Department of Radiology, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar, Saudi Arabia.
Department of Physiology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Emerg Radiol. 2020 Oct;27(5):503-511. doi: 10.1007/s10140-020-01793-2. Epub 2020 May 29.
Computed tomography pulmonary angiography (CT-PA) is the diagnostic modality used for pulmonary embolism (PE). This study aimed to estimate the positive CT-PA rate and identify the predictors of positive CT-PA results.
A retrospective observational study was conducted by examining the CT-PA data for ruling out PE in all adult patients who visited the King Fahd Hospital of Imam Abdulrahman Bin Faisal University. The data regarding background demographic information, clinical information, and CT-PA findings were collected from electronic health records. Data were analyzed descriptively using the chi-squared test. Multivariate regression analysis was used to identify the predictors of positive CT-PA results.
In total, 548 patients (209 male, 339 female) who underwent CT-PA scans were included. The positive CT-PA rate was 18.8%. The Charlson Comorbidity Index was not significantly associated with positive CT-PA results (p = 0.456). Multivariate logistic regression analysis revealed that smoking (odds ratio [OR] 4.96; 95% confidence interval [95% CI] 2.05-12.02) was an independent factor associated with positive CT-PA results. The CT-PA scans performed in winter and spring were 43% (OR 0.43; 95% CI 0.22-0.84) and 52% (OR 0.52; 95% CI 0.28-0.97) less likely to show positive results compared with those performed in autumn, respectively.
The positive CT-PA rate varied significantly between seasons. Smoking was a predictor of positive CT-PA results. These findings may assist in developing interventions for improving the utilization of CT-PA scans to avoid unnecessary exposure of patients to radiation.
N/A.
计算机断层肺动脉造影（CT-PA）是用于诊断肺栓塞（PE）的诊断方式。本研究旨在评估 CT-PA 的阳性率，并确定其阳性结果的预测因素。
通过检查法赫德国王伊玛目阿卜杜勒拉赫曼本费萨尔大学所有成年患者的 CT-PA 数据，对排除 PE 的患者进行回顾性观察性研究。从电子健康记录中收集背景人口统计学信息、临床信息和 CT-PA 结果的数据。使用卡方检验进行描述性数据分析。使用多变量回归分析确定 CT-PA 阳性结果的预测因素。
共纳入 548 名（209 名男性，339 名女性）接受 CT-PA 扫描的患者。CT-PA 阳性率为 18.8%。Charlson 合并症指数与 CT-PA 阳性结果无显著相关性（p=0.456）。多变量逻辑回归分析显示，吸烟（比值比 [OR] 4.96；95%置信区间 [95%CI] 2.05-12.02）是与 CT-PA 阳性结果相关的独立因素。与秋季相比，冬季和春季进行的 CT-PA 扫描阳性结果的可能性分别降低了 43%（OR 0.43；95%CI 0.22-0.84）和 52%（OR 0.52；95%CI 0.28-0.97）。
CT-PA 的阳性率在不同季节之间存在显著差异。吸烟是 CT-PA 阳性结果的预测因素。这些发现可能有助于制定干预措施，以提高 CT-PA 扫描的利用效率，避免患者不必要地暴露于辐射下。
无。
