Evidence map›Paper›PMID 40442430›Full record

ArticleNeurocritical care2025

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

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

Abstract read
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Article in Neurocritical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jackson A Roberts *Program in Neuroinfectious Diseases, Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA. jroberts42@mgb.org.ORCID 0000-0003-2231-2454
Mohamed Ridha *Department of Stroke and Neurocritical Care, The Ohio State University, Columbus, OH, USA.
Carla Y KimProgram in Neuroinfectious Diseases, Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA.
Yifei SunDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Elizabeth CarrollDivision of Critical Care and Hospital Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA.
Jan ClaassenDivision of Critical Care and Hospital Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA.
Kiran T ThakurProgram in Neuroinfectious Diseases, Department of Neurology, Columbia University Irving Medical Center/New York Presbyterian Hospital, New York, NY, USA.

Funding

Clinical Impact of Early Pathogen Identification in Acute Neurological InfectionsK23NS105935 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI THAKUR, KIRAN TERESA · 2018 to 2022
$930k
Foundation for the National Institutes of Health 1K23NS105935-0NINDS NIH HHS K23 NS105935
6 · The paper itself

Abstract

backgroundPrognosis 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.

methodsWe 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.

resultsAmong 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.

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

Indexed as

EncephalitisIntensive Care UnitsOutcome Assessment, Health CareAdultFemaleGlasgow Outcome ScaleHeadacheHumansMaleMiddle AgedPrognosisRetrospective StudiesEncephalitisIntensive care unitsNeurocritical careNeuroinflammatory diseasesPrognosis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.