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1.
Rev. Soc. Bras. Clín. Méd ; 18(3): 139-144, mar 2020.
Article in Portuguese | LILACS | ID: biblio-1361509

ABSTRACT

Objetivo: Avaliar a associação entre marcadores de gravidade e complexidade, assim como de desfechos em 30 dias, com a razão de monócitos por HDL em pacientes com primeiro infarto agudo do miocárdio. Métodos: Foram selecionados 580 pacientes com primeiro infarto agudo do miocárdio submetidos a questionário durante a internação e seguimento em 30 dias. Os dados laboratoriais foram obtidos de 312 pacientes na entrada e de 237 em 72 horas. A gravidade e a complexidade foram avaliadas pelo TIMI frame count, pela fração de ejeção do ventrículo esquerdo e pelo escore Syntax. Resultados: O estudo evidenciou correlação positiva entre a razão de monócitos por HDL em 72 horas e o TIMI frame count, com r de 0,219 (p=0,018). Também evidenciou maior mediana de razão de monócitos por HDL nos pacientes que apresentaram trombose de stent em até 30 dias da internação ­ 35,8 (30,0-43,9) ­ comparados àqueles que não apresentaram, com 18,27 (12,98-26,74), p=0,038. Não houve correlação significativa entre a razão de monócitos por HDL da entrada com TIMI frame count, escore SYNTAX ou fração de ejeção do ventrículo esquerdo. Conclusão: Houve correlação positiva entre a razão de monócitos por HDL em 72 horas e o TIMI frame count em pacientes com primeiro infarto agudo do miocárdio submetidos à angioplastia primária. Verificou-se, também, associação entre maiores níveis de razão de monócitos por HDL na entrada com trombose de stent em 30 dias.


Objective: To investigate the association between complexity and severity markers, as well as 30-day outcomes with the monocytes to HDL-cholesterol ratio in patients with first myocardial infarction. Methods: A total of 580 patients with first myocardial infarction was selected and answered a questionnaire during hospitalization and 30-day follow up. Laboratory data were obtained at admission for 312 patients and for 237 in 72 hours. Severity and complexity were assessed by TIMI frame count, left ventricular ejection fraction, and Syntax score. Results: The study showed that the monocyte to HDL ratio in 72 hours was significantly positively correlated with TIMI frame count, with r of 0.219 (p=0.018). It also showed higher monocyte to HDL ratio median in patients presenting stent thrombosis within 30 days of hospitalization ­ 35,8 (30,0-43,9) ­ compared to those who did not develop it 18,27 (12,98-26,74), p=0.038. No correlation was found between admission monocytes to HDL ratio and TIMI frame count, Syntax score, or left ventricular ejection fraction. Conclusion: There was a positive correlation between Monocytes to HDL ratio in 72 hours and TIMI frame count in patients with first myocardial infarction undergoing primary percutaneous coronary intervention. An association between higher levels of admission monocyte to HDL ratio and stent thrombosis in 30 days was also observed.


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Thrombosis/etiology , Monocytes , Stents/adverse effects , Coronary Angiography/methods , Lipoproteins, HDL , Myocardial Infarction/complications , Prospective Studies , Surveys and Questionnaires , Angioplasty , Sex Distribution , Age Distribution , Heart Disease Risk Factors , Myocardial Infarction/blood
2.
Int. j. cardiovasc. sci. (Impr.) ; 31(2): 107-113, mar.-abr. 2018. tab
Article in English | LILACS | ID: biblio-954091

