Pneumoconiosis refers to a group of interstitial lung diseases that arise from the prolonged inhalation of occupational dust,resulting in chronic inflammation,immune dysregulation,and lung fibrosis[1].According to the...Pneumoconiosis refers to a group of interstitial lung diseases that arise from the prolonged inhalation of occupational dust,resulting in chronic inflammation,immune dysregulation,and lung fibrosis[1].According to the 2019 Burden of Disease database,there are currently 3.1 million cases of pneumoconiosis worldwide,with developing countries such as China experiencing a particularly significant burden.The complex pathogenesis of pneumoconiosis,along with the irreversible nature of pulmonary fibrosis,has led to a scarcity of effective therapeutic options.While the aetiology of pneumoconiosis is well established,additional factors,including diet,genetic susceptibility,and lifestyle habits,may influence an individual’s risk of developing the disease or its progression.Notably,moderate intake of polyunsaturated fatty acids(PUFAs)has been associated with a reduced risk of chronic respiratory diseases and the modulation of lung inflammation through the regulation of antioxidant signaling pathways[2].However,the potential impact of PUFAs on pneumoconiosis remains an area requiring further investigation.展开更多
Objective:To investigate the associations between ocular parameters-mean keratometry(Km),spherical equivalent(SE),central corneal thickness(CCT),axial length(AL),corneal hysteresis(CH),and corneal resistance factor(CR...Objective:To investigate the associations between ocular parameters-mean keratometry(Km),spherical equivalent(SE),central corneal thickness(CCT),axial length(AL),corneal hysteresis(CH),and corneal resistance factor(CRF)-and intraocular pressure(IOP)measurements obtained by non-contact tonometry(IOP NCT),Schiøtz tonometry(IOP_(Schiøtz)),dynamic contour tonometry(IOP_(DCT)),corneal-compensated(IOP_(cc)),and Goldmann-correlated IOP(IOP_(g))in a myopic population.Correlation and regression analyses were performed to identify the IOP measurement method least affected by ocular parameters.An optimized prediction model was then constructed based on conventional tonometry.Methods:This study included 64 patients(128 eyes).All participants underwent comprehensive ocular examinations(CCT,AL,SE,Km,CH,and CRF)and IOP measurements using multiple tonometers.Pearson correlation and multiple linear regression analyses were employed to identify key influencers on IOP readings.An optimized prediction model was subsequently developed using NCT,CCT,CH,and CRF as independent variables,and its goodness-of-fit was evaluated.Results:Age,AL,Km,IOP_(Schiøtz),IOP_(DCT),IOP_(cc),and IOP_(g)showed statistically significant differences between sexes.Multiple regression identified CRF as the strongest positive predictor for all IOP measurements(P<0.001),while CH was a consistent negative predictor(P<0.01).Notably,dynamic contour tonometry(DCT)demonstrated the smallest regression coefficients for CH(B=-0.745)and CRF(B=0.812),indicating minimal influence from corneal parameters.An optimized prediction model was developed:DCTpred=18.657+0.394×NCT-0.008×CCT-0.415×CH+0.107×CRF(MSE=3.30).Conclusions:DCT measurements were less influenced by CCT,CH,and CRF,supporting their potential reliability for IOP assessment in patients with myopia.The optimized prediction model based on multiple regression analysis was able to predict DCT values to some extent,thereby reducing the influence of corneal biomechanical properties on IOP measurement.However,the model requires further validation and refinement in studies with larger sample sizes.展开更多
基金the Central Guidance for Regional Science and Technology Development Projects(YDZJSX2024B010)Research project of Shanxi Provincial Health Commission(2023XG019).
文摘Pneumoconiosis refers to a group of interstitial lung diseases that arise from the prolonged inhalation of occupational dust,resulting in chronic inflammation,immune dysregulation,and lung fibrosis[1].According to the 2019 Burden of Disease database,there are currently 3.1 million cases of pneumoconiosis worldwide,with developing countries such as China experiencing a particularly significant burden.The complex pathogenesis of pneumoconiosis,along with the irreversible nature of pulmonary fibrosis,has led to a scarcity of effective therapeutic options.While the aetiology of pneumoconiosis is well established,additional factors,including diet,genetic susceptibility,and lifestyle habits,may influence an individual’s risk of developing the disease or its progression.Notably,moderate intake of polyunsaturated fatty acids(PUFAs)has been associated with a reduced risk of chronic respiratory diseases and the modulation of lung inflammation through the regulation of antioxidant signaling pathways[2].However,the potential impact of PUFAs on pneumoconiosis remains an area requiring further investigation.
文摘Objective:To investigate the associations between ocular parameters-mean keratometry(Km),spherical equivalent(SE),central corneal thickness(CCT),axial length(AL),corneal hysteresis(CH),and corneal resistance factor(CRF)-and intraocular pressure(IOP)measurements obtained by non-contact tonometry(IOP NCT),Schiøtz tonometry(IOP_(Schiøtz)),dynamic contour tonometry(IOP_(DCT)),corneal-compensated(IOP_(cc)),and Goldmann-correlated IOP(IOP_(g))in a myopic population.Correlation and regression analyses were performed to identify the IOP measurement method least affected by ocular parameters.An optimized prediction model was then constructed based on conventional tonometry.Methods:This study included 64 patients(128 eyes).All participants underwent comprehensive ocular examinations(CCT,AL,SE,Km,CH,and CRF)and IOP measurements using multiple tonometers.Pearson correlation and multiple linear regression analyses were employed to identify key influencers on IOP readings.An optimized prediction model was subsequently developed using NCT,CCT,CH,and CRF as independent variables,and its goodness-of-fit was evaluated.Results:Age,AL,Km,IOP_(Schiøtz),IOP_(DCT),IOP_(cc),and IOP_(g)showed statistically significant differences between sexes.Multiple regression identified CRF as the strongest positive predictor for all IOP measurements(P<0.001),while CH was a consistent negative predictor(P<0.01).Notably,dynamic contour tonometry(DCT)demonstrated the smallest regression coefficients for CH(B=-0.745)and CRF(B=0.812),indicating minimal influence from corneal parameters.An optimized prediction model was developed:DCTpred=18.657+0.394×NCT-0.008×CCT-0.415×CH+0.107×CRF(MSE=3.30).Conclusions:DCT measurements were less influenced by CCT,CH,and CRF,supporting their potential reliability for IOP assessment in patients with myopia.The optimized prediction model based on multiple regression analysis was able to predict DCT values to some extent,thereby reducing the influence of corneal biomechanical properties on IOP measurement.However,the model requires further validation and refinement in studies with larger sample sizes.
