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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.
ABSTRACT
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.
Subject(s)
Humans , Metabolic Syndrome/complications , Echocardiography , Adipose Tissue/diagnostic imaging , Electrocardiography/methods , Waist CircumferenceABSTRACT
Resumo Fundamento Atualmente, o vício em heroína é um problema de saúde preocupante, e as informações sobre os efeitos eletrocardiográficos da heroína são limitadas. Objetivos O objetivo do presente estudo é investigar os efeitos da dependência de heroína em parâmetros eletrocardiográficos. Métodos Um total de 136 indivíduos, incluindo 66 indivíduos que fumam heroína como grupo de estudo e 70 indivíduos saudáveis sem dependência de drogas como grupo de controle, foram incluídos no estudo. Indivíduos que injetam heroína foram excluídos. A avaliação eletrocardiográfica (ECG) dos usuários de heroína foi realizada e comparada com as do grupo controle. Além disso, os ECGs pré e pós-tratamento do grupo usuário de heroína foram comparados. Um valor de p<0,05 foi aceito como estatisticamente significativo. Resultados A frequência cardíaca (77,2±12,8 versus 71,4±11,2; p=0,02) foi maior no grupo usuário de heroína em comparação com o grupo controle. Os intervalos QT (341,50±25,80 versus 379,11±45,23; p=0,01), QTc (385,12±29,11 versus 411,3±51,70; p<0,01) e o intervalo do pico ao fim da onda T (Tpe) (65,41±10,82 versus 73,3±10,13; p<0,01) foram significativamente menores no grupo usuário de heroína. Nenhuma diferença foi observada entre os grupos com respeito às razões Tpe/QT e Tpe/QTc. Na análise de subgrupo do grupo usuário de heroína, os intervalos QT (356,81±37,49 versus 381,18±40,03; p<0,01) e QTc (382,06±26,41 versus 396,06±29,80; p<0,01) foram significativamente mais curtos no período pré-tratamento. Conclusão O vício em heroína afeta significativamente os intervalos de tempo QT, QTc e Tpe. Os efeitos de arritmia desses parâmetros já são conhecidos. Os parâmetros eletrocardiográficos desses indivíduos merecem mais atenção. (Arq Bras Cardiol. 2020; 115(6):1135-1141)
Abstract Background Heroin addiction is currently a significant health problem, and information on the electrocardiographic effects of heroin is limited. Objetivo The aim of the present study is to investigate effects of heroin addiction on electrocardiographic parameters. Methods A total of 136 individuals, including 66 individuals who smoke heroin as the study group and 70 healthy individuals with no drug addiction as the control group, were included in the study. Individuals who inject heroin were excluded. Electrocardiographic (ECG) evaluation of those using heroin was performed and compared with those of the control group. In addition, pre-treatment and post-treatment ECG of the heroin group were compared. A p-value of <0.05 was accepted as statistically significant. Results Heart rate (77.2±12.8 versus 71.4±11.2; p=0.02) were found to be higher in the heroin group compared to the control group. QT (341.50±25.80 versus 379.11±45.23; p=0.01), QTc intervals (385.12±29.11 versus 411.3±51.70; p<0.01), and T peak to end time (Tpe) (65.41±10.82 versus 73.3±10.13; p<0.01) were significantly shorter in the heroin group. No difference was observed between the groups with regard to Tpe/QT and Tpe/QTc ratios. In the subgroup analysis of the heroin group, QT (356.81±37.49 versus 381.18±40.03; p<0.01) and QTc (382.06±26.41 versus 396.06±29.80; p<0.01) intervals were significantly shorter in the pre-treatment period. Conclusion Heroin addiction significantly affects the QT, QTc, and Tpe time intervals. The arrhythmia effects of these parameters are well known. More attention to the electrocardiographic parameters of these individuals should be given. (Arq Bras Cardiol. 2020; 115(6):1135-1141)