JOPIC

The JoPIC is an independent-unbiased, peer-reviewed, and open-access journal of current national and international issues and reviews for original clinical and experimental research, interesting case reports, surgical techniques, differential diagnoses, editorial opinions, letters to the editor, and educational papers in pulmonology, thoracic surgery, occupational diseases, allergology, and intensive care medicine.

EndNote Style
Index
Original Article
Determinants of survival in acute pulmonary thromboembolism: real-life data from a 3-level health institution
Aims: Given that pulmonary thromboembolism is a prevalent cause of cardiovascular mortality, identifying quick and accessible diagnostic-prognostic markers for pulmonary thromboembolism may significantly contribute to mortality reduction. In this study, we aimed to determine to what extent diagnosis-prognosis markers of patients are predictive of survival, based on real-life data.
Methods: Data from patients hospitalized with the diagnosis of pulmonary thromboembolism were retrospectively investigated. The demographic, clinical, and radiological findings were analyzed. Probability, severity, and mortality score determinations of patients with acute PE were analyzed using the Charlson Comorbidity Index, Pulmonary Embolism Severity Index, and Simplified Pulmonary Embolism Severity Index scores
Results: The data of 300 patients were evaluated. The mortality rate was 11%. The patients' mean age was higher in the mortality group (p=0.035). In-hospital mortality was 7.3%, highest in the 9th and 6th decades (p=0.025 and p=0.036). The mortality rate was 26.6% in patients with thrombus in the pulmonary artery trunk (p=0.01). The presence of right heart strain on echocardiography was associated with mortality. (p<0.05). The mean Pulmonary Embolism Severity Index and Simplified Pulmonary Embolism Severity Index scores also showed an important difference between survival groups (p=0.028 and p=0.021). The Charlson Comorbidity Index score had a higher mean in the mortality group, but the difference was not statistically important (p>0.05). Mortality frequency in the “high 30-day early mortality risk group” was significantly higher than others (p=0.02).
Conclusion: Demographic and clinical characteristics are closely related to the survival of patients with pulmonary thromboembolism. An individual approach to patients diagnosed with pulmonary thromboembolism will provide management above all scores.


