Dataset Information

Clinical factors associated with massive pulmonary embolism and PE-related adverse clinical events.

ABSTRACT:

Background

Clinicians evaluating acute PE patients often have to identify risks for massive PE, a measure of hemodynamic instability and its consequence, massive PE related adverse clinical events (PEACE). We investigated the association of these risk factors with massive PE and PEACE in a consecutive PE cohort (n = 364).

Methods

Massive PE was defined as an acute central clot (proximal to the lobar artery) in a patient with right heart strain and systolic blood pressure ≤ 90 mg. PEACE was defined as any massive PE who died or required one or more of the following: ACLS, assisted ventilation, vasopressor use, thrombolytic therapy, or invasive thrombectomy, within seven days of PE diagnosis. Univariate and multivariate analysis assessing associations between the risk factors (age, gender, comorbidities, PE provoking risks, and whether the PE was felt to be idiopathic) and massive PE or PEACE were performed. Significance was determined at p < 0.05.

Results

Thirteen percent (n = 48) of patients presented with massive PE, and 9% (n = 32) had PEACE. In the final multivariate model, recent invasive procedure (RR = 7.4, p = 0.007), recent hospitalization (RR = 7.3, p = 0.002), and idiopathic PE (RR = 6.5, p = 0.003) were associated with massive PE. Only idiopathic PE (RR = 5.7, p = 0.005) was significantly associated with PEACE. No comorbidities or other PE provoking risks were associated with massive PE or PEACE.

Conclusions

As a take-home message, recent invasive procedure, recent hospitalization, and idiopathic PE were associated with massive PE, and only idiopathic PE was associated with PEACE. Simultaneously, comorbidities like age or chronic cardiopulmonary disease seem not to be associated with massive PE or PEACE.

SUBMITTER: Hariharan P

PROVIDER: S-EPMC7847704 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveDevelop and validate a prognostic model for clinical deterioration or death within days of pulmonary embolism (PE) diagnosis using point-of-care criteria.MethodsWe used prospective registry data from six emergency departments. The primary composite outcome was death or deterioration (respiratory failure, cardiac arrest, new dysrhythmia, sustained hypotension, and rescue reperfusion intervention) within 5 days. Candidate predictors included laboratory and imaging right ventricle (RV) assessments. The prognostic model was developed from 935 PE patients. Univariable analysis of 138 candidate variables was followed by penalized and standard logistic regression on 26 retained variables, and then tested with a validation database (N = 801).ResultsLogistic regression yielded a nine-variable model, then simplified to a nine-point tool (PE-SCORE): one point each for abnormal RV by echocardiography, abnormal RV by computed tomography, systolic blood pressure < 100 mmHg, dysrhythmia, suspected/confirmed systemic infection, syncope, medico-social admission reason, abnormal heart rate, and two points for creatinine greater than 2.0 mg/dL. In the development database, 22.4% had the primary outcome. Prognostic accuracy of logistic regression model versus PE-SCORE model: 0.83 (0.80, 0.86) vs. 0.78 (0.75, 0.82) using area under the curve (AUC) and 0.61 (0.57, 0.64) vs. 0.50 (0.39, 0.60) using precision-recall curve (AUCpr). In the validation database, 26.6% had the primary outcome. PE-SCORE had AUC 0.77 (0.73, 0.81) and AUCpr 0.63 (0.43, 0.81). As points increased, outcome proportions increased: a score of zero had 2% outcome, whereas scores of six and above had ≥ 69.6% outcomes. In the validation dataset, PE-SCORE zero had 8% outcome [no deaths], whereas all patients with PE-SCORE of six and above had the primary outcome.ConclusionsPE-SCORE model identifies PE patients at low- and high-risk for deterioration and may help guide decisions about early outpatient management versus need for hospital-based monitoring.