ABSTRACT Background: There is a lack of studies supporting the association between the uric acid/albumin ratio (UAR) and the development of new-onset atrial fibrillation (NOAF) in ST-elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI). Objective: The objective of the study was to assess the efficacy of the UAR for predicting the occurrence of NOAF in STEMI patients undergoing pPCI. Methods: We recruited 1484 consecutive STEMI patients in this retrospective and cross-sectional investigation. The population sample was classified based on the development of NOAF during hospitalization. NOAF was defined as an atrial fibrillation (AF) observed during hospitalization in patients without a history of AF or atrial flutter. The UAR was computed by dividing the serum uric acid (UA) level by serum albumin level. Results: After pPCI, 119 STEMI patients (8%) were diagnosed with NOAF. NOAF patients had higher serum UAR levels than individuals who did not have NOAF. According to the multivariable logistic regression model, the UAR was an independent predictor for NOAF in STEMI patients (OR: 6.951, 95% CI: 2.978-16.28, p < 0.001). The area under curve (AUC) value of the UAR in a receiver operating characteristics (ROC) evaluation was 0.758, which was greater than those of its components (albumin [AUC: 0.633] and UA [AUC: 0.647]) and C-reactive protein (AUC: 0.714). The optimal UAR value in predicting NOAF in STEMI patients was greater than 1.39, with a sensitivity of 69% and a specificity of 74.5%. Conclusion: To the best of our knowledge, this is the first study indicating that the UAR was an independent predictor of NOAF development in STEMI patients.

SUMMARY OBJECTIVES: Cardiovascular diseases are also considered to increase the risk of death in COVID-19 patients. However, real-world data concerning the risk factors for death in patients with severe COVID-19 still remain vague. This study aimed to identify the potential risk factors associated with mortality in severe COVID-19 patients. METHODS: All consecutive patients admitted to the intensive care unit (ICU) of our institute for COVID-19 for severe COVID-19 pneumonia from April 1, 2020 to July 20, 2020 were included in the analysis. Patient characteristics, including complete medical history and comorbid diseases, blood test results during admission and on day 7, and clinical characteristics were compared between survivors and nonsurvivors. RESULTS: There was no significant difference between survivors and nonsurvivors regarding age, gender, and preexisting cardiovascular diseases. Moreover, the rate of the medications including angiotensin-converting enzyme (ACE) inhibitor and angiotensin receptor blockers did not differ between survivors and nonsurvivors. The peak C-reactive protein (CRP), procalcitonin, fibrinogen, and d-dimer levels and the rate for chronic renal failure were significantly higher in nonsurvivors compared with survivors. Intubated patients had a higher risk of death than the others had. CONCLUSIONS: This study failed to demonstrate a significant difference in preexisting cardiovascular diseases and cardiovascular medications between survivors and nonsurvivors who were admitted to ICU for severe COVID-19. Our findings indicate that the presence of chronic renal failure, a high peak ferritin concentration, and the need for invasive mechanical ventilation appear predictive for mortality. We propose that these risk factors should be taken into account in defining the risk status of severe COVID-19 patients admitted to the ICU.

SUMMARY OBJECTIVE: The metabolic syndrome involves both metabolic and cardiovascular risk factors and is associated with cardiovascular mortality. Epicardial fat tissue plays a crucial role in deleterious effects of metabolic syndrome on the heart, including myocardial fibrosis. The fragmented QRS reflects heterogeneous depolarization of the myocardium and occurs as a result of fibrosis. Thus, we aimed to investigate whether there is an association between fragmented QRS and epicardial fat tissue in patients with metabolic syndrome. METHODS: This study enrolled 140 metabolic syndrome patients, of whom 35 patients with fragmented QRS (+) and 105 patients with fragmented QRS (−). The two groups were compared with respect to clinical, laboratory, electrocardiographic, and echocardiographic indexes. RESULTS: Fragmented QRS (+) patients had higher waist circumference, red cell distribution width, creatinine, left ventricular end-systolic diameter, left atrium diameter, septal a velocity, QRS duration, and epicardial fat tissue compared with fragmented QRS (−) patients. Waist circumference, red cell distribution width, QRS duration, left ventricular end-systolic diameter, left atrium diameter, septal a velocity, and epicardial fat tissue were significantly associated with the presence of fragmented QRS. The QRS duration and epicardial fat tissue were independently associated with the presence of fragmented QRS on surface electrocardiographic in metabolic syndrome patients. CONCLUSIONS: Epicardial fat tissue and QRS duration were independently associated with the presence of fragmented QRS. Basic echocardiographic and electrocardiographic parameters might be used for the risk stratification in metabolic syndrome patients.

