ArticleOpen forum infectious diseases2020
Predicting Inpatient Mortality Among Encephalitis Patients: A Novel Admission Risk Score.
Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Development of a risk score to predict encephalitis by Herpes Simplex Virus and Varicella Zoster Virus.Journal of neurovirology · 2026Observational
- Vital Prognosis and Causes of Death in Adults with Encephalitis.Neurocritical care · 2026Article
- Factors Predicting the Outcome in Patients With Acute Encephalitis Syndrome: A Retrospective Analysis of Surveillance Data in Bangladesh.Neurology research international · 2026Article
- Psychiatric and behavioural sequelae following encephalitis: a systematic review and meta-analysis.Brain communications · 2026Review
- Secular Trends in the Incidence of Encephalitis and Outcomes of Postencephalitic Epilepsy in Taiwan: A Nationwide Population-Based Study.Neuroepidemiology · 2026Article
- Clinical Description and Acute Outcomes of Cryptogenic Encephalitis in the Intensive Care Unit.Neurocritical care · 2025Article
- Development and Validation of a Risk Score for Predicting ICU Admission in Adults with New-Onset Encephalitis.Neurocritical care · 2025Article
- SIV-specific antibodies protect against inflammasome-driven encephalitis in untreated macaques.Cell reports · 2024Article
- Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentifying underlying commonalities among all-cause encephalitis cases can be extraordinarily useful in predicting meaningful risk factors associated with inpatient mortality.
methodsA retrospective cohort of patients with encephalitis was derived from a clinical chart review of adult patients (age ≥18 years) across 16 different hospitals in Houston, Texas, between January 2005 and July 2015. Clinical features at admission were assessed for their correlation with inpatient mortality and used to derive a final risk score prediction tool.
resultsThe study included a total of 273 adult patients with all-cause encephalitis, 27 (9.9%) of whom died during hospitalization. A limited number of clinical features were substantially different between patients who survived and those who died (Charlson score, Glasgow coma scale [GCS], immunosuppression, fever on admission, multiple serologic studies, and abnormal imaging). A final multivariable logistic model was derived with the following risk factors, which were transformed into a scoring system: 1 point was assigned to the presence of a Charlson score >2, thrombocytopenia, or cerebral edema, and 2 points for a GCS value <8. Patients were then classified into different risk groups for inpatient mortality: 0 points (0%), 1 point (7%), 2 points (10.9%), 3 points (36.8%), and ≥4 points (81.8%).
conclusionsThe risk score developed from this study shows a high predictive value. This can be highly beneficial in alerting care providers to key clinical risk factors associated with in-hospital mortality in adults with encephalitis.
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