Soares Thiago Horta, de Bastos Marcos, de Carvalho Bruna Vilaça, Moreira Wanderval, Cabral Cristiane Pena, de Paula Luciano Fagundes, Caram Camila, Rezende Suely Meireles
Hospital Mater Dei, Belo Horizonte, Minas Gerais, Brazil.
Blood Coagul Fibrinolysis. 2013 Jan;24(1):64-70. doi: 10.1097/MBC.0b013e32835a72c2.
Pulmonary embolism is a serious and potentially fatal disorder. Pulmonary embolism risk stratification may allow early hospital discharge and outpatient treatment for low-risk patients. Also, it may prevent death by early medical intervention in high-risk groups. We evaluated objectively confirmed pulmonary embolism in 126 patients by multidetector computed tomographic pulmonary angiography at a single center from January 2008 to January 2010. The Pulmonary Severity Embolism Index (PESI), the right ventricle (RV) to left ventricle (LV) diameter (RV/LV) ratio and the vascular obstruction index (VOI) were derived from data extracted from electronic hospital records and image database. A total of six out of 96 patients (6.3%) died during follow-up. There was an association between PESI and mortality (P-value < 0.001 χ² test). PESI class I-II had a 100% negative predictive value for death in 90 days. No association was found between the RV/LV ratio, the VOI and mortality (P-value > 0.05 χ² test). Also, no association was found between the RV/LV ratio and the VOI and PESI (P-value > 0.05 χ² test). PESI is an accurate tool for pulmonary embolism prognostic stratification. It safely discriminates low-risk from high-risk patients regarding death outcome. We were unable to demonstrate an association between image scores and mortality.
肺栓塞是一种严重且可能致命的疾病。肺栓塞风险分层可为低风险患者实现早期出院及门诊治疗。此外,它还可通过对高风险人群进行早期医疗干预来预防死亡。我们于2008年1月至2010年1月在单中心通过多排螺旋计算机断层扫描肺血管造影对126例经客观证实的肺栓塞患者进行了评估。肺栓塞严重程度指数(PESI)、右心室(RV)与左心室(LV)直径之比(RV/LV)以及血管阻塞指数(VOI)均来自从电子医院记录和图像数据库中提取的数据。96例患者中有6例(6.3%)在随访期间死亡。PESI与死亡率之间存在关联(P值<0.001,χ²检验)。PESI I-II级对90天内死亡的阴性预测值为100%。未发现RV/LV比值、VOI与死亡率之间存在关联(P值>0.05,χ²检验)。此外,未发现RV/LV比值、VOI与PESI之间存在关联(P值>0.05,χ²检验)。PESI是肺栓塞预后分层的准确工具。它能安全地区分低风险和高风险患者的死亡结局。我们未能证明图像评分与死亡率之间存在关联。