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严重急性呼吸综合征临床诊断病例和疑似病例相关特征的比较(英文)

Comparison of features between clinically diagnosed cases and suspected cases of severe acute respiratory syndrome
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摘要 目的 :分析 SARS临床诊断病例和疑似病例的流行病学特征和临床特征及其相关性 ,评价流行期间 SARS的早期诊断工作。方法 :对 2 0 0 3年 3月 1 5日到 5月 1 4日某地 SARS临床诊断病例 (1 5 5 0例 )和疑似病例 (790例 )的相关特征进行描述和对比 ,通过分析存在的异同以及可能的原因来评价 SARS早期诊断情况。 结果 :90 %左右的病例在发病后 6 d内做了诊断。临床诊断病例和疑似病例在发病时间 (r=0 .94 1 )、地区分布 (r=0 .793)及年龄 (r=0 .96 1 )和职业构成 (r=0 .937)等方面存在显著的相关关系 ;同样情况也见于临床症状 (r=0 .996 )、白细胞 (正常时 r=0 .72 3,降低时 r=0 .86 3)及淋巴细胞 (正常时r= 0 .772 )等指标。 结论 :SARS临床诊断病例和疑似病例在多数特征上存在相似性 。 Objective:To obtain data for early diagnosis of severe acute respiratory syndrome (SARS) by analyzing epidemiological and clinical features of clinically diagnosed cases and suspected cases.Methods:Descriptive and comparative analyses were conducted on the features of clinically diagnosed cases( n =1 550) and suspected cases( n =790) of SARS between Mar.15, 2003 and May 14, 2003.The differences between the clinically diagnosed cases and the suspected cases were extensively investigated to evaluate parameters for early diagnosis of SARS.Results:About 90% of the total cases had been diagnosed within 6 d.The correlations between the clinically diagnosed cases and suspected cases were detected with regard to onset time( r =0.941), place of occurrence ( r =0.793), age of illness ( r = 0.961), patient occupation ( r =0.937), symptoms ( r =0.996), normal white blood cell( r =0.723), decreased white blood cell ( r =0.863) and normal lymphocytes ( r = 0.772). Conclusion:There are strong similarities in most epidemiological and clinical features between clinically diagnosed cases and suspected cases of SARS.It is necessary to develop specific parameters for the early diagnosis of SARS.
出处 《第二军医大学学报》 CAS CSCD 北大核心 2004年第3期238-241,共4页 Academic Journal of Second Military Medical University
基金 This work is supported by PLA Planning Program(0 3F0 0 1 - 5) and the National Natural Science Foundation of China(70 340 0 1 5)
关键词 严重急性呼吸综合征 诊断 疑似病例 相关特征 流行病学 severe acute respiratory syndrome epidemiology clinical features diagnosis
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