ABSTRACT

Acute myocardial infarction is one of the main causes of morbidity and mortality in the world, and one of the factors with the greatest prognostic impact is early specialist care, but there are still many factors that delay patient's arrival at the hospital. Objective: To correlate social, educational, cognitive and clinical factors with time to hospital arrival after the onset of acute myocardial infarction's first symptoms. Methods: Time interval to search for medical care was measured by patient's report of the onset of infarction's first symptoms and hospital admission verified through electronic medical data of the emergency service. The correlation between delta-T and other variables was performed through Kendall's correlation. Values of p < 0.05 were considered statistically significant. Results: There was no correlation between delta-T and scholarity, or between delta - T and Mini Mental State Examination performance, as well as no association between the presence of hypertension, diabetes mellitus, dyslipidemia, family history, sedentary lifestyle or smoking with arrival time at the hospital. Comparisons between delta-T and marital status were also not statistically significant. Transfer from another health service and city of origin were the most determinant delay factors in our population's arrival at the hospital. Conclusion: The present study suggests that, in our population, educational, social and cognitive factors are not directly related to the delay in arriving at the hospital


Subject(s)
Risk Factors , Emergency Medical Services/methods , Myocardial Infarction/complications , Chest Pain/complications , Indicators of Morbidity and Mortality , Data Interpretation, Statistical , Prospective Studies , Hospital Mortality , Myocardial Ischemia/complications , Myocardial Ischemia/mortality , Diabetes Mellitus , Sedentary Behavior , Hypertension/complications , Angina Pectoris/complications
3.
Int. j. cardiovasc. sci. (Impr.) ; 31(2): f:107-l:113, mar.-abr. 2018. tab
Article in English | LILACS | ID: biblio-881957

ABSTRACT

Background: Acute myocardial infarction is one of the main causes of morbidity and mortality in the world, and one of the factors with the greatest prognostic impact is early specialist care, but there are still many factors that delay patient's arrival at the hospital. Objective: To correlate social, educational, cognitive and clinical factors with time to hospital arrival after the onset of acute myocardial infarction's first symptoms. Methods: Time interval to search for medical care was measured by patient's report of the onset of infarction's first symptoms and hospital admission verified through electronic medical data of the emergency service. The correlation between delta-T and other variables was performed through Kendall's correlation. Values of p < 0.05 were considered statistically significant. Results: There was no correlation between delta-T and scholarity, or between delta - T and Mini Mental State Examination performance, as well as no association between the presence of hypertension, diabetes mellitus, dyslipidemia, family history, sedentary lifestyle or smoking with arrival time at the hospital. Comparisons between delta-T and marital status were also not statistically significant. Transfer from another health service and city of origin were the most determinant delay factors in our population's arrival at the hospital. Conclusion: The present study suggests that, in our population, educational, social and cognitive factors are not directly related to the delay in arriving at the hospital


Fundamentos: O infarto agudo do miocárdio se configura como uma das principais causas de morbimortalidade no mundo, e um dos fatores de maior impacto prognóstico é o atendimento especializado precoce, porém ainda existem inúmeros fatores que retardam a chegada do paciente até o hospital. Objetivo: Correlacionar fatores sociais, educacionais, cognitivos e clínicos com o tempo para a chegada no hospital após os primeiros sintomas de infarto agudo do miocárdio. Métodos: O tempo para a busca de atendimento médico foi mensurado entre o início dos primeiros sintomas de infarto relatado pelo paciente e o registro da admissão hospitalar em prontuário eletrônico do serviço de emergência. A correlação entre o delta T e outras variáveis foi verificada por meio da correlação de Kendall. Valores de p < 0,05 foram considerados estatisticamente significativos. Resultados: Não houve correlação entre delta T e escolaridade, e nem entre delta T e desempenho no Mini-Exame do Estado Mental, assim como não houve associação entre a presença de hipertensão arterial sistêmica, diabetes melito, dislipidemia, sedentarismo, história familiar ou tabagismo com o tempo de chegada no hospital. Comparações entre delta T e estado civil também não foram estatisticamente significativas. A transferência de outro serviço de saúde e a região de procedência foram os fatores que mais determinaram atraso no atendimento especializado de nossa população. Conclusão: Fatores educacionais, sociais e cognitivos não estiveram diretamente relacionados ao atraso na chegada ao hospital


