Predicting hemorrhage and obstruction in the elderly population using thromboelastographic indices

Area of Science:

• Geriatric Medicine
• Hematology
• Medical Diagnostics

Background:

• Thromboelastography (TEG) is used to assess hemostasis.
• Current TEG cut-off values may not be optimal for predicting clinical outcomes in elderly patients.

Purpose of the Study:

• To evaluate the predictive value of different thromboelastography (TEG) indices for hemorrhage and vascular obstruction in elderly individuals.
• To determine optimal TEG cut-off values for improved prediction accuracy.

Main Methods:

• Prospective cohort study of 403 elderly patients (≥65 years) without hematologic disorders.
• TEG indices (R, K, MA, ANGLE) were analyzed using Receiver Operating Characteristic (ROC) curves.
• Maximal Youden's index identified optimal cut-off values for predicting hemorrhage and vascular obstruction.

Main Results:

• Standard TEG cut-offs showed poor prediction for vascular obstruction and modest prediction for hemorrhage.
• Optimized cut-offs improved prediction: vascular obstruction (R=7, K=1.5, MA=63.5, ANGLE=67.1), hemorrhage (R=7.8, K=2.3, MA=50.5, ANGLE=53.7).
• Combinations of TEG indices demonstrated enhanced predictive value, particularly for hemorrhage (AUC 0.66).

Conclusions:

• Existing TEG cut-off values are insufficient for predicting hemorrhage and vascular obstruction in the elderly.
• ROC curve analysis-derived optimal cut-off values enhance the prediction of these critical vascular events in this population.