Resumo Fundamento O índice de inflamação imune sistêmica (SII, systemic immune-inflammation index) tem sido descrito como um novo marcador prognóstico em tumores e doenças cardiovasculares. Objetivos Investigar a associação entre eventos cardiovasculares adversos em pacientes com infarto agudo do miocárdio com supradesnivelamento do segmento ST (IAMCSST). Métodos Foi realizado um estudo observacional retrospectivo em 843 pacientes com IAMCSST. Os pacientes foram divididos em dois grupos segundo valores medianos de SII. A análise de regressão de Cox foi usada para detectar preditores independentes de eventos adversos cardiovasculares. A melhora na capacidade discriminatória pela adição do SII aos fatores de risco tradicionais – idade, hipertensão, diabetes mellitus, e sexo masculino para eventos adversos maiores foi calculada por estatística c, melhora da discriminação integrada (IDI), e melhora na reclassificação. Um valor de p bilateral <0,05 foi considerado estatisticamente significativo. Resultados O grupo com SII elevado apresentou idade mais avançada que o grupo com SII baixo (61,2±11,2 e 59,2±7,9, respectivamente, p=0,002). O grupo com SII elevado apresentou taxas mais altas de morte cardiovascular, infarto do miocárdio não fatal, acidente vascular cerebral não fatal, hospitalização por insuficiência cardíaca, revascularização, e eventos cardiovasculares adversos maiores que no grupo com SII baixo. O SII foi um preditor independente de todos os eventos mencionados. A adição do SII aos fatores de risco tradicionais melhorou sua capacidade discriminatória para eventos cardiovasculares. O SII foi superior à razão neutrófilo-linfócito e à razão plaqueta-linfócito para predizer eventos adversos cardiovasculares. Conclusão O SII foi um preditor independente de eventos adversos maiores em pacientes com IAMCSST e pode ser usado para melhorar a predição de eventos adversos risco, especialmente se combinado com fatores de risco tradicionais.

Abstract Background The systemic immune-inflammation index (SII) has been reported as a new prognostic marker in tumors and cardiovascular diseases Objective To investigate the association of SII with adverse cardiovascular events in patients with ST-segment elevated myocardial infarction (STEMI). Methods A retrospective observational study was conducted on 843 patients with STEMI. Patients were divided into two groups based on the median value of SII. Major adverse cardiovascular events were compared between SII groups. Cox regression analysis was used for detecting independent predictors of cardiovascular adverse events. The improvement of discrimination ability by adding SII to the traditional risk factors such as age, hypertension, diabetes mellitus, and male gender for major adverse events was calculated by c-statistics, integrated discrimination improvement, and net reclassification improvement. A two-sided p-value <0.05 was considered significant. Results High SII group was older than the low SII group (61.2±11.2, 59.2±7.9, respectively, p=0.002). The high SII group had higher rates of cardiac death, nonfatal myocardial infarction, nonfatal stroke, hospitalization for heart failure, revascularization, and composite major adverse cardiovascular events than the low SII group. SII was an independent predictor of all events mentioned above. Adding SII to traditional risk factors improved their discrimination ability for cardiovascular events. SII was superior to the neutrophil-to-lymphocyte and platelet-to- lymphocyte ratios for predicting cardiovascular adverse events. Conclusion SII was an independent predictor of major adverse events in patients with STEMI and may be used to improve the prediction of adverse events, especially when combined with traditional risk factors.