RESUMO OBJETIVO: O diagnóstico precoce e a estratificação de risco podem proporcionar um melhor prognóstico em casos de embolia pulmonar (EP). A copeptina surgiu como um valioso biomarcador preditivo de várias doenças cardiovasculares. O objetivo deste estudo é determinar os níveis de copeptina em pacientes com EP aguda e avaliar a sua relação com a severidade da doença e mortes relacionadas à EP. MÉTODOS: Um total de 54 pacientes e 60 indivíduos saudáveis foram incluídos neste estudo. As concentrações de copeptina e disfunções ventriculares direitas foram analisadas. A correlação entre os níveis de copeptina e parâmetros ecocardiográficos e hemodinâmicos foi examinada. Após essas primeiras medições, os pacientes foram avaliados em relação à mortalidade relacionada à EP após um ano. RESULTADOS: Os níveis de copeptina foram maiores em pacientes com EP do que no grupo de controle (8,3 ng/mL vs 3,8 ng/mL, p<0,001). Os níveis de copeptina eram significativamente maiores em pacientes com mortes relacionadas à EP e disfunção ventricular direita (10,2 vs 7,5 ng/ml, p=0,001; 10,5 vs 7,5 ng/ml, p=0,002, respectivamente). Com um valor de corte ≥5,85 para a copeptina, sua sensibilidade e especificidade preditivas para EP foram 71,9% e 85,0%, respectivamente (AUC=0,762, 95% IC=0,635 – 0,889, p<0,001). CONCLUSÃO: A medição da copeptina teve sensibilidade e especificidade preditivas moderadas para o diagnóstico de EP, e o nível de copeptina foi significativamente maior em pacientes com mortes relacionadas à EP após um ano. A copeptina pode ser um novo biomarcador preditivo útil para o diagnóstico, a estratificação de risco e o prognóstico de PE.

SUMMARY OBJECTIVE: Early diagnosis and risk stratification may provide a better prognosis in pulmonary embolism (PE). Copeptin has emerged as a valuable predictive biomarker in various cardiovascular diseases. The aim of this study was to determine the levels of copeptin in patients with acute PE and to evaluate its relationship with disease severity and PE-related death. METHODS: Fifty-four patients and 60 healthy individuals were included in this study. Copeptin concentrations and right ventricular dysfunction were analyzed. The correlation between copeptin levels and hemodynamic and echocardiographic parameters was examined. After these first measurements, patients were evaluated with PE-related mortality at the one-year follow-up. RESULTS: The copeptin levels were higher in PE patients than in the control group (8.3 ng/mL vs 3.8 ng/mL, p<0.001). Copeptin levels were found to be significantly higher in patients with PE-related death and right ventricular dysfunction (10.2 vs 7.5 ng/ml, p=0.001; 10.5 vs 7.5 ng/ml, p=0.002, respectively). When the cut-off value of copeptin was ≥5.85, its sensitivity and specificity for predicting PE were 71.9% and 85.0%, respectively (AUC=0.762, 95% CI=0.635-0.889, p<0.001). CONCLUSIONS: The copeptin measurement had moderate sensitivity and specificity in predicting the diagnosis of PE, and the copeptin level was significantly higher in patients with PE-related death at the one-year follow-up. Copeptin may be a useful new biomarker in predicting diagnosis, risk stratification, and prognosis of PE.

Abstract Introduction: Frailty is a condition of elderly characterized by increased vulnerability to stressful events. Frail patients are more likely to have adverse events. The purposes of this study were to define frailty in patients aged ≥ 70 years with chronic coronary syndrome (CCS) and to evaluate mortality and prognostic significance of frailty in these patients. Methods: We included 99 patients, ≥ 70 years old (mean age 74±5.3 years), with diagnosis of CCS. They were followed-up for up to 12 months. The frailty score was evaluated according to the Canadian Study of Health and Aging (CSHA). All patients were divided as frail or non-frail. The groups were compared for their characteristics and clinical outcomes. Results: Fifty patients were classified as frail, and 49 patients as non-frail. The 12-month Major Adverse Cardiac Events (MACE) rate was 69.4% in frail patients and 20% in non-frail patients. Frailty increases the risk for MACE as much as 3.48 times. Two patients died in the non-frail group and 11 patients died in the frail group. Frailty increases the risk for death as much as 6.05 times. When we compared the aforementioned risk factors by multivariate analysis, higher CSHA frailty score was associated with increased MACE and death (relative risk [RR] = 22.94, 95% confidence interval [CI] 3.33-158.19, P=0.001, for MACE; RR = 7.41, 95% CI 1.44-38.03, P=0.016, for death). Conclusion: Being a frail elderly CCS patient is associated with worse outcomes. Therefore, frailty score should be evaluated for elderly CCS patients as a prognostic marker.