Effect of Using an Age-adjusted D-dimer to Assess for Pulmonary Embolism in Community Emergency Departments

Association of age-adjusted D-dimer with deep vein thrombosis risk in patients with spinal cord injury: a cross-sectional study

STUDY DESIGN

Article.

OBJECTIVE

To elucidate the association of age-adjusted D-dimer (AAD) with deep vein thrombosis (DVT) risk to lower limbs in patients with spinal cord injury (SCI).

SETTING

Rehabilitation Medicine Department of the First Affiliated Hospital of China University of Science and Technology.

METHODS

Retrospective analysis of 250 patients with SCI in the rehabilitation department from August 2018 to December 2021. Quartiles divided the D-dimer level into four groups to analyze the association between AAD level and DVT risk.

RESULTS

Age was identified as a covariate of D-dimer and DVT risk. For non-adjusted model, when D-dimer increased by 1 mg/L, DVT risk increased 0.23-fold (P < 0.05); for minimally-adjusted model (adjusted for age), the risk increased 0.22-fold (P < 0.05); and for fully-adjusted model (adjusted for age, sex, pulmonary infection, degree, grades, and career), it increased 0.19-fold (P < 0.05). AAD had a curvilinear association with DVT risk, and the fold point was 1.9 mg/L (P < 0.05). When serum AAD level was <1.9 mg/L (K < 1.9), the estimated change in DVT risk was 3.34 (P < 0.05), and when serum AAD level was >1.9 mg/L (K > 1.9), the estimated change was 1.14 (P < 0.05). Urinary tract infection (UTI) and fibrinogen(tertile) had a interaction association with D-dimer level and DVT risk (P interaction < 0.05).

CONCLUSION

Patients with SCI who receive rehabilitation treatment with AAD level >1.9 mg/L need to be paid close attention to, especially those with UTI and high levels of fibrinogen.

Suspected Acute Pulmonary Embolism: Gestalt, Scoring Systems, and Artificial Intelligence

Pulmonary embolism (PE) remains a diagnostic challenge in 2021. As the pathology is potentially fatal and signs and symptoms are nonspecific, further investigations are classically required. Based on the Bayesian approach, clinical probability became the keystone of the diagnostic strategy to rule out PE in the case of a negative testing. Several clinical probability assessment methods are validated: gestalt, the Wells score, or the revised Geneva score. While the debate persists as to the best way to assess clinical probability, its assessment allows for the good interpretation of the investigation results and therefore directs the correct diagnostic strategy. The wide availability of computed tomography pulmonary angiography (CTPA) resulted in a major increase in investigations with a moderate increase in diagnosis, without any notable improvement in patient outcomes. This leads to a new challenge for PE diagnosis which is the limitation of the number of testing for suspected PE. We review different strategies recently developed to achieve this goal. The last challenge concerns the implementation in clinical practice. Two approaches are developed: simplification of the strategies versus the use of digital support tools allowing more sophisticated strategies. Artificial intelligence with machine-learning algorithms will probably be a future tool to guide the physician in this complex approach concerning acute PE suspicion.