ABSTRACT
Resumo Fundamento: A fração de ejeção (FE) tem sido utilizada em análises fenotípicas e na tomada de decisões sobre o tratamento de insuficiência cardíaca (IC). Assim, a FE tornou-se parte fundamental da prática clínica diária. Objetivo: Este estudo tem como objetivo investigar características, preditores e desfechos associados a alterações da FE em pacientes com diferentes tipos de IC grave. Métodos: Foram incluídos neste estudo 626 pacientes com IC grave e classe III-IV da New York Heart Association (NYHA). Os pacientes foram classificados em três grupos de acordo com as alterações da FE, ou seja, FE aumentada (FE-A), definida como aumento da FE ≥10%, FE diminuída (FE-D), definida como diminuição da FE ≥10%, e FE estável (FE-E), definida como alteração da FE <10%. Valores p inferiores a 0,05 foram considerados significativos. Resultados: Dos 377 pacientes com IC grave, 23,3% apresentaram FE-A, 59,5% apresentaram FE-E e 17,2% apresentaram FE-D. Os resultados mostraram ainda 68,2% de insuficiência cardíaca com fração de ejeção reduzida (ICFEr) no grupo FE-A e 64,6% de insuficiência cardíaca com fração de ejeção preservada (ICFEp) no grupo FE-D. Os preditores de FE-A identificados foram faixa etária mais jovem, ausência de diabetes e fração de ejeção do ventrículo esquerdo (FEVE) menor. Já os preditores de FE-D encontrados foram ausência de fibrilação atrial, baixos níveis de ácido úrico e maior FEVE. Em um seguimento mediano de 40 meses, 44,8% dos pacientes foram vítimas de morte por todas as causas. Conclusão: Na IC grave, a ICFEr apresentou maior percentual no grupo FE-A e a ICFEp foi mais comum no grupo FE-D.
Abstract Background: Ejection fraction (EF) has been used in phenotype analyses and to make treatment decisions regarding heart failure (HF). Thus, EF has become a fundamental part of daily clinical practice. Objective: This study aims to investigate the characteristics, predictors, and outcomes associated with EF changes in patients with different types of severe HF. Methods: A total of 626 severe HF patients with New York Heart Association (NYHA) class III-IV were enrolled in this study. The patients were classified into three groups according to EF changes, namely, increased EF (EF-I), defined as an EF increase ≥10%, decreased EF (EF-D), defined as an EF decrease ≥10%, and stable EF (EF-S), defined as an EF change <10%. A p-value lower than 0.05 was considered significant. Results: Out of 377 severe HF patients, 23.3% presented EF-I, 59.5% presented EF-S, and 17.2% presented EF-D. The results further showed 68.2% of heart failure with reduced ejection fraction (HFrEF) in the EF-I group and 64.6% of heart failure with preserved ejection fraction (HFpEF) in the EF-D group. The predictors of EF-I included younger age, absence of diabetes, and lower left ventricular ejection fraction (LVEF). The predictors of EF-D were absence of atrial fibrillation, lower uric acid level, and higher LVEF. Within a median follow-up of 40 months, 44.8% of patients suffered from all-cause death. Conclusion: In severe HF, HFrEF presented the highest percentage in the EF-I group, and HFpEF was most common in the EF-D group.
Subject(s)
Humans , Heart Failure/drug therapy , Prognosis , Stroke Volume , Ventricular Function, Left , Heart VentriclesABSTRACT
Objective To analyze the implementation of national continuing medical education (CME) programme in Chinese Center for Disease Control and Prevention during 2007-2012,in order to improve quality of CME.Methods According to the data from national CME system,Excel 2007 was used to analyze the authorized and executed programme data to calculate implementation rate; to calculate constituent ratio of different project hosting days; analyzing the tide of a technical post data to calculate constituent ratio of different professional ride; analyzing different types of lecture to calculate percentage of theory class hours and experiment class hours; calculating constituent ratio of different professional title about students,using SPSS 13.0 to conduct x2 test for constituent ratio of different professional tide about students in different years.Excel 2007 was used to analyze training effect data,calculating constituent ratio of degree of effect satisfaction.Results 361 projects were approved,52 projects of which were conducted during 2007-2012 with the execution rate of 69.81％.Most hosting days were 3-6 d.Teachers who have senior professional tides gain 80.25％(1 170/1 458).The majority (70.85％,20 642/29 136) of students have junior and intermediate technical tides; Students in different years Tide Distribution is not exacdy the same,junior and intermediate technical tides gain the most proportion(X2=2 215.79,P=0.000).Students are satisfied with the progressiveness of training content.Conclusions Implementation of projects are overall good.In the future,it is needed to expand the scale,and enhance surveillance and evaluation to improve project quality according to the characteristic of project.