天津医药 ›› 2020, Vol. 48 ›› Issue (10): 982-986.doi: 10.11958/20201530

• 临床研究 • 上一篇    下一篇

血小板数量动态变化对脓毒症预后预测价值的初步探讨

宗晓龙1,2,韩悦1,李婉秋3,李浩宇4,魏殿军5,李真玉2,6△   

  1. 1天津医科大学第二医院检验科(邮编300211);2天津市心血管病离子与分子机能重点实验室;3山西医科大学汾阳学院;4中国贵航集团302医院检验科;5河北燕达医院检验科;6天津医科大学第二医院重症医学科
  • 收稿日期:2020-05-28 修回日期:2020-08-10 出版日期:2020-10-15 发布日期:2020-10-30
  • 通讯作者: 李真玉 E-mail:44456773@qq.com
  • 基金资助:
    天津市卫生计生行业高层次人才选拔培养工程“青年医学新锐”人才项目

Preliminary study on the prognostic value of platelet count dynamic changes in sepsis

ZONG Xiao-long1, 2, HAN Yue1, LI Wan-qiu3, LI Hao-yu4, WEI Dian-jun5, LI Zhen-yu2, 6△   

  1. 1 Department of Clinical Laboratory, the Second Hospital of Tianjin Medical University, Tianjin 300211, China; 2 Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease; 3 Fenyang College, Shanxi Medical University; 
    4 Department of Clinical Laboratory, 302 Hospital of China Guizhou Aviation Group; 5 Laboratory of Yanda 
    Hospital of Hebei; 6 Department of Critical Care Medicine, the Second Hospital of Tianjin Medical University
  • Received:2020-05-28 Revised:2020-08-10 Published:2020-10-15 Online:2020-10-30
  • Supported by:
    Tianjin Health and Family Planning Industry under Grant “Young Medical Talents” project;The Second Hospital of Tianjin Medical University Youth Research Project

摘要:

摘要:目的 探讨血小板数量动态变化对脓毒症28 d病死率的预测价值。方法 回顾性研究2018年1月—2019年12月我院重症监护病房(ICU)连续收治的脓毒症患者,采集入ICU后14 d内血小板计数(PLT)动态数据。以第7天PLT较基线降低幅度大于20%为标准定义进行性血小板减少(PTCP),绘制ROC曲线评价PTCP和序贯器官衰竭(SOFA)评分对脓毒症28 d病死率的预测价值。应用Logistic回归分析脓毒症28 d病死率的危险因素。采用Kaplan-Meier法对合并与未合并PTCP患者进行生存分析。结果 148例脓毒症患者纳入研究,死亡组30例,生存组118例,28 d病死率20.3%。与生存组相比,死亡组SOFA评分、高值D-二聚体(hD-dimer)占比、TCP、PTCP发生率显著升高(P<0.01)。入院5 d后死亡组PLT呈进行性下降趋势,第7、10、14天生存组PLT高于死亡组,差异有统计学意义(P<0.01)。PTCP、SOFA以及两者联合预测脓毒症死亡风险的ROC曲线下面积分别为0.683、0.691及0.778。Logistic回归显示,PTCP是脓毒症28 d死亡独立危险因素(P<0.01)。Kaplan-Meier生存分析显示,合并PTCP时28 d生存率明显降低(P<0.01)。结论 PTCP是脓毒症28 d死亡的独立危险因素;PTCP对脓毒症28 d病死率有一定预测价值,联合基线SOFA评分可提高预测效能。

关键词: 脓毒症, 血小板减少, 预后, 器官功能障碍评分, SOFA评分, 进行性血小板减少, 病死率

Abstract:

Abstract: Objective To explore the prognostic value of platelet count dynamic changes in the 28-day mortality of sepsis. Methods The consecutive patients with sepsis hospitalized from January 2018 to December 2019 in our hospital were retrospectively studied. Dynamic data of platelet counts (PLT) within 14 days after ICU admission were collected. Progressive thrombocytopenia (PTCP) was identified as PLT decreasing over 20 percent than the baseline (the day 1) on the day 7. The performance of PTCP and sequential organ failure (SOFA) in predicting the 28-day mortality was evaluated via ROC analysis. The Logistic regression model was constructed to investigate the risk factors for the 28-day mortality of sepsis. The survival status of patients with and without PTCP were compared through Kaplan-Meier survival analysis. Results A total of 148 patients were included in this study, 30 in the non-survival and others in the survival group. The 28-day mortality was 20.3%. In comparison with survival group, the SOFA score, hD-dimer, TCP and PTCP were significantly higher in non-survival group (P<0.01). Five days after admission, PLT showed a tendency of progressive decline in non-survival group. The numbers of PLT were significantly higher on the day 7, 10, and 14 in survival group than those of non-survival group (P<0.01). The area under ROC curves for PTCP, SOFA and their combination in predicting the 28-day mortality of sepsis were 0.683, 0.691 and 0.778, respectively. Logistic regression analysis indicated that PTCP was an independent risk factor for the 28-day mortality of sepsis (P<0.01). Kaplan Meier survival analysis showed that the 28 day survival rate was significantly reduced in patients with PTCP (P<0.01). Conclusion PTCP is an independent risk factor for the 28-day mortality of sepsis. PTCP has a certain predictive value for the 28-day mortality of sepsis, and combined with baseline SOFA score can improve predictive efficiency.

Key words: sepsis, thrombocytopenia, prognosis, organ dysfunction scores, SOFA score, progressive thrombocytopenia, mortality