文章摘要
李友邕周碧燕卢雁英潘永江裴政玲.尿蛋白定性与ICU 危重患者预后的相关性研究[J].,2012,12(4):693-695
尿蛋白定性与ICU 危重患者预后的相关性研究
The Research of Correlation between Qualitative Urine Protein and Prognosisof Critically Ill Patients in ICU
  
DOI:
中文关键词: 尿蛋白定性;多器官功能衰竭  肾功能不全  危重症
英文关键词: Qualitative urinary protein  Multiple organ failure  Renal insufficiency  Critically ill patients
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作者单位
李友邕周碧燕卢雁英潘永江裴政玲 广西南宁市第一人民医院 
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中文摘要:
      目的:探讨尿蛋白定性结果在ICU 危重症患者病情和预后的预测价值。方法:对2008 年1 月~2011 年5 月我院ICU 收治的 190 例患者,按照尿蛋白定性分为尿蛋白阴性组和尿蛋白定性阳性组,分别比较两组患者的肾功能不全、多器官功能衰竭、病死率 及APACHE II 评分,并进一步分析尿蛋白含量与上述指标的关系。结果:190 例患者尿蛋白定性为阳性的为124 例患者,阴性的 66 例患者,经过比较发现ARF 发生率、MODS 发生率、病死率,APACHE II 评分,阳性组患者均明显高于阴性组患者,差异有显著 的统计学意义(P<0.01);并且经过比较发现ARF 发生率、MODS 发生率、病死率,APACHE II 评分不同组尿蛋白阳性组之间差异 有显著的统计学意义(P<0.01),随着尿蛋白+ 的增加,ARF 发生率、MODS 发生率、病死率、APACHE II 评分逐渐增加。结论:尿蛋 白定性能很好的预测ICU 危重患者肾功能不全、多器官功能衰竭和死亡的发生,反应患者病情的严重程度。
英文摘要:
      Objective: To investigate the prognostic value of qualitative results of urine protein for critically ill ICU patient's condition and prognosis. Methods: Retrospectively analysised 190 patients in ICU from January 2008 to May 2011, divided into protein urine protein-negative group and the positive group. Two groups were respectively compared renal insufficiency, multiple organ failure, mortality and APACHE II score, and further analysis of urine protein content and the relationship between these indicators. Results: 190 patients were defined as positive urine protein of 124 patients, 66 patients were negative, found that positive patients were significantly higher than negative patients in the incidence of ARF, MODS, mortality, APACHE II score, the difference were statistically significant (P<0.01). And by comparison found that the incidence of ARF, MODS incidence, mortality, APACHE II score of different groups of urinary protein were significantly different in the statistical significance (P <0.01 ), with the increase in urine protein +, ARF incidence and MODS incidence, mortality,APACHE II score increased gradually. Conclusion: Qualitative urinary protein is a good performance prediction in critically ill ICU patients with renal failure, multiple organ failure and mortality, response to the severity of the patient's condition.
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