Pulmonary Embolism
Conditions
Brief summary
Acute pulmonary embolism (PE) is a serious disease associated with high mortality rates despite advanced therapeutic options. The treatment options depend on the severity of the disease and the short - term mortality varies widely from 2 to 95%, depending on the severity of the condition
Detailed description
Acute pulmonary embolism (PE) is a serious disease associated with high mortality rates despite advanced therapeutic options. The treatment options depend on the severity of the disease and the short - term mortality varies widely from 2 to 95%, depending on the severity of the condition. Initial risk stratification of patients with PE could be based on clinical indicators. The presence of shock and hypotension is the most important clinical sign of poor prognosis. Other clinical variables, associated with poor prognosis are age over 70 years, history of bed rest over five days, cancer, chronic obstructive pulmonary disease, renal failure, heart failure, and tachycardia . Echocardiography represents the most useful imaging tool in everyday clinical practice to show right ventricular dysfunction (RVD) because of its noninvasive nature and relative low cost. RVD assessed on echocardiography has been described as one of the strongest predictor of early mortality in PE . Currently, computed tomography pulmonary angiography (CTPA) represents the diagnostic gold standard for PE. Additionally, CTPA was used to evaluate the prognosis by determining the distribution and severity of vascular obstruction of clots in pulmonary circulation; this is called computed tomography pulmonary artery obstruction index (CT-PAOI). CTPA was also suggested as a predictor of RVD . In addition to the clinical findings and the imaging abnormalities, there are several biomarkers and indicators that can be used to predict severity and prognosis in patients with PE. These biomarkers include troponin and brain natriuretic peptide (indicators of RVD and myocardial damage), D-dimer, C-reactive protein, arterial blood gases parameters and complete blood count (CBC) parameters. However, some of these biomarkers have not been widely studied and are not commonly used although they are readily available and cheaper for developing countries.
Interventions
The radiological severity of pulmonary embolism will be assessed by using the computed tomography pulmonary arterial obstruction index (CT-PAOI)
Sponsors
Assiut University
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Adults (≥ 18 years) who will be diagnosed as acute pulmonary embolism based on computed tomography pulmonary angiography (CTPA) and not yet treated.
Exclusion criteria
1. Age less than 18 years. 2. Patients with known hematological disorders. 3. Patients with history of recent blood transfusion (within 3 weeks). 4. Patients receive anti-platelet and/or anticoagulant medications. 5. Patients receive immunosuppressive drugs. 6. Patients with known cardiopulmonary diseases other than the pulmonary embolism. 7. Patients with known active infectious diseases or immunological diseases
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| prognostic importance of computed tomography pulmonary artery obstruction index (CT-PAOI) | 2 years | To calculate the CT-PAOI, the arterial tree of each lung was considered to have 10 segmental arteries . The presence of an embolus in a segmental artery was scored 1 point. Central or paracentral emboli were scored a value equal to the number of segmental arteries arising distally. Depending on the degree of vascular obstruction a weighting factor was assigned to each value (0, no thrombus 1, partial occlusion and 2, total occlusion). Isolated subsegmental embolus was considered as a partially occluded segmental artery and was assigned a value of1. Thus, the PAOI could vary from 1 to 40 points per patient. Dividing the patient score by the maximal total score and multiplying the result by 100 calculated the percentage of vascular obstruction, Based on the which, patients were then divided into three groups (\<15% versus 15-50% versus \>50%). |
| prognostic importance of White blood cell count(WBC) . | 2 years | * white blood cell count (number/cubic milliliter) |
| prognostic importance of polymorphonuclear cell count | 2 years | -polymorphonuclear cell count (number/cubic milliliter) |
| prognostic importance of lymphocyte cell count | 2 years | -lymphocyte cell count (number/cubic milliliter) |
| prognostic importance of a D-dimer level | 2 years | \- D-dimer level (microgram/liter) |
| prognostic importance of Troponin level | 2 years | -Troponin level (nanogram/milliliter) |
| prognostic importance of C-reactive protein | 2 years | \- C-reactive protein (milligram /liter) |
| prognostic importance of arterial blood gases while the patients are breathing room air. | 2 years | -Partial pressure of oxygen tension (millimeter mercury) |
| prognostic importance of hemoglobin level | 2 years | -hemoglobin level (gram/deciliter) |
| prognostic importance of platelet cell count | 2 years | -platelet cell count (number/cubic milliliter) |
| prognostic importance of red cell distribution width | 2 years | -red cell distribution width (%) |
Countries
Egypt
Contacts
Primary ContactAmal A Abd Elrahman, MD
Outcome results
None listed