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Dynamic prediction of death in patients with tuberculous meningitis using time-updated Glasgow coma score and plasma sodium measurements.

Thao, Le Thi Phuong, Wolbers, Marcel, Heemskerk, A Dorothee, Thi Hoang Mai, Nguyen, Thi Minh Ha, Dang, Thi Hong Chau, Tran, Hoan Phu, Nguyen, Van Vinh Chau, Nguyen, Caws, Maxine ORCID: https://orcid.org/0000-0002-9109-350X, Huu Lan, Nguyen, Dang Anh Thu, Do, Thuy Thuong Thuong, Nguyen, Day, Jeremy, Torok, M Estee, Duc Bang, Nguyen, Thwaites, Guy E and Geskus, Ronald B (2020) 'Dynamic prediction of death in patients with tuberculous meningitis using time-updated Glasgow coma score and plasma sodium measurements.'. Clinical Infectious Diseases, Vol 70, Issue 5, pp. 827-834.

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Abstract

BACKGROUND
Pre-treatment predictors of death from tuberculous meningitis (TBM) are well-established, but whether outcome can be predicted more accurately after the start of treatment by updated clinical variables is unknown. Hence, we developed and validated models that dynamically predict mortality using time-updated Glasgow coma score (GCS) and plasma sodium measurements, together with patient baseline characteristics.
METHODS
We included 1048 adults from four TBM studies conducted in southern Vietnam from 2004-2016. We used a landmarking approach to predict death within 120 days after treatment initiation using time-updated data during the first 30 days of treatment. Separate models were built for patients with and without human immunodeficiency virus (HIV) infection. We used the area under the receiver operating characteristic curve (AUC) to evaluate performance of the models at day 10, 20 and 30 of treatment to predict mortality by 60, 90 and 120 days. Our internal validation was corrected for over-optimism using bootstrap. We provide a web-based application that computes mortality risk within 120 days.
RESULTS
Higher GCS indicated better prognosis in all patients. In HIV-infected patients, higher plasma sodium was uniformly associated with good prognosis, whereas in HIV-uninfected patients the association was heterogeneous over time. The bias-corrected AUC of the models ranged from 0.82-0.92 in HIV-uninfected, and 0.81-0.85 in HIV-infected individuals. The models outperformed the previously published baseline models.
CONCLUSIONS
Time-updated GCS and plasma sodium measurements improved predictions based solely on information obtained at diagnosis. Our models may be used in practice to define those with poor prognosis during treatment.

Item Type: Article
Subjects: WF Respiratory System > Tuberculosis > WF 200 Tuberculosis (General)
WH Hemic and Lymphatic Systems > Hematologic Diseases. Immunologic Factors. Blood Banks > WH 450 Whole blood. Blood derivatives. Plasma substitutes. Blood expanders
WL Nervous System > WL 200 Meninges. Blood-brain barrier
Faculty: Department: Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI): https://doi.org/10.1093/cid/ciz262
Depositing User: Stacy Murtagh
Date Deposited: 02 May 2019 15:40
Last Modified: 21 Feb 2020 16:05
URI: https://archive.lstmed.ac.uk/id/eprint/10752

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