中华急诊医学杂志
中華急診醫學雜誌
중화급진의학잡지
CHINESE JOURNAL OF EMERGENCY MEDICINE
2014年
5期
491-495
,共5页
包龙%徐峰%丁礼%凌伟华%陈都
包龍%徐峰%丁禮%凌偉華%陳都
포룡%서봉%정례%릉위화%진도
创伤性颅脑损伤%热负荷%预后%危险因素
創傷性顱腦損傷%熱負荷%預後%危險因素
창상성로뇌손상%열부하%예후%위험인소
Traumatic brain injury%Fever burden%Prognosis%Risk factor
目的 研究热负荷在预测创伤性颅脑损伤(TBI)患者预后中的临床价值.方法 回顾性收集苏州大学附属第一医院急诊病房及重症监护室2010年11月至2012年10月收治的创伤性颅脑损伤患者共355例,格拉斯哥昏迷评分(GCS)≤14分,随访伤后6个月的格拉斯哥结局评分(GOS).根据患者伤后6个月GOS评分将其分为两组:4~5分为预后良好组,1~3分为预后不良组,对相关临床指标进行统计描述、Logistic回归分析、Spearman相关分析及ROC曲线分析.结果 GOS从5分到2分,患者的热负荷水平呈现持续升高表现,1分组热负荷水平反而明显下降.两组患者在平均年龄、瞳孔反应、GCS评分以及热负荷差异具有统计学意义(P<0.05).预后不良组与预后良好组比较表现为平均年龄大(P=0.000)、瞳孔反应差(P=0.000)、GCS低(P=0.000)、热负荷水平高(P=0.000).单变量Logistic回归分析同样提示:年龄、GCS、瞳孔反应、热负荷与患者预后不良有关(P =0.000),其中热负荷的OR值为1.166(95% CI:1.117~1.217).进一步将热负荷与年龄、GCS、瞳孔反应三个预后不良的独立预测因素纳入多变量Logistic 回归模型,得到热负荷调整后的OR值为1.098(95% CI:1.031~1.169,P=0.003).ROC曲线分析得到热负荷对应的AUC=0.713 (95% CI:0.663~0.760).相关分析显示热负荷与GOS评分之间呈现负相关,(r=-0.376,95%CI:-0.462~-0.283,P=0.000).结论 热负荷可以作为TBI患者预后不良的独立预测因素,TBI患者发病早期高水平热负荷将增加预后不良风险.
目的 研究熱負荷在預測創傷性顱腦損傷(TBI)患者預後中的臨床價值.方法 迴顧性收集囌州大學附屬第一醫院急診病房及重癥鑑護室2010年11月至2012年10月收治的創傷性顱腦損傷患者共355例,格拉斯哥昏迷評分(GCS)≤14分,隨訪傷後6箇月的格拉斯哥結跼評分(GOS).根據患者傷後6箇月GOS評分將其分為兩組:4~5分為預後良好組,1~3分為預後不良組,對相關臨床指標進行統計描述、Logistic迴歸分析、Spearman相關分析及ROC麯線分析.結果 GOS從5分到2分,患者的熱負荷水平呈現持續升高錶現,1分組熱負荷水平反而明顯下降.兩組患者在平均年齡、瞳孔反應、GCS評分以及熱負荷差異具有統計學意義(P<0.05).預後不良組與預後良好組比較錶現為平均年齡大(P=0.000)、瞳孔反應差(P=0.000)、GCS低(P=0.000)、熱負荷水平高(P=0.000).單變量Logistic迴歸分析同樣提示:年齡、GCS、瞳孔反應、熱負荷與患者預後不良有關(P =0.000),其中熱負荷的OR值為1.166(95% CI:1.117~1.217).進一步將熱負荷與年齡、GCS、瞳孔反應三箇預後不良的獨立預測因素納入多變量Logistic 迴歸模型,得到熱負荷調整後的OR值為1.098(95% CI:1.031~1.169,P=0.003).ROC麯線分析得到熱負荷對應的AUC=0.713 (95% CI:0.663~0.760).相關分析顯示熱負荷與GOS評分之間呈現負相關,(r=-0.376,95%CI:-0.462~-0.283,P=0.000).結論 熱負荷可以作為TBI患者預後不良的獨立預測因素,TBI患者髮病早期高水平熱負荷將增加預後不良風險.
