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頁籤選單縮合
題名 | A Model for Predicting Risk of Serious Bacterial Infection in Febrile Infants Younger Than 3 Months of Age=建構一個模型來預測發燒嬰兒是否有嚴重的細菌性感染 |
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作者姓名(中文) | 陳俊仁; 羅玉芳; 洪妙秋; 鐘瑞隆; 湯仁彬; 吳克恭; | 書刊名 | Journal of the Chinese Medical Association |
卷期 | 72:10 2009.10[民98.10] |
頁次 | 頁521-526+CA98 |
分類號 | 417.5103 |
關鍵詞 | C反應蛋白; 發燒的嬰兒; 新生兒敗血症; 危險因子; 嚴重的細菌性感染; CPR; C-reactive protein; Febrile infants; Neonatal sepsis; Risk factors; Serious bacterial infection; |
語文 | 英文(English) |
英文摘要 | Background: The objective of this study was to construct a model for predicting the risk of serious bacterial infection (SBI) in febrile infants. Methods: A total of 135 febrile infants younger than 3 months of age who met the inclusion criteria were assessed on the following: physical appearance, complete blood count, serum C-reactive protein (CRP), urinalysis, stool smears for white blood cell (WBC) count if diarrhea was apparent, and blood and urine cultures. Chest X-rays were performed if respiratory symptoms were evident. Cerebrospinal fluid was analyzed if central nervous system infection was suspected. Results: Of the 135 infants, 34 were diagnosed with SBI. Data from 99 infants were used to construct a model for predicting SBI by multivariate logistic regression. Sex (male), spun urine WBC count (≥ 10 per high-powered field [400×]) and CRP (≥ 3.6 mg/L) were significantly related to SBI. A probability cut-off of 0.265 was selected, where values below and above the cut-off reflected low and high SBI risk respectively. Data from the remaining 36 infants were used to test model validity. Both sensitivity and specificity were 77.8% for predicting SBI using this model. Conclusion: These findings suggest that sex, serum CRP concentration and spun urine WBC count can be used to accurately predict SBI in febrile infants aged less than 3 months of age. |
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