目的:探讨红细胞参数在肾性贫血患者中的检测价值分析。方法:选取2022年1月至2025年5月间收治贫血患者73例,健康人群30例,收治患者后对比四组红细胞压积(Hematocrit,HCT)、平均红细胞血红蛋白浓度(Mean corpuscular hemoglobin concentr...目的:探讨红细胞参数在肾性贫血患者中的检测价值分析。方法:选取2022年1月至2025年5月间收治贫血患者73例,健康人群30例,收治患者后对比四组红细胞压积(Hematocrit,HCT)、平均红细胞血红蛋白浓度(Mean corpuscular hemoglobin concentration,MCHC)、红细胞体积分布宽度标准差(Standard deviation of red blood cell volume distribution width,RDW-SD)和红细胞体积分布宽度变异系数(Coefficient variation of red blood cell volume distribution width,RDW-CV)以及观察组治疗后指标变化。结果:观察组HCT、MCHC、RDW-SD、RDW-CV指标均显著低于对照C组,(P<0.05),与对照A组、对照B组无显著差异,(P>0.05)。经治疗后,观察组各指标与治疗前差异显著,(P<0.05)。结论:HCT、MCHC、RDW-SD、RDW-CV检测可提高慢性肾脏病患者肾性贫血诊断准确率,提升治疗效果。展开更多
AIM：To evaluate and compare structural optical coherence tomography（OCT）-based parameters,such as Bruch’s membrane opening-minimum rim width（BMO-MRW）,and retinal nerve fiber layer（RNFL）thickness in glaucoma pa...AIM：To evaluate and compare structural optical coherence tomography（OCT）-based parameters,such as Bruch’s membrane opening-minimum rim width（BMO-MRW）,and retinal nerve fiber layer（RNFL）thickness in glaucoma patients with visual field（VF）defects,and to correlate both to mean deviation（MD）values of obtained standard achromatic perimetry（SAP）examinations.METHODS：Patients with glaucoma and glaucomatous VF defects were enrolled in this prospective study and compared to age-matched healthy individuals.All study participants underwent a full ophthalmic examination and VF testing with SAP.Peripapillary RNFL thickness and BMO-MRW were acquired with SD-OCT.Correlation analyses between obtained global functional and global as well as sectorial structural parameters were calculated.RESULTS：A consecutive series of 30 glaucomatous right eyes of 30 patients were included and compared to 36healthy right eyes of 36 individuals in the control group.Global MD of values correlated significantly with global RNFL（Pearson corr.coeff：0.632,P=0.001）and global BMO-MRW（Pearson corr.coeff：0.746,P〈0.001）values in the glaucoma group.Global MD and sectorial RNFL or BMO-MRW values correlated less significantly.In the control group,MD values did not correlate with RNFL or BMO-MRW measurements.A subgroup analysis of myopic patients（〉4 diopters）within the glaucoma group（n=6）revealed a tendency for higher correlations between MD and BMO-MRW than MD and RNFL measurements.CONCLUSION：In a clinical setting,RNFL thickness and BMO-MRW correlate similarly with global VF sensitivity in glaucoma patients with BMO-MRW showing higher correlations in myopic glaucoma patients.展开更多
We present here a two-step method of classification and calculation for decay rates in the Standard Model. The first step is a phenomenological classification method, which is an extended and improved schematic experi...We present here a two-step method of classification and calculation for decay rates in the Standard Model. The first step is a phenomenological classification method, which is an extended and improved schematic experimental formula for decay width originally introduced by Chang. This schematic formula separates decays into seven classes. Furthermore, from it is derived a process-specific interaction energy m<sub>X</sub>. The second step is a numerical calculation method, which calculates this interaction energy m<sub>X</sub> numerically by minimization of action from the Lagrangian of the process, from which follows the decay width via the phenomenological formula. The Lagrangian is based on an extension of the Standard Model, the extended SU(4)-preon-model. A comparison of numerically calculated and observed decay widths for a large selection of decays shows a good agreement.展开更多
文摘目的:探讨红细胞参数在肾性贫血患者中的检测价值分析。方法:选取2022年1月至2025年5月间收治贫血患者73例,健康人群30例,收治患者后对比四组红细胞压积(Hematocrit,HCT)、平均红细胞血红蛋白浓度(Mean corpuscular hemoglobin concentration,MCHC)、红细胞体积分布宽度标准差(Standard deviation of red blood cell volume distribution width,RDW-SD)和红细胞体积分布宽度变异系数(Coefficient variation of red blood cell volume distribution width,RDW-CV)以及观察组治疗后指标变化。结果:观察组HCT、MCHC、RDW-SD、RDW-CV指标均显著低于对照C组,(P<0.05),与对照A组、对照B组无显著差异,(P>0.05)。经治疗后,观察组各指标与治疗前差异显著,(P<0.05)。结论:HCT、MCHC、RDW-SD、RDW-CV检测可提高慢性肾脏病患者肾性贫血诊断准确率,提升治疗效果。
文摘AIM：To evaluate and compare structural optical coherence tomography（OCT）-based parameters,such as Bruch’s membrane opening-minimum rim width（BMO-MRW）,and retinal nerve fiber layer（RNFL）thickness in glaucoma patients with visual field（VF）defects,and to correlate both to mean deviation（MD）values of obtained standard achromatic perimetry（SAP）examinations.METHODS：Patients with glaucoma and glaucomatous VF defects were enrolled in this prospective study and compared to age-matched healthy individuals.All study participants underwent a full ophthalmic examination and VF testing with SAP.Peripapillary RNFL thickness and BMO-MRW were acquired with SD-OCT.Correlation analyses between obtained global functional and global as well as sectorial structural parameters were calculated.RESULTS：A consecutive series of 30 glaucomatous right eyes of 30 patients were included and compared to 36healthy right eyes of 36 individuals in the control group.Global MD of values correlated significantly with global RNFL（Pearson corr.coeff：0.632,P=0.001）and global BMO-MRW（Pearson corr.coeff：0.746,P〈0.001）values in the glaucoma group.Global MD and sectorial RNFL or BMO-MRW values correlated less significantly.In the control group,MD values did not correlate with RNFL or BMO-MRW measurements.A subgroup analysis of myopic patients（〉4 diopters）within the glaucoma group（n=6）revealed a tendency for higher correlations between MD and BMO-MRW than MD and RNFL measurements.CONCLUSION：In a clinical setting,RNFL thickness and BMO-MRW correlate similarly with global VF sensitivity in glaucoma patients with BMO-MRW showing higher correlations in myopic glaucoma patients.
文摘We present here a two-step method of classification and calculation for decay rates in the Standard Model. The first step is a phenomenological classification method, which is an extended and improved schematic experimental formula for decay width originally introduced by Chang. This schematic formula separates decays into seven classes. Furthermore, from it is derived a process-specific interaction energy m<sub>X</sub>. The second step is a numerical calculation method, which calculates this interaction energy m<sub>X</sub> numerically by minimization of action from the Lagrangian of the process, from which follows the decay width via the phenomenological formula. The Lagrangian is based on an extension of the Standard Model, the extended SU(4)-preon-model. A comparison of numerically calculated and observed decay widths for a large selection of decays shows a good agreement.
