Evidence map›Paper›PMID 38761191›Full record

ArticleJournal of neurology2024

Validation of a risk score to differentiate autoimmune and viral encephalitis: a Nationwide Cohort Study in Denmark.

Lasse Fjordside, Mette Scheller Nissen, Anna Maria Florescu, Merete Storgaard, Lykke Larsen, Lothar Wiese, Hans Rudolf von Lüttichau, Micha Phill Grønholm Jepsen, Birgitte Rønde Hansen, Christian Østergaard Andersen and 5 more

Abstract readValidation Study
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

15 authors.

Lasse FjordsideDepartment of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark. lasse.fjordside@regionh.dk.ORCID http://orcid.org/0000-0001-6184-2576
Mette Scheller NissenDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Anna Maria FlorescuDepartment of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Merete StorgaardDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Lykke LarsenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Lothar WieseDepartment of Infectious Diseases, Sjællands University Hospital, Roskilde, Denmark.
Hans Rudolf von LüttichauDepartment of Infectious Diseases, Herlev and Gentofte Hospital, Copenhagen, Denmark.
Micha Phill Grønholm JepsenDepartment of Pulmonology and Infectious Diseases, Nordsjællands University Hospital, Hillerød, Denmark.
Birgitte Rønde HansenDepartment of Infectious Diseases, Hvidovre University Hospital, Copenhagen, Denmark.
Christian Østergaard AndersenDepartment for Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Jacob BodilsenDepartment of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark.
Henrik NielsenDepartment of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark.
Morten BlaabjergDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Anne-Mette LebechDepartment of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Helene MensDepartment of Infectious Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA score to differentiate autoimmune (AE) and viral encephalitis (VE) early upon admission has recently been developed but needed external validation. The objective of this study was to evaluate the performance of the score in a larger and more diagnostically diverse patient cohort.

methodsWe conducted a retrospective nationwide and population-based cohort study including all adults with encephalitis of definite viral (2015-2022) or autoimmune aetiology (2009-2022) in Denmark. Variables included in the score-model were extracted from patient records and individual risk scores were assessed. The performance of the score was assessed by receiver-operating characteristics (ROC) curve analyses and calculation of the area under the curve (AUC).

resultsA total of 496 patients with encephalitis [AE n = 90, VE n = 287 and presumed infectious encephalitis (PIE) n = 119] were included in the study. The score was highly accurate in predicting cases of AE reaching an AUC of 0.94 (95% CI 0.92-0.97). Having a score ≥ 3 predicted AE with a PPV of 87% and an NPV of 91%. The risk score was found to perform well across aetiological subgroups and applied to the PIE cohort resulted in an AUC of 0.88 (95% CI 0.84-0.93).

conclusionThe excellent performance of the score as reported in the development study was confirmed in this significantly larger and more diverse cohort of patients with encephalitis in Denmark. These results should prompt further prospective testing with wider inclusion criteria.

Indexed as

Encephalitis, ViralAdultAgedAged, 80 and overAutoimmune DiseasesCohort StudiesDenmarkDiagnosis, DifferentialEncephalitisFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentYoung AdultAutoimmune encephalitisEncephalitisRisk scoreValidationViral encephalitis

Identifiers

PMID38761191
PMCPMC11319475

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