A novel clinical index for the assessment of RVD in acute pulmonary embolism: Blood pressure index
Autor: | Mehmet Fettah Arikan, Harun Kundi, Ihsan Ates, Hale Ates, Fatma Yılmaz |
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Rok vydání: | 2017 |
Předmět: |
Male
medicine.medical_specialty Index (economics) Computed Tomography Angiography Ventricular Dysfunction Right Blood Pressure 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Internal medicine medicine Pulmonary angiography Humans Aged Retrospective Studies business.industry 030208 emergency & critical care medicine General Medicine Middle Aged medicine.disease Predictive value humanities Right ventricular dysfunction Pulmonary embolism Blood pressure Echocardiography Acute Disease Emergency Medicine Cardiology Female Pulmonary Embolism business |
Zdroj: | The American Journal of Emergency Medicine. 35:1400-1403 |
ISSN: | 0735-6757 |
DOI: | 10.1016/j.ajem.2017.04.019 |
Popis: | This study aims to investigate the role of the blood pressure index (BPI), which is a new index that we developed, in detection of right ventricular dysfunction (RVD) in acute pulmonary embolism (APE).A total of 539 patients, (253 males and 286 females), diagnosed with APE using computer tomography pulmonary angiography were included in the study. The BPI was obtained by dividing systolic blood pressure (SBP) by diastolic blood pressure (DBP).Mean DBP (75±11mmHg vs 63±15mmHg; p0.001, respectively) was found to be higher in RVD patients compared to those without RVD, whereas BPI (1.5±0.1 vs 1.9±0.2; p0.001, respectively) was lower. Examining the performance of BPI in prediction of RVD using receiver operating characteristic curve analysis (area under curve±SE=0.975±0.006; p0.001), it was found that BPI could predict RVD with very high sensitivity (92.8%) and specificity (100%) and had a positive predictive value of 100% and a negative predictive value of 42.1%. According to the analysis, the highest youden index for the optimal prediction value was found to be 0.478 and the BPI≤1.4 was found to predict mortality 68.6% sensitivity and 80.8% specificity (Area under curve±SE=0.777±0.051; p0.001).We found that BPI was an index with high positive predictive value and low negative predictive value in detection of RVD. |
Databáze: | OpenAIRE |
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