CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2023; 33(04): 478-483
DOI: 10.1055/s-0043-1769590
Original Article

Does Adding the Pulmonary Infarction and Right Ventricle to Left Ventricle Diameter Ratio to the Qanadli Index (A Combined Qanadli Index) More Accurately, Predict Short-Term Mortality in Patients with Pulmonary Embolism?

Neda Akhoundi
1   Radiology Department, University of California San Diego, Hillcrest Hospital, San Diego, California, United States
Sonia Sedghian
2   Radiology Department, Tabriz University of Medical Sciences, Tabriz, Iran
Alireza Siami
3   Department of Statistics, Biostatistical Analyzer, Amirkabir University of Technology, Tehran, Iran
Iman Yazdani nia
2   Radiology Department, Tabriz University of Medical Sciences, Tabriz, Iran
Zahra Naseri
4   Radiology Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Seyed Mohammadsadegh Ghadiri Asli
4   Radiology Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Reza Hazara
5   Department of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
› Author Affiliations
Funding None.


Background The Qanadli index can be used to assess the severity of pulmonary arterial involvement in patients with acute pulmonary embolism. However, it seems that considering pulmonary infarction and right ventricle/left ventricle (RV/LV) ratio along with this index (called the combined Qanadli index) can provide a more accurate view of changes in cardiovascular parameters in these patients and help predict mortality in a better manner. In this regard, we evaluated the ability of the combined Qanadli index versus the Qanadli index in predicting short-term mortality in patients with pulmonary embolism.

Methods This retrospective study enrolled 234 patients with acute pulmonary embolism. Patients were divided into two groups: those who expired in 30 days and who survived. Then they were evaluated by computed tomography angiography of pulmonary arteries. The RV/LV diameter ratio and also pulmonary artery obstruction index (PAOI) were calculated. The patient's computed tomography scans were reviewed for pulmonary infarction. By adding the RV/LV ratio and pulmonary infarction to PAOI, a new index called the modified Qanadli score was made. Univariable and multivariable logistic regression was done for finding predictors of mortality.

Results Nine cases (40%) of patients in the mortality group and 42 (20%) of survivors had ischemic heart disease and the difference was significantly meaningful. The mean Qanadli index in the mortality group was 16.8 ± 8.45 and in survivors was 8.3 ± 4.2. By adding the pulmonary infarction score and PAOI score to RV/LV ratio score, the odds ratio (OR) for predicting mortality increased significantly to 13 and 16, respectively, which were significantly meaningful. Based on our findings, the highest OR for predicting short-term mortality was obtained through a combined Qanadli index (PAOI score + pulmonary infarction score + RV/LV score) that was 17 in univariable and 18 in multivariable logistic regression analysis (p-value = 0.015).

Conclusion The new combined Qanadli index has more ability than the Qanadli index and RV/LV ratio for predicting changes in cardiovascular parameters and short-term mortality in patients with pulmonary embolism.

Publication History

Article published online:
16 June 2023

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