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Development of a risk scoring system for prognostication in HIV-related toxoplasma encephalitis.


ABSTRACT: Background: This study aims to evaluate specific risk factors influencing prognosis of HIV-infected patients with toxoplasma encephalitis (TE) in order to develop a prognostic risk scoring system for them.

Methods: This is a six-center retrospective study of hospitalized HIV/TE patients. Data including six-week mortality after diagnosis, baseline characteristics, clinical features, laboratory tests and radiological characteristics of eligible patients were assimilated for risk model establishing.

Results: In this study, the six-week mortality among 94 retrospective cases was 11.7% (11/94). Seven specific risk factors, viz. time from symptom onset to presentation, fever, dizziness, CD4+ T-cell counts, memory deficits, patchy brain lesions, and disorders of consciousness were calculated to be statistically associated with mortality. A criterion value of '9' was selected as the optimal cut-off value of the established model. The AUC of the ROC curve of this scoring model was 0.976 (p?
Conclusions: The developed scoring system was established with simple risk factors, which also allows expeditious implementation of accurate prognostication, and appropriate therapeutic interventions in HIV-infected patients with TE.

SUBMITTER: Li Y 

PROVIDER: S-EPMC7716502 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Development of a risk scoring system for prognostication in HIV-related toxoplasma encephalitis.

Li Yao Y   Zeng Yan-Ming YM   Liu Min M   Lu Yan-Qiu YQ   Liu Xue-Yan XY   Zhang Yu-Lin YL   Jiang Zhong-Sheng ZS   Yang Tong-Tong TT   Sun Yan Y   Lan Ke K   Chen Yao-Kai YK  

BMC infectious diseases 20201204 1


<h4>Background</h4>This study aims to evaluate specific risk factors influencing prognosis of HIV-infected patients with toxoplasma encephalitis (TE) in order to develop a prognostic risk scoring system for them.<h4>Methods</h4>This is a six-center retrospective study of hospitalized HIV/TE patients. Data including six-week mortality after diagnosis, baseline characteristics, clinical features, laboratory tests and radiological characteristics of eligible patients were assimilated for risk model  ...[more]

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