论文部分内容阅读
对10例肺通气功能正常、10例大致正常及30例慢性阻塞性肺疾病(COPD)患者进行F-V曲线测定,并由IBM-286微机分析计算吸气部分(MIFV)和呼气部分(MEFV)各指标值,同时用改良的Black法测定口腔最大呼气压(MEP)和口腔最大吸气压(MIP)。测定结果经相关分析发现,MEFV和MIFV多数指标实测值(如FIV、VCin、PIF、AIX、MMIF、PIFV、VI75、VI50、VI25、FIV 0.5、FIV 1.0、FVC、VC、PEF、AEX、MMEF、PEFV、VE75、VE50、VE25、FEV 0.5、FEV 1.0等指标)与MEP和MIP明显相关。因此可用F-V曲线一些指标来评价呼吸肌力的强度。经F-V时间容量分析可了解呼吸肌驱动力变化情况及肺组织呼吸动力学变化机制。
FV curve was measured in 10 patients with normal pulmonary function, 10 normal and 30 patients with chronic obstructive pulmonary disease (COPD). The MIFV and MEFV were calculated by IBM-286 computer. Each index value, meanwhile, the maximum mouth expiratory pressure (MEP) and maximal oral suction pressure (MIP) were measured by modified Black method. The results of the correlation analysis showed that most of MEFV and MIFV indicators (such as FIV, VCin, PIF, AIX, MMIF, PIFV, VI75, VI50, VI25, FIV 0.5, FIV 1.0, FVC, VC, PEF, AEX, MMEF, PEFV, VE75, VE50, VE25, FEV0.5, FEV 1.0 and other indicators) were significantly correlated with MEP and MIP. Therefore, F-V curve can be used to evaluate some indicators of respiratory muscle strength. F-V time capacity analysis can understand the driving force of respiratory muscle changes and lung tissue respiratory dynamics changes.