Abstract |
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.
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Authors | Zongli Diao, Hongli Xiao, Jing Wang, Haiyu Qi, Xiaoli Li, Chenghong Yin |
Journal | The American journal of tropical medicine and hygiene
(Am J Trop Med Hyg)
Vol. 83
Issue 6
Pg. 1352-5
(Dec 2010)
ISSN: 1476-1645 [Electronic] United States |
PMID | 21118948
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Adrenal Cortex Hormones
(therapeutic use)
- Humans
- Predictive Value of Tests
- Retrospective Studies
- Risk Factors
- Sensitivity and Specificity
- Strongylida Infections
(classification, drug therapy, pathology)
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