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Background <p>Prognosis of acute encephalitis is variable and dependent on the underlying etiology, early treatment, and clinical course. Despite extensive evaluation, a cause of acute encephalitis may not be discovered, presenting a challenge to clinicians when discussing prognosis with families. We sought to determine whether clinical and radiographic features may discriminate short-term outcomes in patients with severe cryptogenic encephalitis.</p> Methods <p>We performed a single-center, retrospective study of patients admitted with cryptogenic encephalitis (i.e., unknown etiology at time of discharge) to the Columbia University Irving Medical Center neurologic intensive care unit (ICU) and the Morgan Stanley Children’s Hospital ICU from 2010 to 2020. A favorable discharge outcome was defined as Glasgow Outcome Scale score greater than or equal to 4. Using multivariable logistic regression modeling, we analyzed clinical and radiographic variables associated with favorable short-term outcome.</p> Results <p>Among 204 total patients with encephalitis admitted to the ICU, 51.0% were classified as cryptogenic. The median age was 49.9 (interquartile range 31–64) years, and the most common presenting symptoms were altered mental status (74.0%), fever (56.7%), and headache (46.2%). Favorable outcome occurred in 63.5% of cryptogenic cases. In the fully adjusted model, age above 50&#xa0;years (odds ratio [OR] 0.30, 95% confidence interval [CI] 0.11–0.81; <i>p</i> = 0.017), active malignancy (OR 0.07, 95% CI 0.01–0.63; <i>p</i> = 0.018), and intubation (OR 0.20, 95% CI 0.07–0.55, <i>p</i> = 0.002) were associated with reduced odds of favorable outcome. Older age, active malignancy, and intubation were identified as predictors of lower Glasgow Outcome Scale score using ordinal logistic regression.</p> Conclusions <p>Clinical characteristics may aid early prognostication of cryptogenic encephalitis. Further mechanistic study of the association between active malignancy among patients with cryptogenic encephalitis is warranted.</p>

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Clinical Description and Acute Outcomes of Cryptogenic Encephalitis in the Intensive Care Unit

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • Jackson A. Roberts,
  • Mohamed Ridha,
  • Carla Y. Kim,
  • Yifei Sun,
  • Elizabeth Carroll,
  • Jan Claassen,
  • Kiran T. Thakur

摘要

Background

Prognosis of acute encephalitis is variable and dependent on the underlying etiology, early treatment, and clinical course. Despite extensive evaluation, a cause of acute encephalitis may not be discovered, presenting a challenge to clinicians when discussing prognosis with families. We sought to determine whether clinical and radiographic features may discriminate short-term outcomes in patients with severe cryptogenic encephalitis.

Methods

We performed a single-center, retrospective study of patients admitted with cryptogenic encephalitis (i.e., unknown etiology at time of discharge) to the Columbia University Irving Medical Center neurologic intensive care unit (ICU) and the Morgan Stanley Children’s Hospital ICU from 2010 to 2020. A favorable discharge outcome was defined as Glasgow Outcome Scale score greater than or equal to 4. Using multivariable logistic regression modeling, we analyzed clinical and radiographic variables associated with favorable short-term outcome.

Results

Among 204 total patients with encephalitis admitted to the ICU, 51.0% were classified as cryptogenic. The median age was 49.9 (interquartile range 31–64) years, and the most common presenting symptoms were altered mental status (74.0%), fever (56.7%), and headache (46.2%). Favorable outcome occurred in 63.5% of cryptogenic cases. In the fully adjusted model, age above 50 years (odds ratio [OR] 0.30, 95% confidence interval [CI] 0.11–0.81; p = 0.017), active malignancy (OR 0.07, 95% CI 0.01–0.63; p = 0.018), and intubation (OR 0.20, 95% CI 0.07–0.55, p = 0.002) were associated with reduced odds of favorable outcome. Older age, active malignancy, and intubation were identified as predictors of lower Glasgow Outcome Scale score using ordinal logistic regression.

Conclusions

Clinical characteristics may aid early prognostication of cryptogenic encephalitis. Further mechanistic study of the association between active malignancy among patients with cryptogenic encephalitis is warranted.