A Single Imaging Modality in the Diagnosis, Severity, and Prognosis of Pulmonary Embolism

Introduction. This study aimed to investigate the currency of computerized tomography pulmonary angiography-based parameters as pulmonary artery obstruction index (PAOI), as well as right ventricular diameters for pulmonary embolism (PE) risk evaluation and prediction of mortality and intensive care unit (ICU) requirement. Materials and Methods. The study retrospectively enrolled 203 patients hospitalized with acute PE. PAOI was calculated according to Qanadli score. Results. Forty-three patients (23.9%) were hospitalized in the ICU. Nineteen patients (10.6%) died during the 30-day follow-up period. The optimal cutoff value of PAOI for PE 30th day mortality and ICU requirement were found as 36.5% in ROC curve analysis. The pulmonary artery systolic pressure had a significant positive correlation with right/left ventricular diameter ratio ( = 0.531, < 0.001), PAOI ( = 0.296, < 0.001), and pulmonary artery diameter ( = 0.659, < 0.001). The patients with PAOI values higher than 36.5% have a 5.7-times increased risk of death. Conclusion. PAOI is a fast and promising parameter for risk assessment in patients with acute PE. With greater education of clinicians in this radiological scoring, a rapid assessment for diagnosis, clinical risk evaluation, and prognosis may be possible in emergency services without the need for echocardiography

A Single Imaging Modality in the Diagnosis, Severity, and Prognosis of Pulmonary Embolism

Introduction. This study aimed to investigate the currency of computerized tomography pulmonary angiography-based parameters as pulmonary artery obstruction index (PAOI), as well as right ventricular diameters for pulmonary embolism (PE) risk evaluation and prediction of mortality and intensive care unit (ICU) requirement. Materials and Methods. The study retrospectively enrolled 203 patients hospitalized with acute PE. PAOI was calculated according to Qanadli score. Results. Forty-three patients (23.9%) were hospitalized in the ICU. Nineteen patients (10.6%) died during the 30-day follow-up period. The optimal cutoff value of PAOI for PE 30th day mortality and ICU requirement were found as 36.5% in ROC curve analysis. The pulmonary artery systolic pressure had a significant positive correlation with right/left ventricular diameter ratio (r=0.531, P<0.001), PAOI (r=0.296, P<0.001), and pulmonary artery diameter (r=0.659, P<0.001). The patients with PAOI values higher than 36.5% have a 5.7-times increased risk of death. Conclusion. PAOI is a fast and promising parameter for risk assessment in patients with acute PE. With greater education of clinicians in this radiological scoring, a rapid assessment for diagnosis, clinical risk evaluation, and prognosis may be possible in emergency services without the need for echocardiography

Combination and comparison of two models in prognosis of pulmonary embolism: Results from TUrkey Pulmonary Embolism Group (TUPEG) study

WOS: 000335910900010PubMed ID: 24690480Background: Clinical parameters, biomarkers and imaging-based risk stratification are widely accepted in pulmonary embolism(PE). The present study has investigated the prognostic role of simplified Pulmonary Embolism Severity Index (sPESI) score and the European Society of Cardiology (ESC) model. Methods: This prospective cohort study included a total of 1078 patients from a multi-center registry, with objectively confirmed acute symptomatic PE. The primary endpoint was all-cause mortality during the first 30 days, and the secondary endpoint included all-cause mortality, nonfatal symptomatic recurrent PE, or nonfatal major bleeding. Results: Of the 1078 study patients, 95 (8.8%) diedwithin 30 days of diagnosis. There was no significant difference between non-low-risk patients ESC [12.2% (103 of 754;)] and high-risk patients as per the sPESI [11.6% (103 of 796)] for 30-day mortality. The nonfatal secondary endpoint occurred in 2.8% of patients in the the sPESI low-risk and 1.9% in the ESC low-risk group. Thirty-day mortality occurred in 2.2% of patients the sPESI low-risk and in 2.2% the ESC low-risk group (P = NS). In the present study, in the combination of the sPESI low-risk and ESC model low-risk mortality rate was 0%. Conclusions: The sPESI andthe ESCmodel showed a similar performance regarding 30-daymortality and secondary outcomes in the present study. However, the combination of these two models appears to be particularly valuable in PE. (C) 2014 Elsevier Ltd. All rights reserved