Predicting asymptomatic neurosyphilis using peripheral blood indicators
Abstract Background The high misdiagnosis rate of asymptomatic neurosyphilis (ANS) has long challenged infectious disease clinicians. We aim to develop a model for diagnosing ANS in asymptomatic syphilis (AS) patients without CSF indicators. Results 277 AS patients with HIV-negative and underwent lu...
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oai:doaj.org-article:a867fbd0259a4730ada528879ee219ab2021-11-28T12:41:56ZPredicting asymptomatic neurosyphilis using peripheral blood indicators10.1186/s12879-021-06846-61471-2334https://doaj.org/article/a867fbd0259a4730ada528879ee219ab2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12879-021-06846-6https://doaj.org/toc/1471-2334Abstract Background The high misdiagnosis rate of asymptomatic neurosyphilis (ANS) has long challenged infectious disease clinicians. We aim to develop a model for diagnosing ANS in asymptomatic syphilis (AS) patients without CSF indicators. Results 277 AS patients with HIV-negative and underwent lumbar puncture were enrolled in this horizontal study.The area under the curve for predicting ANS by CSF leukocytes and protein was 0.643 and 0.675 [95% CI, 0.583–0.699VS.0.616–0.729]. Through LRM, the AUC increased to 0.806 [95% CI, 0.732–0.832], and the Youden's index was 0.430. If the score is ≤ 0.159, ANS can be excluded with a predictive value of 92.9%; we can identify ANS while the score is over 0.819, with a predictive value of 91.7% and a specificity of 99.25%. This study showed that the LRM can diagnose ANS in AS patients effectively. Conclusion Given a large number of misdiagnosis ANS patients and CSF results' insufficiency, the model is more practical. Our research will help clinicians track suspected syphilis, especially those who cannot accept the CSF test.Weijie LiJiaqi HanPan ZhaoDagang WangTianhao SunJie GuoYanqun HePei QuYing LiuCongle ShenYajie WangBMCarticleAsymptomatic neurosyphilisNeurosyphilisLumbar punctureCerebrospinal fluidLogistic regression modelInfectious and parasitic diseasesRC109-216ENBMC Infectious Diseases, Vol 21, Iss 1, Pp 1-8 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Asymptomatic neurosyphilis Neurosyphilis Lumbar puncture Cerebrospinal fluid Logistic regression model Infectious and parasitic diseases RC109-216 |
| spellingShingle |
Asymptomatic neurosyphilis Neurosyphilis Lumbar puncture Cerebrospinal fluid Logistic regression model Infectious and parasitic diseases RC109-216 Weijie Li Jiaqi Han Pan Zhao Dagang Wang Tianhao Sun Jie Guo Yanqun He Pei Qu Ying Liu Congle Shen Yajie Wang Predicting asymptomatic neurosyphilis using peripheral blood indicators |
| description |
Abstract Background The high misdiagnosis rate of asymptomatic neurosyphilis (ANS) has long challenged infectious disease clinicians. We aim to develop a model for diagnosing ANS in asymptomatic syphilis (AS) patients without CSF indicators. Results 277 AS patients with HIV-negative and underwent lumbar puncture were enrolled in this horizontal study.The area under the curve for predicting ANS by CSF leukocytes and protein was 0.643 and 0.675 [95% CI, 0.583–0.699VS.0.616–0.729]. Through LRM, the AUC increased to 0.806 [95% CI, 0.732–0.832], and the Youden's index was 0.430. If the score is ≤ 0.159, ANS can be excluded with a predictive value of 92.9%; we can identify ANS while the score is over 0.819, with a predictive value of 91.7% and a specificity of 99.25%. This study showed that the LRM can diagnose ANS in AS patients effectively. Conclusion Given a large number of misdiagnosis ANS patients and CSF results' insufficiency, the model is more practical. Our research will help clinicians track suspected syphilis, especially those who cannot accept the CSF test. |
| format |
article |
| author |
Weijie Li Jiaqi Han Pan Zhao Dagang Wang Tianhao Sun Jie Guo Yanqun He Pei Qu Ying Liu Congle Shen Yajie Wang |
| author_facet |
Weijie Li Jiaqi Han Pan Zhao Dagang Wang Tianhao Sun Jie Guo Yanqun He Pei Qu Ying Liu Congle Shen Yajie Wang |
| author_sort |
Weijie Li |
| title |
Predicting asymptomatic neurosyphilis using peripheral blood indicators |
| title_short |
Predicting asymptomatic neurosyphilis using peripheral blood indicators |
| title_full |
Predicting asymptomatic neurosyphilis using peripheral blood indicators |
| title_fullStr |
Predicting asymptomatic neurosyphilis using peripheral blood indicators |
| title_full_unstemmed |
Predicting asymptomatic neurosyphilis using peripheral blood indicators |
| title_sort |
predicting asymptomatic neurosyphilis using peripheral blood indicators |
| publisher |
BMC |
| publishDate |
2021 |
| url |
https://doaj.org/article/a867fbd0259a4730ada528879ee219ab |
| work_keys_str_mv |
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1718407850826399744 |