Milla C E, Warwick W J
Cystic Fibrosis Center, University of Minnesota, Minneapolis, USA.
Chest. 1998 May;113(5):1230-4. doi: 10.1378/chest.113.5.1230.
Lung disease accounts for most of the mortality in patients with cystic fibrosis (CF). Lung transplantation is an option for patients severely impaired, being recommended when life expectancy is estimated to be <2 years. Our objectives were to evaluate in our patient population the validity of currently accepted criteria for low life expectancy and to identify other potentially useful criteria.
Data were retrieved from CF patients followed up at our center who reached and kept an FEV1 <30% predicted. A life table was created and stratified according to characteristics believed to be of importance. In addition, the rate of decline in percent predicted FEV1 was analyzed. These characteristics were evaluated as predictors of risk of death.
The median survival was 3.9 years (95% confidence interval, 2.88 to 4.12 years), with no significant differences according to gender, nutritional status, presence of diabetes, or decade in which the patient was cared for. Only by age was there a significant difference in the median survival (p<0.05). By proportional hazards regression, only the rate of decline in percent predicted FEV1 was a significant predictor of the risk of death, with a borderline effect from younger age (p=0.06).
In our patient population, a cutoff value of FEV1 of < 30% predicted is not a reliable predictor of high risk of death within 2 years. The yearly rate of decline of percent predicted FEV1 is a better parameter to identify those patients at high risk for death.
肺部疾病是囊性纤维化(CF)患者死亡的主要原因。肺移植是重度受损患者的一种选择,当预期寿命估计小于2年时推荐进行。我们的目的是在我们的患者群体中评估目前公认的低预期寿命标准的有效性,并确定其他可能有用的标准。
从我们中心随访的CF患者中检索数据,这些患者的第一秒用力呼气容积(FEV1)达到并维持在预测值的30%以下。创建生命表并根据被认为重要的特征进行分层。此外,分析预测FEV1百分比的下降率。这些特征被评估为死亡风险的预测因素。
中位生存期为3.9年(95%置信区间,2.88至4.12年),根据性别、营养状况、是否存在糖尿病或患者接受治疗的年代,生存期无显著差异。仅年龄对中位生存期有显著差异(p<0.05)。通过比例风险回归分析,只有预测FEV1百分比的下降率是死亡风险的显著预测因素,年轻患者有临界效应(p=0.06)。
在我们的患者群体中,FEV1预测值<30%不是2年内高死亡风险的可靠预测指标。预测FEV1百分比的年下降率是识别高死亡风险患者的更好参数。