Identification of factors associated with clinically severe angiostrongyliasis.
Angiostrongyliasis is a globally distributed parasitic disease. Early and accurate identification of patients with severe infection is required. In this retrospective study, 81 patients with angiostrongyliasis were divided into two groups: 24 patients with severe disease and 57 with mild disease. Logistic regression analysis was used to determine the factors associated with severe disease. Receiver operating characteristic (ROC) analysis, κ tests, and χ(2) tests were performed. The factors analyzed included: headache (P = 0.013), abnormal cerebrospinal fluid pressure (P = 0.013), and abnormal peripheral blood eosinophil count (P = 0.007). The area under the ROC curve for the activation criteria for angiostrongyliasis (ACA) was 0.914, with a score of ≥ 7 points predicting a severe state; the κ value was 0.744. The incidence of severe angiostrongyliasis increased with increasing score. ACA is a useful tool with high accuracy and reliability for predicting the severity of angiostrongyliasis.
Beijing Tropical Medicine Research Institute, Beijing Friendship Hospital, Capital Medical University, Beijing, China. diaozongli@yahoo.com.cn
Zongli
Z
Diao
Hongli
H
Xiao
Jing
J
Wang
Haiyu
H
Qi
Xiaoli
X
Li
Chenghong
C
Yin
D000305:Adrenal Cortex Hormones / Q000627:therapeutic use; D006801:Humans; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D012307:Risk Factors; D012680:Sensitivity and Specificity; D017206:Strongylida Infections / Q000145:classification / Q000188:drug therapy / Q000473:pathology
D000305:Adrenal Cortex Hormones