ABSTRACT
Objective: To investigate whether hs-CRP and IL-6 provide additional diagnostic value beyond that achieved by the HEART score in patients with chest pain suggestive of acute coronary syndrome (ACS) admitted to the emergency department (ED). Methods: This was a post hoc analysis using data from the RACING-MI study. Baseline data, including hs-CRP and IL-6 levels, were analyzed using the plasma from the biobank. A total of 818 patients with chest pain suggestive of ACS were included in this analysis. Of these, 98 were diagnosed with ACS (12%). Logistic regression was used to identify the independent predictors of ACS development in patients with chest pain. Results: hs-CRP levels >2 mg/L were observed in 50% of all ACS cases. IL-6 levels >1.3 pg/mL were observed in 71% of all ACS cases. hs-CRP had a sensitivity of 50% and specificity of 51% for the diagnosis of ACS, whereas IL-6 had a sensitivity of 71% and specificity of 29%. The diagnostic likelihood ratios for ACS was 1.0 for hs-CRP>2 mg/L and IL-6 > 1.3 pg/mL, respectively. Logistic regression analysis revealed that age, male gender, and ongoing smoking were associated with ACS in patients with acute chest pain. No association was found between IL-6 or hs-CRP level and ACS. This was observed for both IL-6 and hs-CRP, whether assessed on a continuous scale or using prespecified cut-off values. Conclusion: Among the 818 patients admitted to the ED with chest pain suggestive of ACS, neither hs-CRP nor IL-6 provided an independent added diagnostic value. Our results suggest that inflammatory markers have limited diagnostic value in detecting patients with ACS in the ED.
ABSTRACT
STUDY OBJECTIVE: N-terminal pro-brain natriuretic peptide (NT-proBNP) measurements can be used to rule out heart failure in patients with sinus rhythm. Atrial fibrillation often coexists with heart failure but affects NT-proBNP levels. This study aims to identify the optimal NT-proBNP cut-off value for ruling out heart failure among atrial fibrillation patients. METHODS: This prospective study included 409 atrial fibrillation patients admitted to the emergency department. The inclusion criterion was documented atrial fibrillation on a 12lead electrocardiogram. All patients completed a NT-proBNP blood sample, a chest X-ray and an echocardiogram. Heart failure was defined as a left ventricular ejection fraction of <40%. RESULTS: In total, 409 patients were included (mean age: 75.2 ± 11.6). The median NT-proBNP level was 2577 ng/L (quartiles: 1185-5438) and 21% had heart failure. We found a lower median NT proBNP level of 3187 ± 3973 ng/L in patients without heart failure compared to 9254 ± 8008 ng/L in patients with heart failure (absolute difference: 4131, 95% (CI): 3299-4986, p < 0.001). The area under the receiver operating characteristic curve for diagnosing heart failure was 0.82 (95% confidence interval: 0.77-0.87). The optimal cut-off value for ruling out heart failure was 739 ng/L with a sensitivity of 99%, a specificity of 18%, and a negative predictive value of 98%. CONCLUSIONS: NT-proBNP can be used to rule out heart failure in atrial fibrillation patients with a high negative predictive value, but low specificity. TRIAL REGISTRATION NUMBER: NCT04125966. https://clinicaltrials.gov/ct2/show/NCT04125966.
