Department of Radiology, University of Leipzig, Germany.
Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg, Germany.
Angiology. 2021 Sep;72(8):787-793. doi: 10.1177/0003319721993346. Epub 2021 Feb 9.
Our aim was to analyze possibility of combination of basic clinical and radiological signs to predict 30-day mortality after acute pulmonary embolism (PE). We included 486 patients. Age, gender, simplified pulmonary embolism index (sPESI), pH, troponin, N-terminal natriuretic peptide, minimal systolic and diastolic blood pressure, O saturation, syncope, need for vasopressors, thrombotic obstruction, vessel diameter, short axis ratio right ventricle/left ventricle, and contrast medium reflux into the inferior vena cava (IVC) were analyzed. A backward algorithm in a logistic regression model was used to identify relevant risk factors. Multiple logistic regression analysis identified that sPESI, pH, minimal diastolic blood pressure, IVC reflux, and need for vasopressors influenced 30-day mortality. A score for mortality prediction was constructed (the Pulmonary Embolism Mortality Score): sPESI >2 points (1 point), pH <7.35 (1 point), minimal diastolic blood pressure <45 mm Hg (1 point), IVC reflux (1 point), and need for vasopressors (2 points). Patients with >3 points showed higher 30-day mortality (sensitivity: 84.9%, specificity: 83.0%, positive predictive value: 51.8%, negative predictive value: 96.2%). The net reclassification improvement compared with the sPESI was 0.94 (95% CI = 0.73-1.15). In conclusion, a new score can predict 30-day mortality in patients with PE and is more sensitive than sPESI.
我们的目的是分析基本临床和影像学征象组合预测急性肺栓塞(PE)后 30 天死亡率的可能性。共纳入 486 例患者。分析年龄、性别、简化肺栓塞指数(sPESI)、pH 值、肌钙蛋白、N 末端脑钠肽、最小收缩压和舒张压、氧饱和度、晕厥、是否需要升压药、血栓阻塞、血管直径、右心室/左心室短轴比和下腔静脉(IVC)造影剂反流。采用逻辑回归模型的后向算法来识别相关的危险因素。多因素逻辑回归分析确定 sPESI、pH 值、最小舒张压、IVC 反流和需要升压药影响 30 天死亡率。构建了一个用于预测死亡率的评分(肺栓塞死亡率评分):sPESI>2 分(1 分)、pH 值<7.35(1 分)、最小舒张压<45mmHg(1 分)、IVC 反流(1 分)和需要升压药(2 分)。>3 分的患者 30 天死亡率更高(敏感性:84.9%,特异性:83.0%,阳性预测值:51.8%,阴性预测值:96.2%)。与 sPESI 相比,净重新分类改善为 0.94(95%CI=0.73-1.15)。总之,新评分可以预测 PE 患者的 30 天死亡率,且比 sPESI 更敏感。