舟山地区登革热患者病程转归的临床评估模型建立  

Establishment of clinical evaluation model for the course outcome of patients with Dengue fever in Zhoushan area

作　　者：张浙恩 王晔恺 王艳 ZHANG Zhe-en;WANG Ye-kai;WANG Yan(Infectious Disease Department,Zhoushan Hospital,Zhejiang 316021,China;不详)

机构地区：[1]舟山医院感染性疾病科,浙江316021 [2]舟山医院检验科

出　　处：《中国卫生检验杂志》2023年第5期561-563,共3页Chinese Journal of Health Laboratory Technology

基　　金：舟山市科技局科技计划项目(2019C31104)。

摘　　要：目的 建立本地区登革热患者的临床病程转归评估模型。方法 选取2017年5月—2022年6月在舟山地区各医院确诊为登革热的患者共18例,检测患者血常规、生化酶谱及凝血功能,logistic回归筛选患者病程>15 d的风险因素,并用R程序中的rms包生成预测列线图。结果 多因素logistic回归筛选得到最高体温(OR=2.654,P<0.05)、谷草转氨酶最高值(OR=1.029,P<0.01)、肌酸激酶最高值(OR=1.015,P<0.05)、乳酸脱氢酶最高值(OR=1.007,P<0.05)是登革热病程>15 d的4项独立风险因子,并建立得到列线图。结论 本地区登革热临床病程转归评估模型有助于临床的诊疗评估。Objective This paper aims to establish a clinical evaluation model for the course outcome in patients with Dengue fever in this area. Methods From May 2017 to June 2022, 18 patients with Dengue fever were collected from hospitals in Zhoushan area. The blood routine, biochemical enzyme profile and coagulation function of the patients were detected, and the risk factors of patients with disease course >15 d were screened by logistic regression. The rms package in the R program was used to generate the prediction column chart. Results Multivariable logistic regression model showed that the highest temperature(OR=2.654, P<0.05), AST-Highest(OR=1.029, P<0.01), CK-Highest(OR=1.015, P<0.05), LDH-Highest(OR=1.007, P<0.05) were independent risk factors of Dengue fever course >15 d. And a Nomogram was established. Conclusion The evaluation model of course outcome established in this paper can help the clinical diagnosis and evaluation of Dengue fever.

关 键 词：登革热 列线图 病程转归 

分 类 号：R512.8[医药卫生—内科学]