[HTML][HTML] Low initial KCO predicts rapid FEV1 decline in pulmonary lymphangioleiomyomatosis

R Lazor, D Valeyre, J Lacronique, B Wallaert… - Respiratory …, 2004 - Elsevier
R Lazor, D Valeyre, J Lacronique, B Wallaert, T Urban, JF Cordier
Respiratory medicine, 2004Elsevier
Pulmonary lymphangioleiomyomatosis (LAM) is a rare interstitial disorder affecting
exclusively women, and leading to progressive deterioration of lung function. The disease
course is highly variable from one patient to another, but no clinical predictor of rapid
disease progression is currently available. To identify clinical variables, which could detect
patients at risk for rapid lung function decline, we searched for correlations between the rate
of forced expiratory volume in 1s (FEV1) decline and clinical features at diagnosis in a …
Pulmonary lymphangioleiomyomatosis (LAM) is a rare interstitial disorder affecting exclusively women, and leading to progressive deterioration of lung function. The disease course is highly variable from one patient to another, but no clinical predictor of rapid disease progression is currently available. To identify clinical variables, which could detect patients at risk for rapid lung function decline, we searched for correlations between the rate of forced expiratory volume in 1s (FEV1) decline and clinical features at diagnosis in a retrospective series of 31 cases of LAM followed for ⩾1yr. The mean FEV1 decline was 106±143ml/yr or 3.4±4.6% predicted FEV1/yr. Among clinical features at diagnosis, only initial values of carbon monoxide transfer factor (TLCO, P=0.006) and carbon monoxide transfer coefficient (KCO, P=0.0001) were significantly correlated with the rate of FEV1 decline. Lung volumes and FEV1/forced vital capacity ratio at diagnosis were not predictive of rapid decline. No effect of previous smoking, contraceptive use or pregnancy on FEV1 decline could be detected. We conclude that low TLCO and KCO at the time of diagnosis are the best clinical predictors of rapid FEV1 decline in patients with LAM.
Elsevier