were compared between the two groups,and the differences were statistically significant(t=-39.002～-4.854,all P<0.05).The follow-up was up to August 2024.Among 161 AMI patients who underwent PCI,56 cases had ventricular remodeling.The expression level of CSF2RB mRNA(1.85±0.31),GZMA mRNA(1.27±0.29)in the reconstructed group were significantly higher than that in the non-reconstructed group(1.71±0.34,1.12±0.30),and the differences were statistically significant(t=2.564,3.057,all P<0.001).LAD,LVEDD,LVPWTd and IVST in the postoperative reconstruction group were higher than those in the non-reconstruction group(t=11.247～26.008),and LVEF was lower than that in the reconstruction group(t=-15.271),with statistical significance(all P<0.001).The level of CSF2RB and GZMA in AMI patients was positively correlated with LAD,LVEDD,LVPWTd and IVST(rCSF2RB mRNA=0.657～0.754,rGZMA mRNA=0.512～0.745),and negatively correlated with LVEF(r=-0.684,-0.754),with statistical significance(all P<0.05).There was a statistically significant differences in the levels of Cys C and Hcy between the reconstructed group and non-reconstructed group after the use of aldehyed steroid receptor antagonsts(t=5.495,20.710,30.906,all P<0.05).Logistic regression analysis showed that CSF2RBmRNA＞1.79,GZMAmRNA＞1.18,Hcy＞20.15μmol/L and no use of aldosterol receptorantagonists were independent risk factors for ventricular remodeling in AMI patients.LVEF＞58.11%was an independent protective factor for ventricular remodeling in AMI patients(Wald χ2=1.137～3.206,P<0.05).Conclusion The expression levels of CSF2RB and GZMA in PBMC of AMI patients were significantly increased.CSF2RB and GZMA are independent risk factors for postoperative ventricular remodeling in patients with AMI,and can be used as potential diagnostic markers for ventricular remodeling after acute myocardial infarction.

Objective:To Exploring the protective effect of hearing protectors worn by noise workers in the petrochemical industry and the factors affecting the protective effect of hearing protectors.Methods:From June 2021 to July 2023, 929 petrochemical workers were selected as the research subjects through cluster sampling. The noise exposure of workers and the usage of two types of hearing protectors were surveyed through questionnaire surveys and on-site occupational hygiene surveys. The protective effect of hearing protectors were evaluated by testing the PAR of workers. If the noise exposure value of workers minus the PAR value was less than 85 dB (A) , it was considered passed. Otherwise, it was considered not passed. The passing rate of the protective effect test of hearing protectors was analyzed through chi square test and the influencing factors for the effectiveness of workers hearing protectors in test were explored through single factor analysis and logistic regression models.Results:Among the research subjects, 80.5% of workers (748/929) had noise exposure levels greater than 85 dB (A) . The passing rate (80.9%) of the earmuff is greater than that of the earplug (52.6%) , and the median of PAR of the earmuff is 22 (16, 25) , which is greater than that of the earplug 15 (3, 22) dB dB, with a statistically significant difference ( P<0.001) . Univariate analysis and logistic regression models showed that length of service, exposure level to noise, and wearing comfort were the influencing factors of earplug protection effect ( P<0.05) , while wearing comfort was the influencing factor of earmuff protection effect ( P<0.05) . Conclusion:This study indicates that the protective effect of hearing protectors on workers in the petrochemical enterprise is poor, and the protective effect of earmuffs is greater than that of earplugs. Working experience, noise exposure level, and wearing comfort are the influencing factors of earplug protection effect, while wearing comfort is the influencing factor of earplug protection effect.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.