A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease.
A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease.
复制标题
川崎病静脉免疫球蛋白抵抗六种预测模型的疗效比较
DOI:
10.1186/s13052-018-0475-z
复制
发表时间:
2018-03-09
影响因子:
3.6
通讯作者:
Lv H
中科院分区:
文献类型:
--
作者:
Qian W;Tang Y;Yan W;Sun L;Lv H
BackgroundKawasaki disease (KD) is the most common pediatric vasculitis. Several models have been established to predict intravenous immunoglobulin (IVIG) resistance. The present study was aimed to evaluate the efficacy of prediction models using the medical data of KD patients.MethodsWe collected the medical records of patients hospitalized in the Department of Cardiology in Children’s Hospital of Soochow University with a diagnosis of KD from Jan 2015 to Dec 2016. IVIG resistance was defined as recrudescent or persistent fever ≥36 h after the end of their IVIG infusion.ResultsPatients with IVIG resistance tended to be younger, have higher occurrence of rash and changes of extremities. They had higher levels of c-reactive protein, aspartate aminotransferase, neutrophils proportion (N%), total bilirubin and lower level of albumin. Our prediction model had a sensitivity of 0.72 and a specificity of 0.75. Sensitivity of Kobayashi, Egami, Kawamura, Sano and Formosa were 0.72, 0.44, 0.48, 0.20, and 0.68, respectively. Specificity of these models were 0.62, 0.82, 0.66, 0.91, and 0.48, respectively.ConclusionsOur prediction model had a powerful predictive value in this area, followed by Kobayashi model while all the other prediction models had less excellent performances than ours.
登录
查看更多内容
影响因子:
37.8
作者:
Kobayashi, Tohru;Inoue, Yoshinari;Morikawa, Akihiro
通讯作者:
Morikawa, Akihiro
DOI:
10.1084/jem.20151853
发表时间:
2016-09-19
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Stock AT;Hansen JA;Sleeman MA;McKenzie BS;Wicks IP
通讯作者:
Wicks IP
影响因子:
3.7
作者:
Takeshita S;Kanai T;Kawamura Y;Yoshida Y;Nonoyama S
通讯作者:
Nonoyama S
影响因子:
5.1
作者:
Egami, Kimiyasu;Muta, Hiromi;Matsuishi, Toyojiro
通讯作者:
Matsuishi, Toyojiro
影响因子:
8
作者:
Saundankar, Jelena;Yim, Deane;Burgner, David
通讯作者:
Burgner, David