목적 연구열부하재예측창상성로뇌손상(TBI)환자예후중적림상개치.방법 회고성수집소주대학부속제일의원급진병방급중증감호실2010년11월지2012년10월수치적창상성로뇌손상환자공355례,격랍사가혼미평분(GCS)≤14분,수방상후6개월적격랍사가결국평분(GOS).근거환자상후6개월GOS평분장기분위량조:4~5분위예후량호조,1~3분위예후불량조,대상관림상지표진행통계묘술、Logistic회귀분석、Spearman상관분석급ROC곡선분석.결과 GOS종5분도2분,환자적열부하수평정현지속승고표현,1분조열부하수평반이명현하강.량조환자재평균년령、동공반응、GCS평분이급열부하차이구유통계학의의(P<0.05).예후불량조여예후량호조비교표현위평균년령대(P=0.000)、동공반응차(P=0.000)、GCS저(P=0.000)、열부하수평고(P=0.000).단변량Logistic회귀분석동양제시:년령、GCS、동공반응、열부하여환자예후불량유관(P =0.000),기중열부하적OR치위1.166(95% CI:1.117~1.217).진일보장열부하여년령、GCS、동공반응삼개예후불량적독립예측인소납입다변량Logistic 회귀모형,득도열부하조정후적OR치위1.098(95% CI:1.031~1.169,P=0.003).ROC곡선분석득도열부하대응적AUC=0.713 (95% CI:0.663~0.760).상관분석현시열부하여GOS평분지간정현부상관,(r=-0.376,95%CI:-0.462~-0.283,P=0.000).결론 열부하가이작위TBI환자예후불량적독립예측인소,TBI환자발병조기고수평열부하장증가예후불량풍험.
Objective To investigate the prognostic value of fever burden in traumatic brain injury (TBI) patients.Methods A retrospective analysis of 355 TBI patients admitted to the emergency department and intensive care unit from November 2010 to October 2012 was performed,and the Glasgow outcome scale (GOS) was followed-up 6 months after the injury.The patients were divided into two groups according to the GOS:good outcome group (4 to 5) and poor outcome group (1 to 3).Relevant clinical findings were studied by statistical description,logistic regression analysis,Spearman correlation analysis and ROC curve analysis.Results Fever burden level was continuously increased with the decrease of GOS from score 5 to 2,except for score 1 of GOS,which was corresponding to a significant lower fever burden.There were significant differences in age,pupil reactivity,Glasgow coma scale (GCS) and fever burden between two groups (P < 0.05).Compared to the good outcome group,the poor outcome group was featured with more advanced average age (P =0.000),poorer pupil reactivity (P =0.000),lower GCS score (P =0.000) and higher fever burden level (P =0.000).Univariate logistic regression analysis suggested that age,GCS,pupil reactivity and fever burden level (OR 1.166,95% CI:1.117-1.217) were associatedwith poor outcome.The fever burden level and the other independent prognostic predictors as age,GCS and pupil reactivity were further included in the multivariate logistic regression model,and the adjusted OR of fever burden level was 1.098 (95% CI:1.031-1.169,P =0.003).ROC curve analysis showed the respective AUC for fever burden was 0.713 (95% CI:0.663-0.760).The relevant analysis revealed a significant negative correlation between the fever burden and the GOS score (r =-0.376,95% CI:-0.462--0.283,P =0.000).Conclusions Fever burden can be considered as an independent predictor of poor outcome of patients with TBI.The TBI patients with early onset of high levels of fever burden will have increased poor outcome risk.