Impacto de la bacteriemia por Pseudomonas aeruginosa en un hospital de tercer nivel: mortalidad y factores pronósticos

Alejandro Callejas-Díaz, Cristina Fernández-Pérez,Antonio Ramos-Martínez,Elena Múñez-Rubio,Isabel Sánchez-Romero, Juan Antonio Vargas Núñez

Medicina Clínica(2019)

引用 2|浏览6
暂无评分
摘要
BACKGROUND AND OBJECTIVES:Pseudomonas aeruginosa bacteraemia is associated with a very high mortality, conditioned by comorbidity, source, severity of the episode and lack of adequate treatment. The aim of the study is to know the mortality and prognostic factors of bacteraemia by P.aeruginosa in our hospital. PATIENTS AND METHODS:We conducted a retrospective study of P.aeruginosa bacteraemia detected between 2009 and 2014. Epidemiological, clinical and microbiological characteristics were described. A risk factor analysis for mortality was performed. RESULTS:We analysed 110 episodes of bacteraemia, which was more frequent in men of advanced age and with a history of hospitalisation, comorbidity and immunosuppression. Most of the bacteraemias were secondary (mainly of respiratory or urinary source) and led to a significant clinical deterioration. The presence of antibiotic resistance was very high, with 27.3% of multiresistant strains. Empirical treatment was adequate in 60.0% and 92.3% for definite treatment. Overall mortality was 37.3% and attributable mortality was 29.1%. The most important prognostic factors were Charlson index ≥3, history of haematologic malignancy, neutropenia and previous use of corticosteroids, source of bacteraemia, Pitt index ≥4, renal insufficiency, adequate definite treatment, empiric treatment with piperacillin/tazobactam in severe episodes and focus control. CONCLUSION:P.aeruginosa bacteraemia is associated with a very high mortality, possibly more related to previous comorbidity and severity of the episode than to the treatment chosen. However, the main goal in management remains to optimise treatment, including focus control.
更多
查看译文
关键词
Pseudomonas aeruginosa,Bacteriemia,Infecciones nosocomiales,Resistencias bacterianas,Mortalidad
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要