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Validation of Probability Equation and Decision Tree in Predicting Subsequent Dengue Hemorrhagic Fever in Adult Dengue Inpatients in Singapore

机译:概率方程和决策树在预测新加坡成人登革热患者随后的登革热出血热中的有效性

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摘要

We developed a probability equation and a decision tree from 1,973 predominantly dengue serotype 1 hospitalized adult dengue patients in 2004 to predict progression to dengue hemorrhagic fever (DHF), applied in our clinic since March 2007. The parameters predicting DHF were clinical bleeding, high serum urea, low serum protein, and low lymphocyte proportion. This study validated these in a predominantly dengue serotype 2 cohort in 2007. The 1,017 adult dengue patients admitted to Tan Tock Seng Hospital, Singapore had a median age of 35 years. Of 933 patients without DHF on admission, 131 progressed to DHF. The probability equation predicted DHF with a sensitivity (Sn) of 94%, specificity (Sp) 17%, positive predictive value (PPV) 16%, and negative predictive value (NPV) 94%. The decision tree predicted DHF with a Sn of 99%, Sp 12%, PPV 16%, and NPV 99%. Both tools performed well despite a switch in predominant dengue serotypes.
机译:我们从2007年3月开始在我们的临床中使用2004年的1,973名主要登革热血清型1住院的成人登革热患者建立了概率方程和决策树,以预测进展为登革出血热(DHF)。预测DHF的参数是临床出血,高血清尿素,低血清蛋白和低淋巴细胞比例。这项研究在2007年的一个主要登革热血清型2队列中验证了这些患者。新加坡Tan Tock Seng医院收治的1,017名成人登革热患者的中位年龄为35岁。入院的933例无DHF的患者中,有131例发展为DHF。概率方程式预测DHF的敏感性(Sn)为94%,特异性(Sp)为17%,阳性预测值(PPV)为16%,阴性预测值(NPV)为94%。决策树预测DHF的Sn为99%,Sp为12%,PPV为16%和NPV为99%。尽管登革热血清型改变,两种工具均表现良好。

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