1. Konstantinides SV, Meyer G, Becattini C, et al. 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
2. Barco S, Valerio L, Gallo A, et al. Global reporting of pulmonary embolism-related deaths in the World Health Organization mortality database: vital registration data from 123 countries. Res Pract Thromb Haemost. 2021;5(5):e12520. doi:10.1002/rth2.12520
3. Kalch A, Albani A, Küchler C, et al. Evidence-based health information about pulmonary embolism: assessing the quality, usability and readability of online and offline patient information. PEC Innov. 2022;1: 100103. doi:10.1016/j.pecinn.2022.100103
4. Martinez Licha CR, McCurdy CM, Maldonado SM, Bakhos CT. Current management of acute pulmonary embolism. Ann Thorac Cardiovasc Surg. 2020;26(2):65-71. doi:10.5761/atcs.ra.19-00158
5. Konstantinides SV, Barco S, Lankeit M, et al. Management of pulmonary embolism: an update. J Am Coll Cardiol. 2016;67(8):976-990. doi:10.1016/j.jacc.2015.11.061
6. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383. doi:10. 1016/0021-9681(87)90171-8
7. Ng AC, Chow V, Yong AS, Chung T, Kritharides L. Prognostic impact of the Charlson Comorbidity Index on mortality following acute pulmonary embolism. Respiration. 2013;85(5):408-416. doi:10.1159/ 000342024
8. Turetz M, Sideris AT, Friedman OA, et al. Epidemiology, pathophysiology, and natural history of pulmonary embolism. Semin Intervent Radiol. 2018;35(2):92-98. doi:10.1055/s-0038-1642036
9. Kröger K, Moerchel C, Moysidis T, Stang A. Incidence rate of pulmonary embolism in Germany: data from the federal statistical office. J Thromb Thrombolysis. 2010;29(3):349-353. doi:10.1007/s11239-009-0396-1
10. Benjamin EJ, Virani SS, Callaway CW, et al. Heart disease and stroke statistics-2018 update: a report from the American Heart Association. Circulation. 2018;137(12):e67-e492. doi:10.1161/CIR. 0000000000000558
11. Corrigan D, Prucnal C, Kabrhel C. Pulmonary embolism: the diagnosis, risk-stratification, treatment and disposition of emergency department patients. Clin Exp Emerg Med. 2016;3(3):117-125. doi:10.15441/ceem.16.146
12. Pérez-Nieto OR, Gómez-Oropeza I, Quintero-Leyra A, Hernández-Castillo R, Vázquez-Rodríguez S. Hemodynamic and respiratory support in pulmonary embolism: a narrative review. Front Med (Lausanne). 2023;10:1123793.
13. Krajewska A, Ptaszynska-Kopczynska K, Kiluk I, et al. Paroxysmal atrial fibrillation in the course of acute pulmonary embolism: clinical significance and impact on prognosis. Biomed Res Int. 2017;2017: 5049802. doi:10.1155/2017/5049802
14. Koracevic G, Atanaskovic V. Is atrial fibrillation a prognosticator in acute pulmonary thromboembolism? Med Princ Pract. 2010;19(2):166. doi:10.1159/000273082
15. Sohara H, Amitani S, Kurose M, et al. Atrial fibrillation activates platelets and coagulation in a time-dependent manner: a study in patients with paroxysmal atrial fibrillation. J Am Coll Cardiol. 1997; 29(1):106-112. doi:10.1016/s0735-1097(96)00427-5
16. Timp JF, Braekkan SK, Versteeg HH, Cannegieter SC. Epidemiology of cancer-associated venous thrombosis. Blood. 2013;122(10):1712-1723. doi:10.1182/blood-2013-04-460121
17. Otten HM, Mathijssen J, ten Cate H, Nieuwland WA. Symptomatic venous thromboembolism in cancer patients treated with chemotherapy: an underestimated phenomenon. Arch Intern Med. 2004;164(2):190-194. doi:10.1001/archinte.164.2.190
18. Lee EJ, Dykas DJ, Leavitt AD, et al. Whole-exome sequencing in evaluation of patients with venous thromboembolism. Blood Adv. 2017; 1(10):1224-1237. doi:10.1182/bloodadvances.2017005249
19. Meißner L, Schürmann P, Dörk T, , et al. Genetic association study of fatal pulmonary embolism. Int J Legal Med. 2021;135(1):143-151. doi:10. 1007/s00414-020-02441-7
20. Righini M, Van Es J, Den Exter PL, et al. Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study. JAMA. 2014;311(11):1117-1124. doi:10.1001/jama.2014.2135
21. Sikora-Skrabaka M, Skrabaka D, Ruggeri P, et al. D-dimer value in the diagnosis of pulmonary embolism-may it exclude only? J Thorac Dis. 2019;11(4):172-664. doi:10.21037/jtd.2019.02.88
22. Kohn CG, Mearns ES, Parker MW, Hernandez AV, Coleman CI. Prognostic accuracy of clinical prediction rules for early post-pulmonary embolism all-cause mortality: a bivariate meta-analysis. Chest. 2015;147(4):1043-1062. doi:10.1378/chest.14-1888
23. Duplyakov D, Kurakina E, Pavlova T, Shchukin Y. Value of syncope in patients with high-to-intermediate risk pulmonary artery embolism. Eur Heart J Acute Cardiovasc Care. 2015;4(4):353-358. doi:10.1177/ 2048872614527837
24. Sanchez O, Trinquart L, Colombet I, et al. Prognostic value of right ventricular dysfunction in patients with haemodynamically stable pulmonary embolism: a systematic review. Eur Heart J. 2008;29(12): 1569-1577. doi:10.1093/eurheartj/ehn208
25. Watts JA, Marchick MR, Kline JA. Right ventricular heart failure from pulmonary embolism: key distinctions from chronic pulmonary hypertension. J Card Fail. 2010;16(3):250-259. doi:10.1016/j.cardfail. 2009.11.008
26. Fremont B, Pacouret G, Jacobi D, et al. Prognostic value of echocardiographic right/left ventricular end-diastolic diameter ratio in patients with acute pulmonary embolism: results from a monocenter registry of 1,416 patients. Chest. 2008;133(2):358-362. doi:10.1378/chest. 07-1231
Volume 3, Issue 4, 2025
Page : 102-107
_Footer