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首页> 外文期刊>Clinical and diagnostic laboratory immunology >Evaluation of a Diagnostic Algorithm Using Immunoglobulin M Enzyme-Linked Immunosorbent Assay To Differentiate Human West Nile Virus and St. Louis Encephalitis Virus Infections during the 2002 West Nile Virus Epidemic in the United States
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Evaluation of a Diagnostic Algorithm Using Immunoglobulin M Enzyme-Linked Immunosorbent Assay To Differentiate Human West Nile Virus and St. Louis Encephalitis Virus Infections during the 2002 West Nile Virus Epidemic in the United States

机译：在2002年美国西尼罗河病毒流行期间，使用免疫球蛋白M酶联免疫吸附测定区分人西尼罗河病毒和圣路易斯脑炎病毒感染的诊断算法的评估

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A diagnostic algorithm was developed to differentiate between human infections of West Nile virus (WNV) and St. Louis encephalitis virus (SLEV) using positive-to-negative (P/N) ratios derived from the immunoglobulin M capture enzyme-linked immunosorbent assay (MAC-ELISA). To validate this algorithm, we tested 1,418 serum and cerebrospinal fluid (CSF) samples from confirmed WNV and SLEV infections collected during the WNV epidemic of 2002 in the United States. WNV P/N-to-SLEV P/N ratios (W/S ratios) were calculated and used to identify the infecting virus. These results were compared to results from the plaque reduction neutralization test (PRNT), which is currently the standard assay used to discriminate between closely related flavivirus infections. If the W/S ratio was ≥1, the predictive value positive (PNP) for WNV was 97.8%, where 95% of flavivirus cases were due to WNV infection and only 3.7% of specimens would require PRNT to differentiate WNV from SLEV infection. Use of the W/S ratio as part of the testing algorithm to interpret MAC-ELISA results generates reportable probable cases quickly, alleviating the need for PRNT in most instances.
机译：开发了一种诊断算法，以使用免疫球蛋白M捕获酶联免疫吸附测定法得出的正负（P / N）比值来区分人类感染的西尼罗河病毒（WNV）和圣路易斯脑炎病毒（SLEV）（ MAC-ELISA）。为了验证该算法，我们在2002年WNV流行期间从美国确认的WNV和SLEV感染中检测了1,418份血清和脑脊液（CSF）样本。计算WNV P / N与SLEV的P / N比（W / S比），并将其用于识别感染病毒。将这些结果与噬斑减少中和试验（PRNT）的结果进行了比较，该试验是目前用于区分密切相关的黄病毒感染的标准检测方法。如果W / S比率≥1，则WNV的预测值阳性（PNP）为97.8％，其中95％的黄病毒病例归因于WNV感染，只有3.7％的标本需要PRNT才能将WNV与SLEV感染区分开。使用W / S比率作为测试算法的一部分来解释MAC-ELISA结果会迅速产生可报告的可能病例，从而在大多数情况下减少了对PRNT的需求。

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