Exploratory evaluation of the role of cardiac troponin on the clinical outcome of patients visiting emergency department with or without chronic kidney disease

Objective@#Elevated levels of cardiac troponin in chronic kidney disease (CKD) patients admitted to the emergency department (ED) is not well understood and is often ignored. This study aimed to investigate the impact of cardiac troponin I (TnI) levels on the clinical outcome of patients visiting the ED with or without CKD. @*Methods@#In this retrospective single-center cohort study, we enrolled patients visiting the ED without a diagnosis of coronary artery disease (CAD). Elevated cardiac TnI was defined as being ≥99th percentile of the normal population (Siemens ADVIA Centaur TnI-Ultra≥0.040 ng/mL). The clinical outcomes of patients with CKD stage≤2 and CKD stage ≥3 were compared. The primary endpoint was the 180-day all-cause death, including cardiovascular and non-cardiovascular deaths. @*Results@#Among a total of 30,472 patients (median age, 61 years; male sex, 54.3%), elevated TnI was found in 4,377 patients (14.4%). There were 3,634 deaths (11.9%) including 584 cardiovascular (1.9%) and 3,050 non-cardiovascular deaths (10.0%). The risk of all-cause death increased in patients with elevated TnI in both CKD stage≤2 (hazard ratio [HR], 2.1; 95% confidence interval [CI], 1.9-2.3) and CKD stage≥3 (HR, 1.5; 95% CI, 1.4-1.7), and so did the risks of cardiovascular and non-cardiovascular death (HR, 1.2-4.7) (P<0.05, all). The association of elevated TnI with death risk was consistent in multivariate analyses and in most clinical subgroup analyses. @*Conclusion@#Elevated TnI was associated with higher 180-day mortality irrespective of renal function among patients visiting the ED without documented CAD. CKD patients visiting the ED with elevated TnI may warrant additional evaluation or careful follow-up even without the presence of CAD.

The Relationship between EEG Findings and Prognosis in Out-of-Hospital Cardiac Arrest Patients during Therapeutic Hypothermia

PURPOSE: Prediction of neurologic outcome in survivors after cardiac arrest is difficult. In particular, since therapeutic hypothermia has emerged as the standard treatment for post cardiac arrest syndrome, the prediction has been more difficult. Methods for prediction of neurologic prognosis include the general neurologic examination, SSEPs, EEG, serum biomarkers, and so on. Among these, EEG was recommended for detection of non-convulsive seizure since early phase of post cardiac arrest syndrome. However, the relationship between EEG finding and neurologic outcome is not yet clear. METHODS: We conducted a retrospective observational study using a prospectively collected hypothermia database. We collected EEG findings during hypothermia and other data from January 2010 to December 2012. The EEG findings were classified according to five patterns as extremely low voltage, continuous slow wave, burst suppression, status epilepticus, and other. We analyzed the relationship between EEG pattern and one-month CPC score after cardiac arrest. RESULTS: During the study period, 121 patients were enrolled in the hypothermia database. Among these patients, 84 patients underwent EEG during hypothermia and were enrolled. The EEG patterns of enrolled patients were 20 extremely low voltage, 39 generalized slow wave, 15 burst suppression, 8 status epilepticus, and 2 alpha coma. None of the periodic, status eplilepticus, and alpha coma pattern patients showed a good neurologic outcome (CPC 1 or 2). Two of 20 extremely low voltage and 28 of 39 continuous slow wave pattern patients recovered to good neurologic outcome. CONCLUSION: Burst suppression and status epilepticus EEG pattern during hypothermia treatment showed an association with poor neurologic outcome.

The Relationship between EEG Findings and Prognosis in Out-of-Hospital Cardiac Arrest Patients during Therapeutic Hypothermia

PURPOSE: Prediction of neurologic outcome in survivors after cardiac arrest is difficult. In particular, since therapeutic hypothermia has emerged as the standard treatment for post cardiac arrest syndrome, the prediction has been more difficult. Methods for prediction of neurologic prognosis include the general neurologic examination, SSEPs, EEG, serum biomarkers, and so on. Among these, EEG was recommended for detection of non-convulsive seizure since early phase of post cardiac arrest syndrome. However, the relationship between EEG finding and neurologic outcome is not yet clear. METHODS: We conducted a retrospective observational study using a prospectively collected hypothermia database. We collected EEG findings during hypothermia and other data from January 2010 to December 2012. The EEG findings were classified according to five patterns as extremely low voltage, continuous slow wave, burst suppression, status epilepticus, and other. We analyzed the relationship between EEG pattern and one-month CPC score after cardiac arrest. RESULTS: During the study period, 121 patients were enrolled in the hypothermia database. Among these patients, 84 patients underwent EEG during hypothermia and were enrolled. The EEG patterns of enrolled patients were 20 extremely low voltage, 39 generalized slow wave, 15 burst suppression, 8 status epilepticus, and 2 alpha coma. None of the periodic, status eplilepticus, and alpha coma pattern patients showed a good neurologic outcome (CPC 1 or 2). Two of 20 extremely low voltage and 28 of 39 continuous slow wave pattern patients recovered to good neurologic outcome. CONCLUSION: Burst suppression and status epilepticus EEG pattern during hypothermia treatment showed an association with poor neurologic outcome.