Preview

Complex Issues of Cardiovascular Diseases

Advanced search

ALGORITHM FOR SELECTING PATIENTS FOR PULMONARY ARTERY ANGIOGRAPHY IN CASE OF SUSPECTED PULMONARY EMBOLISM

https://doi.org/10.17802/2306-1278-2024-13-3S-37-44

Abstract

Highlights

We have developed an algorithm for selecting patients for CT pulmonary angiography in case of suspected pulmonary embolism. The algorithm is based on the results of laboratory studies, duplex ultrasound of the veins of the lower extremities and echocardiography. This algorithm makes it possible to reliably exclude pulmonary embolism in 21.2% of patients without performing CT pulmonary angiography.

 

Aim. To develop an algorithm for excluding pulmonary embolism and selecting patients for pulmonary angiography based on the results of laboratory and ultrasound studies.

Methods. The retrospective single-center study was conducted using the data of 113 patients admitted to the ICU with suspected pulmonary embolism. Patients underwent echocardiography and duplex ultrasound of the veins of both lower extremities, and computed tomography pulmonary angiography with contrast.

Results. We carried out comparative analysis of clinical and anamnestic data depending on the presence of pulmonary embolism. There were significant differences between the groups by gender (p = 0.008) and age (p = 0.042). The concentration of D-dimer in the group with pulmonary embolism was significantly higher than in the control group (p < 0.001). Moreover, the left ventricular ejection fraction was higher in the group with pulmonary embolism compared to controls (p < 0.001). According to ultrasound data, 59% of patients with pulmonary embolism showed signs of acute deep vein thrombosis of the lower extremities, which was significantly more common compared to the control group (p < 0.001).

Pulmonary angiography should be recommended to patients with suspected pulmonary embolism and signs of prior or acute deep vein thrombosis. In the absence of these signs and a D-dimer concentration of less than 1 500 ng/mL, pulmonary embolism can be reliably excluded. In cases where the concentration of D-dimer is less than 10 000 ng/mL and pulmonary artery systolic pressure is no more than 30 mmHg, then pulmonary embolism can be excluded as well. In all other cases, we recommend to perform pulmonary angiography.

Conclusion. We have developed an algorithm for excluding pulmonary embolism and selecting patients for pulmonary angiography. The algorithm makes it possible to increase the specificity of the study from 45.1% to 57.3%. The algorithm is based on the concentration of D-dimer and the results of noninvasive ultrasound diagnostics. Ultrasound examination of the deep veins of the lower extremities and echocardiography allow differential diagnosis of cardiac pathology and other causes of symptoms. Moreover, these methods can become the basis for the selection of patients for pulmonary angiography.

About the Authors

Vyacheslav V. Semenyuta
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Cardiovascular Surgeon, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Anton V. Kazakov
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Cardiovascular Surgeon, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Eldar N. Avdeev
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Radiologist, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Valentin V. Remnyakov
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Radiologist, Head of the Department of Computed Tomography, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Andrey A. Kirshin
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Cardiovascular Surgeon, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Ramil R. Musin
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Cardiovascular Surgeon, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Sergey V. Anisimov
Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”
Russian Federation

Cardiovascular Surgeon, Head of the Department of Surgery, Budgetary Healthcare Institution of the Udmurt Republic “Republican Clinical and Diagnostic Center of the Ministry of Health of the Udmurt Republic”, Izhevsk, Russian Federation



Andrey M. Osadchiy
St. Petersburg State Budgetary Healthcare Institution “City Hospital No. 40 of the Kurortny district”
Russian Federation

PhD, Specialist in Endovascular Diagnostics and Treatment, St. Petersburg State Budgetary Healthcare Institution “City Hospital No. 40 of the Kurortny district”, St. Petersburg, Russian Federation



References

1. Krasnikova O.V., Nemirova S.V., Medvedev A.P., Gordetsov A.S. Infrared Spectroscopy in Differential Diagnosis of Pulmonary Embolism. Sovrem Tekhnologii Med. 2021;12(3):64-70. doi: 10.17691/stm2020.12.3.08. (In Russian)

2. Konstantinides S.V., Meyer G., Becattini C., Bueno H., Geersing G.J., Harjola V.P., Huisman M.V., Humbert M., Jennings C.S., Jiménez D., Kucher N., Lang I.M., Lankeit M., Lorusso R., Mazzolai L., Meneveau N., Ní Áinle F., Prandoni P., Pruszczyk P., Righini M., Torbicki A., Van Belle E., Zamorano J.L.; ESC Scientific Document Group. 2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS). Eur Heart J. 2020; 41 (4):543-603. doi:10.1093/eurheartj/ehz405

3. Kline J.A., Mitchell A.M., Kabrhel C., Richman P.B., Courtney D.M. Clinical criteria to prevent unnecessary diagnostic testing in emergency department patients with suspected pulmonary embolism. J Thromb Haemost. 2004; 2 (8):1247-1255. doi:10.1111/j.1538-7836.2004.00790.x

4. Van der Hulle T., Cheung W.Y., Kooij S., Beenen L.F.M., van Bemmel T., van Es J., Faber L.M., Hazelaar G.M., Heringhaus C., Hofstee H., Hovens M.M.C., Kaasjager K.A.H., van Klink R.C.J., Kruip M.J.H.A., Loeffen R.F., Mairuhu A.T.A., Middeldorp S., Nijkeuter M., van der Pol L.M., Schol-Gelok S., Ten Wolde M., Klok F.A., Huisman M.V.; YEARS study group. Simplified diagnostic management of suspected pulmonary embolism (the YEARS study): a prospective, multicentre, cohort study. Lancet. 2017; 390 (10091):289-297. doi:10.1016/S0140-6736(17)30885-1

5. Kearon C., de Wit K., Parpia S., Schulman S., Afilalo M., Hirsch A., Spencer F.A., Sharma S., D'Aragon F., Deshaies J.F., Le Gal G., Lazo-Langner A., Wu C., Rudd-Scott L., Bates S.M., Julian J.A.; PEGeD Study Investigators. . Diagnosis of Pulmonary Embolism with D-Dimer Adjusted to Clinical Probability. N Engl J Med. 2019; 381 (22):2125-2134. doi:10.1056/NEJMoa1909159

6. Rindi L.V., Al Moghazi S., Donno D.R., Cataldo M.A., Petrosillo N. Predictive scores for the diagnosis of Pulmonary Embolism in COVID-19: A systematic review. Int J Infect Dis. 2022; 115:93-100. doi:10.1016/j.ijid.2021.11.038

7.


Supplementary files

Review

For citations:


Semenyuta V.V., Kazakov A.V., Avdeev E.N., Remnyakov V.V., Kirshin A.A., Musin R.R., Anisimov S.V., Osadchiy A.M. ALGORITHM FOR SELECTING PATIENTS FOR PULMONARY ARTERY ANGIOGRAPHY IN CASE OF SUSPECTED PULMONARY EMBOLISM. Complex Issues of Cardiovascular Diseases. 2024;13(3S):37-44. (In Russ.) https://doi.org/10.17802/2306-1278-2024-13-3S-37-44

Views: 239


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2306-1278 (Print)
ISSN 2587-9537 (Online)