作者: Sandeep Bodduluri , Surya P Bhatt , Eric A Hoffman , John D Newell , Carlos H Martinez
DOI: 10.1136/THORAXJNL-2016-209544
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摘要: Background Traditional metrics of lung disease such as those derived from spirometry and static single-volume CT images are used to explain respiratory morbidity in patients with COPD, but insufficient. We hypothesised that the mean Jacobian determinant, a measure local expansion contraction respiration, would contribute independently clinically relevant functional outcomes. Methods applied image registration techniques paired inspiratory-expiratory scans determinant deformation field between two volumes map volume change respiration. analysed 490 participants COPD multivariable regression models assess strengths association traditional including dyspnoea (modified Medical Research Council), St Georges Respiratory Questionnaire (SGRQ) score, 6-min walk distance (6MWD) Body Mass Index, Airflow Obstruction, Dyspnoea Exercise Capacity (BODE) index, well all-cause mortality. Results The was significantly associated SGRQ (adjusted coefficient β=−11.75,95% CI −21.6 −1.7; p=0.020), 6MWD (β=321.15, 95% 134.1 508.1; p 1 , smoking pack-years, emphysema, gas trapping, airway wall thickness scanner type. also BODE index (β=−0.41, −0.80 −0.02; p=0.039) mortality on follow-up HR=4.26, 0.93 19.23; p=0.064). Conclusions Biomechanical representing improve prediction offer additional prognostic information beyond measures function metrics. Trial number NCT00608764; Post-results.