Clinical features and prognostic model for viral encephalitis after allogeneic haematopoietic stem cell transplantation

Author:

Wu Jin1234,He Yu‐Chen1234,Huang Qiu‐Sha1234,He Yun1234,Zhao Peng1234,Chen Qi1234,Zhu Xiao‐Lu1234,Fu Hai‐Xia1234ORCID,Kong Jun1234ORCID,Wang Feng‐Rong1234,Zhang Yuan‐Yuan1234,Mo Xiao‐Dong1234,Yan Chen‐Hua1234,Lv Meng1234,Wang Yu1234ORCID,Xu Lan‐Ping1234,Liu Kai‐Yan1234,Huang Xiao‐Jun1234,Zhang Xiao‐Hui1234ORCID

Affiliation:

1. Peking University People's Hospital Peking University Institute of Haematology Beijing China

2. Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Beijing China

3. Collaborative Innovation Centre of Haematology Peking University Beijing China

4. National Clinical Research Centre for Hematologic Disease Beijing China

Abstract

SummaryThe objective of this study was to identify independent prognostic factors of viral encephalitis (VE) after allogeneic haematopoietic stem cell transplantation (allo‐HSCT) and establish a prognostic model to identify post‐transplant VE patients with a greater likelihood of mortality. Among 5380 patients in our centre from 2014 to 2022, 211 patients who developed VE after allo‐HSCT were reviewed in this retrospective study. Prognostic factors were selected, and a prognostic model was constructed using Cox regression analysis. The model was subsequently validated and estimated using the area under the receiver operating characteristic curve (AUC), a calibration plot and decision curve analysis (DCA). Glasgow Coma Scale score <9, lesions >3 lobes on magnetic resonance imaging and severe thrombocytopenia were identified as independent prognostic risk factors for VE patients who underwent allo‐HSCT. The prognostic model GTM (GTM is an abbreviation for a model composed of three risk factors: GCS score <9, severe thrombocytopenia [platelet count <20 000 per microliter], and lesions >3 lobes on MRI) was established according to the regression coefficients. The validated internal AUC was 0.862 (95% confidence interval [CI], 0.773–0.950), and the external AUC was 0.815 (95% CI, 0.708–0.922), indicating strong discriminatory ability. Furthermore, we constructed calibration plots that demonstrated good consistency between the predicted outcomes and the observed outcomes. DCA exhibited high accuracy in this system, leading to potential benefits for patients.

Funder

Beijing Municipal Natural Science Foundation

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

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