Can Early Mortality in Acute Pulmonary Embolism Be Predicted at Emergency Service?

Author :  

Year-Number: 2023-Vol: 2 Issue: 2 PP: 26-62
Yayımlanma Tarihi: 2023-06-27 16:58:35.0
Language : İngilizce
Konu : Acil Tıp
Number of pages: 32-38
Mendeley EndNote Alıntı Yap

Abstract

Keywords

Abstract

Aim: The present study aimed to investigate whether the routine clinical, laboratory, and imaging examination results used in the diagnosis of Akut Pulmonary Embolism in the emergency room could be used to predict early mortality associated with the disease.
Materials and Methods: This retrospective, descriptive, and analytical study was conducted on 109 patients who were admitted to the emergency services and diagnosed with APE between January 1, 2019, and January 1, 2020. Patients who were aged ≥18 years, and who were not pregnant, had undergone computed tomography (CT) angiography, and whose data were accessible via the automation system were included in the study. The patients were divided into two groups of survivors and nonsurvivors.
Results: In the nonsurvivor patient group, the systolic, diastolic, and mean arterial blood pressure levels were statistically significantly lower (p < 0.001, p < 0.001, and p < 0.001, respectively), whereas the pulse and respiratory rates were statistically significantly higher (p = 0.024 and p = 0.001, respectively). The mean Pulmonary Embolism Severity Index scores, red blood cell distribution width (RDW), D-dimer and lactate levels were statistically significantly higher in the mortal group (p < 0.001; p = 0.013, p = 0.041, and p = 0.020, respectively), whereas the pH levels were statistically significantly lower in the mortal group (p = 0.021).
Conclusion: Early mortality is predictable in APE cases. The RDW, D-dimer, pH, and lactate values, which are routinely measured in the emergency room, can be used to predict mortality.

Keywords


                                                                                                                                                                                                        
  • Article Statistics