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Prognostic factors predicting a fatal outcome in HIV-negative children with neurotuberculosis

Overview of attention for article published in Arquivos de Neuro-Psiquiatria, October 2010
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Title
Prognostic factors predicting a fatal outcome in HIV-negative children with neurotuberculosis
Published in
Arquivos de Neuro-Psiquiatria, October 2010
DOI 10.1590/s0004-282x2010000500015
Pubmed ID
Authors

Murilo Gimenes Rodrigues, Jaime Lin, Marcelo Rodrigues Masruha, Luiz Celso Pereira Vilanova, Thais Soares Cianciarullo Minett

Abstract

To identify prognostic factors predicting a fatal outcome in HIV-negative children with neurotuberculosis based on clinical, epidemiological, and laboratory findings. The clinical records of all in-patients diagnosed with neurotuberculosis from 1982 to 2005 were evaluated retrospectively. The following prognostic parameters were examined: gender, age, close contact with a tuberculosis-infected individual, vaccination for bacillus Calmette-Guérin, purified protein derivative (PPD) of tuberculin results, concomitant miliary tuberculosis, seizures, CSF results, and hydrocephalus. One hundred forty-one patients diagnosed with neurotuberculosis were included. Seventeen percent of the cases resulted in death. The factors that were correlated with a negative outcome included lack of contact with a tuberculosis-infected individual, negative PPD reaction, coma, and longer hospitalisation time. A multiple logistic regression analysis was performed to identify which of these factors most often resulted in death. Coma at diagnosis, lack of tuberculosis contact, and a non-reactive PPD were the most important predictors of fatality in patients with neurotuberculosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 27%
Student > Doctoral Student 7 13%
Student > Master 7 13%
Researcher 5 10%
Student > Ph. D. Student 5 10%
Other 8 15%
Unknown 6 12%
Readers by discipline Count As %
Medicine and Dentistry 23 44%
Nursing and Health Professions 7 13%
Biochemistry, Genetics and Molecular Biology 4 8%
Agricultural and Biological Sciences 2 4%
Immunology and Microbiology 2 4%
Other 5 10%
Unknown 9 17%