Causes of Troponin Elevation and Associated Mortality in Young Patients.

BACKGROUND: While increased serum troponin levels are often due to myocardial infarction, increased levels may also be found in a variety of other clinical scenarios. Although these causes of troponin elevation have been characterized in several studies in older adults, they have not been well characterized in younger individuals. METHODS: We conducted a retrospective review of patients 50 years of age or younger who presented with elevated serum troponin levels to 2 large tertiary care centers between January 2000 and April 2016. Patients with prior known coronary artery disease were excluded. The cause of troponin elevation was adjudicated via review of electronic medical records. All-cause death was determined using the Social Security Administration's death master file. RESULTS: Of the 6081 cases meeting inclusion criteria, 3574 (58.8%) patients had a myocardial infarction, while 2507 (41.2%) had another cause of troponin elevation. Over a median follow-up of 8.7 years, all-cause mortality was higher in patients with nonmyocardial infarction causes of troponin elevation compared with those with myocardial infarction (adjusted hazard ratio [HR] 1.30; 95% confidence interval [CI], 1.15-1.46; P < .001). Specifically, mortality was higher in those with central nervous system pathologies (adjusted HR 2.21; 95% CI, 1.85-2.63; P < .001), nonischemic cardiomyopathies (adjusted HR 1.66; 95% CI, 1.37-2.02; P < .001), and end-stage renal disease (adjusted HR 1.36; 95% CI, 1.07-1.73; P = .013). However, mortality was lower in patients with myocarditis compared with those with an acute myocardial infarction (adjusted HR 0.43; 95% CI:, 0.31-0.59; P < .001). CONCLUSION: There is a broad differential for troponin elevation in young patients, which differs based on demographic features. Most nonmyocardial infarction causes of troponin elevation are associated with higher all-cause mortality compared with acute myocardial infarction.

A new aortic injury score predicts early rupture more accurately than clinical assessment.

OBJECTIVE: The optimal timing for repair of a high-grade blunt thoracic aortic injury (BTAI) is uncertain. Delayed repair is common and associated with improved outcomes, but some lesions may rupture during observation. To determine optimal patient selection for appropriate management, we developed a pilot clinical risk score to evaluate aortic stability and predict rupture. METHODS: Patients presenting in stable condition with Society for Vascular Surgery grade III or IV BTAI diagnosed on computed tomography (CT) were retrospectively reviewed. To determine clinical and radiographic factors associated with aortic rupture, patients progressing to aortic rupture (defined by contrast extravasation on CT or on operative or autopsy findings) were compared with those who had no intervention ≤48 hours of admission. A model targeting 100% sensitivity for rupture was generated and internally validated by bootstrap analysis. Clinical utility was tested by comparison with clinical assessment by surgeons experienced in BTAI management who were provided with CT images and clinical data but were blinded to outcome. RESULTS: The derivation cohort included 18 patients whose aorta ruptured and 31 with stable BTAI. There was no difference in age, gender, injury mechanism, nonchest injury severity, blood pressure, or Glasgow Coma Scale on admission between patient groups. As dichotomous factors, admission lactate >4 mM, posterior mediastinal hematoma >10 mm, and lesion/normal aortic diameter ratio >1.4 on the admission CT were independently associated with aortic rupture. The model had an area under the receiver operator curve of .97, and in the presence of any two factors, was 100% sensitive and 84% specific for predicting aortic rupture. No aortic lesions ruptured in patients with fewer than two factors. In contrast, clinical assessment had lower accuracy (65% vs 90% total accuracy, P < .01). CONCLUSIONS: This novel risk score can be applied on admission using clinically relevant factors that incorporate patient physiology, size of the aortic lesion, and extent of the mediastinal hematoma. The model reliably identifies and distinguishes patients with high-grade BTAI who are at risk for early rupture from those with stable lesions. Although preliminary, because it is more accurate than clinical assessment alone, the score may improve patient selection for emergency or delayed intervention.