红细胞分布宽度对重症监护病房内重症感染患者院内死亡预测价值分析
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摘要
目的:探讨红细胞分布宽度在预测重症监护病房内重症感染患者院内死亡中的应用价值。方法:选取我院重症感染患者为研究对象,分析RDW对重症监护病房内重症感染患者死亡的预测价值。结果:观察组PCT、RDW、CRP、APACHEⅡ评分、SPFA评分显著高于对照组,且死亡患者的上述指标显著高于存活组(P<0.05);Logistic回归分析发现PCT、RDW、CRP、APACHEⅡ评分、SPFA评分均是重症监护病房内重症感染患者的死亡的独立危险因素(P<0.05)。RDW对患者28 d死亡的预测效能高于PCT、CRP、APACHEⅡ评分、SPFA评分(P<0.05)。结论:红细胞分布宽度能够预测重症监护病房内重症感染患者的病情程度、预后情况及院内死亡风险。
Objective: To investigate the appliction values of red cell distribution width(RDW)for in-hospital mortality of patients with severe infection in ICU. Methods: Patients with severe infection in our hospital were selected as the subjects, to analyze the predictive value of RDW for the death of patients with severe infection in ICU. Results: The PCT, RDW, CRP, APACHEⅡ and SPFA scores of the observation group were significantly higher than those of the control group, and the above indexes of the dead patients were significantly higher than those of the survival group(P<0.05). Logistic regression analysis showed that PCT, RDW, CRP, APACHEⅡ and SPFA scores were the independent risk factors for the death of patients with severe infections in ICU(P<0.05). RDW was more effective than PCT, CRP, APACHEⅡ and SPFA scores in predicting the mortality within 28 days(P<0.05). Conclusion: RDW can predict the severity, prognosis and hospital mortality risk of patients with severe infections in ICU.
Objective: To investigate the appliction values of red cell distribution width(RDW)for in-hospital mortality of patients with severe infection in ICU. Methods: Patients with severe infection in our hospital were selected as the subjects, to analyze the predictive value of RDW for the death of patients with severe infection in ICU. Results: The PCT, RDW, CRP, APACHEⅡ and SPFA scores of the observation group were significantly higher than those of the control group, and the above indexes of the dead patients were significantly higher than those of the survival group(P<0.05). Logistic regression analysis showed that PCT, RDW, CRP, APACHEⅡ and SPFA scores were the independent risk factors for the death of patients with severe infections in ICU(P<0.05). RDW was more effective than PCT, CRP, APACHEⅡ and SPFA scores in predicting the mortality within 28 days(P<0.05). Conclusion: RDW can predict the severity, prognosis and hospital mortality risk of patients with severe infections in ICU.
引文
[1] 荚恒敏,杨凯,张亮.红细胞分布宽度对感染患者预后的评估价值[J].中国感染与化疗杂志,2018,18(1):18-21.
[2] 李少玲,董滨,肖成贤.红细胞分布宽度在急危重症患者预测死亡风险中的应用[J].中国实用医药,2017,12(24):81-82.
[3] 高萍,张芳芳,尚丽娟.红细胞分布宽度对老年急诊重症肺炎病人死亡风险的预测价值[J].实用老年医学,2017,31(2):164-167.
[4] 吴振江,吉庆春.红细胞分布宽度对食管癌预后的影响[J].华夏医学,2016,29(6):10-12.
[5] 王蔚,周愚,周丽,等.红细胞分布宽度变化对ICU医院感染患者预后的影响[J].实用医学杂志,2016,32(17):2875-2878.
[6] 常丽丽,巩义春,曹留霞,等.红细胞分布宽度与ICU院内感染的相关性研究[J].现代生物医学进展,2015,15(5):915-917,932.
[7] 蔡宗群,郭舜奇,郭旭武.红细胞体积分布宽度与住院死亡风险的关系[J].中国现代医学杂志,2015,25(1):89-92.
[2] 李少玲,董滨,肖成贤.红细胞分布宽度在急危重症患者预测死亡风险中的应用[J].中国实用医药,2017,12(24):81-82.
[3] 高萍,张芳芳,尚丽娟.红细胞分布宽度对老年急诊重症肺炎病人死亡风险的预测价值[J].实用老年医学,2017,31(2):164-167.
[4] 吴振江,吉庆春.红细胞分布宽度对食管癌预后的影响[J].华夏医学,2016,29(6):10-12.
[5] 王蔚,周愚,周丽,等.红细胞分布宽度变化对ICU医院感染患者预后的影响[J].实用医学杂志,2016,32(17):2875-2878.
[6] 常丽丽,巩义春,曹留霞,等.红细胞分布宽度与ICU院内感染的相关性研究[J].现代生物医学进展,2015,15(5):915-917,932.
[7] 蔡宗群,郭舜奇,郭旭武.红细胞体积分布宽度与住院死亡风险的关系[J].中国现代医学杂志,2015,25(1):89-92.