Subject(s)
Humans , Male , Female , Middle Aged , Emergency Medical Services/methods , Myocardial Infarction/complications , Risk Factors , Angina Pectoris/complications , Chest Pain/complications , Diabetes Mellitus/diagnosis , Hospital Mortality , Hypertension/complications , Indicators of Morbidity and Mortality , Myocardial Ischemia/complications , Myocardial Ischemia/mortality , Prospective Studies , Sedentary Behavior , Data Interpretation, Statistical
4.
Int. j. cardiovasc. sci. (Impr.) ; 31(1): f:22-l:25, jan.-mar. 2018. tab
Article in Portuguese | LILACS | ID: biblio-883663

ABSTRACT

Fundamentos: A atividade física reduz o risco de doença coronariana, uma das principais causas de morte no mundo. Objetivos: Este estudo pretende correlacionar as atividades físicas com variáveis clínicas de pacientes internados em hospitais públicos de Santa Catarina após o primeiro infarto agudo do miocárdio. Métodos: Os pacientes selecionados foram submetidos a questionário que engloba diferentes variáveis clínicas. A atividade física foi mensurada através do Escore de Baecke. Os dados obtidos foram tabulados e analisados através do software SPSS 13.0 for Windows. A avaliação da normalidade foi realizada pelo teste de Kolmogorov-Smirnov. A correlação entre duas variáveis quantitativas foi avaliada pela Correlação de Pearson. Foram considerados significativos valores de p < 0,05. Resultados: O estudo evidenciou uma correlação positiva fraca entre o escore de Baecke e anos de escolaridade com r = 0,361 (p = 0,001). Houve uma correlação negativa fraca entre o escore de Baecke e o escore de depressão PHQ9 com r = -0,252 (p = 0,009). O estudo também apresentou correlação negativa fraca entre o escore de depressão PHQ9 e o Mini Mental com r = -0,258 (p = 0,007), assim como uma correlação negativa fraca entre o PHQ9 e os anos de escolaridade com r = -0,199 (p = 0,039). Conclusões: Existe uma correlação positiva entre atividade física e anos de escolaridade em pacientes internados com o primeiro infarto agudo do miocárdio. Há também uma correlação negativa entre atividade física e depressão nesses pacientes, assim como uma correlação negativa entre depressão e o Mini-Mental, e depressão e anos de escolaridade


Background: Physical activity reduces the risk of coronary heart disease, one of the leading causes of death in the world. Objectives: This study intends to correlate physical activity and clinical variables of the patients hospitalized in public hospitals of Santa Catarina after the first acute myocardial infarction. Methods: The selected patients answered a questionnaire on different clinical variables. Physical activity was measured using the Baecke's questionnaire. Data were tabulated and analyzed using the SPSS 13.0 for Windows software. Normality was assessed using the Kolmogorov­Smirnov test. Correlations between two quantitative variables were evaluated by Pearson's correlation. Values of p < 0.05 were considered statistically significant. Results: The study showed a weak positive correlation between the Baecke score and years of schooling (r = 0.361; p = 0.001). There was a weak negative correlation between the Baecke score and the PHQ9 depression score (r = ­0.252; p = 0.009). The study also showed a weak negative correlation between the PHQ9 depression score and the Mini Mental score (r = ­0.258; p = 0.007), as well as a weak negative correlation between PHQ9 and schooling years with (r = ­0.199, p = 0.039). Conclusions: There is a positive correlation between physical activity and years of schooling in hospitalized patients with first acute myocardial infarction. Negative correlations were found between physical activity and depression, between depression and the Mini­Mental State Examination, and between depression and years of schooling in these patients


Subject(s)
Male , Female , Exercise , Myocardial Infarction/complications , Patients , Physical Fitness , Cohort Studies , Coronary Artery Disease/prevention & control , Depression/complications , Echocardiography/methods , Educational Status , Electrocardiography , Risk Factors , Sedentary Behavior , Data Interpretation, Statistical , Surveys and Questionnaires
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